972: In Case You Missed It in February 2026
Jon Krohn recaps the month of February in this episode of In Case You Missed It. Across four interviews with Will Falcon (Episode 965), Tom Griffiths (Episode 969), Antje Barth (Episode 963), and Praveen Murugesan (Episode 967), Jon questions the brains behind some of the AI industry’s most innovative companies about launching a startup, developing a popular product, what artificial intelligence can still learn from human intelligence, and how AI might finally start to think on its own.
Additional materials: www.superdatascience.com/972
Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.
963: Reinforcement Learning for Agents, with Amazon AGI Labs’ Antje Barth
Bestselling author and Gen AI instructor Antje Barth talks to Jon Krohn about her work at Amazon’s AGI Labs and their newest product Nova Act, as well as where we will see the most success with AI agents and how AI developers can reap those rewards.
This episode is brought to you by the Dell, by Intel, by Fabi and by Cisco.
Additional materials: www.superdatascience.com/963
Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.
In this episode you will learn:
(01:23) Amazon’s latest product, Nova Act
(11:05) How Nova Act tests reliability
(24:01) Where Amazon’s 1000s of gen AI deployments succeed
(31:32) How Nova Act maintains its security
(36:32) The increasing value of agentic AI developers
How AWS is Working to Help Developers with AI Reality
In a recent episode of The New Stack Agents livestream, Antje Barth, AWS Developer Advocate for Generative AI, discussed the growing developer interest in building agentic and multi-agent systems. While foundational model knowledge is now common, Barth noted that developers are increasingly focused on tools, frameworks, and protocols for scaling agent-based applications. She emphasized the complexity of deploying such systems, particularly around navigating human-centric interfaces and minimizing latency in multi-agent communication.
Barth highlighted AWS’s support for developers through tools like Amazon Q CLI and the newly launched open-source Strands SDK, which AWS used internally to accelerate development cycles. Strands enables faster, flexible agentic system development, while services like Bedrock Agents offer a managed, enterprise-ready solution.
Security was another key theme. Barth stressed that safety must be a “day one” priority, with built-in support for authentication, secure communication, and observability. She encouraged developers to leverage AWS’s GenAI Innovation Center and active open-source communities to build robust, scalable, and secure agentic systems.
Learn more from The New Stack about AWS' support for developers through tools that support multiple agents:
Code in Your Native Tongue: Amazon Q Developer Goes Global
AWS Launches Its Take on an Open Source AI Agents SDK
Amazon's Bedrock Can Now 'Check' AI for Hallucinations
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Data Science on AWS with Chris Fregly and Antje Barth - #490
Today we continue our coverage of the AWS ML Summit joined by Chris Fregly, a principal developer advocate at AWS, and Antje Barth, a senior developer advocate at AWS.
In our conversation with Chris and Antje, we explore their roles as community builders prior to, and since, joining AWS, as well as their recently released book Data Science on AWS. In the book, Chris and Antje demonstrate how to reduce cost and improve performance while successfully building and deploying data science projects.
We also discuss the release of their new Practical Data Science Specialization on Coursera, managing the complexity that comes with building real-world projects, and some of their favorite sessions from the recent ML Summit.
