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 can be accessed once then processed, combined and consumed anywhere. These new Pentaho big data innovations bring greater flexibility, insulation from change and increased competitive advantage to companies facing the relentless evolution of the big data ecosystem.
According to Richard Daley, founder and chief strategy officer at Pentaho, “The relatively breakneck speed at which big data analytics technology evolves as compared to the relational world is paralyzing many companies. The innovations we’re announcing today overcome this paralysis and allow companies to keep their big data technology options open, reduce risk and save considerable development time while taking advantage of the latest innovations in popular Big Data stores.”
PivotJ – PivotJ – Pentaho BI Plugin
Pentaho Adaptive Big Data LayerPentaho Business Analytics can literally plug into leading edge big data technologies with an advanced adaptive big data layer that supports the latest versions of Hadoop distributions, NoSQL databases and specialized big data stores. New capabilities include:• Hadoop distributions: Pentaho’s new adaptive big data layer supports the following Hadoop distributions: Cloudera CDH 4.1.2, 4.1.3, 4.2.0, 4.2.1; Intel’s IDH 2.3; Horton’s HDP 1.2.x and MapR 2.0.x and 2.1.x.• NoSQL databases: Pentaho also delivers support for the latest features in MongoDB and Cassandra.• Splunk: Machine data is one of the fastest growing and most pervasive segments of big data. Pentaho’s new Splunk adapter allows reading and writing data to Splunk. New Pentaho LabsPentaho Labs, led by Richard Daley, is staffed with top industry experts and a renowned data scientist to incubate breakthrough advanced analytic capabilities driven by big data. Pentaho Labs encourages seeding of new approaches and technologies that can over time be merged into the Pentaho roadmap based on market demand. According to Krishna Roy, BI and Analytics Analyst at 451 Research, “We are talking to many companies who are very interested in big data analytics, but lack the knowledge, skills and resources to keep up with the rapid pace of change in the ecosystem or even get started. Pentaho recognizes this and today’s announcements help lower the barriers to entry and accelerate innovation.
Cybersecurity Industry Leaders Launch the Cyber Threat Intelligence Capability Maturity Model
PRESS RELEASE
WILMINGTON, Del.–(BUSINESS WIRE) — Today, Intel 471, the premier provider of cyber intelligence-driven solutions worldwide, sponsored a partnership of 28 industry leaders serving public and private organizations across the vendor and consumer community. Together, these professionals volunteered their time, effort, and experience to launch the first version of the Cyber Threat Intelligence Capability Maturity Model (CTI-CMM), designed as the first-of-its kind vendor agnostic and universally applicable resource to support organizations of all shapes and sizes across the CTI industry. In today’s evolving threat landscape, the sign of a successful Cyber Threat Intelligence (CTI) program is a mature program that seamlessly integrates with an organization’s core objectives and key outcomes.
“Unlocking the full potential of your CTI program requires alignment with the capabilities of each stakeholder it supports, and a tangible measurement of success synchronized with organizational priorities,” said Michael DeBolt, Chief Intelligence Officer at Intel 471. “The CTI Capability Maturity Model (CTI-CMM) is designed to support CTI teams in building their capabilities by aligning to defined practices for stakeholder business domains unique to each organization. The Model establishes shared values and principles across the industry to empower organizations to take a holistic approach to cyber threat intelligence with stakeholders in mind.”
“Advising numerous clients globally, I have observed a consistent need for an outcome-focused model for cyber intelligence programs. The CTI-CMM bridges the gap to help CTI programs create impactful and demonstrable value for their organization,” said Colin Connor, CTI Services Manager at IBM X-Force.
The all-volunteer team behind the CTI-CMM is comprised of professionals representing a wide range of sectors, geographic regions, backgrounds and experiences, including leaders from Intel 471, IBM, Kroger, Venation, Mandiant, IntL8, Regfast, Trellix, Autodesk, Centre for Cybersecurity Belgium (CCB), Northwave Cyber Security, Workday, Marsh McLennan, Signify, Tidal Cyber, DeepSeas, BP, Gojek, SAND and many more. These individuals created CTI-CMM to elevate cyber threat intelligence across the industry through knowledge and experiences. Together, they defined the following values and principles to support the CTI community moving forward:
Shared Values
Intelligence provides value through collaboration with our stakeholders and supporting their decision-making process.
Intelligence is never completed. Improvement is continuous. This also applies to adoption. Constant improvement is crucial for success and distinguishing from other models which failed to keep up with the time.
Intelligence is not proprietary, nor is it prescriptive. Therefore, the model should never be claimed by a single commercial party.
Shared Principles
Contextualizing threat intelligence within risk
Continuous self-assessment and improvement
Actionable intelligence based on stakeholder needs
Quantitative and qualitative measurement of intelligence
Collaborative and iterative intelligence processes
This team made the decision to design the CTI-CMM to align with industry best practices and the concepts and format of a recognized cybersecurity maturity model, the Cybersecurity Capability Maturity Model (C2M2). Similar to the C2M2, the CTI-CMM is organized into ten domains. Each domain includes a “Domain Purpose” followed by a “CTI Mission” description describing how the CTI function supports it and consists of the CTI Use Cases and CTI Data Sources.
The CTI-CMM is the blueprint for a successful and effective CTI program. It exists to support the people who make decisions and take action to protect organizations. For more information, please visit: https://cti-cmm.org/
About Intel 471
Intel 471 empowers enterprises, government agencies, and other organizations to win the cybersecurity war using the real-time insights about adversaries, their relationships, threat patterns, and imminent attacks relevant to their businesses. The company’s platform collects, interprets, structures, and validates human-led, automation-enhanced intelligence, which fuels our external attack surface and advanced behavioral threat hunting solutions. Customers utilize this operationalized intelligence to drive a proactive response to neutralize threats and mitigate risk. Organizations across the globe leverage Intel 471’s world-class intelligence, our trusted practitioner engagement and enablement and globally dispersed ground expertise as their frontline guardian against the ever-evolving landscape of cyber threats to fight the adversary — and win. Learn more at https://intel471.com/.
Cybersecurity Industry Leaders Launch the Cyber Threat Intelligence Capability Maturity Model
PRESS RELEASE
WILMINGTON, Del.–(BUSINESS WIRE) — Today, Intel 471, the premier provider of cyber intelligence-driven solutions worldwide, sponsored a partnership of 28 industry leaders serving public and private organizations across the vendor and consumer community. Together, these professionals volunteered their time, effort, and experience to launch the first version of the Cyber Threat Intelligence Capability Maturity Model (CTI-CMM), designed as the first-of-its kind vendor agnostic and universally applicable resource to support organizations of all shapes and sizes across the CTI industry. In today’s evolving threat landscape, the sign of a successful Cyber Threat Intelligence (CTI) program is a mature program that seamlessly integrates with an organization’s core objectives and key outcomes.
“Unlocking the full potential of your CTI program requires alignment with the capabilities of each stakeholder it supports, and a tangible measurement of success synchronized with organizational priorities,” said Michael DeBolt, Chief Intelligence Officer at Intel 471. “The CTI Capability Maturity Model (CTI-CMM) is designed to support CTI teams in building their capabilities by aligning to defined practices for stakeholder business domains unique to each organization. The Model establishes shared values and principles across the industry to empower organizations to take a holistic approach to cyber threat intelligence with stakeholders in mind.”
“Advising numerous clients globally, I have observed a consistent need for an outcome-focused model for cyber intelligence programs. The CTI-CMM bridges the gap to help CTI programs create impactful and demonstrable value for their organization,” said Colin Connor, CTI Services Manager at IBM X-Force.
The all-volunteer team behind the CTI-CMM is comprised of professionals representing a wide range of sectors, geographic regions, backgrounds and experiences, including leaders from Intel 471, IBM, Kroger, Venation, Mandiant, IntL8, Regfast, Trellix, Autodesk, Centre for Cybersecurity Belgium (CCB), Northwave Cyber Security, Workday, Marsh McLennan, Signify, Tidal Cyber, DeepSeas, BP, Gojek, SAND and many more. These individuals created CTI-CMM to elevate cyber threat intelligence across the industry through knowledge and experiences. Together, they defined the following values and principles to support the CTI community moving forward:
Shared Values
Intelligence provides value through collaboration with our stakeholders and supporting their decision-making process.
Intelligence is never completed. Improvement is continuous. This also applies to adoption. Constant improvement is crucial for success and distinguishing from other models which failed to keep up with the time.
Intelligence is not proprietary, nor is it prescriptive. Therefore, the model should never be claimed by a single commercial party.
Shared Principles
Contextualizing threat intelligence within risk
Continuous self-assessment and improvement
Actionable intelligence based on stakeholder needs
Quantitative and qualitative measurement of intelligence
Collaborative and iterative intelligence processes
This team made the decision to design the CTI-CMM to align with industry best practices and the concepts and format of a recognized cybersecurity maturity model, the Cybersecurity Capability Maturity Model (C2M2). Similar to the C2M2, the CTI-CMM is organized into ten domains. Each domain includes a “Domain Purpose” followed by a “CTI Mission” description describing how the CTI function supports it and consists of the CTI Use Cases and CTI Data Sources.
The CTI-CMM is the blueprint for a successful and effective CTI program. It exists to support the people who make decisions and take action to protect organizations. For more information, please visit: https://cti-cmm.org/
About Intel 471
Intel 471 empowers enterprises, government agencies, and other organizations to win the cybersecurity war using the real-time insights about adversaries, their relationships, threat patterns, and imminent attacks relevant to their businesses. The company’s platform collects, interprets, structures, and validates human-led, automation-enhanced intelligence, which fuels our external attack surface and advanced behavioral threat hunting solutions. Customers utilize this operationalized intelligence to drive a proactive response to neutralize threats and mitigate risk. Organizations across the globe leverage Intel 471’s world-class intelligence, our trusted practitioner engagement and enablement and globally dispersed ground expertise as their frontline guardian against the ever-evolving landscape of cyber threats to fight the adversary — and win. Learn more at https://intel471.com/.
Cybersecurity Industry Leaders Launch the Cyber Threat Intelligence Capability Maturity Model
PRESS RELEASE
WILMINGTON, Del.–(BUSINESS WIRE) — Today, Intel 471, the premier provider of cyber intelligence-driven solutions worldwide, sponsored a partnership of 28 industry leaders serving public and private organizations across the vendor and consumer community. Together, these professionals volunteered their time, effort, and experience to launch the first version of the Cyber Threat Intelligence Capability Maturity Model (CTI-CMM), designed as the first-of-its kind vendor agnostic and universally applicable resource to support organizations of all shapes and sizes across the CTI industry. In today’s evolving threat landscape, the sign of a successful Cyber Threat Intelligence (CTI) program is a mature program that seamlessly integrates with an organization’s core objectives and key outcomes.
“Unlocking the full potential of your CTI program requires alignment with the capabilities of each stakeholder it supports, and a tangible measurement of success synchronized with organizational priorities,” said Michael DeBolt, Chief Intelligence Officer at Intel 471. “The CTI Capability Maturity Model (CTI-CMM) is designed to support CTI teams in building their capabilities by aligning to defined practices for stakeholder business domains unique to each organization. The Model establishes shared values and principles across the industry to empower organizations to take a holistic approach to cyber threat intelligence with stakeholders in mind.”
“Advising numerous clients globally, I have observed a consistent need for an outcome-focused model for cyber intelligence programs. The CTI-CMM bridges the gap to help CTI programs create impactful and demonstrable value for their organization,” said Colin Connor, CTI Services Manager at IBM X-Force.
The all-volunteer team behind the CTI-CMM is comprised of professionals representing a wide range of sectors, geographic regions, backgrounds and experiences, including leaders from Intel 471, IBM, Kroger, Venation, Mandiant, IntL8, Regfast, Trellix, Autodesk, Centre for Cybersecurity Belgium (CCB), Northwave Cyber Security, Workday, Marsh McLennan, Signify, Tidal Cyber, DeepSeas, BP, Gojek, SAND and many more. These individuals created CTI-CMM to elevate cyber threat intelligence across the industry through knowledge and experiences. Together, they defined the following values and principles to support the CTI community moving forward:
Shared Values
Intelligence provides value through collaboration with our stakeholders and supporting their decision-making process.
Intelligence is never completed. Improvement is continuous. This also applies to adoption. Constant improvement is crucial for success and distinguishing from other models which failed to keep up with the time.
Intelligence is not proprietary, nor is it prescriptive. Therefore, the model should never be claimed by a single commercial party.
Shared Principles
Contextualizing threat intelligence within risk
Continuous self-assessment and improvement
Actionable intelligence based on stakeholder needs
Quantitative and qualitative measurement of intelligence
Collaborative and iterative intelligence processes
This team made the decision to design the CTI-CMM to align with industry best practices and the concepts and format of a recognized cybersecurity maturity model, the Cybersecurity Capability Maturity Model (C2M2). Similar to the C2M2, the CTI-CMM is organized into ten domains. Each domain includes a “Domain Purpose” followed by a “CTI Mission” description describing how the CTI function supports it and consists of the CTI Use Cases and CTI Data Sources.
The CTI-CMM is the blueprint for a successful and effective CTI program. It exists to support the people who make decisions and take action to protect organizations. For more information, please visit: https://cti-cmm.org/
About Intel 471
Intel 471 empowers enterprises, government agencies, and other organizations to win the cybersecurity war using the real-time insights about adversaries, their relationships, threat patterns, and imminent attacks relevant to their businesses. The company’s platform collects, interprets, structures, and validates human-led, automation-enhanced intelligence, which fuels our external attack surface and advanced behavioral threat hunting solutions. Customers utilize this operationalized intelligence to drive a proactive response to neutralize threats and mitigate risk. Organizations across the globe leverage Intel 471’s world-class intelligence, our trusted practitioner engagement and enablement and globally dispersed ground expertise as their frontline guardian against the ever-evolving landscape of cyber threats to fight the adversary — and win. Learn more at https://intel471.com/.
Part 1 of CRN’s Big Data 100 takes a look at the vendors solution providers should know in the data analytics and business intelligence space.
Analytical Approach
It’s no surprise that in diagrams and visual representations of big data IT systems, data analytics and visualization software are usually at the top of the big data “technology stack.” They are the software tools that business analysts and information workers use to gain understanding and insight from the exponentially growing volumes of data businesses are generating today and to share that knowledge throughout an organization.
Pentaho Software Reviews, Demo & Pricing –
Worldwide sales of business intelligence software are expected to reach $25.73 billion this year, up 8.6 percent from $23.70 billion in 2022, and reach $34.16 billion by 2028, according to market research firm Statista.
“Companies’ needs for data insights, customer analyses, and all kinds of business processes have strongly increased due to digitization and data that is collected online. This development drives the demand for enterprise software, especially business intelligence software,” said a Statista report.
As part of the CRN 2023 Big Data 100, we’ve put together the following list of business analytics software companies—from well-established vendors to those in startup mode—that solution providers should be familiar with.
These vendors offer everything from self-service reporting and data visualization tools for nontechnical managers and business users to high-performance business analysis software needed by data analysts to tackle the most complex business intelligence tasks.
Pentaho Business Analytics .
This week CRN is running the Big Data 100 list in a series of slide shows, organized by technology category, spotlighting vendors of business analytics software, database systems, data warehouse and data lake systems, data management and integration software, data observability tools, and big data systems and cloud platforms.
Some vendors market big data products that span multiple technology categories. They appear in the slideshow for the technology segment in which they are most prominent.
Ahana
Co-Founder and CEO: Steven Mih
Ahana develops Ahana Cloud for Presto, a software-as-a-service data analytics service based on Presto, the open-source SQL query engine used to query data in a range of data sources including database and data lakehouse systems.
Venture-backed Ahana, founded in 2020 and based in San Mateo, Calif., was acquired by IBM earlier this month. With the acquisition IBM joined the Presto Foundation, part of the Linux Foundation.
Alteryx
CEO: Mark Anderson
Alteryx offers its flagship Alteryx Analytics Automation Platform, a unified data analytics and data science automation system, and the Alteryx Analytics Cloud Platform, along with a number of additional business intelligence, machine learning and developer tools.
In February the company unveiled new self-service and enterprise-grade capabilities to the enterprise edition.
Alteryx executives say the Irvine, Calif.-based company has recorded significant momentum in the channel after undertaking a major expansion of its partner program in 2022 as part of a shift to a more partner-centric sales strategy.
AtScale
CEO: Chris Lynch
AtScale develops semantic layer technology for business intelligence that the company says insulates data consumers from the complexity of working with raw data.
The AtScale software creates a business-oriented data model and virtualizes queries for cloud data platforms such as Amazon Redshift, Snowflake, Google Big Query and Databricks without the need for ETL (extract, transform, load) tools or data movement.
This year AtScale, headquartered in Boston, has expanded its connections to the Databricks platform, including the Databricks Lakehouse for Manufacturing, and achieved the Snowflake Ready Technology Valuation for business intelligence solutions. In April the company introduced code-first data modeling capabilities for its semantic layer platform.
CelerData
CEO: James Li
Startup CelerData markets a high-performance unified analytics platform based on the StarRocks massively parallel processing SQL database for real-time analytics. CelerData’s founders developed StarRocks in 2020 and earlier this year contributed it to the Linux Foundation.
In March CelerData, headquartered in Menlo Park, Calif., took aim at the fast-growing data lakehouse space with a new release of its software with a cloud-native architecture, real-time streaming analytics, and support for open data table formats Hudi, Iceberg and Delta Lake.
Domo
CEO: Josh James
Domo develops its namesake “data experience” platform, a cloud-based, mobile data analytics and visualization system that provides decision makers with real-time business data from a wide range of operational applications and data sources.
In March the American Fork, Utah-based company debuted Domo Cloud Amplifier, which the company says helps users unlock data across multiple cloud platforms using a single virtual layer.
On March 6, Domo said that John Mellor, who served as Domo’s chief strategy officer for three years and then CEO for more than a year, was stepping down and that Josh James, the company’s founder and original CEO, was again assuming the CEO post.
Hitachi Vantara
CEO: Gajen Kandiah
Hitachi Vantara, a wholly-owned subsidiary of Hitachi Ltd., offers a portfolio of data analytics, data storage and data operations products, the latter including data integration, catalog and optimization tools and content intelligence software. The product suite includes the company’s Pentaho data integration and analytics platform.
Incorta
CEO: Osama Elkady
Incorta develops the Open Data Delivery Platform, a system for acquiring, processing and analyzing raw, operational data from business applications in real time. The platform, with Incorta’s Direct Data Mapping technology, connects to more than 240 data sources.
In March, Incorta, based in San Mateo, Calif., joined Google Cloud’s Ready BigQuery and AlloyDB in initiatives, validating its technology for those Google Cloud systems and making it easier for businesses and organizations to move business application and ERP (enterprise resource planning) data into the cloud.
Kyligence
CEO: Luke Han
Kyligence Enterprise, the company’s flagship multi-dimensional analytics platform, is designed to analyze massive datasets with its data modeling, query and processing capabilities. The platform is based on the open-source Apache Kylin distributed OLAP engine that was developed by Kyligence’s founders.
Earlier this month San Jose, Calif.-based Kyligence announced the general availability of Kyligence Zen, an intelligent metrics platform for developing and centralizing all types of data metrics into a unified catalog system.
Kyvos Insights
CEO: Praveen Kankariya
Kyvos Insights offers a data analytics acceleration platform, based on the company’s Smart OLAP technology, that the company says improves the performance of business intelligence tools like Tableau, Google Cloud Looker and Microsoft Power BI.
MicroStrategy
President and CEO: Phong Lee
MicroStrategy is one of the long-time players in the data analytics arena and bills itself as the largest independent, publicly traded business intelligence company. Headquartered in Tysons Corner, Va., MicroStrategy offers its enterprise analytics and embedded analytics platforms as part of the company’s “intelligence everywhere” vision.
In February the company reported that revenue in 2022 was $499.3 million, down more than 2 percent from $510.8 million in 2021.
In addition to its analytics software business, MicroStrategy also acquires and holds Bitcoin and as of the end of 2022 owned 132,500 Bitcoin.
Promethium
CEO: Kaycee Lai
Startup Promethium says that its collaborative data virtualization platform accelerates data analytics projects by eliminating data management and analytics complexity.
Promethium touts its software as a key element for data fabric initiatives that connect an organization’s data for analytics, machine learning and other tasks without the need for traditional ETL tools and approaches.
Pyramid Analytics
CEO: Omri Kohl
Pyramid Analytics describes the company’s Pyramid Decision Intelligence Platform as a fully integrated, no-code, AI-driven system that combines data preparation, data science, and self-service and augmented business analytics capabilities.
The company has been accelerating the expansion of its channel alliances over the last year including establishing partnerships with technology companies, ISVs, VARs, consulting firms and systems integrators. In November the company hired former IBM and Oracle executive Bill Clayton as vice president of global partner sales.
Earlier this month Amsterdam-based Pyramid Analytics said it is expanding into Mexico and Latin America via a series of partner agreements with top regional technology consultants including Analytics Mate, AS Analytics, BACIT, EMC Software C.A. and Hopewell Systems C.A.
Qlik
CEO: Mike Capone
Qlik is one of the leading business analytics providers with its flagship Qlik Sense data analytics, discovery and visualization software.
The company has expanded beyond its core analytics offerings in recent years with a number of savvy acquisitions including data integration tech developer Attunity in 2019 and automated machine learning software developer Big Squid in 2021. Qlik is now in the process of acquiring Talend, a leading provider of data management and integration tools.
In March Qlik launched its Connector Factory initiative to broaden the range of SaaS applications, legacy software and data sources that can link to its data analytics and integration products.
Rockset
CEO: Venkat Venkataramani
Rockset offers a cloud-based search and analytics database service for developing real-time analytical applications that require low-latency, high-concurrency analytical queries and data aggregations. The service is built on the RocksDB real-time indexing database.
In January Rockset said the San Mateo, Calif.- based company recorded exponential growth in 2022, including annual recurring revenue that grew 3.6x during the year and a customer based that more than doubled in size.
Salesforce/Tableau
CEO: Marc Benioff
Tableau Software was one of the industry’s most popular data analytics and visualization tools when cloud application giant Salesforce acquired the company in August 2019 for $15.7 billion.
Since then, Salesforce has been integrating Tableau with its other products, including its Einstein Discovery for predictive analytics and its Slack messaging application.
Earlier this year Tableau was updated with new data mapping capabilities and a new “Data Stories” capability for Tableau Server that uses natural language to automatically create a fully customizable story in narrative form to help business users understand analytical results.
SAS
CEO: Jim Goodnight
SAS is one of the largest and most established companies in the big data space and offers one of the industry’s broadest business analytics product portfolios led by its flagship SAS Viya data analytics, AI and data management platform.
In addition to Viya SAS develops a number of business analytics applications for specific tasks, such as marketing fraud detection and risk management, and for specific industries including banking, insurance, life sciences and retail.
In June 2022, SAS expanded its expertise and technology offerings in financial risk management with its acquisition of Hawaii-based Kamakura and its portfolio of applications for the financial services industry.
Privately held SAS, headquartered in Cary, N.C., is looking to go public over the next year or so and is taking financial and operational steps in preparation for an initial public offering.
Sisense
CEO: Amir Orad
The Sisense business analytics portfolio includes the Sisense Fusion Analytics platform, Sisense Fusion Embed for building analytical capabilities into applications and workflows, and Sisense Infusion Applications that provide data to users of everyday business applications including Microsoft Office 365 and Teams, Google Sheets and Slack.
Starburst
CEO: Justin Borgman
Starburst develops a data analytics platform, Starburst Enterprise, that can analyze huge volumes of data distributed across multiple locations – an alternative to the traditional approach of collecting and consolidating data in a central data warehouse. The company also offers Starburst Galaxy, a fully managed data lake analytics platform for handling petabyte-scale datasets.
The company’s software is built on the open-source Trino distributed SQL query engine. In June 2022 Starburst acquired Varada, an Israeli developer of data lakes acceleration technology. In April the company announced new integration with dbt Cloud, allowing data teams to more easily build data pipelines spanning multiple data sources on one central plane.
In early 2022 Starburst raised $250 million in a Series D funding round that at the time put the startup’s valuation at $3.35 billion.
ThoughtSpot
CEO: Sudheesh Nair
ThoughtSpot is one of the leading vendors in the data analytics space with its search-driven ThoughtSpot Analytics and ThoughtSpot Everywhere software. Earlier this year the company debuted ThoughtSpot Sage, which provides natural language analytics through GPT-3 integration.
Through 2020 and 2021 the company made a major pivot to cloud computing with its Modern Analytics Cloud offering.
In March ThoughtSpot, headquartered in Mountain View, Calif., announced an expanded strategic partnership with Google Cloud under which ThoughtSpot runs natively on the Google Cloud Platform and is integrated with a number of Google Cloud services.
Tibco/Cloud Software Group
CEO: Tom Krause
Tibco offers a portfolio of data management, integration and analytics products assembled through a series of acquisitions and organized as “Connect,” “Unify” and “Predict” products. Tibco Spotfire, for example, is the company’s flagship data analysis software while Tibco Statistica has been renamed Tibco Data Science.
In 2022 Tibco, owned by Vista Equity Partners, was merged with cloud and virtualization tech vendor Citrix Systems (acquired by Vista and Elliott Management affiliate Evergreen Coast Capital) in a $16.5 billion deal to create the Cloud Software Group.
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 can be accessed once then processed, combined and consumed anywhere. These new Pentaho big data innovations bring greater flexibility, insulation from change and increased competitive advantage to companies facing the relentless evolution of the big data ecosystem.
According to Richard Daley, founder and chief strategy officer at Pentaho, “The relatively breakneck speed at which big data analytics technology evolves as compared to the relational world is paralyzing many companies. The innovations we’re announcing today overcome this paralysis and allow companies to keep their big data technology options open, reduce risk and save considerable development time while taking advantage of the latest innovations in popular Big Data stores.”
Pentaho Adaptive Big Data LayerPentaho Business Analytics can literally plug into leading edge big data technologies with an advanced adaptive big data layer that supports the latest versions of Hadoop distributions, NoSQL databases and specialized big data stores. New capabilities include:• Hadoop distributions: Pentaho’s new adaptive big data layer supports the following Hadoop distributions: Cloudera CDH 4.1.2, 4.1.3, 4.2.0, 4.2.1; Intel’s IDH 2.3; Horton’s HDP 1.2.x and MapR 2.0.x and 2.1.x.• NoSQL databases: Pentaho also delivers support for the latest features in MongoDB and Cassandra.• Splunk: Machine data is one of the fastest growing and most pervasive segments of big data. Pentaho’s new Splunk adapter allows reading and writing data to Splunk. New Pentaho LabsPentaho Labs, led by Richard Daley, is staffed with top industry experts and a renowned data scientist to incubate breakthrough advanced analytic capabilities driven by big data. Pentaho Labs encourages seeding of new approaches and technologies that can over time be merged into the Pentaho roadmap based on market demand. According to Krishna Roy, BI and Analytics Analyst at 451 Research, “We are talking to many companies who are very interested in big data analytics, but lack the knowledge, skills and resources to keep up with the rapid pace of change in the ecosystem or even get started. Pentaho recognizes this and today’s announcements help lower the barriers to entry and accelerate innovation.
Hitachi Vantara Delves Deeper Into Streaming Data Analytics With Pentaho 8.0 Release
Hitachi Vantara has begun shipping Pentaho 8.0, a new release of the company’s business analytics software with advanced connectivity to streaming data sources for real-time business analytics.
As past practices of analyzing historical data give way to analyzing data in real time or near-real-time, businesses are increasingly demanding that their business intelligence tools be capable of handling streaming data from Internet of Things networks, social applications and cloud systems.
Market researcher IDC forecasts that the volume of generated data will increase by a factor of 10 by 2025. More importantly, 25 percent of that data will be real time – with 95 percent of that data streaming from IoT systems.
[Related: Hitachi Vantara Looks To Widen IoT Appeal With New Exec Team, Channel Friendly Appliance]
“A lot of businesses have come to the conclusion that data is relevant. But they have also discovered that they don’t know how to integrate data, analyze it and use it to gain insights,” said Dennis Wilbrink, a data and analytics consultant at Incentro, a Netherlands-based solution provider and longtime Pentaho partner.
Anticipating the growing demand for ways to derive value from all that data, Hitachi acquired business analytics software developer Pentaho in 2015.
The company recently combined the Pentaho business with its Hitachi Data Systems and Hitachi Insight Group operations within Hitachi Vantara, a wholly owned subsidiary.
“Pentaho 8.0 is really all about improving connectivity to these real-time data streams,” said Arik Pelkey, senior director of Pentaho product marketing, in an interview with CRN.
Pentaho 8.0 offers improved connectivity to streaming data sources, most notably the Kafka Streams publish/subscribe messaging system that handles large data volumes in a growing number of IT organizations. The 8.0 edition specifically enables real-time processing with specialized steps that connect Pentaho Data Integration to Kafka.
The new release also fully enables stream data ingestion and processing using either the software’s native engine or the Spark in-memory processing engine.
Those new capabilities will help meet the demands that Incentro is seeing from customers for the ability to handle streaming data from IoT systems, automotive systems and financial service systems, said Wilbrink in an interview with CRN.
“The notion of streaming data is becoming increasingly important to critical business operations,” Incentro’s Wilbrink said, pointing to use cases in financial services and telecommunications.
While Wilbrink said Pentaho 7.1 offered some real-time analytical capabilities, “with the release of 8.0, they have a done a lot of development on the streaming data side.”
The new Pentaho release builds on its enterprise-level security for Cloudera and Hortonworks platforms by supporting the Knox Gateway for authenticating users for Hadoop services.
The 8.0 edition also provides a number of new features and functions to help IT optimize data processing resources.
Adaptive execution, which matches workloads to the most appropriate processing engine without rewriting data integration logic, was introduced in Pentaho 7.1. The 8.0 release makes it easier to set up, use and secure adaptive execution. It also makes adaptive execution available for the Hortonworks platform.
The 8.0 release allows IT managers to utilize additional compute nodes and spread workloads across all available computation resources to match demand. It also supports the popular Avro and Parquet big data file formats.
Wilbrink said the enhancements move data processing closer to where the data resides, significantly speeding up processing times.
The Incentro data and analytics consultant said he has been evaluating the community edition of Pentaho 8.0, which came out earlier, and has been waiting for the general availability of the commercial release.
Another focus of the 8.0 release is speeding up the development and implementation times for business analysis projects.
“There’s a shortage of big data developers. So you want to get the most out of those resources,” Pelkey said, noting that between 60 percent and 80 percent of business analysis projects’ time is spent on data preparation.
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 can be accessed once then processed, combined and consumed anywhere. These new Pentaho big data innovations bring greater flexibility, insulation from change and increased competitive advantage to companies facing the relentless evolution of the big data ecosystem.
According to Richard Daley, founder and chief strategy officer at Pentaho, “The relatively breakneck speed at which big data analytics technology evolves as compared to the relational world is paralyzing many companies. The innovations we’re announcing today overcome this paralysis and allow companies to keep their big data technology options open, reduce risk and save considerable development time while taking advantage of the latest innovations in popular Big Data stores.”
Pentaho Adaptive Big Data LayerPentaho Business Analytics can literally plug into leading edge big data technologies with an advanced adaptive big data layer that supports the latest versions of Hadoop distributions, NoSQL databases and specialized big data stores. New capabilities include:• Hadoop distributions: Pentaho’s new adaptive big data layer supports the following Hadoop distributions: Cloudera CDH 4.1.2, 4.1.3, 4.2.0, 4.2.1; Intel’s IDH 2.3; Horton’s HDP 1.2.x and MapR 2.0.x and 2.1.x.• NoSQL databases: Pentaho also delivers support for the latest features in MongoDB and Cassandra.• Splunk: Machine data is one of the fastest growing and most pervasive segments of big data. Pentaho’s new Splunk adapter allows reading and writing data to Splunk. New Pentaho LabsPentaho Labs, led by Richard Daley, is staffed with top industry experts and a renowned data scientist to incubate breakthrough advanced analytic capabilities driven by big data. Pentaho Labs encourages seeding of new approaches and technologies that can over time be merged into the Pentaho roadmap based on market demand. According to Krishna Roy, BI and Analytics Analyst at 451 Research, “We are talking to many companies who are very interested in big data analytics, but lack the knowledge, skills and resources to keep up with the rapid pace of change in the ecosystem or even get started. Pentaho recognizes this and today’s announcements help lower the barriers to entry and accelerate innovation.
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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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
reasons to use Microsoft Power BI Stitch 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…
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…
How to create Excel dashboards with Claude 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…
The 10 Biggest Microsoft News Stories Of 2024 (So Far) The 10 Biggest Microsoft News Stories Of 2024 (So Far) New partner program investments, AI innovation and cloud outages are among the biggest headlines so far. New partner program investments. Innovation in the artificial intelligence portfolio. And cloud outages and concerns around security. These are some of the ways Microsoft has captured headlines in 2024 so far as the Redmond, Wash.-based tech giant rides high on its role as one of the biggest companies in the growing AI space. Microsoft Business Intelligence – Business Excellence Microsoft CEO Satya Nadella – named in July as CRN’s No. 1 Most Influential Executive…
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…
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 …
What is The Role of CRM in Gaining Business Intelligence? CRM is dead — and AI can’t come to the rescue fast enough For quite some time, “best practice” has been to make connecting with actual live human beings as inconvenient as possible, encouraging otherwise recalcitrant customers to find online solutions to their problems. This isn’t even necessarily a bad idea. In many cases, once customers figure out how to use a DIY system they end up preferring it — a convenience win for the customer and a financial win for the vendor. But there’s a wide gorge separating “inconvenient” from “impossible” (yes, I know, gorges are narrow by definition,…
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…
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…
