... Gartner client? IT and software engineering leaders are heavily investing into generative AI, but value is still hard to achieve, and costs are only growing. With heavily lopsided priorities that will be difficult to reel in, IT strategy has gone fishin’. Gartner Recommended Reading Gartner Insights Abstract ...
Analyst(s): Jim Scheibmeir
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... ambitions and use cases •Reimagine “productivity” in the age of AI and manage AI costs •Make critical adjustments to your AI tech stack to build what Gartner calls the “AI Tech Sandwich” Return to this web page to watch the webinar. Contact us at gartnerwebinars@gartner.com with questions about viewing this ...
Analyst(s): Mary Mesaglio | Hung LeHong | Arun Chandrasekaran
... The increasingly complex cybersecurity regulatory landscape, including new requirements for generative AI, poses challenges to business operations in China. CIOs and their cybersecurity teams can use this tool to identify key requirements and prepare for discussions with their legal teams. When to Use ...
... warehouses in North America. How to scale the delivery of intelligent, generative AI applications How to use Generative AI to augment the complete software development life cycle How to build and test AI applications using AI application development platforms and AI Agent Builders How to optimize AI cost and ...
... Already a Gartner client? The AI toolbox is wide and diverse, and the associated AI market is constantly expanding. AI leaders need to coordinate the various elements of the AI stack — embedded techniques, development platforms and hybrid AI models — while maintaining robust AI governance. Scope Analysis ...
... Conversational AI is becoming a diverse and advanced landscape, with generative AI models adding new capabilities and agentic AI adding new automation. CIOs need to evaluate their conversational AI strategy to ensure they are on the path to affordable, feasible, governable and scalable AI. Overview Contributors ...