Practical AI

by Practical AI LLC
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 latest advances in AI, while keeping one foot in the real world, then this is the show for you!
Episodes

AI at the Edge is a different operating environment
<p>What does “AI at the edge” really mean in 2026, and why does it matter now more than ever before? In this episode, we’re joined by Brandon Shibley, Edge AI Solutions Engineering Lead at Qualcomm’s Edge Impulse, to discuss the current state and future of Edge AI in 2026. We discuss Gen AI, Small Models, and Cascades of Models, along with real-world constraints like latency, power, and privacy. We also dive into the role of MLOps, evolving hardware, and how developers can start building practical edge AI systems today.</p><p>Featuring:</p><ul><li>Brandon Shibley –<a href="https://www.linkedin.com/in/shibley/"> LinkedIn</a></li><li>Chris Benson – <a href="https://chrisbenson.com/">Website</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://bsky.app/profile/chrisbenson.bsky.social">Bluesky</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Links:</p><ul><li><a href="https://www.edgeimpulse.com/ebooks/the-ultimate-guide-to-edge-ai?utm_medium=inbound&utm_source=organic-social&utm_campaign=40531789-Q22026_practicalai_podcast">Read our Ultimate Guide to Edge AI</a></li><li>Download your copy of <a href="https://www.edgeimpulse.com/ai-at-the-edge?utm_medium=inbound&utm_source=organic-social&utm_campaign=40531789-Q22026_practicalai_podcast">O'Reilly's AI at the Edge</a> </li><li>Check out the Edge Impulse <a href="https://www.edgeimpulse.com/blog?utm_medium=inbound&utm_source=organic-social&utm_campaign=40531789-Q22026_practicalai_podcast">blog</a></li><li>Sign-up for an <a href="https://www.edgeimpulse.com/expert-led-trial?utm_medium=inbound&utm_source=organic-social&utm_campaign=40531789-Q22026_practicalai_podcast">expert led trial </a>of Edge Impulse</li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>

Humility in the Age of Agentic Coding
<p>What happens when an AI hater starts building with AI agents? In this episode, we talk with software engineer Steve Klabnik, known for his work on the Rust programming language, about his journey from criticizing AI to experimenting with it firsthand. We explore Steve’s programming language Rue, largely built with the help of AI tools like Claude, and discuss what this means for software engineering and the future of coding in an AI-driven world.</p><p>Featuring:</p><ul><li>Steve Klabnik –<a href="https://www.linkedin.com/in/steve-klabnik/"> LinkedIn</a></li><li>Chris Benson – <a href="https://chrisbenson.com/">Website</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://bsky.app/profile/chrisbenson.bsky.social">Bluesky</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Links:</p><ul><li><a href="https://doc.rust-lang.org/book/title-page.html#the-rust-programming-language">The Rust Programming Language</a></li><li><a href="https://rust-lang.org/">Rust</a></li><li><a href="https://rue-lang.dev/">Rue</a></li><li><a href="https://meetings.hubspot.com/catherine-katie/rsa-cyber-expo-start-up-march-23">Daniel's RSA Meeting link for March 23, 2026</a></li><li><a href="https://meetings.hubspot.com/catherine-katie/rsa-superprime-booking">Daniel's RSA Meeting link for March 24-25, 2026</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>

AI policy and the battle for computing power
<p>AI is reshaping global power, from chip manufacturing and computing power to AI governance and US-China relations. In this episode, Ben Buchanan, Assistant Professor at Johns Hopkins SAIS and former White House Special Advisor for AI, explores how AI policy, geopolitics, and international cooperation intersect with AI innovation and AI safety. We discuss the strategic importance of computing power, the future of AI governance, and what it will take for democracies to lead responsibly in the age of AI.</p><p>Featuring:</p><ul><li>Ben Buchanan –<a href="https://www.linkedin.com/in/buchananbenjamin/"> LinkedIn</a> </li><li>Chris Benson – <a href="https://chrisbenson.com/">Website</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://bsky.app/profile/chrisbenson.bsky.social">Bluesky</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://x.com/chrisbenson">X</a></li></ul><p>Links:</p><ul><li><a href="https://www.foreignaffairs.com/united-states/artificial-intelligence-grand-bargain-buchanan-collins">The AI Grand Bargain</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>

Cognitive Synthesis and Neural Athletes
<p>As AI accelerates innovation and adoption, leaders are facing rising cognitive load, shifting systems, and new emotional realities inside their organizations. In this episode, Deloitte’s Chief Innovation Officer Deborah Golden joins us to explore how AI is reshaping leadership, why vulnerability and empathy are critical in this moment, and how anti-fragility, not just resilience, will define the future of work.</p><p>Featuring:</p><ul><li>Deborah Golden –<a href="https://www.linkedin.com/in/deborah-golden/"> LinkedIn</a> </li><li>Chris Benson – <a href="https://chrisbenson.com/">Website</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://bsky.app/profile/chrisbenson.bsky.social">Bluesky</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Links:</p><ul><li><a href="https://www.deloitte.com/global/en.html">Deloitte</a></li></ul><p>Sponsor:</p><ul><li> Framer - The website builder that turns your dot com from a formality into a tool for growth. Check it out at <a href="http://framer.com/PRACTICALAI">framer.com/PRACTICALAI</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>

AI incidents, audits, and the limits of benchmarks
<p>AI is moving fast from research to real-world deployment, and when things go wrong, the consequences are no longer hypothetical. In this episode, Sean McGregor, co-founder of the AI Verification & Evaluation Research Institute and also the founder of the AI Incident Database, joins Chris and Dan to discuss AI safety, verification, evaluation, and auditing. They explore why benchmarks often fall short, what red-teaming at DEF CON reveals about machine learning risks, and how organizations can better assess and manage AI systems in practice.</p><p>Featuring:</p><ul><li>Sean McGregor– <a href="https://www.linkedin.com/in/seanbmcgregor/">LinkedIn</a></li><li>Chris Benson – <a href="https://chrisbenson.com/">Website</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://bsky.app/profile/chrisbenson.bsky.social">Bluesky</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Links:</p><ul><li><a href="https://www.averi.org/">AI Verification & Evaluation Research Institute</a></li><li><a href="https://incidentdatabase.ai/">AI Incident Database</a></li><li><a href="https://aaai.org/conference/aaai/aaai-26/iaai-26-call/">38th convening of IAAI</a></li><li><a href="https://www.youtube.com/watch?v=rE17hShOF_Q">BenchRisk</a></li><li><a href="https://www.youtube.com/watch?v=BOjTPSimNJk">State of Global AI Incident Reporting</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>

Inside an AI-Run Company
<p>AI agents are moving from demos to real workplaces, but what actually happens when they run a company? In this episode, journalist Evan Ratliff, host of <em>Shell Game</em>, joins Chris to discuss his immersive journalism experiment building a real startup staffed almost entirely by AI agents. They explore how AI agents behave as coworkers, how humans react when interacting with them, and where ethical and workplace boundaries begin to break down.</p><p>Featuring:</p><ul><li>Evan Ratliff – <a href="https://www.linkedin.com/in/evan-ratliff-2453031/">LinkedIn</a>, <a href="https://x.com/ev_rat?lang=en">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com/">Website</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://bsky.app/profile/chrisbenson.bsky.social">Bluesky</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://x.com/chrisbenson">X</a></li></ul><p>Links:</p><ul><li><a href="https://www.shellgame.co/">Shell Game</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>

How is AI shaping democracy?
<p>As AI increasingly shapes geopolitics, elections, and civic life, its impact on democracy is becoming impossible to ignore. In this episode, Daniel and Chris are joined by security expert Bruce Schneier to explore how AI and technology are transforming democracy, governance, and citizenship. Drawing from his book <em>Rewiring Democracy</em>, they explore real examples of AI in elections, legislation, courts, and public AI models, the risks of concentrated power, and how these tools can both strengthen and strain democratic systems worldwide.</p><p>Featuring:</p><ul><li>Bruce Schneier – <a href="https://x.com/schneierblog">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com/">Website</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://bsky.app/profile/chrisbenson.bsky.social">Bluesky</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Links: </p><ul><li><a href="https://www.schneier.com/">Schneier on Security</a></li></ul><p>Sponsors:</p><ul><li>Framer - The website builder that turns your dot com from a formality into a tool for growth. Check it out at <a href="http://framer.com/PRACTICALAI">framer.com/PRACTICALAI</a></li><li>Zapier - The AI orchestration platform that puts AI to work across your company. Check it out at <a href="http://zapier.com/practical">zapier.com/practical</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>

Controlling AI Models from the Inside
<p>As generative AI moves into production, traditional guardrails and input/output filters can prove too slow, too expensive, and/or too limited. In this episode, Alizishaan Khatri of Wrynx joins Daniel and Chris to explore a fundamentally different approach to AI safety and interpretability. They unpack the limits of today’s black-box defenses, the role of interpretability, and how model-native, runtime signals can enable safer AI systems. </p><p>Featuring:</p><ul><li>Alizishaan Khatri – <a href="https://www.linkedin.com/in/alizishaan-khatri-32a20637/">LinkedIn</a></li><li>Chris Benson – <a href="https://chrisbenson.com/">Website</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://bsky.app/profile/chrisbenson.bsky.social">Bluesky</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>

2025 was the year of agents, what's coming in 2026?
<p>In this start-of-year FC episode, Chris and Daniel break down what really mattered in AI in 2025, and what to expect in 2026. They explore the rise of AI agents, the practical reality of multimodal AI, and how reasoning models are reshaping workflows. The conversation dives into infrastructure and energy constraints, the continued value of predictive models, and why orchestration (not just better models) is becoming the defining skill for AI teams. The episode wraps with grounded 2026 predictions on where AI systems, tooling, and builders are headed next.</p><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com/">Website</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://bsky.app/profile/chrisbenson.bsky.social">Bluesky</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Sponsor:</p><ul><li>Framer - The enterprise-grade website builder that lets your team ship faster. Get 30% off at <a href="http://framer.com/practicalai">framer.com/practicalai</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>

Technical advances in document understanding
<p>Chris and Daniel unpack how AI-driven document processing has rapidly evolved well beyond traditional OCR with many technical advances that fly under the radar. They explore the progression from document structure models to language-vision models, all the way to the newest innovations like Deepseek-OCR. The discussion highlights the pros and cons of these various approaches focusing on practical implementation and usage.</p><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com/">Website</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://bsky.app/profile/chrisbenson.bsky.social">Bluesky</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Sponsors:</p><ul><li>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 <a href="http://shopify.com/practicalai">shopify.com/practicalai</a></li><li><a href="http://fabi.ai/">Fabi.ai</a> - The all-in-one data analysis platform for modern teams. From ad hoc queries to advanced analytics, Fabi lets you explore data wherever it lives—spreadsheets, Postgres, Snowflake, Airtable and more. Built-in Python and AI assistance help you move fast, then publish interactive dashboards or automate insights delivered straight to Slack, email, spreadsheets or wherever you need to share it. Learn more and get started for free at <a href="http://fabi.ai/">fabi.ai</a></li><li>Framer – Design and publish without limits with Framer, the free all-in-one design platform. Unlimited projects, no tool switching, and professional sites—no Figma imports or HTML hassles required. Start creating for free at <a href="https://www.framer.com/design/">framer.com/design</a> with code `PRACTICALAI` for a free month of Framer Pro.</li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>

Beyond note-taking with Fireflies
<p>Fireflies CEO, Krish Ramineni shares how the company is transforming AI-powered note-taking into a deeper layer of knowledge automation. He breaks down the technology behind real-time functionality like Live Assist, the user behavior patterns driving product evolution, and how Fireflies is innovating far beyond meetings. Krish also shares insights on future trends in AI and the potential for hardware integration, emphasizing the ongoing evolution of AI in knowledge work.</p><p>Featuring:</p><ul><li>Krish Ramineni – <a href="https://www.linkedin.com/in/krishramineni/">LinkedIn</a></li><li>Chris Benson – <a href="https://chrisbenson.com/">Website</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://bsky.app/profile/chrisbenson.bsky.social">Bluesky</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Links:</p><ul><li><a href="https://fireflies.ai/?utm_source=google&utm_medium=cpc&utm_campaign=brand_generic&utm_content=t3_eng&utm_term=fireflies%20ai&gad_source=1&gad_campaignid=22223532138&gbraid=0AAAAA-Os34oUk-ezo-P5YCtrVIq2M7Syi&gclid=Cj0KCQiArOvIBhDLARIsAPwJXOYIp5jWfJ_dDb47HXab4depti-NGtBT6sI37P2axyimuI6KUfuib7waAvlWEALw_wcB">Fireflies AI</a></li></ul><p>Sponsors:</p><ul><li>Miro – Get the right things done faster with Miro's Innovation Workspace. AI Sidekicks, instant insights, and rapid prototyping—transform weeks of work into days. No more scattered docs or endless meetings. Help your teams get great done at [Miro](<a href="https://miro.com/">https://miro.com</a>).</li><li>Framer – Design and publish without limits with Framer, the free all-in-one design platform. Unlimited projects, no tool switching, and professional sites—no Figma imports or HTML hassles required. Start creating for free at [<a href="http://framer.com/design](https://www.framer.com/design/)">framer.com/design](https://www.framer.com/design/)</a> with code `PRACTICALAI` for a free month of Framer Pro.</li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>

Autonomous Vehicle Research at Waymo
<p>Waymo’s VP of Research, Drago Anguelov, joins Practical AI to explore how advances in autonomy, vision models, and large-scale testing are shaping the future of driverless technology. The conversation dives into the dual challenges of building an onboard driver and testing that driver (via large scale simulation). Drago also gives us an update on what Waymo is doing to achieve intelligent, real-time performance while ensuring proven safety and reliability.</p><p>Featuring:</p><ul><li>Drago Anguelov – <a href="https://www.linkedin.com/in/dragomiranguelov/">LinkedIn</a></li><li>Chris Benson – <a href="https://chrisbenson.com/">Website</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://bsky.app/profile/chrisbenson.bsky.social">Bluesky</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Links:</p><ul><li><a href="https://waymo.com/research/">Waymo Research</a></li><li><a href="https://waymo.com/blog/2025/06/scaling-laws-in-autonomous-driving">New Insights for Scaling Laws in Autonomous Driving</a></li><li><a href="https://www.youtube.com/watch?v=11WEL7sR1GA">AI in Motion</a></li></ul><p>Sponsors: </p><ul><li>Outshift by Cisco - The open source collective building the Internet of Agents. Backed by Outshift by Cisco, AGNTCY gives developers the tools to build and deploy multi-agent software at scale. Identity, communication protocols, and modular workflows—all in one global collaboration layer. Start building at <a href="http://agntcy.org/">AGNTCY.org</a>.</li><li>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 <a href="http://shopify.com/practicalai">shopify.com/practicalai</a></li><li><a href="http://fabi.ai/">Fabi.ai</a> - The all-in-one data analysis platform for modern teams. From ad hoc queries to advanced analytics, Fabi lets you explore data wherever it lives—spreadsheets, Postgres, Snowflake, Airtable and more. Built-in Python and AI assistance help you move fast, then publish interactive dashboards or automate insights delivered straight to Slack, email, spreadsheets or wherever you need to share it. Learn more and get started for free at <a href="http://fabi.ai/">fabi.ai</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>

Are we in an AI bubble?
<p>Dan and Chris unpack whether today’s surge in AI deployment across enterprise workflows, manufacturing, healthcare, and scientific research signals a lasting transformation or an overhyped bubble. Drawing parallels to the dot-com era, they explore how technology integration is reshaping industries, affecting jobs, and even influencing human cognition, ultimately asking: is this a bubble, or just a fizzy new phase of innovation?</p><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com/">Website</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://bsky.app/profile/chrisbenson.bsky.social">Bluesky</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Links: </p><ul><li><a href="https://fortune.com/2025/10/29/powell-says-ai-is-not-a-bubble-unlike-dot-com-federal-reserve-interest-rates/?queryly=related_article">Powell says that, unlike the dotcom boom, AI spending isn’t a bubble: ‘I won’t go into particular names, but they actually have earnings’</a></li></ul><p>Sponsors:</p><ul><li>Outshift by Cisco - The open source collective building the Internet of Agents. Backed by Outshift by Cisco, AGNTCY gives developers the tools to build and deploy multi-agent software at scale. Identity, communication protocols, and modular workflows—all in one global collaboration layer. Start building at <a href="http://agntcy.org/">AGNTCY.org</a>.</li><li>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 <a href="http://shopify.com/practicalai">shopify.com/practicalai</a></li><li><a href="http://fabi.ai/">Fabi.ai</a> - The all-in-one data analysis platform for modern teams. From ad hoc queries to advanced analytics, Fabi lets you explore data wherever it lives—spreadsheets, Postgres, Snowflake, Airtable and more. Built-in Python and AI assistance help you move fast, then publish interactive dashboards or automate insights delivered straight to Slack, email, spreadsheets or wherever you need to share it. Learn more and get started for free at <a href="http://fabi.ai/">fabi.ai</a></li></ul><p>Upcoming Events: </p><ul><li>Join us at the <a href="https://midwestaisummit.com/">Midwest AI Summit</a> on November 13 in Indianapolis to hear world-class speakers share how they’ve scaled AI solutions. Don’t miss the <strong>AI Engineering Lounge</strong>, where you can sit down with experts for hands-on guidance. Reserve your spot today!</li><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>

We've all done RAG, now what?
<p>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 language model.</p><p>Featuring:</p><ul><li>Rajiv Shah – <a href="https://www.linkedin.com/in/rajistics/">LinkedIn</a> </li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Upcoming Events: </p><ul><li>Join us at the <a href="https://midwestaisummit.com/">Midwest AI Summit</a> on November 13 in Indianapolis to hear world-class speakers share how they’ve scaled AI solutions. Don’t miss the <strong>AI Engineering Lounge</strong>, where you can sit down with experts for hands-on guidance. Reserve your spot today!</li><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>