Podcasts about ML

Jeff Huber is the CEO of ​Chroma, working on context engineering and building reliable retrieval infrastructure for AI systems. Context Engineering, Context Rot, & Agentic Search with the CEO of Chroma, Jeff Huber // MLOps Podcast #348.Join the Community: https://go.mlops.community/YTJoinInGet the newsletter: https://go.mlops.community/YTNewsletter// AbstractJeff Huber drops some hard truths about “context rot” — the slow decay of AI memory that's quietly breaking your favorite models. From retrieval chaos to the hidden limits of context windows, he and Demetrios Brinkmann unpack why most AI systems forget what matters and how Chroma is rethinking the entire retrieval stack. It's a bold look at whether smarter AI means cleaner context — or just better ways to hide the mess.// BioJeff Huber is the CEO and cofounder of Chroma. Chroma has raised $20M from top investors in Silicon Valley and builds modern search infrastructure for AI.// Related LinksWebsite: https://www.trychroma.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: /jeffchuber/Timestamps:[00:00] AI intelligence context clarity[00:37] Context rot explanation[03:02] Benchmarking context windows[05:09] Breaking down search eras[10:50] Agent task memory issues[17:21] Semantic search limitations[22:54] Context hygiene in AI[30:15] Chroma on-device functionality[38:23] Vision for precision systems[43:07] ML model deployment challenges[44:17] Wrap up

Welcome to the CanadianSME Small Business Podcast, hosted by Maheen Bari. In this episode of AI for SMBs, we explore how Artificial Intelligence and emerging technologies are redefining the future of work, innovation, and productivity for small and medium-sized businesses.Joining us is Furqan Aziz, CEO of InvoZone, a global technology consulting and software development firm with a team of over 500 professionals. Furqan shares his entrepreneurial journey, leadership insights, and how AI, blockchain, and Web 3.0 are driving transformation, enabling businesses to scale with smarter, data-driven solutions.Key Highlights:Entrepreneurial Lessons: How Furqan built a global tech firm through innovation and a supportive culture. AI & Emerging Tech: How technologies like AI, ML, and blockchain are reshaping industries. Digital Branding: Actionable strategies for small businesses to scale their brand on limited budgets. Bridging Gaps with Tech: How AI workflows make enterprise-level tools accessible for SMBs. Future Vision: Furqan's advice for tech entrepreneurs and his vision for InvoZone's global growth.Special Thanks to Our Partners:RBC: https://www.rbcroyalbank.com/dms/business/accounts/beyond-banking/index.htmlUPS: https://solutions.ups.com/ca-beunstoppable.html?WT.mc_id=BUSMEWAGoogle: https://www.google.ca/A1 Global College: https://a1globalcollege.ca/ADP Canada: https://www.adp.ca/en.aspxFor more expert insights, visit www.canadiansme.ca and subscribe to the CanadianSME Small Business Magazine. Stay innovative, stay informed, and thrive in the digital age!Disclaimer: The information shared in this podcast is for general informational purposes only and should not be considered as direct financial or business advice. Always consult with a qualified professional for advice specific to your situation.

00:00-15:00: ML and Joe Jr. are joined by Syracuse head men's basketball coach Adrian Autry to chat about the team's 4-0 start, getting J.J. Starling back, preparing for games at different times, the gauntlet ahead, Kiyan Anthony fitting right in and more. Sponsored 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.

20201 Vital Plan & Coffee for Heart Health Podcast | Dare To Be Vital BookFIVE PRIMARY POINTS of the PODCAST1. Vitamin D Dramatically Reduces Heart Attack RiskNew American Heart Association data shows that maintaining vitamin D levels >40 ng/mL for ~4 years cuts recurrent heart attack risk by 52%. Most participants required 5,000 IU/day—far above the current FDA recommendation—to reach optimal levels, making vitamin D testing and personalized supplementation a critical and cost-effective intervention.2. Structured Exercise Improves Cancer SurvivalA large randomized trial in colorectal cancer patients found 90% survival with structured exercise vs. 83% with health education alone (a 42% relative reduction in mortality). Supervised and behaviorally supported exercise—not just information—is required to produce this survival advantage.3. Exercise Should Be Prescribed as Medicine for Cancer PatientsThe transcript highlights mechanisms—myokines, reduced inflammation, better fitness, and increased natural killer cell activity—that explain why exercise reduces cancer mortality. Recommendation: oncologists should prescribe personalized strength and fitness programs as part of cancer care.4. Exercise Is One of the Most Powerful Sleep OptimizersA study of 380 medical students showed:* Low physical activity = poor sleep quality* Being overweight or stressed worsens sleep* Strength training is the most effective exercise modality for improving sleep.The message: Use movement—especially strength training—to break the “doom loop” of poor sleep and inactivity.5. Vitality Is a Skill: Small Daily Choices CompoundThe episode reinforces two overarching themes:* Vitality is a skill you can learn, practice, and improve.* Vitality powers performance—especially through the synergy of exercise, sleep, vitamin D, strength, and connection.The weekly action: Get your vitamin D level checked and optimize it with guidance from your doctor.Copyright VyVerse LLC, All Rights Reserved This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit vitalityexplorers.substack.com/subscribe

Dva týdny jsou pryč, viděli jsme spoustu filmů, takže se pomalu začněte připravovat na MovieZone Live s pořadovým číslem 265. V něm si probereme nového Běžícího muže, Frankensteina od Guillerma del Tora, druhou Čarodějku, akční komedii s Alanem Ritchsonem Jdeme si hrát, Mlátičku s Dwaynem Johnsonem, dvojku Sisu a spoustu dalších věcí. A samozřejmě budeme odpovídat i na vaše dotazy. MZ Universe:  Web: https://www.moviezone.cz FB: https://www.facebook.com/moviezonecz IG: https://www.instagram.com/moviezonecz Herohero: https://herohero.co/moviezonelive CSFD: https://www.csfd.cz/film/303130-moviezone-live/prehled/ Merch: https://www.blu-shop.cz/moviezone-merch/ Kniha Legendy akčního filmu: https://www.albatrosmedia.cz/tituly/84266791/legendy-akcniho-filmu/ Kniha Encyklopedie sci-fi filmu: https://www.albatrosmedia.cz/tituly/92065999/encyklopedie-sci-fi-filmu/

00:00-35:00: ML recaps Monmouth-Syracuse. Then a crossover show with ML on Fox Sports Radio with Levack and Goz. Goz and ML chat Bonnies-Siena and the future of the programs, Yanks offseason and more. Sponsored by Byrne Dairy and RV Source of CNY. Hosted by Simplecast, an AdsWizz company. See https://pcm.adswizz.com for information about our collection and use of personal data for advertising.

Amazon GuardDuty has become a critical line of defense for securing AWS environments. In this episode, we break down how GuardDuty uses machine learning, log analysis, and threat intelligence to uncover suspicious activities in real time. Whether you're managing EC2, EKS, S3, or RDS workloads, understanding GuardDuty's capabilities is essential for modern cloud security.

In this episode, Galit sits down with creator and educator Jason Pickett for a real conversation about the shifts happening in today's dance world. Jason shares his path from Utah's freestyle community to building a career outside the traditional LA route, and the mindset behind choosing what actually feels right. They dig into the responsibilities of teachers and influencers online, the short-sightedness that's causing dance studios and conventions business, and a shift in what dancers want to do professionally. Jason and Galit also explore whether competitions are watering down dance, how COVID changed the mentality of young dancers, and why the best teachers don't rely on the “combo.” This episode pulls back the curtain on connecting the generations, talent development, and what it really means to create good dancers - not just good perfectionists. Follow Galit: Instagram - https://www.instagram.com/gogalit Website - https://www.gogalit.com/ On-Demand Fitness Courses - https://galit-s-school-0397.thinkific.com/collections Follow Jason Pickett: Instagram - https://www.instagram.com/heyitspickett/ Jason's Website - https://nsadance.com/

You've been told your AMH is too low or that your egg quality isn't good enough, especially if you're over 40. But AMH doesn't define your fertility; it's a reflection of ovarian reserve, not your ability to conceive. In this episode, we explore how a functional fertility approach can help you uncover the real reasons AMH is low and how to support your eggs, hormones, and body so you can move forward with confidence whether naturally or with IVF. You'll Learn: What AMH really measures and why many women with low AMH still conceive once key systems are supported. The underlying causes that lower AMH: inflammation, gut health, blood-sugar imbalance, thyroid/adrenal dysfunction, and nutrient depletion. Which functional labs reveal what conventional testing often misses (GI-MAP, DUTCH, micronutrients). How to support egg quality after 40 through personalized nutrition, targeted supplements, toxin reduction, and nervous-system regulation. When IVF fits best and how preparing your body 3–6 months in advance can improve response, embryo quality, and implantation. Inspiring success stories, including Samantha (age 44, AMH 0.02 ng/mL), who conceived naturally after addressing gut infections, insulin resistance, and stress. This episode is especially for you if: You've been told your AMH is low and want to understand what that really means for your fertility. You're in your late 30s or 40s and want evidence-based ways to support egg quality naturally. You're unsure if IVF is the next step and want clarity before investing time, money, and hope. Sarah Clark is the founder of Fab Fertile Inc. and the host of Get Pregnant Naturally. Her team specializes in functional approaches for low AMH, high FSH, diminished ovarian reserve, premature ovarian insufficiency, recurrent miscarriage and helping couples prepare their bodies for pregnancy success naturally or with IVF. Next Steps in Your Fertility Journey Subscribe to Get Pregnant Naturally for evidence-based guidance on functional fertility, and share this episode with anyone on their fertility journey. Not sure where to start? Download our most popular guide:  Ultimate Guide to Getting Pregnant This Year If You Have Low AMH/High FSH it breaks everything down step by step to help you understand your options and take action For personalized support to improve pregnancy success, book a call here. --- TIMESTAMPS 00:00 – What Low AMH Really Means for Fertility → Understanding what anti-Müllerian hormone (AMH) actually measures, and why it doesn't define your pregnancy potential. 02:00 – Why Egg Quality Matters More Than Egg Quantity → How mitochondrial health, inflammation, and hormone balance shape egg potential even with low AMH. 03:30 – Inflammation, Stress, and the Type-A Fertility Pattern → The hidden link between hsCRP, stress, and fertility outcomes in high-achieving women over 40. 05:00 – Functional Team Approach: Beyond Hormones and IVF → How the Fab Fertile Method integrates thyroid, gut, and nervous system insights to improve ovarian reserve and egg health. 07:30 – Gut Health and Fertility Connection → What infections like H. pylori mean for nutrient absorption, estrogen balance, and ovarian function. 09:30 – Blood Sugar, Sleep, and Mood Clues to Hormonal Imbalance → Recognizing insulin resistance and blood-sugar swings as hidden drivers of poor egg quality and disrupted cycles. 11:00 – Foundational Fertility Supplements That Actually Matter → How CoQ10, magnesium, vitamin D3/K2, and methylated prenatals support mitochondria and hormone regulation. 12:00 – Samantha's Story: Natural Conception at 44 with AMH 0.02 ng/mL → A real client case showing how addressing gut, thyroid, and adrenal imbalances made conception possible after repeated loss. 15:00 – Functional Tests That Reveal Why AMH Is Low → The key labs: full thyroid panel, hsCRP, ferritin, insulin, GI-MAP, DUTCH, and nutrient testing to find what's missed in conventional care. 18:00 – Creating a Fertile Environment After 40 → Practical steps to support egg quality, anti-inflammatory diet, toxin reduction, nervous system regulation, and realistic IVF timing. --- RESOURCES

Review các phim ra rạp từ ngày 07/11/25QUỶ THA MA BẮT: THAI CHIÊU TÀI – T18Đạo diễn: Trần Nhân KiênDiễn viên: NS. Minh Ngọc, NS. Minh Phượng, Hồng Thanh, Tạ Lâm, Ngọc Tưởng, Thuỳ Dương…Thể loại: Bí ẩn, Kinh DịNhơn, một doanh nhân thành đạt nhờ thủ đoạn và mưu mẹo, tìm đến thứ tà thuật mang tên “Thai Chiêu Tài” để giữ lấy tài khí đã vô tình khơi dậy những ám ảnh từ quá khứ và sang chấn liên thế hệ.TRÁI TIM QUÈ QUẶT – T18Đạo diễn: Quốc CôngDiễn viên: Quách Ngọc Ngoan, Xuân Văn, Nhật Linh, Việt HưngThể loại: Kịch tính, Tâm LýMột vụ án mạng tàn bạo làm chấn động thị trấn yên bình. Khi thi thể người phụ nữ bị sát hại dã man được phát hiện, mọi nghi ngờ đổ dồn vào Sơn — có thể là người tình của nạn nhân. Triết, một nhà điêu khắc danh tiếng, rơi vào giằng xé giữa nghi ngờ và tình thân khi anh cùng vợ mình cố gắng tìm cách minh oan cho em trai. Rốt cuộc, Sơn là kẻ giết người, nạn nhân của định mệnh nghiệt ngã, hay một trái tim lạc lối bị cuốn vào tình yêu đến mức tự hủy diệt.QUÁI THÚ VÔ HÌNH: VÙNG ĐẤT CHẾT CHÓC – T16Đạo diễn: Dan TrachtenbergDiễn viên: Elle Fanning, Dimitrius Schuster-KoloamatangiThể loại: Hành Động, Phiêu LưuTrong tương lai, tại một hành tinh hẻo lánh, một Predator non nớt - kẻ bị chính tộc của mình ruồng bỏ - tìm thấy một đồng minh không ngờ tới là Thia và bắt đầu hành trình sinh tử nhằm truy tìm kẻ thù tối thượng. Bộ phim do Dan Trachtenberg - đạo diễn của Prey chỉ đạo và nằm trong chuỗi thương hiệu Quái Thú Vô Hình Predator.GODZILLA MINUS ONE – T13Đạo diễn: Takashi YamazakiDiễn viên: Ryûnosuke Kamiki, Minami Hamabe, Yuki Yamada,...Thể loại: Hành Động, Khoa Học Viễn Tưởng, Phiêu LưuNăm 1945, khi Thế chiến thứ Hai đang đi đến hồi kết, phi công Nhật Bản Koichi Shikishima bất ngờ chạm trán một quái vật biển đến từ cõi ngoài, mà người dân trên đảo Odo gọi là Godzilla. Bị giày vò bởi nỗi tội lỗi của kẻ sống sót — vì không thể bắn hạ con quái vật bằng súng gắn trên máy bay, và vì đã bỏ lại nhiệm vụ cảm tử của mình — Shikishima tìm được chút niềm an ủi mong manh bên Noriko, một người phụ nữ sống sót sau các đợt không kích Tokyo, và Akiko, một bé gái mồ côi. Năm tháng trôi qua, Shikishima dần mở lòng với Noriko và những người xung quanh. Nhưng bóng ma quá khứ — lần chạm trán năm xưa với Godzilla, nay đã biến đổi và nhiễm phóng xạ — lại một lần nữa trỗi dậy, khi toàn bộ nước Nhật chìm trong tuyệt vọng và kinh hoàng.TÌNH NGƯỜI DUYÊN MA 2025 – T13Đạo diễn: Choosak IamsookDiễn viên: Yada Narilya Gulmongkolpech, "Krist" Perawat Sangpotirat, Choosak Iamsook, Phetthai Vongkumlao,…Thể loại: Hài, Kinh Dị, Tình cảmLấy cảm hứng từ truyền thuyết dân gian Thái Lan về hồn ma Mae Nak.LỌ LEM CHƠI NGẢI – T18Đạo diễn: Hadrah Daeng RatuDiễn viên: Yunita Siregar, Dinda Kanyadewi, Thể loại: Kinh DịBộ phim xoay quanh Yuli - cô gái mồ côi phải sống như người hầu trong gia đình của Ambar và mang danh “tiểu tam”. Từ một người hiền lành và chân thành, Yuli dần biến thành kẻ độc ác và nuôi quyết tâm trả thù bằng cách tàn nhẫn nhất. Tìm đến thầy pháp để nhờ yểm bùa hắc ám nhằm huỷ hoại từng thành viên trong gia đình, Yuli bắt đầu thực hiện một nghi lễ ghê rợn: ghi tên những người bị nguyền rủa lên xác chết vừa qua đời. Khi lần lượt từng người bị hãm hại, Yuli cũng phải gấp rút hoàn tất giao kèo với quỷ dữ trong một tuần, nếu không sẽ phải gánh chịu hậu quả khủng khiếp.MỘ ĐOM ĐÓM (CHIẾU LẠI) - KĐạo diễn: Takahata IsaoDiễn viên: Tatsumi Tsutomu, Shiraishi Ayano, Thể loại: Hoạt HìnhGiữa khói lửa chiến tranh tàn khốc, hai anh em Seita và Setsuko mất đi gia đình, buộc phải nương tựa vào nhau để sinh tồn. Trong thế giới đang sụp đổ, họ vẫn cố giữ lấy những khoảnh khắc hồn nhiên cuối cùng như khi cùng nhau ngắm đom đóm bay trong đêm tối. Ánh sáng mong manh ấy vừa đẹp đẽ, vừa đau lòng như chính tuổi thơ ngắn ngủi của hai đứa trẻ giữa chiến tranh. ----------------------------------------------------#8saigon #reviewphimrap #thaichieutai #traitimquequat #quaithuvohinhvungdatchetchoc

link Трек-лист: 01. Otoboke Beaver — Don’t Light My Fire 02. ATB — Don't Stop 03. Coco Steel Lovebomb — Yachts (A Man Called Adam Mix) 04. Whitey — BRIEF AND BRIGHT 05. Jorney — Don't Stop Believin' 06. Děda Mládek Illegal Band — Jozin z bazin  07. KC & The Sunshine Band — I'm … Продолжить чтение Lofstrom loop 424

Rani Radhakrishnan is a Principal at PwC US, leading work on AI-managed services, autonomous agents, and data-driven transformation for enterprises.The Future of AI Operations: Insights from PwC AI Managed Services // MLOps Podcast #345 with Rani Radhakrishnan, Principal, Technology Managed Services - AI, Data Analytics and Insights at PwC US.Huge thanks to PwC for supporting this episode!Join the Community: https://go.mlops.community/YTJoinInGet the newsletter: https://go.mlops.community/YTNewsletter// AbstractIn today's data-driven IT landscape, managing ML lifecycles and operations is converging.On this podcast, we'll explore how end-to-end ML lifecycle practices extend to proactive, automation-driven IT operations.We'll discuss key MLOps concepts—CI/CD pipelines, feature stores, model monitoring—and how they power anomaly detection, event correlation, and automated remediation. // BioRani Radhakrishnan, a Principal at PwC, currently leads the AI Managed Services and Data & Insight teams in PwC US Technology Managed Services.Rani excels at transforming data into strategic insights, driving informed decision-making, and delivering innovative solutions. Her leadership is marked by a deep understanding of emerging technologies and a commitment to leveraging them for business growth.Rani's ability to align and deliver AI solutions with organizational outcomes has established her as a thought leader in the industry.Her passion for applying technology to solve tough business challenges and dedication to excellence continue to inspire her teams and help drive success for her clients in the rapidly evolving AI landscape. // Related LinksWebsite: pwc.com/us/aimanagedserviceshttps://www.pwc.com/us/en/tech-effect.html~~~~~~~~ ✌️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 Rani on LinkedIn: /rani-radhakrishnan-163615Timestamps:[00:00] Getting to Know Rani[01:54] Managed services[03:50] AI usage reflection[06:21] IT operations and MLOps[11:23] MLOps and agent deployment[14:35] Startup challenges in managed services[16:50] Lift vs practicality in ML[23:45] Scaling in production[27:13] Data labeling effectiveness[29:40] Sustainability considerations[37:00] Product engineer roles[40:21] Wrap up

Как из инженера по машинному обучению в VK вырасти до фаундера модного стартапа в Дубае и привлечь первые инвестиции? У нас в гостях — Надя Зуева, соосновательница AI-стартапа, который превращает онлайн-шопинг в персонального стилиста прямо в телефоне. Она рассказывает, как прошла путь от распознавания  речи до нейросетей, которые подбирают образы, и делится честными историями о жизни стартапера.В выпуске:

AI Daily News Rundown November 14 2025:Welcome to AI Unraveled, Your daily briefing on the real world business impact of AIIn today's daily AI News Rundown:

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.

In this episode of The Founder's Sandbox, host Brenda McCabe sits down with Chris Daden, CTO of Criteria Corp, to explore what it takes to scale purpose-driven businesses in the era of Work 4.0. Chris shares his fascinating origin story—starting with a childhood shaped by tech-savvy parents and leading to multiple exits, international teams, and leadership at a global talent success platform. He breaks down how Criteria uses science and AI to remove bias from hiring, why soft skills matter more than ever, and how to future-proof your workforce in an AI-augmented world. Learn about his nonprofit, SoCal Tech Forum, and why building trust is essential for AI adoption at scale. transcript: 00:18 Welcome back to the Founder's Sandbox. The Founder's Sandbox is in its fourth season. I'm here, your host, Brenda McCabe, and I'm live this month's podcast is 00:31 from the Founders Space in Pasadena. And I'm joined with my guest, Chris Daden of Criteria Corp. um And a colleague of mine in the startup ecosystem. Welcome, Chris. Thanks for having me. I'm really excited to be here. So am I. So um I want to briefly give some background on the Founder Sandbox for those that are listening in today. um 00:56 Each episode features in-depth conversations with founders of small and mid-sized owner-operated companies and operators that support the ecosystem. And together, through storytelling, we explore how to build scalable, resilient, purpose-driven businesses with great corporate governance. And you're going to discover today with Chris, his origin story. I always like to start with how the person 01:24 that's a guest to my podcast, really started getting involved with the ecosystem of startups. And your story is quite fascinating. I'm gonna give a spoiler alert here. You and I met, I guess two years ago, at a Thai con event where you were on a panel. I was the MC em and we got to talking over dinner and just your origin story and the multiple exits you've had. 01:53 really um lit up a bulb in my mind. said, Chris, you have to be in my podcast. So it's two years later, and I'm so glad that we're making this happen. Lucky to be here. Thank you. forward to it. So this podcast, again, we're going to talk about a lot of things because Chris, not only are the CTO of Criteria Corp, a talent success company, where you help organizations meet objective evidence-based 02:23 talent decisions that both reduce the bias and drive better outcomes. But also, you're a two times 40 under 40. You've had multiple exits of prior companies. You're a speaker, a founder, a board member, and recently you started your own nonprofit in SoCal called the SoCal Tech Forum. 02:51 Oh, and I forgot you're a member of the Forbes Technology Council. we're going to have... Couldn't have said it better. Thank you, Brenda. So with that, again, my episodes on particularly Spotify, we have a title that's on each episode and we've chosen Scaling Work 4.0 for this month's podcast. Again, it's Chris Daden, CTO of Criteria. So let's start. What would you... 03:21 Call your tagline. Tell us about your origin here in Southern California. Sounds great. Well, just a little bit about myself personally. I've been in tech for ah quite a while now. It's really the only career I've ever had working in tech. So I started in my youth, frankly. My father was a member of the British Merchant Navy. you can imagine with that career involved, he traveled all around the world. uh 03:50 Also, of course, gave me lot of inspiration for the global companies that I run today and the teams that I've started around the world. So although my father wasn't directly in computer science, you know, that career of being in the merchant Navy definitely shaped my global perspective. when he stopped working in the merchant ship Navy as an officer, he started developing his own software for weather routing for large 04:21 merchant ships and container ships. So what was amazing about that was it was ran out of a spare bedroom in my parents' house just upstairs while I was growing up there. And uh we used to even have a rack of kind of four by four Dell just desktop computers that were stacked on top of each other with a switch to switch between them. And we're running the workload that my dad made with the software there on those computers. 04:51 It was very visible and evident in my childhood. My first kind of internship was maybe when I was 13 or so ah in the closet of that office. We pulled the doors off and put a desk in it and that was like my internship desk for the summer. started with programming in the dotnet ecosystem. So what year is that more or less? Yeah, it's probably like 2005, 2006. uh 05:21 So it uh was a great introductory language. Fun fact, there's a YouTube video online of me when I'm about that age doing a tutorial of how to make a calculator. So very few people have found that. I'll leave it to the public to find. But you can hear my very young 12-year-old voice in a YouTube video. it's still there. So anyway, that's part of my origin story for sure. That's what got me into computer science. 05:48 My first company, started my senior year of high school. I was aqua hired into an organization in Irvine. And then I got to join what I would call kind of a real company at that time. um One that had, you know, engineers around the globe working on solving problems and SAS for organizations of all kinds. So that's kind of where I kick started my career. I'm spending the next maybe eight to 10 years in Orange County building companies and 06:16 Now I find myself as the CTO of Criteria, which of course I'm not a founder of, but the energy that I like to bring to the team and the passion I have for what the next era of work has to offer gives me that founder-like energy. Yes. So um how long have you been with Criteria? Were you the first CTO? Were you an aqua hire? Tell us a little bit about that. Yeah, great question. So Criteria has a great history, almost 20 years of science and 06:46 um just developing a great core platform that's been used by thousands of customers around the world. I've been there as CTO for the last three and a half years. So when I joined, was right after acquisition of a couple companies in Australia that were great additions to our product portfolio. And one of my roles right away after joining was to help integrate those teams, finish retiring some of the technical debt that comes with acquisitions. um 07:15 really just all the excitement around building for the next chapter of criteria and making sure that I can contribute in my many ways to our success. So back to that tagline that due to your father's um origins in the Navy, m you have a wide global perspective. Tell me about those teams that you had in India before Criteria. 07:41 Yeah, look, I started doing business in India a little over 10 years ago. I was just reflecting on that last week. I had the luxury of visiting my team again. We also just created a new team for criteria. So I was able to go visit them. We all got together for the first time. It was a lot of fun. But about 10 years ago, I started in a city named Indore and that's in the state Madhya Pradesh. And when I started, it was a tier three city. And, you know, I really stumbled across 08:09 who is now my general manager for my last company. I stumbled across meeting him through like a development agency and we really hit it off and you know at the time I was 18 years old and you know was willing to take some risk I guess because I wanted to work with an engineer and had to build my product and company and you know what it's like being a scrappy founder and I just rolled the dice and said sure like 08:34 Why don't you come work for me full time? Let's find your friends as well and let's start a company together. And his name is Vikram. And to this day, he's still the general manager of my last company in automotive SaaS that I had recently exited in like 2021 timeframe. He's still operating that team. Company's going great. So that's been a lot of fun to see that success. But yeah, over a period of 10 years, it's become... 09:00 from a tier three to a tier two city. So things like basic infrastructure have been developed. So just so much fun and so much reflection there. I'm lucky to have, know, that's my, Criteria's new team is now my fourth India venture. So this is my fourth generation. Oh my goodness. It's a scaling work 4.0. So let's go back to Criteria. again, over dinner a couple years ago, 09:29 You started talking about how the science of finding talent is really the bedrock of criteria. And you've been there three and a half years. Talk to us about that, the talent and the science that is driving this company's technology and being used today in hiring across the world. Yeah, I think. 09:58 Hiring is one of those things that we don't always teach hiring managers or people in organizations. I think we were laughing about that. If you're, say, a great senior software engineer and you've been coding for 15 years or something, I think it's assumed that when you get promoted into, say, an engineering manager role, you're now going to be a great hiring manager. And I think hiring science is something that is often... 10:22 underappreciated in organizations, particularly startups and mid-market companies who may not have the resources, right? Because to be good at hiring science, you also have to invest resources in it, right? So really you don't see most really advanced hiring science or like, you know, psychology teams being involved in hiring until the enterprise level. for criteria, we're all about using technology to harness as many what we call talent signals as possible. So we have a 10:52 an assortment of assessment tests that can measure things like your cognitive ability, your adaptiveness, your personality fit to a job role. And we do that in rigorous and scientific ways. I think there are probably more ways to do hiring wrong than to do it correctly. And we take a lot of pride in making sure that our products are always designed to measure those talent signals and even compound them. So as you find 11:19 multiple talent signals across the life cycle of that pre-employment hiring engagement, you get a compounding, really almost like a talent blueprint of the person you're looking to hire, or maybe even like the candidate DNA of that person. And it gives you a depth of information and data about the likelihood they are to succeed for that specific job role you're hiring. And that's really, really valuable to us. And we can talk a bit about why 11:46 that matters more as we enter into this new era of work. Before we go there though, I'm fascinated. What types of talent can Criteria be used for in the hiring process? Is it across all verticals? mean, tell me a bit about that. Criteria is a pretty diverse company. So with 4,000 customers around the world, we are really present in maybe 20 different verticals. So that makes us pretty... 12:15 pretty broad in who can use us for hiring. So, you know, we joke around anything from, you know, hiring for truck drivers all the way to rocket scientists. Like there's customers across the whole spectrum in engineering, venture capital, uh you know, executive management, truck drivers for uh companies, uh frontline workers, all the way up to rocket scientists at companies. 12:45 So recently you were a keynote speaker in London and you provided your closing thoughts on AI in the workforce. So I'm going to steal your thunder right now because you gave this to me and set it up. So work 4.0 belongs to those who pair adaptive mindsets with distinctively, yeah, human skills. Workplace. 13:14 AI will be our most tireless colleague, but the future's real competitive edge is still human potential, continuously renewed. Wow, unpack that for my listeners. Because we're all getting a bit nervous about will we have job security, what do we need to do to retool, and is everybody suitable? Yeah, I think what's kind of amazing is 13:44 um You look at some reports from the World Economic Forum or other entities and they're saying things like by 2030, 39 % of skills related to kind of the current candidate applying in the workforce will be obsolete. Wow, that's a lot. That's a lot. It's almost half, right? And what's amazing about that is then what are we hiring for, right? Because the last few decades of us 14:12 hiring has been so focused on how many years of experience did you have, what degrees do you hold. And it doesn't mean for many people who, right, college is the best fit, getting a degree is the best fit for many people. But ah I think what it highlights is there's more to being workforce ready than only getting these static credentials. And for people like me, I've dropped out of college twice. Both times I had some... 14:41 transactional event with one of my businesses. And that was obviously the right choice for me, right? And I've reflected on that and I feel good about where I'm at and where I came from. But I think workforce readiness these days is going to continue to index on the more dynamic talent signals and the more dynamic credentials we have as opposed to static credentials. So what that means is my ability to think on my feet, critical thinking, adaptive reasoning. 15:11 Those are all things that we kind of measure, if at all, we measure them kind of secondarily in our current process. And these other core talents like digital fluency, AI literacy, self leadership, resilience, those are all things that are more of these dynamic credentials that we need to make sure we measure really, really well, because the reality is with the advent of AI in the work 15:40 place, hard skills are more immediately attainable. And what I mean by that is maybe if I'm hiring for an accountant role, I care more about is that accountant a strategic thinker? Do they understand the tax code to the right depth? Do they understand the strategy for valuation of the business? And then of course they have to click some buttons in QuickBooks or NetSuite or other systems. But I think AI is going to... 16:09 augment the hard skills of our workforce. And that's going to make us more index on the softer skills, emotional intelligence, the adaptability, right? Those dynamic credentials as opposed to how many years have you been clicking buttons in QuickBooks? And it will require, I guess, more critical thinking, right? True. Right? Because you will be your... uh 16:36 day-to-day job will be augmented by AI, leaving you time to upskill or to make those critical decisions, more, I don't know, avenues of strategic development in the company. that's right. Yeah, redeploy to higher value opportunities for sure. think if 30 to 40 % of your day is... 17:04 tasks that can be augmented with AI, then that 30 to 40 % of your human first excellence can be redeployed to other parts of the business. an example is at Criteria, we serve uh tens of millions of assessments, um about 10 to 12 million per year. And we have about five or six million candidates that come through that process. 17:31 when they need technical support or help with the software, they often reach out to our live chatbot. we at Criteria um want to make sure we prioritize a five-star candidate experience. So even though candidates aren't the ones paying for the service, our customers are, we know that our customer satisfaction is tightly linked to how satisfied our candidates are. Got it. uh 17:54 One of the things we had was thousands and thousands of tickets every month from those five million plus candidates coming into our support system. And what we were able to do was augment our support staff with uh AI chat bots that are trained on deep knowledge bases of criteria and past candidate issues and technical troubleshooting. we were able to achieve about a 94 % candidate ticket deflection, which is really, really massive. And it didn't mean that we 18:24 know, laid off half of our support team or something, it means that, you know, those support team members moved into other high value roles in the organization or were able to now redirect their energy to making long lasting materials like help docs and guides that can then further retrain the AI to make that even better. So that's just an example of augmentation of skill and then redeploying that human excellence to another part of the business to help you grow. So it has criteria use the same time. 18:54 methodology for their staff? For our staff, every single person at Criteria goes through our assessment products, of course. We drink our own champagne. I had to ask that question. I'm a little biased, but I think I didn't know about the category before joining Criteria. And again, with my origin story, I've hired hundreds of people around the world. And I will never run another team without using 19:22 a criteria talent success platform to hire those people. So I'm a firm believer and because I didn't know about it before and now I'm using it, it's a big gap in my knowledge. So I would say most of our market potential for criteria doesn't actually know that these tools exist. A lot of them have a retention challenge or they're having an issue hiring the right people and people like me before I joined criteria don't actually know that this tool set is available. part of my mission is to... 19:51 make sure that startups and founders and mid-market companies are aware that this is available because it solves a big problem for us building the best teams. so uh last plug for Criterion, then we're going to move on in the interview here. uh How do um customers experience Criterion? How do they uh get onboarded? mean, what is it, the HR department? Where does, where's the origin? Yeah, really great. So 20:19 We call ourselves a talent success platform because we help people pre-hire with our assessments and video interviewing products. And that's normally the HR talent acquisition leader. So someone who's in charge of recruitment for a company or essentially all the pre-employment functions. And then because we have this rich data set that comes from those pre-employment activities, we have a post-hire product that we call Develop by Criteria. And Develop is designed to use all of that psychometric data 20:48 weekly check-ins with your employees, uh frameworks for behavior to help grow those team members after they're hired using all of that data and science. So a lot of our customers experience criteria on the pre-employment side and then continue to follow through on the post-employment side with our develop product. Wow. Is there patent protection with all of the science that you have developed over the years? I think there's obviously copyright. 21:17 um of our assessment tests. think patents and software are inherently tricky, but we feel really good about the protection of our IP. Excellent, excellent. So let's switch gears. um I met you at the TICON. um You haven't been our keynote speaker yet, but you have moderated panels, and I've seen you in other events. Tell us about what do you enjoy, what do you like to talk about when you're keynote speaker? 21:47 For me, it's just such an honor to share my learnings as an entrepreneur, as an executive with the world. I still am in this phase where when I give a keynote or moderate a panel, it doesn't really feel like a real thing. It just feels like another discussion for me. That's just kind of my style. I just think that the world stays connected by sharing information like that. And for me, 22:16 I'm lucky to be at the convergence of 20 years of Criteria's product, helping people make hiring decisions and this once in a lifetime emergence of generative AI intersecting with our workforce skills. So I talk a lot about that. Of course, I'm building my own teams to build the Criteria software and platform. 22:42 So I'm also thinking about what is next for my team, how do I upscale and enable? And then of course I'm talking to our thousands of customers on a regular basis trying to make sure that we are leaders in the industry. those are areas I really love talking about. I'm an engineer at heart as well. So I tend to be quite good at bridging kind of the commercial and business side with like core engineering. So I have a deep background in 23:11 AI and ML um even more traditionally prior to the generative AI boom and now even more so post generative AI boom. We're applying generative AI in ways that um we are on the frontier fine tuning models for our uh really predictive models at criteria. So those are all areas I love to talk about and it's really an honor to be able to share that with people no matter the forum. Well maybe there'll be a podcast episode two with Chris on this. 23:41 What about, you you love to share, I don't know where you find the time. You've recently started a nonprofit, the SoCal Tech Forum. So share with my audience the types of activities, where's the venue, who is gathered, and what made you start a nonprofit, right? Yeah, it's a great question. I didn't know I would be starting a nonprofit either, but that tends to be how these things go. 24:11 It's been just a journey. ah We started off as a meetup group. my goal for the meetup group was in the Inland Empire specifically here in Southern California, we don't have many tech meetups. I'm of course networked well in Orange County and Los Angeles. And I think that particularly with these technologies that are 24:35 in our day-to-day life, it's very important that we build community around information and knowledge sharing so we can all learn and get up to speed on AI. A lot of business owners are going through transitions with their workforce, with their team that just were never really imagined. for us, we started this meetup group in the Inland Empire because there was definitely a market gap in getting together. I started off 25:02 paying for and hosting the events, breakfast, etc. And we had so much good interest. had sponsors that decided to volunteer to support, starting with a company called Clutch Coffee and Rancho Cucamonga, who has a deep history of roasting coffee and brewing technology in Rancho. And uh we've since got some other great partners to support us. And in just a little under two years, we've... 25:30 surpassed 750 members in the group. uh that was the reason once we started getting sponsors involved that it made sense to have a 501c3 nonprofit formed. And we have a leadership board now, which I'm really proud of. And we host an event at least once every month on the first Saturday of every month. And they're always technology or technology adjacent topics. They always involve. 25:56 technical and non-technical folks, business owners, entrepreneurs, startups. yeah, it's been really fun. Again, an opportunity to funnel and give back to the community and teach people about disruptive technologies. Well, you heard it here on the Founder's Sandbox, the SoCal Tech Forum. It will be in the show notes, all right, how to um get involved and perhaps attend one of those Saturday meetings. um I wanted to give you an opportunity. 26:25 to provide how people can best contact you, either for speaking opportunities, a CTO of Criteria, the nonprofit. How is it best to contact you, Chris? Yeah, I'd love to hear from you. So you can contact me on LinkedIn. So linkedin.com slash in slash Chris Dayden. All one word. And you can learn more about me as a speaker or CTO of Criteria at chrissdayden.com. excellent. 26:56 have that in the show notes. All right, I want to bring you back to the Founders Sandbox, all right, which is the platform and the podcast. I really get excited about um this part of the podcast. um I work with my clients on resiliency, um scalability, and purpose-driven, right? All with great corporate governance. I always like to ask my guests what... 27:24 the meaning of each of those three words has for them. And each of my guests has a different oh interpretation. And it's just a lot of fun to listen to what I resiliency, what's resiliency for you? I think it's appropriate that I answer that in light of kind of work 4.0. So for me, when it comes to resiliency in work 4.0, um it's about the art of constantly reinventing yourself. 27:53 but in faster cycles. And I think what's really important to everyone is that in Work 4.0, hard skills can become obsolete quicker than before. And that reinvention is critical to really being resilient in this new market. How about scalable? You've scaled a couple of companies, you've been an aqua hire. What does scalable mean to you, Chris? In Work 4.0, scalable will mean 28:22 adequately augmenting the talent you have in humans in your organization with the ability to harness the true power of AI and to do that without losing culture or trust. I think many organizations think of the first half of that. Very few of the organizations can execute on human plus agentic AI and also maintain trust. 28:51 and without losing culture. Have you seen any best practices? This is a little bit off script in terms of companies that have, or are scaling, right? Because this is just scaling pretty quickly in the last year or so. Sure. And are there any best practices out there in building that trust? Yeah, I think having a real holistic AI strategy is key. 29:18 One main component of a holistic AI strategy is how can you get tools to the fingertips of every staff member in your organization so that it's embedded in their workflow? Because a lot of the top-down AI strategy from organizations, like a CEO says, you must use AI and we must be 25 % more efficient, is really shallow when it comes to strategy. And it very rarely results in a culture 29:48 sustaining in a company for this AI growth and augmentation. So what I've been really impressed by is, you know, when I host things like AI monthly global office hours at Criteria, or I host one-on-one sessions with employees to learn about how they're using AI, because you're able to push those tools down to your team members and let them use it in a safe and comfortable area, it allows you to see what people creatively do with AI. And most of the time, 30:17 I could say there's probably 60 or 70 % of use cases that I would never have expected my staff to use AI for, and I would have been the bottleneck of creating if they were waiting for me to do it, and instead give them a safe experimentation zone. And I think that is key to a sustaining AI strategy for So your best practice is actually a criteria from what I'm hearing here. And it's very becoming because I'd like to talk about playfulness in the sandbox, right? 30:46 I read recently, was an EY um study, I think it was this last week, that about 40 % of employees that are forced to use AI tools give up after a month. They don't see the utility in their day-to-day tasks they're doing. So there is something to what you just said, building trust, but building it from the bottom up, right? Yeah, I resonate with that for sure. And I think the only way people break that barrier 31:16 is by seeing their colleagues successful with it. Very rarely is a demo from an executive leader going to be, I mean, it might be enough to begin a culture of AI. Like I had to do a lot of demos and show people kind of the art of the possible. And then as soon as I saw pockets of AI intelligence in the organization, the quicker you can elevate those people to lead and present their findings, the faster... 31:45 you build up kind of the natural human competition between your team and everybody all of a sudden will get more behind it. And that's really important. I think you've reached a point of success in your AI strategy when you were once leading the AI learning sessions and now you are not. How cool is that? You heard it here in the founder sandbox. All right. Purpose driven. What's a purpose driven enterprise for you? I think that 32:12 This is timely based on our discussion just now where organizations need to harness AI at the right times. think purpose for criteria, for example, means how do we measure talent signals that are able to give us the best candidate blueprint or the best candidate DNA possible? And for us, 32:40 every single day, regardless of the technology, what fuels us is having that purpose-driven statement of collecting talent signals around the world for any team. And you really do get lost in that sometimes, for good and for worse, when you're just trying to collect as many talent signals as you can. And being purpose-driven means always doing the right thing when it comes to that. 33:09 mission statement that you've set. And for us, it's collecting talent signals. I think that AI can do that well in a lot of areas, but AI can also be very dangerous in those areas. So when it comes to Work 4.0, having that purpose-driven enterprise statement is very, very important because it anchors us for our new product development. It anchors us for how we're using new technology to help people make the best teams. 33:39 Going back to that, to build the trust, we might clip this out, um does criteria maintain a group of scientists to actually peel back the layers and make meaning out of the signals that you are capturing to create new signals? That's one question. The second is, does criteria have an ethicist on board? 34:08 on call or how do you ensure there is guardrails around talent signals? Yeah, those are really great questions. think for criteria, when we say we're rooted in science, it wouldn't mean very much if it was just a bunch of engineers and product managers kind of deciding what science is, right? So for us, we take a lot of pride in our product IO psychology team. So a lot of them are 34:37 industrial organizational psychologists by trade that are working full time for criteria. And their role is assessment development, assessment validation. uh And particularly in the light of fine tuning AI models, they are very, very hands on in creation of those models, validating those models. There's a lot of legislation we have to comply with, not only the normal data privacy stuff like GDPR and CCPA, but also 35:07 industry specific laws like the New York bias laws and others that help protect uh candidates as they are applying for roles. So that is very, very near and dear to our heart. And also we conduct adverse impact studies and we do case studies with customers to make sure that the product is uh behaving the way that they intended to behave. 35:32 You know, we've got norms for all of our assessments and we adjust those norms based on massive populations of data. So all of that is how we ensure scientific signal. This is amazing. Last question. Did you have fun in the Founder Sandbox today, Chris? I had a lot of fun in the Founder Sandbox. Really a pleasure. Thank you for having me. Thank you, Chris. So to my listeners, if you like this episode with the CTO of Criteria, Chris Daden. 36:02 Sign up for the monthly release for more podcasts where I have business owners, professional service providers, and corporate board directors who are all working to build with strong governance, resilience, scalable, and purpose-driven companies. Thank you. Signing off.

Secondary students from across Ireland have once again showcased their scientific curiosity through the 1,974 project entries received for the 2026 Stripe Young Scientist & Technology Exhibition (Stripe YSTE). From AI-driven health tools to the effects of Leaving Cert stress, Ireland's next generation of innovators are tackling the issues that matter most to them. The shifting focus of Stripe YSTE entries helps to illustrate the topics that are becoming more important to students. The number of projects related to AI and machine learning grew 75%, whilst sustainability and climate change entries increased 41%. Emerging themes-with lower entry numbers but strong growth-include robotics, which attracted double the number of entries (+100%), and renewable energy, which increased 50%. Conversely, projects focusing on social media fell by 16%, highlighting a possible shift in interest for students across Ireland. Dr. Tony Scott, co-founder of YSTE, said: "The level of intellect and curiosity displayed in this year's Stripe YSTE project entries has amazed us. Narrowing down the 1,974 entries to just 550 qualified projects was no small task, and we look forward to hearing more from the students about their projects at the exhibition in January." Eileen O'Mara, Chief Revenue Officer at Stripe, said: "It's brilliant to see students using science as a way to understand themselves, their communities and the world around them. What's exciting about this year's entries is the balance between deep scientific inquiry and social awareness. We can't wait to see hundreds of these ideas come to life in January, and I'd encourage everyone who wants to visit the exhibition to buy their ticket now." Health & well-being Health remains a top concern for students, with 27% of entries falling into this category. Within that: 13% explored mental health 10% examined the effects of stress, anxiety, or depression 6% investigated sleep Health and well-being projects incorporating technology increased significantly, up 40% compared to last year. Project applications include AI-driven mental health tools, wearable tech for health monitoring, apps for fitness and nutrition tracking, and studies into screen time and blue light exposure. Artificial Intelligence Artificial Intelligence (AI) and Machine Learning (ML) were standout themes this year, with a 75% increase in project submissions this year. These projects extend beyond the Technology category, with students applying AI and ML across biology, health, social science, and environmental studies. Students plan to use AI to diagnose health conditions, research the ways AI helps or hurts in business and educational settings, and even to predict global natural disasters. Multiple submissions also plan to pit human intelligence against AI to see which is superior. Sustainability Sustainability is also a growing area of focus for young scientists, with a 41% increase in projects addressing themes such as climate change, environmental protection, and sustainable living. Submissions investigate ways to decrease the average Irish person's carbon footprint, the effect of climate change on farmers, microplastics, and even using mathematics to prove why we need to take action against temperature increase. Culture, lifestyle & everyday curiosity Applying the scientific method to daily life, many students used their projects to investigate topics that resonate with teenagers in modern Ireland. This year's entries included: 41 projects on music 18 on the impact of Leaving Cert stress 15 exploring TikTok 11 investigating the effects of vaping 10 bring endometriosis into the conversation These entries highlight how young people are using science to question, measure, and reimagine their world, spanning health, habits, creativity and culture. Tickets for the Stripe YSTE 2026 are on sale now at www.stripeyste.com See more stories here. More about Irish Tech News Irish Tech News are Ireland's No. 1 Online Tech Publication a...

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.

At KubeCon 2025, the CNCF launched the Certified Kubernetes AI Conformance Program to standardize AI and ML workloads on Kubernetes, ensuring portability across hybrid and sovereign clouds and preventing platform lock-in. Supported by companies like Google, Microsoft, Oracle, Broadcom, and Red Hat, the initiative promotes interoperability, scalability, and efficient production deployment. Arm showcased its Neoverse platform alongside Google Cloud's Axion N4A VMs, enabling energy-efficient, scalable AI workloads, while partnerships with CNCF projects like Harbor, OPA, Kedify, and AuthZed help developers build secure, portable, and cost-effective cloud-native systems from edge to cloud. This and more on the Tech Field Day News Rundown recorded live at Commvault Shift with Tom Hollingsworth and Stephen Foskett. Time Stamps:0:00 - Welcome to the Tech Field Day News Rundown1:17 - VAST Data makes $1.17B Deal with CoreWeave4:42 - Spektrum Labs Uses Cryptography to Prove Cyber Resilience7:37 - HPE Drops Qumulo, Scality, and WEKA to Focus on Its Own Storage10:56 - Red Hat Unveils Major OpenShift 4.20 Updates for AI, Security, and Edge13:57 - AWS Builds Transatlantic Fastnet Cable to Boost Cloud and AI17:31 - Pentagon Expects Industry to Train AI, Not Pay for It20:34 - CNCF Standardizes AI Workloads on Kubernetes25:17 - Arm and CNCF Showcase Efficient Cloud-Native Systems at KubeCon 202529:26 - Thank You Commvault for Hosting Tech Field Day31:01 - The Weeks Ahead32:55 - Thanks for Watching the Tech Field Day News RundownFollow our hosts ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Tom Hollingsworth⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Alastair Cooke⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Stephen Foskett⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Follow Tech Field Day ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠on LinkedIn⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, on ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠X/Twitter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, on ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Bluesky⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, and on ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Mastodon⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.

AI Daily News Rundown November 12 2025:Welcome to AI Unraveled, Your daily briefing on the real world business impact of AI

AI Daily News Rundown November 13 2025:Welcome to AI Unraveled, Your daily briefing on the real world business impact of AIIn today's daily AI News Rundown:

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

In Episode 50, the season finale of Season 5 of Driven by Data: The Podcast, Kyle Winterbottom was joined by James Benford, Director General of Surveys, Economic and Social Statistics at Office for National Statistics, where they have a candid discussion regarding the turnaround job at hand after recent public scrutiny and high-profile errors.They dig into what went wrong, the impact on trust, and how new leadership is refocusing priorities, rebuilding quality, and resetting culture, plus more, which includes;How a turnaround mandate is reshaping ONS culture, leadership, and structure after the June review.Why transparent acknowledgment and correction of high-profile errors is central to rebuilding trust.How grand tech ambitions drift without clear use cases and why that must change.Why building a single data platform without a clear use case became a costly lesson in purpose-led design.How ruthless focus and prioritisation are creating space for excellence in core statistics.Why survey response rates are falling globally and how ONS is adapting to the new reality.How digital-first, user-centred survey design can lift completion and reduce bias.How alternative data sources add power and why third-party data quality and governance matter.Why multidisciplinary teams are non-negotiable.How recognising data and AI as economic assets will reshape national accounting.Why GenAI and ML can raise quality while saving time.How “Stats GPT” style access can make official statistics easier to find, query, and use.Find more information on the general reset underway at the ONS, and the detail on the statistics and the surveys discussed in this episode.If you wish to provide feedback on what ONS is currently doing, please use this mailbox:

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. 

Small businesses are owed over one trillion dollars in unpaid invoices. Host Tedd Huff the CEO of Voalyre a Fintech advisory firm and Founder of Fintech Confidential sits down with Prashant Fuloria, CEO of Fundbox, to discuss how embedded finance transforms working capital access for business owners managing teams of one or two while juggling payroll, invoicing, and growth decisions. Prashant left senior roles at Google, Facebook, and Yahoo to help solve this massive cash flow crisis affecting hundreds of thousands of entrepreneurs. This conversation covers how Fundbox embeds financing directly into platforms like QuickBooks and Stripe, eliminating lengthy applications and delivering instant capital when business owners need it most. Prashant explains why leadership culture drives sustainable growth, how daily team huddles prevent executive isolation, and why transparent partnerships built on trust outperform traditional direct marketing. The episode reveals practical strategies for scaling fintech platforms while serving underserved small businesses with flexible, responsible lending.1️⃣ Use continuous platform integrations that monitor business health in real time and automatically adjust credit offers as revenue grows.2️⃣ Remove lengthy forms by using existing platform data from accounting software or payment processors to complete underwriting instantly.3️⃣ Access immediate capital when trucks break down or equipment fails without waiting for traditional loan approval timelines.4️⃣ Structure financing to align with actual cash flow patterns rather than rigid monthly schedules that ignore seasonal business cycles.5️⃣ Embed financing into industry-specific software platforms to create a one-stop experience where owners never juggle multiple logins.Get more at Fintech Confidential.com GuestPrashant FuloriaLinkedIn: https://www.linkedin.com/in/prashant-fuloria/CompanyFundboxWebsite: https://fundbox.com/LinkedIn: https://www.linkedin.com/company/fundbox/X: https://x.com/FundboxYouTube: https://www.youtube.com/@FundboxcomFintech ConfidentialYoutube: https://youtube.com/@fintechconfidentialPodcast: https://fintechconfidential.com/listenNewsletter: https://fintechconfidential.com/accessLinkedIn: https://www.linkedin.com/company/fintechconfidentialX: https://x.com/FTconfidentialInstagram: https://www.instagram.com/fintechconfidentialFacebook: https://www.facebook.com/fintechconfidentialSupportersUnder: Streamlines application and underwriting with digital form processing. https://under.io/ftcSkyflow: Zero-trust data privacy vaults as an API to secure and tokenize personal information. https://skyflowsecure.comDfns: Wallets as a service secured with MPC; powers crypto payments across 50+ networks. https://fintechconfidential.com/dfnsHawk AI: Real-time screening and ML monitoring to strengthen fraud and financial-crime prevention. https://gethawkai.comAboutPrashant Fuloria is CEO of Fundbox, a product and technology leader with 25+ years of experience building platforms at Google, Facebook, and Yahoo. At Fundbox he has supported more than 500,000 SMBs and unlocked over $5 billion in working capital.Fundbox is an embedded working capital platform built for SMBs using accounting, payments, and vertical SaaS tools. By integrating with QuickBooks, FreshBooks, and other platforms, Fundbox provides fast, flexible credit using AI-powered underwriting and real-time data.Tedd Huff is Founder of Voalyre, a fintech advisory firm, and host of Fintech Confidential. Over 25+ years, he has contributed to

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.

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

In this episode of the @Endace, Packet Forensic Files, Michael Morris chats with Steve Fink, CTO and CISO of Secure Yeti and architect of the SOCs for Black Hat, RSA Conference, and Cisco Live, for an in-depth look at building effective Security Operations Centers (SOCs). With 26 years of cybersecurity experience, Fink shares strategies for leveraging packet data, integrating AI for automation, fostering vendor collaboration, and ensuring scalability and resilience. This expert-led discussion is a must-watch for cybersecurity professionals who want to learn how to optimize threat detection and avoid data swamps .ABOUT ENDACE *****************Endace (https://www.endace.com) is a world leader in high-performance packet capture solutions for cybersecurity, network and application performance. EndaceProbes are deployed on some of the world's largest, fastest and most critical networks. EndaceProbe models are available for on-premise, private cloud and public cloud deployments - delivering complete hybrid cloud visibility from a single pane-of-glass.Endace's open EndaceProbe Analytics appliances (https://www.endace.com/endaceprobe) can be deployed in on-premise locations and can also host third-party security and performance monitoring solutions while simultaneously recording a 100% accurate history of network activity.CHAPTERS01:24 Why is your nickname 'Fink' and not Steve?02:17 What foundational, architectural principles are essential when designing a next-gen SOC?05:43 How do you approach scalability & modularity in NOC/SOC design to accommodate future growth?08:57 How have you evolved to integrate cloud native technology or hybrid environments into your SOC and what were the challenges?12:04 What role does packet data and centralized logging play in your SOC design and how do you ensure efficient data ingestion and retrieval?14:45 How do you architect SOC to support real time threat detection and response across geographically distributed global infrastructures?17:55 What strategies do you use for disaster recovery?20:35 How do you incorporate AI, ML and automation capabilities into your SOC architecture to enhance threat hunting?23:02 What are your best practices for integrating third-party tools?

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.

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

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.

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

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Shawn is back talking about a 9th grade rager while ML and Marc are grateful Erika's ears aren't exposed to […]