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Premium Research Jun 2024
... new areas for delivery in order to be in the mainstream of compute infrastructure: high-performance computing and AI. In this podcast, we explore the realities of the AI and generative AI demands on I&O and recommend actions to take. Overview About the Guest Gartner Recommended Reading Gartner Research ...

Analyst(s):   Frances Karamouzis   |   Chirag Dekate
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Premium Research Sep 2024
... Rapid deployment of AI in organizations, combined with stringent new regulations, is placing greater pressure on legal and compliance leaders to assess AI risk without placing undue drag on their businesses. Use this tool to triage and assess the legal and compliance risks of AI use cases. When to Use ...

Analyst(s):   Legal and Compliance Research Team
Research Sep 2024
... engineering teams are under pressure to include AI features in custom applications but often lack the required AI skills. Software engineering leaders can use the data and analysis in this research to learn common approaches to upskilling and hiring for AI expertise. Overview Data Insights Gartner Recommended ...

Analyst(s):   Miriam Colman   |   Alec Pallin
Premium Research Apr 2025
... AI models create new model risks that can impact operations, reputations and compliance. Heads of enterprise risk management can enhance traditional model risk frameworks to address unique AI risks and use cases as well as apply a risk-based approach to the AI model risk management life cycle. Overview ...

Analyst(s):   David Martens
Premium Research Feb 2025
... Agentic AI automates actions with varying degrees of autonomy to dynamically adapt to complex scenarios. The next wave in the evolution of generative AI as well as customer experience, agentic AI is creating challenges and opportunities for product leaders at technology and service providers. Overview ...

Analyst(s):   Jim Hare   |   Mark McDonald   |   Sid Nag   |   Tom Coshow   |   Radu Miclaus
Premium Research Apr 2025
... CHROs struggle to address AI’s impact on the employee experience. Red Hat created a talent roadmap focused on employee-centric outcomes, not technology use cases, to proactively center employees in their AI strategy. This approach energizes the workforce to boost productivity with AI. Case Overview Problem ...

Analyst(s):   Alex Chertoff
Premium Research Sep 2024
... immature understanding of AI and its applications, buyers don’t always know what they need (trust, discovery or convenience) from an AI marketplace. As a product leader, you can position for success while also helping buyers overcome confusion by defining the goal of your AI marketplace. Overview Strategic ...

Analyst(s):   Aakanksha Bansal   |   Nick Ingelbrecht   |   Kara Batty   |   John Santoro   |   Annette Zimmermann   |   Tuong Nguyen
Premium Research Nov 2024
... narrowly concentrate on boosting internal productivity, ignoring the potential gains from making their customers’ lives easier. Organizations should use AI to increase customer productivity and value. Gartner Recommended Reading Gartner Research ...

Analyst(s):   Maria Marino   |   Michael Chiu   |   Ilona Hansen   |   Don Scheibenreif
Premium Research Mar 2025
... I&O leaders looking to purchase AI solutions for IT support and ITSM have several paths available. This decision tree will help them identify which route to take. Overview Gartner Recommended Reading Gartner Research ...

Analyst(s):   Chris Matchett
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