This presentation provides a look at the multiple Hype Cycles that are pertinent to AI initiatives. This would include: Hype Cycle for AI, generative AI, data science and machine learning platforms, analytics and business intelligence, and possibly others.
talk-data.com
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Speaker
Yogesh Bhatt
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talks
Yogesh Bhatt, is a Senior Director Analyst in Gartner Research, covers artificial intelligence and related topics such as data science, data and analytics governance, cloud data platforms, marketing intelligence & business intelligence. In his work he is focused on future trends, strategy, innovation, governance, ethics and best practices related to AI & Analytics.
Prior to joining Gartner, Yogesh has held several leading positions in the financial, retail, consumer, manufacturing and other sectors, in both executive level and technical leadership responsibility for a myriad of data and analytics initiatives. These included applications in Enterprise BI, Data and Analytics for Loyalty programs, data strategy for enterprises and AI / GenAI Strategy and implementations. He has 24 years of Global Technology consulting experience, and brings in strong credentials including TOGAF9 certified enterprise architect, CDMP (certified data management professional).
Bio from: gartner-data-analytics-india-2025
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Data and analytics leaders expect their data and analytics investments to deliver business results. But unless they address data, analytics and AI risk, their initiatives will fail, leading to higher business risk exposure. This session will help D&A leaders target three key areas where better data and analytics risk practices will yield better business results.
Trust models enable D&A governance leaders to understand how data, analytics and AI assets are used across their enterprise to support business outcomes. This session will help you understand what trust models are, and how they can be used to drive better business outcomes.