A few Fridays ago, in Episode #896, I made the case that AI probably isn’t going to take your job anytime soon. AI is, however, being quite disruptive as more and more tasks are automated and there are examples of industries being so disrupted by AI that some folks within the industry need to take note now because, if they don’t adapt, their role — maybe even their whole company — could be at risk.
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Filtering by Category: Five-Minute Friday
In Case You Missed It in June 2025
We had exceptional guests on my podcast in June. In today's "In Case You Missed It" episode, hear the best parts of all my June convos. Here's a quick summary to tantalize you:
Strategy consultant Diane Hare with five tricks for gaining buy-in on A.I. transformation in your organization.
Renowned data-career educator Avery Smith on the two portfolio projects every aspiring data analyst should build.
SuperDataScience founder Kirill Eremenko on what you're missing if you're struggling to land an A.I. job.
San Fran-based venture capitalist Shaun Johnson on the traits that make a great A.I. startup founder.
The SuperDataScience podcast is available on all major podcasting platforms, YouTube, and at SuperDataScience.com.
95-Year-Old Annie on How to Stay Healthy and Happy
Our 900th Episode! It almost goes by as quickly as 95 years! By popular demand, my grandmother Annie returns to the podcast with wisdom on staying happy and healthy at any age.
The SuperDataScience podcast is available on all major podcasting platforms, YouTube, and at SuperDataScience.com.
My Four-Hour Agentic AI Workshop is Live and 100% Free
In case you missed my post last week, my four-hour Agentic A.I. workshop (with Ed Donner, pictured) is live. 8,000 people have already watched it! Here's what they're saying:
Read MoreAI (Probably) Isn’t Taking Your Job (At Least Anytime Soon)
Is AI actually taking jobs? Spoiler alert: the data suggest it's not happening yet, despite all the anxiety out there.
Read MoreIn Case You Missed It in May 2025
We had stellar guests in May, including one episode that had the most positive social-media response of any episode ever. In today's "In Case You Missed It" episode, hear the best parts of all my May convos.
The specific conversation highlights included in today's episode are:
John Roese, Dell Technologies' global CTO and Chief A.I. Officer, on the biggest A.I. opportunities for enterprises in the coming months/years. (This is the episode that received an unprecedented social-media response.)
The authors of the brand-new O'Reilly book "Python Polars: The Definitive Guide", Jeroen Janssens and Thijs Nieuwdorp, on a real-world Polars success story.
Space engineer and entrepreneur Mary Spio on solving global talent shortages with A.I.-infused virtual reality hardware.
Martin Brunthaler, serial entrepreneur/CTO, on how platforms like Adverity allow you to talk with your data in natural language.
The SuperDataScience podcast is available on all major podcasting platforms, YouTube, and at SuperDataScience.com.
We’re In The AI “Trough of Disillusionment” (and that’s Great!)
Today we're diving into a shift happening in the AI landscape right now — one that might surprise you (and perhaps even be worrying!) given all the hype we've been hearing. While tech giants continue pouring billions into AI infrastructure, many organizations are hitting a wall when it comes to actually implementing AI — particularly generative AI — in meaningful ways. Let's explore what the heck is going on.
Read MoreThe “State of AI” Report 2025
In today’s Five-Minute Friday episode, I’ll cover the five biggest takeaways from the 2025 edition of the renowned AI Index Report, which was published a few weeks ago by the Stanford University Institute for Human-Centered AI. Every year this popular report — often called the “State of AI” report — covers the biggest technical advances, new achievements in benchmarking, investment flowing into AI and more. Here’s a link to the colossal full report in the show notes; today’s episode will cover the five most essential items.
Read MoreIn Case You Missed It in April 2025
We had a record number of guests on my podcast in April — and they were spectacular! In today's "In Case You Missed It" episode, hear the best parts of my conversations with each of them.
The specific conversation highlights included in today's episode are:
Sama Bali from NVIDIA and Logan Lawler from Dell Technologies fill us in on the AI software stack on NVIDIA GPUs, including libraries like CUDA.
Continuing on the A.I. hardware topic, Emily Webber details Amazon Web Services (AWS)'s own A.I. accelerator chips.
Zerve AI's co-founder Dr. Greg Michaelson describes how data scientists can deploy A.I. models to production without needing to call on an engineering team.
Kai Beckmann, CEO of Merck KGaA's semiconductor business, describes intricate details of the semiconductors that make A.I. systems hum.
Finally, Shirish Gupta explains his "A-I-P-C" framework for finding out if you should be using edge compute for local A.I. inference instead of relying on cloud compute.
The SuperDataScience podcast is available on all major podcasting platforms, YouTube, and at SuperDataScience.com.
Model Context Protocol (MCP) and Why Everyone’s Talking About It
Today we're diving into Model Context Protocol, or MCP – the hot topic taking the AI world by storm in early 2025.
Read More40x Hotter Than the Sun: The ASML Machines That Make AI Chips
Today we're diving into something absolutely critical to the future of artificial intelligence that you might never have thought about before: the machines that make AI chips possible.
Read MoreManus, DeepSeek and China’s AI Boom
Today, we're diving into the fascinating AI boom that's been sweeping across China since early 2025, examining what this means for the global AI landscape and markets.
Read MoreIn Case You Missed It in March 2025
We had absolutely killer guests and killer conversations on my podcast in March. This isn't bluster; I learned a ton from Andriy, Richmond, Natalie and Varun... Today's episode features all the best highlights!
The specific conversation highlights included in today's episode are:
The mega-bestselling author of "The 100-Page Machine Learning Book" (and now "The 100-Page Language Models Book"!) Dr. Andriy Burkov on the missing piece of AGI: Why LLMs can't plan or self-reflect.
Relatedly, the fascinating and exceptionally well-spoken Natalie Monbiot contrasted artificial intelligence with the human variety, detailing what makes us unique.
The charismatic software engineer Richmond Alake (of MongoDB) explained his "A.I. Stack" concept and how you can leverage it to build better A.I. applications.
Former Google Gemini engineer Varun Godbole provides a helpful overview of guide to neural network design, the (freely available!) "Deep Learning Tuning Playbook".
The SuperDataScience podcast is available on all major podcasting platforms, YouTube, and at SuperDataScience.com.
Hugging Face’s smolagents: Agentic AI in Python Made Easy
Today, we’re diving into Hugging Face’s smolagents – a new development that gives AI models more autonomy. Hugging Face, the open-source AI powerhouse behind technologies like Transformers, has now turned its attention to AI agents – programs where AI models can plan and execute tasks on their own – and their latest library smolagents makes building these agents simpler than ever. In this short episode, I’ll break down what smolagents are, how they work, and why they’re a big deal for developers, businesses, and researchers alike.
Read MoreMicrosoft’s “Majorana 1” Chip Brings Quantum ML Closer
Microsoft’s Majorana 1 is a newly unveiled quantum computing chip that marks a major breakthrough in the quest for practical quantum computers. It’s the world’s first quantum processor built on a so-called Topological Core architecture – meaning it uses topological qubits (based on exotic Majorana particles that I’ll dig into more shortly) instead of the fragile qubits found in today’s machines. Microsoft believes this innovation could accelerate the timeline for solving real-world, industrial-scale problems with quantum computing from “decades” to just a few years.
Read MoreOpenAI’s “Deep Research”: Get Days of Human Work Done in Minutes
What does Deep Research do?
Read MoreIn Case You Missed It in February 2025
February was another insane month on my podcast. In addition to having stunning smiles, all four guests I hosted are fascinating, highly knowledgeable experts. Today's episode features highlights of my convos with them.
The specific conversation highlights included in today's episode are:
Professional-athlete-turned-data-engineer Colleen Fotsch on how DBT simplifies data modeling and documentation.
Engineer-turned-entrepreneur Vaibhav Gupta on the new programming language, BAML, he created for AI applications. He details how BAML will save you time and a considerable amount of money when calling LLM APIs.
Professor Frank Hutter on how TabPFN, the first deep learning approach to become the state of the art for modeling tabular data (i.e., the structured rows and columns of data that, until now, deep learning was feeble at modeling).
The ebullient Cal Al-Dhubaib on the keys to scaling (and selling!) a thriving data science consultancy.
The SuperDataScience podcast is available on all major podcasting platforms, YouTube, and at SuperDataScience.com.
Bringing Back Extinct Animals like the Wooly Mammoth and Dodo Bird
For this week’s Five-Minute Friday-style episode, I’m diving into a biotechnology story I found mind-blowing: bringing back extinct animals like the wooly mammoth and the dodo bird.
Read MoreIn Case You Missed It in January 2025
Happy Valentine's Day 💘 ! My high-calorie gift to you is today's episode, which features the best highlights from conversations I had with the (absolutely epic!) guests I hosted on my podcast in January.
The specific conversation highlights included in today's episode are:
Famed futurist Azeem Azhar on how to break your linear mindset to prepare for the exponential technological change that we are experiencing (and will experience even more rapidly in years to come).
Global quantum-computing expert Dr. Florian Neukart on practical, real-world applications of quantum computing today.
Kirill Eremenko and Hadelin de Ponteves — who have together taught over 5 million people data science — with their 12-step checklist for selecting an appropriate foundation model (e.g., large language model) for a given application.
Brooke Hopkins (former engineer at Waymo, now founder and CEO of Y Combinator-backed startup Coval) on why you should evaluate A.I. agents with reference-free metrics.
The SuperDataScience podcast is available on all major podcasting platforms, YouTube, and at SuperDataScience.com.
Are You The Account Executive We’re Looking For?
We’ve never done an episode like today’s… instead of covering a specific data science-related topic, in today’s episode I’m letting you know about a critical role that we’re hiring for on the SuperDataScience Podcast. Perhaps you are the person we’re looking for or you know the person we are looking for!
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