Progressez en data et en IA grâce aux conseils d’experts pour les apprenants et les équipes
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Julien Simon, Chief Evangelist at Hugging Face, deep dives into the Hugging Face ecosystem and how its galvanizing open source AI, and how the future of the open source AI ecosystem will evolve in the years to come.
Explore practical applications of LLMs in coding workflows, how to best approach integrating AI into the workflows of data teams, what the future holds for AI-assisted coding, and more.
C-level leaders from industry and government will explore how theyre harnessing AI to propel their organizations forward.
Explore actionable strategies for embedding responsible AI principles across your organizations AI initiatives.
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
Experts outline the critical steps to creating a successful AI upskilling program within your organization.
Richie and Robb explore chat interfaces in software, the advantages of chat interfaces, geospatial vs language memory, personality in chatbots, handling hallucinations and bad responses, agents vs chatbots, ethical considerations for AI and much more.
Richie and Venkat explore Tesco’s use of data, understanding customer behavior through loyalty programs, operating a cohesive data intelligence platform that leverages multiple data sources, the challenges of data science at scale, the future of data and much more.
Adel and Denis explore Denis’ role at Perplexity.ai, culture at perplexity, competition in the AI space, building genAI products, the future of AI and search, open-source vs closed-source AI and much more.
Richie, Cathy and Irena explore spatial computing, its prominence alongside the release of Apples Vision Pro, expected effects in the gaming and entertainment industries, future developments in the space and much more.
In this code-along, Richie shows you how to use the OpenAI API and GPT-4o to create an AI assistant for data science tasks.
Richie and Kim explore her work on Google Gemini, the importance of customizability in AI models, the intersection of AI, neuroscience and memory and much more.