... Access Insights Already a Gartner client? The shift to AI-native architectures marks the death of the self-contained product; modern products are reborn as orchestrators. To avoid obsolescence, product leaders must leverage the long tail of AI-native startups to secure cost-effective, continuous innovation ...
Analyst(s): Kelli Smith | Mark Wesker | Tracy Tsai
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... Gartner forecasts that starting in 2028-2029, AI will create more jobs than it eliminates, yet over 32 million roles will be transformed significantly each year. All knowledge worker jobs will change as AI is infused in the fabric of business and IT processes. Financial impact and value creation will ...
... regulatory and value creation goals hamper CSP’s ability to advance cloud and AI adoption mandates. CSP CIOs can use the decision support framework herein to assess key decision levers and prioritize strategies for public cloud and AI partnerships. Insights at a Glance Impact Brief Actions How to Execute ...
... Access Insights Already a Gartner client? Many midsize enterprises fail to capture AI value due to fragmented investments and poor alignment with business goals. By focusing the AI strategy on initiatives directly linked to clear business outcomes, organizations can cut costs, reduce overhead, and accelerate ...
... data quality practices are inadequate for meeting the dynamic, continuous, and trusted data demands of AI systems. D&A leaders must prioritize comprehensive augmented data quality solutions to architect AI-ready data and ensure the continuous quality of data. Insights at a Glance Impact Actions Cautions ...
... Gartner client? CIOs must avoid the AI productivity trap by anchoring every initiative to a specific business outcome. Redesign the workflow with a cross‑functional team and use shared OKRs to keep everyone aligned on delivering measurable impact rather than isolated AI activity. Insights at a Glance Impact ...
... Already a Gartner client? AI-ready data products require overlapping data governance policies that introduce complex conflicts. D&A leaders must manage this complexity with data contracts that offer a solution that shifts governance to the data producers while supporting creation of AI-ready data assets. ...