From recruitment to performance: AI and ML transforming HR operations
The current era, known as the ‘digital age’, has seen digital transformation become a global consensus among businesses. Many experts believe that transformation has been accelerated by as much as half a decade in the wake of the pandemic, which saw digital transformation at a never-before-seen scale.
This transformation is disrupting almost all industries, and human resources (HR) is no exception. In this digitised world, HR must reinvent itself. By stepping up to this challenge, HR can create immense value for both organisations and their employees. However, it is crucial to note that AI and ML are not designed to replace managers but rather to support HR decision-making.
Artificial intelligence (AI) and machine learning (ML) have become prominent buzzwords in recent years, with vast potential applications in HR. AI refers to a computer program’s ability to learn and think, effectively simulating human behaviour and thought processes. ML, a subfield of AI, uses data-driven algorithms to perform complex tasks. These technologies can automate routine tasks, enhance decision-making processes, and enable HR professionals to focus on strategic initiatives.
Re: HR Analytics Dashboard – Microsoft Fabric Community
For example, despite the engaging nature of many jobs, repetitive tasks such as generating reports, verifying information, and analysing data will inevitably be done by AI. Utilising AI programs to perform these repetitive tasks can save time, increase productivity, and facilitate managerial decision-making.
One significant area where AI and ML are transforming HR is recruitment and talent acquisition. These technologies focus on collecting and using data to make informed talent decisions. AI-powered systems can analyse vast amounts of applicant data, screen and evaluate resumes, acknowledge and reject applicants, schedule interviews, check candidates’ backgrounds, and even conduct initial interviews. By identifying patterns and matching candidates with job requirements, AI enhances the efficiency of the hiring process.
Continual learning and development are essential for employees to stay competitive in today’s rapidly changing business landscape. AI and ML can personalise learning experiences by analysing individual skill gaps, learning styles, and career aspirations. Intelligent learning platforms can recommend tailored training programs, provide real-time feedback, and facilitate self-paced learning. These advancements enable HR to foster a culture of continuous learning, promote employee growth, and improve organisational performance.
Traditional performance management systems are often criticised for their lack of effectiveness. AI and ML can transform this process by providing real-time feedback, objective evaluations, and data-driven insights. AI-powered systems can automate performance reviews, allowing HR professionals to focus on more strategic initiatives.
HR Analytics Power bi Solution – EClytics: Business Intelligence
AI’s increasing influence on HR practices is evident, but it is crucial to remember that AI is a tool dependent on human input. The effectiveness of AI systems relies on the data people provide. Additionally, AI reflects the ‘coded gaze,’ which includes the preferences, priorities, and prejudices of those who develop these technologies. Algorithms use past information to predict future outcomes and ML systems imitate human behaviour.
These technologies act as invisible gatekeepers, increasingly influencing hiring decisions, employee performance assessments, and tenure decisions. Consequently, inaccurate data used by these algorithms could significantly impair someone’s career. The future is thus in the hands of software programs whose exact operations are often unknown.
The absence of a human factor in these processes could lead to bias and discrimination. Organisations must ensure that AI algorithms are regularly tested and examined to identify and correct any biases that may develop over time. While the potential of AI and ML in HR is vast, addressing the ethical considerations associated with their implementation is essential.
HR professionals must ensure transparency, fairness, and data privacy. Balancing human touch and technology is crucial to avoid a complete reliance on AI or ML, which could result in a loss of personal connection and empathy.
HR analytics Power BI Dashboard – Data visualization dashboard
In conclusion, the integration of AI and ML in HR is vital for the success of HR professionals. By staying updated on advancements in AI and ML, they can harness these technologies to drive positive change and make a significant impact on organisations. It is also important to consider how HR professionals and employees view and use AI and ML technologies.
Resistance to change and job displacement are common concerns. Organisations should offer opportunities for upskilling and training to improve technological literacy. Nevertheless, the increased use of these systems without understanding their implications could negatively impact our lives.
Ishraat Saira Wahid, PhD is an Assistant Professor of Business Administration & Human Resource Management at the College of Business Administration, Prince Mohammad Bin Fahd University, Kingdom of Saudi Arabia. Email: [email protected]
Disclaimer: The views and opinions expressed in this article are those of the author and do not necessarily reflect the opinions and views of The Business Standard.
How Darussalam Assets is tapping AI in HR operations
Darussalam Assets, a holding company managing a diverse portfolio of government-linked companies in Brunei, has been leveraging the power of artificial intelligence (AI) to improve its human resources (HR) operations.
Its journey began in 2016 with the implementation of SAP’s S/4Hana enterprise resource planning (ERP) suite across its portfolio companies, followed by the roll-out of the SAP SuccessFactors HR suite in 2019.
The adoption of SAP SuccessFactors was a crucial step, enabling the company to streamline its learning management, performance management and recruitment management systems.
More recently, Darussalam Assets has started using SuccessFactors’ business AI capabilities to automate and optimise various recruitment processes, resulting in significant time and resource savings.
An AI-powered job description generator, for instance, allows hiring managers to create job postings in minutes. These postings can then be sent to the HR team for approval within a day, a process that previously took days, according to Apurv Sharma, senior manager of group information systems at Darussalam Assets.
The company has also integrated SuccessFactors’ recruitment capabilities with Microsoft Teams, which allows the AI to generate interview questions based on the competencies and requirements outlined in job descriptions.
When a virtual interview is scheduled, the AI-generated interview questions are automatically populated in the Microsoft Teams platform, which the interviewers can then use to guide the conversation. This saves the interviewers time and effort, as they no longer need to manually craft questions or worry about ensuring consistency across interviews.
Darussalam Assets’ AI journey has not been without challenges, however. For one, it has to ensure that the job description generation tool can deliver accurate and reliable results. To this end, the company’s HR team worked closely with their IT counterparts to train the tool, aligning outputs with company standards and requirements.
“The moment we were done training with 10 to 15 job descriptions, from the 16th or 17th description onwards, it was already generating descriptions the way we wanted,” said Sharma. “It takes a bit of learning, but not too much as it learns very fast.”
Looking ahead, Darussalam Assets plans to leverage SAP’s Joule AI assistant to provide accurate and consistent information to employees on group policies, procedures and regulations. This would reduce the need for manual lookups and improve the overall employee experience.
“Rather than use an outside AI model and getting all sorts of information which might be inaccurate, we want to train Joule on the information we have,” said Sharma. “Across the group, this chatbot can be available at any point of time to provide standard answers to questions like, ‘What’s the amount of annual leave available to executives?’”
Additionally, the company is testing the use of AI to analyse candidate profiles and match them to the required skills and competencies, improving the efficiency of the screening process.
Even as Darussalam Assets is making use of AI-infused business applications like SuccessFactors, the company is still building AI models to bring AI capabilities to other systems it uses that are not AI-capable, at a time when the technology is being overhyped.
Sharma noted that while many technology suppliers may pitch a system as AI-capable, “it doesn’t make sense until you really have it in your hands to see what it has learned and get insights out of it – and if it’s not there, then it’s no use”.
From recruitment to performance: AI and ML transforming HR operations
The current era, known as the ‘digital age’, has seen digital transformation become a global consensus among businesses. Many experts believe that transformation has been accelerated by as much as half a decade in the wake of the pandemic, which saw digital transformation at a never-before-seen scale.
This transformation is disrupting almost all industries, and human resources (HR) is no exception. In this digitised world, HR must reinvent itself. By stepping up to this challenge, HR can create immense value for both organisations and their employees. However, it is crucial to note that AI and ML are not designed to replace managers but rather to support HR decision-making.
Artificial intelligence (AI) and machine learning (ML) have become prominent buzzwords in recent years, with vast potential applications in HR. AI refers to a computer program’s ability to learn and think, effectively simulating human behaviour and thought processes. ML, a subfield of AI, uses data-driven algorithms to perform complex tasks. These technologies can automate routine tasks, enhance decision-making processes, and enable HR professionals to focus on strategic initiatives.
For example, despite the engaging nature of many jobs, repetitive tasks such as generating reports, verifying information, and analysing data will inevitably be done by AI. Utilising AI programs to perform these repetitive tasks can save time, increase productivity, and facilitate managerial decision-making.
One significant area where AI and ML are transforming HR is recruitment and talent acquisition. These technologies focus on collecting and using data to make informed talent decisions. AI-powered systems can analyse vast amounts of applicant data, screen and evaluate resumes, acknowledge and reject applicants, schedule interviews, check candidates’ backgrounds, and even conduct initial interviews. By identifying patterns and matching candidates with job requirements, AI enhances the efficiency of the hiring process.
Continual learning and development are essential for employees to stay competitive in today’s rapidly changing business landscape. AI and ML can personalise learning experiences by analysing individual skill gaps, learning styles, and career aspirations. Intelligent learning platforms can recommend tailored training programs, provide real-time feedback, and facilitate self-paced learning. These advancements enable HR to foster a culture of continuous learning, promote employee growth, and improve organisational performance.
Traditional performance management systems are often criticised for their lack of effectiveness. AI and ML can transform this process by providing real-time feedback, objective evaluations, and data-driven insights. AI-powered systems can automate performance reviews, allowing HR professionals to focus on more strategic initiatives.
AI’s increasing influence on HR practices is evident, but it is crucial to remember that AI is a tool dependent on human input. The effectiveness of AI systems relies on the data people provide. Additionally, AI reflects the ‘coded gaze,’ which includes the preferences, priorities, and prejudices of those who develop these technologies. Algorithms use past information to predict future outcomes and ML systems imitate human behaviour.
These technologies act as invisible gatekeepers, increasingly influencing hiring decisions, employee performance assessments, and tenure decisions. Consequently, inaccurate data used by these algorithms could significantly impair someone’s career. The future is thus in the hands of software programs whose exact operations are often unknown.
The absence of a human factor in these processes could lead to bias and discrimination. Organisations must ensure that AI algorithms are regularly tested and examined to identify and correct any biases that may develop over time. While the potential of AI and ML in HR is vast, addressing the ethical considerations associated with their implementation is essential.
HR professionals must ensure transparency, fairness, and data privacy. Balancing human touch and technology is crucial to avoid a complete reliance on AI or ML, which could result in a loss of personal connection and empathy.
In conclusion, the integration of AI and ML in HR is vital for the success of HR professionals. By staying updated on advancements in AI and ML, they can harness these technologies to drive positive change and make a significant impact on organisations. It is also important to consider how HR professionals and employees view and use AI and ML technologies.
Resistance to change and job displacement are common concerns. Organisations should offer opportunities for upskilling and training to improve technological literacy. Nevertheless, the increased use of these systems without understanding their implications could negatively impact our lives.
Ishraat Saira Wahid, PhD is an Assistant Professor of Business Administration & Human Resource Management at the College of Business Administration, Prince Mohammad Bin Fahd University, Kingdom of Saudi Arabia. Email: [email protected]
Disclaimer: The views and opinions expressed in this article are those of the author and do not necessarily reflect the opinions and views of The Business Standard.
Joanna Riley, CEO & cofounder of Censia. Striving for a more just and efficient global economy through better talent data and technology.
getty
In the age of data-driven decision-making, the significance of structured, multidimensional data cannot be overstated. This data type forms the backbone of advanced AI systems, facilitating nuanced insights and predictive analytics essential for modern business strategies, including talent management.
Data-Driven Recruiting And Talent Management
Companies that harness data in talent management have seen remarkable improvements in both efficiency and insights into workforce dynamics. For instance, incorporating data-driven strategies in recruiting has been shown to significantly enhance the quality of the workforce, increase productivity, and support unbiased hiring decisions. Workable’s comprehensive guide on data-driven recruiting emphasizes the importance of choosing the right data and metrics, collecting data efficiently, and acting on this data to improve hiring processes.
Multidimensional data isn’t a new concept. Most business intelligence (finance, consumer behavior, etc.) relies on structured data across multiple dimensions to gain profound insight and determine future strategy. HR has always been the big exception because HR has traditionally been one-dimensional (a linear resume of qualifications matched to a linear list of job requirements), often inaccurate or messy (outdated profiles, multiple job titles meaning similar things, etc.), and limited only the candidate and the role—not, for instance, other important factors such as the industry or the organization.
By cleaning and structuring this talent data and introducing new layers of information (company size, revenue levels, company events, industry and more), the insight that AI can derive from this data grows immensely.
The deployment of structured, multidimensional data in talent management allows organizations to gain a deep and holistic understanding of their workforce, encompassing diverse dimensions such as people, jobs, skills, and industries. This comprehensive dataset supports AI-driven solutions, enabling organizations to navigate complexities with precision and agility. MyHRfuture highlights how data-driven HR impacts recruitment and talent management by measuring key talent acquisition data points for greater impact, supporting workforce planning, and facilitating training and development.
Inferring Skills And Bridging Gaps
The capacity of structured data to infer skills is invaluable in talent acquisition and workforce planning, where accurate skill assessment is crucial. Analyzing patterns and contextual information allows AI-powered systems to uncover latent skills, providing a broader understanding of individuals’ capabilities.
Transformative Impact Of AI In Talent Management
The convergence of structured data and AI heralds a new era in talent management, with organizations increasingly turning to AI-driven solutions to streamline processes and decision-making. Korn Ferry’s insights into the telecom sector, for example, reveal the critical role of strategy and talent in organizational success, emphasizing the importance of learning agility as a predictor of long-term leadership potential.
To further underscore the transformative power of data in talent management, it’s essential to recognize the nuanced ways in which organizations leverage this data to foster a culture of continuous learning and adaptability. A data-driven approach streamlines recruitment and talent development and underpins strategic workforce planning and development initiatives. According to research by Deloitte, integrating data analytics into HR practices enables organizations to forecast talent needs, identify skill gaps, and optimize resource allocation more effectively. This strategic alignment ensures that talent management efforts are about filling positions and building a resilient, skilled workforce capable of driving long-term business growth.
Moreover, adopting AI and data analytics in talent management extends beyond operational efficiency to enhancing the employee experience. Organizations can address individual career aspirations and skill development needs by personalizing learning and development opportunities, thereby increasing engagement and retention. This personalized approach, grounded in data, signifies a shift from traditional, one-size-fits-all HR practices to more dynamic, responsive strategies that value and cultivate individual talent.
In this rapidly evolving landscape, harnessing and interpreting multidimensional data becomes a critical competitive advantage, enabling organizations to navigate the complexities of the modern workforce with agility and insight.
Common Pitfalls When Adopting Talent Intelligence
Several common pitfalls occur when organizations adopt this type of technology. The first is that system implementations are prone to failure. According to a Deloitte study, 70% of digital transformation efforts are considered less than successful, and organizations require three years to start competing in digital markets. Working with APIs or native integrations to upgrade current systems is one way to avoid the financial, time and engagement loss caused by this.
The other big pitfall is not understanding the data well enough. It is essential to ask how the data is collected, cleaned and structured. If a provider runs new algorithms on old data or limited source data, you’ll get biased and unreliable results.
And finally, you’ll want to understand the legal restrictions you might face in your field. Several regions have already restricted the use of AI in HR decision-making, so you’ll want to make sure that you deploy it in a way that assists, not replaces, your team and their decisions.
Embracing A Data-Driven Future
As organizations undergo digital transformation, the importance of leveraging structured, multidimensional data and AI will continue to grow. McKinsey’s guide on building a data-driven strategy highlights the need for an integrated approach to data sourcing, model building, and organizational transformation tailored to the company’s desired business impact.
In conclusion, structured, multidimensional data is the cornerstone of AI-driven talent management, enabling organizations to unlock insights, optimize processes, and drive strategic outcomes. By leveraging advanced analytics and AI technologies, organizations can chart a course toward a data-driven future where talent becomes a true differentiator in driving business success.
Forbes Technology Council is an invitation-only community for world-class CIOs, CTOs and technology executives. Do I qualify?
From recruitment to performance: AI and ML transforming HR operations
The current era, known as the ‘digital age’, has seen digital transformation become a global consensus among businesses. Many experts believe that transformation has been accelerated by as much as half a decade in the wake of the pandemic, which saw digital transformation at a never-before-seen scale.
This transformation is disrupting almost all industries, and human resources (HR) is no exception. In this digitised world, HR must reinvent itself. By stepping up to this challenge, HR can create immense value for both organisations and their employees. However, it is crucial to note that AI and ML are not designed to replace managers but rather to support HR decision-making.
Artificial intelligence (AI) and machine learning (ML) have become prominent buzzwords in recent years, with vast potential applications in HR. AI refers to a computer program’s ability to learn and think, effectively simulating human behaviour and thought processes. ML, a subfield of AI, uses data-driven algorithms to perform complex tasks. These technologies can automate routine tasks, enhance decision-making processes, and enable HR professionals to focus on strategic initiatives.
For example, despite the engaging nature of many jobs, repetitive tasks such as generating reports, verifying information, and analysing data will inevitably be done by AI. Utilising AI programs to perform these repetitive tasks can save time, increase productivity, and facilitate managerial decision-making.
One significant area where AI and ML are transforming HR is recruitment and talent acquisition. These technologies focus on collecting and using data to make informed talent decisions. AI-powered systems can analyse vast amounts of applicant data, screen and evaluate resumes, acknowledge and reject applicants, schedule interviews, check candidates’ backgrounds, and even conduct initial interviews. By identifying patterns and matching candidates with job requirements, AI enhances the efficiency of the hiring process.
Continual learning and development are essential for employees to stay competitive in today’s rapidly changing business landscape. AI and ML can personalise learning experiences by analysing individual skill gaps, learning styles, and career aspirations. Intelligent learning platforms can recommend tailored training programs, provide real-time feedback, and facilitate self-paced learning. These advancements enable HR to foster a culture of continuous learning, promote employee growth, and improve organisational performance.
Traditional performance management systems are often criticised for their lack of effectiveness. AI and ML can transform this process by providing real-time feedback, objective evaluations, and data-driven insights. AI-powered systems can automate performance reviews, allowing HR professionals to focus on more strategic initiatives.
AI’s increasing influence on HR practices is evident, but it is crucial to remember that AI is a tool dependent on human input. The effectiveness of AI systems relies on the data people provide. Additionally, AI reflects the ‘coded gaze,’ which includes the preferences, priorities, and prejudices of those who develop these technologies. Algorithms use past information to predict future outcomes and ML systems imitate human behaviour.
These technologies act as invisible gatekeepers, increasingly influencing hiring decisions, employee performance assessments, and tenure decisions. Consequently, inaccurate data used by these algorithms could significantly impair someone’s career. The future is thus in the hands of software programs whose exact operations are often unknown.
The absence of a human factor in these processes could lead to bias and discrimination. Organisations must ensure that AI algorithms are regularly tested and examined to identify and correct any biases that may develop over time. While the potential of AI and ML in HR is vast, addressing the ethical considerations associated with their implementation is essential.
HR professionals must ensure transparency, fairness, and data privacy. Balancing human touch and technology is crucial to avoid a complete reliance on AI or ML, which could result in a loss of personal connection and empathy.
In conclusion, the integration of AI and ML in HR is vital for the success of HR professionals. By staying updated on advancements in AI and ML, they can harness these technologies to drive positive change and make a significant impact on organisations. It is also important to consider how HR professionals and employees view and use AI and ML technologies.
Resistance to change and job displacement are common concerns. Organisations should offer opportunities for upskilling and training to improve technological literacy. Nevertheless, the increased use of these systems without understanding their implications could negatively impact our lives.
Ishraat Saira Wahid, PhD is an Assistant Professor of Business Administration & Human Resource Management at the College of Business Administration, Prince Mohammad Bin Fahd University, Kingdom of Saudi Arabia. Email: [email protected]
Disclaimer: The views and opinions expressed in this article are those of the author and do not necessarily reflect the opinions and views of The Business Standard.
Talent Intelligence: Unlocking The Power Of Multidimensional Data
Joanna Riley, CEO & cofounder of Censia. Striving for a more just and efficient global economy through better talent data and technology.
getty
In the age of data-driven decision-making, the significance of structured, multidimensional data cannot be overstated. This data type forms the backbone of advanced AI systems, facilitating nuanced insights and predictive analytics essential for modern business strategies, including talent management.
Data-Driven Recruiting And Talent Management
Companies that harness data in talent management have seen remarkable improvements in both efficiency and insights into workforce dynamics. For instance, incorporating data-driven strategies in recruiting has been shown to significantly enhance the quality of the workforce, increase productivity, and support unbiased hiring decisions. Workable’s comprehensive guide on data-driven recruiting emphasizes the importance of choosing the right data and metrics, collecting data efficiently, and acting on this data to improve hiring processes.
The Rise Of Multidimensional Data in HR
Multidimensional data isn’t a new concept. Most business intelligence (finance, consumer behavior, etc.) relies on structured data across multiple dimensions to gain profound insight and determine future strategy. HR has always been the big exception because HR has traditionally been one-dimensional (a linear resume of qualifications matched to a linear list of job requirements), often inaccurate or messy (outdated profiles, multiple job titles meaning similar things, etc.), and limited only the candidate and the role—not, for instance, other important factors such as the industry or the organization.
By cleaning and structuring this talent data and introducing new layers of information (company size, revenue levels, company events, industry and more), the insight that AI can derive from this data grows immensely.
The deployment of structured, multidimensional data in talent management allows organizations to gain a deep and holistic understanding of their workforce, encompassing diverse dimensions such as people, jobs, skills, and industries. This comprehensive dataset supports AI-driven solutions, enabling organizations to navigate complexities with precision and agility. MyHRfuture highlights how data-driven HR impacts recruitment and talent management by measuring key talent acquisition data points for greater impact, supporting workforce planning, and facilitating training and development.
Inferring Skills And Bridging Gaps
The capacity of structured data to infer skills is invaluable in talent acquisition and workforce planning, where accurate skill assessment is crucial. Analyzing patterns and contextual information allows AI-powered systems to uncover latent skills, providing a broader understanding of individuals’ capabilities.
Transformative Impact Of AI In Talent Management
The convergence of structured data and AI heralds a new era in talent management, with organizations increasingly turning to AI-driven solutions to streamline processes and decision-making. Korn Ferry’s insights into the telecom sector, for example, reveal the critical role of strategy and talent in organizational success, emphasizing the importance of learning agility as a predictor of long-term leadership potential.
To further underscore the transformative power of data in talent management, it’s essential to recognize the nuanced ways in which organizations leverage this data to foster a culture of continuous learning and adaptability. A data-driven approach streamlines recruitment and talent development and underpins strategic workforce planning and development initiatives. According to research by Deloitte, integrating data analytics into HR practices enables organizations to forecast talent needs, identify skill gaps, and optimize resource allocation more effectively. This strategic alignment ensures that talent management efforts are about filling positions and building a resilient, skilled workforce capable of driving long-term business growth.
Moreover, adopting AI and data analytics in talent management extends beyond operational efficiency to enhancing the employee experience. Organizations can address individual career aspirations and skill development needs by personalizing learning and development opportunities, thereby increasing engagement and retention. This personalized approach, grounded in data, signifies a shift from traditional, one-size-fits-all HR practices to more dynamic, responsive strategies that value and cultivate individual talent.
In this rapidly evolving landscape, harnessing and interpreting multidimensional data becomes a critical competitive advantage, enabling organizations to navigate the complexities of the modern workforce with agility and insight.
Common Pitfalls When Adopting Talent Intelligence
Several common pitfalls occur when organizations adopt this type of technology. The first is that system implementations are prone to failure. According to a Deloitte study, 70% of digital transformation efforts are considered less than successful, and organizations require three years to start competing in digital markets. Working with APIs or native integrations to upgrade current systems is one way to avoid the financial, time and engagement loss caused by this.
The other big pitfall is not understanding the data well enough. It is essential to ask how the data is collected, cleaned and structured. If a provider runs new algorithms on old data or limited source data, you’ll get biased and unreliable results.
And finally, you’ll want to understand the legal restrictions you might face in your field. Several regions have already restricted the use of AI in HR decision-making, so you’ll want to make sure that you deploy it in a way that assists, not replaces, your team and their decisions.
Embracing A Data-Driven Future
As organizations undergo digital transformation, the importance of leveraging structured, multidimensional data and AI will continue to grow. McKinsey’s guide on building a data-driven strategy highlights the need for an integrated approach to data sourcing, model building, and organizational transformation tailored to the company’s desired business impact.
In conclusion, structured, multidimensional data is the cornerstone of AI-driven talent management, enabling organizations to unlock insights, optimize processes, and drive strategic outcomes. By leveraging advanced analytics and AI technologies, organizations can chart a course toward a data-driven future where talent becomes a true differentiator in driving business success.
Forbes Technology Council is an invitation-only community for world-class CIOs, CTOs and technology executives. Do I qualify?
From recruitment to performance: AI and ML transforming HR operations
The current era, known as the ‘digital age’, has seen digital transformation become a global consensus among businesses. Many experts believe that transformation has been accelerated by as much as half a decade in the wake of the pandemic, which saw digital transformation at a never-before-seen scale.
This transformation is disrupting almost all industries, and human resources (HR) is no exception. In this digitised world, HR must reinvent itself. By stepping up to this challenge, HR can create immense value for both organisations and their employees. However, it is crucial to note that AI and ML are not designed to replace managers but rather to support HR decision-making.
Artificial intelligence (AI) and machine learning (ML) have become prominent buzzwords in recent years, with vast potential applications in HR. AI refers to a computer program’s ability to learn and think, effectively simulating human behaviour and thought processes. ML, a subfield of AI, uses data-driven algorithms to perform complex tasks. These technologies can automate routine tasks, enhance decision-making processes, and enable HR professionals to focus on strategic initiatives.
For example, despite the engaging nature of many jobs, repetitive tasks such as generating reports, verifying information, and analysing data will inevitably be done by AI. Utilising AI programs to perform these repetitive tasks can save time, increase productivity, and facilitate managerial decision-making.
One significant area where AI and ML are transforming HR is recruitment and talent acquisition. These technologies focus on collecting and using data to make informed talent decisions. AI-powered systems can analyse vast amounts of applicant data, screen and evaluate resumes, acknowledge and reject applicants, schedule interviews, check candidates’ backgrounds, and even conduct initial interviews. By identifying patterns and matching candidates with job requirements, AI enhances the efficiency of the hiring process.
Continual learning and development are essential for employees to stay competitive in today’s rapidly changing business landscape. AI and ML can personalise learning experiences by analysing individual skill gaps, learning styles, and career aspirations. Intelligent learning platforms can recommend tailored training programs, provide real-time feedback, and facilitate self-paced learning. These advancements enable HR to foster a culture of continuous learning, promote employee growth, and improve organisational performance.
Traditional performance management systems are often criticised for their lack of effectiveness. AI and ML can transform this process by providing real-time feedback, objective evaluations, and data-driven insights. AI-powered systems can automate performance reviews, allowing HR professionals to focus on more strategic initiatives.
AI’s increasing influence on HR practices is evident, but it is crucial to remember that AI is a tool dependent on human input. The effectiveness of AI systems relies on the data people provide. Additionally, AI reflects the ‘coded gaze,’ which includes the preferences, priorities, and prejudices of those who develop these technologies. Algorithms use past information to predict future outcomes and ML systems imitate human behaviour.
These technologies act as invisible gatekeepers, increasingly influencing hiring decisions, employee performance assessments, and tenure decisions. Consequently, inaccurate data used by these algorithms could significantly impair someone’s career. The future is thus in the hands of software programs whose exact operations are often unknown.
The absence of a human factor in these processes could lead to bias and discrimination. Organisations must ensure that AI algorithms are regularly tested and examined to identify and correct any biases that may develop over time. While the potential of AI and ML in HR is vast, addressing the ethical considerations associated with their implementation is essential.
HR professionals must ensure transparency, fairness, and data privacy. Balancing human touch and technology is crucial to avoid a complete reliance on AI or ML, which could result in a loss of personal connection and empathy.
In conclusion, the integration of AI and ML in HR is vital for the success of HR professionals. By staying updated on advancements in AI and ML, they can harness these technologies to drive positive change and make a significant impact on organisations. It is also important to consider how HR professionals and employees view and use AI and ML technologies.
Resistance to change and job displacement are common concerns. Organisations should offer opportunities for upskilling and training to improve technological literacy. Nevertheless, the increased use of these systems without understanding their implications could negatively impact our lives.
Ishraat Saira Wahid, PhD is an Assistant Professor of Business Administration & Human Resource Management at the College of Business Administration, Prince Mohammad Bin Fahd University, Kingdom of Saudi Arabia. Email: [email protected]
Disclaimer: The views and opinions expressed in this article are those of the author and do not necessarily reflect the opinions and views of The Business Standard.
How Darussalam Assets is tapping AI in HR operations
Darussalam Assets, a holding company managing a diverse portfolio of government-linked companies in Brunei, has been leveraging the power of artificial intelligence (AI) to improve its human resources (HR) operations.
Its journey began in 2016 with the implementation of SAP’s S/4Hana enterprise resource planning (ERP) suite across its portfolio companies, followed by the roll-out of the SAP SuccessFactors HR suite in 2019.
The adoption of SAP SuccessFactors was a crucial step, enabling the company to streamline its learning management, performance management and recruitment management systems.
More recently, Darussalam Assets has started using SuccessFactors’ business AI capabilities to automate and optimise various recruitment processes, resulting in significant time and resource savings.
An AI-powered job description generator, for instance, allows hiring managers to create job postings in minutes. These postings can then be sent to the HR team for approval within a day, a process that previously took days, according to Apurv Sharma, senior manager of group information systems at Darussalam Assets.
The company has also integrated SuccessFactors’ recruitment capabilities with Microsoft Teams, which allows the AI to generate interview questions based on the competencies and requirements outlined in job descriptions.
When a virtual interview is scheduled, the AI-generated interview questions are automatically populated in the Microsoft Teams platform, which the interviewers can then use to guide the conversation. This saves the interviewers time and effort, as they no longer need to manually craft questions or worry about ensuring consistency across interviews.
Darussalam Assets’ AI journey has not been without challenges, however. For one, it has to ensure that the job description generation tool can deliver accurate and reliable results. To this end, the company’s HR team worked closely with their IT counterparts to train the tool, aligning outputs with company standards and requirements.
“The moment we were done training with 10 to 15 job descriptions, from the 16th or 17th description onwards, it was already generating descriptions the way we wanted,” said Sharma. “It takes a bit of learning, but not too much as it learns very fast.”
Looking ahead, Darussalam Assets plans to leverage SAP’s Joule AI assistant to provide accurate and consistent information to employees on group policies, procedures and regulations. This would reduce the need for manual lookups and improve the overall employee experience.
“Rather than use an outside AI model and getting all sorts of information which might be inaccurate, we want to train Joule on the information we have,” said Sharma. “Across the group, this chatbot can be available at any point of time to provide standard answers to questions like, ‘What’s the amount of annual leave available to executives?’”
Additionally, the company is testing the use of AI to analyse candidate profiles and match them to the required skills and competencies, improving the efficiency of the screening process.
Even as Darussalam Assets is making use of AI-infused business applications like SuccessFactors, the company is still building AI models to bring AI capabilities to other systems it uses that are not AI-capable, at a time when the technology is being overhyped.
Sharma noted that while many technology suppliers may pitch a system as AI-capable, “it doesn’t make sense until you really have it in your hands to see what it has learned and get insights out of it – and if it’s not there, then it’s no use”.
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Talent Intelligence: Unlocking The Power Of… Talent Intelligence: Unlocking The Power Of Multidimensional Data Joanna Riley, CEO & cofounder of Censia. Striving for a more just and efficient global economy through better talent data and technology. getty In the age of data-driven decision-making, the significance of structured, multidimensional data cannot be overstated. This data type forms the backbone of advanced AI systems, facilitating nuanced insights and predictive analytics essential for modern business strategies, including talent management. What Is Business Intelligence (BI)? Types, Benefits, and Examples Data-Driven Recruiting And Talent Management Companies that harness data in talent management have seen remarkable improvements in both efficiency and insights…
Talent Intelligence: Unlocking The Power Of… Talent Intelligence: Unlocking The Power Of Multidimensional Data Joanna Riley, CEO & cofounder of Censia. Striving for a more just and efficient global economy through better talent data and technology. getty In the age of data-driven decision-making, the significance of structured, multidimensional data cannot be overstated. This data type forms the backbone of advanced AI systems, facilitating nuanced insights and predictive analytics essential for modern business strategies, including talent management. Microsoft Business Intelligence – Business Excellence Data-Driven Recruiting And Talent Management Companies that harness data in talent management have seen remarkable improvements in both efficiency and insights into workforce dynamics.…
The Four Pillars of Business Intelligence Transforming Your Organization with the Power of Business Intelligence Share Share How to Transform your Business With Power BI - Atidan Technology Share Email Microsoft Power BI Data Visualization Business intelligence With the ability to drive strategic initiatives, make educated decisions and extract valuable insights from raw data, business intelligence (BI) has become a key enabler for organizational success. BI has revolutionized the way businesses operate and plan for the future in this age of intense competition and rapid technological advancement. One of the most powerful business intelligence tools available, Intellicus has provided tailored solutions to…
Business Intelligence in ERP (The Role of BI Tools in ERP) De-siloing the enterprise: The challenges and opportunities in data consolidation A hot topic in the data management space is the argument against data silos. Factors such as generative artificial intelligence and decentralized data infrastructures have intensified the need to embrace the data consolidation ethos. RelationalAI’s Molham Aref discusses modern data platforms. What is the imperative to de-silo data operations? And what challenges and opportunities exist as companies move toward interconnected data infrastructures? “You’re building intelligent applications, and by definition, these applications have to look at data,” said Molham Aref (pictured), chief executive officer of RelationalAI Inc. “The old architecture is where…
BI tools give businesses access to real-time data Transforming Your Organization with the Power of Business Intelligence Share Share What is Power BI - BeyondKey Systems Share Email Connect MySQL To Power BI Step By Step [] - ScaleGrid With the ability to drive strategic initiatives, make educated decisions and extract valuable insights from raw data, business intelligence (BI) has become a key enabler for organizational success. BI has revolutionized the way businesses operate and plan for the future in this age of intense competition and rapid technological advancement. One of the most powerful business intelligence tools available, Intellicus has provided tailored solutions to…
What is Business Intelligence (BI): Complete Implementation Transforming Your Organization with the Power of Business Intelligence Share Share Understanding Business Intelligence Through Modernizing ETL Share Email How to choose the right ETL tool? Bismart Partner Power BI With the ability to drive strategic initiatives, make educated decisions and extract valuable insights from raw data, business intelligence (BI) has become a key enabler for organizational success. BI has revolutionized the way businesses operate and plan for the future in this age of intense competition and rapid technological advancement. One of the most powerful business intelligence tools available, Intellicus has provided tailored solutions to over…
The Rise Of Multidimensional Data in HR Innovative Data Strategies: Leveraging AI For Smarter Enterprise Operations Aug 14, 2024,10:15am EDT From Hidden Energy To High Performance: How To Engage Introverts To Optimize Workplace Dynamics”,”scope”:{“topStory”:{“index”:1,”title”:”From Hidden Energy To High Performance: How To Engage Introverts To Optimize Workplace Dynamics”,”image”:”https://specials-images.forbesimg.com/imageserve/66bb9eaf2f4db016e24d098c/290×0.jpg”,”isHappeningNowArticle”:false,”date”:{“monthDayYear”:”Aug 14, 2024″,”hourMinute”:”10:15″,”amPm”:”am”,”isEDT”:true,”unformattedDate”:1723644900000},”uri”:”https://www.forbes.com/councils/forbestechcouncil/2024/08/14/from-hidden-energy-to-high-performance-how-to-engage-introverts-to-optimize-workplace-dynamics/”}},”id”:”3cdprf7g2i5000″},{“textContent”:” Aug 14, 2024,10:00am EDT ETL (Extract, Transform and Load) Definition: What does ETL mean The Best Recipes For Human Connection In Healthcare Combine Digital And Analog Ingredients”,”scope”:{“topStory”:{“index”:2,”title”:”The Best Recipes For Human Connection In Healthcare Combine Digital And Analog Ingredients”,”image”:”https://specials-images.forbesimg.com/imageserve/66bb9df512367aad52f0b0e5/290×0.jpg”,”isHappeningNowArticle”:false,”date”:{“monthDayYear”:”Aug 14, 2024″,”hourMinute”:”10:00″,”amPm”:”am”,”isEDT”:true,”unformattedDate”:1723644000000},”uri”:”https://www.forbes.com/councils/forbestechcouncil/2024/08/14/the-best-recipes-for-human-connection-in-healthcare-combine-digital-and-analog-ingredients/”}},”id”:”2g9401pdpj3g00″},{“textContent”:” Aug 14, 2024,09:45am EDT Overcoming The Challenges Of Using AI Chatbots In Healthcare”,”scope”:{“topStory”:{“index”:3,”title”:”Overcoming The Challenges Of Using…
AI is approaching an open-source inflection point… AI is approaching an open-source inflection point $75 per month Complete digital access to quality FT journalism with expert analysis from industry leaders. Pay a year upfront and save 20%. Global news & analysisExpert opinionFT App on Android & iOSFT Edit appFirstFT: the day’s biggest stories20+ curated newslettersFollow topics & set alerts with myFTFT Videos & Podcasts20 monthly gift articles to shareLex: FT’s flagship investment column15+ Premium newsletters by leading expertsFT Digital Edition: our digitised print edition Small language models and open source are transforming AI Free and Open Source Business Intelligence Tools Logz SLMs also sharpen customization. These models…
Hidden Apple Intelligence Features Revealed Hidden Apple Intelligence Features Revealed Apple’s latest iOS 18.1 beta 2 update brings a suite of advanced AI-driven features for Apple Intelligence designed to transform your user experience. These hidden gems leverage Apple’s innovative AI technology to automate tasks, enhance communication, and create personalized content, ultimately streamlining your daily interactions with your device. Let’s dive into the details of these innovative features. Smart Reply: Effortless Email and Message Responses The Smart Reply feature in iOS 18.1 takes the hassle out of responding to emails and messages. Intelligently analyzing the content of your incoming communications suggests complete, contextually relevant replies. Whether you receive…
Paid Apple Intelligence features won’t come until at… Paid Apple Intelligence features won’t come until at least 2027 In years to come, some advanced Apple Intelligence features could have a price tag attached. In the forthcoming Apple Intelligence features, there was no mention of any fees or subscription charges. That could change as early as 2027. AppleInsider has previously discussed that future Apple Intelligence features, particularly those for more advanced users, could come with a subscription or fee structure. That said, it is unlikely that users will see such features before 2027 at the earliest, according to Bloomberg’s Power On newsletter. The first set of features of Apple…
Understanding Business Intelligence Transforming Your Organization with the Power of Business Intelligence Share Share reasons to use Microsoft Power BI Stitch Share Email Power BI - Data Visualization Microsoft Power Platform With the ability to drive strategic initiatives, make educated decisions and extract valuable insights from raw data, business intelligence (BI) has become a key enabler for organizational success. BI has revolutionized the way businesses operate and plan for the future in this age of intense competition and rapid technological advancement. One of the most powerful business intelligence tools available, Intellicus has provided tailored solutions to over 17,000 small…
Business Intelligence vs. Competitive Intelligence Business Intelligence vs. Competitive Intelligence: What’s the Difference? Business Intelligence vs. Competitive Intelligence: An Overview Competitive intelligence is the act of understanding a company’s industry and industry rivals so the company can make better business decisions. Business intelligence refers to the tools, software, and systems that play a vital role in the strategic planning process of a company. Key Takeaways Competitive intelligence is the outward-focused analysis of a business’s competitors to identify advantages and potential strategies.In contrast, business intelligence is the inward-focused evaluation of the business’s own data, which can help improve efficiency and growth.Combining both business and competitive intelligence…
How Gen Z Is Changing Business and the Workplace Microsoft to reinvent office apps with Artificial Intelligence toolsWashington [US], March 17 (ANI): Microsoft is reinventing its Power Platform’s software development, including Outlook, PowerPoint, Excel and Word, with AI-powered no-code development and adding new features like Copilot. In an event on Thursday (Local Time), the company announced that Microsoft 365 users will soon be able to use what the company is calling an AI “Co-pilot,” Microsoft said in a statement. “Makers now have a live in-studio copilot that helps them build solutions and provides suggestions for improvement. To build an app, flow, or bot, you can describe it using natural…
How Zebra Technologies Uses Machine Vision to… How Zebra Technologies Uses Machine Vision to Transform Production Automation Machine vision is the focus of Machine Design’s Takeover Topic Event (Aug. 12-16, 2024). Covering the gamut of vision systems, the lineup includes case histories, trends and interviews with notable players to watch in this space. In the accompanying video, Andrew Zosel, senior vice president and general manager, Zebra Technologies, explains the vision and strategy behind recent acquisitions and the resultant solutions. Machine vision is a significant part of that investment and future growth at Zebra, said Zosel. (In parts 2 and 3 of this interview series focusing on machine…
Smart Automation: AI’s Impact On Operational Efficiency Smart Automation: AI’s Impact On Operational Efficiency Atal Bansal is the Founder and CEO at Chetu, a global U.S.-based custom software solutions and support services provider. getty AI “smart” or “intelligent” automation seems unstoppable because it promises to save money, minimize human error, and produce faster results. The impact on workers and the workplace will be dramatic. Business Intelligence: making Smart Business Decisions Goldman Sachs reports that “two-thirds of occupations could be partially automated by AI.” McKinsey echoes this sentiment in an article: “Current generative AI and other technologies have the potential to automate work activities that absorb 60 to…
Transforming of Power Business Intelligence Transforming Your Organization with the Power of Business Intelligence Share Share What are Business Intelligence Tools and the Types of Business Share Email The Business Intelligence Index - Gradient Flow With the ability to drive strategic initiatives, make educated decisions and extract valuable insights from raw data, business intelligence (BI) has become a key enabler for organizational success. BI has revolutionized the way businesses operate and plan for the future in this age of intense competition and rapid technological advancement. One of the most powerful business intelligence tools available, Intellicus has provided tailored solutions to over…
Dashboards, Business Intelligence and Reporting… NANO Nuclear Energy Appoints Former Congressman and District Attorney Dan Donovan to its Executive Advisory Board as Chairman for Market Intelligence NANO Nuclear Energy Inc. NANO Nuclear Energy Inc. Figure 1 – NANO Nuclear Energy Inc. Appoints Fromer District Attorney and Congressman Daniel M. Donovan Jr. as its Chairman of the Executive Advisory Board for Market Intelligence. Pros and Cons of Board Former member of House Homeland Security Committee member brings important expertise and contacts to NANO Nuclear New York, N.Y., Aug. 14, 2024 (GLOBE NEWSWIRE) — NANO Nuclear Energy Inc. (NASDAQ: NNE) (“NANO Nuclear”), a vertically integrated advanced nuclear energy and…
Ethical Considerations in BI Business Intelligence vs. Competitive Intelligence: What’s the Difference? Business Intelligence vs. Competitive Intelligence: An Overview Competitive intelligence is the act of understanding a company’s industry and industry rivals so the company can make better business decisions. Business intelligence refers to the tools, software, and systems that play a vital role in the strategic planning process of a company. Key Takeaways Competitive intelligence is the outward-focused analysis of a business’s competitors to identify advantages and potential strategies.In contrast, business intelligence is the inward-focused evaluation of the business’s own data, which can help improve efficiency and growth.Combining both business and competitive intelligence…
What is the difference between reporting and… Threat actors leverage cybersecurity gaps from M&A – new report Threat actors leverage cybersecurity gaps from M&A – new report | Insurance Business America Insurance News Threat actors leverage cybersecurity gaps from M&A – new report Reliance on software vendors brings new vulnerabilities Insurance News By Grant Funtila Threat actors have evolved their tactics in 2024 to exploit business and technology consolidation. According to Resilience’s mid-year 2024 cyber risk report, the surge in mergers and acquisitions (M&A) and the increasing reliance on major software vendors has provided new opportunities for threat actors. Business Intelligence Reports - MyMotionCalendar The report released…
Magic Quadrant for Analytics & Business Intelligence… Gartner says everyday AI and digital employee experience are two years away from mainstream adoption ERROR: The request could not be satisfied Request blocked. We can’t connect to the server for this app or website at this time. There might be too much traffic or a configuration error. Try again later, or contact the app or website owner. If you provide content to customers through CloudFront, you can find steps to troubleshoot and help prevent this error by reviewing the CloudFront documentation. Generated by cloudfront (CloudFront) Request ID: GFd0flXaeUjYUvECGjo3GIRU7HEI9EgAwOe2IsvR7iPvJ1p9qTAa3A== Gartner says everyday AI and digital employee experience are two years…
AT&T powers IoT for Oracle enterprise communications AT&T powers IoT for Oracle enterprise communications Enabling its industry cloud application customers to connect and manage their internet of things (IoT) devices on the comms provider’s network through a single platform, Oracle announced that it is incorporating AT&T IoT connectivity and network APIs into its Enterprise Communications Platform (ECP). Oracle sees the move as potentially positively affecting the future of 5G network deployments and applications through “seamless” IoT integration and enhanced communication capabilities, representing a “crucial” next step toward bringing real-time communications to its suite of cloud applications. Supported by AT&T, ECP is now delivering IoT connectivity and near real-time communications to Oracle’s suite of industry cloud applications.…
How Business Intelligence in ERP Can Improve Your Company Go Business Intelligence and Analytics Fusion Introduces New AI-Powered Scenario Simulation and Intelligence Suite Fusion Risk Management (Fusion), a provider of cloud-based operational resilience, business continuity, and risk management solutions, is releasing its new Scenario Simulation and Intelligence suite—enabling companies to simulate thousands of possible scenarios against their resilience plans and strategies to identify points of weakness at scale. Posted August 14, 2024 Ridge Security Enhances Proactive Exposure Management with RidgeBot 4.3.3 Ridge Security Technology Inc. is releasing RidgeBot version 4.3.3, introducing a powerful integration that enhances proactive exposure management for organizations—combining RidgeBot’s automated vulnerability detection and validation capabilities with leading…
Business Intelligence and Analytics Fusion… Business Intelligence and Analytics Fusion Introduces New AI-Powered Scenario Simulation and Intelligence Suite Fusion Risk Management (Fusion), a provider of cloud-based operational resilience, business continuity, and risk management solutions, is releasing its new Scenario Simulation and Intelligence suite—enabling companies to simulate thousands of possible scenarios against their resilience plans and strategies to identify points of weakness at scale. Posted August 14, 2024 Ridge Security Enhances Proactive Exposure Management with RidgeBot 4.3.3 Ridge Security Technology Inc. is releasing RidgeBot version 4.3.3, introducing a powerful integration that enhances proactive exposure management for organizations—combining RidgeBot’s automated vulnerability detection and validation capabilities with leading…
Artificial Intelligence Stocks: The 10 Best AI Companies Artificial Intelligence Stocks: The 10 Best AI Companies Artificial intelligence, automation and robotics are disrupting virtually every industry. Remarkable advances in AI technology — including OpenAI’s ChatGPT AI chatbot, GitHub’s Copilot AI code generation software and Google’s Gemini AI model — are now familiar names for many. [Sign up for stock news with our Invested newsletter.] Whether it be machine learning, large language models, smart applications and appliances, digital assistants, synthetic media software, or autonomous vehicles, companies that aren’t investing in AI products and services risk becoming obsolete. Countless companies stand to benefit from AI, but a handful of stocks…
SEALSQ Unveils Revolutionary Artificial Intelligence… SEALSQ Unveils Revolutionary Artificial Intelligence for Internet of Things (AIoT) Strategy, Pioneering the Future of Connected Intelligence Geneva, Switzerland, Aug. 14, 2024 (GLOBE NEWSWIRE) — SEALSQ Corp (NASDAQ: LAES) (“SEALSQ” or “Company”), a company that focuses on developing and selling Semiconductors, PKI and Post-Quantum technology hardware and software products, announces its bold entry into the AI chip market, underscored by its visionary AIoT (Artificial Intelligence for Internet of Things) strategy, which seamlessly merges the power of AI with the expansive potential of IoT technologies. This move positions SEALSQ at the cutting edge of technological innovation, where the convergence of AI…
Microsoft announces Power BI Premium Microsoft announces Power BI Premium Microsoft is expanding its business analytics and intelligence portfolio with the announcement of Power BI Premium. Power BI Premium is an extension of the company’s Power BI solution that provides improved performance for larger data volumes. “Power BI was first made generally available in July 2015. Since then, Microsoft’s driving vision for Power BI has been to enable users across roles, disciplines and industries to sign up for the service in seconds and get business value by drawing insights from their data within minutes,” Kamal Hathi, general manager at Microsoft, wrote in a post. “Power…
Why enterprise CIOs need to plan for Microsoft gen AI Why enterprise CIOs need to plan for Microsoft gen AI Enterprises with strong experience in open source may look to open foundation models as an option to reduce costs, but Curran cautions against equating open weight models with the more familiar open source ecosystem. He predicts enterprises will adopt them though, including using them in curated environments provided like Azure. “I’ve seen a lot of interest in the open source models, but not many in production,” says Boyd, although customers are starting to use small models like Microsoft’s own Phi series. “But it’s largely early days. I haven’t seen mass…
Mastering Data Scraping from Google Maps: A… Mastering Data Scraping from Google Maps: A Comprehensive Guide Share Share Business intelligence: A complete overview Tableau Share Email What is Business Intelligence? Tableau Introduction In the digital age, data is a crucial asset for businesses. It provides insights that drive decision-making and strategy. One powerful method to gather data is through data scraping, particularly from Google Maps, which is a rich repository of business information. This guide aims to help you master data scraping from Google Maps, providing valuable insights for your business intelligence efforts. Understanding Data Scraping Data scraping, also known as web scraping, involves…
Global Edge Data Center Market Predicted to Cross… Business Intelligence and Analytics Fusion Introduces New AI-Powered Scenario Simulation and Intelligence Suite Fusion Risk Management (Fusion), a provider of cloud-based operational resilience, business continuity, and risk management solutions, is releasing its new Scenario Simulation and Intelligence suite—enabling companies to simulate thousands of possible scenarios against their resilience plans and strategies to identify points of weakness at scale. Posted August 14, 2024 Ridge Security Enhances Proactive Exposure Management with RidgeBot 4.3.3 Ridge Security Technology Inc. is releasing RidgeBot version 4.3.3, introducing a powerful integration that enhances proactive exposure management for organizations—combining RidgeBot’s automated vulnerability detection and validation capabilities with leading…
Oracle Business Intelligence (BI) Platform Transforming Your Organization with the Power of Business Intelligence Share Share Oracle Business Intelligence (BI) Platform – BI / DW Insider Share Email Hyperion Solutions - Wikipedia With the ability to drive strategic initiatives, make educated decisions and extract valuable insights from raw data, business intelligence (BI) has become a key enabler for organizational success. BI has revolutionized the way businesses operate and plan for the future in this age of intense competition and rapid technological advancement. One of the most powerful business intelligence tools available, Intellicus has provided tailored solutions to over 17,000 small and…
Why Business Intelligence (BI) Is A Must-Have Tool for Every Should Central Maine Power go “dark” to the regulators? A proposed financial reorganization of Central Maine Power (CMP), the state’s dominant electric company, is generating fierce consumer opposition at the Maine Public Utilities Commission. Augusta-based Avangrid (NYSE:AGR), CMP’s owner since 2015, is 81.6% owned by Spanish energy conglomerate Iberdrola, which wants the state regulators to rubber stamp a deal where Iberdrola would acquire the remaining 18.4% of Avangrid for $2.5 billion. Iberdrola said, “The objective of this transaction is to increase exposure to the networks business in the United States at a key moment for Iberdrola, which wants to grow in markets with strong credit…
Healthcare Business Intelligence Market Size to… Healthcare Business Intelligence Market Size to Reach USD 27.63 Billion By 2032, With a Growing CAGR of 14% | Research by SNS Insider SNS Insider pvt ltd The rise in electronic health records (EHRs) and the integration of big data analytics in healthcare have further propelled the adoption of BI solutions. Pune, Aug. 14, 2024 (GLOBE NEWSWIRE) — Healthcare Business Intelligence Market Size & Share: Mastering Business Intelligence: Comprehensive Guide to Concepts “According to SNS Insider Research, The Healthcare Business Intelligence (BI) Market Size was valued at US$ 9.0 Billion in 2023 and is expected to reach US$ 27.63 Billion…
usiness Intelligence for E-commerce KeyPoint For… True luxury is IRL E-commerce is great for a lot of things — snagging sales, stocking up on staples, buying stupid stuff we really do not need. But people’s voracious appetite for online shopping does appear to have its limits, specifically when it comes to luxury. The expectation has long been that e-commerce would revolutionize luxury, just as it has so much of retail. It killed many malls and bookstores; it made Walmart go digital; it transformed shipment and logistics operations across the globe. So why wouldn’t it disrupt such an expensive, lucrative space? It turns out we still like…
54 Predictions About The State Of Data In 2021 54 Predictions About The State Of Data In 2021 From 2010 to 2020, the amount of data created, captured, copied, and consumed in the world increased from 1.2 trillion gigabytes to 59 trillion gigabytes, an almost 5,000% growth. What will data do in the coming decade? Happy New Year! getty 26 the five-year compound annual growth rate (CAGR) through 2024 of the data created, captured, copied, and consumed in the world; the amount of data created over the next three years will be more than the data created over the past 30 years [IDC] ⦨ Richard van Dijk ⦩ LinkedIn 22 the…
The Future of Business Intelligence Transforming Your Organization with the Power of Business Intelligence Share Share Data Analytics And Business Intelligence Computational Frameworks Share Email Tech trailblazers: How Tokopedia is innovating in Indonesia CIO With the ability to drive strategic initiatives, make educated decisions and extract valuable insights from raw data, business intelligence (BI) has become a key enabler for organizational success. BI has revolutionized the way businesses operate and plan for the future in this age of intense competition and rapid technological advancement. One of the most powerful business intelligence tools available, Intellicus has provided tailored solutions to over 17,000…
Analysts laud SAS’ innovation in AI, marketing, risk… Analysts laud SAS’ innovation in AI, marketing, risk and fraud solutions Investment by SAS drives accolades in multiple reports from top analyst firms CARY, N.C., July 30, 2024 /PRNewswire/ — When choosing new technologies like generative AI (GenAI) or selecting vendors for mission-critical functions like managing risk, improving marketing and customer loyalty, and fighting fraud and financial crimes, organizations often seek the advice of top industry analyst firms. Top industry analyst firms have once again have recognized SAS as a leader in key business and technology areas. Statistical Business Analysis SAS And these top firms once again have recognized SAS…
Snowflake launches Cortex Analyst, an agentic AI… Snowflake launches Cortex Analyst, an agentic AI system for accurate data analytics Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Snowflake is all set to deploy powerful language models for complex data work. Today, the company announced it is launching Cortex Analyst, an all-new agentic AI system for self-service analytics, in public preview. First announced during the company’s data cloud summit in June, Cortex Analyst is a fully managed service that provides businesses with a conversational interface to talk to their data. All the users have to do is…
Microsoft Dynamics vs. Salesforce: Comparison 2024… Microsoft Dynamics vs. Salesforce: Comparison 2024 Salesforce vs. Microsoft Dynamics 365 Overview Salesforce’s Sales Hub and Microsoft Dynamics 365 Sales are similar products that offer most of the CRM features you expect to find in standalone CRM software. We compare these two as the primary CRM offerings from both providers, though other products exist for marketing, customer service and other work management functions. Salesforce is a highly customizable CRM that teams can configure for almost any business need, while Microsoft Dynamics 365 serves as a centralized place for customer data for teams that already use it. Salesforce vs. Microsoft Dynamics…
Business Intelligence and Analytics Fusion… You Won’t Need to Pay for Apple Intelligence Anytime Soon Despite several analyst reports that Apple will eventually charge for access to Apple Intelligence features, it’s unlikely it plans to do so anytime soon. While many, including Mark Gurman, believe that Apple’s focus on growing its services business makes a paid Apple Intelligence tier inevitable, the Bloomberg analyst is also convinced this won’t be coming in the near future — and that it’s unlikely to encompass any of the Apple Intelligence features that are slated to arrive in iOS 18 over the next year. In late June, Gurman suggested an “Apple…
RBC Capital Keeps Their Buy Rating on Jasper… RBC Capital Keeps Their Buy Rating on Jasper Therapeutics (JSPR) In a report released yesterday, Gregory Renza from RBC Capital maintained a Buy rating on Jasper Therapeutics (JSPR – Research Report), with a price target of $68.00. The company’s shares closed yesterday at $18.85. Renza covers the Healthcare sector, focusing on stocks such as Perspective Therapeutics, Pacira Pharmaceuticals, and Viridian Therapeutics. According to TipRanks, Renza has an average return of 13.8% and a 45.27% success rate on recommended stocks. Jasper Therapeutics has an analyst consensus of Strong Buy, with a price target consensus of $72.71, which is a 285.73% upside…
Hidden Apple Intelligence Features Revealed Hidden Apple Intelligence Features Revealed Apple’s latest iOS 18.1 beta 2 update brings a suite of advanced AI-driven features for Apple Intelligence designed to transform your user experience. These hidden gems leverage Apple’s innovative AI technology to automate tasks, enhance communication, and create personalized content, ultimately streamlining your daily interactions with your device. Let’s dive into the details of these innovative features. Smart Reply: Effortless Email and Message Responses The Smart Reply feature in iOS 18.1 takes the hassle out of responding to emails and messages. Intelligently analyzing the content of your incoming communications suggests complete, contextually relevant replies. Whether you receive…
Microsoft Power BI – What Is It and What to Use It… how much it cost to purchase oracle business intelligence enterprise edition 11g?Is Oracle Database Enterprise Edition free? You get a free Oracle Database that you can use in any environment, as well as the ability to embed and distribute it. How much does Oracle Standard Edition cost? Standard Edition 2 (SE2), as well as previous editions Standard Edition and Standard Edition 1, can provide excellent value and cost significantly less than Oracle Enterprise Edition (EE). SE2 is currently listed at $17,500 per socket, compared to Enterprise Edition’s $47,500 per processor. Microsoft Power BI – What Is It and What to…
You Won’t Need to Pay for Apple Intelligence Anytime Soon You Won’t Need to Pay for Apple Intelligence Anytime Soon Despite several analyst reports that Apple will eventually charge for access to Apple Intelligence features, it’s unlikely it plans to do so anytime soon. While many, including Mark Gurman, believe that Apple’s focus on growing its services business makes a paid Apple Intelligence tier inevitable, the Bloomberg analyst is also convinced this won’t be coming in the near future — and that it’s unlikely to encompass any of the Apple Intelligence features that are slated to arrive in iOS 18 over the next year. In late June, Gurman suggested an “Apple…
Microsoft’s cloud business powers 10% growth in… Microsoft’s cloud business powers 10% growth in quarterly profits AP REDMOND, Wash. (AP) — Microsoft reported a 10% increase in quarterly profits Tuesday as it tries to maintain its position as a leader in artificial intelligence technology. The software giant said its fiscal fourth-quarter profit was $22 billion, or $2.95 per share, slightly beating analyst expectations for $2.94 per share. reasons to use Microsoft Power BI Stitch It posted revenue of $64.7 billion in the April-June period, up 15% from last year. Analysts polled by FactSet Research had been looking for revenue of $64.4 billion. Microsoft’s growth was led by…
Power BI vs Tableau: Which is The Better BI Tool Salesforce unit Tableau to exit former headquarters in Seattle Tableau will give up its former headquarters in north Seattle, abandoning more than 110,000 square feet of offices by Lake Union. The data analytics software firm owned by San Francisco-based Salesforce will not renew its lease at the Fremont Lake Union Center at 837 North 34th Street, in Fremont, the Seattle Times reported. The lease expires at the end of this month. Salesforce, a cloud-based sales software company, bought Tableau in 2019 for $15.7 billion. Ryan Aytay, CEO for Tableau, is based in San Francisco. Power BI vs Tableau: Which is…
PowerDMARC Integrates with SecLytics for Advanced… PowerDMARC Integrates with SecLytics for Advanced Predictive Threat Intelligence Analysis PowerDMARC Provides Clients and Partners with Advanced Predictive Threat Intelligence Analysis through integration with SecLytics. Middletown, Delaware, United States – August 14, 2024 — PowerDMARC, a leader in AI-powered email authentication and domain security solutions, is excited to announce its integration with SecLytics, a pioneering cybersecurity company known for its expertise in predictive threat intelligence. The integration enhances PowerDMARC’s platform, offering users advanced detection and predictions on existing and emerging cyber threats. Business Intelligence Companies to Watch Out for in Predictive threat intelligence analysis is a game-changer in cybersecurity, enabling…
The Microsoft Dynamics 365 CRM is excellent Microsoft Dynamics vs. Salesforce: Comparison 2024 Salesforce vs. Microsoft Dynamics 365 Overview Salesforce’s Sales Hub and Microsoft Dynamics 365 Sales are similar products that offer most of the CRM features you expect to find in standalone CRM software. We compare these two as the primary CRM offerings from both providers, though other products exist for marketing, customer service and other work management functions. Salesforce is a highly customizable CRM that teams can configure for almost any business need, while Microsoft Dynamics 365 serves as a centralized place for customer data for teams that already use it. Salesforce vs. Microsoft Dynamics…
Google Business Profile - The Evolution of Google My… 6 ways the Google antitrust ruling could change the internet State Zip Code Country News Google Provides First Look at Plans for Chicago's Thompson Peep This List Of Financial Resources For Black Business Owners And Entrepreneurs by Derek Major August 13, 2024 For Black Business Month, Black Enterprise has compiled a list of financial resources that will help Black entrepreneurs. Black-owned businesses have been thriving this year. Whether it’s retail, hair and beauty, food, or liquor, there are more Black entrepreneurs than ever, and many are becoming successful businessmen and women. Despite the news, many Black entrepreneurs struggle to find…
Business Intelligence Improved Decision Making How AI Can Power Brand Management Marketers have begun experimenting with AI to improve their brand-management efforts. But unlike other marketing tasks, brand management involves more than just repeatedly executing one specialized function. Long considered the exclusive domain of creative talent, it encompasses multiple activities designed to build the reputation and image of a business—such as crafting and communicating the brand story, ensuring that the product or service and its price reflect the brand’s competitive positioning, and managing customer relationships to forge loyalty to the brand. A brand is a promise to customers about the quality, style, reliability, and aspiration…
Common Mistakes to Avoid When Hiring a Power BI Developer Common Mistakes to Avoid When Hiring a Power BI Developer Businesses depend intensely on information analytics to make informed decisions, and Power BI has risen as a prevalent tool for turning raw data into significant insights. Hiring a Power BI engineer is a crucial choice that can altogether affect your organization’s victory. In any case, companies frequently make a few mistakes when hiring Control BI engineers that can lead to project delays, destitute results, and unnecessary costs. Here are five common mistakes businesses make when hiring Power BI developers and we offer significant tips to avoid them. Common mistakes when…
Microsoft Power BI: A Powerful Cloud Based Business… Free Business Email: 7 Legit Ways to Get Free Addresses All businesses need branded email addresses, and small businesses and startups often need it to be as cheap as possible. To help, we rounded up the best legitimate ways to get a free business email address. All are secure and credible for professional use. Some are completely free, while others include free email accounts with products like domains, web hosting, and office software. Best free business email addresses: Zoho Mail Best for Gmail business email: Google Workspace Best for a free email address with cheap domain purchase: IONOS Best website…
Business Intelligence Platforms: Best Analytics & BI… How Women Business Owners Are Using Artificial Intelligence Written by Lesa Seibert, NAWBO National Board Secretary, member of NAWBO Kentucky and CEO of Mightily The intersection of artificial intelligence and public policy has been at the forefront this past year since President Biden issued an executive order on AI that provides entrepreneurs with access to technical assistance and resources, among other things. Senate Majority Leader Chuck Schumer followed up the executive order with a series of AI Insight Forums to discuss the intersection of AI and innovation, workforce and intellectual property issues. As the governance of AI continues to take…
How to create Excel dashboards with Claude 3 AI in minutes How to create Excel dashboards with Claude 3 AI in minutes If you are looking for a fast and efficient way to create Excel dashboards to present your data in presentations or reports. You might be interested to know that you can use the power of Claude 3 AI to help create these Excel interactive dashboards just a few minutes. Saving you hours of time which can be spent more wisely. Creating interactive dashboards has become an essential skill and by using Claude 3 AI, a powerful artificial intelligence tool, this process has been streamlined and simplified. This guide created…
Oracle 23ai: The Database Just Got a Brain Oracle 23ai: The Database Just Got a Brain The database world is undergoing a renaissance. Fueled by the rise of Large Language Models, hybrid cloud data management, and the explosion of data-driven applications, databases are once again at the forefront of technological innovation. Yet, this resurgence comes at a time of unprecedented challenges. The relentless onslaught of data and the ever-present threat of cyberattacks have stretched database professionals to their limits. Oracle, a behemoth in the database landscape, has responded with a daring gambit: Oracle Database 23ai. This isn’t merely an update; it’s a full-blown integration of AI and machine…
Salesforce vs. Microsoft Dynamics 365 Overview Microsoft Dynamics vs. Salesforce: Comparison 2024 Salesforce vs. Microsoft Dynamics 365 Overview Salesforce’s Sales Hub and Microsoft Dynamics 365 Sales are similar products that offer most of the CRM features you expect to find in standalone CRM software. We compare these two as the primary CRM offerings from both providers, though other products exist for marketing, customer service and other work management functions. Salesforce is a highly customizable CRM that teams can configure for almost any business need, while Microsoft Dynamics 365 serves as a centralized place for customer data for teams that already use it. Salesforce vs. Microsoft Dynamics…
Embed a Power BI Report Server report using an iFrame in Transforming Your Organization with the Power of Business Intelligence Share Share Power BI - Data Visualization Microsoft Power Platform Share Email Embed a Power BI Report Server report using an iFrame in With the ability to drive strategic initiatives, make educated decisions and extract valuable insights from raw data, business intelligence (BI) has become a key enabler for organizational success. BI has revolutionized the way businesses operate and plan for the future in this age of intense competition and rapid technological advancement. One of the most powerful business intelligence tools available, Intellicus has provided tailored solutions…
Meta scraps celebrity AI chatbots after less than a year Artificial Intelligence Tech 2024-08-13T18:31:05Z Replika lets you buy an AI girlfriend or boyfriend — and its average user age is surprising Replika CEO Eugenia Kuyda said the app’s users are “mostly 35-plus and super engaged.” Some people have formed deep bonds with their AI companions. Tech 2024-08-13T13:40:11Z AI and security concerns fuel a shift to on-premises IT infrastructure as companies seek more control of data AI, data privacy, and security concerns are pushing companies to adopt hybrid IT infrastructure that combines on-prem hardware with cloud services. Business Intelligence PowerPoint Template PPT Templates The US and some of its allies just…
Snowflake launches Cortex Analyst, an agentic AI… Snowflake launches Cortex Analyst, an agentic AI system for accurate data analytics Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Snowflake is all set to deploy powerful language models for complex data work. Today, the company announced it is launching Cortex Analyst, an all-new agentic AI system for self-service analytics, in public preview. First announced during the company’s data cloud summit in June, Cortex Analyst is a fully managed service that provides businesses with a conversational interface to talk to their data. All the users have to do is…
Combine Microsoft and Power BI Microsoft Power BI Free Business Email: 7 Legit Ways to Get Free Addresses All businesses need branded email addresses, and small businesses and startups often need it to be as cheap as possible. To help, we rounded up the best legitimate ways to get a free business email address. All are secure and credible for professional use. Some are completely free, while others include free email accounts with products like domains, web hosting, and office software. Best free business email addresses: Zoho Mail Best for Gmail business email: Google Workspace Best for a free email address with cheap domain purchase: IONOS Best website…
Qlik Sense Business Analyst Certification - Credly Exciting New Partnership: Optimum and Qlik Join Forces to Transform Data Analytics for Clients With Seamless Data Integration and Cutting-Edge Visualization, This Partnership Will Drive Business Growth and Empower Data-Driven Decisions for Businesses of All Sizes HOUSTON, TX / ACCESSWIRE / August 8, 2024 / Optimum Consultancy Services, a leader in IT consulting that specializes in data, business intelligence (BI), and artificial intelligence (AI) solutions, is thrilled to announce a new strategic partnership with Qlik®, a renowned leader in data integration and data analytics solutions. This partnership is set to transform the way businesses leverage data for strategic decision-making. Through…
Artificial Intelligence Tech 2024 Artificial Intelligence Tech 2024-08-13T18:31:05Z Replika lets you buy an AI girlfriend or boyfriend — and its average user age is surprising Replika CEO Eugenia Kuyda said the app’s users are “mostly 35-plus and super engaged.” Some people have formed deep bonds with their AI companions. Tech 2024-08-13T13:40:11Z AI and security concerns fuel a shift to on-premises IT infrastructure as companies seek more control of data AI, data privacy, and security concerns are pushing companies to adopt hybrid IT infrastructure that combines on-prem hardware with cloud services. The best business intelligence (BI) software in Zapier The US and some of its…
Qlik Introduces Qlik Answers to Transform… Qlik Introduces Qlik Answers to Transform Unstructured Data into Business Insights PHILADELPHIA, July 30, 2024 — Qlik, a global leader in data integration, analytics, and artificial intelligence (AI), today announced the general availability of Qlik Answers, its newest self-service AI solution designed to help organizations harness the power of AI by removing the risk, embracing the complexity, and scaling the impact of AI. Qlik Answers transforms unstructured data into actionable results through generative AI, offering full explainability—a common obstacle in enterprise AI adoption. Qlik Answers combines generative AI with Qlik’s trusted data analytics capabilities to deliver precise, contextually relevant results…
op Business Intelligence and Analytics Tools Organizations ‘Justice Intelligence’ Startup Darrow Expands Plaintiff-Finding Service to Mass Arbitrations On Wednesday, New York and Tel Aviv-based legal tech startup Darrow announced the addition of mass arbitration to its PlaintiffLink service. Publicly launched in February 2024, PlaintiffLink helps firms connect with and review potential plaintiffs for cases. The development and expansion of PlaintiffLink was likely supported in part by the startup’s $35 million Series B funding round, which it announced in September 2023. Marketing itself as a justice intelligence platform, Darrow essentially looks to be a business development tool for litigation teams. Some of its offerings use generative AI to analyze…
Pentaho Adaptive Big Data LayerPentaho Business Analytics Pentaho furthers innovation in Big Data integration and launches Pentaho Labs Delivering the future of analytics, Pentaho Corporation today introduced a new adaptive big data layer in its platform that accelerates access and integration to the latest versions and capabilities of popular big data stores. It also announced a “think tank” called Pentaho Labs for innovating breakthrough big data-driven technologies in areas such as predictive and real-time analytics. The Pentaho adaptive big data layer supports Hadoop distributions from Cloudera, Hortonworks, MapR and Intel, as well as popular NoSQL databases Cassandra and MongoDB, and introduces support for Splunk. With Pentaho, data…
Finance’s biggest firms are considering how AI might… Artificial Intelligence Tech 2024-08-13T18:31:05Z Replika lets you buy an AI girlfriend or boyfriend — and its average user age is surprising Replika CEO Eugenia Kuyda said the app’s users are “mostly 35-plus and super engaged.” Some people have formed deep bonds with their AI companions. Tech 2024-08-13T13:40:11Z AI and security concerns fuel a shift to on-premises IT infrastructure as companies seek more control of data AI, data privacy, and security concerns are pushing companies to adopt hybrid IT infrastructure that combines on-prem hardware with cloud services. TARGIT - BI Survey The US and some of its allies just pulled off…
Can AI even be open source? It’s complicated Can AI even be open source? It’s complicated zf L/Getty Images Without open source, there is no artificial intelligence (AI). Period. End of statement. It’s not just that AI’s early roots spring from the 1960s’ open language Lisp; the headline AI generative models, such as ChatGPT, Llama 2, and DALL-E, are built on solid, open-source foundations. However, those models and programs themselves are not open source. Also: AI scientist: ‘We need to think outside the large language model box’ Best Free and Open Business Intelligence Tools CIO Women Magazine Oh, I know that when Meta CEO Mark Zuckerberg unveiled Llama …
software business intelligence SAP SAP Unveils On-Demand Business Intelligence Toolset software business intelligence SAP SAP, which acquired Business Objects in early 2008, already offers hosted versions of its business intelligence tools. But the new software is SAP’s first real multi-tenant, Software-as-a-Service business intelligence application, said James Thomas, vice president of product management for SAP business intelligence tools. SAP BusinessObjects BI OnDemand ties together the vendor’s business intelligence software portfolio into a SaaS package using the BusinessObjects Explorer tool for searching and visualizing large data sets. Thomas said companies that deploy the service could expand the number of employees, particularly those in customer-facing jobs, who…
Black Books That Will Get Your Head Right During… Black Books That Will Get Your Head Right During Black Business Month Looking to learn more about business and how to successfully operate? Well, look no further BLACK ENTERPRISE selected 9 business books Originally Published Aug. 19, 2023. Looking to learn more about business and how to successfully operate? Well, look no further. BLACK ENTERPRISE has selected nine business books that go beyond scratching the surface. Real talk: this is required reading. These Black authors do a deep dive into the world of business, sharing strategies, successful blueprints, and business models to educate about emerging and established entrepreneurs and business owners.…
