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1:10:12EN
Cognitive Revolution "How AI Changes Everything"· 2026년 10월 7일팟캐스트OutSystems Went From 4 Major Features a Quarter to 26. Token Spend Fell Anyway진행자 Nathan LabenzCEO Woodson Martin on software that never breaks, why most enterprise work does not need a frontier model, and how AI is finally shrinking the IT backlog.기업과 전략엔터프라이즈 AI코딩 에이전트+3
1:35:29EN
Cognitive Revolution "How AI Changes Everything"· 2026년 9월 1일팟캐스트Uber Burned a Year of Tokens in 13 Weeks. Retrieval Is How Agents Win진행자 Nathan LabenzMongoDB Field CTO of AI Pete Johnson argues that agent performance now hinges on retrieval quality, not on stuffing million-token context windows.RAG와 지식검색 증강 생성(RAG)Agent memory+3
1:45:59EN
Cognitive Revolution "How AI Changes Everything"· 2026년 6월 10일팟캐스트87% of Workers Use AI. Only 13% Say the Company Got Better.진행자 Nathan LabenzGlean’s Work AI Index names the missing hours: botsitting, botshitting, and a hamster wheel of polished nonsense.기업과 전략엔터프라이즈 AIHuman-AI Collaboration+3
1:57:56EN
Cognitive Revolution "How AI Changes Everything"· 2026년 2월 5일팟캐스트A Hundred Million Lines at Twenty Cents Each: Inside Blitzy's Enterprise Coding Pipeline진행자 Nathan LabenzCEO Brian Elliott and CTO Sid Pardeshi tell Nathan Labenz how Blitzy turns a giant codebase into a map, then lets thousands of dynamically generated agents ship most of a multi-month project in days.코딩 에이전트Agent orchestration컨텍스트 엔지니어링+3
1:39:17EN
Cognitive Revolution "How AI Changes Everything"· 2026년 1월 29일팟캐스트AI Already Beats the Median Lawyer. Top Firms Bought the Tools and Left Them Unused진행자 Nathan LabenzKevin Frazier and Alan Rozenshtein walk through how frontier models are changing legal practice, why billable hours stall adoption, and which new rights and government limits they want next.기업과 전략AI Regulation안전과 거버넌스+3
1:40:51EN
Cognitive Revolution "How AI Changes Everything"· 2026년 1월 14일팟캐스트Reasoning Models Just Made the Other 80–90% of Enterprise Data Usable진행자 Nathan LabenzSnowflake VP of AI Baris Gultekin on text-to-SQL, RAG, agent design, and why inference has to run next to governed data.기업과 전략검색 증강 생성(RAG)엔터프라이즈 AI+3
1:13:24EN
Cognitive Revolution "How AI Changes Everything"· 2025년 11월 30일팟캐스트Red Teams Still Land 25% of Attacks. Insurance Is the Brake.진행자 Nathan LabenzAI Underwriting Company co-founders Rune Kvist and Rajiv Dattani tell Nathan Labenz how standards, audits, and insurance could unlock enterprise agents without waiting for a nuclear-style freeze.보안과 안전AI security안전과 거버넌스+3
50:08EN
Cognitive Revolution "How AI Changes Everything"· 2025년 11월 27일팟캐스트1Mind's AI Superhuman Now Sources 76% of the Pipeline진행자 Nathan LabenzAmanda Kahlow tells Zapier CEO Wade Foster why she tore up the sales org — and why a face on an agent is mostly a trick to get buyers talking.기업과 전략AI in sales & marketingGo-to-Market+3
1:41:34EN
Cognitive Revolution "How AI Changes Everything"· 2025년 11월 20일팟캐스트Chat Is the Universal Interface—and Often the Worst One진행자 Nathan LabenzAtlassian's head of AI on fighting slop with taste, knowledge, and workflow, and why chat is a terminal, not a product.기업과 전략AI interface designProduct Strategy+3
1:45:00EN
Cognitive Revolution "How AI Changes Everything"· 2025년 8월 6일팟캐스트America Holds 45% of the World's Data Centers. Everyone Else Must Build, Buy, or Ally진행자 Nathan LabenzAnjney Midha of a16z maps what “sovereign AI” actually means for companies and for countries that will never own the talent, data, and compute frontier.기업과 전략AI StrategyGeopolitics+3
1:27:01EN
Cognitive Revolution "How AI Changes Everything"· 2025년 8월 2일팟캐스트The $16 Trillion Services Market Is Being Bought, Not Sold To진행자 Nathan LabenzMarc Bhargava of General Catalyst explains how AI-enabled rollups turn low-margin service firms into compounding, software-like businesses.기업과 전략AI StrategyCompany Building+3
38:48EN
Cognitive Revolution "How AI Changes Everything"· 2025년 6월 14일팟캐스트Task Length Doubles Every Few Months. Nathan Labenz Still Wants Humans in Charge진행자 Nathan LabenzAt Imagine AI Live, the Cognitive Revolution host maps structured AI agents against autonomous agentic systems—and tells businesses to keep final control.에이전트에이전트 엔지니어링안전과 거버넌스+3
1:05:11EN
Cognitive Revolution "How AI Changes Everything"· 2025년 3월 19일팟캐스트The Fake Five-Second Hold: Voice AI Is Already Negotiating With Truckers진행자 Nathan Labenza16z partners Olivia Moore and Anish Acharya walk Nathan Labenz through what is working in voice AI — call centers, coaches, companions — and what still is not.제품과 UX음성 AIProduct Strategy+3
54:55EN
Cognitive Revolution "How AI Changes Everything"· 2025년 2월 22일팟캐스트New Jersey Cut Phone Waits from 40 Minutes to 90 Seconds진행자 Nathan LabenzGovernor Phil Murphy on the state AI assistant, a Princeton hub, and why he wants the best catcher's mitt in the country when superhuman systems arrive.기업과 전략AI Strategy엔터프라이즈 AI+3
1:29:02EN
Cognitive Revolution "How AI Changes Everything"· 2025년 2월 15일팟캐스트She Never Sees a Row of Your Data. The Answers Still Clear 95%.진행자 Nathan LabenzIllumex CEO Inna Tokarev Sela tells Nathan Labenz how a Platonic industry ontology, trained only on metadata, collapses enterprise software into one conversation.RAG와 지식컨텍스트 엔지니어링Knowledge graphs+3
56:07EN
Cognitive Revolution "How AI Changes Everything"· 2025년 1월 29일팟캐스트Box Holds 100 Billion Files. Its CEO Says Enterprises Only Move for a 10x진행자 Nathan LabenzAaron Levie tells Nathan Labenz why AI excitement in the enterprise already outruns the early cloud — and why 98% reliability, seat-based SaaS, and incremental savings still will not ship.기업과 전략엔터프라이즈 AIAI Strategy+3
1:29:00EN
Cognitive Revolution "How AI Changes Everything"· 2024년 12월 11일팟캐스트14,000 people applied. Thirty-three got in. The jobs are at Homeland Security.진행자 Nathan LabenzMichael Boyce, director of the DHS AI Corps, tells Nathan Labenz how the largest civilian AI team in the U.S. government is being built — and what it is already shipping.기업과 전략엔터프라이즈 AIAI Strategy+3
1:12:41EN
Cognitive Revolution "How AI Changes Everything"· 2024년 7월 6일팟캐스트The CEO Who Laid Himself Off Is Building a Business Operating System진행자 Nathan LabenzSiqi Chen of Runway tells Nathan Labenz why finance is a company-wide simulation, why chat boxes fail, and how a 100-person cap plus ambient intelligence is the real product strategy.기업과 전략엔터프라이즈 AI금융 AI+3
1:37:52EN
Cognitive Revolution "How AI Changes Everything"· 2024년 4월 10일팟캐스트China Has 17 Million Chatbot Users and No OpenAI진행자 Nathan LabenzA Beijing-based watcher walks through China's LLM players, products, regulation, and the delayed bill from the U.S. chip ban.기업과 전략엔터프라이즈 AIAI Strategy+3
1:28:37EN
Cognitive Revolution "How AI Changes Everything"· 2024년 3월 14일팟캐스트Twelve Hours After a GPT-4 Demo, He Turned a Decade-Old Legal Startup Around진행자 Nathan LabenzPablo Arredondo, co-founder of CaseText and now VP of CoCounsel at Thomson Reuters, traces legal research from 19th-century citators to a retrieval-anchored GPT-4 product that law firms treat more like a colleague than a search box.기업과 전략검색 증강 생성(RAG)평가(Evals)+3
1:30:41EN
Cognitive Revolution "How AI Changes Everything"· 2024년 1월 23일팟캐스트The Model Is a Baked Cake. NYT v. OpenAI Will Likely Cut a Middle Path진행자 Nathan LabenzTech lawyer Cecilia Ziniti maps the Constitution’s IP clause onto the New York Times lawsuit — and explains why a court is unlikely to order GPT-4 destroyed.기업과 전략AI RegulationOpenAI+3
1:53:08EN
Cognitive Revolution "How AI Changes Everything"· 2024년 1월 18일팟캐스트When GPT-4 Writes SQL, Four Tables Is the Breaking Point진행자 Nathan LabenzJuan Sequeda on why a knowledge graph is the accurate, explainable brain that foundation models do not have.RAG와 지식Knowledge graphs검색 증강 생성(RAG)+3
1:22:43EN
Cognitive Revolution "How AI Changes Everything"· 2024년 1월 9일팟캐스트Five billion minutes of calls: why Dialpad trained its own business LLM진행자 Nathan LabenzDan O’Connell on real-time speech, verticalizing the stack, and why he and Nathan Labenz disagree about when AI employees show up.기업과 전략음성 AI엔터프라이즈 AI+3
59:28EN
Cognitive Revolution "How AI Changes Everything"· 2023년 6월 16일팟캐스트From $500,000 to $50,000: MosaicML Made Training Your Own Model a Priced Product진행자 Nathan LabenzJonathan Frankle and Abhi Venigalla explain who is training custom LLMs, why extraction beats chat, and how ALiBi stretches a 65k context window.모델과 학습파인튜닝Pretraining & midtraining+3
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