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 cataloguing and pipeline maintenance across enterprise environments. Acceldata utilizes multiple agents to solve enterprise-grade questions with company data. It also uses autonomous data pipelines that can detect and fix issues without human intervention, and the platform?s agentic data management system ADM also lets humans stay in the loop wherever needed.  This episode is brought to you by the ??Dell??, by ??Intel??, by Fabi and by Cisco. Additional materials: ?????????????????????????www.superdatascience.com/957?????? Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information. In this episode you will learn: (03:25) About Acceldata and xLake (15:03) Autonomous data pipelines (21:02) How and when to keep humans in the AI loop (27:43) How Acceldata solves ?data sprawl? (31:53) Habits of successful tech leaders

#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, most teams still struggle to turn early prototypes into secure and scalable products. With Salesforce?s Agentforce 360 Platform, users can build customer-focused agentic applications with a multi-LLM planner service for reasoning and logic, as well as a new scripting language for deterministic control over how agents interact with the contextual layer of the Salesforce data model. Learn how Salesforce?s WYSIWYG schema builder helps customers build fully functional applications with low- and pro-code capabilities, the common mistakes that innovators make when moving from prototype to production, and whether AI agents might replace non-agentic AI applications in this Feature Friday. Additional materials: ??????????????????????www.superdatascience.com/956??????? Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information.

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 predictions for 2025 played out. Hear Sadie?s five exciting predictions for 2026, from emerging jobs in AI to an important return to the drawing board! This episode is brought to you by the ??Dell??, by ??Intel??, by Fabi and by MongoDB. Additional materials: ????????????????????????www.superdatascience.com/955????? Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information. In this episode you will learn: (11:36) Recapping Sadie and Jon?s predictions for 2025                      (26:54) The SuperDataScience Awards in AI                                        (49:05) Prediction #1 for AI in 2026                                             (52:13) Prediction #2 for AI in 2026                         (53:33) Prediction #3 for AI in 2026 (57:54) Prediction #4 for AI in 2026                         (1:01:01) Prediction #5 for AI in 2026 

Jon Krohn wraps up 2025 with his thoughts on how agentic AI has become as much a resounding success as an annoying buzzword for many in the tech industry, why such promising developments in generative AI mean that well-prepared, secured data will be ever more crucial, and Jon?s hopes for a better year for everyone across the world in 2026.  Additional materials: ????????????????????www.superdatascience.com/954???????? Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information.

Dell Technologies? John Roese talks to Jon Krohn about the phenomenon of ?agent-washing?, his contribution to Dell?s incredible revenue boost in 2025, and why ?knowledge layers? will be crucial to future tech. Hear also John?s predictions for where AI is going to lead us in 2026, from better, clearer governance, data management methods and definitions for agentic AI, to systems that keep AI tools and our data running and secure with the help of ?AI factories? and ?sovereign AI?.  This episode is brought to you by MongoDB and by Y Carrot. Additional materials: ?????????????????????????www.superdatascience.com/953?????? Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information. In this episode you will learn: (01:31) John Roese?s predictions for AI in 2026 (11:28) How John increased ROI at Dell Technologies (18:59) John?s predictions for AI in 2026 (40:13) How Dell?s clients are using AI factories

?The Fit Data Scientist? newsletter author Pénélope Lafeuille talks to Jon Krohn about how to give your all at work, offering her top tips for a healthy body and a healthy mind. Learn why ?The SuperDataScience Podcast? made it onto her top 3 data science podcasts, and why following your passion can pay off in dividends for your career. Additional materials: ?????????????????????www.superdatascience.com/952?????? Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information.

VP of Engineering at Dropbox Josh Clemm speaks to Jon Krohn about consolidating search tools across apps with the AI-powered workspace, Dropbox Dash, the new collaborative AI systems that enhance interoperability between team members and their projects, and how to avoid ?context rot?. Dropbox Dash gives users the best of Dropbox?s cloud storage and search functions, plus a ?universal search? ability to locate information across multimedia and apps. ?AI really needs to understand you and your team, first and foremost, and all that connected data,? says Josh. This episode is brought to you by the ??Dell??, by ??Intel??, by Airia and by MongoDB. Additional materials: ???????????????????????www.superdatascience.com/951???? Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information. In this episode you will learn: (01:07) All about Dropbox Dash (10:00) The benefits of browser-embedded AI (22:17) Why context engineering is so critical to agentic systems  (37:51) How creating apps helps tech leadership  (48:39) When to decide to use data versus intuition

In this special holiday episode, the SuperDataScience Podcast team comes together to wish you happy holidays and thank you for listening throughout the year. Team members from around the world share warm greetings in their own voices and languages as we reflect on another year of learning, curiosity, and community. From all of us at SDS, we wish you a joyful holiday season and look forward to bringing you more data science, machine learning, and AI content in the year ahead. Additional materials: ???????????????????www.superdatascience.com/950??????? Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information.

Alex ?Sandy? Pentland, Toshiba Professor of Media Arts & Science at MIT and Fellow at Stanford, speaks to Jon Krohn about his new book, Shared Wisdom, why he attributes AI to the collapse of the Soviet Union, and why those risks to society could still be relevant today. We can only achieve better system performance, Alex says, when we build tools that keep step with the way that people make decisions. Listen to the episode to hear Alex talk about how he is helping make AI agents work for individuals rather than the companies that develop them, and his work in making sure that systems operate consistently and fairly across the world. This episode is brought to you by the? ????Dell???, by? ??Intel???, by ?Fabi?, and by ?Airia?. Additional materials: ??????????????????????????www.superdatascience.com/949?????? Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information. In this episode you will learn: (02:19) About Alex Pentland?s new book, Shared Wisdom                     (16:00) About loyalagents.org (28:36) Why we need data unions (34:02) The governance of AI (41:24) How to measure the social impact of AI projects

In this November episode of ?In Case You Missed It? series, Jon Krohn selects his favorite clips from the month. Hear from Shirish Gupta and Tyler Cox (Episode 939), Vikoy Pandey (Episode 941), Marc Dupuis (Episode 937), and Maya Ackerman (Episode 943) on getting back to human motivation and the importance of evaluating the tools and data we use.  Additional materials: ????????????????www.superdatascience.com/948????????? Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information.

Jeff Li tells Jon Krohn what it's like to work at scale as a data scientist and a machine learning engineer at Netflix, Spotify and DoorDash, as well as how to get a foot in the door at these companies. Jeff also discusses how to run forecasts and trends, and how to read their results. Listen to hear Jeff Li discuss how Spotify became a podcast powerhouse, his startup move.ai, and the tools he uses every day. This episode is brought to you by the ??Dell??, by ??Intel??, by Fabi, and by Airia. Additional materials: ?????????????????????????www.superdatascience.com/947????? Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information. In this episode you will learn: (09:05) Forecasting in data science                (23:33) How to get a data science job at Netflix     (30:06) Jeff?s experience on launching an AI startup      (51:57) Jeff?s AI toolkit                                  

Jon Krohn looks into the benefits of robotaxis, from safety to affordability, in this Five-Minute Friday. Hear about Waymo?s partnership with Jaguar Land Rover, the latest safety studies concerning driverless vehicles, and a case for robotaxis becoming the preferred method of transport in the US, where households spend roughly 15% of their budget on vehicle ownership. Additional materials: ??????????????????www.superdatascience.com/946?????? Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information.

Is there humor in data? Joel Beasley, host of Modern CTO, tells Jon Krohn how he used AI to turn his sights to stand-up comedy. He also shares his tips on tech leadership that he learned from his popular podcast, Modern CTO, and how he is using generative AI as a collaborative partner in his creative work. This episode is brought to you by the ??Dell??, by ??Intel??, by Fabi, and by Gurobi???. Additional materials: ????????????????????????www.superdatascience.com/945???? Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information. In this episode you will learn: (02:14) Joel Beasley on his comedy career (19:04) Applying the ?memory palace? technique (22:28) About The Modern CTO Podcast (36:24) Leadership advice from The Modern CTO

Google is steaming ahead with launching its top-league new Gemini 3 Pro model across their product suite, from Google Search to Vertex AI cloud services. The multinational tech company is also letting eager early adopters like Wayfair and GitHub. Get all the detailed data, its performance across hard-to-game industry benchmarks, and what this all means for the way you use generative AI, in this week?s episode. Additional materials: ?????????????????www.superdatascience.com/944??????????? Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information.

Creative human-AI partnerships and AI-generated music: WaveAI CEO and co-founder Maya Ackerman speaks with Jon Krohn about learning to see ? and accept ? AI?s potential as a creative partner in a human-centric, AI-forward future. Listen to the episode to hear Maya Ackerman discuss reframing hallucination as a creative force, her work at WaveAI, and how to push the boundaries of creativity using generative AI. This episode is brought to you by the ??Dell??, by ??Intel??, by Gurobi??? and by Airia. Additional materials: ???????????????????????www.superdatascience.com/943??? Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information. In this episode you will learn: (05:20) Maya?s challenge to anthropocentrism (19:26) How to compose music with AI (28:13) How to invest in creative empowerment (32:18) How to produce genuinely creative artworks through AI (44:58) The future of GenAI

What?s on the horizon for AI? Jon Krohn wades through opinions from more than experts, curated by the Longitudinal Expert AI Panel (LEAP), about what we can expect from the industry. From estimates on AI-assisted workers through energy consumption to AI performance in highly skilled domains, find out just how much LEAP thinkers believe AI is permeating our daily work and life in this Five-Minute Friday.  Additional materials: ????????????????www.superdatascience.com/942?????????? Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information.

Vijoy Pandey imagines a bold new society in which agents and humans make scientific discoveries and complete physical tasks together, and he tells Jon Krohn about his work at AGNTCY, Cisco?s open-source platform for the Internet of Agents. Listen to the episode to hear Vijoy Pandey talk about how a future society in which multi-agents and humans interact may be a real possibility, what TCP/IP is, how to find trustworthy AI agents, and how to get your hands on AGNTCY today! This episode is brought to you by the Dell?????????, by? ??Intel???, by ?Fabi? and by ?Gurobi????. Additional materials: ??????????????????????www.superdatascience.com/941??? Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information. In this episode you will learn: (02:37) All about AGNTCY                  (12:04) How an agent-human society might function (15:19) What an ?Internet of Agents? means (27:17) The future of access management (41:39) How to trust AI agents (48:49) How to get started with AGNTCY

Jon Krohn curates a selection of clips from the month that was. Hear from the orchestrators of an expanding AI universe in this episode of In Case You Missed It, with news, views and groundbreaking ideas from Sheamus McGovern, Jerry Yurchisin, Stephanie Hare, Larissa Schneider, and Adrian Kosowsky. We cover baby dragons, the Hippocratic Oath, and, of course, all the latest in artificial intelligence! Additional materials: ???????????????www.superdatascience.com/940????????? Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information.

State space models (SSMs), granite models, and Mamba: Dell?s Tyler Cox and Shirish Gupta discuss with Jon Krohn why state space models can process information so efficiently, and how Dell?s AI factory helps enterprises manage custom AI workloads. Hear the latest on the Dell Pro AI Studio and Dell?s partnerships with IBM and Hugging Face in this episode.  This episode is brought to you by the Trainium2, the latest AI chip from AWS and by Gurobi. Additional materials: ???????????????????????www.superdatascience.com/939? Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information. In this episode you will learn: (02:58) Dell Pro AI Studio news (23:17) How Dell manages interoperability (28:08) About the Dell/IBM granite models (47:38) How to troubleshoot AI tools (52:36) How Dell performs against benchmarks

Jon Krohn speaks to Rohan Kodialam, Cofounder and CEO of Sphinx, the company that redefines how machine intelligence reasons data with frontier AI. In this Feature Friday, Jon and Rohan discuss the benefits of using Sphinx to assist with data analysis. Get under the hood to learn how Sphinx operates, from running commands to ensuring your data stays secure, and find out how you can get your hands on this great tool for free. Additional materials: ????????????????????www.superdatascience.com/938????? Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information.

AI tools won?t eliminate but elevate data scientists, says Marc Dupuis. The CEO of fabi.ai talks to Jon Krohn about the new wave of AI-driven platforms that integrate workflows within popular work tools like Slack and email, and how building AI-first products means widening access to all ability levels.   This episode is brought to you by the Gurobi????, by ??Dell?? and by ??Intel. Additional materials: ??????????????????????www.superdatascience.com/937 Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information. In this episode you will learn: (09:31) Will fabi.ai outshine data science practitioners      (20:40) Resolving workflows with fabi.ai                             (24:08) Creating AI agents with fabi.ai                                    (45:23) How to avoid ?gaming? targets 

How much power ? and risk ? do we carry around with us in our pockets? A Reuters investigation about how easily LLMs can be utilized for online phishing scams is the subject of this week?s Five-Minute Friday with Jon Krohn. By asking six of the most popular LLMs (Grok, ChatGPT, Meta AI, Claude, DeepSeek and Gemini) to generate phishing emails specifically targeting elderly people, Reuters found the safety sometimes severely lacking in the models. Listen to the episode to hear Jon quantify this problem with real-world examples, why mere content warnings in LLM models don?t work, and the troubling results of the phishing requests. Additional materials: ???????????????www.superdatascience.com/936????????? Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information.

Jon Krohn speaks to researcher, broadcaster and author Stephanie Hare about how the Hippocratic Oath might apply to artificial intelligence, and a guiding ethos for pushing innovation while protecting users from harm. A code of conduct, she says, could be one approach to ensuring that people are using technology more mindfully and ethically, as well as an opportunity for users to feel that they belong to a wider, global community. Although she sympathizes with people concerned by overregulation undermining innovation, Stephanie also notes that we expect certain standards to be met elsewhere, such as vehicle and drug safety, as well as fair journalistic practices. As Stephanie explains, we need to find a realistic middle ground between innovation and regulation. This episode is brought to you by the ??Dell??, by ??Intel??, by Fabi and by Gurobi???. Additional materials: ?????????????????????www.superdatascience.com/935?? Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information. In this episode you will learn: (01:23) What ?technology ethics? is                (14:46) Developing a Hippocratic Oath for tech  (42:32) How to protect against sensationalism           (53:38) How to maintain a balance of growth and infrastructure

With the number of jobs dramatically slowing in the last year, many question if this decline is down to companies turning to AI for completing entry-level tasks in particular. Research published earlier this month by Yale University shows no major difference in the types of roles and tasks in so-called `white-collar jobs` since late 2022, an auspicious date that coincides with the launch of ChatGPT. In this week?s Five-Minute Friday, host Jon Krohn discusses if and when AI will undercut junior-level jobs, particularly in the US. Additional materials: ??????????????www.superdatascience.com/934???????? Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information.

Sheamus McGovern, CEO of Open Data Science, takes Jon Krohn and his listeners on a journey to launching his popular data science and AI conference, now in its tenth year, as well as the great shifts to the fields that he has seen on the way. For Seamus, the growth of his Open Data Science Conference has shown him that an AI engineer is just the beginning of several roles that will emerge from the industry. He asks Jon to consider the breadth of tasks demanded of today?s engineers, from data profiling and transformation to feature engineering, hyper-parameter tuning, and model deployments. Just as the AI engineer emerged from the data scientist role, Seamus expects the industry to respond to the broadening range of projects and tools with new, niche, and dynamic job roles.  This episode is brought to you by the Trainium2, the latest AI chip from AWS, by Gurobi??, by ?Dell? and by ?Intel?. Additional materials: ????????????????????www.superdatascience.com/933? Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information. In this episode you will learn: (02:50) Why Seamus started ODSC (18:27) The differences in AI engineers and data scientists      (24:20) How to keep up with AI?s rapid pace (33:51) How people hire for AI orchestration  (46:26) How companies can get team skillsets right   

Larissa Schneider speaks to Jon Krohn in this Feature Friday about finding the right time to invest in AI solutions, and when it?s better to build them yourself. She discusses her work leading global strategy and operations at Unframe, and how they raised $50 million in venture capital since the company?s launch in March 2025. Additional materials: ???????????????????www.superdatascience.com/932???? Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information.

AI predictions, and how to act on them: Data Science Strategist at Gurobi, Jerry Yurchisin, speaks to Jon Krohn about how mathematical optimization helps enterprises automate decisions for business success and where to find the resources to make it happen.   This episode is brought to you by the ?ODSC, the Open Data Science Conference, by Fabi, by ?Dell?, and by ?Intel?. Additional materials: ???????????????????www.superdatascience.com/931???? Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information. In this episode you will learn: (02:34) What mathematical optimization is (13:58) How to get started with mathematical optimization (45:56) Gurobi?s use cases (56:29) Quantum computing and mathematical optimization  

Jon Krohn?s highlights from this month of interviews focus on ways to future-proof your career, looking at the hardware that will get you the most mileage, the emerging roles that are well worth a look, and the developments in AI that will endure in a field constantly testing the durability of its own breakthroughs. Additional materials: ??????????????www.superdatascience.com/930???????? Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information.

Breaking news: Jon Krohn welcomes Adrian Kosowski to the show to talk about the groundbreaking research happening at Pathway. Adrian and his team demonstrate how they have brought attention in AI closer to the way the brain functions, creating, in essence, a ?massively parallel system of [artificial] neurons? that communicate with one another and exhibit properties similar to natural neurons. The goal is to move beyond the current limitations of transformers, where reasoning can be generalized across more complex and extended reasoning patterns, approximating a more human-like approach to problem-solving. This episode is brought to you by the Trainium2, the latest AI chip from AWS, by ?Dell?, by ?Intel?, by and ?Gurobi?. Additional materials: ??????????????????www.superdatascience.com/929??? Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information. In this episode you will learn: (01:27) Pathway?s ground-breaking new biologically inspired architecture (20:40) Limitless context windows (34:39) BDH architecture as positive space (53:11) Building multilingual models (1:01:07) How to access the BDH architecture

Prompt injections, malicious code, and AI agents: In this week?s Five-Minute Friday, Jon Krohn looks into the current security weaknesses found in AI systems. A structural vulnerability that The Economist dubs a ?lethal trifecta? could cause havoc for AI users, unless we take the necessary steps to contain our systems.  Additional materials: ?????????????www.superdatascience.com/928??????? Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information.

Earlier this year, David Loker joined CodeRabbit as their Director of AI. As more people come to write code with the help of large language models, David believes CodeRabbit will become a helpful assistant for code reviewing and pull requests. He tells Jon Krohn how CodeRabbit assists developers with real-time feedback, as well as the reality of vibe coding, the optimization challenges of agentic AI, and other pressing questions in AI and tech.  This episode is brought to you by the ?Dell?, by ?Intel?, by ?Gurobi? and by ?ODSC, the Open Data Science Conference?. Additional materials: ?????????????????www.superdatascience.com/927?? Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information. In this episode you will learn: (01:26) How CodeRabbit helps with coding    (17:30) Context engineering in context     (40:40) How CodeRabbit keeps data secure      (46:10) David?s thoughts on ?vibe coding?                              (1:03:04) If machines will ever be truly creative 

In this Five-Minute Friday, Jon Krohn explores how AI is reshaping the legal industry. He investigates how AI tools are helping lawyers make conclusions faster, how paralegals are being retrained, and the latest in-demand role in law (hint: It concerns AI). Listen to hear how Harvey AI and Thomson Reuters? CoCounsel are using AI to help lawyers get ahead. Additional materials: ????????????www.superdatascience.com/926?????? Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information.

Tech innovation?s dependence on economic systems, trust in technology throughout history, and job displacement through AI: The Dieter Schwartz Associate Professor of AI and work at the University of Oxford, Carl Benedikt Frey, talks to Jon Krohn about his latest book, How Progress Ends, as well as how different economic systems deal with innovation and scaling, dealing with the homogeneity of generative AI output, and how to stay afloat in the new wave of job automation. This episode is brought to you by the ?Dell?, by ?Intel?, by ?ODSC, the Open Data Science Conference? and by ?Gurobi?. Additional materials: ????????????????www.superdatascience.com/925????? Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information. In this episode you will learn: (04:00) All about How Progress Ends: Technology, Innovation, and the Fate of Nations (14:26) The role of weak ties in driving technological innovation (18:22) How to keep innovating as a big business (48:05) What we can learn and apply from previous industrial revolutions (54:33) How workers can try to ?future-proof? themselves

MIT lab NANDA (?Networked AI Agents in Decentralized Architecture?) reveals less than promising results for the future of AI adoption in businesses. According to ?The GenAI Divide: State of AI in Business 2025?, a whopping 95% of enterprise AI projects ?are getting zero return? on their $30-40 billion investment. Jon Krohn takes this Five-Minute Friday to look into why this has happened, with help from a critical response to the report written by Futuriom?s R. Scott Raynovich. Additional materials: ???????????www.superdatascience.com/924????? Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information.

Graphs, but not as you would expect them: Graph analytics guru Amy Hodler speaks to Jon Krohn about the graph data structure and graph applications, graph algorithms, graph RAG, and graphs as memory systems for AI agents. We can use graphs in a surprising number of ways. Money laundering and fraud, as well as supply-chain crime, leave breadcrumbs at multiple ?touch-points? over time, behaviors that graphs are better suited to reveal than rows and tables. Amy sees that most interest in graphs has been in the cybersecurity space. But this work isn?t only restricted to fighting crime! Listen to the episode to hear more case examples and how to get into graph work.  This episode is brought to you by the Dell, by the Intel, by ODSC, the Open Data Science Conference and by Gurobi. Additional materials: ???????????????www.superdatascience.com/923?????? Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information. In this episode you will learn: 01:49) A brief history of graphs (10:08) Uncovering fraud with graphs (28:31) Where graphs are most commonly applied, to date (34:49) Retrieval augmented generation graphs (48:04) The future of graphs

Hugo Dozois-Caouette speaks to Jon Krohn about his startup MaintainX and how he secured $254 million in venture capital, reaching a $2.5 billion valuation. MaintainX builds computerized maintenance management systems (CMMS) and enterprise asset management (EAM) software for industrial and manufacturing companies. This "digital clipboard" delivered through web and mobile apps connects machines, work orders, and frontline teams to boost productivity, reduce downtime, and prevent costly breakdowns. The platform captures knowledge from experienced workers and delivers AI-powered insights, with features like MaintainX CoPilot helping teams troubleshoot issues and make faster decisions. Listen to the episode to hear Hugo's perspective on manufacturing gaps that technology can fill, MaintainX's tech stack, and how CMMS platforms address information disconnects that slow down frontline teams. Additional materials: ???????????????www.superdatascience.com/922?????? Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information.

Using Windows for AI development and the bleeding edge of NPUs: Shirish Gupta and Ish Shah from Dell Technologies speak to Jon Krohn about the latest products from Dell, the future of neural-processing units (NPUs), and how AI developers can make sound hardware investments.  This episode is brought to you by the Trainium2, the latest AI chip from AWS, by ODSC, the Open Data Science Conference and by Gurobi. Additional materials: ??????????????www.superdatascience.com/921????? Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information. In this episode you will learn: (04:18) Why Windows still outranks other operating systems (20:58) The difference between GPUs and NPUs (32:44) How to access and use Dell?s NPUs and GPUs (49:08) Using processing units on the cloud versus locally (57:43) About the Dell Pro Max

This month?s episode of In Case You Missed It gives us reasons to be cautiously optimistic about the future of large language models (LLMs), with guests discussing what to do about recent reports that found AI agents blackmailed human users when threatened, the importance of post-training LLMs, and the training we have available for data and AI engineers to create robust, secure, and useful AI. Jon Krohn includes clips from his interviews with Akshay Agrawal (Episode 911), Julien Launay (Episode 913), Michelle Yi (Episode 915), and Kirill Eremenko (Episode 917).  Additional materials: ?????www.superdatascience.com/920? Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information.

PyTorch, AGI, and the future of alignment research: Aurélien Géron joins Jon Krohn in this live interview to talk about the fourth edition of his bestselling Hands-On Machine Learning as well as what superintelligence makes him hopeful for, as well as what concerns him about machines surpassing human intelligence. This episode is brought to you by Gurobi and by the Dell AI Factory with NVIDIA? Additional materials: ?????????????www.superdatascience.com/919??????? Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information. In this episode you will learn: (02:04) Why Aurélien wrote Hands-On Machine Learning        (20:54) How Aurélien came to decide on material for the new edition  (28:53) Aurélien?s predictions for AGI                                       (51:21) How to support alignment research                    (1:13:42) Does superintelligence mean super-capability         

In this Five-Minute Friday, Jon Krohn introduces listeners to CrewAI, an open-source Python framework that can create and manage multi-agent teams. The clue is in the title: CrewAI assembles specialized agents into single ?crews? that achieve complex goals between them. CrewAI?s agent teams can also learn and iterate, meaning that after the crew has achieved its goals for the first time, they can refine and tailor their approach to  future goals.  Additional materials: ??????????www.superdatascience.com/918???? Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information.

Founder of SuperDataScience, Kirill Eremenko, talks to Jon Krohn about how he found the best tools and approaches to help launch his 8-week AI engineering bootcamp. He breaks down the topics participants cover each week, and he also shares his tips with listeners who might want to start their own tech bootcamp or sign up for SuperDataScience?s September 2025 cohort. This episode is brought to you by the Dell AI Factory with NVIDIA and by ODSC, the Open Data Science Conference Additional materials: ????????????www.superdatascience.com/917?????? Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information. In this episode you will learn: (10:58) Weeks 1-4 of the SuperDataScience bootcamp             (37:52) How to use AI to drive the bottom line in business                    (47:50) Weeks 5-8 of the SuperDataScience bootcamp (54:50) How to convert LLMs to agents (1:09:33) Jon?s feedback on the SuperDataSciencebootcamp    

GPT-5 has just been released, but with not very much fanfare. In this Five-Minute Friday, Jon Krohn asks if GPT-5 deserves the community?s underwhelmed response to its release. He outlines five features of the model and explains why people might be feeling less than enthusiastic in the broader context of LLM development. Which LLMs are leading the way, and which are still playing the game of catch-up? Additional materials: ?????????www.superdatascience.com/916??? Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information.

Tech leader, investor, and Generationship cofounder Michelle Yi talks to Jon Krohn about finding ways to trust and secure AI systems, the methods that hackers use to jailbreak code, and what users can do to build their own trustworthy AI systems. Learn all about ?red teaming? and how tech teams can handle other key technical terms like data poisoning, prompt stealing, jailbreaking and slop squatting.  This episode is brought to you by ?Trainium2, the latest AI chip from AWS? and by the ?Dell AI Factory with NVIDIA?. Additional materials: ???????????www.superdatascience.com/915????? Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information. In this episode you will learn: (03:31) What ?trustworthy AI? means      (31:15) How to build trustworthy AI systems  (46:55) About Michelle?s ?sorry bench?   (48:13) How LLMs help construct causal graphs   (51:45) About Generationship 

In this Five-Minute Friday, Cofounder and CTO of lakeFS Oz Katz talks to Jon Krohn about data warehouses, data lakes, and how companies can handle increasingly complex data infrastructures and formats. Hear about lakeFS?s collaboration with Legofest, lakeFS?s approach to helping users collaborate on data lakes, and how to overcome the challenges of working with multimodal data. Additional materials: ?www.superdatascience.com/914? This episode is brought to you by the ?Dell AI Factory with NVIDIA?.

Julien Launay launched Adaptive to give data science teams in business enterprises their ?RLOps tooling? to make reinforcement learning easier. Talking to Jon Krohn, Julien says, ?Most of our users are data scientists who write Python codes to interface with the system?. Adaptive is also able to work with companies without data science teams, collaborating with partners like Deloitte to add the necessary personnel. Julien is currently working on making his platform more widely available. Additional materials: ?????????www.superdatascience.com/913??? Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information.

In this episode of In Case You Missed It, we look back on five great interview episodes from July. Hear from Lilith Bat-Leah (Episode 901), Sinan Ozdemir (Episode 903), Sebastian Gehrmann (Episode 905), Zohar Bronfman (Episode 907) and Robert Ness (Episode 909). They?ll tell you why data-centric machine learning is so important across disciplines, starting with law, and how we can use AI benchmarks and ?red teaming? to refine our search for the best AI models.  Additional materials: ????www.superdatascience.com/912 Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information.

Reproducibility, Python notebooks, and data science communities: Software developer Akshay Agrawal speaks to Jon Krohn about Marimo, the next-generation computational notebook for Python, how he built and fostered a thriving community around the product, and what makes this notebook so versatile and accessible for users.  Additional materials: ?????????www.superdatascience.com/911????? This episode is brought to you by ?Trainium2, the latest AI chip from AWS ?and by the ?Dell AI Factory with NVIDIA?. Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information.

In this Five-Minute Friday, Jon Krohn looks into AI?s disruption of the journalism industry and how it has fundamentally reshaped news production. Multiple news outlets? suing of ChatGPT over its use of copyrighted materials may have taken the most headlines to date, but this isn?t to say news media is rebuffing AI entirely. On the contrary, several outlets have launched summarization and analysis tools for both internal and external use, such as The New York Times?s Echo and The Washington Post?s Haystacker. This episode looks into the ways major news outlets are utilising AI, and what this means for journalists. Additional materials: ????????www.superdatascience.com/910?? Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information.

Researcher at Microsoft Robert Usazuwa Ness talks to Jon Krohn about how to achieve causality in AI with correlation-based learning, the right libraries, and handling statistical inference. When dealing with causal AI, Robert notes how important it is to keep aware of variables in the data that may mislead us and force inaccurate assumptions. Not all variables will be useful. It is essential, then, that any assumptions are grounded in a deeper understanding of how the data were gathered, and not what appears in the dataset. Listen to the episode to hear how you can apply causal AI to your projects. Additional materials: ????????www.superdatascience.com/907???? This episode is brought to you by Trainium2, the latest AI chip from AWS and by the Dell AI Factory with NVIDIA. Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information.

The moral and ethical implications of letting AI take the wheel in business, as revealed by Anthropic: Jon Krohn looks into Anthropic?s latest research on how to use and deploy LLMs safely, specifically in business environments. The team designed scenarios to test the behavior of AI agents when given a goal and a set of obstacles to reach it. Those obstacles included 1) threats to the AI?s continued operation, and 2) conflict between the AI?s goals and the goals of the company. Hear Jon break down the results of this research in this Five-Minute Friday. Additional materials: ???????www.superdatascience.com/908? Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information.