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Spreading Data & AI Literacy Across Your Organization

Learn how to devise a data and AI strategy that aligns with your business strategy, and how to combine technology and training to increase the data and AI literacy across your company for business success.

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How to Communicate with Data Effectively

Miro Kazakoff, a Senior Lecturer at MIT Sloan and the author of Persuading with Data, and David Boyle, the Director at Audience Strategies and author of the PROMPT series of books, teach you how to communicate more effectively with data.

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DataCamp Classrooms Orientation Autumn 2024

Whether you’ve used DataCamp Classrooms for years or this is your first time, you’ll learn all about the recent improvements we made to the platform that you can utilize to make teaching data science to your students a breeze.

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Bringing Generative AI to the Enterprise

Steve Holden, Senior Vice President and Head of Single-Family Analytics at Fannie Mae, shares the ingredients for successful introduction of LLMs at a large U.S. Financial company and some of the early opportunities to create business value.

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Developing Data & AI Products

Sagar, SVP of Enterprise Sales and Solutions at The Modern Data Company, and Logan, Associate Director at Moodys Analytics teach you why, when, and how to create and manage data and AI products.

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Building Your Organization’s Data & AI Maturity

Adel Nehme, VP of Media at DataCamp, details the path to become a data & AI mature organization.

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How To 10x Your Data Team's Productivity With LLM-Assisted Coding

Gunther, the CEO at Waii.ai, explains what technology, talent, and processes you need to reap the benefits of LLL-assisted coding to increase your data teams productivity dramatically.

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Bridging the Generative AI Talent Gap

Adel Nehme, VP of Media, discusses the state of the AI skills gap, introducing a comprehensive framework for upskilling all learning personas within your organization.

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DataCamp 2024 Q3 Roadmap

Whether you’re investing in your data and AI skills or responsible for your organization’s professional development, join us for an overview of new features and content coming to DataCamp in the third quarter of 2024.

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Building Effective Data Teams

In this session, Pamela, Director of Data Quality and Integrity at Warner Bros. Discovery, and Tarush Aggarwal, CEO at 5x, will guide you through on creating a data team that will get you real results.

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Radar AI Edition 2024: Closing Session & AMA

Join DataCamp CEO and COO Jonathan Cornelissen & Martijn Theuwissen for closing words to cap off the day. Followed by an ask me anything with both of them.

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Charting the Path: What the Future Holds for Generative AI

Explore how generative AI tools & technologies will evolve in the months and years to come and navigate through emerging trends, potential breakthrough applications, and the strategic implications for business.

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Building an AI Strategy: Key Steps for Aligning AI with Business Goals

Experts unpack the key steps necessary for building a comprehensive AI strategy that resonates with your organizations objectives.

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Hugging Face & the Future of the Open Source AI Ecosystem

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.

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The Future of Programming: Accelerating Coding Workflows with LLMs

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.

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Leading with AI: Leadership Insights on Driving Successful AI Transformation

C-level leaders from industry and government will explore how theyre harnessing AI to propel their organizations forward.

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Building Trust in AI: Scaling Responsible AI Within Your Organization

Explore actionable strategies for embedding responsible AI principles across your organizations AI initiatives.

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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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