Making artificial intelligence practical, productive & accessible to everyone. Practical AI is a show in which technology professionals, business people, students, enthusiasts, and expert guests engage in lively discussions about Artificial Intelligence and related topics (Machine Learning, Deep Learning, Neural Networks, GANs, MLOps, AIOps, LLMs & more). The focus is on productive implementations and real-world scenarios that are accessible to everyone. If you want to keep up with the lates ...
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Synthetic Data Generation Podcasts
The Datamam Podcast explores how public data is transforming modern industries. The show dives into real-world use cases of web scraping, data intelligence, and AI, from market analysis and competitive benchmarking to ethical debates and automation trends. Each episode breaks down complex data topics into engaging conversations for tech leaders, founders, and data professionals looking to stay ahead in a data-driven world.
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How is the use of artificial intelligence (AI) shaping our human experience? Kimberly Nevala ponders the reality of AI with a diverse group of innovators, advocates and data scientists. Ethics and uncertainty. Automation and art. Work, politics and culture. In real life and online. Contemplate AI’s impact, for better and worse. All presentations represent the opinions of the presenter and do not represent the position or the opinion of SAS.
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The Mind the Data Gap podcast focuses on modern data practices and their impact on software dev and testing and applications in data science. Together with our guests, some of the greatest minds in the world of data, we deep dive into the most important data trends and topics. Your host is Nicolai Baldin, CEO and Founder of Synthesized. Mind the Data Gap is is the official podcast of Synthesized.io, a development framework that enables any company to optimal datasets for their testing and da ...
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Experts in the tech, content and data fields share their insights on the future of creativity and brand experience. Brought to you by Jack X, Jack Morton's innovation practice. A team helping brands predict and prepare for tomorrow.
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The Testing Show explores, pokes and prods anything and everything related to testing, with new episodes released every other Wednesday. Our hosts, Matt Heusser and Michael Larsen, will analyze tried and true methodologies and practices against on trend and emerging topics. We have a range of guest contributors from Qualitest as well as industry experts from around the world to share insights, knowledge and personal experience. So take minute to find out what others are saying in the testing ...
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Welcome to the Red Hot Healthcare show, hosted by Dr. Steve Ambrose. Your go-to podcast for forward-thinking, cutting-edge conversations with today's top healthcare luminaries and business leaders. This shows is not about softball questions or neatly-packaged sales enablement for show guests. It's about bringing the voice of candid thought leaders and forward-thinking visionaries into your mindspace. We cover trends, news, challenges, technology, and opportunities across all segments of the ...
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The impact of AI on the workforce: A state-level case study
44:04
44:04
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44:04Daniel sits down with Chelsea Linder, VP of Innovation and Entrepreneurship at TechPoint, to explore the what AI innovation and impact look like on the ground. They discuss Chelsea's journey from the VC world into economic development/ innovation, the growth of an AI innovation network in Indiana (funded by the SBA), lessons learned from fostering …
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To Be or Not to Be Agentic with Maximilian Vogel
51:19
51:19
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51:19Maximilian Vogel dismisses tales of agentic unicorns, relying instead on human expertise, rational objectives, and rigorous design to deploy enterprise agentic systems. Maximilian and Kimberly discuss what an agentic system is (emphasis on system); why agency in agentic AI resides with humans; engineering agentic workflows; agentic AI as a mule not…
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Longtime friend of the show Rajiv Shah returns to unpack lessons from a year of building retrieval-augmented generation (RAG) pipelines and reasoning models integrations. We dive into why so many AI pilots stumble, why evaluation and error analysis remain essential data science skills, and why not every enterprise challenge calls for a large langua…
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Creating a private AI assistant in Thunderbird
53:08
53:08
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53:08In this episode, Daniel and Chris are joined by Chris Aquino, software engineer at Thunderbird to hear the story of how they developed a privacy-preserving AI executive assistant. They discuss various design decisions including remote (but confidential) inference, local encryption, and model selection. Chris A. does an amazing job describing the jo…
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The Problem of Democracy with Henrik Skaug Sætra
54:04
54:04
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54:04Henrik Skaug Sætra considers the basis of democracy, the nature of politics, the tilt toward digital sovereignty and what role AI plays in our collective human society. Henrik and Kimberly discuss AI’s impact on human comprehension and communication; core democratic competencies at risk; politics as a joint human endeavor; conflating citizens with …
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In this Fully Connected episode, we dig into the recent MIT report revealing that 95% of AI pilots fail before reaching production and explore what it actually takes to succeed with AI solutions. We dive into the importance of AI model integration, asking the right questions when adopting new technologies, and why simply accessing a powerful model …
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Testing AI in the National Health Service (NHS)
42:02
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42:02In this episode, we dive into how artificial intelligence is being developed, tested, and trusted within the UK's National Health Service. Our guest is Adam Byfield, a principal technical assurance specialist with a unique journey from astrophysics to AI assurance. Adam leads a team adapting traditional software testing methods to ensure AI tools i…
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Daniel and Chris sit with Citadel AI’s Rick Kobayashi and Kenny Song and unpack AI safety and security challenges in the generative AI era. They compare Japan’s approach to AI adoption with the US’s, and explore the implications of real-world failures in AI systems, along with strategies for AI monitoring and evaluation. Featuring: Rick Kobayashi –…
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Generating Safety Not Abuse with Dr. Rebecca Portnoff
46:35
46:35
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46:35Dr. Rebecca Portnoff generates awareness of the threat landscape, enablers, challenges and solutions to the complex but addressable issue of online child sexual abuse. Rebecca and Kimberly discuss trends in online child sexual abuse; pillars of impact and harm; how GenAI expands the threat landscape; personalized targeting and bespoke abuse; Thorn’…
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Dan and Chris break down Winning the Race: America's AI Action Plan, issued by the White House in July 2025. Structured as three "pillars" — Accelerate AI Innovation, Build American AI Infrastructure, and Lead in International AI Diplomacy and Security — our dynamic duo unpack the plan's policy goals and its associated suggestions — while also expl…
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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, a…
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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 acros…
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Hiwot Tesfaye disputes the notion of AI givers and takers, challenges innovation as an import, highlights untapped global potential, and charts a more inclusive course. Hiwot and Kimberly discuss the two camps myth of inclusivity; finding innovation everywhere; meaningful AI adoption and diffusion; limitations of imported AI; digital colonialism; l…
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Workforce dynamics in an AI-assisted world
44:06
44:06
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44:06We 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 B…
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Scraping for Awareness: How Smart Companies Turn Public Data Into Strategic Advantage
7:59
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7:59In this episode of the Datamam Podcast, we explore how companies use web scraping to move beyond dashboards and build real-time market awareness. From detecting competitor moves and monitoring inventory shifts to uncovering regulatory changes and unauthorized sellers, scraping has become a strategic sensor system. We dive into use cases across CPG,…
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In this episode, Chris sits down with Igor Nikitin, CEO and co-founder of Nice Technologies, to explore how AI and modern engineering practices are transforming the actuarial field and setting the stage for the future of actuarial modeling. We discuss the introduction of programming into insurance pricing workflows, and how their Python-based calc …
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The Shape of Synthetic Data with Dietmar Offenhuber
52:07
52:07
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52:07Dietmar Offenhuber reflects on synthetic data’s break from reality, relates meaning to material use, and embraces data as a speculative and often non-digital artifact. Dietmar and Kimberly discuss data as a representation of reality; divorcing content from meaning; data settings vs. data sets; synthetic data quality and ground truth; data as a spec…
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In this episode of Practical AI, Chris and Daniel explore the fascinating world of agentic AI for drone and robotic swarms, which is Chris's passion and professional focus. They unpack how autonomous vehicles (UxV), drones (UaV), and other autonomous multi-agent systems can collaborate without centralized control while exhibiting complex emergent b…
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A Question of Humanity with Pia Lauritzen, PhD
55:48
55:48
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55:48Pia Lauritzen questions our use of questions, the nature of humanity, the premise of AGI, the essence of tech, if humans can be optimized and why thinking is required. Pia and Kimberly discuss the function of questions, curiosity as a basic human feature, AI as an answer machine, why humans think, the contradiction at the heart of AGI, grappling wi…
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AI in the shadows: From hallucinations to blackmail
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44:50In the first episode of an "AI in the shadows" theme, Chris and Daniel explore the increasing concerning world of agentic misalignment. Starting out with a reminder about hallucinations and reasoning models, they break down how today’s models only mimic reasoning, which can lead to serious ethical considerations. They unpack a fascinating (and slig…
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In this episode, we sit down with Joey Conway to explore NVIDIA's open source AI, from the reasoning-focused Nemotron models built on top of Llama, to the blazing-fast Parakeet speech model. We chat about what makes open foundation models so valuable, how enterprises can think about deploying multi-model strategies, and why reasoning is becoming th…
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Can AI-driven autonomy reduce harm, or does it risk dehumanizing decision-making? In this “AI Hot Takes & Debates” series episode, Daniel and Chris dive deep into the ethical crossroads of AI, autonomy, and military applications. They trade perspectives on ethics, precision, responsibility, and whether machines should ever be trusted with life-or-d…
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A Healthier AI Narrative with Michael Strange
59:51
59:51
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59:51Michael Strange has a healthy appreciation for complexity, diagnoses hype as antithetical to innovation and prescribes an interdisciplinary approach to making AI well. Michael and Kimberly discuss whether AI is good for healthcare; healthcare as a global system; radical shifts precipitated by the pandemic; why hype stifles nuance and innovation; ho…
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Behind the Code: How Modern Web Scraping Really Works
9:31
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9:31What really powers the modern web scraping stack? In this episode, we break down the tools, techniques, and infrastructure behind large-scale data extraction from Selenium and Beautiful Soup to API scraping and proxy management. Whether you're just starting out or scaling operations across thousands of pages, this is your hands-on guide to turning …
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Behind-the-Scenes: VC Funding for AI Startups
41:48
41:48
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41:48It seems like we are bombarded by news about millions of dollars pouring into AI startups, which have crazy valuations. In this episode, Chris and Dan dive deep into the highs, lows, and hard choices behind funding an AI startup. They explore early bootstrapping, the transition to venture capital, and what it’s like to trade in code commits for inv…
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An recent article in Variety was titled: "Sylvester Stallone-Backed Largo.ai Teams With Brilliant Pictures for ‘World’s First Fully AI-Automated Film Company’". Obviously this caught our attention! We sit down with Sami Arpa, CEO of Largo.ai, to unpack how films are developed, funded, and brought to life using AI. We discover how tools like script …
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Is Web Scraping Legal? Risks & Real-World Use Cases
10:03
10:03
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10:03This episode explores the legal gray zones and ethical boundaries of web scraping, highlighting landmark court cases, websites' defensive tactics, and real-world applications across industries like law, real estate, and e-commerce. It is a must-listen for anyone working with data at scale.By Datamam
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Andriy Burkov talks down dishonest hype and sets realistic expectations for when LLMs, if properly and critically applied, are useful. Although maybe not as AI agents. Andriy and Kimberly discuss how he uses LLMs as an author; LLMs as unapologetic liars; how opaque training data impacts usability; not knowing if LLMs will save time or waste it; err…
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Federated learning in production (part 2)
45:25
45:25
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45:25Chong Shen from Flower Labs joins us to discuss what it really takes to build production-ready federated learning systems that work across data silos. We talk about the Flower framework and it's architecture (supernodes, superlinks, etc.), and what makes it both "friendly" and ready for real enterprise environments. We also explore how the generati…
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The Hidden World of Web Scraping: Ethics and Innovations
7:08
7:08
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7:08Web scraping powers everything from market intelligence to AI training, but most people have no idea how it really works. In this episode, we reveal the hidden world of web scraping. Explore how companies, from small retailers to major financial firms, use scraping to make smarter, faster decisions. You’ll hear real-world examples, learn how modern…
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Federated learning in production (part 1)
44:38
44:38
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44:38In this first of a two part series of episodes on federated learning, we dive into the evolving world of federated learning and distributed AI frameworks with Patrick Foley from Intel. We explore how frameworks like OpenFL and Flower are enabling secure, collaborative model training across silos, especially in sensitive fields like healthcare. The …
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Reframing Responsible AI with Ravit Dotan
59:55
59:55
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59:55Ravit Dotan, PhD asserts that beneficial AI adoption requires clarity of purpose, good judgment, ethical leadership, and making responsibility integral to innovation. Ravit and Kimberly discuss the philosophy of science; why all algorithms incorporate values; how technical judgements centralize power; not exempting AI from established norms; when l…
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Loïc Houssier, Head of Engineering at Superhuman, joins us to discuss how AI and LLMs are reshaping the email experience. He highlights challenges related to the variability of user prompts and infrastructure optimization. Loïc emphasizes that a deep focus on user experience and real human workflows is key to building AI tools people actually love …
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Dr. Ash Watson studies how stories ranging from classic Sci-Fi to modern tales invoking moral imperatives, dystopian futures and economic logic shape our views of AI. Ash and Kimberly discuss the influence of old Sci-Fi on modern tech; why we can’t escape the stories we’re told; how technology shapes society; acting in ways a machine will understan…
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In this episode, Daniel and Chris unpack the Model Context Protocol (MCP), a rising standard for enabling agentic AI interactions with external systems, APIs, and data sources. They explore how MCP supports interoperability, community contributions, and a rapidly developing ecosystem of AI integrations. The conversation also highlights some real-wo…
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In this episode, Matthew Heusser and Michael Larsen welcome Pat Rinaldo and Naresh Kumar Nunna to discuss the importance of synthetic test data for organizations that handle large amounts of customer data and cannot use real data due to privacy concerns. Ally Bank, working with Qualitest, has successfully leveraged synthetic data to enable faster i…
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In this episode, we explore the intersection of AI, machine learning, and healthcare through the lens of neuroimaging and epilepsy diagnosis. Dr. Gavin Winston shares insights from his work using MRI data and machine learning to uncover subtle abnormalities in brain function. We discuss the cultural and ethical barriers to AI adoption in medicine, …
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For the second part of our Women in Testing podcast Matthew Heusser and Michael Larsen welcome guest moderator Gwen Iarussi and guests Alexis Bell, Sangeetha Gururaj, and Lihi Segev to discuss the challenges faced by women leaders, and strategies for overcoming bias and creating opportunities for diverse talent, including stepping outside of their …
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Vibe coding, agentic workflows, and AI-assisted pull requests? In this episode, Daniel and Chris chat with Robert Brennan and Graham Neubig of All Hands AI about how AI is transforming software development—from senior engineer productivity to open source agents that address GitHub issues. They dive into trust, tooling, collaboration, and what it me…
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Regulating Addictive AI with Robert Mahari
54:24
54:24
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54:24Robert Mahari examines the consequences of addictive intelligence, adaptive responses to regulating AI companions, and the benefits of interdisciplinary collaboration. Robert and Kimberly discuss the attributes of addictive products; the allure of AI companions; AI as a prescription for loneliness; not assuming only the lonely are susceptible; regu…
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For this Episode, we welcome guest moderator Gwen Iarussi for an International take on women in testing roles from the front lines to senior management. Gwen hosts Alexis Bell, Sangeetha Gururaj, and Lihi Seghev to discuss their individual paths to success, the importance of sponsorship, mentorship, and advocating for oneself, strategies for overco…
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Orchestrating agents, APIs, and MCP servers
42:52
42:52
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42:52In this episode, Daniel sits down with Pavel Veller, EPAM’s Chief Technologist, to explore the practical challenges of orchestrating many AI agents and managing connections to disparate systems/tools. Pavel shares insights from his hands-on work with agentic architectures and internal tools like "DIAL". Pavel also helps us understand things like MC…
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Software and hardware acceleration with Groq
43:24
43:24
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43:24How do you enable AI acceleration (at both the hardware and software layers) that stays ahead of rapid industry shifts? In this episode, Dhananjay Singh from Groq dives into the evolving landscape of AI inference and acceleration. We explore how Groq optimizes the serving layer, adapts to industry shifts, and supports emerging model architectures. …
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AI Literacy for All with Phaedra Boinodiris
43:24
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43:24Phaedra Boinodiris minds the gap between AI access and literacy by integrating educational siloes, practicing human-centric design, and cultivating critical consumers. Phaedra and Kimberly discuss the dangerous confluence of broad AI accessibility with lagging AI literacy and accountability; coding as a bit player in AI design; data as an artifact …
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Kyle Daigle, COO of GitHub, joins the hosts to discuss the evolving role of AI in software development, GitHub Copilot’s impact, and the challenges of AI-assisted coding. The conversation covers licensing concerns, ethical considerations, and how developers can navigate these complexities. Kyle also shares his vision for ambient AI, which seamlessl…
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Ryan Carrier trues up the benefits and costs of responsible AI while debunking misleading narratives and underscoring the positive power of the consumer collective. Ryan and Kimberly discuss the growth of AI governance; predictable resistance; the (mis)belief that safety impedes innovation; the “cost of doing business”; downside and residual risk; …
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Optimizing for efficiency with IBM’s Granite
43:38
43:38
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43:38We often judge AI models by leaderboard scores, but what if efficiency matters more? Kate Soule from IBM joins us to discuss how Granite AI is rethinking AI at the edge—breaking tasks into smaller, efficient components and co-designing models with hardware. She also shares why AI should prioritize efficiency frontiers over incremental benchmark gai…
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How can every single person build a personal AI protégé and then accumulate (and share) a host of other assistants? In this episode, we dive into the world of no-code AI with Scott Meyer from Chipp.ai. We discuss AI tooling for people that can't code, the cultural shift that needs to happen for widespread AI adoption in businesses, and the predicte…
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Olivia Gambelin values ethical innovation, revels in human creativity and curiosity, and advocates for AI systems that reflect and enable human values and objectives. Olivia and Kimberly discuss philogagging; us vs. “them” (i.e. AI systems) comparisons; enabling curiosity and human values; being accountable for the bombs we build - figuratively spe…
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It seems like all we hear about are the great use cases for GenAI, but where should you NOT be using the technology? On this episode Chris and Daniel share their hot takes and bad use cases. Some may surprise you! Join the discussion Changelog++ members save 3 minutes on this episode because they made the ads disappear. Join today! Sponsors: Domo –…
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