Jan 13
957: How AI Agents Are Automating Enterprise Data Operations, with Ashwin Rajeeva
AI agents, data lakes, and managing data sprawl: Ashwin Rajeeva, cofounder and CTO of Acceldata, speaks to Jon Krohn about how the agentic data management startup raised over $100 million in venture capital to expand its business in automating data quality assurance as well as ca ... Show More
59m 36s
Jan 9
956: From Agent Demo to Enterprise Product (with Ease!) feat. Salesforce’s Tyler Carlson
#Sponsored SVP, Head of Product for Salesforce’s AppExchange & Ecosystem, Tyler Carlson, talks to Jon Krohn about taking AI agents from prototype to enterprise-grade production with the Agentforce 360 Platform. Though we may now have plenty of tools to build demos for AI agents, ... Show More
26m 28s
Jan 6
955: Nested Learning, Spatial Intelligence and the AI Trends of 2026, with Sadie St. Lawrence
Sadie St Lawrence joins Jon Krohn to discuss what to expect from the AI industry in 2026. Sadie and Jon talk through what they think will be the five biggest trends in AI, hand out awards for the best moments, comebacks, and disappointments in AI in 2025, and review how their pre ... Show More
1h 8m
Jan 2022
Academics and Data Science Innovation with Dr. David Bader, Distinguished Professor and Director, Institute for Data Science, New Jersey Institute of Technology
<p>The data science field is expanding because so many businesses and other institutions require skilled workers who can manage data as well as provide insights. Companies and students are clamoring for more academic programs. There is great need, but academic institutions are st ... Show More
39m 32s
Dec 2023
Open Source Revolution: AI’s Redemption in Data Science (Ep. 247)
<p>Dive into the world of Data Science at Home with our latest episode, where we explore the dynamic relationship between Artificial Intelligence and the redemption of open source software. In this thought-provoking discussion, I share my insights on why now, more than ever, is t ... Show More
36m 47s
Mar 2022
Bayesian Machine Learning with Ravin Kumar (Ep. 191)
<p>This is one episode where passion for math, statistics and computers are merged.
I have a very interesting conversation with Ravin, data scientist at Google where he uses data to inform decisions.</p>
<p>He has previously worked at Sweetgreen, designing systems that would b ... Show More
31m 12s
Feb 2020
#73 – Andrew Ng: Deep Learning, Education, and Real-World AI
Andrew Ng is one of the most impactful educators, researchers, innovators, and leaders in artificial intelligence and technology space in general. He co-founded Coursera and Google Brain, launched deeplearning.ai, Landing.ai, and the AI fund, and was the Chief Scientist at Baidu. ... Show More
1h 29m
May 2024
Deepthi Sigireddi on Distributed Database Architecture in the Cloud Native Era
In this podcast, Vitess CNCF project technical lead Deepthi Sigireddi discusses the architecture of cloud native distributed databases, sharding, replication, and failover. She also talks about what DB developers should consider when choosing distributed databases.
Read a transcr ... Show More
37m 24s
Sep 2019
François Chollet: Keras, Deep Learning, and the Progress of AI
François Chollet is the creator of Keras, which is an open source deep learning library that is designed to enable fast, user-friendly experimentation with deep neural networks. It serves as an interface to several deep learning libraries, most popular of which is TensorFlow, and ... Show More
56m 57s
May 2023
Chanuki Seresinhe - Head of Data Science at Zoopla - Generative AI & AI for happiness #33
Our guest today is Chanuki Seresinhe, head of Data Science at Zoopla, a company which provides millions of users with access to properties for sale and for rent. In our conversation, we first talk about Chanuki’s PhD where she used machine learning to identify relationships betw ... Show More
57m 13s
In this episode of the SuperDataScience Podcast, I chat with the President and Editor at KDNuggets, Gregory Piatetsky-Shapiro. You will hear about the recent advancements in Data Science, learn how Reinforcement Learning can greatly improve AI capabilities, and learn about the noticeable growing trend of automation in the field of data science.
If you enjoy ... Show More
