DataCamp CEO and Co-founder Jonathan Cornelissen welcomes you to Radar, highlighting the state of data and AI literacy today, customer success stories, and what the future holds for data and AI

Generative AI is rewriting the rulebook for many industries, from tech to finance to healthcare and beyond. It's also prompting profound changes to society, eduation, and careers. In this session, world-renowned author and futurist Bernard Marr, will outline how Generative AI is being used in practice today. Drawing from his extensive research and insights from his latest book, "Generative AI in Practice," Marr will spotlight groundbreaking GenAI applications across diverse sectors, including retail, healthcare, education, finance, and more.

As Artificial Intelligence reshapes industries and ushers in new frontiers of innovation, the demand for skilled professionals in the AI space is soaring. In this session, Megan Finck, Global Head of Talent Acquisition in Engineering, IT and Data Analytics at Boeing, and Sadie St. Lawrence, Founder of Women in Data will guide you through the evolving landscape of AI careers. This session will guide you through everything you need to know to find a job in AI in 2024, from identifying emerging roles and essential skills to practical tips and strategies to enhance your job hunt success.

Generative AI is rapidly transforming the technology & business landscapes, impacting various sectors and opening new avenues for innovation. In this session, two venture capitalists, Crissy Costa Brehrens, Principal at Insight Partners, and Sandhya Venkatachalam, Partner at Khosla Ventures, will deep dive into significant trends and developments within Generative AI as we near the middle of 2024. They will cover the direct impacts of these technologies on industries, highlighting practical applications that are set to drive growth and change, and what defines a succesful AI startup today.

Machine learning has an “AI” problem. 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. Including all ML initiatives under the “AI” umbrella oversells and misleads, contributing to a high failure rate for ML business deployments. In this keynote address, consultant and bestselling author Eric Siegel shows that, for most ML projects, the term “AI” goes entirely too far—it alludes to human-level capabilities. By unpacking the meaning of “AI,” he'll reveal just how overblown a buzzword it is.

As AI continues to be a critical driver of innovation and competitive advantage, the imperative for organizations to upskill their workforce in this domain has never been more pressing. In this session, Mike Baylor, Vice President and CDAO at Lockheed Martin, Carolann Diskin, Senior Technical Program Manager at Dropbox, and Matthew Graviss, CDAIO at US Department of State, will outline the critical steps to creating a successful AI upskilling program within your organization. They will focus on best practices for building internal AI academies, from curriculum development to engagement strategies and measuring impact. This session covers everything you need to launch and sustain an effective AI learning ecosystem that drives innovation and enhances organizational capabilities.

Generative AI's transformative power underscores the critical need for high-quality data. In this session, Barr Moses, CEO of Monte Carlo Data, Prukalpa Sankar, Co-founder at Atlan, and George Fraser, CEO at Fivetran, will discuss the nuances of scaling data quality for generative AI applications, highlighting the unique challenges and considerations that come into play. Throughout the session, they will share best practices for data and AI leaders to navigate these challenges, ensuring that governance remains a focal point even amid the AI hype cycle.

AI holds great promise for improving productivity, automating tasks, and improving customer experiences. Done wrong however, it can lead to bias and discrimination, privacy and security violations, regulatory compliance problems, and erosion of trust with your customers. In this session, Haniyeh Mahmoudian, Chief AI Ethicist at Datarobot, Eske Montoya Martinez van Egerschot, Chief AI Governance and Ethics at DigiDiplomacy and Associate Partner at Meines Holla & Partners, and Alexandra Ebert, Chief Trust Officer at MOSTLY AI, will explore actionable strategies for embedding responsible AI principles across your organization's AI initiatives. Emphasizing transparency, fairness, and accountability, they will highlight practical steps for building and maintaining trust in AI systems among stakeholders.

As AI becomes central to competing in the 21st century, leaders are tasked with accelerating AI transformation across the board. In this session, level leaders from industry and government: Chandra Donelson, Space Data and Analytics Officer at United States Space Force and Semih Kumluk, Head of AI and Digital at PwC, and Giorleny Altamirano Rayo, Chief Data Scientist at U.S. Department of State, will explore how they're harnessing AI to propel their organizations forward. They'll discuss the journey of integrating AI into their business models, from gaining organizational buy-in to cultivating a culture that embraces innovation and adaptability.

From data science to software engineering, Large Language Models (LLMs) have emerged as pivotal tools in shaping the future of programming. In this session, Michele Catasta, VP of AI at Replit, Jordan Tigani, CEO at Motherduck, and Ryan J. Salva, VP of Product at GitHub, will 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 a lot more.

As the battle between open source and closed source AI continues, Hugging Face emerges as the one of the great accelerators of the open source AI ecosystem. In this session, Julien Simon, Chief Evangelist at Hugging Face, will deep dive into the Hugging Face ecosystem and how it's galvanizing open source AI, and how the future of the open source AI ecosystem will evolve in the years to come.

As the hype around AI accelerates, aligning AI initiatives with business goals is not just strategic, but essential for driving growth and trust in AI. In this session, Vin Vashishta, Founder and Chief Revenue Officer of V Squared, Cindi Howson, Chief Data Strategy Officer at ThoughtSpot, and Sonali Bhavsar, Managing Director at Accenture, will unpack the key steps necessary for building a comprehensive AI strategy that resonates with your organization's objectives. From identifying high-impact opportunities to integrating AI seamlessly into existing processes, this discussion will offer a blueprint for leaders to leverage AI effectively.

Generative AI is here to stay, fundamentally altering our relationship with technology. But what does its future hold? In this session, Tom Tunguz, General Partner at Theory Ventures, Edo Liberty, CEO at Pinecone, and Nick Elprin, CEO at Domino Data Lab, will explore how generative AI tools and technologies will evolve in the months and years to come. They will navigate through emerging trends, potential breakthrough applications, and the strategic implications for businesses poised to capitalize on this technological wave.

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