... a critical inflection point in the enterprise AI landscape as platform providers create “walled ecosystems.” Tech services leaders must champion customer data sovereignty for clients or risk losing control of their data and impacting options for future AI services. Overview Strategic Planning Assumption ...
Analyst(s): Ben Fieselmann | Chrissy Healey | Danny Ryan
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... generative AI evolving faster than regulations emerge, financial services leaders must make informed and timely decisions about its deployment. Financial services leaders can use this research to prepare for different regulatory scenarios as they assess the risks and benefits of deploying generative AI in their ...
... Agentic AI is confusing. Complicated terms, a myriad of communications and new concepts for enterprise buyers to sift through while trying to avoid pitfalls and chase benefits. Tech services leaders must gain clients’ confidence by explaining in business operational terms how AI agents enable solving ...
... AI and technology-driven innovation are essential priorities for organizations seeking to elevate customer experiences and optimize operational efficiency as key drivers of sustainable growth. CIOs must master five techniques to drive, scale, and accelerate innovation that support the expansion. Overview ...
Analyst(s): Jorge Lopez | Christian Stephan | Tsuneo Fujiwara
... adoption among insurers grows drastically, challenges like security risks, cost optimization and ethical data will require that insurers refocus their AI governance approach. Insurance CIOs can leverage this infographic to see how others are approaching GenAI governance and to benchmark against peers. ...
... U.S. healthcare payer CIOs can use this generative AI value and progress benchmark presentation to compare their current performance and priorities to their peers. These insights can highlight roadmap gaps and help brief CEOs on competitive challenges — and opportunities to differentiate. Overview Gartner ...
... Use cases and incremental productivity improvements are insufficient to drive enterprise-scale adoption of AI. This creates a chasm between weak adoption and continued innovation. Product leaders must focus on the enterprise and its transformation to break out and grow. Overview Analysis Gartner Recommended ...
Analyst(s): John Lovelock | Whit Andrews | Mark McDonald
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