Introducing the DataFramed AI Series

Hi, I'm Maggie, VP of Curriculum at datacamp, and I know firsthand how overwhelming it can be to keep up with the rapid changes in data and AI. But staying ahead doesn't have to be hard. That's why our curriculum team has curated the best learning content to help you and your team stay ahead, covering everything from data and AI literacy for busy executives to cutting edge generative AI for developers, and everything in between. Whether you're upskilling yourself or your team, we make learning practical, engaging and flexible. It just works. Power your data and AI Transformation Journey on datacamp.com.

Welcome to Data Framed. This is Richie. You've probably noticed that generative AI is a little bit of a big deal right now. In just six months, ChatGPT has upended dozens of industries, and that's only the tip of the iceberg. The opportunities for transformative use cases, productivity improvement and innovation with AI are incredibly incredible, but only if you play it right. To win in this new era of generative AI, you need to understand what problems can be solved with AI and which ones require humans and AI to work together. You need to know how to integrate AI into your existing processes and when to tear up those processes and start again from scratch. Finally, to achieve enterprise adoption, you need to be aware of the challenges and the risks involved with leveraging AI. To help you navigate the path to AI success, we've created a four episode series of Data Framed covering exactly that. Our first guest is Logan Kilpatrick, a developer advocate at OpenAI. We get into a deep dive of what's happening at OpenAI with plenty of tips on GPT4 plugins and why embeddings are an essential tool for data scientists. The second episode covers enterprise uses of generative AI. Adele interviews Noel Silva Russell, the Global AI and Generative AI Solutions lead at Accenture, and they discuss how to thread the needle safely to bring generative AI into your organization. Thirdly, Sarah Schlobaum, the head of AI at Kubrick Group, takes you through the details of using AI in a data team. We cover everything related to generative AI and data science, from upskilling to productivity communication. Finally, Joaquin Marquez, the founder and principal AI architect at Kanema, covers ideas of what to build with AI, details of how to build AI products, and how ChatGPT is making chatbots better. We hope you learned something useful and enjoy listening. See you in our first episode in the Data Framed AI series.