Huiming Qu didn’t plan to work in data science, a nascent field at the time she was pursuing a Ph.D. in computer science, but one course in data mining changed all of that. She started her career in the research department at IBM, transitioned to a 50-person startup, spent some time in the financial services industry, and today leads data science and machine ... Show More
Yesterday
AI for Interoperability in Health Care: Philips’s Carla Goulart Peron
On today's episode, Philips’s chief medical officer Carla Goulart Peron shares how artificial intelligence is reshaping health care — not by replacing clinicians but by expanding access, improving diagnostics, and freeing doctors to focus more time on patients. Drawing on her exp ... Show More
33m 55s
May 19
A Need for Nuance: The Economist’s Andrew Palmer
On today’s episode, Andrew Palmer, senior editor at The Economist, describes how organizations can experiment with generative AI while balancing speed, quality, and risk. At his own organization, Andrew and others test AI with human oversight to develop editing and publishing eff ... Show More
40m 40s
May 5
Behind the AI in the Newsroom: The Washington Post’s Vineet Khosla
In this episode, Sam speaks with Vineet Khosla, CTO of The Washington Post, about how AI is reshaping the way news is produced, delivered, and consumed. Vineet argues that journalism itself isn’t broken — but the formats people use to consume news are rapidly evolving, especially ... Show More
38m 56s
Feb 2024
216 Rachel Chung - Myths & Truths About AI
<p>It's been a little over a year now since most of us were introduced to ChatGPT. Since that time, many professionals, businesses and organizations have worked hard to understand not only ChatGPT, but machine learning and Artificial Intelligence, and what it all can do to ass ... Show More
19m 47s
Mar 2024
Launching 7-Figures AI Products With Franziska Kirschner #44
Our guest today is Franziska Kirschner, Co-Founder of Intropy AI and ex AI & Product Lead at Tractable: the world’s first computer vision unicorn. In our conversation, we dive into Franziska's PhD, her career at Tractable and her experience building deep learning algorithms for c ... Show More
1h 5m
Mar 2024
#298 Denzil Eden experimented toward AI success
Have you ever wondered how a symphony of ones and zeros harmonizes with the delicate touch of piano keys? Our latest guest, Denzil Eden, an MIT and Harvard alum with a storied tenure at Microsoft, bridges this seemingly vast chasm with grace. In a heart-to-heart, she illuminates ... Show More
43m 42s
Aug 2021
In Machines We Trust: Beating the AI hiring machines
When it comes to hiring, it’s increasingly becoming an AI’s world, we’re just working in it. In this, the final episode of Season 2, and the conclusion of our series on AI and hiring, we take a look at how AI-based systems are increasingly playing gatekeeper in the hiring process ... Show More
31 m
Feb 2024
#179 Why ML Projects Fail, and How to Ensure Success with Eric Siegel, Founder of Machine Learning Week, Former Columbia Professor, and Bestselling Author
We are in a Generative AI hype cycle. Every executive looking at the potential generative AI today is probably thinking about how they can allocate their department's budget to building some AI use cases. However, many of these use cases won't make it into production.In a similar ... Show More
48 m
Jun 2023
#140 How this Accenture CDO is Navigating the AI Revolution
In the realm of Applied Intelligence, Accenture leads the way in harnessing the power of data and AI to transform industries. From consumer products to life sciences, retail, and aerospace, Accenture's influence is far-reaching. But what drives the organization? How does it navig ... Show More
49m 1s