Magic Quadrant for Analytics & Business Intelligence Platforms
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 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. 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Generated by cloudfront (CloudFront) Request ID: X2GGnM4929ClwN9gE5j2kOuoavTJ8Q6hwm2eRglK_iCjme_wamwAwQ== Everyday AI, Digital Employee Experience Only Two Years Away From Mainstream Adoption: Gartner Everyday artificial intelligence and digital employee experiences are projected to reach mainstream adoption in less than two years, according to research and consulting firm Gartner Inc. Everyday AI has the potential to remove digital friction by helping employees write, research, collaborate and ideate. It is an important part of DEX, which seeks to remove digital friction and improve workforce digital dexterity. According to Gartner, 2024 has been a critical year for digital workplace application leaders, as the focus on hybrid and remote work dwindles and the need for a strategic concentration on everyday AI rises. Everyday AI is placed on the peak of inflated expectations on the Gartner Hype Cycle for Digital Workplace Applications, 2024. Magic Quadrant for Analytics & Business Intelligence Platforms Everyday AI Can Enhance Workforce Productivity “Everyday AI technology aims to help employees deliver work with speed, comprehensiveness and confidence. It supports a new way of working, where intelligent software is acting as more of a collaborator than a tool,” said Adam Preset, vice-president and analyst at Gartner. As technology vendors seek ways to improve productivity among workers, beyond traditional applications and feature enhancements, they can look towards everyday AI. It can provide tools to help workers find and synthesise relevant information, answer questions and produce work artifacts more easily. “Everyday AI will become more sophisticated, moving from services that, for example, can sort and summarise chats and email messages to services that can write a report with minimal guidance,” said Preset. Power BI and Gartner&#;s “Magic Quadrant” Emphasis On Organisations To Have A DEX Strategy With employees spending more time working with technology, the workforce is becoming digital. Because of this, organisations must have a strategy to measure and improve DEX to attract and retain talent. As business leaders look at how technology can help boost productivity and organisational alignment, DEX emphasises best practices that can improve digital dexterity, attract and retain talent, and help employees deliver against business outcomes. According to Gartner, to increase the appeal and relevance around DEX, business leaders should take a holistic approach across IT and non-IT partners to build an environment that empowers employees to adopt new ways of working. Gartner’s Magic Quadrant Power BI One-third of generative AI projects will be abandoned by 2025, Gartner says At least 30% of generative AI (GenAI) projects will be abandoned after proof of concept by the end of 2025, due to poor data quality, inadequate risk controls, escalating costs, or unclear business value, according to a report from Gartner Inc. “After last year’s hype, executives are impatient to see returns on GenAI investments, yet organizations are struggling to prove and realize value. As the scope of initiatives widen, the financial burden of developing and deploying GenAI models is increasingly felt,” Rita Sallam, Distinguished VP Analyst at Gartner, said in a release. In addition, many organizations struggle to justify the substantial investment in GenAI for productivity enhancement, which can be difficult to directly translate into financial benefit. That means that GenAI projects require a higher tolerance for indirect, future financial investment criteria versus immediate return on investment (ROI). And historically, many CFOs have not been comfortable with investing today for indirect value in the future, the report found. “Unfortunately, there is no one size fits all with GenAI, and costs aren’t as predictable as other technologies,” Sallam said. “What you spend, the use cases you invest in and the deployment approaches you take, all determine the costs. Whether you’re a market disruptor and want to infuse AI everywhere, or you have a more conservative focus on productivity gains or extending existing processes, each has different levels of cost, risk, variability and strategic impact.” Despite those challenges, some earlier adopters are reporting a range of business improvements. In a recent Gartner survey, respondents reported 15.8% revenue increase, 15.2% cost savings and 22.6% productivity improvement on average. The survey of 822 business leaders was conducted between September and November 2023. EdgeTI Recognized in the Gartner Hype Cycle for ERP, 2024 Report Explains How and When Digital Twins Advance ERP Goals and Benefits Arlington, Virginia–(Newsfile Corp. – August 14, 2024) – Edge Total Intelligence Inc. (TSXV: CTRL) (OTC Pink: UNFYF) (FSE: Q5I) (“edgeTI”, “Company”), a leading provider of real-time digital twin software, announces the Company has been recognized as a Sample Vendor for the first time in the latest Gartner® Hype Cycle™ for …