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.
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Filtering by Tag: SuperDataScience
Manus, 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 MoreHow AI is Transforming Baseball (with Lessons For All of Us)
Baseball has always been a game of numbers. For decades, teams have pored over stats like batting averages and ERAs to gain an edge. But in recent years, artificial intelligence has taken baseball analytics to new heights. In today’s episode, we’ll explore how AI is revolutionizing baseball – from scouting and player performance to in-game strategy and even fan experience – and what that means for the future of sports and other industries.
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 MoreOpenAI’s o3-mini: SOTA reasoning and exponentially cheaper
Today’s episode will fill you in on everything you need to know about an important model OpenAI recently released to the public called o3-mini.
Read MoreAre 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!
Read MoreHappy Holidays from the SuperDataScience Podcast
2024 was unquestionably the fastest-moving year yet for A.I. innovation. In particular, we witnessed the meteoric rise of generative AI from its largely-proof-of-concept phase to being commercially indispensable. According to survey results, nearly two-thirds of organizations are now regularly using generative A.I. – a number that has almost doubled since a year earlier. From enhancing product development to facilitating medical breakthroughs, generative AI has become a cornerstone of innovation across industries. For those of who practice data science hands-on, GenAI has proved itself to be near-magical at composing functional code and debugging our errors.
Indeed, as we’ll discuss in detail in next Tuesday’s episode with Sadie St. Lawrence, this year GenAI models crossed reliability and accuracy thresholds, enabling it to power independently acting AI agents, even multi-agent systems that can tackle complex tasks without human supervision. 2025 looks set to be the year Agentic AI takes center stage, the next phase in A.I. transforming every industry and overhauling our way of life; if we get the tricky parts right, then for the better for all of us on this planet.
I hope you’ve enjoyed our exploration of these developments (and much more!) in depth over the course of the year through our podcast episodes, allowing you to hear directly from leading experts and practitioners like Andrew Ng, Bernard Marr and Sol Rashidi. Our discussions have covered a wide range of topics, from the industrialization of data science processes to the ethical considerations surrounding AI implementation.
Through exploring the tricky bits like ethics and equity alongside the breathtaking technological breakthroughs, I hope that overall we’ve left you feeling optimistic about our capacity as a species to get this tech revolution right and have it benefit all of us. This holiday season, I hope you’ll also be able to sit with these positive vibes, get some time away from your screened devices and enjoy the wonder of life — including how lucky we are to be alive at this extraordinary time in history — with your loved ones.
From all of us here at the SuperDataScience Podcast, happy holidays!
The SuperDataScience podcast is available on all major podcasting platforms, YouTube, and at SuperDataScience.com.
Making Enterprise Data Ready for AI, with Anu Jain and Mahesh Kumar
Today's episode features execs (from fast-growing, VC-backed A.I. startups) Anu Jain and Mahesh Kumar elucidating how enterprises can prepare and manage their data for powerful A.I. applications.
In a bit more detail, today's guests are:
• Anu Jain — CEO of Nexus Cognitive.
• Mahesh Kumar — CMO (with an engineering background and he still writes code!) of Acceldata.
This episode was filmed live at Insight Partners' ScaleUp:AI conference in New York last month.
The episode features highlights of a session I hosted at ScaleUp:AI on "Managing Data to Embrace an A.I.-First Mindset for Enterprises”. It should be interesting to folks looking to make A.I. implementations effective in large organizations that have lots of data.
In the episode, Anu and Mahesh detail:
• How a tiny data error can lead to millions of dollars in losses for an enterprise.
• Why data storage isn't a major cost driver anymore (and what is!)
• What the heck data governance actually is and why it matters.
The SuperDataScience podcast is available on all major podcasting platforms, YouTube, and at SuperDataScience.com.
In Case You Missed It in November 2024
We had a ton of laughs and I had some seriously mind-expanding moments thanks to my guests on the SuperDataScience Podcast last month. ICYMI, today's episode highlights the most riveting moments from November.
The specific conversation highlights included in today's episode are:
Deepali Vyas, Global Head of Data and A.I. at executive-search giant Korn Ferry, on how A.I. is transforming recruitment and how job-seekers can stay ahead of the curve.
Jess Ramos, data analyst and leading content creator on data careers, on where to start if you yourself are seeking a career in data.
Bryan McCann, co-founder and CTO of the rapidly-scaling A.I. platform You.com, on why machines will make much better scientists than humans... and how they will surpass human scientists surprisingly soon.
Martin Goodson, CEO of the prestigious British A.I. firm Evolution AI, on how the public figures who are speaking most loudly about A.I. are probably not the people we should be listening to.
The SuperDataScience podcast is available on all major podcasting platforms, YouTube, and at SuperDataScience.com.
Delicate Viticultural Robotics
I’ve been excited all year this year about the potential for AI to revolutionize agricultural robotics and help us feed the planet with high-quality nutrition. So, I’m jazzed today to be digging into an innovative application of computer vision and robotics in agriculture, specifically in viticulture — the delicate cultivation of super-expensive grapes for making wine. And, yeah, wine may not provide the world with high-quality nutrition, but the same technologies developed for delicate wine grapes will be transferrable to other plants as well.
Read MoreIn Case You Missed It in August 2024
We had a slew of eye-opening conversations in August on the SuperDataScience Podcast I host. ICYMI, today's episode highlights the most fascinating moments from my convos with them.
Specifically, conversation highlights include:
1. ChainML's Head of A.I. Education Shingai Manjengwa on how multiple, individual A.I. agents can come together to perform complex actions.
2. Renowned futurist and entrepreneur Dr. Daniel Hulme on how A.I. can help us become better and faster at our jobs by circumventing the traditional corporate hierarchies that today seem only to slow us down.
3. Mathematical-optimization guru Jerome Yurchisin (of Gurobi Optimization) on how continuing education will be vital in our increasingly automated work environment... and how this education will be streamlined by A.I.
4. Nick Elprin, Co-Founder and CEO of the wildly successful Domino Data Lab, on why it's essential for enterprises to clearly define their A.I. infrastructure in order for their A.I. deployments to prosper.
Check out today's episode (#818) to hear all these eye-opening conversations. The "Super Data Science Podcast with Jon Krohn" is available on all major podcasting platforms and a video version is on YouTube.
The SuperDataScience podcast is available on all major podcasting platforms, YouTube, and at SuperDataScience.com.
The AI Scientist: Towards Fully Automated, Open-Ended Scientific Discovery
A team of researchers from Sakana AI, a Japanese AI startup founded last year by Google alumni and that reportedly was valued at over a $1 billion in June, this week published a paper titled "The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery" that is making big waves and could revolutionize how we conduct scientific research.
Read MoreLlama 3.1 405B: The First Open-Source Frontier LLM
Meta releasing its giant (405-billion parameter) Llama 3.1 model is a game-changer: For the first time, an "open-source" LLM competes at the frontier (against proprietary models GPT-4o and Claude).
Read MoreA Transformative Century of Technological Progress, with Annie P.
For today's special episode (#800), I learned from my 94-year-old grandmother the tricks to living before electricity or running water... and how the wild tech transformation of the past century has impacted her.
In a bit more detail, in this episode, Annie covers:
What work and life were like growing up on a farm with no electricity or running water.
How education, communication, security, entertainment and food storage have evolved over her lifetime.
Similarities between geopolitical events in the 1930s and events transpiring today.
The SuperDataScience podcast is available on all major podcasting platforms, YouTube, and at SuperDataScience.com.
Earth’s Coming Population Collapse and How AI Can Help, with Simon Kuestenmacher
Worried about overpopulation? Excessive immigration? In today's episode, demographer Simon Kuestenmacher reveals the data on why we should be more concerned about the opposite: the coming global-population collapse.
Simon:
• Is Co-Founder and Director of The Demographics Group, a firm that provides advice on demographic data to businesses and governments.
• Writes a regular column on demographics for The Australian, the antipodean country’s most widely-read newspaper.
• He holds a Master’s in Urban Geography from the University of Melbourne.
Today’s episode should be of great interest to anyone! In it, Simon details:
• Why demography is the closest thing we have to a crystal ball.
• Why the world is at a greater risk of underpopulation than overpopulation by humans this century.
• How, in less than a decade, developed nations that depend on migrants to prevent their populations from declining will run out of immigrants.
• How A.I. and automation may solve both the coming low-migration crisis and the later global underpopulation crisis.
• The implications of vastly life-extending healthcare breakthroughs.
• What you can do in your career to prepare for the coming demographic and technological shifts.
The SuperDataScience podcast is available on all major podcasting platforms, YouTube, and at SuperDataScience.com.
Math, Quantum ML and Language Embeddings, with Dr. Luis Serrano
Today, Dr. Luis Serrano (a master at making complex math and ML topics friendly) leads a mind-expanding discussion on embeddings in LLMs, Quantum ML and what the next big trends in A.I. will be. I wouldn't miss this one 🤯
Luis:
• Is the beloved creator behind the Serrano Academy, an educational YouTube channel on math and ML with over 146,000 subscribers.
• Until this month, he worked as Head of Developer Relations at Cohere, one of the world’s few A.I. labs that is actually at the frontier of LLMs.
• Prior to that, he was a Quantum A.I. Research Scientist at Zapata Computing, Lead A.I. Educator at Apple, Head of Content for A.I. at Udacity and ML Engineer at Google.
• Holds a PhD in Math from the University of Michigan.
Today’s episode should be appealing to just about anyone! In it, Luis details:
• How supposedly complex topics like math and A.I. can be made easy to understand.
• How Cohere’s focus on enterprise use cases for LLMs has led it to specialize in embeddings, the most important component of LLMs.
• The promising application areas for Quantum Machine Learning.
• What the next big trends in A.I. will be.
The SuperDataScience podcast is available on all major podcasting platforms, YouTube, and at SuperDataScience.com.
Deep Utopia: AI Could Solve All Human Problems in Our Lifetime
Today’s episode focuses on Nick Bostrom's latest book, Deep Utopia. Published a couple of weeks ago, it delves into the possibilities of a future where artificial intelligence has solved humanity's deepest problems.
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