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In this episode of Data Skeptic's Recommender Systems series, host Kyle Polich explores DataRec, a new Python library designed to bring reproducibility and standardization to recommender systems research. Guest Alberto Carlo Mario Mancino, a postdoc researcher from Politecnico di Bari, Italy, discusses the challenges of dataset management in recommendation research—from version control issues to preprocessing inconsistencies—and how DataRec provides automated downloads, checksum verification, and standardized filtering strategies for popular datasets like MovieLens, Last.fm, and Amazon reviews. The conversation covers Alberto's research journey through knowledge graphs, graph-based recommenders, privacy considerations, and recommendation novelty. He explains why small modifications in datasets can significantly impact research outcomes, the importance of offline evaluation, and DataRec's vision as a lightweight library that integrates with existing frameworks rather than replacing them. Whether you're benchmarking new algorithms or exploring recommendation techniques, this episode offers practical insights into one of the most critical yet overlooked aspects of reproducible ML research.
2B Bolder Podcast : Career Insights for the Next Generation of Women in Business & Tech
What if the fastest way to grow your career is to reinvent how you work before the market forces you to? In this episode, I had the pleasure of sitting down with Caitlin Clark-Zigmond, a two-time entrepreneur and former CMO for Intel's global software and SaaS portfolio, to map the leap from hands-on operator to AI-powered brand builder, and why clear value translation beats clever slogans every time.Caitlin takes us from scaling a catering business to shipping Comcast Digital Voice, to leading massive B2B portfolios at Verizon and Intel. We dig into how Intel Tiber emerged to make software visible inside a hardware giant, uniting trust and security, AI and ML, edge and cloud, performance optimization, and developer workflows under a narrative customers could navigate. The result: sharper messaging, analyst clarity, and real pipeline acceleration. If your portfolio feels like a maze, her brand framework shows you how to draw a clean map.Then we get practical with AI go-to-market. Forget tool-chasing—start with painful use cases, build on clean, connected data, and let AI amplify what already moves the needle. Caitlin explains why a CDP or an MCP layer unlocks CRM, marketing automation, analytics, billing, and customer success, enabling them to communicate effectively with each other. We cover intent data for account prioritization, conversation intelligence for coaching, predictive scoring for pipeline, and agents that handle repetitive data pulls and weekly reporting so teams can focus on thinking, not tab-hopping.For leaders and modern marketers, the upskilling path is clear: achieve 30% fluency in core AI concepts, measurement, and understanding how your stack—HubSpot, Salesforce, GA, CDPs, and chat systems —actually works. You don't need to code; you need to understand revenue mechanics. We also share Caitlin's strategic networking system—the 5–5–5 method—that turns coffee chats into an operating system for your career, with value-first follow-ups that work even for introverts.We conclude with candid insights on the value of progress over perfection, investing in relationships before you need them, and redefining success in terms of client transformation, sustainable growth, and work-life integration. Subscribe, share with a friend, and tell us: what's the scary move you're finally ready to make?Resources: Website: www.clarkgp.com LinkedIn: https://www.linkedin.com/in/caitlinclarkzigmond Upcoming LILive GTM Event: https://www.linkedin.com/events/2026gtmrealitycheck-makemisalig7393722093324107776/Monthly Blog: https://gtmmaven.substack.com/p/why-the-c-suite-must-work-together
• Grasshopper Face • No Eyebrows In Style Again • The Day I Forgot Myself • Jackie & The Horse • What Happened To Sweetie? .• Dog Near Death Recovers • Todays WINNER of a Free Reading With Venus, chosen weekly off ML is read on the show • Private & On Air Reading Comments & Testimonials • Studio Callers: Terry & The Murk In The Basement & Ann's Dead Family Is Hard To Read • Instagram: venus_andrecht Callers always get free On Air readings every live Dear Venus show Wednesdays at 2 pm PAC/5 pm EST. Call the show at (760) 456-7277. Visit godisalwayshappy.com for Radio & Private Reading information.
00:00-20:00: ML explains why this year might be a throw away year for the Buffalo Bills. Thanks to Rosie's Corner and CH Insurance. Hosted by Simplecast, an AdsWizz company. See https://pcm.adswizz.com for information about our collection and use of personal data for advertising.
00:00-15:00: Batavia Downs Gaming's Ryan Hasenauer chats about the weekend Holiday Festival at BD, ML's recent visit, Thurman Thomas meet and greet upcoming and more. Plus, a Breeder's Cup recap. Presented by Batavia Downs Gaming and Western OTB. Hosted by Simplecast, an AdsWizz company. See https://pcm.adswizz.com for information about our collection and use of personal data for advertising.
Welcome to the 'Securing Our Future' podcast by New North Ventures, where commercial and national security sectors converge to spur innovation. In this episode, host Jeremy sits down with Paul Lwin, the pioneer behind HavocAI, a maritime technology company that's just 21 months old. Paul shares their incredible journey of raising $85 million, growing a team of 80, and generating $3 million in revenue through advanced autonomous maritime vessels. Learn about Havoc'AIs mission to create a 'Hellscape' in the Pacific with thousands of intelligent vessels, overcoming challenges in maritime environments, and utilizing cutting-edge AI and ML technologies. With real-world applications and insights into dual-use innovation, this episode sheds light on the future of maritime domain awareness and autonomous systems. Subscribe to our newsletter for more updates and resources.00:00 Introduction to Securing Our Future Podcast00:44 Welcoming Paul and HavocAI's Journey01:59 Challenges and Innovations in Maritime Autonomy04:19 Technical and Operational Insights09:44 Commercial and Defense Applications14:49 Future Prospects and Industry Impact27:15 Conclusion and Final Thoughts
Modern data analytic methods and tools—including artificial intelligence (AI) and machine learning (ML) classifiers—are revolutionizing prediction capabilities and automation through their capacity to analyze and classify data. To produce such results, these methods depend on correlations. However, an overreliance on correlations can lead to prediction bias and reduced confidence in AI outputs. Drift in data and concept, evolving edge cases, and emerging phenomena can undermine the correlations that AI classifiers rely on. As the U.S. government increases its use of AI classifiers and predictors, these issues multiply (or use increase again). Subsequently, users may grow to distrust results. To address inaccurate erroneous correlations and predictions, we need new methods for ongoing testing and evaluation of AI and ML accuracy. In this podcast from the Carnegie Mellon University Software Engineering Institute (SEI), Nicholas Testa, a senior data scientist in the SEI's Software Solutions Division (SSD), and Crisanne Nolan, and Agile transformation engineer, also in SSD, sit down with Linda Parker Gates, Principal Investigator for this research and initiative lead for Software Acquisition Pathways at the SEI, to discuss the AI Robustness (AIR) tool, which allows users to gauge AI and ML classifier performance with data-based confidence.
A shorter than usual episode about the future of the pod - 2026 and beyond. We will be continuing our support of the Oceania (formerly AusACPDM) conference, the EACD conference and the AACPDM conference in 2026 with in-person, on-site, live broadcasts from Australia, Europe and the Americas!2025 has also seen the team behind the pod launch the ResearchWorks Academy - an entirely FREE online portal for clinicians and researchers, designed to be a one-stop site for all your clinical application needs. You can register today for full access.From AI and ML driven toolsets, to reports, templates, flowcharts, decision trees, outcome measures and more - we are aiming to empower clinicians across the globe with the tools needed to implement evidence based practices. Let us know if you have any suggestions for the site and how we can continue to develop the resources available.On demand courses will also soon launch - we are working with international partners from across the ResearchWorks network to provide the very latest information, courses and educational tools too, so stay tuned!Visit www.researchworks.academy
Posvícenské pečení s Vojtou Vrtiškou: Skořicové pletence. Rada z etikety Ladislava Špačka: Můžeme si požádat o sýr? Mlýnek na mák nemohl chybět v žádné domácnosti.
Posvícenské pečení s Vojtou Vrtiškou: Skořicové pletence. Rada z etikety Ladislava Špačka: Můžeme si požádat o sýr? Mlýnek na mák nemohl chybět v žádné domácnosti.
Posvícenské pečení s Vojtou Vrtiškou: Skořicové pletence. Rada z etikety Ladislava Špačka: Můžeme si požádat o sýr? Mlýnek na mák nemohl chybět v žádné domácnosti.
Posvícenské pečení s Vojtou Vrtiškou: Skořicové pletence. Rada z etikety Ladislava Špačka: Můžeme si požádat o sýr? Mlýnek na mák nemohl chybět v žádné domácnosti.
Posvícenské pečení s Vojtou Vrtiškou: Skořicové pletence. Rada z etikety Ladislava Špačka: Můžeme si požádat o sýr? Mlýnek na mák nemohl chybět v žádné domácnosti.
Posvícenské pečení s Vojtou Vrtiškou: Skořicové pletence. Rada z etikety Ladislava Špačka: Můžeme si požádat o sýr? Mlýnek na mák nemohl chybět v žádné domácnosti.
Posvícenské pečení s Vojtou Vrtiškou: Skořicové pletence. Rada z etikety Ladislava Špačka: Můžeme si požádat o sýr? Mlýnek na mák nemohl chybět v žádné domácnosti.
Posvícenské pečení s Vojtou Vrtiškou: Skořicové pletence. Rada z etikety Ladislava Špačka: Můžeme si požádat o sýr? Mlýnek na mák nemohl chybět v žádné domácnosti.
Posvícenské pečení s Vojtou Vrtiškou: Skořicové pletence. Rada z etikety Ladislava Špačka: Můžeme si požádat o sýr? Mlýnek na mák nemohl chybět v žádné domácnosti.
Posvícenské pečení s Vojtou Vrtiškou: Skořicové pletence. Rada z etikety Ladislava Špačka: Můžeme si požádat o sýr? Mlýnek na mák nemohl chybět v žádné domácnosti.
Posvícenské pečení s Vojtou Vrtiškou: Skořicové pletence. Rada z etikety Ladislava Špačka: Můžeme si požádat o sýr? Mlýnek na mák nemohl chybět v žádné domácnosti.
Posvícenské pečení s Vojtou Vrtiškou: Skořicové pletence. Rada z etikety Ladislava Špačka: Můžeme si požádat o sýr? Mlýnek na mák nemohl chybět v žádné domácnosti.
AI Unraveled: Latest AI News & Trends, Master GPT, Gemini, Generative AI, LLMs, Prompting, GPT Store
AI Weekly News Rundown November 02 to November 09 3025:Welcome to AI Unraveled, Your daily briefing on the real world business impact of AIIn this week's edition:
Nightfall AI is pioneering AI-native data loss prevention (DLP) for enterprises navigating cloud, SaaS, and AI application proliferation. Founded in 2017 by former Uber engineers who witnessed data breaches firsthand, Nightfall addresses the architectural limitations and false positive problems plaguing legacy DLP solutions. By leveraging machine learning and large language models across three distinct layers—content classification, risk assessment, and forensic investigation—Nightfall delivers 10x accuracy improvements while enabling secure AI adoption. In this episode of Category Visionaries, I sat down with Rohan Sathe, Co-Founder & CEO of Nightfall AI, to explore their strategy for displacing entrenched incumbents and positioning as the security enabler for organizational AI deployment. Topics Discussed: Nightfall's founding thesis addressing DLP coverage gaps created by cloud and SaaS migration Three-layer AI architecture: content classification, behavioral risk analysis, and agent-assisted forensics Positioning against legacy DLP's rules-based approaches and exact data match workarounds Market education shift post-ChatGPT: from "don't use AI" to "enable AI securely" Purple brand differentiation strategy in security's dark-themed visual landscape Conference ROI reallocation: executive suite meetings versus booth presence at RSA and Black Hat Mid-market to enterprise expansion pattern through peer-to-peer word-of-mouth Founder-led LinkedIn strategy balancing market education with competitive displacement narratives Sales team composition: domain practitioners versus traditional sales profiles GTM Lessons For B2B Founders: Structure POVs to prove quantifiable superiority on one dimension: Rohan revealed Nightfall benchmarks against Google and Microsoft DLP APIs, demonstrating 10x accuracy improvements during proof-of-value cycles. When challenging mature categories, identify the single metric where you demonstrably outperform and architect evaluations to surface that gap. The key isn't claiming superiority—it's creating controlled comparisons where buyers verify it themselves. Deploy AI across three workflow layers, not as a monolithic feature: Nightfall applies AI distinctly at content classification (identifying sensitive data with high precision), behavioral analysis (distinguishing risky data movement from standard workflows), and investigation assistance (helping analysts focus forensic efforts). This creates compounding value and defensibility. Map where AI can reduce friction at multiple decision points in your customer's workflow rather than treating it as a single capability. Replace field marketing spend with curated CISO access: Nightfall redirected budget from RSA and Black Hat booths to private suites hosting scheduled executive meetings. Rohan emphasized engaging "chief information security officers who sign the checks" in intimate settings rather than booth traffic. For enterprise sales, calculate cost-per-meeting with economic buyers and reallocate spend accordingly. Design 8-person dinners as vendor-neutral industry forums: Nightfall hosts 3-4 annual dinners with 5-7 prospects and 2-3 team members (founders, head of product) structured around industry developments—like OpenAI's agent workflow builder and security implications—not product pitches. The format positions Nightfall as thought leaders while qualifying prospects through discussion quality. Agenda topics, not sales decks, drive conversion. Hire former practitioners into quota-carrying roles: Rohan identified hiring former DLP security operations analysts as account executives or solutions architects, mirroring trends in legal tech (hiring lawyers) and HR tech (hiring recruiters). For technical categories with sophisticated buyers, domain fluency in customer-facing roles outweighs traditional sales experience. This isn't solutions engineering—it's putting practitioners in quota-carrying positions. Use LinkedIn for two narratives: market education and competitive wins: Rohan posts thought leadership on DLP evolution and AI security implications alongside selective announcements of competitive displacements at enterprise AI companies and top 10 banks. He noted role postings also drive engagement, signaling growth momentum. The pattern: educate on category gaps, prove you're winning deals in those gaps, show team expansion. Avoid pure product promotion. Leverage AI adoption mandates as your demand generation engine: Post-ChatGPT, Rohan noted "board mandate and CEO mandate from every company to use as much AI as you can" created new security requirements. Nightfall shifted positioning from "prevent data loss" to "enable AI adoption securely." When macro shifts create executive-level mandates in your category, realign messaging around enabling that mandate rather than preventing its risks. Challenge category conventions through education, not assertion: Rather than simply claiming exact data match (EDM) is obsolete, Nightfall explains EDM emerged as a workaround for rules-based approaches' false positive problems—and ML eliminates the need for workarounds entirely. When displacing established practices, reveal why current solutions exist (what problem they patch) before explaining why your approach eliminates the underlying issue. // Sponsors: Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. www.FrontLines.io The Global Talent Co. — We help tech startups find, vet, hire, pay, and retain amazing marketing talent that costs 50-70% less than the US & Europe. www.GlobalTalent.co // Don't Miss: New Podcast Series — How I Hire Senior GTM leaders share the tactical hiring frameworks they use to build winning revenue teams. Hosted by Andy Mowat, who scaled 4 unicorns from $10M to $100M+ ARR and launched Whispered to help executives find their next role. Subscribe here: https://open.spotify.com/show/53yCHlPfLSMFimtv0riPyM
Expert analysis. Quality bets. Foolproof logic. WEVE GOT IT ALL HERE Also heres my bets (not updated with the 2,200 aggie ML bet yet): https://docs.google.com/spreadsheets/d/1rcvu_YlKFGMeEiu_wTEMdL9Yr8pIwSh9C7A1GjugiIY/edit?gid=34550878#gid=34550878
Today we delve into the intricate world of AI assessment, review and audit methodologies, focusing on international frameworks and regulatory approaches. The discussion features experts from the City Bar Presidential Task Force on Artificial Intelligence and Digital Technologies, including Azish Filabi (American College McGuire Center for Ethics and Financial Services), Rim Belaoud (Forensic Risk Analysis), Nikhil Aggarwal (Deloitte Anti Money-Laundering), Lenka Molins (Deloitte AI and Internet Regulation) and Jerome Walker (Task Force Co-Chair). They explore the definitions, methodologies, and challenges of AI audits across different jurisdictions such as the US, EU, Canada, and the UK, providing perspectives on issues related to methodologies, bias, transparency, and accountability. The episode also covers practical approaches for organizations to review AI models and highlights the importance of robust AI governance in various sectors, including financial services, A-ML, CFT, fraud, and export controls. 00:00 Introduction to the Podcast 00:50 Overview of AI Assessments, Reviews, and Audits 02:20 Key Definitions and Concepts in AI 05:44 Panelist Introductions 08:39 Discussion on Responsible and Trustworthy AI 18:33 Training AI Models and Explainability 22:33 Challenges in AI Assessments and Reviews 27:09 Global Perspectives on AI Audits 39:10 Practical Approaches for AI Model Reviews 53:57 Key Skills for AI Model Audits 59:27 Introduction and Areas of Practice 01:01:31 AI in Anti-Money Laundering and Counter-Terrorist Financing 01:07:36 AI Models in Fraud Detection 01:14:41 Export Control on AI Models 01:21:35 International AI Audit Methodologies 01:27:42 Challenges in AI Audits 01:42:10 Accountability in AI Audits 01:46:13 Conclusion and Final Thoughts
00:00-15:00: ML recaps SU's win over Binghamton and says it's all about stacking wins, reps and getting better until the gauntlet arrives. Thanks to CH Insurance and Byrne Dairy. Hosted by Simplecast, an AdsWizz company. See https://pcm.adswizz.com for information about our collection and use of personal data for advertising.
Jack Pertschuck, former Principal Engineer at Pinecone, discusses what vector databases are and why they matter for AI and search applications. He also discusses the challenges of communicating the value of this technology when the problem isn't widely understood. Key Takeaways: Advice for teams looking to adopt vector search technology The importance of hybrid and cascading retrieval methods The significance of context engineering and evaluation metrics in AI systems How Pinecone is democratizing vector database technology for AI and machine learning applications Guest Bio: Jack Pertschuk is a former Principal Engineer with Pinecone, the market leader in vector databases. As the company's founding engineer and lead for algorithms, applied research, and platform, Jack is responsible for the roadmap and execution across research and engineering for search index efficiency and accuracy. Prior to Pinecone, Jack was a founder of SidekickQA and creator of the NBoost open source neural ranking engine. He is an active member of the Rust and Information Retrieval research community, and is passionate about solving problems at the intersection of ML and systems. ---------------------------------------------------------------------------------------- About this Show: The Brave Technologist is here to shed light on the opportunities and challenges of emerging tech. To make it digestible, less scary, and more approachable for all! Join us as we embark on a mission to demystify artificial intelligence, challenge the status quo, and empower everyday people to embrace the digital revolution. Whether you're a tech enthusiast, a curious mind, or an industry professional, this podcast invites you to join the conversation and explore the future of AI together. The Brave Technologist Podcast is hosted by Luke Mulks, VP Business Operations at Brave Software—makers of the privacy-respecting Brave browser and Search engine, and now powering AI everywhere with the Brave Search API. Music by: Ari Dvorin Produced by: Sam Laliberte
** AWS re:Invent 2025 Dec 1-5, Las Vegas - Register Here! **Trellix's Director of Strategy Zak Krider reveals how they automated tedious security tasks like event parsing and threat detection using Amazon Bedrock's multi-model approach, achieving 100% accuracy while eliminating bottlenecks in their development lifecycle.Topics Include:Trellix merged FireEye and McAfee Enterprise, combining two decades of cybersecurity AI expertiseProcessing thousands of daily security events revealed traditional ML's weakness: overwhelming false positivesTwo years ago, they integrated generative AI to automate threat investigation workflowsAmazon Bedrock's multi-model access enabled rapid testing and "fail fast, learn fast" methodologyBuilt custom cybersecurity testing framework since public benchmarks don't reflect domain-specific needsAgentic AI now autonomously investigates threats across dark web, CVEs, and telemetry dataAWS NOVA builds investigation plans while Claude executes detailed threat research analysisLaunched "Sidekick" internal tool with agents mimicking human developer onboarding processesChose prompt engineering over fine-tuning for flexibility, cost-effectiveness, and faster iterationAutomated security rule generation across multiple languages that typically require unicorn developersAchieved 100% accuracy in automated event parsing, eliminating tedious manual SOC workKey lesson: don't default to one model; test and mix for optimal resultsParticipants:Zak Krider - Director of Strategy & AI, TrellixSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/
Intro topic: Asymmetric ReturnsNews/Links:NanoChat by Andrej Karpathyhttps://github.com/karpathy/nanochatPydantic AIhttps://www.marktechpost.com/2025/03/25/pydanticai-advancing-generative-ai-agent-development-through-intelligent-framework-design/1000th Starlink this yearhttps://spaceflightnow.com/2025/05/16/live-coverage-spacex-plans-morning-launch-of-starlink-satellites-from-california/ChatGPT Apps SDKhttps://openai.com/index/introducing-apps-in-chatgpt/Book of the ShowPatrickThe Will of the Many by James Islingtonhttps://amzn.to/43IfU8QJasonInterview with DHH (Founder of Ruby on Rails)https://www.youtube.com/watch?v=vagyIcmIGOQPatreon Plug https://www.patreon.com/programmingthrowdown?ty=hTool of the ShowPatrickFactoriohttps://www.factorio.com/ Jasonnip.io Topic: Workflow OrchestratorsWhyBatch jobs (embarrassingly parallel)Long-running tasks (e.g. transcoding video)Checkpointing/resumingHowMessage QueuesContainerizationWorker Pools & AutoscalingHistory & BackfillSteps to run workflows:Containerize the workflow definition and send to the cloudContainerize all the individual tasksSubmit job(s)ExamplesAirflowLegacy but dominantDagsterGreat UX for python developersTemporal: https://temporal.io/The new hotnessRayLow-level but very powerfulKubeflowDesigned for ML workflows, integrated dashboard ★ Support this podcast on Patreon ★
00:00-15:00: Jack Eichel is on a mission. MVP later this year? Another Cup? ML says he has never seen the former Sabre look this good. Thanks to CH Insurance and Rosie's Corner. Hosted by Simplecast, an AdsWizz company. See https://pcm.adswizz.com for information about our collection and use of personal data for advertising.
HTML All The Things - Web Development, Web Design, Small Business
In this episode, Matt and Mike compare JavaScript and Python for building LLM-powered chatbots. They explore how each ecosystem handles tool calling, type safety, performance, and framework support — from TypeScript's tight end-to-end types to Python's dominance in data and ML. They also discuss architecture patterns that mix the best of both worlds, helping teams choose the right stack for scalable, efficient AI projects. Show Notes: https://www.htmlallthethings.com/podcast/javascript-vs-python-which-is-better-for-building-llm-chatbots Powered by CodeRabbit - AI Code Reviews: https://coderabbit.link/htmlallthethings Use our Scrimba affiliate link (https://scrimba.com/?via=htmlallthethings) for a 20% discount!! Full details in show notes.
Dr. Jeff Schwartzentruber is a Senior Machine Learning Scientist at eSentire, working on anomaly detection pipelines and the use of large language models to enhance cybersecurity operations.The Evolution of AI in Cyber Security // MLOps Podcast #344 with Jeff Schwartzentruber, Staff Machine Learning Scientist at eSentire.Join the Community: https://go.mlops.community/YTJoinInGet the newsletter: https://go.mlops.community/YTNewsletter// AbstractModern cyber operations can feel opaque. This talk explains—step by step—what a security operations center (SOC) actually does, how telemetry flows in from networks, endpoints, and cloud apps, and what an investigation can credibly reveal about attacker behavior, exposure, and control gaps. We then trace how AI has shown up in the SOC: from rules and classic machine learning for detection to natural-language tools that summarize alerts and turn questions like “show failed logins from new countries in the last 24 hours” into fast database queries. The core of the talk is our next step: agentic investigations. These GenAI agents plan their work, run queries across tools, cite evidence, and draft analyst-grade findings—with guardrails and a human in the loop. We close with what's next: risk-aware auto-remediation, verifiable knowledge sources, and a practical checklist for adopting these capabilities safely.// BioDr. Jeff Schwartzentruber holds the position of Sr. Machine Learning Scientist at eSentire – a Canadian cybersecurity company specializing in Managed Detection and Response (MDR). Dr. Schwartzentruber's primary academic and industry research has been concentrated on solving problems at the intersection of cybersecurity and machine learning (ML). Over his +10-year career, Dr. Schwartzentruber has been involved in applying ML for threat detection and security analytics for several large Canadian financial institutions, public sector organizations (federal), and SME's. In addition to his private sector work, Dr. Schwartzentruber is also an Adjunct Faculty at Dalhousie University in the Department of Computer Science, a Special Graduate Faculty member with the School of Computer Science at the University of Guelph, and a Sr. Advisor on AI at the Rogers Cyber Secure Catalysts.// Related LinksWebsite: https://www.esentire.com/~~~~~~~~ ✌️Connect With Us ✌️ ~~~~~~~Catch all episodes, blogs, newsletters, and more: https://go.mlops.community/TYExploreJoin our Slack community [https://go.mlops.community/slack]Follow us on X/Twitter [@mlopscommunity](https://x.com/mlopscommunity) or [LinkedIn](https://go.mlops.community/linkedin)] Sign up for the next meetup: [https://go.mlops.community/register]MLOps Swag/Merch: [https://shop.mlops.community/]Connect with Demetrios on LinkedIn: /dpbrinkmConnect with Jeff on LinkedIn: /jeff-schwartzentruber/
AWS Morning Brief for the week of November 3rd, with Corey Quinn. Links:Beyond pilots: A proven framework for scaling AI to productionNew Amazon CloudWatch metrics to monitor EC2 instances exceeding I/O performanceProcessing Amazon S3 objects at scale with AWS Step Functions Distributed Map S3 prefixWhat's the difference between AWS ParallelCluster and AWS Parallel Computing Service?France Télévisions prepared for 2024 Olympic Games with AWS Countdown PremiumAmazon Kinesis Data Streams now supports 10x larger record sizesAmazon DocumentDB (with MongoDB compatibility) announces upgraded query planner that can run queries up to 10x fasterAnnouncing AWS X-Ray SDKs/Daemon End-of-Support and OpenTelemetry MigrationAmazon S3 adds conditional write functionality to copy operationsIntroducing the Capacity Reservation Topology API for AI, ML, and HPC instance typesHow to deploy a SQL Server Failover Cluster Instance across three Availability Zones using Storage Spaces Direct Reduce CAPTCHAs for AI agents browsing the web with Web Bot Auth (Preview) in Amazon Bedrock AgentCore BrowserUsing Kubernetes Labels to Split and Track Application Costs on Amazon EKSIntroducing AWS Lambda event source mapping tools in the AWS Serverless MCP Server Split Cost Allocation Data for Amazon EKS supports Kubernetes labels
Khoảng 20 chuyến công du đến 20 nước trong vòng hơn một năm giữ chức tổng bí thư đảng Cộng Sản Việt Nam, ông Tô Lâm có lẽ là nhà lãnh đạo đảng công du nước ngoài nhiều nhất. Trong khuôn khổ những chuyến công du này, Việt Nam nâng cấp Đối tác Chiến lược Toàn diện với 6 nước, và Đối tác Chiến lược với 5 nước khác. Dưới thời ông Tô Lâm, Việt Nam đang “quốc tế hóa” vai trò của tổng bí thư. Khi đưa tin về chuyến công du Anh Quốc và Bắc Ireland của ông Tô Lâm, từ 28-30/10/2025, hãng tin Anh Reuters nhận định nhà lãnh đạo quyền lực nhất của Việt Nam, ông Tô Lâm, đã đóng vai trò trung tâm trong việc định hình chính sách đối ngoại kể từ khi trở thành tổng bí thư đảng Cộng Sản vào năm ngoái (2024), một nỗ lực trước đây do chủ tịch nước và thủ tướng dẫn đầu. Cho thế giới thấy nhà lãnh đạo thực sự ở Việt Nam Ngay sau khi chính thức được bầu làm tổng bí thư, tại buổi họp báo ngày 03/08/2024, ông Tô Lâm có bài phát biểu “khẳng định kế thừa và phát huy những thành quả cách mạng mà cố tổng bí thư Nguyễn Phú Trọng và các thế hệ lãnh đạo đi trước đã gây dựng”. Điểm này đang được ông Tô Lâm phát triển mạnh mẽ hơn, theo nhận định của giáo sư danh dự Carl Thayer, Đại học New South Wales : “Tổng bí thư Tô Lâm đang tận dụng sự lãnh đạo của mình để phát huy di sản của người tiền nhiệm Nguyễn Phú Trọng, người đã chính thức hóa vai trò của tổng bí thư trong quan hệ đối ngoại của Việt Nam. Tổng bí thư Trọng đã được lãnh đạo chính phủ Anh và Nhật Bản, hai nền dân chủ tự do, đón tiếp, và được tổng thống Barack Obama tiếp đón tại Nhà Trắng. Ông Trọng cũng đã tiếp đón tổng thống Joe Biden tại Hà Nội”. Theo thông lệ, chuyến công du nước ngoài đầu tiên của tân tổng bí thư đảng Cộng Sản Việt Nam là đến Lào, sau đó là Cam Bốt và Trung Quốc - nước láng giềng rộng lớn mà ngay vào thời kỳ đầu thành lập nước Việt Nam Dân chủ Cộng hòa, Việt Nam xác định rõ chính sách đối với Trung Quốc “là phải thân thiện”. Tiến sĩ Vũ Khang, học giả thỉnh giảng tại Đại học Boston, Mỹ, nhận định với RFI Tiếng Việt : “Việc Việt Nam quốc tế hóa vai trò của tổng bí thư thực ra không có gì là bất ngờ. Một trong những ưu tiên hàng đầu của Việt Nam là bảo vệ an ninh của thể chế, và một trong những cách đó là nâng cao vai trò của tổng bí thư trên trường quốc tế. Với các nước chung chí hướng như là Bắc Triều Tiên, Trung Quốc hay Lào thì đây cũng không phải là một sự thay đổi lớn do vai trò của quan hệ kênh Đảng từ lâu đã được khẳng định”. Đọc thêmViệt Nam : Tổng bí thư Tô Lâm thăm Bắc Triều Tiên, dự lễ 80 năm thành lập đảng Lao Động Tiếp theo là hàng loạt vòng công du cho đến cuối năm 2024. Ví dụ, tháng 09/2024, tổng bí thư Tô Lâm đến dự Hội nghị thượng đỉnh Tương Lai, Đại Hội Đồng Liên Hiệp Quốc và làm việc ở Hoa Kỳ. Sau đó, ông công du nước Cuba anh em. Đến đầu tháng 10, ông công du Mông Cổ, tiếp theo là Ireland và Pháp. Đến tháng 11 là Malaysia. Trong những chuyến công du này, Việt Nam nâng cấp quan hệ lên thành Đối tác Chiến lược Toàn Diện với ba nước Mông Cổ, Pháp, Malaysia. Các nước ASEAN mở đầu cho vòng công du năm 2025 của tổng bí thư Tô Lâm. Tháng 03, ông thăm Singapore, Indonesia, nâng cấp quan hệ lên mức cao nhất với hai nước. Với những hoạt động này, tổng bí thư “đang đảm nhiệm vai trò nhà ngoại giao cấp cao, thường là nhiệm vụ của chủ tịch nước hoặc thủ tướng”, theo ý kiến của giáo sư Zachary Abuza, Đại học Chiến tranh Quốc gia Hoa Kỳ ở Washington : “Bằng cách này, ông Lâm đã khẳng định rõ ràng rằng ông coi chức vụ quyền lực nhất của đảng Cộng sản Việt Nam là chức vụ có chức năng điều hành trong đảng-nhà nước, điều mà những người tiền nhiệm của ông, những người chỉ tập trung vào chính sách và hệ tư tưởng, chưa từng đảm nhiệm”. Trong tháng 05, ông thăm bốn nước thuộc Liên Xô cũ (Kazakhstan, Azerbaijan, Nga, Belarus), nhân chuyến công du theo lời mời dự Ngày Chiến thắng với lễ diễu binh trên Quảng trường Đỏ ở Matxcơva. Ba tháng sau ông thăm Hàn Quốc. Trong tháng 10/2025, ông Tô Lâm công du Bắc Triều Tiên dự lễ kỷ niệm 80 thành lập đảng Lao Động Triều Tiên, sau đó là vòng công du hai nước châu Âu Phần Lan và Bulgari, cuối cùng là Anh Quốc và Bắc Ireland, nâng cấp quan hệ đối tác chiến lược với Helsinki và đối tác chiến lược toàn diện với Luân Đôn. Có thể thấy ông Tô Lâm quảng bá mạnh hơn, cho quốc tế thấy rõ hơn hình ảnh và vai trò của tổng bí thư - nhà lãnh đạo trên thực tế của Việt Nam, theo nhận định của Giáo sư Carl Thayer ngày 28/09 : “Tổng bí thư Tô Lâm đã liên tiếp công du nước ngoài kể từ khi nắm quyền lãnh đạo đảng và đóng vai trò quan trọng trong việc ký kết bảy quan hệ đối tác chiến lược toàn diện mới (Úc, Pháp, Malaysia, New Zealand, Indonesia, Singapore và Thái Lan). Ông Tô Lâm đang chứng minh rằng vị thế tổng bí thư không chỉ quan trọng đối với các vấn đề đối nội mà còn cả đối ngoại”. Đọc thêmLãnh đạo Việt Nam Tô Lâm đi Mỹ dự Đại Hội Đồng Liên Hiệp Quốc Một yếu tố mới, được tiến sĩ Lê Hồng Hiệp nhận định trên trang Fulcrum ngày 02/07/2025, là vai trò của “Đệ nhất phu nhân” định nghĩa lại nền ngoại giao và chính trị Việt Nam. Bà Ngô Phương Ly, “đệ nhất phu nhân trên thực tế, đã mở đường cho việc tăng cường các nỗ lực ngoại giao của Việt Nam và làm dịu đi hình ảnh của chồng bà” : “Bà Phương Ly, phu nhân của tổng bí thư đảng Cộng Sản Việt Nam Tô Lâm, đang nhanh chóng nổi lên như một nhân vật mang lại sự thay đổi trong ngoại giao quốc tế của Việt Nam. Bà tháp tùng ông Tô Lâm trong hầu hết các chuyến thăm nước ngoài và tiếp đón các nhà lãnh đạo nước ngoài tại Việt Nam. Thông qua việc thường xuyên tham gia các hoạt động văn hóa và xã hội với các đối tác nước ngoài, bà đã nâng cao vị thế ngoại giao của Việt Nam và nâng cao hình ảnh của ông Tô Lâm trước công chúng, qua đó góp phần nâng cao vị thế chính trị của ông. Ví dụ, trong chuyến thăm Singapore của ông Tô Lâm vào tháng 03/2025, bà Phương Ly đã tham gia các cuộc thảo luận về các vấn đề văn hóa với bà Loo Tze Lui, phu nhân thủ tướng Singapore Lawrence Wong, và chứng kiến lễ ký kết Biên bản ghi nhớ giữa Học viện Âm nhạc Quốc gia Việt Nam và Nhạc viện Yong Siew Toh của Singapore. Gần đây hơn, trong chuyến thăm Việt Nam của tổng thống Pháp Emmanuel Macron tháng 05/2025, bà Phương Ly đã tháp tùng bà Brigitte Macron tham quan Bảo tàng Mỹ thuật Việt Nam và Văn Miếu Quốc Tử Giám, chia sẻ những hiểu biết sâu sắc về di sản văn hóa phong phú của Việt Nam với Đệ nhất phu nhân Pháp”. Đọc thêmQuảng bá hình ảnh Việt Nam qua những chuyến công du của lãnh đạo thế giới Vai trò của tổng bí thư trong “định hình chính sách đối ngoại” Ngoài việc khẳng định quyền lực lãnh đạo thực sự ở Việt Nam, những chuyến công du nước ngoài của ông Tô Lâm, với tần suất dày đặc hơn so với người tiền nhiệm, còn nằm trong định hướng Hội nhập quốc tế trong tình hình mới, được quy định trong Nghị quyết số 59 (ngày 24/01/2025) và được cổng thông tin Chính phủ nhấn mạnh ngày 16/09 là “quyết sách quan trọng, đánh dấu bước ngoặt lịch sử trong tiến trình hội nhập quốc tế của đất nước”. Một mặt, Nghị quyết đưa ra hướng dẫn củng cố mối quan hệ “hữu nghị truyền thống” lâu đời của Việt Nam với Nga, Cuba, Bắc Triều Tiên. Mặt khác, Nghị quyết cũng cho thấy Việt Nam đang chủ động hơn trong các vấn đề quốc tế. Giáo sư Carl Thayer, Đại học New South Wales, phân tích : Nghị quyết số 59 lưu ý rằng hội nhập quốc tế đòi hỏi “chủ động, tích cực và dũng cảm” để thúc đẩy các mạng lưới đối tác đã được thiết lập, tranh thủ các nguồn lực bên ngoài, củng cố lòng tin chính trị và giải quyết các thách thức khu vực và toàn cầu thông qua hợp tác hòa bình, tất cả đều trên cơ sở tôn trọng luật pháp quốc tế. Nghị quyết số 59 cũng củng cố một trong những mục tiêu quan trọng của hội nhập quốc tế - duy trì môi trường hòa bình và ổn định để Việt Nam có thể phát triển kinh tế. Ví dụ chuyến công du Bình Nhưỡng của tổng bí thư Tô Lâm cũng được coi là nhằm trong chiến lược “bảo vệ đất nước từ sớm và từ xa, trước khi đất nước lâm nguy” phù hợp với chủ trương của Nghị quyết số 59, theo nhận định của giáo sư Carl Thayer : “Nếu ông Tô Lâm đến thăm Bình Nhưỡng, ông có thể sẽ tìm hiểu xem Việt Nam có thể đóng vai trò ngoại giao và chính trị nào trong bất kỳ tiến trình hòa bình nào trên bán đảo Triều Tiên. Việt Nam có lợi ích thiết yếu trong việc duy trì ổn định trên bán đảo Triều Tiên. Bất kỳ sự suy giảm nào trong hiện trạng, dẫn đến đối đầu giữa Hoa Kỳ và Hàn Quốc với Bắc Triều Tiên, Trung Quốc và Nga, sẽ đẩy Việt Nam ra ngoài lề và gây khó khăn cho quan hệ với các cường quốc”. Đọc thêmTổng bí thư đảng Cộng Sản, chủ tịch nước Việt Nam Tô Lâm công du Mông Cổ, Ireland và Pháp Trong số 5 quan điểm chỉ đạo về hội nhập quốc tế, hội nhập quốc tế về quốc phòng, an ninh được coi là một trong những trụ cột và là “một nội dung rất quan trọng”, theo phát biểu ngày 16/09 của ông Lê Hoài Trung, lúc đó là quyền ngoại trưởng. Ngoài ra, Việt Nam “chuyển từ xin nhận, gia nhập, tham gia sang chủ động đóng góp và xây dựng, định hình và sẵn sàng đóng góp có trách nhiệm vào công việc chung của cộng động quốc tế”. Sự kiện Hà Nội đăng cai tổ chức Lễ mở ký Công ước Liên Hiệp Quốc về chống tội phạm mạng ngày 25/10/2025, được Việt Nam coi là “dấu mốc lịch sử không chỉ với cộng đồng quốc tế mà còn khẳng định vai trò vị thế của Việt Nam trên trường quốc tế”. Trang VnExpress đưa tin “các nước đánh giá cao vai trò lãnh đạo, dẫn dắt của Việt Nam thông qua sáng kiến đăng cai Lễ mở ký”. Nhân dịp này, tổng bí thư Tô Lâm đã tiếp tổng thư ký Liên Hiệp Quốc Antonio Guterres. Cho dù “hội nhập quốc tế là sự nghiệp của toàn dân” nhưng được thực hiện “dưới sự lãnh đạo tuyệt đối, trực tiếp và toàn diện của Đảng, sự quản lý thống nhất của Nhà nước”. Trong tiến trình này, tổng bí thư không chỉ còn muốn đứng đầu đảng, giữ vai trò về tư tưởng, mà là một nhà lãnh đạo cao nhất đất nước. Hình ảnh mới này đang được ông Tô Lâm làm cho các đối tác phương Tây quen dần, theo nhận định của tiến sĩ Vũ Khang, Đại học Boston : Đối với các đối tác phương Tây, Việt Nam đã đặt các đối tác phương Tây vào vị trí phải công nhận tính chính danh và sự ngang hàng của vị trí tổng bí thư với các vị trí nguyên thủ quốc gia qua các cuộc gặp cấp cao. Đây cũng là một di sản của cố tổng bí thư Nguyễn Phú Trọng khi ông đã thành công bắt Mỹ phải công nhận tổng bí thư là ngang hàng với chức tổng thống Mỹ, từ đó mở ra các nước phương Tây khác cũng chấp nhận theo. Điều này chứng tỏ đây là một chính sách đường dài chứ không phải ngắn hạn cho kỳ Đại hội Đảng sắp tới, và dù ai ở vị trí tổng bí thư đi chăng nữa thì cũng sẽ được kế thừa di sản này.
Time for another Sunday of NFL football betting for host Matt Perrault. New week and a new month as Matt tries to break out of the cold spell he has been under. Matt has 4 bets for you including a ML parlay that is a first on the Sunday episode of the Daily Juice podcast presented by Hard Rock Bet. See omnystudio.com/listener for privacy information.
00:00-15:00: CH's Joe Jr. and John Sereno and Earl Staring from Erie/Niagara Insurance join ML from Highmark Stadium ahead of Chiefs-Bills. The boys chat game storylines, chicken wing power rankings, Earl's connection to CH and more. Presented by CH Insurance. In your corner. Hosted by Simplecast, an AdsWizz company. See https://pcm.adswizz.com for information about our collection and use of personal data for advertising.
The JournalFeed podcast for the week of Oct 27-31, 2025.These are summaries from just 2 of the 5 articles we cover every week! For access to more, please visit JournalFeed.org for details about becoming a member.Monday's Spoon Feed:Early fluid resuscitation in sepsis shows a U-shaped relationship between fluid amount and mortality; 30 mL/kg within 3 hours improves survival, supporting current Surviving Sepsis Campaign guidance.Friday's Spoon Feed:Azelastine nasal spray used three times daily for 56 days significantly reduced PCR-confirmed SARS-CoV-2 infections versus placebo.
Bitcoin hit $116K before $3.45 billion in liquidations while stablecoins transferred a record $15.6 trillion with bots executing 70% of that volume. Host Tedd Huff, CEO of Voalyre, and BakerHostetler Partner Robert Musiala break down what happened in crypto this month and why it matters to your business now. The SEC issued two major no action letters creating roadmaps for DePIN networks and state bank custody while Treasury opened a 58 question comment period closing October 20th on Genius Act implementation. The Wolfsburg Group published global AML guidance requiring banks to know their customer's customer when serving stablecoin issuers as nine European banks formed a consortium to launch a MICA compliant Euro stablecoin by 2026. Market fragmentation accelerates as purpose built stablecoins target specific communities while USDT and USDC slip to 84% combined share despite growing absolute volumes. Security threats remain the biggest adoption risk even as regulatory clarity emerges. Learn the five moves compliance and product teams should make today: display fees before sends, segment use cases by ecosystem, publish clear redemption rules, run cross chain incident drills, and build a one page control map that speeds both sales cycles and audits. If you manage risk, product, or finance in payments or crypto, this episode gives you the regulatory context and practical steps to act without waiting for Congress.LINKSConfidential Informant:Robert A. Musiala Jr., LinkedIn: https://www.linkedin.com/in/robert-a-musiala-jr-esq-cfcs-b6534bb/Firm Profile: https://www.bakerlaw.com/professionals/robert-a-musiala-jr/The Blockchain Monitor: https://www.theblockchainmonitor.com/BakerHostetler: https://www.bakerlaw.com/Fintech ConfidentialYouTube: https://fintechconfidential.com/watchPodcast: https://fintechconfidential.com/listenNotifications: https://fintechconfidential.com/accessLinkedIn: https://www.linkedin.com/company/fintechconfidentialX: https://X.com/FTconfidentialInstagram: https://www.instagram.com/fintechconfidentialFacebook: https://www.facebook.com/fintechconfidentialSUPPORTERSDfns: Wallets as a service with API-first, multi-chain design secured with MPC; powers crypto payments across 50+ networks. Request demo: https://fintechconfidential.com/dfnsSkyflow: Zero-trust data privacy vaults as an API to collect, secure, and tokenize personal information while keeping compliance and usability. Learn more: https://skyflowsecure.comHawk AI: Real-time screening, ML monitoring, and dynamic customer risk ratings to strengthen fraud and financial-crime prevention. Sign up for demo: https://gethawkai.comABOUTConfidential Informant: Robert Musiala has worked in the crypto assets market since 2012. He has led major investigations, advised on compliance and product agreements across Web3 and NFTs, and co-leads BakerHostetler's Web3 and assets team. He also authors The Blockchain Monitor with weekly legal insights.BakerHostetler: A U.S. law firm advising clients from startups to Fortune 500 on blockchain-related matters, policy, compliance, and risk.Host: Tedd Huff is Founder & CEO of Voalyre and DD3 Media and hosts Fintech Confidential, bringing clear, practical conversations on how money moves.DD3 Media: A media creation, management, and production company delivering engaging fintech and Web3 content.Chapters00:00 Highlights01:17 Dfns - Wallets as a Service (sponsor)02:38 Kickoff03:48 Lightning Round: Bitcoin and majors05:15 Lightning Round: XRP, memecoins, staking pressure06:28 Layer1 - Layer2 top News07:29 Stable Coin Top News09:02 Regulatory Landscape11:38 Secuity Threats and Compliance19:12 Bots = ~70% of the $15.6T stable coin...
Sign up for Alex's first live cohort, about Hierarchical Model building!Get 25% off "Building AI Applications for Data Scientists and Software Engineers"Proudly sponsored by PyMC Labs, the Bayesian Consultancy. Book a call, or get in touch!Our theme music is « Good Bayesian », by Baba Brinkman (feat MC Lars and Mega Ran). Check out his awesome work!Visit our Patreon page to unlock exclusive Bayesian swag ;)Takeaways:Why GPs still matter: Gaussian Processes remain a go-to for function estimation, active learning, and experimental design – especially when calibrated uncertainty is non-negotiable.Scaling GP inference: Variational methods with inducing points (as in GPflow) make GPs practical on larger datasets without throwing away principled Bayes.MCMC in practice: Clever parameterizations and gradient-based samplers tighten mixing and efficiency; use MCMC when you need gold-standard posteriors.Bayesian deep learning, pragmatically: Stochastic-gradient training and approximate posteriors bring Bayesian ideas to neural networks at scale.Uncertainty that ships: Monte Carlo dropout and related tricks provide fast, usable uncertainty – even if they're approximations.Model complexity ≠ model quality: Understanding capacity, priors, and inductive bias is key to getting trustworthy predictions.Deep Gaussian Processes: Layered GPs offer flexibility for complex functions, with clear trade-offs in interpretability and compute.Generative models through a Bayesian lens: GANs and friends benefit from explicit priors and uncertainty – useful for safety and downstream decisions.Tooling that matters: Frameworks like GPflow lower the friction from idea to implementation, encouraging reproducible, well-tested modeling.Where we're headed: The future of ML is uncertainty-aware by default – integrating UQ tightly into optimization, design, and deployment.Chapters:08:44 Function Estimation and Bayesian Deep Learning10:41 Understanding Deep Gaussian Processes25:17 Choosing Between Deep GPs and Neural Networks32:01 Interpretability and Practical Tools for GPs43:52 Variational Methods in Gaussian Processes54:44 Deep Neural Networks and Bayesian Inference01:06:13 The Future of Bayesian Deep Learning01:12:28 Advice for Aspiring Researchers
Emily Glassberg Sands is the Head of Data & AI at Stripe where she leads the organization's efforts to build financial infrastructure for the internet & leverage AI to power Stripe's products. Stripe processes about $1.4 trillion in payments annually (~1.3% of global GDP), making it an exciting opportunity to apply AI & ML at scale. In this episode, Emily shares insights into how Stripe is using AI to solve complex problems like fraud detection, optimizing checkout experiences, & enabling new business models for AI companies. Emily also shares her economist perspective on market efficiency & how Stripe's focus on building economic infrastructure for AI is driving growth across the ecosystem. We discuss: Stripe's domain-specific foundation model and “payments embeddings” that run inline on the charge path to detect sophisticated card-testing at scale (improved detection rates at large users from ~59% to ~97%). The launch of the Agentic Commerce Protocol (ACP) with OpenAI, creating a shared standard for how businesses can expose products to AI agents which is used by Walmart and Sam's Club. How Stripe is helping AI companies manage new fraud vectors, such as free trial and refund abuse, and the importance of real-time, outcome-based billing The impact of AI on Stripe's internal operations, including the use of LLMs for code generation, merchant understanding, and internal tooling Why many AI companies are going global day-one how Stripe's Link network (200M+ consumers) concentrates AI demand. Whether we're in an AI bubble, why GDP hasn't reflected AI productivity gains yet, and how agentic commerce could expand consumption by removing time constraints for high-income consumers Emily's perspective on the changing social contract around AI, the importance of deep thinking, and the role of brand and design in AI-driven products — Where to find Emily Sands X: https://x.com/emilygsands LinkedIn: https://www.linkedin.com/in/egsands/ Where to find Shawn Wang X: https://x.com/swyx LinkedIn: https://www.linkedin.com/in/shawnswyxwang/ Where to find Alessio Fanelli X: https://x.com/FanaHOVA LinkedIn: https://www.linkedin.com/in/fanahova/ Where to find Latent Space X: https://x.com/latentspacepod Substack: https://www.latent.space/ Chapters 00:00:00 Introduction and Emily's Role at Stripe 00:09:55 AI Business Models and Fraud Challenges 00:13:49 Extending Radar for AI Economy 00:16:42 Payment Innovation: Token Billing and Stablecoins 00:23:09 Agentic Commerce Protocol Launch 00:29:40 Good Bots vs Bad Bots in AI 00:40:31 Designing the Agents Commerce Protocol 00:49:32 Internal AI Adoption at Stripe 01:04:53 Data Discovery and Text-to-SQL Challenges 01:21:00 AI Economy Analysis: Bubble or Boom?
What is Chapel? This week, Technology Now explores the programming language, Chapel. We ask what it is, how it was designed, and we explore why people would use it instead of some of the more established languages.This is Technology Now, a weekly show from Hewlett Packard Enterprise. Every week, hosts Michael Bird and Aubrey Lovell look at a story that's been making headlines, take a look at the technology behind it, and explain why it matters to organizations.About Brad Chamberlain:https://www.linkedin.com/in/brad-chamberlain-3ab358105 Sourceshttps://www.britannica.com/biography/Ada-Lovelacehttps://www.adalovelaceinstitute.org/about/https://cdn.britannica.com/31/172531-050-E009D42C/portion-Charles-Babbage-Analytical-Engine-death-mill-1871.jpghttps://commons.wikimedia.org/wiki/File:PunchedCardsAnalyticalEngine.jpghttps://www.mpg.de/female-pioneers-of-science/Ada-Lovelace
• Sending You A Mojo "For A Good Friend Finder!" • Dehydrated Black Ants Can Be Useful • The Long Silver Magic Rods • An Old Friend Healed With Hypnosis • I'm NOT Polly • Radio Callers: 2 Ladies In Waiting: Lady in Capetown Wants A Man To Call Her From England & A Woman In Alaska Is Waiting On A Man's Call From Around The Corner • Todays WINNER for a Free Reading With Venus, chosen weekly off ML • Private & On Air Reading Comments & Testimonials • Instagram: venus_andrecht Callers always get free On Air readings every live Dear Venus show Wednesdays at 2 pm PAC/5 pm EST. Call the show at (760) 456-7277. *Dear Venus Show every Weds at 2 pm PAC/5 pm EST. Call the live show at (760) 456-7277 For Live & Podcast info: inflowradio.com Please Visit godisalwayshappy.com for Radio & Private Reading & ML information Podcasts Sent to you If You're On My ML STUDIO
Archer's Global Head of Engineering reveals how they're using Amazon Bedrock to help enterprises avoid billions in regulatory fines by transforming complex compliance laws into actionable AI-powered workflows.Topics Include:James Griffith, VP Engineering at Archer, leads development for risk and compliance solutionsArcher helps enterprises navigate the complex world of regulatory compliance beyond outdated spreadsheetsSince 2009, banks alone have been fined $342 billion by regulators worldwideEven "deregulated" Texas added 1,100 new laws in just one legislative sessionRegulatory data exists online but is overwhelming—too much for humans to processArcher built an AI pipeline: ingesting regulations, extracting obligations, and generating compliance controlsAmazon Bedrock eliminated the need to build ML infrastructure or hire specialized teamsModel interchangeability let them switch between Claude and Llama with just clicksBuilt-in guardrails prevented users from misusing AI without custom security developmentFrom initial vision to working product took just six months using BedrockDifferent AI models deploy globally, adapting to each country's unique regulatory stanceEngineers experiment safely with AI using Bedrock, preparing the team for the futureParticipants:James Griffith – Global Head of Engineering, ArcherSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/
The current largest challenge in ML-based malware detection is maintaining high detection rates while samples evolve, causing classifiers to drift. What is the best way to solve this problem? In this talk, Dr. Botacin presents two views on the problem: the scientific and the engineering. In the first part of the talk, Dr. Botacin discusses how to make ML-based drift detectors explainable. The talk discusses how one can split the classifier knowledge into two: (1) the knowledge about the frontier between Malware (M) and Goodware (G); and (2) the knowledge about the concept of the (M and G) classes, to understand whether the concept or the classification frontier changed. The second part of the talk discusses how the experimental conditions in which the drift handling approaches are developed often mismatch the real deployment settings, causing the solutions to fail to achieve the desired results. Dr Botacin points out ideal assumptions that do not hold in reality, such as: (1) the amount of drifted data a system can handle, and (2) the immediate availability of oracle data for drift detection, when in practice, a scenario of label delays is much more frequent. The talk demonstrates a solution for these problems via a 5K+ experiment, which illustrates (1) how to explain every drift point in a malware detection pipeline and (2) how an explainable drift detector also makes online retraining to achieve higher detection rates and requires fewer retraining points than traditional approaches. About the speaker: Dr. Botacin is a Computer Science Assistant Professor at Texas A&M University (TAMU, USA) since 2022. Ph.D. in Computer Science (UFPR, Brazil), Master's in Computer Science and Computer Engineering (UNICAMP, Brazil). Malware Analyst since 2012. Specialist in AV engines and Sandbox Development. Dr. Botacin published research papers at major academic conferences and journals. Dr. Botacin also presented his work at major industry and hacking conferences, such as HackInTheBox and Hou.Sec.Con.Page: https://marcusbotacin.github.io/
Shawn is back talking about a 9th grade rager while ML and Marc are grateful Erika's ears aren't exposed to […]
Learn how DataStax transformed customer feedback into a hybrid search solution that powers Fortune 500 companies through their partnership with AWS.Topics Include:AWS and DataStax discuss how quality data powers AI workloads and applications.DataStax built on Apache Cassandra powers Starbucks, Netflix, and Uber at scale.Their TIL app collects outside-in customer feedback to drive product development decisions.Hybrid search and BM25 kept trending in customer requests for several months.Customers wanted to go beyond pure vector search, not specifically BM25 itself.Research showed hybrid search improves accuracy up to 40% over single methods.ML-based re-rankers substantially outperform score-based ones despite added latency and cost.DataStax repositioned their product as a knowledge layer above the data layer.Developer-first design prioritizes simple interfaces and eliminates manual data modeling headaches.Hybrid search API uses simple dollar-sign parameters and integrates with Langflow automatically.AWS PrivateLink ensures security while Graviton processors boost efficiency and tenant density.Graviton reduced total platform operating costs by 20-30% with higher throughput.Participants:Alejandro Cantarero – Field CTO, AI, DataStaxRuskin Dantra - Senior ISV Solution Architect, AWS, Amazon Web ServicesSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/
In this talk, Hugo Bowne-Anderson, an independent data and AI consultant, educator, and host of the podcasts Vanishing Gradients and High Signal, shares his journey from academic research and curriculum design at DataCamp to advising teams at Netflix, Meta, and the US Air Force. Together, we explore how to build reliable, production-ready AI systems—from prompt evaluation and dataset design to embedding agents into everyday workflows.You'll learn about: How to structure teams and incentives for successful AI adoptionPractical prompting techniques for accurate timestamp and data generationBuilding and maintaining evaluation sets to avoid “prompt overfitting”- Cost-effective methods for LLM evaluation and monitoringTools and frameworks for debugging and observing AI behavior (Logfire, Braintrust, Phoenix Arise)The evolution of AI agents—from simple RAG systems to proactive, embedded assistantsHow to escape “proof of concept purgatory” and prioritize AI projects that drive business valueStep-by-step guidance for building reliable, evaluable AI agentsThis session is ideal for AI engineers, data scientists, ML product managers, and startup founders looking to move beyond experimentation into robust, scalable AI systems. Whether you're optimizing RAG pipelines, evaluating prompts, or embedding AI into products, this talk offers actionable frameworks to guide you from concept to production.LINKSEscaping POC Purgatory: Evaluation-Driven Development for AI Systems - https://www.oreilly.com/radar/escaping-poc-purgatory-evaluation-driven-development-for-ai-systems/Stop Building AI Agents - https://www.decodingai.com/p/stop-building-ai-agentsHow to Evaluate LLM Apps Before You Launch - https://www.youtube.com/watch?si=90fXJJQThSwGCaYv&v=TTr7zPLoTJI&feature=youtu.beMy Vanishing Gradients Substack - https://hugobowne.substack.com/Building LLM Applications for Data Scientists and Software Engineers https://maven.com/hugo-stefan/building-ai-apps-ds-and-swe-from-first-principles?promoCode=datatalksclubTIMECODES:00:00 Introduction and Expertise04:04 Transition to Freelance Consulting and Advising08:49 Restructuring Teams and Incentivizing AI Adoption12:22 Improving Prompting for Timestamp Generation17:38 Evaluation Sets and Failure Analysis for Reliable Software23:00 Evaluating Prompts: The Cost and Size of Gold Test Sets27:38 Software Tools for Evaluation and Monitoring33:14 Evolution of AI Tools: Proactivity and Embedded Agents40:12 The Future of AI is Not Just Chat44:38 Avoiding Proof of Concept Purgatory: Prioritizing RAG for Business Value50:19 RAG vs. Agents: Complexity and Power Trade-Offs56:21 Recommended Steps for Building Agents59:57 Defining Memory in Multi-Turn ConversationsConnect with HugoTwitter - https://x.com/hugobowneLinkedin - https://www.linkedin.com/in/hugo-bowne-anderson-045939a5/Github - https://github.com/hugobowneWebsite - https://hugobowne.github.io/Connect with DataTalks.Club:Join the community - https://datatalks.club/slack.htmlSubscribe to our Google calendar to have all our events in your calendar - https://calendar.google.com/calendar/r?cid=ZjhxaWRqbnEwamhzY3A4ODA5azFlZ2hzNjBAZ3JvdXAuY2FsZW5kYXIuZ29vZ2xlLmNvbQCheck other upcoming events - https://lu.ma/dtc-eventsGitHub: https://github.com/DataTalksClub- LinkedIn - https://www.linkedin.com/company/datatalks-club/ Twitter - https://twitter.com/DataTalksClub - Website - https://datatalks.club/
What is Chat HPE? This week, Technology Now dives into the world of workplace assistants and examines what must be considered when designing them. We explore why businesses want them, how they are created, and ask how good Chat HPE could be when designing a podcast... Jose M Mejias, a Distinguished Technologist working in the Data Office tells us more.This is Technology Now, a weekly show from Hewlett Packard Enterprise. Every week, hosts Michael Bird and Aubrey Lovell look at a story that's been making headlines, take a look at the technology behind it, and explain why it matters to organizations.About Jose: https://pr.linkedin.com/in/jose-mejias-1233b323Sources:Joseph Weizenbaum. 1966. ELIZA—a computer program for the study of natural language communication between man and machine. Commun. ACM 9, 1 (Jan. 1966), 36–45. https://doi.org/10.1145/365153.365168https://www.ibm.com/think/insights/eliza-effect-avoiding-emotional-attachment-to-aihttps://www.theguardian.com/technology/2023/jul/25/joseph-weizenbaum-inventor-eliza-chatbot-turned-against-artificial-intelligence-ai
Cancer prevention starts with the diet. Depending on what you eat, you're either starving cancer or feeding it! Discover the best cancer prevention diet and my expert tips to prevent cancer and support the immune system. Download this FREE guide for the 5 diet strategies for cancer care: https://drbrg.co/4om43oQ0:00 Introduction: The best cancer prevention diet 1:26 Cancer explained2:39 Cancer and your immune system3:30 Starving cancer5:45 Cancer prevention tips 6:39 The best cancer diet11:13 Healthy eating for cancer prevention12:36 Starving cancer with fasting13:27 More cancer prevention tipsTrillions of dollars are spent on cancer research, yet the mortality rates haven't changed in decades. Cancer is a heterogeneous disease, which means there are many different types. Understanding how cancer works is key to cancer prevention. Cancer tends to spread to areas of inflammation and to regions in the body where oxygen is scarce.Cancer is constantly evading your immune system! Vitamin D is essential for the health and proper functioning of your immune system. Cancer cells tend to block the receptors for vitamin D to combat this. It's beneficial to increase your vitamin D levels to penetrate the resistance created by cancer.Understanding which fuel a specific cancer uses is key to starving cancer. The majority of cancers utilize glucose and glutamine as their primary sources of fuel. Some cancers live on lipids and BCAAs, and some can even live on ketones! Cancer is highly adaptive, so effective cancer prevention requires multiple strategies, including diet rotation and intermittent fasting.Different types of cancer require the removal of different foods from the diet. Rotating the diet and removing the fuel that a specific type of cancer needs to survive prevents cancer from growing and taking over. Healthy Keto paired with intermittent fasting is the best diet for cancer prevention. Prolonged fasting is one of the best things you can do if you have cancer. Although some cancers can survive on ketones, ketones from fasting do not feed cancer cells. To prevent cancer and support the immune system, keep your blood levels of vitamin D at around 90-100 ng/mL. Incorporate regular exercise and prioritize both intermittent and prolonged fasting.Dr. Eric Berg DC Bio:Dr. Berg, age 60, is a chiropractor who specializes in Healthy Ketosis & Intermittent Fasting. He is the Director of Dr. Berg Nutritionals and author of the best-selling book The Healthy Keto Plan. He no longer practices, but focuses on health education through social media.Disclaimer: Dr. Eric Berg received his Doctor of Chiropractic degree from Palmer College of Chiropractic in 1988. His use of “doctor” or “Dr.” in relation to himself solely refers to that degree. Dr. Berg is a licensed chiropractor in Virginia, California, and Louisiana, but he no longer practices chiropractic in any state and does not see patients, so he can focus on educating people as a full-time activity, yet he maintains an active license. This video is for general informational purposes only. It should not be used to self-diagnose, and it is not a substitute for a medical exam, cure, treatment, diagnosis, prescription, or recommendation. It does not create a doctor-patient relationship between Dr. Berg and you. You should not make any change in your health regimen or diet before first consulting a physician and obtaining a medical exam, diagnosis, and recommendation. Always seek the advice of a physician or other qualified health provider with any questions you may have regarding a medical condition.
00:00-15:00: ML breaks down SU's loss to Pitt. The season is cooked because the Orange cannot move the football. Thanks to Batavia Downs Gaming and Stanley Law Offices. Hosted by Simplecast, an AdsWizz company. See https://pcm.adswizz.com for information about our collection and use of personal data for advertising.
00:00-15:00: ML breaks down the bye week Ravens and just how brutal it has been. Thanks to CH Insurance, Rosie's Corner and Batavia Downs Gaming. Hosted by Simplecast, an AdsWizz company. See https://pcm.adswizz.com for information about our collection and use of personal data for advertising.
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