TinyML: Bringing machine learning to the edge

Managing distributed systems and complex workflows can be challenging. What happens when something fails? If a task isn't executed to completion, that can lead to serious problems. From transaction and billing failures to deploying software, even small issues can have significant ...  Show more

In January 2026, Thoughtworks launched AI/works™, an agentic development platform. It promises to make the capabilities of AI agents a reality for the enterprise, helping in areas including understanding complex legacy code, forward engineering new software solutions and agent go ...  Show more

In this DSS Podcast, Anna Anisin welcomes Serg Masís, Climate and Agronomic Data Scientist at Syngenta. Serg, an expert in machine learning interpretability and responsible AI, shares his diverse background and journey into data science. He discusses the challenges of building fa ...  Show more

In this episode, we take a closer look at Elon Musk's AI research company, Grok, and its latest development: the addition of an image generation capability called FLUX to its AI model. We discuss the potential implications of this advancement, which combines text and image genera ...  Show more

Catherine Nelson, author of the new O'Reilly book, Software Engineering for Data Scientists, discusses the collaboration between data scientists and software engineers -- an increasingly common pairing on machine learning and ...

Jimmy Secretan, CTO of JustWin, explores the latest innovations in privacy-preserving neural networks, and explains how JustWin is leveraging AI to help small businesses win government contracts. He also explores the future directions of AI, and the impact of AI on user autonomy ...  Show more