Powered by RND
PodcastsTechnologyThe Derby Mill Series

The Derby Mill Series

Intrepid Growth Partners
The Derby Mill Series
Latest episode

Available Episodes

5 of 13
  • Hospital Care (The Derby Mill Series ep 12)
    Hospitals in jurisdictions around the world face tight budgets and staff shortages. Artisight offers an AI-powered suite of software services designed to help hospitals do more with the limited resources they have available. Based in Chicago and led by a medical doctor who also has an MBA, Dr. Andrew Gostine, Artisight’s mission is to improve quality metrics and financial outcomes with the help of computer vision, IoT sensors and vital-sign monitoring. For example, one hospital system that used Artisight’s technology, Northwestern Medicine, saw a 52% reduction in nursing overtime and a 76% reduction in nursing turnover alongside improved nursing and patient satisfaction scores. At the start of 2024, Artisight announced that it raised US$42 million in a funding round that was oversubscribed by 2.4x and included NVIDIA as an investor.On the agenda in today’s discussion: What’s the potential for AI-enabled healthcare administration? How can AI be of assistance to the healthcare industry? What can be done to increase efficiency in the near term, and where does the technology go at the limit? The Derby Mill team talks to Artisight CEO and co-founder Dr. Andrew Gostine, and chief science officer and co-founder Tim Koby, to discuss the future of healthcare.GUESTS AND HOSTSDr. Andrew Gostine, Co-Founder & Chief Executive Officer, ArtisightTim Koby, Co-Founder & Chief Science Officer, ArtisightAjay Agrawal, co-founder and partner, Intrepid Growth PartnersNiamh Gavin, senior advisor, Intrepid Growth Partners, Applied AI scientist, CEO, Emergent PlatformsLINKSDerby Mill show websiteArtisight’s website, explainer videoLearn more about Artisight’s Series B funding roundBe sure to catch every episode of The Derby Mill Series by subscribing on the following platforms:YouTube // Spotify // Apple Podcasts DISCUSSION POINTS00:00 Introduction01:07 Meet the Artisight team02:00 Core value of Artisight03:44 Sensor suite: What data is collected05:42 Artisight’s top 3 AI predictions09:39 Why fall prevention matters most16:12 AI in hospital care—why now?24:05 Raising the ceiling in healthcare25:47 Improving models without moving data30:19 Smarter AI vs. smartest doctor?40:14 Are there limits to trusting AI?44:54 Numbers that prove AI trust51:01 Next big AI-driven interventions55:05 Rewards for in-hospital problem-solving59:57 AI vs. human default in hospital care01:09:35 Final remarksNUGGETSNugget 1 - Using AI to Maximize Hospital CareAI can now recognize procedures like IV insertions without staff saying a word, thanks to AI using voices as a timestamp and training computer vision with synthetic images.Nugget 2 - "Why now?" How Real-World Problems Held AI Back Until TodayFor years, AI has promised to transform healthcare. So why is it only working now? Emergent Platform CEO Niamh Gavin uses her healthcare expertise to describe the real-world hurdles that held earlier AI solutions back. Artisight CEO and co-founder, Dr. Andrew Gostine, explains the innovation that was needed to reach the quality of AI and get it to where it is today.Nugget 3 - Stopping Sepsis Before It StartsAI could predict sepsis up to 18 hours before it strikes—early enough that patients may never meet the clinical criteria at all. Artisight CEO and co-founder Dr. Andrew Gostine explains how predictive intelligence is transforming preventative care, and why fall prevention was just the beginning.DISCLAIMERThe content of this podcast is for informational and educational purposes only and should not be construed as marketing, solicitation, or an offer to buy or sell any securities or investments. The opinions expressed in this video are those of the participants and do not necessarily reflect the views of Intrepid Growth Partners or its affiliates. Any discussion of specific companies, technologies, or industries is for illustrative purposes and does not constitute investment advice. Viewers are encouraged to consult with their own financial, legal, and tax advisors before making any investment decisions. This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit insights.intrepidgp.com
    --------  
    1:14:16
  • Digital Advertising (The Derby Mill Series ep 11)
    StackAdapt is an advertising platform that leverages AI to optimize digital ad campaigns across multiple channels, including display, video, native, and connected TV. With an auction system, it evaluates millions of ad opportunities each second using predictive analytics to maximize ROI and enhance audience targeting. By integrating customer data and providing privacy-conscious, scalable solutions, StackAdapt provides advertisers with data-driven insights and automated ad placement. So how can AI enhance discovery and shape awareness of digital advertising solutions that people may not yet realize they need? And what reward systems might be most effective for RL in optimising ad campaigns? The Derby Mill team talks to StackAdapt CTO and co-founder Yang Han to discuss potential answers. GUESTS AND HOSTSYang Han, CTO and co-founder, StackAdaptAjay Agrawal, co-founder and partner, Intrepid Growth PartnersRichard Sutton, senior advisor, Intrepid Growth Partners, 2024 Turing Award recipient, pioneer of reinforcement learning and professor, University of AlbertaSendhil Mullainathan, senior advisor, Intrepid Growth Partners, MacArthur Genius grant recipient and professor, MITNiamh Gavin, senior advisor, Intrepid Growth Partners, Applied AI scientist, CEO, Emergent PlatformsLINKSDerby Mill show websiteStackAdapt’s website and explainer videoRead Rich Sutton’s latest paper Welcome to the Era of ExperienceRich Sutton’s home page. Follow Rich on XSendhil Mullainathan’s website. Follow Sendhil on XBe sure to catch every episode of The Derby Mill Series by subscribing on the following platforms:YouTube // Spotify // Apple Podcasts DISCUSSION POINTS 00:00 Introduction02:00 Welcome, Yang Han, CTO and Co-Founder of StackAdapt02:45 How advertising on StackAdapt works09:10 How StackAdapt thinks about ROI11:30 Yang on ad competition and who gets the credit.13:55 Niamh on what StackAdapt will look like at the limit.18:23 Sendhil on how we can surface decision-making in advertising.24:20 Rich on the advantages of assistance-based shopping.29:13 Becoming customer-focused with the rise of AI31:53 What executives lack when perfecting the matching problem.26:47 What’s one thing investors should pay attention to in this industry? Nugget 01 - Alternative Customer-First Business ModelNugget 02 - Educating Customers with Personalized AdsNugget 03 - Disrupting the Ad Market with Agent DiscoveryDISCLAIMERIntrepid GP is an investor in StackAdapt. The content of this podcast is for informational and educational purposes only and should not be construed as marketing, solicitation, or an offer to buy or sell any securities or investments. The opinions expressed in this video are those of the participants and do not necessarily reflect the views of Intrepid Growth Partners or its affiliates. Any discussion of specific companies, technologies, or industries is for illustrative purposes and does not constitute investment advice. Viewers are encouraged to consult with their own financial, legal, and tax advisors before making any investment decisions. This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit insights.intrepidgp.com
    --------  
    41:46
  • Welcome to the Era of Experience (The Derby Mill Series ep 10)
    Derby Mill co-host Richard Sutton and his former student, David Silver, recently published a paper about the future of artificial intelligence, called Welcome to the Era of Experience. So in this episode the show’s other hosts—Ajay Agrawal, Sendhil Mullainathan and Niamh Gavin—take their chance to interview Rich about the essay, and provide their take on its implications.Today’s large language models (LLMs) are trained on human-generated data. So far, this has led to the development of incredible capabilities, such as mastering complex games like backgammon or chess, or absorbing content created by humans and creating fascinating new iterations of art.While the evolution of LLMs—from AlphaZero (2017) to ChatGPT (2022) to DeepSeek (2025) and beyond—can make it seem as though their possibilities are endless, the agents remain constrained by the scope of the data they are given. In the paper, Silver and Sutton write that “in key domains such as mathematics, coding, and science, the knowledge extracted from human data is rapidly approaching a limit.” Consequently, AI agents will have to be trained on other data, such as their own experiences, which could lead to rapid innovation and superhuman capabilities—a time period which Silver and Sutton refer to as the “age of experience.”This episode, a roundtable discussion, focuses on the following quotes pulled from the paper:* Why now? "This will become possible, as outlined above, when agents are able to autonomously act and observe in streams of real-world experience, and where the rewards may be flexibly connected to any of an abundance of grounded, real-world signals."* Why science? "Perhaps most transformative will be the acceleration of scientific discovery."* Human-like vs superhuman AIs. "This era of experience will likely be characterised by agents and environments that, in addition to learning from vast quantities of experiential data, will break through the limitations of human-centric AI systems... Furthermore, the pursuit of this agenda by the AI community will spur new innovations in these directions that rapidly progress AI towards truly superhuman agents.”GUESTS AND HOSTSAjay Agrawal, co-founder and partner, Intrepid Growth PartnersRichard Sutton, senior advisor, Intrepid Growth Partners, 2024 Turing Award recipient, pioneer of reinforcement learning and professor, University of AlbertaSendhil Mullainathan, senior advisor, Intrepid Growth Partners, MacArthur Genius grant recipient and professor, MITNiamh Gavin, senior advisor, Intrepid Growth Partners, Applied AI scientist, CEO, Emergent PlatformsLINKSDerby Mill show websiteRead Rich Sutton’s latest paper Welcome to the Era of ExperienceRich Sutton’s 2019 paper The Bitter LessonCo-founder of OpenAI, Ilya Sutskever, says AI reasoning power will become less predictableListen to our previous episode about DeepSeekCheck out co-author David Silver’s websiteRich Sutton’s home page. Follow Rich on XSendhil Mullainathan’s website. Follow Sendhil on XBe sure to catch every episode of The Derby Mill Series by subscribing on the following platforms: YouTube // Spotify // Apple Podcasts DISCUSSION POINTS00:00 Introduction01:34 Context about the paper02:56 Chronology of AI paradigms03:10 Why now?06:09 Niamh’s chronology of AI development14:10 Why science?20:36 Sendhil on scientific research and AI27:07 Grounded vs. ungrounded rewards29:21 Rich on RL temporal difference errors31:10 Human-like vs. superhuman AIs36:40 Final commentsNugget 01 - AI for Scientific DiscoveryNugget 02 - Is Science like RL?Nugget 03 - The Value of ExperienceDISCLAIMERThe content of this podcast is for informational and educational purposes only and should not be construed as marketing, solicitation, or an offer to buy or sell any securities or investments. The opinions expressed in this video are those of the participants and do not necessarily reflect the views of Intrepid Growth Partners or its affiliates. Any discussion of specific companies, technologies, or industries is for illustrative purposes and does not constitute investment advice. Viewers are encouraged to consult with their own financial, legal, and tax advisors before making any investment decisions. This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit insights.intrepidgp.com
    --------  
    39:27
  • Cancer Detection (The Derby Mill Series ep 09)
    Skin Analytics is a UK company using AI to automate the diagnosis of serious skin conditions, starting with skin cancer. Its core product, DERM, is the only Class III CE mark AI medical device for autonomous dermatology in the UK’s health system. Used on more than 150,000 real-world patients, DERM achieves 99.8% negative predictive value, outperforming dermatologists. The company is expanding into general dermatology and launching in the EU and US.In the future, Skin Analytics intends to create a dermatology AI platform that is able to diagnose and treat a broader range of conditions. Based on a diverse sampling of low-cost data, the company intends its platform to transition from self-supervised to unsupervised learning, enabling ubiquitous, low-friction health monitoring.This episode features the Intrepid team exploring such questions as:* What would it take to build healthcare around AI abundance, not human bottlenecks?* How might one frame an approach to reach 99% automation in dermatological triage?* What are the tradeoffs between sensitivity, specificity, and health system efficiency?* How could reward systems (RL or pathway-based optimization) be introduced?* What’s the potential of self-supervised learning across multiple medical modalities?GUESTS AND HOSTSNeil Daly, founder and director, Skin AnalyticsJack Greenhalgh, AI director, Skin AnalyticsAjay Agrawal, co-founder and partner, Intrepid Growth PartnersRichard Sutton, senior advisor, Intrepid Growth Partners, 2024 Turing Award recipient, pioneer of reinforcement learning and professor, University of AlbertaSendhil Mullainathan, senior advisor, Intrepid Growth Partners, MacArthur Genius grant recipient and professor, MITNiamh Gavin, senior advisor, Intrepid Growth Partners, Applied AI scientist, CEO, Emergent PlatformsLINKSDerby Mill show website: insights.intrepidgp.com/podcastSkin Analytics website and explainer videoRich Sutton’s home page. Follow Rich on XSendhil Mullainathan’s website. Follow Sendhil on XBe sure to catch every episode of The Derby Mill Series by subscribing on the following platforms: YouTube // Spotify // Apple Podcasts DISCUSSION POINTS00:00 Introduction01:24 Meet the team: Skin Analytics06:12 The lead-up to image recognition10:29 Patient drop-off post-referral14:03 Getting classification right18:47 Integrating into the healthcare system22:36 Cancer detection in the limit27:55 At-home cancer detection34:10 Making dermatology RL-able45:00 Using data as proxies for other diagnoses50:21 Early detection vs. overdiagnosis55:07 Higher rates of cancer detection advantages57:00 What took so long?59:07 Final remarksNugget 01 - Sensors Reveal Hidden Data in the SkinTraditionally, dermatology has been rate-limited by the human eye and optical sensors. So incorporating a variety of additional sensors to collect more diverse and comprehensive data can open the door to a new kind of pre-primary care, potentially revealing more information about internal conditions like hypertension or liver disease.Nugget 02 - The Economic Model Behind At-Home DiagnosesThere's a massive direct-to-consumer interest in skin health, which opens the door to a potential expansion of at-home skin-monitoring apps that could be used beyond only in primary care settings. But overdiagnoses risk overwhelming the healthcare system. In order to avoid case buildup, these apps require an economic model that leverages medical systems and consumer trust.Nugget 03 - Redesigning the Treatment DelayWhat prevents people from accessing treatment is not the diagnostic delay (which often involves a lengthy wait for results), but rather the delay in seeking help: People tend to wait for a reason to address an issue, which increases the risk of lowering the survival rate as a disease spreads.DISCLAIMERIntrepid GP is an investor in Skin Analytics. The content of this podcast is for informational and educational purposes only and should not be construed as marketing, solicitation, or an offer to buy or sell any securities or investments. The opinions expressed in this video are those of the participants and do not necessarily reflect the views of Intrepid Growth Partners or its affiliates. Any discussion of specific companies, technologies, or industries is for illustrative purposes and does not constitute investment advice. Viewers are encouraged to consult with their own financial, legal, and tax advisors before making any investment decisions. This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit insights.intrepidgp.com
    --------  
    1:02:00
  • Customer Support Unpacked (The Derby Mill Series ep 08)
    In this unpacked episode, the team further expands its discussion of themes that came up in episode seven, which explored the automation of customer support with artificial intelligence. Our guests in that episode were a duo that is leading efforts in that space: CEO Mike Murchison and chief product and technology officer Mike Gozzo from Ada.In this episode, Intrepid Growth Partners cofounder and partner Ajay Agrawal leads the discussion with Intrepid Senior Advisors Rich Sutton (Turing Award winner), Sendhil Mullainathan (MacArthur genius grant recipient) and Niamh Gavin (CEO, Emergent Platforms).In the previous episode, we learned that Ada’s north star is “percent automated resolutions”, or the percentage of customer inquiries that are fully resolved by AI without human intervention. One challenge is that Ada relies on large language models (LLMs) rather than action-based goals, often requiring human agents to step in when confidence is low.“It’s a mistake to think that [Ada’s AI agents] have goals,” says Sutton. ”What we have instead … is we have [AI agents] mimicking people.”All of which raises the question of how customer support will evolve as this technology advances towards the limit.Our team also debates the need for clear, objective measures of AI performance and the challenges of achieving true goal-oriented AI systems.Our panel of experts:Ajay Agrawal, co-founder and partner, Intrepid Growth PartnersRichard Sutton, 2024 Turing Award recipient, pioneer of reinforcement learning and professor, University of AlbertaSendhil Mullainathan, MacArthur Genius grant recipient and professor, MITNiamh Gavin, Applied AI scientist, CEO, Emergent PlatformsSutton, Mullainathan and Gavin are all Intrepid Growth Partners’ senior advisors.LINKSAda websiteThis episode extends the discussion from Derby Mill episode 07: Customer Support Rich Sutton’s home page. Follow Rich on XSendhil Mullainathan’s website. Follow Sendhil on XBe sure to catch every episode by subscribing on the following platforms:YouTube // Spotify // Apple PodcastsDISCUSSION POINTS00:00 Introduction and opening credit02:00 Ada refresher03:46 Clip: Testing harness06:50 Clip discussion begins10:15 What are goal-based objectives?13:30 Is this the year of the agent?17:40 What makes agents goal-oriented19:20 Decision-making fundamentals in AI21:27 Clip: Automating system improvement over time23:32 Clip discussion begins30:13 Automating the evaluation process34:08 What could Ada look like in the limit?41:03 Closing remarksNUGGET 01: Vertical vs. Horizontal CompetitionFine-tuning used to be costly and impractical, pushing companies to open-source solutions—only to revert to OpenAI due to complexity. Now, companies like Ada build on top of model providers, offering flexibility while managing AI’s complexity. Niamh discusses the competitiveness between verticalized AI (industry-specific applications) and horizontal AI (broad sector models).NUGGET 02: The Challenge of InterpretabilityAda's evaluations rely on human judgment. The challenge here is interpretability—determining whether an outcome is truly good without direct human input. Rich Sutton offers potential solutions, including using reinforcement learning with human feedback (RLHF) as a proxy measure trained on high-quality data.NUGGET 03: Benchmarking vs. Deployment in the FieldNiamh and Sendhil discuss how, despite concerns about hallucinations in AI-powered customer service, CEOs adopt GenAI more for signaling competence than for real effectiveness.DISCLAIMERThe content of this podcast is for informational and educational purposes only and should not be construed as marketing, solicitation, or an offer to buy or sell any securities or investments. The opinions expressed in this video are those of the participants and do not necessarily reflect the views of Intrepid Growth Partners or its affiliates. Any discussion of specific companies, technologies, or industries is for illustrative purposes and does not constitute investment advice. Viewers are encouraged to consult with their own financial, legal, and tax advisors before making any investment decisions. This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit insights.intrepidgp.com
    --------  
    43:04

More Technology podcasts

About The Derby Mill Series

Intrepid Growth Partners’ Senior Advisors Rich Sutton (pioneer of reinforcement learning), Sendhil Mullainathan (MacArthur Genius recipient), and Niamh Gavin (Applied AI scientist) join Intrepid partner and co-founder Ajay Agrawal to explore what’s possible with the entrepreneurs implementing AI-based solutions and pushing out the productivity frontier. insights.intrepidgp.com
Podcast website

Listen to The Derby Mill Series, DGTL Voices with Ed Marx and many other podcasts from around the world with the radio.net app

Get the free radio.net app

  • Stations and podcasts to bookmark
  • Stream via Wi-Fi or Bluetooth
  • Supports Carplay & Android Auto
  • Many other app features
Social
v7.18.5 | © 2007-2025 radio.de GmbH
Generated: 6/14/2025 - 2:12:59 PM