#245 Can We Make Generative AI Cheaper? With ...

AI agents are spreading across the data and AI industry, promising to automate everything from research to outreach. At the same time, teams are learning that these tools can hallucinate, leak data, or act in surprising ways. In day-to-day work, the challenge is deciding which ta ...  Show more

World models are emerging as the next step after large language models, pushing AI from book knowledge toward systems that can simulate the physical and social world. Instead of just generating text or short videos, the goal is steerable simulation with long-horizon consistency a ...  Show more

David Kanter, Executive Director at MLCommons, discusses the work they're doing with MLPerf Benchmarks, creating the world's first industry standard approach to measuring AI speed and safety. He also shares ways they're testing AI and LLMs for harm, to measure—and, o ...

Andrew Rabinovich began his career in technology working on AI applications for cancer detection. He also spent time at Google, working on early iterations of products like Google Glass. Now at Upwork, as vice president and head of AI and machine learning, Rabinovich and his team ...  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 of the Data Science Salon Podcast, host Anna Anisin sits down with two powerhouse leaders shaping the future of AI and inclusivity in tech. First, Jennetta George, SVP of AI at AlixPartners & CEO of Artificially Intelligent, shares her expertise on leveraging Gene ...  Show more