... Generative AI has the potential to transform business models. CIOs should join this webinar to hear a panel of Gartner experts share techniques used to ensure successful execution, including ways to take a human-centric approach to AI-related changes impacting your organization. Session Description ...
Analyst(s): Darren Topham | Alicia Mullery | Tsuneo Fujiwara
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... Payers continue to invest in technologies and AI to optimize experiences, improve health outcomes and reduce the cost of care. Payer CIOs can use these insights to inform their AI and technology strategy to create differentiated experiences for consumers, while executing their business objectives. Overview ...
... As a C-suite member, CHROs play a key role in safely using AI at scale to deliver business outcomes. Use this research to prepare both HR and the enterprise for AI transformation by focusing on desired business, behavioral and workforce readiness outcomes. Overview Introduction Analysis Gartner Recommended ...
... Generative AI has disrupted tech areas that use natural language technologies, including intelligent document processing. Applications and software engineering leaders should evaluate their use of IDP products or new engagements with IDP vendors in light of LLM-augmented IDP capabilities. Gartner Research ...
... Effective service provision for agent AI services will require new operating models and service offerings. Tech services leaders must address organizational structures, talent and partnerships to be ready to succeed with this new opportunity. Overview Introduction Analysis Gartner Recommended Reading ...
... AI-powered digital foundations will improve experience, productivity and efficiency across technologies, services, principles, processes and governance. Enterprise architects should use this research to understand how this model delivers next-generation digital solutions and outcomes. More Detail Gartner ...
... The urgent need for AI-ready data is creating new demands on D&A leaders. AI-ready data is contextual to the AI use case and technique, necessitating the evolution of data management practices. D&A leaders must prove data readiness and adapt their practices to meet new business expectations. More Detail ...
Analyst(s): Svetlana Sicular | Mark Beyer | Ehtisham Zaidi | Roxane Edjlali