... Access Research Already a Gartner client? AI’s rapid adoption is driving up costs and risks, often due to complex licensing and aggressive vendor strategies. IT sourcing leaders must get in front of AI investments, negotiate contracts, and monitor usage to avoid budget overruns and maximize value. Overview ...
Analyst(s): Yoann Bianic | Zach Nagle | Stephen White | Mike Tucciarone
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... To evolve operating models to support AI effectively, D&A governance leaders must actively develop broad-ranging partnerships across assurance, security, and AI committees. Use this analysis to overcome gaps in D&A governance operating models by strengthening key partnerships. Insights at a Glance Strategic ...
... data and analytics officers often demonstrate commonalities in their roles and careers. This episode of the D-Suite features insight on journeys to executive leadership, focus areas for CDAOs, and major challenges in delivering valuable AI. Overview Gartner Recommended Reading Gartner Research ...
... Despite court challenges, legal leaders should prepare to quickly comply with the OSHA rule if needed. Learn from employment lawyers and early movers about who pays for tests, where to have employees tested, which tests require supervision, how to verify results and how to handle noncompliance. Recom ...
... Rapid AI adoption across the enterprise is leading to unprecedented organizational risk. CDAOs and AI leaders must identify, prioritize, and mitigate emerging data and AI risks, or face loss of executive trust, stalled AI value realization, and role elimination. Insights at a Glance Issue Impact Implications ...
Analyst(s): Antonia Roesler | Soyeb Barot | Joel Backaler
... GPU chips that power AI are essential inAI-enabled IT services, but their cost and availability now affect service delivery, pricing, and performance. IT SPVM leaders must understand why GPUs matter and what actions they must take to avoid service disruptions. Insights at a Glance Strategic Planning ...
... Artificial intelligence adoption is accelerating, and enterprises expect to increase AI investment. However, there are major barriers to enabling effective, scalable AI adoption. Enterprise architecture leaders should use this infographic to assess the top-five barriers and actions to overcome them. ...
... overestimating AI savings by viewing AI as an internal capability rather than outsourced intelligence. When AI replaces activities previously performed internally, this distinction becomes critical. This guidance highlights hidden costs and helps leaders evaluate the true life cycle impact of AI adoption. ...