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Research May 2023
... Access Insights Already a Gartner client? The overall data and analytics software market grew by 12.3% to 133.4 billion in 2022 in current U.S. dollars. Nonrelational DBMS and data science and AI platforms were the fastest-growing subsegments in data and analytics software, with growth rates of 26.8% and ...

Analyst(s):   Radu Miclaus   |   Rahul Yadav   |   Kevin Quinn   |   Sharat Menon   |   Jim Hare   |   Robin Schumacher   |   Alys Woodward   |   Eric Hunter
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Premium Research Feb 2020
... Strategy: Realize the Value Related Research Trust and Governance: The Evolving Challenge Related Research AI, Data Science and Machine Learning: The Future Starts Now Related Research Data and Analytics Everywhere: Drive Pervasive Outcomes Related Research Emerging Technologies: Disruption Is a Given ...

Analyst(s):   Andrew White
Premium Research Sep 2024
... Democratized GenAI is trending with the emergence of technology that no longer requires deep AI or data science expertise. Portfolio management leaders can use this research to advance their GenAI efforts toward innovation while realistically supporting their goals to realize value. Gartner Research ...

Analyst(s):   Daniel Stang   |   James Boyle
Premium Research Feb 2026
... Healthcare and life science organizations face shifting risk pools, margin erosion, new drug access models, rising cost complexity and innovation pressures in 2026. CIOs must modernize data and analytics as well as expand access paths to meet demand and protect affordability, safety and performance. ...

Analyst(s):   Connie Salgy   |   Roger Benn   |   Animesh Gandhi   |   Mandi Bishop
Premium Research Jan 2024
... More than ever, sourcing and procurement organizations must use automation and data science to balance everyday requirements of executing multitudes of sourcing events along with the need to leverage sourcing data more effectively to glean strategic insights. Scope Analysis Topics Suggested First Steps ...

Analyst(s):   Research Board Research Team
Premium Research Aug 2026
... enterprise data and data management practices are capable of supporting agentic AI requirements, including evaluating agents for valid usage of data. Without evaluating whether the data is suitable for agentic AI, organizations risk facing unpredictable outcomes, such as inaccurate responses or data misuse ...

Analyst(s):   Mark Beyer   |   Ehtisham Zaidi   |   Roxane Edjlali   |   Adam Ronthal
Premium Research Apr 2024
... In this excerpt from the D-Suite Vodcast, Giles Pavey, global data science director at Unilever, shares his experience in creating responsible and ethical AI procedures that are effective, practical and help, not hinder, the scalability of AI initiatives. Overview Gartner Recommended Reading Gartner ...

Analyst(s):   Rita Sallam   |   Afraz Jaffri
... Modern Data Engineering Systems Data engineering is central to delivering scalable, reliable, and AI-ready analytics platforms. As data ecosystems grow more complex with cloud and GenAI adoption, D&A and AI leaders must ensure their teams are equipped for success. The Essentials Skills for Data Engineers ...
Premium Research Jan 2024
... repercussions in multiple domains. To leverage emerging opportunities and mitigate unknown risks, data and analytics leaders must address the impact of artificial intelligence analytics and data science ecosystems, user behavior, roles, and decisions. Overview Strategic Planning Assumptions Analysis ...

Analyst(s):   Radu Miclaus   |   Edgar Macari   |   Julian Sun   |   Mike Fang   |   Aura Popa   |   Peter Krensky   |   David Pidsley   |   Afraz Jaffri   |   Rita Sallam
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