Skip to main content
HomeBlogArtificial Intelligence (AI)

DataFramed AI Series: Navigating the Generative AI Revolution

Find out about DataCamp's upcoming podcast series focussing on the power of ChatGPT and generative AI.
Updated May 2023  · 3 min read

DataFramed AI series blog image (5).png

The rapid evolution of generative AI, such as ChatGPT, has caused a seismic shift in many industries. The potential for transformative use cases, productivity improvements, and innovation is extraordinary, but only achievable with a strategic approach. To thrive in this new era, one needs to understand which problems AI can solve independently and which require a blend of human and AI capabilities. Integrating AI into existing processes, or even starting anew, is crucial to success, and being aware of the challenges and risks associated with AI adoption is essential.

To help you navigate the path to AI success, we're releasing a four-episode special series of the DataFramed podcast covering key topics in generative AI. This blog post provides an overview of what you can expect from each episode.

Episode 1: ChatGPT and the OpenAI Developer Ecosystem

In the first episode, Logan Kilpatrick, a Developer Advocate at OpenAI, takes us on a deep dive into OpenAI's models and tools. With hot tips on GPT-4, plugins, and embeddings, Logan will provide essential tips for data scientists looking to harness the power of generative AI.

Episode 2: How Organizations can Leverage ChatGPT

The second episode focuses on generative AI in the enterprise. Noelle Silver Russell, the Global AI & Generative AI Solutions Lead at Accenture, shares her insights on safely incorporating generative AI within an organization. Learn how to balance innovation and security, and explore strategies for implementing AI solutions that align with your business objectives.

Episode 3: GPT and Generative AI for Data Teams

In the third episode, Sarah Schlobohm, the Head of AI at Kubrick Group, discusses the intricacies of incorporating AI within data teams. Topics covered include upskilling, productivity, and communication. Sarah's expertise will help data professionals understand how to integrate generative AI effectively into their daily work, maximizing the potential benefits and minimizing the risks.

Episode 4: Building AI Products with ChatGPT

In the final episode, Joaquin Marques, the founder and Principal AI Architect at Kanayma, covers ideas on what to build with AI, the details of how to build AI products, and how ChatGPT is making chatbots better. Joaquin has been working in AI since 1983 and has an encyclopedic knowledge of the space. Listen in for guidance on how to build AI into your own company's products.

Tune in

The four-episode DataFramed AI Series offers valuable insights into the world of generative AI, providing a comprehensive guide for professionals looking to capitalize on this revolutionary technology. Tune in to the first episode and join us on this journey as we explore the transformative potential of generative AI, and how you can successfully harness its power.

Subscribe to DataFramed

Subscribe to DataFramed wherever you get your podcasts.

Listen Now
Topics
Related

You’re invited! Join us for Radar: AI Edition

Join us for two days of events sharing best practices from thought leaders in the AI space
DataCamp Team's photo

DataCamp Team

2 min

The Art of Prompt Engineering with Alex Banks, Founder and Educator, Sunday Signal

Alex and Adel cover Alex’s journey into AI and what led him to create Sunday Signal, the potential of AI, prompt engineering at its most basic level, chain of thought prompting, the future of LLMs and much more.
Adel Nehme's photo

Adel Nehme

44 min

The Future of Programming with Kyle Daigle, COO at GitHub

Adel and Kyle explore Kyle’s journey into development and AI, how he became the COO at GitHub, GitHub’s approach to AI, the impact of CoPilot on software development and much more.
Adel Nehme's photo

Adel Nehme

48 min

A Comprehensive Guide to Working with the Mistral Large Model

A detailed tutorial on the functionalities, comparisons, and practical applications of the Mistral Large Model.
Josep Ferrer's photo

Josep Ferrer

12 min

Serving an LLM Application as an API Endpoint using FastAPI in Python

Unlock the power of Large Language Models (LLMs) in your applications with our latest blog on "Serving LLM Application as an API Endpoint Using FastAPI in Python." LLMs like GPT, Claude, and LLaMA are revolutionizing chatbots, content creation, and many more use-cases. Discover how APIs act as crucial bridges, enabling seamless integration of sophisticated language understanding and generation features into your projects.
Moez Ali's photo

Moez Ali

How to Improve RAG Performance: 5 Key Techniques with Examples

Explore different approaches to enhance RAG systems: Chunking, Reranking, and Query Transformations.
Eugenia Anello's photo

Eugenia Anello

See MoreSee More