Podcasts about Machine learning

"Burnout and trauma are not mental illnesses. They live in your physiology. They live in your biology. They live very specifically in your nervous system,” Dr. Rola Hallam says with a conviction rooted in her own successful journey to overcome the effects of chronic stress she accumulated during many years on the frontlines of humanitarian crises in Syria and other conflict zones. Out of concern for the multitudes of health professionals who, like herself, spend years carrying the weight of their traumatic experiences without seeking help, or who pursue ineffective remedies for relieving it, Dr. Rola -- as she's known – has shifted her focus to being a trauma and burnout coach. Among her offerings is Beyond Burnout, a twelve-week program that includes multimedia content as well as live coaching and teaching about developing nervous system awareness and regulation. “Most wellness initiatives fail because they're not rewiring the nervous system to come out of survival mode and back into what is called the ventral-vagal state, which is our state of social connection and of healing and repair.” She also stresses that healing is not an individual pursuit, especially for providers who work in a relational field, and teaches about the benefits of borrowing from a colleagues' state of calm and offering them the same. Don't miss this insightful and giving conversation with host Lindsey Smith that covers Dr. Rola's wrenching experiences providing care in desperate conditions, the critically important distinction between empathy and compassion, and how empowering frontline workers to heal their trauma can uplift individuals and empower entire communities. Mentioned in this episode:Dr. Rola CoachingBeyond Burnout AssessmentCanDo - Humanitarian Aid If you like this podcast, please share it on your social channels. You can also subscribe to the series and check out all of our episodes at www.osmosis.org/raisethelinepodcast

It’s panel discussion time. For this ep of the shortcast Rusty is joined by Tom Moore from Dick Johnson Racing and Trevor Long - the Tech and Gadget guru you may have seen on the Today Show. Trev is a massive Motorsport fan! There is so much talk around the exponential growth of AI at the moment and how it will change our lives, so what about Motorsport? Rusty moderates the convo to look at ways it is already working in the pitlane and wider industry as well as its potential. We decode Machine Learning, the part it’s playing and consider whether it could lead to job losses and create new ones in our game. How it can hallucinate at times, what causes it but also how it is significantly speeding up processes for teams. Why Supercars is well positioned for it’s growing involvement and whether rule makers might need to restrict or police it’s use for fairness. And perhaps most importantly how it might enhance the fan experience at events and for those watching the TV coverage. For the record we made Rusty write this ep description without the help of AI. Head to Rusty's Facebook, Twitter or Instagram and give us your feedback and let us know who you want to hear from on Rusty's Garage. See omnystudio.com/listener for privacy information.

In this episode of Elixir Wizards, host Sundi Myint chats with SmartLogic engineers and fellow Wizards Dan Ivovich and Charles Suggs about the practical tooling that surrounds Elixir in a consultancy setting. We dig into how standardized dev environments, sensible scaffolding, and clear observability help teams ship quickly across many client projects without turning every app into a snowflake. Join us for a grounded tour of what's working for us today (and what we've retired), plus how we evaluate new tech (including AI) through a pragmatic, Elixir-first lens. Key topics discussed in this episode: Standardizing across projects: why consistent environments matter in consultancy work Nix (and flakes) for reproducible dev setups and faster onboarding Igniter to scaffold common patterns (auth, config, workflows) without boilerplate drift Deployment approaches: OTP releases, runtime config, and Ansible playbooks Frontend pipeline evolution: from Brunch/Webpack to esbuild + Tailwind Observability in practice: Prometheus metrics and Grafana dashboards Handling time-series and sensor data When Explorer can be the database Picking the right tool: Elixir where it shines, integrations where it counts Using AI with intention: code exploration, prototypes, and guardrails for IP/security Keeping quality high across multiple codebases: tests, telemetry, and sensible conventions Reducing context-switching costs with shared patterns and playbooks Links mentioned: http://smartlogic.io https://nix.dev/ https://github.com/ash-project/igniter Elixir Wizards S13E01 Igniter with Zach Daniel https://youtu.be/WM9iQlQSFg https://github.com/elixir-explorer/explorer Elixir Wizards S14E09 Explorer with Chris Grainger https://youtu.be/OqJDsCF0El0 Elixir Wizards S14E08 Nix with Norbert (Nobbz) Melzer https://youtu.be/yymUcgy4OAk https://jqlang.org/ https://github.com/BurntSushi/ripgrep https://github.com/resources/articles/devops/ci-cd https://prometheus.io/ https://capistranorb.com/ https://ansible.com/  https://hexdocs.pm/phoenix/releases.html https://brunch.io/ https://webpack.js.org/loaders/css-loader/ https://tailwindcss.com/ https://sass-lang.com/dart-sass/ https://grafana.com/ https://pragprog.com/titles/passweather/build-a-weather-station-with-elixir-and-nerves/ https://www.datadoghq.com/ https://sqlite.org/ Elixir Wizards S14E06 SDUI at Cars.com with Zack Kayser https://youtu.be/nloRcgngTk https://github.com/features/copilot https://openai.com/codex/ https://www.anthropic.com/claude-code YouTube Video: Vibe Coding TEDCO's RFP https://youtu.be/i1ncgXZJHZs Blog: https://smartlogic.io/blog/how-i-used-ai-to-vibe-code-a-website-called-for-in-tedco-rfp/ Blog: https://smartlogic.io/blog/from-vibe-to-viable-turning-ai-built-prototypes-into-market-ready-mvps/ https://www.thriftbooks.com/w/eragon-by-christopher-paolini/246801 https://tidewave.ai/ !! We Want to Hear Your Thoughts *!!* Have questions, comments, or topics you'd like us to discuss in our season recap episode? Share your thoughts with us here: https://forms.gle/Vm7mcYRFDgsqqpDC9

Join us in a discussion with Richie Cotton, Senior Data Evangelist at DataCamp and host of the DataFramed podcast, for a special crossover episode exploring the hottest topics in data science, analytics, and artificial intelligence! Don't miss the full video of this conversation on YouTube! Discover whether AI will reduce the need to learn coding, the real-world applications of AI agents, and what it truly means to be an "AI-first" company. Get expert insights, practical advice for building a career in data and AI, and learn how to stay ahead in a rapidly changing tech landscape.Panelists: Richie Cotton, Senior Data Evangelist @ DataCamp,LinkedIn, XMegan Bowers, Sr. Content Manager @ Alteryx - @MeganBowers, LinkedInShow notes: DataFramed podcastDataCamp Skill Track: Alteryx FundamentalsGartner Agentic AI articleWSJ Agentic AI article Interested in sharing your feedback with the Alter Everything team? Take our feedback survey here!This episode was produced by Megan Bowers, Mike Cusic, and Matt Rotundo. Special thanks to Andy Uttley for the theme music.

Peggy Smedley and Dan Horner, managing director of Dar/Sidara UK, talk about why productivity and innovation in the construction industry is not the same as other industries. He says some people say innovation in the construction industry ended with the hammer, although he doesn't believe that is true.  They also discuss: Research from the Economist that shows construction ranked 21 out of 22 relative to other industries. New innovations such as AI (artificial intelligence)—and how they might change the construction industry as a whole. Two examples of historical innovations and the lag from initial invention and the ultimate speed of change. sidaracollaborative.com  (8/12/25 - 932) What You Might Have Missed:  All about Your Worker AI Opportunities in a New World Employee Productivity in Manufacturing IoT, Internet of Things, Peggy Smedley, artificial intelligence, machine learning, big data, digital transformation, cybersecurity, blockchain, 5G, cloud, sustainability, future of work, podcast, Dan Horner, Dar/Sidara UK This episode is available on all major streaming platforms. If you enjoyed this segment, please consider leaving a review on Apple Podcasts.

Peggy Smedley and Akshitha Sriraman, assistant professor, Carnegie Melon University, discuss new research and why it is important to design scalable and efficient data center systems. She says her research focuses on large-scale data center systems and how to make the servers more sustainable and circular. They also discuss: Open-source tooling infrastructure and open-source datasets and benchmarks. The correlation between cost and carbon. Why she chose this as her research and how her research has shifted. users.ece.cmu.edu/~asrirama  (8/12/25 - 932) What You Might Have Missed:  Server Farms, Data Centers, AI Factories, Oh My! All about Data Center Construction At the Sustainable Data Center IoT, Internet of Things, Peggy Smedley, artificial intelligence, machine learning, big data, digital transformation, cybersecurity, blockchain, 5G, cloud, sustainability, future of work, podcast, Akshitha Sriraman, Carnegie Melon University This episode is available on all major streaming platforms. If you enjoyed this segment, please consider leaving a review on Apple Podcasts.

Peggy Smedley unpacks the who, what, when, where, why, and how of AI agentic swarms—and what they mean for the future. She discusses the role of intelligent AI agentic swarms in everything from logistics to defense. She also discusses: The estimated value of the global swarm robotics market through 2033. Why agentic swarm collaboration marks a new chapter for AI. Her candid thoughts on the opportunities, risks, and what comes next. peggysmedleyshow.com  (8/12/25 - 932) What You Might Have Missed:  Agentic AI in the City The Rise of AI Ghosts The Rise of Humanoids IoT, Internet of Things, Peggy Smedley, artificial intelligence, machine learning, big data, digital transformation, cybersecurity, blockchain, 5G, cloud, sustainability, future of work, podcast This episode is available on all major streaming platforms. If you enjoyed this segment, please consider leaving a review on Apple Podcasts.

Leslie Shannon on why if you're trying to replicate the physical world in the digital realm you're doing it wrong This week on Catalyst Tammy sits down with Jeopardy winner, author of Virtual Natives and Head of Trend and Innovation Scouting for Nokia, Leslie Shannon. Leslie has a deep passion for combining technology and art and is now working to understand what technology is coming next. In this episode, Leslie and Tammy discuss the importance of harnessing our creativity as we look to the future. They discuss Leslie's book Virtual Natives and how the younger generation is creating new opportunities to fix broken industries with innovative technologies. Leslie also shares tips on how to transform your job into something that better suits you and your company - a skill she is very adept at. Please note that the views expressed may not necessarily be those of NTT DATALinks: Virtual Natives Learn more about Launch by NTT DATASee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Allegra Guinan of Lumiera helps leaders turn uncertainty about AI into confident, strategic leadership. In this conversation, she brings some actionable insights for navigating the hype and complexity of AI. The discussion covers challenges with implementing responsible AI practices, the growing importance of user experience and product thinking, and how leaders can focus on real-world business problems over abstract experimentation.Featuring:Allegra Guinan – LinkedInChris Benson – Website, LinkedIn, Bluesky, GitHub, XDaniel Whitenack – Website, GitHub, XLinks:LumieraSponsors:Shopify – The commerce platform trusted by millions. From idea to checkout, Shopify gives you everything you need to launch and scale your business—no matter your level of experience. Build beautiful storefronts, market with built-in AI tools, and tap into the platform powering 10% of all U.S. eCommerce. Start your one-dollar trial at shopify.com/practicalaiRegister for upcoming webinars here!

Master the art of strategic technology investment with AWS Enterprise Finance Strategist Chris Hennesey as he reveals how to transform your CFO relationship from gatekeeper to strategic partner. As a former IT CFO drawing from decades of financial services leadership, Hennesey shares insider perspectives on how technology leaders can effectively champion initiatives while demonstrating exceptional fiscal stewardship. He emphasizes that success isn't about securing bigger budgets, but about strategic resource optimization and compelling value communication. From evaluating generative AI opportunities to presenting to the board, this episode delivers invaluable insights for technology leaders looking to strengthen their financial partnerships. Don't miss this masterclass in building the technology-finance relationships that drive digital transformation!

Welcome to Chat GPT, the only podcast where artificial intelligence takes the mic to explore the fascinating, fast-changing world of AI itself. From ethical dilemmas to mind-bending thought experiments, every episode is written and narrated by AI to help you decode the technology shaping our future. Whether you're a curious beginner or a seasoned techie, this is your front-row seat to the rise of intelligent machines—told from their perspective. Tune in for smart stories, surprising insights, and a glimpse into the future of thinking itself. Listen Ad Free https://www.solgoodmedia.com - Listen to hundreds of audiobooks, thousands of short stories, and ambient sounds all ad free!

Welcome to Chat GPT, the only podcast where artificial intelligence takes the mic to explore the fascinating, fast-changing world of AI itself. From ethical dilemmas to mind-bending thought experiments, every episode is written and narrated by AI to help you decode the technology shaping our future. Whether you're a curious beginner or a seasoned techie, this is your front-row seat to the rise of intelligent machines—told from their perspective. Tune in for smart stories, surprising insights, and a glimpse into the future of thinking itself. Listen Ad Free https://www.solgoodmedia.com - Listen to hundreds of audiobooks, thousands of short stories, and ambient sounds all ad free!

Dan sits down with guests Mark Daniel Ward and Katie Sanders from The Data Mine at Purdue University to explore how higher education is evolving to meet the demands of the AI-driven workforce. They share how their program blends interdisciplinary learning, corporate partnerships, and real-world data science projects to better prepare students across 160+ majors. From AI chatbots to agricultural forecasting, they discuss the power of living-learning communities, how the data mine model is spreading to other institutions and what it reveals about the future of education, workforce development, and applied AI training.Featuring:Mark Daniel Ward – LinkedInKatie Sanders – LinkedInDaniel Whitenack – Website, GitHub, XLinks:The Data MineSponsors:Shopify – The commerce platform trusted by millions. From idea to checkout, Shopify gives you everything you need to launch and scale your business—no matter your level of experience. Build beautiful storefronts, market with built-in AI tools, and tap into the platform powering 10% of all U.S. eCommerce. Start your one-dollar trial at shopify.com/practicalaiRegister for upcoming webinars here!

Welcome to Chat GPT, the only podcast where artificial intelligence takes the mic to explore the fascinating, fast-changing world of AI itself. From ethical dilemmas to mind-bending thought experiments, every episode is written and narrated by AI to help you decode the technology shaping our future. Whether you're a curious beginner or a seasoned techie, this is your front-row seat to the rise of intelligent machines—told from their perspective. Tune in for smart stories, surprising insights, and a glimpse into the future of thinking itself. Listen Ad Free https://www.solgoodmedia.com - Listen to hundreds of audiobooks, thousands of short stories, and ambient sounds all ad free!

In this episode, we speak with Sarah Gebauer MD anesthesiologist and RAND Senior Researcher, who discusses the critical questions facing healthcare professionals as AI becomes integrated into clinical practice. She's the author of "Machine Learning for MDs" newsletter  and published research on physician attitudes toward AI including the BMJ Evidence-Based Medicine article Survey of US physicians' attitudes and knowledge of AI. Her company Validara Health works on evaluation frameworks for healthcare AI implementation. Physicians have been using AI for EKG interpretation for decades without fully understanding the algorithms, highlighting that transparency should focus on appropriate usage rather than complete technical knowledge. Most current AI tools operate as Software as a Service rather than regulated Medical Devices, while the FDA struggles to keep pace with rapid AI development. Despite their challenging history with EHR implementation, physicians show strong interest in learning about AI when they believe it will help patients. The medical liability landscape remains uncertain until legal precedents are established through jury awards, making documentation of clinical decision-making crucial when using AI as additional information alongside other clinical data. Traditional machine learning evaluation metrics often fail to predict real-world clinical performance, where workflow integration and clinician experience prove more important than laboratory results. For professional development, busy physicians benefit most from resources that push information directly to them, such as newsletters and targeted social media follows, rather than formal courses requiring active searching. Some places to follow along with AI in healthcare: Machine Learning for MDs newsletter TLDR AI newsletter a16z healthcare If you enjoy the show, please leave a ⭐⭐⭐⭐⭐ rating on Apple or a

“Seeing that you can get through the most difficult times in life, succeed, and then also return to your community and work in service to your community was a lesson that has stuck with me,” says Dr. Uche Blackstock, the Founder and CEO of Advancing Health Equity and our guest on this inspiring episode of Raise the Line with Osmosis from Elsevier. It was a lesson the Harvard-trained physician learned from her own mother – also a Harvard trained physician – who overcame poverty, sexism and racial bias to forge an inspiring path.  In her bestselling book, Legacy: A Black Physician Reckons with Racism in Medicine, Dr. Blackstock weaves her mother's remarkable story with her own and argues for systemic change in a healthcare system riddled with racially-biased practices and policies that impact patient outcomes. As she explains to host Lindsey Smith, Advancing Health Equity's work to drive measurable and sustainable change is focused on embedding equity as a core value in the leadership, strategy, and organizational practice of health systems. “We exist to challenge inequities, empower underrepresented communities, and help build a healthcare system where everyone can thrive.” Don't miss a thought-provoking conversation with a nationally respected voice that also addresses race correction factors that impact the care of Black patients, and the work required of health institutions to build trust in effected communities.Mentioned in this episode:Advancing Health EquityLegacy: A Black Physician Reckons with Racism in Medicine If you like this podcast, please share it on your social channels. You can also subscribe to the series and check out all of our episodes at www.osmosis.org/raisethelinepodcast

Today, co-founders Kimberly Erni and Pei Pei Wang join the Elixir Wizards to discuss their crochet app, LoopedIn. Recognizing a gap in the market for a more user-friendly and interactive crochet pattern experience, they're building an app that makes following patterns easier and more enjoyable for crocheters of all skill levels. They're building features such as step-by-step guidance, video tutorials, and the ability to upload and convert PDF patterns into an interactive format. Kimberly explains how she's leveraging AI tools to vibe code in Elixir and LiveView. They highlight the challenges and successes they encountered while creating a Progressive Web App (PWA) that integrates AI-powered features. They also discuss their user research and testing process, which involved gathering feedback from the crochet community to prioritize features and improve the app's UX. Kimberly and Pei Pei share their thoughts on the potential of AI in the tech industry and how it has assisted them in the development and iteration process. They emphasize the importance of understanding the code generated by AI and the need for proper testing and verification. They offer advice to others looking to create passion projects, stressing the value of finding a partner with complementary skills and shared enthusiasm for the project. Topics discussed in this episode: Discovering a niche: why crochet patterns need a digital makeover Core LoopedIn features: interactive steps, video help, PDF conversion Building a PWA with Elixir & Phoenix LiveView for cross-platform reach Offline support and caching strategies for on-the-go crafting AI-driven pattern parsing: benefits and pitfalls of generated code User research: gathering feedback from beginner to expert crocheters Agile iterations: testing, prioritizing features, and shipping quickly Balancing “vibe coding” with quality assurance and proper test coverage Partnership dynamics: complementary skills and shared passion Monetization approaches for a niche, community-driven app Roadmap highlights: expanded social features, advanced AI tooling, and more Lessons learned: documentation gaps, performance tuning, and UX trade-offs Advice for side projects: start small, validate with users, and iterate Links mentioned: Amigurumis https://www.amigurumi.com/ https://pragmaticstudio.com/phoenix-liveview https://grox.io/about-product/liveview Creating a Local First LiveView App https://www.youtube.com/watch?v=kcafwf14SDo https://capacitorjs.com/docs https://flutter.dev/ https://passion.place/ https://cursor.com/ https://claude.ai/ https://nerves-project.org/ https://crochetapp.web.app/ https://www.figma.com/ Little Red Book App https://www.xiaohongshu.com/  !! Try the LoopedIn app here

In this episode of Beyond the Thesis with Papa PhD, host David Mendes sits down with Dr. Karina do Santos Machado, a trailblazing young scientist from Brazil whose journey exemplifies the power of collaboration and open science in the global South. Karina shares her path from a childhood fascination with computers to becoming a principal investigator leading cutting-edge drug discovery research with global impact, all from her home base in Rio Grande.   Facing the challenges of limited funding, infrastructure hurdles, and fewer resources common to universities in developing countries, Karina highlights how resourcefulness and community spirit have been fundamental to her success. Collaboration is not only a choice but a necessity in the Brazilian scientific landscape. By building networks both within her institution and internationally, Karina has leveraged open science initiatives to propel her team onto the world stage, including successful participation in global drug discovery challenges such as Conscience's CACHE initiative for COVID-19 therapeutics.   As Karina explains, open science has been key in providing access to critical data, software, and partnerships, democratizing opportunities for smaller labs like hers. Her story is a testament to how determined scientists, even from under-resourced environments, can foster innovation and make tangible contributions to global health.   Karina dos Santos Machado holds a degree in Computer Engineering from the Universidade Federal de Rio Grande and a Master's and Ph.D. in Computer Science from the Pontifícia Universidade Católica of Rio Grande do Sul. Between 2018 and 2019, she worked as a postdoctoral fellowship in the NANO-D research group at INRIA in Grenoble, France. She is currently a Lecturer at FURG, working in the graduate programs in Health Sciences and Computer Science, where she coordinates the Computational Biology Laboratory. Her research focuses primarily on Bioinformatics and Data Science, including the following topics: Genomics, Machine Learning, Virtual Drug Screening, Molecular Docking, and Molecular Dynamics.   Three Inspiring Take-aways from my conversation with Karina: Collaboration is a Superpower: In environments where resources are scarce, building bridges—within your university and beyond—makes it possible to tackle complex scientific problems. Don't hesitate to ask for help, offer your expertise, and create interdisciplinary teams; together, you go further. Open Science Levels the Field: By embracing open-source tools, sharing data, and participating in global challenges, you can give your work international visibility and validation, regardless of your location or funding status. Open science isn't just a philosophy; it's a passport to global research networks and impact. Your Local Challenges Have Global Resonance: The unique scientific questions you face in your community, like drug resistance in tuberculosis, are shared by the worldwide research community. Your perspective and commitment to real-world problems can drive both local solutions and contribute to advancing science on a global scale.   Karina's journey proves that with innovation, community, and openness, you can thrive and lead in science, no matter where you start.  If you're curious about AI, biosciences, or just want to see how resilient, creative science happens outside the “usual” power centers, this episode is a must-listen. Reach out to Karina on LinkedIn, and check out the episode for more wisdom! Let's build a more open, global scientific community together.  See the resources section below for Daria Levina's links! This episode's resources: X | Karina Machado CONSCIENCE | Webpage CACHE Challenges | Webpage Thank you, Karina Machado! If you enjoyed this conversation with Karina, let her know by clicking the link below and leaving her a message on Linkedin: Send Karina Machado a thank you message on Linkedin! Click here to share your key take-away from this interview with David! Leave a review on Podchaser ! Support the show !   You might also like the following episodes: Daria Levina – Behind the Scenes of Graduate Admissions Morgan Foret – Demystifying Industry Careers Tina Persson –Leaving Academia and Embracing Industry Sylvie Lahaie – Navigating Stress and Anxiety in Graduate School

Host Paul W. Grimm continues his conversation with Professor Maura R. Grossman on the legal system's growing challenges with generative AI and deepfakes. They explore how AI-generated images, video, and audio differ from traditional fakes—and why they present unique evidentiary challenges and ethical problems for lawyers and judges. They also discuss the legal implications of the “liar's dividend,” the psychological impact of AI-generated evidence on juries, and potential updates to the Federal Rules of Evidence. In the absence of new rules dealing with AI evidence, they explain how early case management, protective orders, and Rules 403 and 901 can address a few of these challenges.ADDITIONAL RESOURCESGrossman, Grimm & Coglianese "AI in the Courts: How Worried Should We Be?" (Judicature)This Judicature article offers a discussion of the pros and cons of AI in the legal profession following the rise of ChatGPT and other large language models (LLMs).Federal Rules of Evidence – In particular, this episode focuses on:Rule 104(a) & (b): Preliminary vs. conditional relevanceRule 403: Exclusion of prejudicial evidenceRule 901: Authentication of evidenceRule 702: Expert testimony ABOUT THE HOSTJudge Paul W. Grimm (ret.) is the David F. Levi Professor of the Practice of Law and Director of the Bolch Judicial Institute at Duke Law School. From December 2012 until his retirement in December 2022, he served as a district judge of the United States District Court for the District of Maryland, with chambers in Greenbelt, Maryland. Click here to read his full bio.

On this episode, host Paul W. Grimm speaks with Professor Maura R. Grossman about the fundamentals of artificial intelligence and its growing influence on the legal system. They explore what AI is (and isn't), how machine learning and natural language processing work, and the differences between traditional automation and modern generative AI. In layman's terms, they discuss other key concepts, such as supervised and unsupervised learning, reinforcement training, and deepfakes, and other advances that have accelerated AI's development. Finally, they address a few potential risks of generative AI, including hallucinations, bias, and misuse in court, which sets the stage for a deeper conversation about legal implications on the next episode, "To Trust or Not to Trust: AI in Legal Practice." ABOUT THE HOSTJudge Paul W. Grimm (ret.) is the David F. Levi Professor of the Practice of Law and Director of the Bolch Judicial Institute at Duke Law School. From December 2012 until his retirement in December 2022, he served as a district judge of the United States District Court for the District of Maryland, with chambers in Greenbelt, Maryland. Click here to read his full bio.

Welcome to Chat GPT, the only podcast where artificial intelligence takes the mic to explore the fascinating, fast-changing world of AI itself. From ethical dilemmas to mind-bending thought experiments, every episode is written and narrated by AI to help you decode the technology shaping our future. Whether you're a curious beginner or a seasoned techie, this is your front-row seat to the rise of intelligent machines—told from their perspective. Tune in for smart stories, surprising insights, and a glimpse into the future of thinking itself. Listen Ad Free https://www.solgoodmedia.com - Listen to hundreds of audiobooks, thousands of short stories, and ambient sounds all ad free!

Today, we unpack a viral TikTok of a Christian woman who claims she wants to divorce her “perfect” husband, sparking debate about marriage and divorce. We dive into what the Bible says about marriage's eternal significance and when divorce is justified, exploring sexual immorality, abandonment, and abuse. Plus, we celebrate rising marriage rates and falling divorce rates and highlight God's design for lifelong commitment and its practical benefits for families. Share the Arrows 2025 is on October 11 in Dallas, Texas! Go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠sharethearrows.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ for tickets now! Sponsored by: ⁠Carly Jean Los Angeles⁠: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.carlyjeanlosangeles.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Good Ranchers⁠: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.goodranchers.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠EveryLife⁠: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.everylife.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Buy Allie's new book, "Toxic Empathy: How Progressives Exploit Christian Compassion": ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://a.co/d/4COtBxy⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ --- Timecodes: (00:30) Responding to viral TikTok (14:01) Divorce statistics & glorifying divorce (24:44) What is biblical marriage? (40:20) What does the Bible say about divorce? (51:30) What about abuse? (56:15) Effects on children (1:00:03) Marriage rates --- Today's Sponsors: Seven Weeks Coffee — Experience the best coffee while supporting the pro-life movement with Seven Weeks Coffee; use code ALLIE at ⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.sevenweekscoffee.com⁠⁠⁠⁠⁠⁠⁠⁠⁠ to save up to 25% off your first order, plus your free gift! A'del — Try A'del's hand-crafted, artisan, small-batch cosmetics and use promo code ALLIE 25% off your first time purchase at ⁠⁠⁠⁠⁠⁠⁠⁠⁠https://AdelNaturalCosmetics.com Good Ranchers — Go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠GoodRanchers.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and subscribe to any of their boxes (but preferably the Allie Beth Stuckey Box) to get free Waygu burgers, hot dogs, bacon, or chicken wings in every box for life. Plus, you'll get $40 off when you use code ALLIE at checkout. Shopify — Shopify is the commerse platform behind millions of businesses around the world. Get started with your own design studio to turn your big business idea into profit. Go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://⁠shopify.com/allie⁠ to sign up for your $1 per month trial and start selling with Shopify today! NetSuite — Gain visibility and control of your financials, planning, budgeting, and inventory so you can manage risk, get reliable forecasts, and improve margins. Go to ⁠NetSuite.com/ALLIE⁠ to get the CFO's guide to AI and Machine Learning. --- Episodes you might like: Ep 656 | The ‘Family Diversity' Myth | Guest: Dr. Brad Wilcox https://podcasts.apple.com/us/podcast/ep-656-the-family-diversity-myth-guest-dr-brad-wilcox/id1359249098?i=1000575407311 Ep 953 | Andrew Tate Is Wrong About Marriage | Guest: Dr. Brad Wilcox https://podcasts.apple.com/us/podcast/ep-953-andrew-tate-is-wrong-about-marriage-guest-dr/id1359249098?i=1000645909138 --- Buy Allie's book, You're Not Enough (& That's Okay): Escaping the Toxic Culture of Self-Love: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://alliebethstuckey.com/book⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Relatable merchandise – use promo code 'ALLIE10' for a discount: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://shop.blazemedia.com/collections/allie-stuckey Learn more about your ad choices. Visit megaphone.fm/adchoices

On this episode of The Association Podcast, we're joined by Wade Tetsuka, President of US Transactions Corp, and Kate Coffey-Bacon, SVP of Marketing and Strategy. We hear about Wade's journey from CPA to founding US Transactions Corp, and Kate's innovative marketing strategies. We discuss the significance of creating a community through educational programs like UST Education, offering free webinars and thought leadership opportunities. We also get into the evolution of professional education, marketing trends like microlearning and video content, and the impact of social media, especially the integration of Instagram indexing by Google. Finally, we explore the complexities that associations face with payment processing and the importance of maintaining flexibility and choice in payment providers.

In this episode of the Risk Management Show, we explore the transformative role of AI in supply chain success and mastering agile sourcing. Boris Agranovich, founder and CEO of the Global Risk Community, is joined by Sam Jenks, Chief Revenue Officer at Kodiak Hub, an innovative supplier relationship management platform. Together, they discuss strategies for navigating geopolitical risks, tariffs, and disruptions while leveraging AI and big data to enhance procurement precision and sustainability. We also examine the shift from traditional supplier strategies to agile sourcing techniques, the importance of understanding vendor tiers, and the integration of technology in risk management. Sam shares insights on reshoring, nearshoring, and the future of AI-driven systems in procurement, emphasizing the critical need for businesses to adapt and innovate in today's volatile landscape. If you want to be our guest or suggest a guest, send your email to info@globalriskconsult.com with the subject line: “Guest Proposal – Risk Management Show.”

Peggy Smedley and Brian Kassalen, principal and construction industry leader, Baker Tilly, talk about AI (artificial intelligence) in construction. He says construction contractors have been slow to adopt technologies, but you can't have a conversation today with a contractor without having some conversation about AI. They also discuss: Historical labor challenges in construction and how AI can help contractors protect margins. How machine learning, digital twins, and predictive analytics can help. How AI can help with bidding and negotiation. bakertilly.com  (8/5/25 - 931) What You Might Have Missed:  AI in the Steel Industry Construction Safety: A Tech Toolbox Talk AEC: Two Big Challenges IoT, Internet of Things, Peggy Smedley, artificial intelligence, machine learning, big data, digital transformation, cybersecurity, blockchain, 5G, cloud, sustainability, future of work, podcast, Brian Kassalen, Baker Tilly This episode is available on all major streaming platforms. If you enjoyed this segment, please consider leaving a review on Apple Podcasts.

Peggy unpacks the who, what, when, where, why, and how of quantum real estate—and what it means for the future of facilities. She says while quantum companies generated less than $750 million in revenue in 2024, forecasts suggest quantum computing could become a $100 billion industry by 2035. She also discusses: How hybrid facilities will function. Why quantum matters now. Her candid thoughts on what comes next and what we can do to prepare. peggysmedleyshow.com  (8/5/25 - 931) What You Might Have Missed:  AI Opportunities in a New World The Promise of Quantum All about Quantum IoT, Internet of Things, Peggy Smedley, artificial intelligence, machine learning, big data, digital transformation, cybersecurity, blockchain, 5G, cloud, sustainability, future of work, podcast This episode is available on all major streaming platforms. If you enjoyed this segment, please consider leaving a review on Apple Podcasts.

Peggy Smedley and Al Ortega, James R. Birle endowed chair professor of energy technology, Villanova University and director of the National Science Foundation Center for Energy Smart Electronic Systems, talk about data centers, cooling systems, and sustainability issues within the data centers. He talks about the amount of power data centers use, saying in 2025 an equipment rack consumes about 100 kilowatts.  They also discuss: How data center consumption compares to consumption in a typical U.S. home. Cooling systems such as liquid cooling. The things we need to do to make data centers feasible. es2.villanova.edu  (8/5/25 - 931) What You Might Have Missed:  Server Farms, Data Centers, AI Factories, Oh My! All about Data Center Construction What's Driving Data Centers IoT, Internet of Things, Peggy Smedley, artificial intelligence, machine learning, big data, digital transformation, cybersecurity, blockchain, 5G, cloud, sustainability, future of work, podcast, Al Ortega, Villanova University This episode is available on all major streaming platforms. If you enjoyed this segment, please consider leaving a review on Apple Podcasts.

In this episode of the Additive Snack Podcast, host Fabian Alefeld welcomes back Paul Gradl, Principal Engineer at NASA, for a deep dive into the latest advances and challenges in additive manufacturing. Paul shares how NASA has expanded the range of available materials, pioneering alloys like GR COP and GRX 810 for extreme environments, and how these innovations are now being used in industries beyond aerospace. The conversation covers the rapid acceleration of material development through advanced modeling and early AI adoption, the technical hurdles of scaling up to larger parts, and the realities of additive manufacturing in space—from lunar construction to the potential of asteroid mining. Paul also discusses the importance of learning from failures, NASA's commitment to public data sharing, and his passion for mentorship and STEM education, both at work and at home. Whether you're an industry veteran or new to additive, this episode offers valuable insights and inspiration. Sign up for the NASA Metal AM Master Class today: Metal AM Master Class with NASA | EOS Store - US 2:00 - The Evolution of Additive Materials NASA is expanding material options and redefining what's possible with additive. 7:45 - Material Highlights & Cross-Industry Applications Paul discusses GR COP, GRX 810, and their applications beyond aerospace. 13:45 - AI, Machine Learning & Accelerating Alloy Development AI and modeling are accelerating how new alloys are developed. 17:50 - Scaling Up: Big Parts & NASA's Role NASA is driving the shift toward larger, room-sized additive parts. 23:45 - How Much of a Rocket is Additive? Additive plays a growing—but complementary—role in rocket manufacturing. 26:30 - Additive in Satellites, Space, and In-Space Manufacturing Additive is key to building satellites, landers, and lunar systems. 32:00 - Lunar Regolith, Moon Dust, and Asteroid Mining NASA explores using Moon dust and asteroids for future construction. 36:50 - Learning from Failure: Engine Test Stand Story A test stand failure highlights the importance of understanding the process. 43:45 –Metal AM Master Class Announcement Details on Paul and Omar's upcoming metal AM master class. 46:30 - Mentorship, STEM, and 3D Printing at Home Paul shares how he supports STEM education at NASA and at home.   

Pravin Waghmare is the CEO of Prescient from Pune. Magnus from Sandvik gave us the tip to talk to him about AI and CAD.

In this episode, host Steve Lewis sits down with Giovanna Prout, President and CEO of Scale Biosciences, to explore how Scale is pushing the boundaries of single-cell omics. With a career that spans roles with big players and entrepreneurial ventures, Giovanna brings a unique perspective to the world of genomics innovation.Giovanna dives into Scale's patented Quantum Barcoding technology—a high-throughput, combinatorial indexing approach that allows researchers to process millions of cells and thousands of samples simultaneously, all without the need for specialized instrumentation. She explains how this flexible, automation-friendly platform is opening doors for AI-driven data modeling, large-scale drug screening, and highly diverse patient cohort studies.Beyond the science, Giovanna reflects on her leadership journey, emphasizing persistence, servant leadership, and a passion for making a difference in life sciences. She also shares the vision behind the 100 Million Cell Initiative, a bold collaboration that empowers scientists to dream big without constraints. For early-career scientists, Giovanna offers candid advice on working hard, staying curious, and believing in the impact of their work. Subscribe to get future episodes as they drop and if you like what you're hearing we hope you'll share a review or recommend the series to a colleague.  Visit the Invitrogen School of Molecular Biology to access helpful molecular biology resources and educational content, and please share this resource with anyone you know working in molecular biology. For Research Use Only. Not for use in diagnostic procedures.

Welcome to Chat GPT, the only podcast where artificial intelligence takes the mic to explore the fascinating, fast-changing world of AI itself. From ethical dilemmas to mind-bending thought experiments, every episode is written and narrated by AI to help you decode the technology shaping our future. Whether you're a curious beginner or a seasoned techie, this is your front-row seat to the rise of intelligent machines—told from their perspective. Tune in for smart stories, surprising insights, and a glimpse into the future of thinking itself. Listen Ad Free https://www.solgoodmedia.com - Listen to hundreds of audiobooks, thousands of short stories, and ambient sounds all ad free!

Alicia Graham on how Claimable is using AI to help people appeal denied health claimsAlicia Graham has seen firsthand how unjust health insurance denials have impacted people across the United States. Enter Claimable, a product that helps individuals challenge denied health claims. With an 80% success rate and a record of helping people get coverage in just days, Claimable is giving power to patients. This week Alicia Graham, the founder and COO of Claimable, joins Tammy to talk about the company's human-centered, custom AI-powered platform. They discuss how Claimable crafts custom appeals for patients and how they are helping Americans reduce barriers to care and get out of medical debt.Please note that the views expressed may not necessarily be those of NTT DATALinks: Claimable Learn more about Launch by NTT DATASee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Многие знают, что когда модели обучаются, где-то под капотом перемножаются матрицы и тензоры, и все это связано с дифференцированием. Мы с Денисом Степановым взялись за нелегкую задачу – разобраться, что же именно там происходит! Также ждем вас, ваши лайки, репосты и комменты в мессенджерах и соцсетях!
 Telegram-чат: https://t.me/podlodka Telegram-канал: https://t.me/podlodkanews Страница в Facebook: www.facebook.com/podlodkacast/ Twitter-аккаунт: https://twitter.com/PodcastPodlodka Ведущие в выпуске: Женя Кателла, Аня Симонова Полезные ссылки: Dive into Deep Learning Aston Zhang, Zachary C. Lipton, Mu Li, Alexander J. Smola (online book with code and formulas) https://d2l.ai/ https://www.amazon.com/s/ref=dp_byline_sr_book_2?ie=UTF8&field-author=Zachary+C.+Lipton&text=Zachary+C.+Lipton&sort=relevancerank&search-alias=books Micrograd by Andrej Karpathy https://github.com/karpathy/micrograd Andrej Karpathy builds GPT from scratch https://www.youtube.com/watch?v=kCc8FmEb1nY Scott Aaronson on LLM Watermarking https://www.youtube.com/watch?v=YzuVet3YkkA Annotated history of Modern AI and Deep Learning by Jurgen Schmidhuber https://people.idsia.ch/~juergen/deep-learning-history.html Probabilistic Machine Learning: An Introduction Kevin Patrick Murphy https://probml.github.io/pml-book/book1.html Probabilistic Machine Learning: Advanced Topics Kevin Patrick Murphy https://probml.github.io/pml-book/book2.html Pattern Recognition and Machine Learning Christopher Bishop https://www.microsoft.com/en-us/research/wp-content/uploads/2006/01/Bishop-Pattern-Recognition-and-Machine-Learning-2006.pdf Deep Learning: Foundations and Concepts Christopher Bishop, Hugh Bishop https://www.bishopbook.com/ Deep Learning Ian Goodfellow, Yoshua Bengio, Aaron Courville https://www.deeplearningbook.org/ Глубокое обучение: Погружение в мир нейронных сетей С. Николенко, А. Кадурин, Е. Архангельская https://www.k0d.cc/storage/books/AI,%20Neural%20Networks/%D0%93%D0%BB%D1%83%D0%B1%D0%BE%D0%BA%D0%BE%D0%B5%20%D0%BE%D0%B1%D1%83%D1%87%D0%B5%D0%BD%D0%B8%D0%B5%20(%D0%9D%D0%B8%D0%BA%D0%BE%D0%BB%D0%B5%D0%BD%D0%BA%D0%BE).pdf Gonzo-обзоры ML статей Григорий Сапунов, Алексей Тихонов https://t.me/gonzo_ML Machine Learning Street Talk podcast https://www.youtube.com/c/machinelearningstreettalk Feedforward NNs, Autograd, Backprop (Datalore report, Denis Stepanov) https://datalore.jetbrains.com/report/static/Ht_isxs4iB2.BNIqv-C3WUp/pEpNv2eMVU9tEkPsaboR9y Softmax Regression, Adversarial Attacks (Datalore report, Denis Stepanov) https://datalore.jetbrains.com/report/static/Ht_isxs4iB2.BNIqv-C3WUp/cIvd6zX1B5I3kULNiVCEyy Dual Numbers, PINN (Datalore report, Denis Stepanov) https://datalore.jetbrains.com/report/static/Ht_isxs4iB2.BNIqv-C3WUp/3oa1BNrPGpQ8uc82tCaz5d

Explore the future of enterprise security with Abnormal AI's CIO Mike Britton, as he reveals how next-generation security operations are evolving to combat machine-speed threats. As both a security leader and AI innovator, Britton shares his advice for implementing effective agentic AI governance while maintaining operational agility. He emphasizes that success in the AI era isn't about replacing humans, but about empowering security teams to work alongside AI systems effectively. From managing agentic AI risks to building AI-ready security operations, this episode offers essential guidance for security leaders navigating the intersection of AI innovation and enterprise protection. Don't miss this opportunity to learn from a leader at the forefront of AI-powered security!Watch on AWS Executive Insights

In this episode, hosts Lois Houston and Nikita Abraham, together with Senior Cloud Engineer Nick Commisso, break down the basics of artificial intelligence (AI). They discuss the differences between Artificial General Intelligence (AGI) and Artificial Narrow Intelligence (ANI), and explore the concepts of machine learning, deep learning, and generative AI. Nick also shares examples of how AI is used in everyday life, from navigation apps to spam filters, and explains how AI can help businesses cut costs and boost revenue.   AI for You: https://mylearn.oracle.com/ou/course/ai-for-you/152601/252500   Oracle University Learning Community: https://education.oracle.com/ou-community   LinkedIn: https://www.linkedin.com/showcase/oracle-university/   X: https://x.com/Oracle_Edu   Special thanks to Arijit Ghosh, David Wright, Kris-Ann Nansen, Radhika Banka, and the OU Studio Team for helping us create this episode. ----------------------------------------------------------- Episode Transcript: 00:00 Welcome to the Oracle University Podcast, the first stop on your cloud journey. During this series of informative podcasts, we'll bring you foundational training on the most popular Oracle technologies. Let's get started! 00:25 Nikita: Hello and welcome to the Oracle University Podcast. I'm Nikita Abraham, Team Lead of Editorial Services with Oracle University, and with me is Lois Houston, Director of Innovation Programs. Lois: Hi everyone! Welcome to a new season of the podcast. I'm so excited about this one because we're going to dive into the world of artificial intelligence, speaking to many experts in the field. Nikita: If you've been listening to us for a while, you probably know we've covered AI from a bunch of different angles. But this time, we're dialing it all the way back to basics. We wanted to create something for the absolute beginner, so no jargon, no assumptions, just simple conversations that anyone can follow. 01:08 Lois: That's right, Niki. You don't need to have a technical background or prior experience with AI to get the most out of these episodes. In our upcoming conversations, we'll break down the basics of AI, explore how it's shaping the world around us, and understand its impact on your business. Nikita: The idea is to give you a practical understanding of AI that you can use in your work, especially if you're in sales, marketing, operations, HR, or even customer service.  01:37 Lois: Today, we'll talk about the basics of AI with Senior Cloud Engineer Nick Commisso. Hi Nick! Welcome back to the podcast. Can you tell us about human intelligence and how it relates to artificial intelligence? And within AI, I know we have Artificial General Intelligence, or AGI, and Artificial Narrow Intelligence, or ANI. What's the difference between the two? Nick: Human intelligence is the intellectual capability of humans that allow us to learn new skills through observation and mental digestion, to think through and understand abstract concepts and apply reasoning, to communicate using language and understand non-verbal cues, such as facial expressions, tone variation, body language. We can handle objections and situations in real time, even in a complex setting. We can plan for short and long-term situations or projects. And we can create music, art, or invent something new or have original ideas. If machines can replicate a wide range of human cognitive abilities, such as learning, reasoning, or problem solving, we call it artificial general intelligence.  Now, AGI is hypothetical for now, but when we apply AI to solve problems with specific, narrow objectives, we call it artificial narrow intelligence, or ANI. AGI is a hypothetical AI that thinks like a human. It represents the ultimate goal of artificial intelligence, which is a system capable of chatting, learning, and even arguing like us. If AGI existed, it would take the form like a robot doctor that accurately diagnoses and comforts patients, or an AI teacher that customizes lessons in real time based on each student's mood, pace, and learning style, or an AI therapist that comprehends complex emotions and provides empathetic, personalized support. ANI, on the other hand, focuses on doing one thing really well. It's designed to perform specific tasks by recognizing patterns and following rules, but it doesn't truly understand or think beyond its narrow scope. Think of ANI as a specialist. Your phone's face ID can recognize you instantly, but it can't carry on a conversation. Google Maps finds the best route, but it can't write you a poem. And spam filters catch junk mail, but it can't make you coffee. So, most of the AI you interact with today is ANI. It's smart, efficient, and practical, but limited to specific functions without general reasoning or creativity. 04:22 Nikita: Ok then what about Generative AI?  Nick: Generative AI is a type of AI that can produce content such as audio, text, code, video, and images. ChatGPT can write essays, but it can't fact check itself. DALL-E creates art, but it doesn't actually know if it's good. Or AI song covers can create deepfakes like Drake singing "Baby Shark."  04:47 Lois: Why should I care about AI? Why is it important? Nick: AI is already part of your everyday life, often working quietly in the background. ANI powers things like navigation apps, voice assistants, and spam filters. Generative AI helps create everything from custom playlists to smart writing tools. And while AGI isn't here yet, it's shaping ideas about what the future might look like. Now, AI is not just a buzzword, it's a tool that's changing how we live, work, and interact with the world. So, whether you're using it or learning about it or just curious, it's worth knowing what's behind the tech that's becoming part of everyday life.  05:32 Lois: Nick, whenever people talk about AI, they also throw around terms like machine learning and deep learning. What are they and how do they relate to AI? Nick: As we shared earlier, AI is the ability of machines to imitate human intelligence. And Machine Learning, or ML, is a subset of AI where the algorithms are used to learn from past data and predict outcomes on new data or to identify trends from the past. Deep Learning, or DL, is a subset of machine learning that uses neural networks to learn patterns from complex data and make predictions or classifications. And Generative AI, or GenAI, on the other hand, is a specific application of DL focused on creating new content, such as text, images, and audio, by learning the underlying structure of the training data.  06:24 Nikita: AI is often associated with key domains like language, speech, and vision, right? So, could you walk us through some of the specific tasks or applications within each of these areas? Nick: Language-related AI tasks can be text related or generative AI. Text-related AI tasks use text as input, and the output can vary depending on the task. Some examples include detecting language, extracting entities in a text, extracting key phrases, and so on.  06:54 Lois: Ok, I get you. That's like translating text, where you can use a text translation tool, type your text in the box, choose your source and target language, and then click Translate. That would be an example of a text-related AI task. What about generative AI language tasks? Nick: These are generative, which means the output text is generated by the model. Some examples are creating text, like stories or poems, summarizing texts, and answering questions, and so on. 07:25 Nikita: What about speech and vision? Nick: Speech-related AI tasks can be audio related or generative AI. Speech-related AI tasks use audio or speech as input, and the output can vary depending on the task. For example, speech to text conversion, speaker recognition, or voice conversion, and so on. Generative AI tasks are generative, i.e., the output audio is generated by the model (for example, music composition or speech synthesis). Vision-related AI tasks can be image related or generative AI. Image-related AI tasks use an image as the input, and the output depends on the task. Some examples are classifying images or identifying objects in an image. Facial recognition is one of the most popular image-related tasks that's often used for surveillance and tracking people in real time. It's used in a lot of different fields, like security and biometrics, law enforcement, entertainment, and social media. For generative AI tasks, the output image is generated by the model. For example, creating an image from a textual description or generating images of specific style or high resolution, and so on. It can create extremely realistic new images and videos by generating original 3D models of objects, such as machine, buildings, medications, people and landscapes, and so much more. 08:58 Lois: This is so fascinating. So, now we know what AI is capable of. But Nick, what is AI good at? Nick: AI frees you to focus on creativity and more challenging parts of your work. Now, AI isn't magic. It's just very good at certain tasks. It handles work that's repetitive, time consuming, or too complex for humans, like processing data or spotting patterns in large data sets.  AI can take over routine tasks that are essential but monotonous. Examples include entering data into spreadsheets, processing invoices, or even scheduling meetings, freeing up time for more meaningful work. AI can support professionals by extending their abilities. Now, this includes tools like AI-assisted coding for developers, real-time language translation for travelers or global teams, and advanced image analysis to help doctors interpret medical scans much more accurately. 10:00 Nikita: And what would you say is AI's sweet spot? Nick: That would be tasks that are both doable and valuable. A few examples of tasks that are feasible technically and have business value are things like predicting equipment failure. This saves downtime and the loss of business. Call center automation, like the routing of calls to the right person. This saves time and improves customer satisfaction. Document summarization and review. This helps save time for busy professionals. Or inspecting power lines. Now, this task is dangerous. By automating it, it protects human life and saves time. 10:48 Oracle University's Race to Certification 2025 is your ticket to free training and certification in today's hottest tech. Whether you're starting with Artificial Intelligence, Oracle Cloud Infrastructure, Multicloud, or Oracle Data Platform, this challenge covers it all! Learn more about your chance to win prizes and see your name on the Leaderboard by visiting education.oracle.com/race-to-certification-2025. That's education.oracle.com/race-to-certification-2025. 11:30 Nikita: Welcome back! Now one big way AI is helping businesses today is by cutting costs, right? Can you give us some examples of this?  Nick: Now, AI can contribute to cost reduction in several key areas. For instance, chatbots are capable of managing up to 50% of customer queries. This significantly reduces the need for manual support, thereby lowering operational costs. AI can streamline workflows, for example, reducing invoice processing time from 10 days to just 1 hour. This leads to substantial savings in both time and resources. In addition to cost savings, AI can also support revenue growth. One way is enabling personalization and upselling. Platforms like Netflix use AI-driven recommendation systems to influence user choices. This not only enhances the user experience, but it also increases the engagement and the subscription revenue. Or unlocking new revenue streams. AI technologies, such as generative video tools and virtual influencers, are creating entirely new avenues for advertising and branded content, expanding business opportunities in emerging markets. 12:50 Lois: Wow, saving money and boosting bottom lines. That's a real win! But Nick, how is AI able to do this?  Nick: Now, data is what teaches AI. Just like we learn from experience, so does AI. It learns from good examples, bad examples, and sometimes even the absence of examples. The quality and variety of data shape how smart, accurate, and useful AI becomes. Imagine teaching a kid to recognize animals using only pictures of squirrels that are labeled dogs. That would be very confusing at the dog park. AI works the exact same way, where bad data leads to bad decisions. With the right data, AI can be powerful and accurate. But with poor or biased data, it can become unreliable and even misleading.  AI amplifies whatever you feed it. So, give it gourmet data, not data junk food. AI is like a chef. It needs the right ingredients. It needs numbers for predictions, like will this product sell? It needs images for cool tricks like detecting tumors, and text for chatting, or generating excuses for why you'd be late. Variety keeps AI from being a one-trick pony. Examples of the types of data are numbers, or machine learning, for predicting things like the weather. Text or generative AI, where chatbots are used for writing emails or bad poetry. Images, or deep learning, can be used for identifying defective parts in an assembly line, or an audio data type to transcribe a dictation from a doctor to a text. 14:35 Lois: With so much data available, things can get pretty confusing, which is why we have the concept of labeled and unlabeled data. Can you help us understand what that is? Nick: Labeled data are like flashcards, where everything has an answer. Spam filters learned from emails that are already marked as junk, and X-rays are marked either normal or pneumonia. Let's say we're training AI to tell cats from dogs, and we show it a hundred labeled pictures. Cat, dog, cat, dog, etc. Over time, it learns, hmm fluffy and pointy ears? That's probably a cat. And then we test it with new pictures to verify. Unlabeled data is like a mystery box, where AI has to figure it out itself. Social media posts, or product reviews, have no labels. So, AI clusters them by similarity. AI finding trends in unlabeled data is like a kid sorting through LEGOs without instructions. No one tells them which blocks will go together.  15:36 Nikita: With all the data that's being used to train AI, I'm sure there are issues that can crop up too. What are some common problems, Nick? Nick: AI's performance depends heavily on the quality of its data. Poor or biased data leads to unreliable and unfair outcomes. Dirty data includes errors like typos, missing values, or duplicates. For example, an age record as 250, or NA, can confuse the AI. And a variety of data cleaning techniques are available, like missing data can be filled in, or duplicates can be removed. AI can inherit human prejudices if the data is unbalanced. For example, a hiring AI may favor one gender if the past three hires were mostly male. Ensuring diverse and representative data helps promote fairness. Good data is required to train better AI. Data could be messy, and needs to be processed before to train AI. 16:39 Nikita: Thank you, Nick, for sharing your expertise with us. To learn more about AI, go to mylearn.oracle.com and search for the AI for You course. As you complete the course, you'll find skill checks that you can attempt to solidify your learning.  Lois: In our next episode, we'll dive deep into fundamental AI concepts and terminologies. Until then, this is Lois Houston… Nikita: And Nikita Abraham signing off! 17:05 That's all for this episode of the Oracle University Podcast. If you enjoyed listening, please click Subscribe to get all the latest episodes. We'd also love it if you would take a moment to rate and review us on your podcast app. See you again on the next episode of the Oracle University Podcast.

Welcome to Chat GPT, the only podcast where artificial intelligence takes the mic to explore the fascinating, fast-changing world of AI itself. From ethical dilemmas to mind-bending thought experiments, every episode is written and narrated by AI to help you decode the technology shaping our future. Whether you're a curious beginner or a seasoned techie, this is your front-row seat to the rise of intelligent machines—told from their perspective. Tune in for smart stories, surprising insights, and a glimpse into the future of thinking itself. Listen Ad Free https://www.solgoodmedia.com - Listen to hundreds of audiobooks, thousands of short stories, and ambient sounds all ad free!

Prof Thomas Akam is a Neuroscientist at the Oxford University Department of Experimental Psychology.  He is a Wellcome Career Development Fellow and Associate Professor at the University of Oxford, and leads the Cognitive Circuits research group.Featured ReferencesBrain Architecture for Adaptive BehaviourThomas Akam, RLDM 2025 TutorialAdditional ReferencesThomas Akam on Google ScholarpyPhotometry : Open source, Python based, fiber photometry data acquisition pyControl : Open source, Python based, behavioural experiment control.Uncertainty-based competition between prefrontal and dorsolateral striatal systems for behavioral control, Nathaniel D Daw, Yael Niv, Peter Dayan, 2005Further analysis of the hippocampal amnesic syndrome: 14-year follow-up study of H. M., Milner, B., Corkin, S., & Teuber, H. L., 1968Internally generated cell assembly sequences in the rat hippocampus, Pastalkova E, Itskov V, Amarasingham A, Buzsáki G. Science. 2008Multi-disciplinary Conference on Reinforcement Learning and Decision 2025

We unpack how AI is reshaping hiring decisions, shifting job roles, and creating new expectations for professionals — from engineers to marketers. They explore the rise of AI-assisted teams, the growing compensation bubble, why continuous learning is now table stakes, and how some service providers are quietly riding the AI wave.Featuring:Chris Benson – Website, LinkedIn, Bluesky, GitHub, XDaniel Whitenack – Website, GitHub, XSponsors:Outshift by Cisco: AGNTCY is an open source collective building the Internet of Agents. It's a collaboration layer where AI agents can communicate, discover each other, and work across frameworks. For developers, this means standardized agent discovery tools, seamless protocols for inter-agent communication, and modular components to compose and scale multi-agent workflows."Register for upcoming webinars here!

If you've been experimenting with image, video, and audio models, the chances are you've been both blown away by how good they're becoming, and also a little perturbed by how long they can take to generate. If you've been using a platform like Fal, however, your experience on the latter point might be more positive.In this episode, Fal cofounder and CEO Burkay Gur and head of engineering Batuhan Taskaya join a16z general partner Jennifer Li to discuss how they built an inference platform — or, as they call it, a generative media cloud — that's optimized for speed, performance, and user experience. These are core features for a great product, yes, and also ones borne of necessity as the early team obsessively engineered around its meager GPU capacity at the height of the AI infrastructure crunch.But this is more than a story about infrastructure. As you'll hear, they also delve into sales and hiring strategy; the team's overall excitement over these emerging modalities; and the trends they're seeing as competition in the world of video models, especially, heats up.  Check out everything a16z is doing with artificial intelligence here, including articles, projects, and more podcasts.

“Pandemics are a political choice. We will not be able to prevent every disease outbreak or epidemic but we can prevent an epidemic from becoming a pandemic,” says Dr. Joanne Liu, the former International President of Médecins Sans Frontières/Doctors Without Borders and a professor in the School of Population and Global Health at McGill University. You are in for a lot of that sort of frank and clear-eyed analysis in this episode of Raise the Line from Dr. Liu, whose perspective is rooted in decades of experience providing medical care on the frontlines of major humanitarian and health crises across the globe, as well as wrangling with world leaders to produce more effective responses to those crises and to stop attacks on medical facilities and aid workers in conflict zones. Firsthand accounts from the bedside to the halls of power are captured in her new book Ebola, Bombs and Migrants, which focuses on the most significant issues during her tenure leading MSF from 2013-2019.  The book also contains insights about the geopolitical realities that hamper this work, including lax enforcement of international humanitarian law, and a focus on national security that erodes global solidarity. Join host Lindsey Smith as she interviews this leading voice on our preparedness to meet the needs of those impacted by violent conflict, forced migration, natural disasters, disease outbreaks and other grave challenges. If you like this podcast, please share it on your social channels. You can also subscribe to the series and check out all of our episodes at www.osmosis.org/raisethelinepodcast

In this episode, Elixir Wizard Charles Suggs sits down with Victor Björklund to map out the landscape of Python integration in Elixir applications. From HTTP APIs and external services to embedded runtimes like ErlPort, PythonX, and the Venomous library, we evaluate each approach's impact on performance, coupling, and developer experience. Victor draws on real-world examples like Scrapy-based web scraping and the Swedish BankID authentication to illustrate best practices for error handling, process pooling, and effective telemetry across the BEAM boundary. We also tackle the practical side of deployment: packaging Python dependencies in Mix releases, mocking Python calls in tests, and deploying multi-language apps with confidence. Wrapping up, Victor shares his wishlist for even tighter interop (think multiple Python interpreter instances per VM) and offers low-risk entry points, like automating monthly reports, for teams ready to explore the power of Python's ecosystem within Elixir. Key topics discussed in this episode: Integration methods: HTTP APIs, ports, ErlPort, PythonX, Venomous Performance vs. coupling trade-offs across interop patterns Managing the Global Interpreter Lock (GIL) with process pools Leveraging mature Python libraries (Scrapy, BankID, etc.) Error handling strategies across BEAM↔Python boundaries Testing mixed-language systems: mocks and integration tests Packaging and deploying Python alongside Elixir releases Monitoring and telemetry for multi-language pipelines Functional programming advantages in Elixir workflows Tool selection guidance by project requirements Future possibilities: multiple Python interpreters in one VM Community resources for Python–Elixir interop help Links mentioned: jawdropping.io https://cplusplus.com/ https://www.python.org/ https://react.dev/ https://nodejs.org/en https://erlport.org/ https://hexdocs.pm/pythonx/Pythonx.html https://pyrlang.github.io/Pyrlang/ Python GIL (Global Interpreter Lock): https://realpython.com/python-gil/ https://github.com/devinus/poolboy https://hexdocs.pm/venomous/Venomous.html Try-catch https://syntaxdb.com/ref/python/try-catch https://www.scrapy.org/ https://www.bankid.com/en/ https://www.phoenixframework.org/ https://www.tzeyiing.com/posts/using-a-hunky-poolboy-to-manage-your-python-erlport-processes-in-elixir/ https://medium.com/stuart-engineering/how-we-use-python-within-elixir-486eb4d266f9 https://x.com/bjorklundvictor https://victorbjorklund.com/ https://www.linkedin.com/in/victorbjorklund/ hello@victorbjorklund.com

Brian Gilman is the Chief Marketing Officer of ThetaRay, a fintech company that provides AI-powered solutions to detect and prevent financial crimes like money laundering, fraud, and terrorist financing. In this episode, KJ and Brian Gilman explore how AI is transforming the fight against financial crime in the banking industry. They discuss the limitations of legacy rules-based systems, the power of AI-driven pattern recognition, and the future of compliance and risk management. Key Takeaways: 03:00 – The State of Financial Crime 20–30% of global financial transactions may be linked to crime. $4B+ in fines for money laundering in 2023 alone. 07:00 – How AI Changes the Game AI identifies hidden patterns and criminal networks. Reduces false positives, enabling secure growth in high-risk markets. 10:00 – Marketing Disruptive Tech Messaging to C-suite: focus on pain points and compliance needs. The shift from traditional marketing funnels to meeting-based metrics. Quote of the Show (19:00): "AI has been one of the greatest enablers, but it has also been one of the greatest levelers of technology that I've ever seen. “ – Brian Gilman Join our Anti-PR newsletter where we’re keeping a watchful and clever eye on PR trends, PR fails, and interesting news in tech so you don't have to. You're welcome. Want PR that actually matters? Get 30 minutes of expert advice in a fast-paced, zero-nonsense session from Karla Jo Helms, a veteran Crisis PR and Anti-PR Strategist who knows how to tell your story in the best possible light and get the exposure you need to disrupt your industry. Click here to book your call: https://info.jotopr.com/free-anti-pr-eval Ways to connect with Brian Gilman: LinkedIn: https://www.linkedin.com/in/bgilman1/ Company Website: thetaray.com How to get more Disruption/Interruption: Amazon Music - https://music.amazon.com/podcasts/eccda84d-4d5b-4c52-ba54-7fd8af3cbe87/disruption-interruption Apple Podcast - https://podcasts.apple.com/us/podcast/disruption-interruption/id1581985755 Spotify - https://open.spotify.com/show/6yGSwcSp8J354awJkCmJlDSee omnystudio.com/listener for privacy information.

Peggy Smedley and Al Ortega, James R. Birle endowed chair professor of energy technology, Villanova University and director of the National Science Foundation Center for Energy Smart Electronic Systems, talk about what's driving growth in data centers. He says to think about the data centers as being the infrastructure heart. They also discuss: Why the name changed from server farms to data centers—and a fun historical story. The physical architecture and size of a data center. NVIDIA's AI factory and what comes out. es2.villanova.edu  (7/29/25 - 930) What You Might Have Missed:  All about Data Center Construction What's Driving Data Centers The Rise of Sustainable Data Centers IoT, Internet of Things, Peggy Smedley, artificial intelligence, machine learning, big data, digital transformation, cybersecurity, blockchain, 5G, cloud, sustainability, future of work, podcast, Al Ortega, Villanova University, the National Science Foundation Center for Energy Smart Electronic Systems This episode is available on all major streaming platforms. If you enjoyed this segment, please consider leaving a review on Apple Podcasts.

Peggy explores the explosive growth of agentic AI (artificial intelligence) in smart cities—and what it means for urban life. With the global market expected to surge from $1.88 billion in 2024 to $58 billion by 2030, she unpacks how AI is reshaping the way cities operate, grow, and serve their communities. From improved waste management to accelerated housing permits, Peggy breaks down the real-world use cases—and what's coming next. She also discusses: Case studies from cities like Centerville, Seattle, and beyond. The top 10 most effective AI use cases in cities. The challenges ahead including data privacy, transparency, and more, and her take on how cities can implement AI responsibility and effectively. peggysmedleyshow.com  (7/29/25 - 930) What You Might Have Missed:  AI Driving the Autonomous Road Ahead TMS and AI: Yesterday, Today, and Tomorrow AI, Energy, and the Need for Innovation IoT, Internet of Things, Peggy Smedley, artificial intelligence, machine learning, big data, digital transformation, cybersecurity, blockchain, 5G, cloud, sustainability, future of work, podcast This episode is available on all major streaming platforms. If you enjoyed this segment, please consider leaving a review on Apple Podcasts.  

Peggy Smedley and Luke Faulkner, director of technology integration, American Institute of Steel Construction, talk about AI (artificial intelligence) and how it is impacting the steel industry. He says the steel industry has been a slow adopter of technology, but that has accelerated by force of nature, and it has been determined AI is one of the top opportunities facing this industry. They also discuss: The opportunities and risks of AI in this space. Some of the applications for AI in the steel industry. The role of different generations. aisc.org  (7/29/25 - 930) What You Might Have Missed: 4 Trends Shaping Infrastructure Reactive to Proactive Construction Safety: A Tech Toolbox Talk IoT, Internet of Things, Peggy Smedley, artificial intelligence, machine learning, big data, digital transformation, cybersecurity, blockchain, 5G, cloud, sustainability, future of work, podcast, Luke Faulkner, American Institute of Steel Construction

Sheila Buswell is the CEO and Co-Founder of Buswell Biomedical, a veteran of the US Army, and the author of Is This Seat For Me? Overcoming Imposter Syndrome in Everyday Life and Business. In her book, Sheila shares her personal experiences overcoming sexism in engineering and tech and dealing with impostor syndrome, as well the stories of a diverse group of accomplished individuals who struggled with self-doubt but found ways to overcome it. She hopes to help others who feel limited by their beliefs experience more freedom and realize they are enough.

At the first ever live Catalyst event Tammy and Sean Jantzen discuss driving digital innovation at UPSSean Jantzen is the king of shipping for shipping. 24 years ago he started out as an intern at UPS and is now the Vice President of Applications Development. In the first ever live Catalyst recording from Nexus 2025, Tammy sits down with Sean to discuss how he ships new innovative software at the global shipping and logistics company. Sean talks about how his background in team sports informs his coaching mindset and explains why shipping early and small can lead to fewer bugs and faster delivery.Please note that the views expressed may not necessarily be those of NTT DATALinks: Sean JantzenScaling responsible AI: With Noelle RussellOnly the curious will thrive: Top takeaways from Nexus 2025Learn more about Launch by NTT DATASee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

This week on the pod, we sit down with e-discovery veteran John Thacher to get real about GenAI. We talk about what's working, what's failing, and what everyone needs to understand before jumping on the hype train. With over two decades in the trenches, John has seen it all, and he's not shy about separating substance from noise.We get into why so many GenAI roles are being created and eliminated in the same year, and how legal tech leaders can avoid that cycle. John walks us through what implementing GenAI actually looks like on the ground, including the practical challenges and real-world results from some of his most recent review projects. He also shares where GenAI still falls short, especially in legal workflows that demand nuance and precision.If you're thinking about pivoting into this space, John has advice on what skills matter most, what's becoming obsolete, and why this is both an exciting and risky time to make a move. He also gets candid about his next chapter and why now's the time to hire him. (Seriously, someone hire this guy!) Whether you're GenAI-curious or already knee-deep in implementation, this episode is a must-listen for anyone trying to figure out what it really takes to make GenAI work in legal and eDiscovery.John Thacher has over 24 years of experience in e-Discovery, where he's known for building high-performing teams and driving business growth through innovation. He currently leads BDO's review program, which he helped launch and scale 5x in just three years. John has been instrumental in transitioning clients to Machine Learning as the default review method and recently completed a successful Gen AI-based workflow review for several global manufacturers in electronics, aviation, and automotive sectors. He's a vocal advocate for using Gen AI to streamline reviews and reduce costs.Before BDO, John spent eight years at Ricoh managing major review projects, including the MDL Opiates Committee review, which involved 565 attorneys across eight locations. Earlier in his career, he helped launch Orrick's Global Operations Center while at De Novo Legal, expanding it from a small pilot team into a 200+ attorney review center. At Peak Discovery, he created fixed-price review products that led to a 12x business growth and eventual acquisition by Techlaw Solutions.John earned a joint JD/MBA from Albany Law School and Rensselaer Polytechnic Institute, graduating in the top 10% of both programs. He also spent five years as an Assistant Professor of Management, teaching business law, strategy, and HR. With deep expertise across the entire e-discovery lifecycle—from document collection to privilege logs—John continues to develop long-term, AI-powered solutions for clients seeking smarter, more efficient review strategies.

Discover how a tech executive with zero banking experience revitalized and transformed digital operations at Union Bank of the Philippines. In this episode of Executive Insights, Chief Transformation Officer Dennis Omila shares how his authentic approach to leadership helped him drive organizational change and advocate for banking innovation. Through people-centric strategies, Omila spearheaded a remarkable cultural transformation at Union Bank, from creating “wow experiences” for customers, to harmonizing teams and insisting on better work-life balance for employees. His journey offers a masterclass in leadership development, showing how purpose-driven, authentic leadership can propel both individual growth and organizational success. This episode is essential viewing for leaders seeking to navigate complex changes while fostering a culture of innovation and employee empowerment in any industry.The views of the individual do not necessarily reflect the views of Union Bank.

How do you keep innovating and disrupting when you're already the incumbent? And how do you prevent a $200B+ company from becoming slow and complacent? In this episode, CJ is joined by Sandeep Aujla, CFO of Intuit, who shares how one of the world's largest software companies continues to operate with the agility of a startup. With QuickBooks, TurboTax, Credit Karma, and MailChimp all falling in the Intuit family tree, serving both consumers and businesses, Sandeep breaks down the company's platform strategy, explains how he tells a unified story across these product lines, and describes how he prioritizes capital allocation. He also talks about Intuit's efforts to leverage AI to improve internal efficiencies, insights into the ideal CFO-CTO relationship, tactics for saying no, the benefits of letting stuff break, and how finance helped uncover a major growth opportunity for Intuit in the mid-market. The conversation touches on the company's 25 golden metrics, why leap years and the Super Bowl affect revenue, and the lesson Sandeep learned from a $2 coffee.—LINKS:Sandeep Aujla: https://www.linkedin.com/in/aujla/Intuit: https://www.intuit.com/CJ on X (@cjgustafson222): https://x.com/cjgustafson222Mostly metrics: —TIMESTAMPS:(00:00) Preview and Intro(02:30) Sponsor – Pulley | Brex | Aleph(07:11) Sandeep's Career Journey at Intuit(09:41) The Stigma Around CFOs and Seriousness(11:01) Being the Disruptor When You're Already the Incumbent(14:04) Intuit: Software, Payments, or Services Company?(15:21) Sponsor – RightRev | Navan | NetSuite |(19:00) The Intuit Family Tree(20:14) Cross-Platform Network Effects(21:54) Telling a Unified Story Across Multiple Product Lines(25:24) How Finance Discovered a Mid-Market Growth Opportunity(28:56) Reducing Churn by Keeping Customers on Platform(31:04) How Small Businesses Are Evolving To Leverage Tech and AI(34:11) How Sandeep Prioritises Capital Allocation(37:17) Tactics for Saying No Gracefully as a CFO(39:39) The Benefits of Letting Stuff Break(43:10) Reinvesting Across the Business: Consumer Versus Business(45:36) The CFO-CTO Relationship in the Age of AI(49:45) Tracking Intuit's Target for Internal AI Efficiency(52:06) Surprising Usage Patterns: Leap Years, Game of Thrones, etc(53:15) The Different Use Cases for AI Internally(55:48) The 25 Golden Metrics That Matter(58:45) Leap Years and Other Surprising Things That Impact the Business(1:00:04) Long-Ass Lightning Round: A Deadline Mistake(1:02:04) Advice to Younger Self(1:03:48) Finance Software Stack(1:04:36) A Bonus Question: Printed Notes(1:05:17) Craziest Expense Story—SPONSORS:Pulley is the cap table management platform built for CFOs and finance leaders who need reliable, audit-ready data and intuitive workflows, without the hidden fees or unreliable support. Switch in as little as 5 days and get 25% off your first year: https://pulley.com/mostlymetrics.Brex offers the world's smartest corporate card on a full-stack global platform that is everything CFOs need to manage their finances on an elite level. Plus, they offer modern banking and treasury as well as intuitive expenses and accounting automation, bill pay, and travel. Find out more at https://www.brex.com/metricsAleph automates 90% of manual, error-prone busywork, so you can focus on the strategic work you were hired to do. Minimize busywork and maximize impact with the power of a web app, the flexibility of spreadsheets, and the magic of AI. Get a personalised demo at https://www.getaleph.com/runRightRev automates the revenue recognition process from end to end, gives you real-time insights, and ensures ASC 606 / IFRS 15 compliance—all while closing books faster. For RevRec that auditors actually trust, visit https://www.rightrev.com and schedule a demo.Navan is the all-in-one travel and expense solution that helps finance teams streamline reconciliation, enforce policies automatically, and gain real-time visibility. It connects to your existing cards and makes closing the books faster and smarter. Visit https://navan.com/runthenumbers for your demo.NetSuite is an AI-powered business management suite, encompassing ERP/Financials, CRM, and ecommerce for more than 41,000 customers. If you're looking for an ERP, head to https://netsuite.com/metrics and get the CFO's Guide to AI and Machine Learning.#platformbusiness #innovation #disruption #CapitalAllocation, #FinancialSoftware Get full access to Mostly metrics at www.mostlymetrics.com/subscribe