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Premium Research Sep 2026
... Frontier AI companies continue to verticalize, launching dedicated industry solutions and even developing their own internal drug pipelines for the life sciences. CIOs must understand their transition from neutral software suppliers into potential “frenemies.” Insights at a Glance Issue Impact Implications ...

Analyst(s):   Reuben Harwood   |   Michael Shanler
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Premium Research Sep 2025
... Ineffective data retention exposes organizations to legal, financial, and compliance risk. Heads of I&O must replace fragmented, reactive data retention practices with strategic, cross-functional approaches that better align retention policies, improve data visibility, and modernize data archiving. ...

Analyst(s):   Rizvan Hussain
Research Feb 2026
... Access Insights Already a Gartner client? In today’s data-driven landscape, information is your most valuable asset. However, mismanaged data can quickly become your greatest liability. While most organizations have a data retention policy in place, many of these policies are ineffective, outdated, or ...

Analyst(s):   Nader Henein
Conference Highlight August 23 2022
... close to a decade.” “You’re too late to be early in data science and machine learning and 1-2 years away from being late.” “In-house data science teams are both worth it and a significant expense/hassle.” “Citizen data science and expert data science are distinct but obviously related disciplines with ...
Premium Research Mar 2026
... in China face more complex challenges in AI-ready data initiatives due to different stakeholder perspectives, a diverse vendor ecosystem, and data sovereignty demands. D&A leaders should use the presentation deck in this research to create a strong data management strategy and communicate effectively with ...

Analyst(s):   Xingyu Gu   |   Mike Fang
Research Feb 2026
... Access Insights Already a Gartner client? Gartner surveys reveal the lack of data readiness as a top barrier to AI, driving over 75% of organizations to prioritize AI-ready data investments. A strong data and analytics foundation is essential for AI success. It is enhanced through AI-driven and agentic ...

Analyst(s):   Sally Parker   |   Roxane Edjlali   |   Lydia Ferguson   |   Rita Sallam   |   Afraz Jaffri   |   Sumit Agarwal
Premium Research May 2026
... Healthcare CIOs face immense pressure to accelerate AI initiatives and deliver ROI. Success requires strong data management foundations, including team structures, governance and data engineering practices. Use this research to benchmark against your peers and strengthen your AI-readiness. Overview ...

Analyst(s):   Saru Mehta
Research Apr 2026
... and customer buy-in. Technology service leaders can boost AI sales by developing AI data agents to build AI-ready data quality, governance and semantic layers, while lowering the cost of delivering these AI-ready data foundations. Insights at a Glance Impact Brief Actions How to Execute Success Measures ...

Analyst(s):   Ben Fieselmann
Premium Research Dec 2025
... Data and AI are reshaping the delivery of business value. To build a future-ready workforce, D&A leaders must complement data literacy with AI literacy. Employees must have the skills to interpret data, apply AI responsibly and contribute to innovation and impact. Gartner Research ...

Analyst(s):   Alan D. Duncan   |   Pieter den Hamer
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