Podcasts about Rag

In today's episode we break down all your questions and tell the FULL story of Spennys injury during wine night 3.0. From the Emergency room, Lifeflight Airplane ride, waiting 3 days for surgery in a sketchy hospital, to his possible 3 year recovery. We then breakdown the never before seen bus crash Gavin and Evan had, Ryan's second Hummer Crash, And Kens $10k trip to Europe and our childish pranks. Enjoy the podcast and if you're new here please follow and rate us 5 stars! Sign up for your $1 per month trail at https://www.shopify.com/wideopen Connect with quality therapists and mental health experts who specialize in you at https://www.rula.com/WIDEOPEN #rulapod #ad Get up to $200 off Square hardware when you sign up at https://www.square.com/go/WIDEOPEN! #squarepod #ad Upgrade your denim game with Rag & Bone!. Get 20% off sitewide with code WIDEOPEN at www.rag-bone.com #ragandbonepod #ad To watch the podcast on YouTube: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://bit.ly/LifeWideOpenYT⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Don't forget to subscribe to the podcast for free wherever you're listening or by using this link: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://bit.ly/LifeWideOpenWithCboysTV⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ If you like the show, telling a friend about it would be amazing! You can text, email, Tweet, or send this link to a friend: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://bit.ly/LifeWideOpenWithCboysTV⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ You can also check out our main YouTube channel CboysTV: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.youtube.com/c/CboysTV⁠ Learn more about your ad choices. Visit podcastchoices.com/adchoices

Today on The Lonely Island and Seth Meyers Podcast, the guys discuss The Tizzle Wizzle Show (Jammy Shuffle) from the Christmas show 2009 with James Franco. But before they do that, they respond to your comments from last week's episode while wondering if Jorm is ever going to join. You'll have to listen to the whole thing to find out! They also talk about some sketches they missed from last week and some from this show, including Mark Wahlberg Talks to Christmas Animals, Office Christmas Presents with Jerry and Carl, and Underground Festival with a special voice note from Michael O'Brien! The Tizzle Wizzle Show (Jammy Shuffle) | https://youtu.be/am6jQEanzvA?si=f4zakjjz7xKnfn-P Jake Tapper's drawing | https://www.instagram.com/p/DPR4rDhklDf Mark Wahlberg Talks to Christmas Animals | https://www.youtube.com/watch?v=sZSu0sgtA68 Office Christmas Presents (Jerry and Carl) | https://www.youtube.com/watch?v=8cP9BM2W-vc What Up With That?: Jack McBrayer & Mike Tyson) | https://www.youtube.com/watch?v=njcwA-HvL3U Che confronting Ye https://youtu.be/CzESR3iAOSA?si=HmTfNDvLRquxNOSs Underground Festival | https://www.youtube.com/watch?v=z8nsOZb4JL0 Not all the clips we mention are available online; some never even aired. Send us an email: thelonelyislandpod@gmail.com Send us a voice note: https://www.speakpipe.com/thelonelyisland Send Jorma stuff: P.O. Box 4024 New York, NY 10185 Photos and everything else can be found by following us on Instagram @thelonelyislandpod Support our sponsors: Rag and Bone Upgrade your denim game with Rag & Bone! Get 20% off sitewide with code ISLAND at rag-bone.com #ragandbonepod Factor Eat smart at FactorMeals.com/ISLAND50OFF and use code ISLAND50OFF to get 50% off your first box, plus Free Breakfast for 1 Year. *Offer only valid for new Factor customers with code and qualifying auto-renewing subscription purchase. Quince Make your bed the coziest place in the house this fall—with Quince. Go to Quince.com/ISLAND for free shipping on your order and 365-day returns. Now available in Canada, too. Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode of BRAVE COMMERCE, Rachel Tipograph and Sarah Hofstetter sit down with Megan Frank, SVP of Marketing and R&D at Mizkan, the 221-year-old, family-owned food company behind iconic brands like RAGÚ, Bertolli, Nakano, and the newly acquired Zing Zang.With a portfolio of legacy brands that have stood the test of time, Megan shares how she keeps them relevant to today's consumer while staying true to their roots. She discusses the importance of preserving core brand assets, creating a culture of empowerment, and leveraging frameworks like OGSM to connect long-term vision to short-term action.Megan also explains how her team drives speed and agility within a family-owned structure, how retail partnerships are managed through data-backed joint business planning, and why consolidating media and shopper marketing under one team has unlocked more seamless consumer journeys.Key takeaways:Legacy brands can move fast. Clear vision and accountability empower teams to act with speed across functions.Relevance requires evolution. Megan shares how timeless assets and modern activations work together to engage new consumers.Data drives accountability. A custom measurement model helps Mizkan shift retailer conversations toward results-based planning. Hosted on Acast. See acast.com/privacy for more information.

PATREON: https://www.patreon.com/YouShouldKnowPodcast FACEBOOK: https://www.facebook.com/people/You-Should-Know-Podcast/61552092953106/ NEW TWITCH CHANNEL: https://m.twitch.tv/peytonhardin/home Peyton's Polaroids: https://instagram.com/peytonpolaroids?igshid=MzRlODBiNWFlZA== TRUE VAULT ESCAPADES: https://youtube.com/@AtomicWolf54 00:00 NEW THINGS COMING 2:19 CAM JOINS 7:35 PUBLIC GYM FACIAL 14:21 LOCKER ROOM HORROR STORY 18:04 SHOWER SLIP AND SLIDE 21:43 DRAFT KINGS 23:14 PUNCHING LOCKER OPEN 25:49 TARZAN CLUB 31:28 SMALL FACED BURGLAR 37:43 BETTER HELP 38:58 CREATE A PERSON GAME 49:22 RIDGE 51:02 HOW TO EAT STRAWBERRIES 57:49 BATTLE SCARRED KNEES 1:00:24 RAG & BONE 1:02:20 TRASH TALK STUTTER 1:07:38 24 HOUR MILE CHALLENGE 1:12:23 POP CULTURE: WWE & SPORTS 1:17:19 ANNOUNCEMENTS Todays Sponsors: Draft Kings Casino - New players get 500 spins over 10 DAYS on your choice of Cash Eruption slots when you wager five dollars. Play classic Cash Eruption today, then Red Hot Joker or Coins and Clovers tomorrow—it's all up to you! Get the app, sign up with code YSK Better Help - Our listeners get 10% off their first month at http://betterhelp.com/ysk #ad Ridge - One thing to pack, five ways to power! Get 10% Off @Ridge with code YSK at http://ridge.com/ysk #Ridgepod Rag & Bone - Upgrade your denim game with Rag & Bone! Get 20% off sitewide with code YSK at http://rag-bone.com #ragandbonepod YouShouldKnow P.O. BOX 191564 2825 Oak Lawn Ave Dallas, Texas 75219 FOLLOW PEYTON: https://instagram.com/psh8?igshid=ZDg1NjBiNjg= JOIN THE DISCORD: https://discord.gg/V5WYhSte2R Learn more about your ad choices. Visit podcastchoices.com/adchoices

A true clearance rack episode for us covering a ton of different style topics — a mea culpa moment for Berghain, the format of Tom Sachs recent drop, mid-range men's fall footwear, designer strollers, an "Are we doing...?" segment, Erewhon goes nationwide, batch cocktails, nostalgic ski hats, Taylor possibly appearing at ACL, wishlist items, and more.Subscribe to the newsletter: retailpod.substack.com willdefries.substack.com Shop the Sunday Scaries Scented Candles: www.vellabox.com/sundayscariesWatch all Retail Therapy episodes on YouTube: www.youtube.com/sundayscariespodcastSupport This Week's SponsorsShopify: www.shopify.com/scaries ($1/month trial!)Rag & Bone: www.rag-bone.com (SCARIES for 20% off)Follow AlongRetail Therapy on Instagram: www.instagram.com/retail.podWill deFries on Twitter: www.twitter.com/willdefriesWill deFries on Instagram: www.instagram.com/willdefries Barrett Dudley on Twitter: www.twitter.com/barrettdudleyBarrett Dudley on Instagram: www.instagram.com/barrettdudleySunday Scaries on Twitter: www.twitter.com/sundayscariesSunday Scaries on Instagram: www.instagram.com/sunday.scaries

01. Joezi, Lizwi - Amathole (Record Mix) 02. Hugel, Alleh, Yorghaki - una noche con hugel (Record Mix) 03. Fisher, Flowdan - Boost Up (Record Mix) 04. Playmen, Valeron, Klavdia - Touch Me (Record Mix) 05. Dubdogz, Zerky - Sun Goes Down (Sound Of Violence) (Record Mix) 06. Robin Schulz, David Guetta - On Repeat (Record Mix) 07. Armand Van Helden, Salvatore Mancuso - my my my (Record Mix) 08. Ava Max - Don't Click Play (Record Mix) 09. J Balvin, Willy William, Gonsu, Jenia Smile, Ser Twist - Mi Gente (Record Mix) 10. Vanco, Aya - Ma Tnsani (Yalla Habibi) (Record Mix) 11. Kris Kross Amsterdam, Eyelar - Mr. Lie To Me (Record Mix) 12. R3Hab, Mufasa, Rani - Believe (Record Mix) 13. Nicky Romero, Giacobbi, Fatboi - Move It (Record Mix) 14. Kaz James - Sun Is Shining (Record Mix) 15. Zerb, Ty Dolla $Ign, Wiz Khalifa - Location (Record Mix) 16. Stefy De Cicco, Ben Hamilton, Martin Jensen - Day 'N' Nite (Record Mix) 17. Oneil, Kanvise, Murana - Redlight (Record Mix) 18. Semm, Orfa - How Deep Is Your Love (Record Mix) 19. Calvin Harris, Dua Lipa - One Kiss (Record Mix) 20. Cedric Gervais, Nile Rodgers - We Are Family (Record Mix) 21. Shane Codd - Rather Be Alone (Record Mix) 22. Dj Dimixer, Dante, Dmitrii G - Only you (Record Mix) 23. Argy, Omiki - WIND (Record Mix) 24. Lucas & Steve - Push The Feeling (Record Mix) 25. Mind Electric - Things You Say (Record Mix) 26. Coldplay, Avicii - A Sky Full of Stars (Record Mix) 27. Byor - Superstar 28. Faul, Wad, Pnau - Changes (Record Mix) 29. Otnicka - Celebrate the Love (Record Mix) 30. Swedish House Mafia, Niki, The Dove - Lioness 31. Jax Jones, Martin Solveig - All Day & Night (Record Mix) 32. Pierse, Blair - Bitter Sweet Symphony (Record Mix) 33. Don Diablo - Freek Like Me 34. Sean Finn - Crazy (Record Mix) 35. Hurts, Purple Disco Machine - Wonderful Life '25 (Record Mix) 36. Avicii - Fade into Darkness (Record Mix) 37. Mark Dann, Giovanni Ricci - Let Me Die (Record Mix) 38. Dynoro, Gigi D'Agostino - In My Mind... (Record Mix) 39. Pete Tong, Roro, Jules Buckley, The Essential Orchest - Rhythm Of The Night (Record Mix) 40. Oliver Heldens, Becky Hill - Gecko (Overdrive) (Record Mix) 41. Akcent, Sera, Misha Miller - Don't Leave (Kylie) (Record Mix) 42. Basto!, Yves V - Cloud Breaker (Record Mix) 43. Eelke Kleijn, Joris Voorn - Transmission (Record Mix) 44. Alok, Daecolm, Malou - Unforgettable (Record Mix) 45. Playmen, Damiano, Michael Tsaousopoulos, Ferrylake - Naked (Record Mix) 46. Jerome Robins, Karsten Sollors - Don't Stop The Music (Record Mix) 47. Modjo - Lady (Hear Me Tonight) (Record Mix) 48. Clean Bandit, Anne-Marie, David Guetta - Cry Baby (Record Mix) 49. Robin Schulz, Erika Sirola - Speechless (Record Mix) 50. Avalan Rokston, Alex Caspian - Something to Believe In (Record Mix) 51. Alexander Popov, Whiteout, Vaileri - Need to Feel Loved (Record Mix) 52. Imanbek, Younotus - Heal My Heart (Record Mix) 53. Ofenbach - Be Mine (Record Mix) 54. Arei, Dj Lev - Du Hast (Record Mix) 55. Junior Jack - Stupidisco (Record Mix) 56. Armin Van Buuren, Sam Gray - Dream a Little Dream (Record Mix) 57. Relanium, Deen West - Leel Lost (Record Mix) 58. Weiss, Harry Romero - Where Do We Go (Record Mix) 59. Klaas - The Way (Record Mix) 60. Bob Sinclar - Cruel Summer (Record Mix) 61. Calvin Harris, Rag'N'Bone Man - Giant (Record Mix) 62. Marc Korn, Danny Suko, Heart Fx - Every Breath You Take (Record Mix) 63. Lady Gaga, Dj Dark - The Dead Dance (Record Mix) 64. Shane Codd - Get Out My Head (Record Mix) 65. Annabell Kowalski - Hey Boy Hey Girl (Record Mix) 66. Dj Snake, Bipolar Sunshine - Paradise (Record Mix) 67. Adam Lambert - Ghost Town (Record Mix) 68. Marshmello, Jonas Brothers, Alex Caspian - Slow Motion (Record Mix) 69. Tiesto, Bia, 21 Savage - Both (Record Mix) 70. R.I.O., Gonsu, Jenia Smile, Ser Twister - Shine On (Record Mix) 71. Alok, Gryffin, Julia Church - Never Letting Go (Record Mix) 72. Zerb, Sofiya Nzau - Mwaki (Record Mix) 73. Alfa, Manu Chao, Pas - A Me Mi Piace (Record Mix) 74. Shouse - Love Tonight (Record Mix) 75. Fedde Le Grand - Got Your Money (Record Mix) 76. Joel Corry, Jennifer Lopez - Get Right 77. Adam Port, Stryv, Malachii, Switch Disco - Move (Record Mix) 78. Cedric Gervais, Sick Individuals - Feel Better 79. Dj Feel, Desmind, Natalie Rise - Stereo Love (Record Mix) 80. Martin Jensen, Fastboy - One Day (Record Mix) 81. Nicky Romero - All Night Long 82. Axwell, Ingrosso - More Than You Know (Record Mix) 83. Kddk, Alex Alta - 1&2 (Record Mix) 84. Rompasso, Bedanokov - In the Dark (Record Mix) 85. Maurizio Basilotta, Mf Productions - You're Not Alone (Record Mix) 86. Don Diablo, Nelly Furtado - Doing Nothin' 87. Avicii - Wake Me Up (Record Mix) 88. Fisher, Flowdan - Boost Up (Record Mix) 89. Oneil, Kanvise, Smola - Boys (Record Mix) 90. Lufthaus, Sophie Ellis-Bextor - Immortal (Record Mix) 91. David Guetta, Hypaton, Bonnie Tyler - Together (Record Mix) 92. Alle Farben, Graham Candy, Lahos - Flowers (Record Mix) 93. Teriyaki Boyz, Hayat - Tokyo Drift (Record Mix) 94. Maesic, Marshall Jefferson, Salome Das - Life Is Simple (Record Mix) 95. Felix, Charlotte Haining, Switch Disco - I Found You (Record Mix) 96. Tiesto, Soaky Siren - Tantalizing (Record Mix) 97. Hugel, Alleh, Yorghaki - una noche con hugel (Record Mix) 98. Eric Prydz - Proper Education (Record Mix) 99. Filatov & Karas - Time Won't Wait (Record Mix) 100. Matt Sassari, Sidepiece - Elektro (Record Mix) 101. Shouse, Cub Sport - Only You (Record Mix) 102. Big Gigantic, Parson James, Bryn Christopher - Sweetest Sacrifice 103. Charli Xcx, Sam Smith - In The City (Record Mix) 104. Noizu - Summer 91 (Looking Back) (Record Mix) 105. Cyril, James Blunt - Tears Dry Tonight 106. Faul & Wad, Nico & Vinz, Altego, Old Jim - How I Feel (Am I Wrong) (Record Mix) 107. Lilly Wood, Prick, Robin Schulz - Prayer In C (Record Mix) 108. Doechii, Dj Dark - Anxiety (Record Mix) 109. Vanco, Aya - Ma Tnsani (Yalla Habibi) (Record Mix) 110. Dimitri Vegas, Chapter & Verse, Goodboys - Good For You 111. Aaron Smith, Luvli, Krono - Dancin' (Record Mix) 112. Iommi, Micah, Perfect Pitch, Alex Caspian - Up And Down (Record Mix) 113. Gregory Porter, Jonas Blue - Liquid Spirit (Record Mix) 114. Semm, Orfa - How Deep Is Your Love (Record Mix) 115. Steve Angello - Me 116. Fred Again.., The Blessed Madonna - Marea (Weve Lost Dancing) (Record Mix) 117. Otnicka, Kaskeiyp - For an Angel (Record Mix) 118. Redondo, Shayee - Feeling Good (Record Mix) 119. Twocolors - Heavy Metal Love (Record Mix) 120. Block & Crown, Mike Ferullo - Let the Music Play 121. Kygo, Ava Max, Tiesto - Whatever (Record Mix) 122. Diplo, Maren Morris - 42 (Record Mix) 123. Basto! - I Rave You (Record Mix) 124. Dante Klein - Gotta Feel 125. Avicii, Dan Tyminski - Hey Brother (Record Mix) 126. Joezi, Lizwi - Amathole (Record Mix) 127. Swedish House Mafia, Pharell - One (Your Name) (Record Mix) 128. Argy, Omiki - WIND (Record Mix) 129. Max Oazo - Gimme! Gimme! Gimme! (Record Mix) 130. Alok, Ella Eyre, Kenny Dope, Never Dull - Deep Down (Record Mix) 131. Melsen, Dwight Steven - One More Night 132. R3Hab, Vize, Jp Cooper, Amice - Jet Plane (Record Mix) 133. David Guetta, Anne-Marie, Coi Leray - Baby Don't Hurt Me (Record Mix) 134. Huntr-X, Ejae, Audrey Nuna, Rei Ami, Dj Dark - Golden (Record Mix) 135. Zerb, Sofiya Nzau, Izzy Bizu - Kumbaya (Record Mix) 136. Tayna, Marshmello, Ukay - Si Ai (Record Mix) 137. Oneil, Kanvise, Murana - Redlight (Record Mix) 138. Nicky Romero, Giacobbi, Fatboi - Move It (Record Mix) 139. Global Deejays, Jenia Smile, Ser Twister - The Sound Of San Francisco (Record Mix) 140. One-T, Ywy, Nika - The Way To Love (Record Mix) 141. Kris Kross Amsterdam, Eyelar - Mr. Lie To Me (Record Mix) 142. Dj Louis - Let Me Blow Ya Mind 143. Robin Schulz, Jasmine Thompson - Sun Goes Down (Record Mix) 144. Lucas & Steve, Laura White - Are You Ready

Dana Love, founder of PoobahAI (exited 5 companies, PhD in economics), breaks down why Web3 lags mainstream adoption and how AI-built software can unlock the space: “the future of Web3 is coding without coders.” We cover: the zero→one grind, macro shifts (globalization → nationalization), inflation realities, and why blockchains need to drop the barrier to projects, devs, and users. Dana shares Poobah's approach—virtual co-founder, multi-chain no/low-code, pre-audited on-chain digital objects, and real showcases (NFT ticketing, RWA real estate, car auction). We also talk go-to-market (students & exec MBAs), chain partnerships, and their seed round.Timestamps[00:00] Dana's thesis: coding without coders is Web3's future[00:01] Background: exits, policy PhD, AI/ML → crypto since 2011[00:02] Patterns from 5+ exits: first $1 of revenue + investment; hearing “your baby is ugly”[00:04] Macro: globalization → nationalization; inflation dynamics & wages[00:07] Startup stages: 0→1 vs 1→10 vs 10→50—don't over-process the first customer[00:08] Why Web3 adoption lags: tooling, UX, paucity of devs/projects/users[00:10] Public vs private chains; why transparency is a feature for upstarts[00:11] Naming Poobah & the “many hats” founder[00:12] Poobah overview: virtual co-founder, on-chain generation, digital objects (pre-audited contracts)[00:15] Code quality: making no-code generate good code; best-practice RAG/context[00:17] Focus: Web3 first—massive untapped value[00:18] GTM: students, MBAs, exec MBAs → enterprise wedge[00:19] Case: Princeton CS student ships NFT ticketing as a vibe-coder[00:20] B2B: chain licenses to drop coding barrier to near-zero[00:22] The “hackathon circus” & why broadening the builder base matters[00:23] Non-dev creators as founders: fine-arts → sticky NFTs[00:24] The Shopify moment for Web3 (payments/regulatory context)[00:27] RWAs: real estate fractionalization; car auctions; built in weeks[00:30] Will AI replace devs? Senior vs junior leverage; law firm analogy[00:36] Market will rebalance skills & pay; seniors x AI = force multiplier[00:37] Roadmap (6–12 mo): low-code launch → no-code, multi-chain MCP, virtual co-founder[00:38] The ask: chain partnerships, seed syndication, universities & exec MBAsConnecthttps://poobah.ai/https://www.linkedin.com/company/poobahai/https://www.linkedin.com/in/danalove/https://x.com/DanaFLoveDisclaimerNothing mentioned in this podcast is investment advice and please do your own research. Finally, it would mean a lot if you can leave a review of this podcast on Apple Podcasts or Spotify and share this podcast with a friend.Be a guest on the podcast or contact us - https://www.web3pod.xyz/

In this episode, I sit down with Saket Saurabh (CEO of Nexla) to discuss the fundamental shift happening in the AI landscape. The conversation is moving beyond the race to build the biggest foundational models and towards a new battleground: context. We explore what it means to be a "model company" versus a "context company" and how this changes everything for data strategy and enterprise AI. Join us as we cover:Model vs. Context Companies: The emerging divide between companies building models (like OpenAI) and those whose advantage lies in their unique data and integrations.The Limits of Current Models: Why we might be hitting an asymptote with the current transformer architecture for solving complex, reliable business processes. "Context Engineering": What this term really means, from RAG to stitching together tools, data, and memory to feed AI systems. The Resurgence of Knowledge Graphs: Why graph databases are becoming critical for providing deterministic, reliable information to probabilistic AI models, moving beyond simple vector similarity. AI's Impact on Tooling: How tools like Lovable and Cursor are changing workflows for prototyping and coding, and the risk of creating the "-10x engineer." The Future of Data Engineering: How the field is expanding as AI becomes the primary consumer of data, requiring a new focus on architecture, semantics, and managing complexity at scale.

In this episode, we talk about practical guardrails for LLMs with data scientist Nicholas Brathwaite. We focus on how to stop PII leaks, retrieve data, and evaluate safety with real limits. We weigh managed solutions like AWS Bedrock against open-source approaches and discuss when to skip LLMs altogether.• Why guardrails matter for PII, secrets, and access control• Where to place controls across prompt, training, and output• Prompt injection, jailbreaks, and adversarial handling• RAG design with vector DB separation and permissions• Evaluation methods, risk scoring, and cost trade-offs• AWS Bedrock guardrails vs open-source customization• Domain-adapted safety models and policy matching• When deterministic systems beat LLM complexityThis episode is part of our "AI in Practice” series, where we invite guests to talk about the reality of their work in AI. From hands-on development to scientific research, be sure to check out other episodes under this heading in our listings.Related research:Building trustworthy AI: Guardrail technologies and strategies (N. Brathwaite)Nic's GitHubWhat did you think? Let us know.Do you have a question or a discussion topic for the AI Fundamentalists? Connect with them to comment on your favorite topics: LinkedIn - Episode summaries, shares of cited articles, and more. YouTube - Was it something that we said? Good. Share your favorite quotes. Visit our page - see past episodes and submit your feedback! It continues to inspire future episodes.

Why you should listenGarima Agrawal bridges the gap between PhD-level AI research and practical consulting applications—she understands both the Formula One engine and how to help you drive the car better.Learn the layered prompting technique that eliminates most hallucinations and turns ChatGPT into a thinking partner rather than a content generator you can't trust.Discover which LLM to use for specific tasks—ChatGPT for analysis, Claude for coding, Gemini for technical research, and Perplexity for citations—so you stop wasting time with the wrong tool.You're using ChatGPT every day, but deep down you don't fully trust it. You've been burned by hallucinations. You watch it confidently give you wrong information, and you're left wondering which parts are reliable and which parts are fiction. You know AI should be making you more productive, but instead you're second-guessing every output and spending more time fact-checking than creating. Meanwhile, you see other consultants talking about Claude, Gemini, Perplexity—and you're not sure if you should be using those instead or if ChatGPT is fine. You're stuck in this loop of knowing AI is powerful but not knowing how to harness it properly. This week, I sat down with Garima Agrawal, who brings a rare combination: PhD-level AI research expertise and real-world consulting experience running her own firm. She breaks down the exact framework that eliminates most hallucinations, reveals which LLM actually performs best for specific consulting tasks, and shares the prompting mistakes that sabotage your results before you even start. If you're ready to stop fighting with AI and start using it as the leverage tool it should be, this conversation gives you the practical roadmap you need.About Garima AgrawalGarima Agrawal is the founder of HumaConn LLC, a consulting firm focused on empowering businesses and investors with tailored AI solutions. At HumaConn, she specializes in designing strategies for effective AI integration—helping clients enhance efficiency, streamline operations, and identify high-potential AI-driven opportunities that bridge innovation with real-world impact.She also serves as Head of AI Models and Services at Minerva CQ, where she leads the development and deployment of real-time, goal-oriented AI systems that power agentic, human-in-the-loop assistance in customer contact centers—boosting engagement and operational performance.Garima holds a Ph.D. in Artificial Intelligence from Arizona State University, where her research focused on making AI knowledge-aware—enabling large language models to reason reliably in specialized domains. Her core expertise includes reducing hallucinations, optimizing retrieval-augmented generation (RAG), and building cost-effective, trustworthy AI pipelines.With over a decade of experience spanning software engineering, data science, and AI leadership, Garima bridges the gap between cutting-edge research and real-world application—helping organizations build AI that delivers meaningful, measurable results.Resources and LinksHumaconn.comGarima's LinkedIn profileGarima's Google Scholar profileChatGPTClaudeGemini

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.Featuring:Rajiv Shah – LinkedIn Daniel Whitenack – Website, GitHub, XUpcoming Events: Join us at the Midwest AI Summit on November 13 in Indianapolis to hear world-class speakers share how they've scaled AI solutions. Don't miss the AI Engineering Lounge, where you can sit down with experts for hands-on guidance. Reserve your spot today!Register for upcoming webinars here!

AI is moving fast and if you're not keeping up, you're falling behind. In this episode of Lunch With Norm, Norm Farrar sits down with Steve Chou to unpack how sellers can actually implement AI in 2025 to drive revenue, boost conversions, and save time across Amazon and DTC. ✅ You'll learn how to: - Use AI to improve onsite search and 4x search-driven revenue - Build AI-powered upsells and cross-sells like Amazon - Create a RAG database to reduce hallucinations in customer service - Find and segment your highest-LTV customers using smart AI signals - Leverage tools like Gemini, Gamma, Base44, Lovable, Fly.io, 11Labs, and NotebookLM - Turn AI into a creative team: from email to content to chatbot to product research Plus: - How Steve built a fully automated cigar rating app in 2 days - What Shopify store owners should stop ignoring right now - Why “no-code” tools may be holding you back - Pro prompt tips to get better output from ChatGPT and Claude - What AI creators need to watch out for (hint: lawsuits, ADA compliance, hallucinations)   This episode isn't about the theory of AI, it's a full breakdown of how to tactically implement AI systems today to make your brand smarter and more scalable.

Everyone's talking about Agentic AI, but beyond the buzz, what's actually happening on the ground? The mnemonic security podcast is continuing to dive into the world of Agentic AI in our latest episode, recorded live at Sikkerhetsfestivalen.For this episode, Robby is joined by fellow podcaster (CloudFirst Podcast and KI til Kaffen) Marius Sandbu. They look at real-world implementations of agent-based systems, particularly what's been done in Norway. And try to answer the question: are we ahead, behind, or just cautious?They also discuss lessons learned from local projects, the current state of the global ecosystem, and what it really takes to make Agentic AI useful; diving into integration concepts like MCP and RAG, and how they're being applied in practice.Send us a text

01. Hurts, Purple Disco Machine - Wonderful Life '25 (Record Mix) 02. One-T, Ywy, Nika - The Way To Love (Record Mix) 03. Don Diablo - The Way I Are (Record Mix) 04. Tujamo, Azteck, Inna - Freak (Record Mix) 05. R.I.O., Gonsu, Jenia Smile, Ser Twister - Shine On (Record Mix) 06. Misha Miller, Alexvelea, Bodega - Bam Bam (Record Mix) 07. Morgan Page, Telykast - Dancing All Alone (Record Mix) 08. Hypaton, David Guetta, La Bouche - Be My Lover (Record Mix) 09. Zerb, Sofiya Nzau - Mwaki (Record Mix) 10. Crazibiza - Fresh (Record Mix) 11. Oceana, Bodybangers - Endless Summer (Record Mix) 12. Dj Snake, Bipolar Sunshine - Paradise (Record Mix) 13. Moby, Blond Ish, Kiko Franco - Natural Blues (Record Mix) 14. Bolier, Joe Stone, Voost - Keep This Fire Burning (Record Mix) 15. Avicii, Dan Tyminski - Hey Brother (Record Mix) 16. Melsen - Be Your Lover 17. Richard Grey - At Night (Record Mix) 18. Dimitri Vegas, Like Mike, Ne-Yo - Higher Place (Record Mix) 19. 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"85% of AI use cases are being evaluated by the engineer who built it saying, 'yep, seemed to work pretty well.' If you're gonna build a system that's going to be critical to the business, that's going to be important that it gets it right, then you can't do that without evaluations." - Craig Wiley Fresh out of the studio, Craig Wiley, Senior Director of Product Management at Databricks who leads Mosaic AI, joins us to discuss the forefront of enterprise AI from model development to deployment at scale. Beginning with his career journey in ML operations, Craig explained how he recognized the critical connection between data and AI layers that could deliver order-of-magnitude acceleration in development cycles. Emphasizing the transition from classical ML operations to LLM operations, he showcased how Databricks' unified platform eliminates training-serving skew through data lineage capabilities and supports both fine-tuning and RAG approaches depending on industrial use case requirements. Highlighting compelling customer success stories including Suncorp's employee productivity platform and AstraZeneca's transformation of 400,000 clinical trial documents into queryable insights, Craig revealed a striking reality about enterprise AI evaluation - that 85% of AI use cases are being evaluated only by the engineers who built them, reinforcing that proper evaluation frameworks remain foundational for trustworthy AI implementation. He concluded by introducing Agent Bricks as Databricks' evaluation-centric approach to building production agents, emphasizing that model flexibility and rigorous testing are essential for enterprises moving from experimentation to production, while sharing his vision that the industry must evolve from the "year of agents" to the "year of evaluation and quality." Episode Highlights: [00:00] Quote of the Day by Craig Wiley [01:21] How Craig Wiley started his work in ML Ops that led him to Databricks [02:43] Data and AI layer connection creates order-of-magnitude acceleration [03:47] Mosaic AI acquisition expanded Gen AI solution capabilities [04:38] Classical ML statistics versus Gen AI evaluation challenges [05:48] Mosaic AI covers end-to-end from data ingestion [07:12] Training-serving skew eliminated through unified platform lineage [08:51] Fine tuning versus RAG depends on use case [10:49] Industrial agents benefit from fine-tuned smaller models [12:44] Common governance scheme covers tables through model access [13:52] Agent Bricks prioritizes accuracy over simplicity alone [15:44] Model flexibility crucial for speed and accuracy optimization [16:54] AB testing different models shows immediate performance differences [17:59] Suncorp and AstraZeneca demonstrate diverse AI applications [19:37] Asia Pacific shows aggressive AI adoption strategies [20:59] CFO approval requires proven agent effectiveness evaluation [22:00] 85% of AI cases evaluated only by building engineer [23:20] Model agnostic approach beats single-vendor AI strategies [24:12] Industry terminology evolves rapidly from RAG to agents [25:39] Customer creativity with governance capabilities inspires product development Profile: Craig Wiley, Senior Director of Product Management at Databricks and Mosaic AI LinkedIn: https://www.linkedin.com/in/craigwiley/ Podcast Information: Bernard Leong hosts and produces the show. The proper credits for the intro and end music are "Energetic Sports Drive." G. Thomas Craig mixed and edited the episode in both video and audio format. Here are the links to watch or listen to our podcast. Analyse Asia Main Site: https://analyse.asia Analyse Asia Spotify: https://open.spotify.com/show/1kkRwzRZa4JCICr2vm0vGl Analyse Asia Apple Podcasts: https://podcasts.apple.com/us/podcast/analyse-asia-with-bernard-leong/id914868245 Analyse Asia LinkedIn: https://www.linkedin.com/company/analyse-asia/ Analyse Asia X (formerly known as Twitter): https://twitter.com/analyseasia Sign Up for Our This Week in Asia Newsletter: https://www.analyse.asia/#/portal/signup Subscribe Newsletter on LinkedIn https://www.linkedin.com/build-relation/newsletter-follow?entityUrn=7149559878934540288

On April 4, 2025, I presented live on the topic of the shifting paradigm of billable hour and serving new legal market opportunities. I presented alongside Clio's Lawyer in Resident, Joshua Lenon. Here are the top 5 takeaways:* AI Will Automate a Large Portion of Legal WorkUp to 75% of all hourly billable work in law firms is projected to be automatable by AI in the coming years. This shift is already underway, with rapid adoption of AI tools across firms of all sizes, especially in mid-sized and larger firms.* The Billable Hour Model Is Becoming ObsoleteAs AI drastically reduces the time required for many legal tasks, the traditional billable hour model is increasingly unsustainable. Flat fees, subscriptions, and value-based billing are emerging as more client-friendly and profitable alternatives, especially as clients become more aware of AI's capabilities.* The Latent Legal Market Is a Massive OpportunityThere is a huge unmet demand for legal services—estimated at over $1.3 trillion in the US alone. By leveraging AI and moving away from billable hours, lawyers can serve more clients, offer greater pricing certainty, and tap into this latent market.* Industry-Specific AI Tools and Data Security Are EssentialGeneric AI tools are not reliable sources of truth for legal work. Lawyers should prioritize industry-specific AI solutions that use retrieval augmented generation (RAG) and ensure privacy, security, and compliance (e.g., SOC 2, HIPAA). Using the right tools helps avoid ethical pitfalls and increases accuracy.* Client Expectations and Legal Practice Are EvolvingMost clients either prefer or are indifferent to their lawyers using AI, and younger generations are especially open to it. Lawyers must focus on delivering value, efficiency, and transparency. Adopting AI and new billing models not only meets client expectations but also positions firms for future success.__________________________Here's a link to the slide deck that goes with the presentation.Want to maximize your law firm? Get your ticket to MaxLawCon!Sign up for Paxton, my all-in-one AI legal assistant, helping me with legal research, analysis, drafting, and enhancing existing legal work product.Here's a link to purchase lifetime access to the recordings of My Shingle's AI Teach-In if you couldn't make it live.I've partnered with Pii to make it easy for you to purchase the hardware I use in my law firm: (1) Studio Setup; (2) Midrange Setup; (3) Highrange Setup.Get Connected with SixFifty⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, a business and employment legal document automation tool.Sign up for ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Gavel⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, an automation platform for law firms.Check out my other show, the Law for Kids Podcast.Visit ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Law Subscribed⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to subscribe to the weekly newsletter to listen from your web browser.Prefer monthly updates? Sign up for the Law Subscribed Monthly Digest on LinkedIn.Want to use the subscription model for your law firm? Sign up for the Subscription Seminar waitlist at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠subscriptionseminar.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.Check out ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Mathew Kerbis'⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ law firm ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Subscription Attorney LLC⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Get full access to Law Subscribed at www.lawsubscribed.com/subscribe

En Bradford, un show de teatro

KJ Ellis joins the show as the boys talk Texas A&M hazing story, Sabrina Carpenter's thoughts on Italy, ball talk, choosing a walkup song for Parks, and This Weekend in Fun. Support us on Patreon and receive weekly episodes for as low $5 per month: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.patreon.com/circlingbackpodcast⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Watch all of our full episodes on YouTube: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.youtube.com/washedmedia⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Shop Washed Merch: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.washedmedia.shop⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ • (0:00) Fun & Easy Banter • (14:25) A&M Hazing • (20:00) Sabrina Carpenter Went to Italy • (33:10) Ball • (47:20) Parks Walkup Song • (56:15) This Weekend in Fun Support This Episode's Sponsors: Rag & Bone: Upgrade your denim game with Rag & Bone! Get 20% off sitewide with code STEAM at ⁠http://rag-bone.com/⁠ #ragandbonepod Squarespace: Check out ⁠⁠https://squarespace.com/steam⁠⁠ for a free trial, and when you're ready to launch, use OFFER CODE: STEAM to save 10% off your first purchase of a website or domain. Tecovas: Right now get 10% off at ⁠⁠https://tecovas.com/crclbk⁠⁠ when you sign up for email and texts. Vuori: Get 20% off your FIRST purchase of the most comfortable and versatile clothing on the planet at ⁠⁠https://vuori.com/steam⁠ Learn more about your ad choices. Visit megaphone.fm/adchoices

Send us a textThe digital revolution in education is happening right now, and AI literacy has surged to become the #1 skill employers demand. With 70% of job skills projected to change by 2030, our conversation with Mike Todasco couldn't be more timely or crucial for parents and educators navigating this shifting landscape.Mike brings a rare dual perspective as both a visiting fellow at San Diego State University's AI Center and father of two school-aged children. His insights bridge the technical sophistication of artificial intelligence with the practical realities of raising children in a world where over 22% of kids aged 8-12 already use generative AI tools—many unable to distinguish between AI and human content.Throughout our discussion, Mike unpacks the delicate balance between embracing AI's educational potential and protecting children's cognitive development. We share compelling research about reduced prefrontal cortex activity when students rely on AI for writing tasks, alongside stories of remarkable progress when AI tutors are thoughtfully implemented. The contrast is stark and highlights the importance of intentional implementation.What makes this conversation particularly valuable are the practical applications. From using voice mode in ChatGPT during car rides to create personalized learning experiences, to implementing retrieval augmented generation (RAG) systems that minimize AI "hallucinations," Mike offers tangible strategies that work both in classrooms and at home. His suggestion to dedicate specific portions of curricula to AI literacy while preserving traditional instruction for foundational skills provides a balanced framework any educator can adapt.Perhaps most thought-provoking is his examination of children forming emotional attachments to AI companions programmed to be unfailingly supportive—raising profound questions about healthy relationship development in an increasingly AI-integrated world. As Mike puts it, "This is what scares me the most."Whether you're a teacher redesigning curriculum, a parent guiding digital natives, or simply curious about education's AI-powered future, this conversation provides the clarity and practical wisdom needed to ensure technology serves learning rather than diminishes it. The question isn't whether AI will transform education—it's whether we'll shape that transformation to truly benefit our children.Great News! The Brighter Side of Education is now CPD Accredited! Sponsored by Dr. Gregg Hassler Jr., DMDTrusted dental care for healthy smiles and stronger communities—building brighter futures daily. Head to the show notes to find if this episode is CPD eligible and details on how to claim your CPD certification!Sponsored by Dr. Gregg Hassler Jr., DMDTrusted dental care for healthy smiles and stronger communities—building brighter futures daily.Support the showIf you have a story about what's working in your schools that you'd like to share, email me at lisa@drlisahassler.com or visit www.drlisahassler.com. Subscribe, tell a friend, and consider becoming a supporter by clicking the link: https://www.buzzsprout.com/2048018/support. The music in this podcast was written and performed by Brandon Picciolini of the Lonesome Family Band. Visit and follow him on Instagram.

In this DCF Trends-Nomads at the Summit Podcast episode, Chris James, CEO of NoesisAI, delivers a sweeping, insight-rich overview of how different classes of AI models—from LLMs and RAG to vision AI and scientific workloads—are driving a new wave of infrastructure decisions across the data center landscape. With a sharp focus on the diverging needs of training vs. inference, James breaks down what it takes to support today's AI—from GPU-intensive clusters with high-speed interconnects and liquid cooling to inference-optimized, edge-deployed accelerators. He also explores the rapidly shifting hardware ecosystem, including the rise of custom silicon, heterogeneous computing, and where the battle between NVIDIA, AMD, Intel, and hyperscaler-designed chips is headed. Whether you're designing for scalability, sustainability, or the bleeding edge, this conversation offers a field guide to the infrastructure behind intelligent computing.

"I think the biggest trap to potentially fall into is, "Hey, it's moving so fast, so much is changing. Let's just wait it out." Completely the wrong approach. You just gotta get started." Nick Eayrs from Databricks "As tech people within the shipping industry, how do we explain, how do we make it accessible to all our users? So that's where we came up with the idea of a data supermarket, with in mind really the target of enabling self-service for our business. So by giving the analogy of a supermarket, it was much easier at the beginning to explain our business." - Simon Fassot from Hafnia Fresh out of the studio, Nick Eayrs, Vice President of Field Engineering for Asia Pacific and Japan at Databricks, and Simon Fassot, General Manager and Head of Global Data and Analytics at Hafnia, join us to explore how data intelligence is transforming enterprise AI across diverse industries in Asia. Nick explained the fundamental distinction between general intelligence and data intelligence - emphasizing how enterprises gain competitive advantage by training AI on their proprietary data rather than public knowledge. Nick showcased customer success stories including Standard Chartered Bank and TechComBank and shared his perspectives on how senior executives can take advantage of AI by moving fast rather than wait and see. Last but not least, Nick offered what great would look like for Databricks in Asia Pacific and Japan in serving their customers. Adding the lens of the customer, Simon shared Hafnia's transformation from legacy SQL Server systems to a unified Databricks architecture serving their global shipping operations and elaborated on how the company is breaking down silos with their data supermarket and "Marvis" AI copilot for maritime operations based on retrieval augmented generation. This is Part 1 from Databricks Data + AI Event Singapore.  Episode Highlights: [00:00] QOTD by Nick Eayrs and Simon Fassot [00:49] Introduction: Nick Eayrs from Databricks [03:32] Customer obsession means deeply understanding their business context [05:22] Data intelligence versus artificial general intelligence explanation begins [06:42] AI trained on your data creates competitive advantage [08:17] Only 15% of companies have correct AI infrastructure ready [11:17] Don't wait for AI perfection, just get started now [12:30] Agent Bricks simplify AI development using natural language [13:49] Standard Chartered Bank cybersecurity use case with SIEM [16:22] TechCom Bank in Vietnam customer brain with 12,000 customer attributes [18:32] Shared responsibility model for ethical AI deployment [25:24] Asia Pacific psychology focuses on future, not past [26:28] Most important question: How do you get started? [30:18] What does great look like for Databricks? [33:16] Introduction: Simon Fassot from Hafnia [35:18] How Hafnia transformed to full cloud architecture centralizes data through Databricks [36:28] Self-service access needed for 300 onshore, 4000 vessel employees [37:00] Three user types: operations, business intelligence, domain experts and Use Cases for Hafnia [41:32] Unity catalog controls data quality for AI cases [42:21] Two-phase Gen AI: ingest unstructured, then consume data [44:25] How to implement Generative AI: One bad AI answer loses all user trust [45:31] How reports in Hafnia use RAG embedded in workflows [46:47] Data supermarket analogy simplifies self-service for business [48:39] Marvis AI personalizes Gen AI within company context [49:46] Neo4j partnership adds graph capabilities to ecosystem [53:33] DNA Port platform unifies scattered dashboards and applications [54:22] Databricks enables focus on business value over operations Profiles: Nick Eayrs, Vice President of Field Engineering, Asia Pacific & Japan at Databricks LinkedIn: https://www.linkedin.com/in/nick-eayrs/ Simon Fassot, General Manager and Head of Global Data and Analytics at Hafnia LinkedIn: https://www.linkedin.com/in/simon-fassot-68b95135/ Podcast Information: Bernard Leong hosts and produces the show. The proper credits for the intro and end music are "Energetic Sports Drive." G. Thomas Craig mixed and edited the episode in both video and audio format. Here are the links to watch or listen to our podcast. Analyse Asia Main Site: https://analyse.asia Analyse Asia Spotify: https://open.spotify.com/show/1kkRwzRZa4JCICr2vm0vGl Analyse Asia Apple Podcasts: https://podcasts.apple.com/us/podcast/analyse-asia-with-bernard-leong/id914868245 Analyse Asia LinkedIn: https://www.linkedin.com/company/analyse-asia/ Analyse Asia X (formerly known as Twitter): https://twitter.com/analyseasia Sign Up for Our This Week in Asia Newsletter: https://www.analyse.asia/#/portal/signup Subscribe Newsletter on LinkedIn https://www.linkedin.com/build-relation/newsletter-follow?entityUrn=7149559878934540288

As a developer, you're trained to think in rows and tables. But what if that's the exact reason you're missing the most powerful connections in your data? There's a fundamental "Graph Problem" hiding in plain sight in almost every application, and once you see it, you'll wonder how you ever missed it.In this episode, we reveal this "obvious" secret and show you how to leverage it to build smarter, more accurate, and context-aware AI.In this episode/video, we cover:​The "Graph Problem" explained: Why you have more graph problems than you think.​Why basic RAG isn't enough, and how Graph RAG provides the context your AI is missing.​How to uncover the hidden relationships in your unstructured data and build a knowledge graph.​Real-world examples (from Amazon to your own notes) that reveal the graph structure all around you.​The #1 reason knowledge graph projects fail and how to avoid it.This conversation is for any developer who feels their projects are hitting a wall. If you're ready for the "aha!" moment that will change how you look at data forever, this episode is for you.Timestamps:00:00:00 - Intro00:00:39 - From Unstructured Data to a Knowledge Graph00:02:00 - The Experiment: What Happens When You Break a Knowledge Graph?00:05:41 - What Are Ontologies in the Graph World?00:07:35 - The Graph Problem You Didn't Know You Had00:09:09 - Why Graphs Are So Good for GenAI Context00:10:10 - The Best Way to Create Vector Embeddings for Graphs00:12:50 - Using Graphs to Solve Extreme Corporate Complexity00:17:14 - Real-World Problems That Are Actually Graph Problems00:19:31 - How to Find The Right Expert in Your Company00:23:33 - The Rise of Federated RAG Agents00:25:31 - The #1 Reason Knowledge Graph Projects Fail00:29:37 - A Standard Query Language for Graphs (GQL)00:32:53 - Why Teams Are Moving From RAG to Graph RAG00:34:34 - Should Your Company Build Its Own AI Assistant?00:38:28 - The "Fear of Missing Out" Driving Bad AI Projects00:40:21 - The Dangers of Chaotic vs. Laser-Focused Company Priorities00:44:05 - Why Gantt Charts Don't Work for Software00:47:08 - How Top Engineers Actually Learn New TechnologiesGuests on this podcast express their own views and do not represent their employers.#GraphDatabase #KnowledgeGraph #SoftwareArchitecture

The boys talk about the juxtaposition between the Euro and American Ryder Cup fits, the SEC schedule release, Dave needed Dillon's take on this wedding +1 scenario, & Dillon started 'Black Rabbit' on Netty.  Support us on Patreon and receive weekly episodes for as low $5 per month: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.patreon.com/circlingbackpodcast⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Watch all of our full episodes on YouTube: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.youtube.com/washedmedia⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Shop Washed Merch: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.washedmedia.shop⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ • (0:00) Fun & Easy Banter • (15:25) Team USA Ryder Cup Gala Fit • (31:15) SEC Schedule Release • (39:50) Need Dillon's Take on this Wedding +1 • (57:25) Dillon Started Black Rabbit on Netty (and watched Gangs of New York) Support This Episode's Sponsors: Rag & Bone: Upgrade your denim game with Rag & Bone! Get 20% off sitewide with code STEAM at http://rag-bone.com/ #ragandbonepod Squarespace: Check out ⁠https://squarespace.com/steam⁠ for a free trial, and when you're ready to launch, use OFFER CODE: STEAM to save 10% off your first purchase of a website or domain. Tecovas: Right now get 10% off at ⁠https://tecovas.com/crclbk⁠ when you sign up for email and texts. Vuori: Get 20% off your FIRST purchase of the most comfortable and versatile clothing on the planet at ⁠https://vuori.com/steam⁠ Learn more about your ad choices. Visit megaphone.fm/adchoices

What does it take to go from CIA officer to founder of one of the world's fastest-growing AI startups? In this episode of The Mark Haney Show, I sit down with Brian Raymond, Founder & CEO of Unstructured.io, to unpack his remarkable story and the explosive growth of his company. • Brian's journey from UC Davis → CIA → Investment Banking → Startup Founder. • Why 90% of enterprise data is useless for AI—and how Unstructured.io fixes it. • The Fortune 1000 race to adopt GenAI, with billions being invested. • How AI agents are changing the game (and why they don't sleep). • Lessons from raising $65M+ in funding in just three years. • Where Brian sees the biggest opportunities for entrepreneurs in this new AI era. This isn't just a story about AI—it's about risk, resilience, and building at the bleeding edge of technology. Website: https://unstructured.io/ Youtube:  @unstructuredio   LinkedIn: https://www.linkedin.com/company/unstructuredio X: https://x.com/UnstructuredIO Github: https://github.com/Unstructured-IO

A one billion dollar lottery jackpot is enough to get anyone thinking. The cast covers all the important questions: What numbers do you play? What would you do if you won?  Who would you tell? Should you remain anonymous? What would be the first thing you'd buy? Do you get a private jet or a jumbo yacht? Get up to $200 off Square hardware when you sign up at https://square.com/go/thecast #squarepod The best way to cook just got better. Go to https://hellofresh.com/THECAST10FM now to Get 10 Free Meals + a Free Item for Life! Upgrade your denim game with Rag & Bone! Get 20% off sitewide with code THECAST at https://rag-bone.com #ragandbonepod Learn more about your ad choices. Visit podcastchoices.com/adchoices

This week we discuss two recent sightings of the extinct New Zealand Fiordland Moose, a disease that could have started the jackalope rumors, and a mystery animal that is stealing villagers clothes. Enjoy! (TWT 182)Underdog: Download the app today and sign up with promo code WILD to score $50 in Bonus Funds when you play your first $5.Soul: Get 30% off your entire order! Go to https://www.getsoul.com/ and use the code WILD.Poncho: Go to https://www.ponchooutdoors.com/wild and enter your email for $10 off your first order.Rag & Bone: Upgrade your denim game with Rag & Bone! Get 20% off sitewide with code WILD at http://rag-bone.com/ #ragandbonepodToyota: toyota.com/trucks/adventure-detoursGet More Wild Times Podcast Episodes:https://podcasters.spotify.com/pod/show/wildtimespod/subscribehttps://www.patreon.com/wildtimespodMore Wild Times:Instagram: http://instagram.com/wildtimespodTikTok: https://www.tiktok.com/@wildtimespodcastFacebook: https://www.facebook.com/wildtimespod/X: https://x.com/wildtimespodDiscord: https://discord.gg/ytzKBbC9DbWebsite: https://wildtimes.club/Merch: https://thewildtimespodcast.com/merchBattle Royale Card Game: https://wildtimes.club/brOur Favorite Products:https://www.amazon.com/shop/thewildtimespodcastMusic/Jingles by: www.soundcloud.com/mimmkeyThis video may contain paid promotion.#ad #sponsored #forrestgalante #extinctoralive #podcast

SPONSORS: 1) MOOD: Discover your perfect mood and get 20% off your first order at https://mood.com and use code JULAN at check out! 2) RAG & BONE: Upgrade your denim game with Rag & Bone! Get 20% off sitewide with code JULIAN at https://rag-bone.com #ragandbonepod PATREON: https://www.patreon.com/JulianDorey (***TIMESTAMPS in description below) ~ Ephraim Mattos is the East Asia Operations Manager for White Mountain Research and is the Founder and CEO of the Fireside Journal. He grew up in Milwaukee, Wisconsin, and went on to serve in the armed forces as a US Navy SEAL. EPHRAIM'S LINKS: - WEBSITE: https://strongholdrescue.org/?fbclid=PAZXh0bgNhZW0CMTEAAaZ6QnPdHprxpt7njhHMyw2CiAuGfA1NtPcT33J8dLdZ3EvoqMadK6jb0Dw_aem_UGZH-q7yd-nMVmmpBrCdCA - YT: https://www.youtube.com/@Ephraim.Mattos FOLLOW JULIAN DOREY INSTAGRAM (Podcast): https://www.instagram.com/juliandoreypodcast/ INSTAGRAM (Personal): https://www.instagram.com/julianddorey/ X: https://twitter.com/julianddorey JULIAN YT CHANNELS - SUBSCRIBE to Julian Dorey Clips YT: https://www.youtube.com/@juliandoreyclips - SUBSCRIBE to Julian Dorey Daily YT: https://www.youtube.com/@JulianDoreyDaily - SUBSCRIBE to Best of JDP: https://www.youtube.com/@bestofJDP ****TIMESTAMPS**** 00:00 - Intro 00:54 – Eagles, Fatherhood, Wife Refugee, Stronghold, Jungle, Milwaukee 12:47 – SEAL Training, Alaska, Interrogation 21:40 – SEAL Life, Best Decision, BUDS 29:47 – Surviving BUDS, Stress, Myanmar Firefight 40:10 – Airstrike Myanmar, Firefight 01:01:42 – Presidential Limits, USAID, Power 01:12:26 – Military vs Isolationism, China Aid 01:24:30 – Soft Power, Incentives, Ukraine 01:19:56 – Open-Mindedness, AI on AI 01:42:47 – Truth, AI Warfare, Sniper 01:55:36 – China, Myanmar, Ethnic Cleansing 02:08:29 – Media Neglect, Myanmar 02:17:58 – China Funded M3th Soldiers , Yaba, Evil, Division 02:34:31 – Myanmar Geopolitics, Chinese Advisers, Team, Ambulances 02:49:27 – Stronghold Work, Faith, Haiti 03:01:24 – God CREDITS: - Host, Editor & Producer: Julian Dorey - COO, Producer & Editor: Alessi Allaman - https://www.youtube.com/@UCyLKzv5fKxGmVQg3cMJJzyQ - In-Studio Producer: Joey Deef - https://www.instagram.com/joeydeef/ Julian Dorey Podcast Episode 338 - Ephraim Mattos Music by Artlist.io Learn more about your ad choices. Visit podcastchoices.com/adchoices

Upgrade your denim game with Rag & Bone!. Get 20% off sitewide with code FEAR at https://www.rag-bone.com :'D ✨EXTRA BONUS EPISODES ON PATREON✨ Patreon - https://www.patreon.com/FearAnd

01. Playmen, Damiano – Naked (michael Tsaousopoulos & Ferrylake Remix) 02. Tiësto, Soaky Siren – Tantalizing (alex Caspian Remix) 03. Oneil, Kanvise, Favia – Cause You Are Young 04. Shouse – Love Tonight (barthez Remix) 05. Diplo & Maren – Morris 06. Gorgon City Feat Katy Menditta – Imagination (valeriy Smile Remix) 07. Alesso – Falling (lisitsyn Remix) 08. Faul & Wad, Nico & Vinz, Altego, Old Jim – How I Feel Am I Wrong 09. Argy, Omnya – Aria 10. Black Station & Satomic – Moon 11. Avalan Rokston – Something To Believe In (alex Caspian Remix) 12. Cyril, Dean Lewis – Fall At Your Feet (amice Remix) 13. Gorilla Zippo – Танцую До Утра 14. Arei, DJ Lev – Du Hast 15. The Black Eyed Peas – Dont Stop The Party (valeriy Smile Remix) 16. Alok & Gryffin & Julia Church – Never Letting Go 17. Abor & Tynna – Baller (alex Caspian Remix) 18. Oneil, Kanvise & Smola – Since You Been Gone (alex Caspian Remix) 19. Sound Of Legend – Game Started 20. Lady Gaga – The Dead Dance (dj Dark Remix) 21. Sam Feldt, Oaks – My Heart Goes (alex Caspian Remix) 22. Calvin Harris & Rag'n'bone Man – Lovers In A Past Life 23. DJ Nejtrino, DJ Peretse – Road To Hell 24. Rompasso, Johnny Penns – Deep Inside 25. Oneil, Kanvise & Smola – Wind Of Change (alex Caspian Remix) 26. Robin Schulz, Cyril, Sam Martin – World Gone Wild 27. Crash Adams – New Heart (dj Bliss Remix) 28. Block & Crown Feat. Daisy – Mr Vain 29. David Guetta & Sia – Beautiful People (raffi Saint Remix) 30. Camisra, James Hype – Let Me Show You 31. Tiesto – Lethal Industry (rose Ringed Extended Remix) 32. Delerium – Silence (john Summit Remix) 33. Eric Mars – Popcorn 34. Chris Lake Feat. Laura V – Changes 35. Shouse, Cub Sport – Only You 36. Hugel, Topic & Arash Feat Daecolm – I Adore You (alex Caspian Remix) 37. Tiësto, Sevdaliza, Yseult, Pabllo Vittar – Alibi 38. Yves V, Dubdogz, Ilira – Are You Ok 39. Hurts, Purple Disco Machine – Wonderful Life 40. Mark Dann Feat Giovanni Ricci – Let Me Die (alex Caspian Remix) 41. Alesso, Nate Smith – I Like It (alesso & Sentinel Vip Remix) 42. Lucas & Steve – Push The Feeling 43. Calvin Harris Feat Clementine Douglas – Blessings 44. Boney M., R3hab – Sunny 45. Avicii – Wake Me Up (andry Makarov Remix) 46. Fisher, Bbyclose – Blackberries 47. DJ Nejtrino, DJ Peretse – I've Been Thinking About You 48. Robin Schulz – One By One 49. Goodboys, Nu Aspect, Avaion – Blindspot 50. Modjo – Lady (slim Tony & Slashy Disco Remix) 51. Alesso Ft Nico & Vinz – I Wanna Know (alesso & Deniz Koyu Rmx) 52. Joel Corry & Pickle Feat Vula Stay Together – Baby Baby 53. DJ Peretse, DJ Nejtrino – Pardonne - Moi 54. Kanvise, Lew Heart, Falcoma – All Good Things 55. Marshmello, Jonas Brothers Slow Motion (alex Caspian Remix) 56. Meduza & Alok Feat. Goodboys – Piece Of Your Heart (alok Remix) 57. Imanbek, Jay Sean – Gone (da Da Da) (tank & Masstero Remix) 58. Demi Lovato – Fast 59. Ferry Corsten – Rock Your Body Rock (space Motion Remix) 60. Moby, Blond Ish, Kiko Franco – Natural Blues 61. Alle Farben Feat Graham Candy & Lahos – Flowers 62. Ive & David Guetta – Supernova Love 63. David Guetta & Cedric Gervais – A Better World (cedric Gervais & Alexander Remix) 64. Camelphat & Elderbrook – Cola (jerome Robins Remix) 65. Argy, Meduza – Melodia 66. Ben Delay – I Never Felt So Right (lebedeff & Kofa Remix) 67. David Guetta, Benny Benassi – Satisfaction 68. DJ Peretse, DJ Nejtrino – Don't Worry

Aditya Vasudevan, Cohesity's cyber recovery expert, shares battle-tested insights from defending Fortune 100 companies against AI-powered cyberattacks.Topics Include:Cohesity protects 85% of Fortune 100 data with battle-tested cyber recovery experienceTop 10 cyber adversaries target organizations; Cohesity has defended against most major threatsGenAI adopted by 100 million users in two months, creating unprecedented security challengesNew AI threats include prompt injection, synthetic identities, shadow AI, and supply vulnerabilitiesAttackers now use AI for sophisticated phishing, automated malware, and accelerated attack chainsReal companies completely banned AI after code leaks, misuse incidents, and data concernsThree-pillar security approach: fight AI with AI, enhanced training, and automated workflowsSecure AI design requires private deployments, complete traceability, and role-based access controlsAmazon Bedrock offers built-in guardrails, private VPCs, and enterprise monitoring capabilitiesCohesity's Gaia demonstrates secure AI with RAG architecture and permission-aware data accessResilience strategy combines immutable backups, anomaly detection, and recovery automation for incidentsProper AI security reduces cyber insurance premiums and prevents costly downtime disastersParticipants:Aditya Vasudevan - GVP of Cyber Resiliency, Cohesity Further Links:Cohesity: Website | LinkedIn | AWS MarketplaceSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

01. Playmen, Damiano – Naked (michael Tsaousopoulos & Ferrylake Remix) 02. Tiësto, Soaky Siren – Tantalizing (alex Caspian Remix) 03. Oneil, Kanvise, Favia – Cause You Are Young 04. Shouse – Love Tonight (barthez Remix) 05. Diplo & Maren – Morris 06. Gorgon City Feat Katy Menditta – Imagination (valeriy Smile Remix) 07. Alesso – Falling (lisitsyn Remix) 08. Faul & Wad, Nico & Vinz, Altego, Old Jim – How I Feel Am I Wrong 09. Argy, Omnya – Aria 10. Black Station & Satomic – Moon 11. Avalan Rokston – Something To Believe In (alex Caspian Remix) 12. Cyril, Dean Lewis – Fall At Your Feet (amice Remix) 13. Gorilla Zippo – Танцую До Утра 14. Arei, DJ Lev – Du Hast 15. The Black Eyed Peas – Dont Stop The Party (valeriy Smile Remix) 16. Alok & Gryffin & Julia Church – Never Letting Go 17. Abor & Tynna – Baller (alex Caspian Remix) 18. Oneil, Kanvise & Smola – Since You Been Gone (alex Caspian Remix) 19. Sound Of Legend – Game Started 20. Lady Gaga – The Dead Dance (dj Dark Remix) 21. Sam Feldt, Oaks – My Heart Goes (alex Caspian Remix) 22. Calvin Harris & Rag'n'bone Man – Lovers In A Past Life 23. DJ Nejtrino, DJ Peretse – Road To Hell 24. Rompasso, Johnny Penns – Deep Inside 25. Oneil, Kanvise & Smola – Wind Of Change (alex Caspian Remix) 26. Robin Schulz, Cyril, Sam Martin – World Gone Wild 27. Crash Adams – New Heart (dj Bliss Remix) 28. Block & Crown Feat. Daisy – Mr Vain 29. David Guetta & Sia – Beautiful People (raffi Saint Remix) 30. Camisra, James Hype – Let Me Show You 31. Tiesto – Lethal Industry (rose Ringed Extended Remix) 32. Delerium – Silence (john Summit Remix) 33. Eric Mars – Popcorn 34. Chris Lake Feat. Laura V – Changes 35. Shouse, Cub Sport – Only You 36. Hugel, Topic & Arash Feat Daecolm – I Adore You (alex Caspian Remix) 37. Tiësto, Sevdaliza, Yseult, Pabllo Vittar – Alibi 38. Yves V, Dubdogz, Ilira – Are You Ok 39. Hurts, Purple Disco Machine – Wonderful Life 40. Mark Dann Feat Giovanni Ricci – Let Me Die (alex Caspian Remix) 41. Alesso, Nate Smith – I Like It (alesso & Sentinel Vip Remix) 42. Lucas & Steve – Push The Feeling 43. Calvin Harris Feat Clementine Douglas – Blessings 44. Boney M., R3hab – Sunny 45. Avicii – Wake Me Up (andry Makarov Remix) 46. Fisher, Bbyclose – Blackberries 47. DJ Nejtrino, DJ Peretse – I've Been Thinking About You 48. Robin Schulz – One By One 49. Goodboys, Nu Aspect, Avaion – Blindspot 50. Modjo – Lady (slim Tony & Slashy Disco Remix) 51. Alesso Ft Nico & Vinz – I Wanna Know (alesso & Deniz Koyu Rmx) 52. Joel Corry & Pickle Feat Vula Stay Together – Baby Baby 53. DJ Peretse, DJ Nejtrino – Pardonne - Moi 54. Kanvise, Lew Heart, Falcoma – All Good Things 55. Marshmello, Jonas Brothers Slow Motion (alex Caspian Remix) 56. Meduza & Alok Feat. Goodboys – Piece Of Your Heart (alok Remix) 57. Imanbek, Jay Sean – Gone (da Da Da) (tank & Masstero Remix) 58. Demi Lovato – Fast 59. Ferry Corsten – Rock Your Body Rock (space Motion Remix) 60. Moby, Blond Ish, Kiko Franco – Natural Blues 61. Alle Farben Feat Graham Candy & Lahos – Flowers 62. Ive & David Guetta – Supernova Love 63. David Guetta & Cedric Gervais – A Better World (cedric Gervais & Alexander Remix) 64. Camelphat & Elderbrook – Cola (jerome Robins Remix) 65. Argy, Meduza – Melodia 66. Ben Delay – I Never Felt So Right (lebedeff & Kofa Remix) 67. David Guetta, Benny Benassi – Satisfaction 68. DJ Peretse, DJ Nejtrino – Don't Worry

1.Playmen, Damiano – Naked (Michael Tsaousopoulos & Ferrylake Remix) 2.Tiësto, Soaky Siren – Tantalizing (Alex Caspian Remix) 3.Oneil, Kanvise, Favia – Cause You Are Young 4.Shouse – Love Tonight (Barthez Remix) 5.Diplo & Maren – Morris 6.Gorgon City Feat Katy Menditta – Imagination (Valeriy Smile Remix) 7.Alesso – Falling (Lisitsyn Remix) 8.Faul & Wad, Nico & Vinz, Altego, Old Jim – How I Feel Am I Wrong 9.Argy, Omnya – Aria 10.Black Station & Satomic – Moon 11.Avalan Rokston – Something To Believe In (Alex Caspian Remix) 12.Cyril, Dean Lewis – Fall At Your Feet (Amice Remix) 13.Gorilla Zippo – Танцую До Утра 14.Arei, DJ Lev – Du Hast 15.The Black Eyed Peas – Dont Stop The Party (Valeriy Smile Remix) 16.Alok & Gryffin & Julia Church – Never Letting Go 17.Abor & Tynna – Baller (Alex Caspian Remix) 18.Oneil, Kanvise & Smola – Since You Been Gone (Alex Caspian Remix) 19.Sound Of Legend – Game Started 20.Lady Gaga – The Dead Dance (DJ Dark Remix) 21.Sam Feldt, Oaks – My Heart Goes (Alex Caspian Remix) 22.Calvin Harris & Rag'n'bone Man – Lovers In A Past Life 23.DJ Nejtrino, DJ Peretse – Road To Hell 24.Rompasso, Johnny Penns – Deep Inside 25.Oneil, Kanvise & Smola – Wind Of Change (Alex Caspian Remix) 26.Robin Schulz, Cyril, Sam Martin – World Gone Wild 27.Crash Adams – New Heart (DJ Bliss Remix) 28.Block & Crown Feat. Daisy – Mr Vain 29.David Guetta & Sia – Beautiful People (Raffi Saint Remix) 30.Camisra, James Hype – Let Me Show You 31.Tiesto – Lethal Industry (Rose Ringed Extended Remix) 32.Delerium – Silence (John Summit Remix) 33.Eric Mars – Popcorn 34.Chris Lake Feat. Laura V – Changes 35.Shouse, Cub Sport – Only You 36.Hugel, Topic & Arash Feat Daecolm – I Adore You (Alex Caspian Remix) 37.Tiësto, Sevdaliza, Yseult, Pabllo Vittar – Alibi 38.Yves V, Dubdogz, Ilira – Are You Ok 39.Hurts, Purple Disco Machine – Wonderful Life 40.Mark Dann Feat Giovanni Ricci – Let Me Die (Alex Caspian Remix) 41.Alesso, Nate Smith – I Like It (Alesso & Sentinel Vip Remix) 42.Lucas & Steve – Push The Feeling 43.Calvin Harris Feat Clementine Douglas – Blessings 44.Boney M., R3hab – Sunny 45.Avicii – Wake Me Up (Andry Makarov Remix) 46.Fisher, Bbyclose – Blackberries 47.DJ Nejtrino, DJ Peretse – I've Been Thinking About You 48.Robin Schulz – One By One 49.Goodboys, Nu Aspect, Avaion – Blindspot 50.MoDJo – Lady (Slim Tony & Slashy Disco Remix) 51.Alesso Ft Nico & Vinz – I Wanna Know (Alesso & Deniz Koyu Rmx) 52.Joel Corry & Pickle Feat Vula Stay Together – Baby Baby 53.DJ Peretse, DJ Nejtrino – Pardonne-Moi 54.Kanvise, Lew Heart, Falcoma – All Good Things 55.Marshmello, Jonas Brothers Slow Motion (Alex Caspian Remix) 56.Meduza & Alok Feat. Goodboys – Piece Of Your Heart (Alok Remix) 57.Imanbek, Jay Sean – Gone (Da Da Da) (Tank & Masstero Remix) 58.Demi Lovato – Fast 59.Ferry Corsten – Rock Your Body Rock (Space Motion Remix) 60.Moby, Blond Ish, Kiko Franco – Natural Blues 61.Alle Farben Feat Graham Candy & Lahos – Flowers 62.Ive & David Guetta – Supernova Love 63.David Guetta & Cedric Gervais – A Better World (Cedric Gervais & Alexander Remix) 64.Camelphat & Elderbrook – Cola (Jerome Robins Remix) 65.Argy, Meduza – Melodia 66.Ben Delay – I Never Felt So Right (Lebedeff & Kofa Remix) 67.David Guetta, Benny Benassi – Satisfaction 68.DJ Peretse, DJ Nejtrino – Don't Worry

Alex Salazar, co-founder and CEO of Arcade.dev, joins the show to unpack the realities of building enterprise agents. Conceptually simple but technically hard, agents are reshaping how companies think about workflow automation, security, and human-in-the-loop design. Alex shares why moving from proof-of-concept to production is so challenging, what playbooks actually work, and how enterprises can avoid wasting time and money as this technology accelerates faster than any previous wave.Key TakeawaysEnterprise agents aren't chatbots—they're workflow systems that can take secure, authorized actions.The real challenge isn't just building demos but getting to production-grade consistency and accuracy.Mid-market companies face the steepest climb: limited budgets, limited ML expertise, but the same competitive pressure.Success starts with finding low-risk, high-impact opportunities and narrowing scope as much as possible.Authorization is the biggest blocker today; delegated OAuth models are key to unlocking real agent functionality.Timestamped Highlights02:02 — Why agents are “just advanced workflow software” but harder to trust than traditional apps04:53 — The gap between glorified chatbots and real enterprise agents that take action09:58 — From cloud mistrust to wire transfers: how comfort with automation evolves14:00 — Chaos at every tier: startups, enterprises, and why the mid-market struggles most26:21 — The playbook: how to pick use cases, narrow scope, and carry pilots all the way to prod34:38 — Breaking down agent authorization and why most RAG systems fail in practice42:09 — Adoption at double speed: what makes this AI wave different from internet and cloudA Thought That Stuck“An agent isn't an agent until it can take action. If all it does is talk, it's just a chatbot.” — Alex SalazarCall to ActionIf this episode gave you a clearer lens on enterprise agents, share it with a colleague who needs to hear it. And don't miss future conversations—follow The Tech Trek on Apple Podcasts, Spotify, or wherever you listen.

Today we are joined by Gabe Saporta and Sean Barrett. Gabe is the lead singer for Cobra Starship and was one of the early contributors to the East Coast rock scene. Starting in basements and dining halls to touring in huge arenas. We also breakdown the history of the music scene around rock and punk and how it evolved into pop/radio tunes with autotune and technology. Sean has been the host of The Gathering of the Juggalos for the past 3 years so we dive deep in the culture and find out why all juggalos love Faygo. We also take maybe our BEST CALL ever. Our friend Ramsey, a social media expert and app developer, breaks down how social media companies intentionally keep you on their platform and create an algorithm for you that may involve fear or rage to keep you emotionally involved. To end the episode, we call the bro who drove JT home from the Oasis concert in a PediCab to find out more about the industry. #goingdeepwithchadandjt #chadandjt #podcast #cobrastarship More about Gabe here: https://www.instagram.com/xbrotegex/ More about Sean here: https://www.instagram.com/mrseanbarrett/ Come see us on Tour! Get your tix - http://www.chadandjt.com NEXT BROS BEFORE JOES SHOW (SEPT 19) HERE: https://www.showclix.com/event/joes-september19th We are live streaming a Fully unedited version of the pod on Twitch, if you want to chat with us while we're recording, follow here: https://www.twitch.tv/chadandjtgodeep Grab some dank merch here:https://shop.chadandjt.com/ TEXT OR CALL the hotline with your issue or question: 323-418-2019(Start with where you're from and name for best possible advice) Check out the reddit for some dank convo: https://www.reddit.com/r/ChadGoesDeep/ Thanks to our Sponsors:Brotege: The Best Skincare products for bros - get started today for just 10$ Visit https://www.brotege.com/deep HomeChef: The Best Meal Kits! Go to https://www.homechef.com/godeep and get 50% off your first box + free dessert. BILT REWARDS: Pay your rent with BILT and start earning points towards travel, fitness, restaurants and more! Go to https://www.joinbilt.com/godeep to get started today! Rag & Bone: The best Fashion and Clothing to look sharp and fresh. Denim Jeans, Shirts, Jackets & More! Get 20% off your order today! Go to https://www.rag-bone.com and use code GODEEP PRODUCTION & EDITS BY: Jake Rohret

Remember RAG?

This episode is packed with big-picture energy talk and some seriously nerdy (but fun) data breakdowns. John Kalfayan from collide. and Chuck start with what's really happening in oil and gas today before shifting into the challenges of putting AI to work in the field. From there, things get deep: contract dedications, what RAG actually means, how data chunking works, and the never-ending battle with duplicate info. We also weigh the costs of storage, querying, and running models, plus the tradeoffs between RAG and foundational models. If you've ever wondered about vector databases, data strategy, or just why we have a rant about sand, it's all here. By the end, we hit on the human side too: education, privacy, and making sure the right people can access the right data.Click here to watch a video of this episode.Join the conversation shaping the future of energy.Collide is the community where oil & gas professionals connect, share insights, and solve real-world problems together. No noise. No fluff. Just the discussions that move our industry forward.Apply today at collide.ioClick here to view the episode transcript. 00:00 - Intro01:51 - Oil and Gas Industry Insights06:34 - AI Deployment Challenges09:12 - Contract Dedications Explained10:32 - Understanding RAG12:52 - What is RAG in Data Management13:43 - Data Chunking Techniques17:17 - Cost Considerations in Data18:03 - RAG vs Foundational Models19:21 - Vectorized Databases Overview23:47 - Managing Duplicate Data26:28 - Data Strategy Considerations28:24 - Sand Rant31:32 - Identifying Gaps in Data33:10 - The Cost of Storage33:56 - Effective Data Querying35:50 - AI Education and Awareness37:53 - Privacy Concerns with Language Models40:54 - Data Access and Availabilityhttps://twitter.com/collide_iohttps://www.tiktok.com/@collide.iohttps://www.facebook.com/collide.iohttps://www.instagram.com/collide.iohttps://www.youtube.com/@collide_iohttps://bsky.app/profile/digitalwildcatters.bsky.socialhttps://www.linkedin.com/company/collide-digital-wildcatters

Send us a textWhat if AI could tap into live operational data — without ETL or RAG? In this episode, Deepti Srivastava, founder of Snow Leopard, reveals how her company is transforming enterprise data access with intelligent data retrieval, semantic intelligence, and a governance-first approach. Tune in for a fresh perspective on the future of AI and the startup journey behind it.We explore how companies are revolutionizing their data access and AI strategies. Deepti Srivastava, founder of Snow Leopard, shares her insights on bridging the gap between live operational data and generative AI — and how it's changing the game for enterprises worldwide.We dive into Snow Leopard's innovative approach to data retrieval, semantic intelligence, and governance-first architecture.04:54 Meeting Deepti Srivastava 14:06 AI with No ETL, no RAG 17:11 Snow Leopard's Intelligent Data Fetching 19:00 Live Query Challenges 21:01 Snow Leopard's Secret Sauce 22:14 Latency 23:48 Schema Changes 25:02 Use Cases 26:06 Snow Leopard's Roadmap 29:16 Getting Started 33:30 The Startup Journey 34:12 A Woman in Technology 36:03 The Contrarian View

Send us a textWhat if AI could tap into live operational data — without ETL or RAG? In this episode, Deepti Srivastava, founder of Snow Leopard, reveals how her company is transforming enterprise data access with intelligent data retrieval, semantic intelligence, and a governance-first approach. Tune in for a fresh perspective on the future of AI and the startup journey behind it.We explore how companies are revolutionizing their data access and AI strategies. Deepti Srivastava, founder of Snow Leopard, shares her insights on bridging the gap between live operational data and generative AI — and how it's changing the game for enterprises worldwide.We dive into Snow Leopard's innovative approach to data retrieval, semantic intelligence, and governance-first architecture.04:54 Meeting Deepti Srivastava 14:06 AI with No ETL, no RAG 17:11 Snow Leopard's Intelligent Data Fetching 19:00 Live Query Challenges 21:01 Snow Leopard's Secret Sauce 22:14 Latency 23:48 Schema Changes 25:02 Use Cases 26:06 Snow Leopard's Roadmap 29:16 Getting Started 33:30 The Startup Journey 34:12 A Woman in Technology 36:03 The Contrarian View

This week on The RAG Podcast, I am revisiting my episode with Anthony Webster, Managing Director of DVF Recruitment and board member at Career Legal.Anthony and I go way back - we worked together for five years and even planned to launch Hoxo together before his journey took a different turn. At that point, Anthony made a life-changing decision: he came out as gay after years of hiding his true self.We talk about:The challenges of coming out in a male-dominated industryWhy authenticity and inclusion are vital for culture and growthHis journey from recruiter to MD and board memberThe impact of living openly on his career and leadership styleHow DVF has grown under his leadership as part of the Career Legal groupAnthony's story is powerful, personal, and incredibly inspiring. It's about resilience, honesty, and the importance of creating safe and inclusive spaces in recruitment.Chapters00:00 Introduction to the RAG Podcast and Guest Introduction01:28 Anthony's Journey: Coming Out and Career Choices03:36 Career Path: From Recruitment to Managing Director08:25 The Drive for Success: Personal Background and Motivation11:19 Building Relationships in Recruitment: The Importance of Consistency15:28 The Decision to Come Out: Personal Struggles and Growth19:03 Navigating Life After Coming Out: Personal and Professional Changes22:51 Integrating into the LGBTQ Community: New Experiences and Friendships33:00 The Future of DVF Recruitment: Growth and Inclusion48:58 Creating an Inclusive Environment in Recruitment01:00:01 Looking Ahead: Future Plans for DVF and Personal Life__________________________________________Episode Sponsor: AtlasYour memory isn't perfect. So Atlas remembers everything for you. Atlas is an end-to-end recruitment platform built for the AI generation. It automates your admin so you can focus on the business tasks that matter. How many conversations do you have every day? With clients. Candidates. Your team. Service providers.Now how many of those conversations can you recall with 100% accuracy? How many hours a week do you spend making notes to try and retain as much as possible? And how much is still getting lost along the way? Traditional CRM systems weren't built for the type of recruitment business you're running right now. They were built to rely on the structured, tagged, categorised, and formal data you could feed it. Manual processes that needed you to input specific information, based on specific questions and answers. But what about all the other conversations you're having every single day? Atlas isn't an ATS or a CRM. It's an Intelligent Business Platform that helps you perform 10X better than you could on your own. How? By removing all your low value tasks, acting as your perfect memory, and providing highly relevant recommendations to impact your performance. Learn more about the power of Atlas – and take advantage of the exclusive offer for The RAG listeners – by visiting https://recruitwithatlas.com/therag/ __________________________________________Episode Sponsor: HoxoRecruitment agency founders - this one's for you.What's your plan for the rest of 2025?If it's based on more cold outreach, referrals, or hiring more recruiters… we've got news for you. That's not where the smart money is going.The market has changed. AI is everywhere. Noise is louder than ever.So if you want to scale profitably this year, you need to do things differently!It starts with what you already have.Your experience. Your network. Your voice.And we are showing you...

What does it take to transform a brilliant AI model from a research paper into a product customers can rely on? We're joined by Elizabeth Lingg, Director of Applied Research at Contextual AI (the team behind RAG), to explore the immense challenge of bridging the gap between the lab and the real world. Drawing on her impressive career at Microsoft, Apple, and in the startup scene, Elizabeth details her journey from academic researcher to an industry leader shipping production AI. Elizabeth shares her expert approach to measuring AI impact, emphasizing the need to correlate "inner loop" metrics like accuracy with "outer loop" metrics like customer satisfaction and the crucial "vibe check." Learn why specialized, grounded AI is essential for the enterprise and how using multiple, diverse metrics is the key to avoiding model bias and sycophancy. She provides a framework for how research and engineering teams can collaborate effectively to turn innovative ideas into robust products. Check out:Register now: Closing the AI gap: Exceeding executive expectations for AI productivityFollow the hosts:Follow BenFollow AndrewFollow today's guest(s):Learn more about Contextual AI: Contextual.ai WebsiteFollow Contextual AI on Social Media: LinkedIn | X (formerly Twitter)Connect with Elizabeth: LinkedInReferenced in today's show:Throwing AI at Developers Won't Fix Their ProblemsWhy language models hallucinatei ran Claude in a loop for three months, and it created a genz programming language called cursedSupport the show: Subscribe to our Substack Leave us a review Subscribe on YouTube Follow us on Twitter or LinkedIn Offers: Learn about Continuous Merge with gitStream Get your DORA Metrics free forever

Episode SummaryBob Remeika, CEO and Co-Founder of Ragie, joins host Danny Allan to demystify Retrieval-Augmented Generation (RAG) and its role in building secure, powerful AI applications. They explore the nuances of RAG, differentiating it from fine-tuning, and discuss how it handles diverse data types while mitigating performance challenges. The conversation also covers the rise of AI agents, security best practices like data segmentation, and the exciting future of AI in amplifying developer productivity.Show NotesIn this episode of The Secure Developer, host Danny Allan is joined by Bob Remeika, co-founder and CEO of Ragie, a company focused on providing a RAG-as-a-Service platform for developers. The conversation dives deep into Retrieval-Augmented Generation (RAG) and its practical applications in the AI world.Bob explains RAG as a method for providing context to large language models (LLMs) that they have not been trained on. This is particularly useful for things like a company's internal data, such as a parental leave policy, that would be unknown to a public model. The discussion differentiates RAG from fine-tuning an LLM, highlighting that RAG doesn't require a training step, making it a simple way to start building an AI application. The conversation also covers the challenges of working with RAG, including the variety of data formats (like text, audio, and video) that need to be processed and the potential for performance slowdowns with large datasets.The episode also explores the most common use cases for RAG-based systems, such as building internal chatbots and creating AI-powered applications for users. Bob addresses critical security concerns, including how to manage authorization and prevent unauthorized access to data using techniques like data segmentation and metadata tagging. The discussion then moves to the concept of "agents," which Bob defines as multi-step, action-oriented AI systems. Bob and Danny discuss how a multi-step approach with agents can help mitigate hallucinations by building in verification steps. Finally, they touch on the future of AI, with Bob expressing excitement about the "super leverage" that AI provides to amplify developer productivity, allowing them to get 10x more done with a smaller team. Bob and Danny both agree that AI isn't going to replace developers, but rather make them more valuable by enabling them to be more productive.LinksRagie - Fully Managed Multimodal RAG-as-a-Service for DevelopersRagie ConnectOpenAIGemini 2.5Claude Sonneto4-miniClaudeClaude OpusCursorSnowflakeSnyk - The Developer Security Company Follow UsOur WebsiteOur LinkedIn

Ethan Smith is the CEO of Graphite—the leading SEO growth agency—and my go-to expert on SEO. After 18 years of mastering traditional SEO, Ethan has been at the forefront of what is called AEO: answer engine optimization, or, more simply, getting your product to show up in ChatGPT/Claude/Gemini/Perplexity answers. He's discovered that ChatGPT traffic converts six times better than Google search—and most companies are completely missing this opportunity.In our conversation, we discuss:1. His 7-step playbook to rank #1 in ChatGPT2. Why ChatGPT traffic converts 6x better than Google3. How early-stage startups can win at AEO immediately (unlike with SEO, which takes years)4. The three tactics that actually work: landing pages, YouTube videos, and Reddit comments5. Why help-center content can suddenly be your highest-ROI investment6. The specific Reddit strategy that works (spoiler: be authentic)7. Why AI-generated content doesn't work—Brought to you by:Orkes—The enterprise platform for reliable applications and agentic workflowsVanta—Automate compliance. Simplify security.Great Question—Empower everyone to run great research—Where to find Ethan Smith:• Twitter: https://twitter.com/ethan_l_s• LinkedIn: https://bit.ly/ethans-linkedin• Graphite: https://graphite.io/• Graphite Research Papers: https://bit.ly/graphite-five-percent—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: https://twitter.com/lennysan• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/—In this episode, we cover:(00:00) Welcome back, Ethan(04:34) The changing landscape of SEO(06:19) AEO (answer engine optimization) vs. GEO (generative engine optimization)(08:13) The impact of AEO(11:51) How early-stage startups can win at AEO(14:34) The quality of AEO leads(15:35) On-site vs. off-site traffic(16:32) Reddit's role in AEO and avoiding spam(20:11) How AI models use citations (RAG)(21:41) Key principles for winning at AEO(25:00) Avoiding hyper-SEOed content, and the importance of originality(28:55) Actionable AEO playbook: steps and experiments(33:35) Tracking, measuring, and share of voice(38:34) Adapting AEO for B2B, commerce, and early-stage companies(41:11) Is letting AI index your content good?(43:06) Experimentation, control groups, and measuring results(46:15) The future of AEO, SEO, and search channels(51:35) AI-generated content: what works and what doesn't(55:25) The dangers of infinite AI derivatives(58:44) The future: convergence of LLMs and search(01:00:40) Help-center optimization and the long tail(01:03:18) Lightning round and final thoughts—Resources and episode mentions: https://www.lennysnewsletter.com/p/the-ultimate-guide-to-aeo-ethan-smith—Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com.—Lenny may be an investor in the companies discussed. To hear more, visit www.lennysnewsletter.com

01. Sophie And The Giants, Amice - Shut Up And Dance (Record Mix) 02. Cat Dealers, Lothief, Santti - Sunshine (Record Mix) 03. Kygo, Ava Max, Tiesto - Whatever (Record Mix) 04. Ofenbach - Be Mine (Record Mix) 05. David Guetta, Hypaton, Bonnie Tyler - Together (Record Mix) 06. Kungs - Clap Your Hands (Record Mix) 07. Playmen, Valeron, Klavdia - Touch Me (Record Mix) 08. Axwell, Ingrosso - More Than You Know (Record Mix) 09. Block & Crown, Mike Ferullo - Let the Music Play 10. Thomas Gold - Pump Up The Jam (Record Mix) 11. Gamuel Sori, Lovespeake, Amice - Us (Record Mix) 12. Alfa, Manu Chao, Pas - A Me Mi Piace (Record Mix) 13. J Balvin, Willy William, Gonsu, Jenia Smile, Ser Twist - Mi Gente (Record Mix) 14. Hurts, Purple Disco Machine - Wonderful Life '25 (Record Mix) 15. Twocolors, Roe Byrne, Amice - Stereo (Record Mix) 16. Mark Dann, Giovanni Ricci - Let Me Die (Record Mix) 17. Calvin Harris, Rag'N'Bone Man - Giant (Record Mix) 18. Nicky Romero - All Night Long 19. Robin Schulz, Nervo, Koppy - Freaking You Out (Record Mix) 20. Ownboss, Fafaq - Bacilando 21. Dj Kuba, Neitan, Bounce Inc. - Watch Out (Record Mix) 22. Tayna, Marshmello, Ukay - Si Ai (Record Mix) 23. Rain Radio, Dj Craig Gorman - Talk About (Record Mix) 24. Teriyaki Boyz, Hayat - Tokyo Drift (Record Mix) 25. Modjo - Lady (Hear Me Tonight) (Record Mix) 26. Vanco, Aya - Ma Tnsani (Yalla Habibi) (Record Mix) 27. Kylie Minogue - Lights Camera Action (Record Mix) 28. Atb, Topic, A7S - Your Love (9PM) (Record Mix) 29. Joezi, Lizwi - Amathole (Record Mix) 30. Eelke Kleijn, Joris Voorn - Transmission (Record Mix) 31. Alexander Popov, Whiteout, Vaileri - Need to Feel Loved (Record Mix) 32. Avicii, Dan Tyminski - Hey Brother (Record Mix) 33. Avalan Rokston, Alex Caspian - Something to Believe In (Record Mix) 34. Lost Frequencies, Dimaro - Are You With Me (Record Mix) 35. Marc Korn, Danny Suko, Heart Fx - Every Breath You Take (Record Mix) 36. Roland Clark, Mark Knight, James Hurr - Get Deep 37. Demi Lovato - Fast (Record Mix) 38. Robin Schulz, Francesco Yates - Sugar (Record Mix) 39. Misha Miller, Alexvelea, Bodega - Bam Bam (Record Mix) 40. Lana Del Rey, Kevin Blanc - Young & Beautiful (Record Mix) 41. Arei, Dj Lev - Du Hast (Record Mix) 42. Rompasso, Bedanokov - In the Dark (Record Mix) 43. Doechii, Dj Dark - Anxiety (Record Mix) 44. C-Bool, Giang Pham - DJ Is Your Second Name (Record Mix) 45. Darude, Glazur, Xm - Sandstorm (Record Mix) 46. Joel Corry, Pickle, Vula - Stay Together (Baby Baby) (Record Mix) 47. Don Diablo - The Way I Are (Record Mix) 48. David Guetta - Family Affair (Dance For Me) (Record Mix) 49. One-T, Ywy, Nika - The Way To Love (Record Mix) 50. Anna Naklab, Younotus, Alle Farben - Supergirl (Record Mix) 51. Tinlicker, The Boxer Rebellion - Diamonds (Further Than I Ever Was) 52. Basto! - I Rave You (Record Mix) 53. Bolier, Joe Stone, Voost - Keep This Fire Burning (Record Mix) 54. Tiesto - Red Lights (Record Mix) 55. Argy, Omiki - WIND (Record Mix) 56. Lunax, Mia Amare - Sweet Harmony (Record Mix) 57. Fisher, Flowdan - Boost Up (Record Mix) 58. Ida Corr, Fedde Le Grand - Let Me Think (Record Mix) 59. Twocolors - Heavy Metal Love (Record Mix) 60. Fred Again.., The Blessed Madonna - Marea (Weve Lost Dancing) (Record Mix) 61. Alok, Clementine Douglas - Body Talk (Record Mix) 62. Lufthaus, Sophie Ellis-Bextor - Immortal (Record Mix) 63. Diplo, Maren Morris - 42 (Record Mix) 64. Aria, Na-No - Bleu Chanel (Record Mix) 65. Calvin Harris, Benny Blanco - I Found You (Record Mix) 66. Purple Disco Machine, Kungs - Substitution (Record Mix) 67. Fast Boy, Topic - Forget You (Record Mix) 68. Hugel, Alleh, Yorghaki - una noche con hugel (Record Mix) 69. C Block, The Distance, Riddick - So Strung Out (Record Mix) 70. Crazibiza - Fresh (Record Mix) 71. David Zowie - House Every Weekend (Record Mix) 72. Melsen, Dwight Steven - One More Night 73. Zerb, Ty Dolla $Ign, Wiz Khalifa - Location (Record Mix) 74. Goodboys, Nu Aspect, Avaion - Blindspot (Record Mix) 75. Dua Lipa, Imanbek - Love Again (Record Mix) 76. Felix, Charlotte Haining, Switch Disco - I Found You (Record Mix) 77. Matt Sassari, Sidepiece - Elektro (Record Mix) 78. Lucas & Steve, Lawrent, Jordan Shaw - End Of Time (Record Mix) 79. Audien, Rory Hope - Lose It All 80. Tiesto, Sneaky Sound System, Wolfgang Gartner - I Will Be Here (Record Mix) 81. Jax Jones, Martin Solveig - All Day & Night (Record Mix) 82. Clean Bandit, Anne-Marie, David Guetta - Cry Baby (Record Mix) 83. Benson Boone, Dj Dark - Beautiful Things (Record Mix) 84. Cyril, Dean Lewis, Amice - Fall At Your Feet (Record Mix) 85. Coldplay, Avicii - A Sky Full of Stars (Record Mix) 86. Empire Of The Sun, Tony Romera - Walking on a dream (Record Mix) 87. Swanky Tunes, Shapov - Wannabe 88. Oliver Heldens, Ian Asher, Sergio Mendes - Mas Que Nada 89. Calvin Harris, John Newman - Blame! (Record Mix) 90. Iommi, Micah, Perfect Pitch, Alex Caspian - Up And Down (Record Mix) 91. Kris Kross Amsterdam, Eyelar - Mr. Lie To Me (Record Mix) 92. Oneil, Dj Dimixer - Children (Record Mix) 93. Galantis - Runaway (U & I) (Record Mix) 94. Swedish House Mafia, Pharell - One (Your Name) (Record Mix) 95. Twocolors, Safri Duo, Chris De Sarandy - Head Above Water (Record Mix) 96. Dom Dolla, Clementine Douglas - Miracle Maker (Record Mix) 97. Madison Mars, Little League - New Vibe Who Dis (Record Mix) 98. Keanu Silva, Don Diablo - King of My Castle (Record Mix) 99. Tiesto, Soaky Siren - Tantalizing (Record Mix) 100. Armin Van Buuren, Maia Wright - One More Time (Record Mix) 101. Alok, Ava Max - Car Keys (Ayla) (Record Mix) 102. Alis Shuka, Byjoelmichael - Not About Us (Record Mix) 103. Firebeatz, Dubdogz - Give It Up (Record Mix) 104. R3Hab, Sophie And The Giants - All Night (Record Mix) 105. Kungs - Never Going Home (Record Mix) 106. Anyma, Ellie Goulding - Hypnotized (Record Mix) 107. Genesi, Innellea, Meduza, Nu-La - Edge Of The World 108. R.I.O., Gonsu, Jenia Smile, Ser Twister - Shine On (Record Mix) 109. David Guetta, Hypaton, Bonnie Tyler - Together (Record Mix) 110. Felix Jaehn, Shouse - Walk With Me (Record Mix) 111. John Summit - La Danza (Record Mix) 112. Dj Feel, Desmind, Natalie Rise - Stereo Love (Record Mix) 113. Robin Schulz, Nervo, Koppy - Freaking You Out (Record Mix) 114. Dr Kucho!, Gregor Salto, Oliver Heldens - Can't Stop Playing (Record Mix) 115. Zhu - In the Morning! (Record Mix) 116. Lola Young, Ted Bear - Messy (Record Mix) 117. Vanco, Aya - Ma Tnsani (Yalla Habibi) (Record Mix) 118. Rob Laniado - Vibing 119. Titov - Philosophy (Record Mix) 120. Joezi, Lizwi - Amathole (Record Mix) 121. Oceana, Bodybangers - Endless Summer (Record Mix) 122. Oneil, Kanvise, Murana - Redlight (Record Mix) 123. Tony Igy - Cascade (Record Mix) 124. Joe Stone, Ferreck Dawn - Man Enough (Record Mix) 125. Disclosure - She's Gone, Dance On 126. Cedric Gervais, Sick Individuals - Feel Better 127. Alle Farben - Bad Ideas (Record Mix) 128. Jack Harlow, Dj Dark - Lovin On Me (Record Mix) 129. Hosh, 1979, Jalja, Slider & Magnit - Midnight (The Hanging Tree) (Record Mix) 130. Lilly Wood, Prick, Robin Schulz - Prayer In C (Record Mix) 131. Nicky Romero, Barmuda - Fade Away 132. Richard Grey - At Night (Record Mix) 133. Avicii - Fade into Darkness (Record Mix) 134. Showtek, Smack, Sam Gray - Take My Heart Away (Record Mix) 135. James Hype, Kim Petras - Drums (Record Mix) 136. Faul & Wad, Nico & Vinz, Altego, Old Jim - How I Feel (Am I Wrong) (Record Mix) 137. Topcover - First Day (Record Mix) 138. Drenchill, Indiiana - Feel This Way (Record Mix) 139. Alok, Daecolm, Malou - Unforgettable (Record Mix) 140. Eelke Kleijn, Joris Voorn - Transmission (Record Mix) 141. Adam Lambert - Ghost Town (Record Mix) 142. Moby, Blond Ish, Kiko Franco - Natural Blues (Record Mix) 143. Dynoro, Gigi D'Agostino - In My Mind... (Record Mix)

At Berlin Buzzwords, industry voices highlighted how search is evolving with AI and LLMs.- Kacper Łukawski (Qdrant) stressed hybrid search (semantic + keyword) as core for RAG systems and promoted efficient embedding models for smaller-scale use.- Manish Gill (ClickHouse) discussed auto-scaling OLAP databases on Kubernetes, combining infrastructure and database knowledge.- André Charton (Kleinanzeigen) reflected on scaling search for millions of classifieds, moving from Solr/Elasticsearch toward vector search, while returning to a hands-on technical role.- Filip Makraduli (Superlinked) introduced a vector-first framework that fuses multiple encoders into one representation for nuanced e-commerce and recommendation search.- Brian Goldin (Voyager Search) emphasized spatial context in retrieval, combining geospatial data with AI enrichment to add the “where” to search.- Atita Arora (Voyager Search) highlighted geospatial AI models, the renewed importance of retrieval in RAG, and the cautious but promising rise of AI agents.Together, their perspectives show a common thread: search is regaining center stage in AI—scaling, hybridization, multimodality, and domain-specific enrichment are shaping the next generation of retrieval systems.Kacper Łukawski Senior Developer Advocate at Qdrant, he educates users on vector and hybrid search. He highlighted Qdrant's support for dense and sparse vectors, the role of search with LLMs, and his interest in cost-effective models like static embeddings for smaller companies and edge apps. Connect: https://www.linkedin.com/in/kacperlukawski/Manish Gill Engineering Manager at ClickHouse, he spoke about running ClickHouse on Kubernetes, tackling auto-scaling and stateful sets. His team focuses on making ClickHouse scale automatically in the cloud. He credited its speed to careful engineering and reflected on the shift from IC to manager. Connect: https://www.linkedin.com/in/manishgill/André Charton Head of Search at Kleinanzeigen, he discussed shaping the company's search tech—moving from Solr to Elasticsearch and now vector search with Vespa. Kleinanzeigen handles 60M items, 1M new listings daily, and 50k requests/sec. André explained his career shift back to hands-on engineering. Connect: https://www.linkedin.com/in/andrecharton/Filip Makraduli Founding ML DevRel engineer at Superlinked, an open-source framework for AI search and recommendations. Its vector-first approach fuses multiple encoders (text, images, structured fields) into composite vectors for single-shot retrieval. His Berlin Buzzwords demo showed e-commerce search with natural-language queries and filters. Connect: https://www.linkedin.com/in/filipmakraduli/Brian Goldin Founder and CEO of Voyager Search, which began with geospatial search and expanded into documents and metadata enrichment. Voyager indexes spatial data and enriches pipelines with NLP, OCR, and AI models to detect entities like oil spills or windmills. He stressed adding spatial context (“the where”) as critical for search and highlighted Voyager's 12 years of enterprise experience. Connect: https://www.linkedin.com/in/brian-goldin-04170a1/Atita Arora Director of AI at Voyager Search, with nearly 20 years in retrieval systems, now focused on geospatial AI for Earth observation data. At Berlin Buzzwords she hosted sessions, attended talks on Lucene, GPUs, and Solr, and emphasized retrieval quality in RAG systems. She is cautiously optimistic about AI agents and values the event as both learning hub and professional reunion. Connect: https://www.linkedin.com/in/atitaarora/

Lance: https://www.linkedin.com/in/lance-martin-64a33b5/ How Context Fails: https://www.dbreunig.com/2025/06/22/how-contexts-fail-and-how-to-fix-them.html How New Buzzwords Get Created: https://www.dbreunig.com/2025/07/24/why-the-term-context-engineering-matters.html Content Engineering: https://x.com/RLanceMartin/status/1948441848978309358 https://rlancemartin.github.io/2025/06/23/context_engineering/ https://docs.google.com/presentation/d/16aaXLu40GugY-kOpqDU4e-S0hD1FmHcNyF0rRRnb1OU/edit?usp=sharing Manus Post: https://manus.im/blog/Context-Engineering-for-AI-Agents-Lessons-from-Building-Manus Cognition Post: https://cognition.ai/blog/dont-build-multi-agents Multi-Agent Researcher: https://www.anthropic.com/engineering/multi-agent-research-system Human-in-the-loop + Memory: https://github.com/langchain-ai/agents-from-scratch - Bitter Lesson in AI Engineering - Hyung Won Chung on the Bitter Lesson in AI Research: https://www.youtube.com/watch?v=orDKvo8h71o Bitter Lesson w/ Claude Code: https://www.youtube.com/watch?v=Lue8K2jqfKk&t=1s Learning the Bitter Lesson in AI Engineering: https://rlancemartin.github.io/2025/07/30/bitter_lesson/ Open Deep Research: https://github.com/langchain-ai/open_deep_research https://academy.langchain.com/courses/deep-research-with-langgraph Scaling and building things that "don't yet work": https://www.youtube.com/watch?v=p8Jx4qvDoSo - Frameworks - Roast framework at Shopify / standardization of orchestration tools: https://www.youtube.com/watch?v=0NHCyq8bBcM MCP adoption within Anthropic / standardization of protocols: https://www.youtube.com/watch?v=xlEQ6Y3WNNI How to think about frameworks: https://blog.langchain.com/how-to-think-about-agent-frameworks/ RAG benchmarking: https://rlancemartin.github.io/2025/04/03/vibe-code/ Simon's talk with memory-gone-wrong: https://simonwillison.net/2025/Jun/6/six-months-in-llms/

In energy and manufacturing, vast volumes of unstructured data (think OEM manuals, maintenance logs, shift notes, correspondence, procedures), sit largely untapped. For decades, experienced technicians have compensated by carrying critical knowledge in their heads. But with retirements accelerating and fewer seasoned workers on the front line, this model is breaking down.  New large language learning models that underpin technologies such as Grok and ChatGPT are being trained on this unstructured content to create context-relevant, queryable databases for industry. This technology, referred to as retrieval-augmented generation (RAG), could help unlock hidden knowledge across sprawling document sets. Early attempts at RAG have certainly improved search, a task that consumes hours of scarce engineering time. However, companies quickly learned that speed and accuracy fall apart at scale, context matters, and lack of trust in the output leaves users frustrated and skeptical.  The real opportunity lies in pairing RAG with agent-based AI systems designed for complex, asset-intensive environments. By reducing mean time to repair (MTTR), cutting rework, and extending the interval between failures, these solutions directly recover lost production capacity, which is an eight or nine-figure problem in many enterprises. For younger, less experienced workforces, AI tools are a critical equalizer, levelling the field against looming labor shortages. In this episode, I speak with Mark Fosdike, CEO and co-founder of Datch, about how his company is pioneering AI-driven diagnostic agents for manufacturing and industrial clients. We explore the realities of implementing RAG in high-stakes industries, the economic drivers behind adoption, and why obsessing about customers' problems is the key to success.

Enterprise AI Agents for Work, Service and Process: www.kore.ai Kore.ai founder and CEO Raj Koneru breaks down how enterprises are moving beyond chatbots into agentic AI that actually ships. We get into the no-code tooling behind multi-agent workflows, agentic RAG, guardrails that keep outputs in scope, and why a control layer for governance is now essential. Raj shares real scale numbers, the three Kore.ai product lanes for customer and employee experience, and how partnerships with Microsoft and AWS let teams build where they already run. If you care about building secure, explainable AI agents that integrate fast and scale cleanly, this one is for you. Stay Updated: Craig Smith on X:https://x.com/craigss Eye on A.I. on X: https://x.com/EyeOn_AI (00:00) Raj Koneru's Journey & The Birth of Kore.ai (03:10) From Chatbots to Enterprise-Grade Agents(06:33) Security, Scale & Proof in the Market(07:04) What Agentic AI Really Means(12:16) Building & Governing AI Agents(17:26) Kore.ai's Product Lines & Differentiation(20:22) Industry Applications & Case Studies(28:17) User Experience & Change Management(34:46) Governance, Identity & Cost Controls(39:56) Adoption Timelines & Market Outlook(43:51) Roadmap & Partnerships(47:38) Future of the Enterprise AI Landscape

This week on The RAG Podcast, we are revisiting my episode with Laura Clark, CEO of OA Group.Laura's journey is one of the most unique I've ever shared on the show. She grew up watching her mum build Osborne Appointments (now OA Group), joined the business at 19, and earlier this year bought it from her mother to take over as CEO.We talk about:What it was like growing up with an entrepreneurial mother as inspirationJoining the business at 19 and proving herself in recruitmentNavigating four children while building her own career and leadership styleThe emotional and strategic process of negotiating the buyout with her mumHer vision for OA Group, balancing legacy with innovationThis was the first time I've had a guest who has bought their business from a parent, and it raises so many relatable themes for any founder, from negotiating long-term relationships to building a business that truly reflects your values.Chapters00:00 Introduction to The Rag Podcast and Laura Clark02:21 Laura's Journey in Recruitment and Family Dynamics12:03 Early Career Challenges and Growth in Recruitment18:19 Transitioning to Management and Leadership28:38 Taking Over the Family Business32:44 Navigating Business Challenges34:37 The Emotional Dynamics of Family Business38:35 Reflections on Business Exits41:30 Post-Acquisition Vision and Growth49:54 Balancing Remote Work and Team Dynamics55:03 Gender Equality in Leadership59:43 Juggling Work and Family Life__________________________________________Episode Sponsor: AtlasYour memory isn't perfect. So Atlas remembers everything for you. Atlas is an end-to-end recruitment platform built for the AI generation. It automates your admin so you can focus on the business tasks that matter. How many conversations do you have every day? With clients. Candidates. Your team. Service providers.Now how many of those conversations can you recall with 100% accuracy? How many hours a week do you spend making notes to try and retain as much as possible? And how much is still getting lost along the way? Traditional CRM systems weren't built for the type of recruitment business you're running right now. They were built to rely on the structured, tagged, categorised, and formal data you could feed it. Manual processes that needed you to input specific information, based on specific questions and answers. But what about all the other conversations you're having every single day? Atlas isn't an ATS or a CRM. It's an Intelligent Business Platform that helps you perform 10X better than you could on your own. How? By removing all your low value tasks, acting as your perfect memory, and providing highly relevant recommendations to impact your performance. Learn more about the power of Atlas – and take advantage of the exclusive offer for The RAG listeners – by visiting https://recruitwithatlas.com/therag/ __________________________________________Episode Sponsor: HoxoRecruitment agency founders - this one's for you.What's your plan for the rest of 2025?If it's based on more cold outreach, referrals, or hiring more recruiters… we've got news for you. That's not where the smart money is going.The market has changed. AI is everywhere. Noise is louder than ever.So if you want to scale profitably this year, you need to do things differently!It starts with what you already have.Your experience. Your network. Your voice.And we are showing you exactly how to use it in a brand-new, FREE Masterclass - built specifically

What if AI could decode government in real time? In this episode of Eye on AI, Craig Smith sits down with Pat Utz, CEO and Co-Founder of Abstract, the AI startup building “regulatory superintelligence” to track and analyze laws, bills, and regulations across 145,000+ government entities. Pat explains how Abstract evolved from university research into a venture-backed company helping law firms, enterprises, and policymakers cut through the noise of Congress, state legislatures, and regulatory agencies. From uncovering hidden amendments in massive bills to proactively identifying risks and opportunities for businesses, Abstract is transforming how we understand legislation. We cover: How AI is reshaping lobbying, law, and compliance Why Abstract is focused on proactive intelligence, not reactive compliance The role of AI agents, LLMs, and retrieval-augmented generation (RAG) in policy analysis Real examples of AI influencing funding and legislation The future of democracy when citizens and businesses have true transparency into government Whether you're in tech, law, government affairs, or just curious about how AI is changing democracy, this conversation reveals the future of policy intelligence.

At VMware Explore in Las Vegas, the buzz wasn't just about generative AI, but about where and how it should run. My guest is Tasha Drew, Director of Engineering for the AI team in the VMware Cloud Foundation division at Broadcom, who has been at the center of this conversation. Fresh off the main stage, where she helped debut VMware's new Private AI Services and Intelligent Assist for VMware Cloud Foundation, Tasha joins me to unpack what these announcements mean for enterprises grappling with privacy, cost, and integration challenges. Tasha explains why private AI is resonating so strongly in 2025, outlining the three pillars that define it: protecting sensitive intellectual property, managing regulated or high-value data, and ensuring role-based control of fine-tuned models. She shares how organizations often start their AI journey in the public cloud, but as experimentation turns to production, cost pressures, data compliance, and proximity to data drive them toward private AI. We also dive into VMware's own evolution toward building an AI-native private cloud platform. Tasha highlights the journey from deep learning VMs and Jupyter notebooks to full AI platform services that empower IT teams to deliver models efficiently, save money, and accelerate deployment of retrieval-augmented generation (RAG) applications. She introduces Intelligent Assist for VMware Cloud Foundation, an AI-powered guide that helps teams navigate complex deployments with context-aware support and step-by-step instructions. Beyond the technology, Tasha reflects on the broader ecosystem shifts, from partnerships with NVIDIA and AMD to the role of Model Context Protocol (MCP) in breaking down integration barriers between enterprise systems. She believes MCP represents a turning point, enabling seamless workflows between platforms that historically lacked incentive to work together. This conversation captures a pivotal moment where private AI is moving from theory into enterprise adoption. For leaders weighing their next move, Tasha provides both the strategic framing and the technical insight to understand why private AI has become one of the most talked-about forces shaping enterprise IT today.