Scaling Data Quality in the Age of Generative AI
Explore the nuances of scaling data quality for generative AI applications, including the unique challenges and considerations that come into play.
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Explore the nuances of scaling data quality for generative AI applications, including the unique challenges and considerations that come into play.
Explore the critical steps to creating a successful AI upskilling program within your organization and find out best practices for building internal AI academies, from curriculum development to engagement strategies and measuring impact.
With new breathtaking capabilities from generative AI released every several months—and AI hype escalating at an even higher rate—it’s high time we differentiate most of today’s practical ML projects from those research advances.
Deep dive into significant trends and developments within Generative AI as we near the middle of 2024.
Dmitry Shapiro, CEO at MindStudio.ai, Alex Jaimes, Chief AI Officer at Dataminr, and Caryn Tan, Learning Solutions Architect at DataCamp, will guide you through the evolving landscape of AI careers.
World-renowned author & futurist Bernard Marr, will outline how Generative AI is being used in practice today.
DataCamp CEO and co-founder Jonathan Cornelissen welcomes you to Radar, highlighting the state of data & AI literacy today, customer success stories, and what the future holds for data & AI
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In this session, two experts on AI governance explain which AI policies you need to be aware of, how governments are treating AI regulation, and how you need to deal with them.
In this session Jo Boaler, the Nomellini & Olivier Professor of Mathematics Education at Stanford University, explains what we know about how to learn quantitative subjects well.
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