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29 件
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スライド 7 枚18:56EN
AI Engineer· 2026年10月27日John Feminella: Five Controls for AI Agents, and the $900 Million Bank ErrorJohn Feminella · Two SigmaA payment mistake shows why good intentions and approval prompts are not enough. Feminella describes practical controls for giving agents useful autonomy.安全性とガバナンスエージェント工学金融 AI+2
スライド 6 枚23:22EN
AI Engineer· 2026年10月27日Noyan Tokgozoglu: How Optiver Builds an AI Platform for Fast, Measurable DecisionsNoyan Tokgozoglu · OptiverThe trading firm’s AI engineering lead explains same-day model adoption, on-premises infrastructure, cost controls and the limits of replaying agent evaluations.AI platform engineering評価(Evals)AI cost & performance+2
スライド 9 枚20:58EN
AI Engineer· 2026年10月25日Vinoo Ganesh on Making Financial AI Cite Every NumberVinoo Ganesh · KeplerKepler CEO Vinoo Ganesh explains why financial AI should retrieve and cite figures while deterministic software handles the math. His design makes traceability, retrieval quality, and tenant security part of the answer itself.金融 AIエンタープライズ AI検索拡張生成(RAG)+2
スライド 10 枚18:31EN
AI Engineer· 2026年10月25日Janie Gu and Suyeol Yun: Why Frontier Models Fail as Buy-Side AnalystsJanie Gu, Suyeol Yun · Google DeepMindJanie Gu explains why benchmark scores can mislead, while Suyeol Yun presents MandateBench, which tests whether a model can turn a fund mandate into a defensible investment memo. The two talks show why real workflows, reproducible grading, and evidence-backed reasoning matter.金融 AIBenchmarks評価(Evals)+2
26:41EN
Latent Space· 2026年10月22日ポッドキャスト · 2 人Anekha Sokhal on Moshi, a Recommendation Engine for Commodity Tradersゲスト Anekha Sokhal · ホスト swyxThe Moshi founder tells swyx how she would rebuild a trader’s workflow: connect market data, private files and conflicting sources, then push the second-order effects people would otherwise miss. The hard part is not the dashboard. It is getting someone to actually use it.金融 AIRecommendation systemsData quality & curation+2
スライド 6 枚15:30EN
AI Engineer· 2026年10月20日How Monzo Built Agent Chip into a Reusable Banking PlatformFelippe Felisola Caso, Francesco Galletta · MonzoMonzo’s team explains the platform, access controls and workflows behind its in-house agent.コーディングエージェントAgent orchestrationエンタープライズ AI+2
スライド 3 枚17:41EN
AI Engineer· 2026年10月20日Al Chen: Evidence, Recovery and Data Controls for AI in BanksAl Chen · CiscoA practical discussion of vulnerabilities, disaster recovery and sensitive data in bank AI deployments.エンタープライズ AIセキュリティと安全性Privacy & data governance+2
45:10EN
No Priors: AI, Machine Learning, Tech, & Startups· 2026年9月10日ポッドキャスト · 2 人76% of Agentic Commerce Is Under 30 Cents — So Coinbase Is Banking the AIsホスト Sarah Guo, Elad GilBrian Armstrong tells Elad Gil how Coinbase became an everything exchange, why card networks cannot price agent-to-agent payments, and what his longevity company is taking into the clinic.エージェントAgentic commerce金融 AI+3
44:01EN
No Priors: AI, Machine Learning, Tech, & Startups· 2026年4月9日ポッドキャスト · 2 人A millionth of a penny: Jeremy Allaire on the payment rails of the agentic economyホスト Sarah Guo, Elad GilCircle's CEO tells No Priors why stablecoins and a purpose-built chain, not the legacy banking stack, are the money layer for software that buys and sells on its own.エージェントAgentic commerce金融 AI+3
スライド1:55:39EN
Matthew Berman· 2025年12月20日AI Infrastructure, Gemini and Prediction Markets: Forward Future LiveMatthew Berman, Nick Wentz, Doug O’Laughlin, Koray Kavukcuoglu, Logan Kilpatrick, Abhishek Fatehpuria · Forward FutureSemiAnalysis, Google DeepMind and Robinhood guests join Matthew Berman and Nick Wentz to discuss model speed, chip supply, research, safety and financial products.インフラとデプロイAI cost & performanceAI research+2
40:46EN
No Priors: AI, Machine Learning, Tech, & Startups· 2025年12月19日ポッドキャスト · 2 人Doctors Are Rushing to AI. Robotics Will Take a Beating First.ホスト Sarah Guo, Elad GilSarah Guo and Elad Gil’s 2026 forecast for foundation models, IPOs, robotics, consumer agents, and the bets that are not about AI at all.企業と戦略AI StrategyAI startups & small teams+3
1:22:07EN
Cognitive Revolution "How AI Changes Everything"· 2025年9月25日ポッドキャストEvery payment is a frame in a movie. Stripe’s foundation model took card-testing detection from 59% to 97%ホスト Nathan LabenzEmily Sands, Stripe’s head of data and AI, explains how a domain-specific payments model, shared embeddings, and mixed rules turn a $1.4 trillion network into compounding advantage.モデルと学習金融 AIEmbeddings+3
1:23:32EN
Cognitive Revolution "How AI Changes Everything"· 2025年6月28日ポッドキャストHTTP 402 Slept for Thirty Years. Coinbase Turned It Into a Payment Protocol for AI Agentsホスト Nathan LabenzNemil Dalal, Coinbase's developer platform lead, explains x402, the open standard that lets agents pay for APIs with stablecoins instead of ads or credit cards.エージェントAgentic commerceエージェント認証+3
38:48EN
Sequoia Capital· 2024年12月3日ポッドキャストWho Wants to Chat With an Expense Report?Ramp CEO Eric Glyman tells Sequoia why the chatbot gold rush missed the point, and why the better analogy for company finance is a Waymo: self-driving money.プロダクトと UXエンタープライズ AI金融 AI+3
55:01EN
20VC with Harry Stebbings· 2024年11月1日ポッドキャスト · 2 人Vlad Tenev on GameStop, Robinhood’s Growth and AI in Financeゲスト Vlad Tenev · ホスト Harry StebbingsThe Robinhood CEO reflects on a turbulent trading crisis, company culture, financial products and the potential role of AI.FintechCompany BuildingLeadership+2
48:20EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024年8月15日ポッドキャスト · 2 人Not Spending $100 Is a Hundred Times Better Than a Dollar Backホスト Sarah Guo, Elad GilRamp co-founders Eric Glyman and Karim Atiyeh walk through self-driving money, Iron Man suits for sales, and why they never lead with the word AI.企業と戦略エンタープライズ AI金融 AI+3
33:10EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024年8月8日ポッドキャスト · 2 人A Weekend Prototype Now Autocompletes a Third of Brex Expensesホスト Sarah Guo, Elad GilPedro Franceschi tells Sarah Guo and Elad Gil how a 48-hour GPT-3.5 hack became an assistant for 30,000 companies — and why firing 20,000 customers was a leadership-bandwidth decision.企業と戦略エンタープライズ AI金融 AI+3
2:46EN
Jane Street· 2024年7月18日Matt on Machine Learning and Trading at Jane StreetMatt · Jane StreetA Hong Kong equities trader describes the challenges of financial data, the firm’s ML roles and its collaborative culture.Machine Learning金融 AICareers+1
1:12:41EN
Cognitive Revolution "How AI Changes Everything"· 2024年7月6日ポッドキャストThe CEO Who Laid Himself Off Is Building a Business Operating Systemホスト 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.企業と戦略エンタープライズ AI金融 AI+3
スライド 5 枚19:46EN
Matthew Berman· 2024年4月15日Building a CrewAI Financial-Analysis Team on Lightning AIMatthew Berman · Forward FutureMatthew Berman demonstrates a 2024 two-agent workflow, first using Groq and then connecting a cloud-hosted Ollama model.エージェント工学Multi-agent systems開発ワークフローとテスト+1
39:25EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024年2月8日ポッドキャスト · 2 人Three Engineers, Three Weeks: The Internal LLM Tool Half of Stripe Uses Every Weekホスト Sarah Guo, Elad GilEmily Glassberg Sands, Stripe's head of information, explains how a non-AI company got generative AI into employees' hands, then into Radar, Sigma, and the products customers actually pay for.企業と戦略エンタープライズ AIProduct Strategy+3
1:08:53EN
20VC with Harry Stebbings· 2023年9月11日ポッドキャスト · 2 人David Vélez on Nubank, Financial Access and AI Bankingゲスト David Vélez · ホスト Harry StebbingsThe Nubank founder discusses building a primary bank in Latin America, expanding beyond finance and the incentive questions facing AI advice.FintechCompany BuildingLeadership+2
スライド 5 枚6:24EN
Matthew Berman· 2023年4月6日BloombergGPT: Mixing Financial and General Data for a Language ModelMatthew Berman · Forward FutureMatthew Berman examines the 2023 finance-focused research model, its training corpus, evaluation and decision not to release weights.金融 AIモデルと学習評価(Evals)+1
2:59:57EN
Lex Fridman· 2021年5月1日ポッドキャスト · 2 人The Farmer With a $50 Phone: Sergey Nazarov on Oracles, Trust, and Hybrid Smart Contractsゲスト Sergey Nazarov · ホスト Lex FridmanThe Chainlink co-founder tells Lex Fridman how definitive truth, oracle networks, and cryptographically guaranteed contracts could leapfrog banks, insurers, and marble-column confidence.企業と戦略CryptocurrencyPrivacy & data governance+3
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