Podcasts about ai ml

In this episode of Heal Yourself. Change Your Life®, Brandy Gillmore shares powerful mind-body healing insights from working with an incredible volunteer named Doris who was experiencing vision loss. The first pattern? A buried emotion from decades ago that she thought was resolved — but was still silently affecting her health, her relationships, and even her vision. It's a perfect example of how unresolved emotional patterns can create a real stress response in the body, even years later. The second? Something millions of people do every single day — and when Brandy brought it up, Doris's response made her laugh because she said, "I thought that doesn't count." It counts. And once you hear why, you'll never look at it the same way. This episode explores how hidden emotional patterns — including guilt, buried anger, and everyday emotional triggers — can block self-healing and keep the body stuck in a cycle of illness. Brandy breaks down why true healing requires more than positive thinking and what it actually takes to rewire the mind-body connection at a deeper level. If you've been doing the inner work but still feel stuck, this episode might show you exactly what's been hiding in plain sight.     → Continue Your Self-Healing Journey Listen to the Full Volunteer Self-Healing Session Click here to access today's self-healing session as Brandy Gillmore works directly with Doris Free Mind-Body Healing Training If you'd like a deeper understanding of mind-body healing and how self-healing works: Click here to join the FREE training. Brandy Gillmore's Mind-Body Healing: Scientific Research If you'd like scientific research on mind-body healing, you can view Brandy Gillmore's work published in a Medical Journal. Personal Empowerment and Self-Healing Courses If you're ready to heal yourself and change your life: Click here to explore our GIFT Mind-Body Healing™ and the GIFT Method™ Courses and GIFT Workshops.      Connect With Brandy Follow Brandy on Facebook Follow Brandy on Instagram Questions? Discover more at https://brandygillmore.com or email support@BrandyGillmore.com     Disclaimer, Safety & Protecting Our Work and Volunteers This content is provided for personal inspiration and self-healing support only. It is not medical advice and is not intended to diagnose, treat, prevent, or cure any condition. Do not change or discontinue any medical or mental health treatment without consulting your doctor(s). This content is for personal use only. In order to help protect our community, volunteers, and the integrity of the work, this content may not be recorded, copied, altered, redistributed, taught, impersonated, or used to create derivative works, including use with artificial intelligence (AI/ML) or similar technologies. By engaging with this content, you acknowledge and agree to these terms. (Click here to read the full disclaimer)

Welcome to The Chrisman Commentary, your go-to daily mortgage news podcast, where industry insights meet expert analysis. Hosted by Robbie Chrisman, this podcast delivers the latest updates on mortgage rates, capital markets, and the forces shaping the housing finance landscape. Whether you're a seasoned professional or just looking to stay informed, you'll get clear, concise breakdowns of market trends and economic shifts that impact the mortgage world.In today's episode, we dive into the ramifications of licensing AI as an originator. Plus, Robbie sits down with Optimal Blue's Erin Wester for a discussion on the extensive lineup of mortgage capital markets innovations unveiled at 2026 Optimal Blue Summit, including an industry-first AI/ML-powered forecasting tool. And we close by looking at what home prices are doing across the nation.This week's podcasts are sponsored by FirstClose. FirstClose Equity gets you to closings faster by empowering borrowers with vital property decisioning data. It is the only end-to-end digital HELOC & HEL solution built specifically for home equity.

Send a textIn this episode of the WTR Healthcare Happenings podcast, Tim Gerdeman, Vice Chair, Co-Founder, and CMO of Water Tower Research, and Robert Sassoon, WTR's Healthcare Research Analyst, speak with Rick Pierce, CEO of Decoy Therapeutics (NASDAQ: DCOY). The conversation explores Decoy's innovative business model for developing peptide‑conjugate antivirals designed to target multiple respiratory viruses. Pierce explains how Decoy is navigating the modern era of drug development with a cost‑effective, highly efficient strategy that positions the company as a disruptive force in biotech. Central to this approach is Decoy' proprietary peptide‑synthesis technology and rapid design‑build‑test cycle, powered by machine learning. He also underscores the importance of Decoy's strategic partnerships with the Gates Foundation, Google, and NVIDIA in advancing its platform and accelerating development.

She had read the book. She loved it. She even gave a copy to her doctor. She felt like she understood mind-body healing. But her pain was still there. In this episode of Heal Yourself. Change Your Life®, Brandy Gillmore shares powerful insights from working with Norma — a brilliant, strong woman in her eighties who had been living with what she called "just normal pain," something she believed she simply had to accept. Her neck pain began years ago after falling off a horse — and true to her nature, she got right back on. But here's what was remarkable: As Brandy worked with her, a hidden emotional trigger surfaced — someone close to her who had been "taking the mickey" for over 20 years — and her pain spiked to an 8. Then, as she genuinely shifted her emotional response, it dropped all the way down to a 1. In this episode, Brandy unpacks key takeaways, including: Why intellectual understanding isn't the same as emotional embodiment How subtle emotional patterns can quietly fuel chronic pain The difference between banter that connects and banter that wounds Why not taking something personally can create powerful shifts in your health This episode highlights the critical difference between knowing something… and truly shifting it. Here is a link to Brandy's book: Master Your Mind and Energy To Heal Your Body by Brandy Gillmore   → Continue Your Self-Healing Journey Listen to the Full Volunteer Self-Healing Session Click here to access today's self-healing session as Brandy Gillmore works directly with Kim Free Mind-Body Healing Training If you'd like a deeper understanding of mind-body healing and how self-healing works: Click here to join the FREE training. Brandy Gillmore's Mind-Body Healing: Scientific Research If you'd like scientific research on mind-body healing, you can view Brandy Gillmore's work published in a Medical Journal. Personal Empowerment and Self-Healing Courses If you're ready to heal yourself and change your life: Click here to explore our GIFT Mind-Body Healing™ and the GIFT Method™ Courses and GIFT Workshops.      Connect With Brandy Follow Brandy on Facebook Follow Brandy on Instagram Questions? Discover more at https://brandygillmore.com or email support@BrandyGillmore.com     Disclaimer, Safety & Protecting Our Work and Volunteers This content is provided for personal inspiration and self-healing support only. It is not medical advice and is not intended to diagnose, treat, prevent, or cure any condition. Do not change or discontinue any medical or mental health treatment without consulting your doctor(s). This content is for personal use only. In order to help protect our community, volunteers, and the integrity of the work, this content may not be recorded, copied, altered, redistributed, taught, impersonated, or used to create derivative works, including use with artificial intelligence (AI/ML) or similar technologies. By engaging with this content, you acknowledge and agree to these terms. (Click here to read the full disclaimer)

Deepfake voice technology is rapidly advancing, but how well do current detection systems handle differences in language and writing style? Most existing work focuses on robustness to acoustic variations such as background noise or compression, while largely overlooking how linguistic variation shapes both deepfake generation and detection. Yet language matters: psycholinguistic features such as sentence structure, complexity, and word choice influence how models synthesize speech, which in turn affects how detectors score and flag audio. In this talk,  we will ask questions such as: "If we change the way a person writes, while keeping their voice the same, will a deepfake detector still reach the same decision?" and "Are some text-to-speech and voice cloning models more vulnerable to shifts in writing style than others?" We will then discuss implications for designing robust deepfake voice detectors and for advancing more trustworthy speech AI in an era of increasingly synthetic media. About the speaker:  Thai Le is an Assistant Professor of Computer Science at the Indiana University's Luddy School of Informatics, Computing, and Engineering. He obtained his doctoral degree from the college of Information Science and Technology at the Pennsylvania State University with an Excellent Research Award and a DAAD Fellowship. His research focuses on the trustworthiness of AI/ML models, with a mission to enhance the robustness, safety, and transparency of AI technology in various sociotechnical contexts. Le has published nearly 50 peer-reviewed research works with two best paper presentation awards. He is a pioneer in collecting and investigating so-called text perturbations in the wild, which has been utilized by users and researchers worldwide to study and understand effects of humans' adversarial behaviors on their daily usage with AI/ML models. His works have also been featured in ScienceDaily, DefenseOne, and Engineering and Technology Magazine.

Rahul Raja is a Staff Software Engineer at LinkedIn, working on large-scale search infrastructure, information retrieval systems, and integrating AI/ML to improve ranking and semantic search experiences.The Future of Information Retrieval: From Dense Vectors to Cognitive Search // MLOps Podcast #362 with Rahul Raja, Staff Software Engineer at LinkedInJoin the Community: https://go.mlops.community/YTJoinInGet the newsletter: https://go.mlops.community/YTNewsletterMLOps GPU Guide: https://go.mlops.community/gpuguide// AbstractInformation Retrieval is evolving from keyword matching to intelligent, vector-based understanding. In this talk, Rahul Raja explores how dense retrieval, vector databases, and hybrid search systems are redefining how modern AI retrieves, ranks, and reasons over information. He discusses how retrieval now powers large language models through Retrieval-Augmented Generation (RAG) and the new MLOps challenges that arise, embedding drift, continuous evaluation, and large-scale vector maintenance.Looking ahead, the session envisions a future of Cognitive Search, where retrieval systems move beyond recall to genuine reasoning, contextual understanding, and multimodal awareness. Listeners will gain insight into how the next generation of retrieval will bridge semantics, scalability, and intelligence, powering everything from search and recommendations to generative AI.// BioRahul is a Staff Engineer at LinkedIn, where he focuses on search and deployment systems at scale. Rahul is a graduate from Carnegie Mellon University and has a strong background in building reliable, high-performance infrastructure. He has led many initiatives to improve search relevance and streamline ML deployment workflows.// Related LinksWebsite: https://www.linkedin.com/Coding Agents Conference: https://luma.com/codingagents~~~~~~~~ ✌️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 Rahul on LinkedIn: /rahulraja963/Timestamps:[00:00] Vector Search for Media[00:33] RAG and Search Evolution[04:45] Cognitive vs Semantic Search[08:26] High Value Search Signals[16:43] Scaling with Embeddings[22:37] BM25 Benchmark Bias[29:00] Video Search Use Cases[31:21] Context and Search Tradeoff[35:04] Personal Memory Augmentation[39:03] Future of Cognitive Search[44:51] Access Control in Vectors[49:14] Search Ranking Challenge[54:43] Hard Search Problems Solved[58:29] Freshness vs Cost[1:02:12] Wrap up

On this episode of CIO Classified, host Yousuf Khan sits down with Ravi Thadani, Global Head of IT at Enphase Energy, a company powering over 5 million homes across 160 countries with clean, solar-driven energy. With 85 million microinverters producing 30 gigawatts of power, Ravi's team is at the epicenter of a massive, real-time data operation—and every IT decision directly impacts the customer experience.About Ravi: Ravi Thadani is a seasoned IT executive with extensive experience leading large-scale digital transformations across Fortune 500 companies. He has driven strategic initiatives across ERP, CRM, PLM, HCM, SCM, analytics, AI/ML, network architecture, cloud infrastructure, and M&A integration. With oversight of multi-$10M budgets and teams of over 300, Ravi has supported business units ranging from $2B to $70B in revenue.Known for his strategic vision and execution, Ravi is recognized for fostering cross-functional alignment, driving agile transformation, and cultivating high-performing teams. His leadership approach is grounded in strong business partnerships, stakeholder governance, innovation, and a relentless focus on outcomes.Timestamps:01:50 – Enphase Energy's Global Operations03:40 – Ravi's Role and Responsibilities06:00 – Managing Customer Data and CRM16:45 – Driving Change as a CIO19:50 – The Role of Data in AI20:55 – The Importance of Data Cleaning21:20 – Effective Data Governance Strategies23:45 – Architecting for Scalability27:30 – Challenges in Hardware and Software IntegrationGuest Highlights:"AI isn't replacing you—people using AI are. The adoption curve is about enabling people to do more, not just reducing headcount.""The biggest failure point in IT projects? Treating them like IT projects. Every transformation has to be owned by the business.""Your architecture should always assume 10x growth. Even if you're not scaling today, you need a conscious plan for when you do."Get Connected:Yousuf Kahn on LinkedInRavi Thadani on LinkedInHungry for more tech talk? Check out latest episodes at ciopod.com: Ep 65 - Accelerating Software Development at Enterprise ScaleEp 64 - How Autonomous AI is Solving the Enterprise Modernization ChallengeEp 63 - How AI is Expanding the CIO RoleLearn more about Caspian Studios: caspianstudios.comOur Sponsor: Want to accelerate software development by 500%? Meet Blitzy, the only autonomous code generation platform with infinite code context, purpose-built for large, complex enterprise-scale codebases.While other AI coding tools provide snippets of code and struggle with context, Blitzy ingests millions of lines of code and orchestrates thousands of agents that reason for hours to map every line-level dependency.With a complete contextual understanding of your codebase, Blitzy is ready to be deployed at the beginning of every sprint. Blitzy handles the heavy lifting, delivering over 80% of the work autonomously. The platform plans, builds, and validates premium-quality code at the speed of compute, turning months of engineering into a matter of days.It's the secret weapon for Fortune 500 companies globally. To hear how engineering leaders are transforming the way they deliver software, visit blitzy.com. Schedule a meeting with their consultants to enable an AI-Native SDLC in your organization today. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

This episode dives into the RETS IDIQ supporting OUSD(R&E), a major DoD contract vehicle enabling research, engineering, prototyping, and advanced technology support across modernization priorities like AI/ML, autonomy, cyber, space, hypersonics, and 5G. We break down the core task areas, contract structure, and where industry expertise is most valuable.Listen now to learn where your capabilities fit, how task orders will be competed, and how to position early for this high-value DoD opportunity.Contact ProposalHelper at sales@proposalhelper.com to find similar opportunities and help you build a realistic and winning pipeline.

Anna Anisin is a seasoned entrepreneur, ecosystem builder, and business owner with deep roots in the tech world and a passion for creativity.Starting her entrepreneurial journey at 16, Anna has since achieved multiple successful exits and built a career around scaling brands, building communities, and pioneering new paths in marketing innovation.Today, Anna leads DataScience.Salon, one of the most trusted communities in AI and machine learning, and runs FormulatedBy, a boutique B2B marketing firm specializing in demand generation, experiential strategy, and AI-driven marketing. Under her leadership, FormulatedBy has served over 100 brands including AWS, IBM, Databricks, Oracle, and many of the most influential startups in AI/ML and deep tech.Most recently, Anna launched the

Send a text message to the show!Medical device pharmacovigilance is complicated. Alongside clinical safety, there are technology risks, from cybersecurity threats to outdated software, that can leave patients vulnerable.  In this two-part episode, Omar Aimer, president of ISoP and former co-lead of the Medical Device Safety Special Interest Group, discusses the challenges with medical device safety monitoring and what needs to change to keep patients safe. Tune in to find out:What defines a medical device and how prevalent they are in our societyWhy device safety monitoring is different from medicines and vaccines, and where current surveillance still falls shortHow global initiatives aim to strengthen safety monitoring standardsWant to know more? If you would like to learn more on the status and suggestions for future improvements in medical device safety monitoring, Omar has recently published a paper on the topic in the journal Drug Safety, as well as an article for Uppsala Reports.Much like any other market, AI/ML are fast infiltrating the medical device field, and may require tailored frameworks for effective safety monitoring, as discussed by Babic et al. in their Nature paper.Founded in 2018, ISoP's Medical Device Safety Special Interest Group works to develop “best practices and policy in the field of medical device performance monitoring and safety surveillance”. Join the conversation on social mediaFollow us on Facebook, LinkedIn, X, or Bluesky and share your thoughts about the show with the hashtag #DrugSafetyMatters.Got a story to share?We're always looking for new content and interesting people to interview. If you have a great idea for a show, get in touch!About UMCRead more about Uppsala Monitoring Centre and how we promote safer use of medicines and vaccines for everyone everywhere.

In this Confab, Max sits down with Marks from Maple AI for a candid dive into privacy-first AI and how it intersects with the Bitcoin and Monero worlds many of us live in. They explore his journey from Apple's AI/ML and product-launch trenches to Mutiny Wallet and now Maple, a secure, confidential-computing alternative to mainstream AI assistants. Marks shares how lawyers, accountants, therapists, and privacy-conscious users are adopting Maple to protect client data while still getting powerful AI assistance, and we unpack why closed AIs can shape narratives through hidden prompts, profiling, and subtle persuasion—especially in future crisis scenarios.Max and Marks also look ahead: open-source and local AI, encrypted enclaves, and the path to personal “Jarvis” agents with strong memory and on-device sovereignty. From live translation and wearables to body-language detection, they consider the benefits and risks—and how cryptographic identity, consent-based data sharing, and verifiable systems could keep humans in control. Marks points listeners to his essay “The Free Thought Manifesto” at https://aiwithconfidence.org for a deeper read on censorship risks and the importance of verifiable AI. Try Maple: trymaple.aiHELP GET SAMOURAI A PARDONSIGN THE PETITION ----> https://www.change.org/p/stand-up-for-freedom-pardon-the-innocent-coders-jailed-for-building-privacy-tools DONATE TO THE FAMILIES ----> https://www.givesendgo.com/billandkeonneSUPPORT ON SOCIAL MEDIA ---> https://billandkeonne.org/VALUE FOR VALUEThanks for listening you Ungovernable Misfits, we appreciate your continued support and hope you enjoy the shows.You can support this episode using your time, talent or treasure.TIME:- create fountain clips for the show- create a meetup- help boost the signal on social mediaTALENT:- create ungovernable misfit inspired art, animation or music- design or implement some software that can make the podcast better- use whatever talents you have to make a contribution to the show!TREASURE:- BOOST IT OR STREAM SATS on the Podcasting 2.0 apps @ https://podcastapps.com- DONATE via Monero @ https://xmrchat.com/ugmf- BUY SOME STICKERS @ https://www.ungovernablemisfits.com/shop/FOUNDATIONhttps://foundation.xyz/ungovernableFoundation builds Bitcoin-centric tools that empower you to reclaim your digital sovereignty.As a sovereign computing company, Foundation is the antithesis of today's tech conglomerates. Returning to cypherpunk principles, they build open source technology that “can't be evil”.Thank you Foundation Devices for sponsoring the show!Use code: Ungovernable for $10 off of your purchaseCAKE WALLEThttps://cakewallet.comCake Wallet is an open-source, non-custodial wallet available on Android, iOS, macOS, and Linux.Features:- Built-in Exchange: Swap easily between Bitcoin and Monero.- User-Friendly: Simple interface for all users.Monero Users:- Batch Transactions: Send multiple payments at once.- Faster Syncing: Optimized syncing via specified restore heights- Proxy Support: Enhance privacy with proxy node options.Bitcoin Users:- Coin Control: Manage your transactions effectively.- Silent Payments: Static bitcoin addresses- Batch Transactions: Streamline your payment process.Thank you Cake Wallet for sponsoring the show!MYNYMBOXhttps://mynymbox.ioYour go-to for anonymous server hosting solutions, featuring: virtual private & dedicated servers, domain registration and DNS parking. We don't require any of your personal information, and you can purchase using Bitcoin, Lightning, Monero and many other cryptos.Explore benefits such as No KYC, complete privacy & security, and human support.(00:00:00) INTRO(00:01:23) BOOSTS(00:03:30) THANK YOU CAKE WALLET(00:04:17) THANK YOU FOUNDATION(00:05:04) THANK YOU MYNYMBOX(00:06:01) Welcome Back Marks(00:10:25) Bitcoin Meetups and Legal Risk(00:15:25) Life at Apple(00:23:38) Mutiny Plants the Maple Seed(00:27:30) Who's The User?(00:33:17) Closed AI is the New Censorship(00:40:52) Jarvis Dreams(00:46:17) NIMBY AI(00:52:48) What About My Wearables?(00:55:10) Verifiable Systems(01:00:26) The Free Thought Manifesto

Can AI agents be deployed for enhanced protection? What is a “triple extortion”? How is ransomware evolving? Is there hope for SMEs?Sam Kaplan is a policy, legal, and national security professional with over eighteen years of experience across the public and private sectors. He is currently the Assistant General Counsel for Public Policy & Government Affairs at Palo Alto Networks, providing legal guidance on domestic and international legislative, regulatory, and policy matters, with a focus on cybersecurity, AI governance, privacy, data security, international data flows, and public-private capacity building.Before Palo Alto Networks, Sam led the global product policy team for Facebook's News Feed and News Tab at Meta Platforms, addressing issues like AI/ML fairness, algorithmic transparency, platform integrity, election security, misinformation, and harmful content.Prior to his private sector roles, Sam spent over thirteen years in the Federal Government. He held senior leadership positions at the U.S. Department of Homeland Security, including Assistant Secretary for Cyber, Infrastructure, Risk and Resilience Policy and Chief Privacy Officer. Earlier government roles included work at the U.S. Department of Justice (Office of Legal Policy, Bureau of Alcohol, Tobacco, Firearms and Explosives, and U.S. Attorney's Office for the Eastern District of Virginia) and as Counselor to a member of the Privacy and Civil Liberties Oversight Board, focusing on the U.S. Intelligence Community.References:* Sam Kaplan on LinkedIn* Palo Alto Networks* Unit 42 Research (Palo Alto Networks)* Cyber Information Sharing and Collaboration Program (CISCP) at CISA (Cybersecurity and Infrastructure Security Agency) This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.mastersofprivacy.com/subscribe

Episode 443 "AI Infrastructure & Capital Strategy" w/ Brandon Chicotsky, Ph.D., Texas Senator Tan Parker, John Nichols, and Chase Friedman.  For more information on GBR and how to attend future events, please visit: www.godblessretirement.com Our monthly gatherings aim to offer an informational and positional advantage for attendees, whether de-risking investments or servicing deals. Our events are free, thanks to our strategic partners. Monthly topical gatherings were prompted by a joint family office relationship to meet regional lenders, which has since extended to professionals in service of capital. We invite you to the next topical session. Previously serving in the Texas House, Tan held leading committee roles on policy matters vital to our state. His leadership was instrumental in the unanimous election by his colleagues as chair of the House Republican Caucus during the 84th and 85th legislative sessions. Tan's legislative success touches a broad range of issues facing Texans and serves as a reflection of open dialogue with his constituency. His legislative accomplishments represent his extensive work fostering Texas' economic vitality and protecting our most vulnerable. Tan graduated from the University of Dallas and earned a Master's degree from the London School of Economics before building a distinguished private sector career in technology and private equity. He also created the book, Making Government Work. Tan Parker is a businessman, who grew up in North Texas working in his family's restaurants while volunteering in his community. He married his college sweetheart, Beth, and they moved to Flower Mound, raising their daughters, Lauren and Ashley. While family comes first, Tan considers working for the betterment of Texas the highest honor of his professional life. The bedrock of his service is exemplified through passionate advocacy for community and fighting for common-sense, conservative policies that strengthen Texas's prosperity. John Nichols is a recognized leader in artificial intelligence and innovation, currently serving as the Technology Lead for AI & Innovation within EY's Government & Public Sector (GPS) practice. Passionate about helping public institutions navigate the complexities of digital transformation, John works closely with city governments, state agencies, and public education systems to drive meaningful change through emerging technologies. He has played a key role in developing responsible AI frameworks, advancing the adoption of AI/ML in secure environments, and modernizing infrastructure with cloud-native, compliant solutions. John's work is grounded in a deep commitment to public service and innovation, especially in his hometown of Fort Worth, Texas. He partners with leaders across government and education to ensure technology is applied in ways that are ethical, scalable, and inclusive. Whether collaborating with CIOs, economic development teams, or innovation labs, John brings a people-first approach rooted in trust, empathy, and a long-term vision for impact. He has spoken on AI at national forums, led executive conversations with state leaders, and partnered with organizations including the White House, Microsoft, and AAAE. John also serves on the board of the Keller Education Foundation and is a strong advocate for AI literacy in underserved communities. At the heart of it all, John is a community builder. He believes the most powerful innovations are those shaped by the needs of the people they serve and he works every day to make that belief real. Chase Friedman is Managing Partner at Alpine Anchor, an AI automation platform making enterprise capabilities accessible to SMBs. With 10 years in sales and solution architecting, he combines technical expertise and business acumen, rapidly architecting solutions. Previously spending weeks building integrations at Venn Technology, he now delivers them in hours. His philosophy: click to deploy, not code—enabling businesses to scale operations without scaling headcount.

У свіжому дайджесті DOU News говоримо про зростання кількості вакансій і нові тренди на ІТ-ринку. А ще — про оновлення в «Резерв+», список забороненого софту від Держспецзв'язку, скандал навколо Grok AI та інші теми українського ІТ та світового тек-сектору. Таймкоди 00:00 Інтро 00:22 IT-сектор приніс майже половину доходу від експорту у 2025 році 01:30 +11% вакансій: AI/ML та Embedded — лідери зростання 02:57 «Резерв+» надсилатиме сповіщення про паперові повістки 03:29 Премія DOU 2026: стартувало голосування 04:57 Список забороненого софту від Держспецзв'язку 06:55 Скандал із Grok AI: дипфейки та заборонений контент 09:12 xAI залучила $20 млрд за підтримки Nvidia 12:40 Tailwind скорочує інженерів через ШІ 16:43 Найкращі ІТ-роботодавці 2025 18:29 Wix повертає співробітників в офіси 19:47 OpenAI запускає ChatGPT Health 21:24 Що цього тижня рекомендує Женя: як Борис Черний використовує Claude Code та інструментарій PRISM.TOOLS

In the inaugural episode of the Space Innovation and Defense Launchpad Podcast, Mark Giaconia of Vantor (formerly Maxar) shares his path from Army Special Forces into geospatial technology and software engineering, describing how GEOINT, coding, and data infrastructure have evolved over the past two decades. The conversation dives into tactical-edge geospatial intelligence, AI/ML for analytics, data fusion, UX and policy frictions in government and commercial environments, and how to turn massive volumes of sensor data into concise, actionable insights for users.

Zahack Tanvir is a Hyderabad-born independent journalist, counter-extremism expert, and the founder and editor of the UK-based media outlet Milli Chronicle. He specializes in international affairs and counter-terrorism, having completed academic programs in these fields at the University of Leiden in the Netherlands and the London School of Journalism.His educational background is diverse, also comprising an engineering degree in Computer Science from Osmania University, a post-graduate diploma in AI and Machine Learning from IIIT India, and a Master's in AI-ML from Liverpool John Moores University.Tanvir identifies as a traditional Muslim who is vocally "anti-Islamist," often criticizing extremist ideologies and the political misuse of religion. He lived in Saudi Arabia for 13 years until a significant legal ordeal in late 2023, when he was detained by Saudi authorities following a complaint filed by Pakistan regarding his social media content, which was alleged to be anti-Pakistan. He was released in December 2024.

Dr. Richard Wallace, creator of ALICE and AIML, shares his journey from 1990s chatbot innovation to today's AI frontiers. He and Preston also explore AI's learning methods, human vs machine intelligence, and the evolving role of creativity in artificial minds. IN THIS EPISODE YOU'LL LEARN: 00:00:00 - Intro 00:02:46 - How a 1990 New York Times article inspired Richard Wallace's AI journey 00:03:42 - What made the ALICE chatbot revolutionary in its time 00:07:20 - The principles behind minimalist robotics and their influence on AI 00:12:00 - How AIML works and why it was crucial to early chatbot success 00:16:30 - The contrast between supervised and unsupervised learning methods 00:17:20 - Why LLM decision-making processes remain hard to interpret 00:20:33 - How humans and chatbots use language in surprisingly robotic ways 00:24:43 - The philosophical roots of the Turing Test and its modern critiques 00:40:19 - Insights on combining symbolic and neural approaches in AI today 00:41:18 - What Wallace is working on now at Franz in medical AI predictions Disclaimer: Slight discrepancies in the timestamps may occur due to podcast platform differences. BOOKS AND RESOURCES The platform behind ALICE: Pandorabots.com. Website: Franz. Related ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠books⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ mentioned in the podcast. Ad-free episodes on our⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Premium Feed⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. NEW TO THE SHOW? Join the exclusive ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠TIP Mastermind Community⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to engage in meaningful stock investing discussions with Stig, Clay, Kyle, and the other community members. Follow our official social media accounts: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠X (Twitter)⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ | ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠LinkedIn⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ | | ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Instagram⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ | ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Facebook⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ | ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠TikTok⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Check out our ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Bitcoin Fundamentals Starter Packs⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Browse through all our episodes (complete with transcripts) ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠here⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Try our tool for picking stock winners and managing our portfolios: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠TIP Finance Tool⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Enjoy exclusive perks from our ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠favorite Apps and Services⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Get smarter about valuing businesses in just a few minutes each week through our newsletter, ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠The Intrinsic Value Newsletter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Learn how to better start, manage, and grow your business with the ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠best business podcasts⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. SPONSORSSupport our free podcast by supporting our sponsors: Simple Mining Linkedin Talent Solutions Alexa+ HardBlock Unchained Amazon Ads Vanta Abundant Mines Horizon ⁠Public.com⁠ - see the full disclaimer ⁠here⁠. References to any third-party products, services, or advertisers do not constitute endorsements, and The Investor's Podcast Network is not responsible for any claims made by them. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://theinvestorspodcastnetwork.supportingcast.fm

Varant Zanoyan is the Co-founder & CEO at Zipline AI, working on building a next-generation AI/ML infrastructure platform that streamlines data pipelines, model deployment, observability, and governance to accelerate enterprise AI development. Nikhil Simha Raprolu is the Co-founder & CTO at Zipline AI, focused on architecting and scaling the company's AI data platform — extending the open-source Chronon engine into a developer-friendly system that simplifies building and operating production AI applications.Real-time features, AI search, Agentic similarities, Varant Zanoyan & Nikhil Simha Raprolu // MLOps Podcast #354Join the Community: https://go.mlops.community/YTJoinInGet the newsletter: https://go.mlops.community/YTNewsletterMLOps Swag/Merch: [https://shop.mlops.community/]And huge thanks to Chroma for hosting us in their recording studio// AbstractFeature stores might be the wrong abstraction. Varant Zanoyan and Nikhil Simha Raprolu explain why Cronon ditched “store-first” thinking and focused on compute, orchestration, and real-time correctness—born at Airbnb, battle-tested with Stripe. If embeddings, agents, and real-time ML feel painful, this episode explains why.// Related LinksWebsite: https://zipline.ai/ ~~~~~~~~ ✌️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 Varant on LinkedIn: /vzanoyan/Connect with Nikhil on LinkedIn: /nikhilsimha/Timestamps:[00:00] Feature Platform Insights[02:00] Zipline and Feature Stores[05:19] Cronon and Zipline Origins[10:49] Feast and Feather Comparison[13:27] Open source challenges[20:52] Zipline and Iceberg Integration [23:54] Airbnb Agent Systems[28:16] Features vs Embeddings[29:07] Wrap up

Emergency departments across the U.S. are under unprecedented strain, with overcrowding, staffing shortages, and inpatient bed constraints converging into a throughput crisis. The American Hospital Association reports that hospital capacity and workforce growth have lagged, intensifying delays from arrival to disposition. At the same time, advances in artificial intelligence are moving from experimental to operational—raising the stakes for how technology can meaningfully improve patient flow rather than add complexity.So, how can emergency departments reduce bottlenecks and move patients more efficiently through care without compromising clinical judgment or trust?Welcome to I Don't Care. In the latest episode, host Dr. Kevin Stevenson sits down with Mitch Quinn, Director of AI/ML at ChoreoED, to explore how AI-driven insights can help hospitals anticipate admissions and discharges earlier, coordinate downstream services, and ultimately improve ED throughput. Their conversation spans the real-world operational challenges ED leaders face, the practical application of machine learning in high-acuity settings, and what it takes to deploy AI tools that clinicians actually trust and use.What you'll learn…How AI models trained on a hospital's own historical data can accurately anticipate admissions up to hours earlier, enabling parallel workflows.Why focusing on “high-certainty” admissions and discharges—rather than rare edge cases—creates immediate operational value in the ED.How adaptive, continuously retrained models can support both experienced clinicians and newer providers in high-turnover environments.Mitch Quinn is a Director of AI and Machine Learning and a computer scientist with 20+ years of experience building production-grade AI systems across healthcare and cybersecurity. He specializes in deep learning, large-scale model architecture, and end-to-end ML pipelines, with leadership roles spanning applied research at Blue Cross NC, enterprise AI consulting, and real-time cyber threat detection. His career highlights include designing high-performance deep neural networks, anomaly detection systems operating at enterprise scale, and foundational software frameworks used by large engineering organizations.

What if every AI interaction with a customer built upon the last, instead of starting from scratch every single time, or at least having it feel that way? Agility requires not just reacting quickly to customer needs, but learning continuously from every interaction to anticipate the next one. This means our technology, especially our AI, can't operate with amnesia; it must have a persistent, shared memory. Today, we're going to talk about breaking down the silos between our AI systems. We'll explore a concept that promises to give our AI a persistent memory, allowing different models and platforms to share context and build a truly continuous, intelligent customer experience. To help me discuss this topic, I'd like to welcome, David Funck, Chief Technology Officer at Avaya. About David Funck David Funck is the Chief Technology Officer at Avaya, bringing more than 30 years of experience in enterprise communications, cloud transformation, and contact center innovation. David has held senior technology leadership roles at Edify, Aspect Software, and Alvaria, where he served as CTO and led the transition of legacy platforms to modern, cloud-based architectures. Before becoming CTO at Avaya, David served as the company's Chief Architect, where he was responsible for advancing Avaya's technology strategy and leading the Innovation Incubator and AI/ML initiatives. David joined Avaya through the acquisition of Edify, where he was CTO and played a key role in developing AI-native contact center solutions. David's expertise spans full-stack architecture, multi-cloud deployments across leading hyperscalers, and leading global development teams to deliver enterprise-scale solutions. He is known for driving high-impact product innovation, closing strategic customer contracts, and guiding companies through complex technical transformations., David Funck on LinkedIn: https://www.linkedin.com/in/david-funck Resources Avaya : https://www.avaya.com The Agile Brand podcast is brought to you by TEKsystems. Learn more here: https://www.teksystems.com/versionnextnow Catch the future of e-commerce at eTail Palm Springs, Feb 23-26 in Palm Springs, CA. Go here for more details: https://etailwest.wbresearch.com/ Connect with Greg on LinkedIn: https://www.linkedin.com/in/gregkihlstromDon't miss a thing: get the latest episodes, sign up for our newsletter and more: https://www.theagilebrand.showCheck out The Agile Brand Guide website with articles, insights, and Martechipedia, the wiki for marketing technology: https://www.agilebrandguide.com The Agile Brand is produced by Missing Link—a Latina-owned strategy-driven, creatively fueled production co-op. From ideation to creation, they craft human connections through intelligent, engaging and informative content. https://www.missinglink.company

Together, Leon and Oscar share how applied EDA practices remain the backbone of trustworthy analytics pipelines in both academic and industry settings. Their discussion highlights the challenges and lessons learned from building the EDA Toolkit, and why reproducible workflows are more important than ever in the age of AI and ML.Key Highlights:Reproducible EDA: How to standardize exploratory data analysis workflows for consistent and trustworthy insights.Open-Source Innovation: The design and impact of the EDA Toolkit, bridging research, healthcare, and education.Best Practices for Analytics: Lessons learned from creating tools that make EDA more intuitive and scalable across projects.The Future of Data Science Workflows: Why reproducibility and standardization matter in modern AI/ML pipelines.

The critical watches and warnings issued by the National Weather Service (NWS) inform everything from a firefighter's deployment to wildfires to the public's beach plans. This information is powered by some of the most advanced computational infrastructure in the world. According to David Michaud, director of the National Centers for Environmental Prediction's Central Operations at the NWS, high-performance computing (HPC) is the indispensable foundation that turns raw atmospheric data into actionable public safety information. Michaud joined GovCast to discuss HPC and the IT systems accelerating science at NWS, including the service's operational supercomputers capable of calculating up to 14 quadrillion calculations per second. Michaud also talked about the burgeoning role of AI/ML in weather prediction. These new predictive models are not intended to replace the traditional NWP models, but to complement them.

S5E13 Future of AI-Powered Consumer Insights with Trevor Sumner & Stan SthanunathanIn Season 5, Episode 13 of The Retail Razor Show, hosts Ricardo Belmar and Casey Golden tackle one of retail's biggest blind spots in consumer insights: the consumer sentiment gap. For decades, brands relied on surveys to understand shoppers. But what people say doesn't always match what they do.Enter AI-powered shopper insights!Joining the conversation are Trevor Sumner (CEO of i-Genie AI) and Stan Sthanunathan (Executive Chairman of i-Genie AI, former EVP at Unilever and VP at Coca-Cola). Together, they reveal how billions of unfiltered signals — from searches, reviews, and social posts — can be transformed into real-time, actionable consumer insights that reshape retail decision-making.What You'll Learn in This Episode:Why traditional consumer surveys are breaking downHow AI and natural language processing uncover real customer behaviorThe role of empathy vs sympathy in understanding consumersHow disruptor brands are reshaping competitive landscapesWhy augmented intelligence (AI + human insight) is the future of retail strategy and consumer insightsSubscribe to the Retail Razor Podcast Network: https://retailrazor.com/Subscribe to our Newsletter: https://retailrazor.substack.comSubscribe to our YouTube channel: https://bit.ly/RRShowYouTubeAbout our GuestsTrevor Sumner, CEO, i-Genie.AI - https://www.linkedin.com/in/trevorsumner/Trevor is a NYC-based entrepreneur, product and marketing executive and recognized startup advisor and angel. Trevor is the CEO at i-Genie.ai, the leading AI platform for consumer insights, revolutionizing an industry that had been dominated with antiquated survey methodologies by synthesizing tens of billions of searches, social and video posts, ratings and reviews and market data for industry leaders like Kenvue, Unilever, Coca-Cola, Bayer, Clorox and more.Previously, Mr. Sumner was Head of AI and Data Platform products for Raydiant, a leading VC-backed digital experience platform that is transforming over 250,000 digital touch points across 4,500 clients with AI, computer vision and data.Mr. Sumner came to Raydiant when it acquired Perch, a recognized leader in in-store Product Engagement Marketing, interactive retail displays and augmented reality, where Mr. SUmner served as CEO. Perch was named a Top Tech Company to Watch by Forbes, a Top 10 Retail Technology company by CIO Review and has won numerous Clio, Fast Company, Edison, Bloomberg and Digi awards.Stan Sthanunathan, Executive Chairman, i-Genie.AI - https://www.linkedin.com/in/stan-sthanunathan-1ab4035/Stan Sthanunathan joined Unilever in July 2013 as Executive Vice President of Consumer & Market Insights. As chief provocateur, he headed up the insights function globally based in London. He retired from Unilever on June 1, 2021.Post retirement he has started an AI/ML enabled company called i-Genie.AI focused on delivering near real time insights and ideas to help business identify Next Big Thing. Prior to joining Unilever, he was Vice President of Marketing Strategy & Insights for The Coca-Cola Company in Atlanta, heading up the function on a global basis.Stan co-authored a paper on Building an Insights Engine that was published in Harvard Business Review, Sept 2016. He has also co-authored a book titled AI for Marketing and Product Innovation.He was awarded Lifetime Achievement award at TMRE 2022 event.Chapters:00:00 Previews 01:23 Show Intro 04:43 The Consumer Sentiment Gap 05:37 Welcome Trevor Sumner & Stan Sthanunathan 06:30 Backgrounds of Trevor and Stan 09:11 Challenges in Understanding Consumers 16:58 The Evolution of Influencers 18:32 Limitations of Surveys and the Need for AI 25:46 Augmented Intelligence: AI + Human Insight 31:46 Challenges in CPG Innovation 33:02 Innovate: A Data-Driven Product 34:42 AI and Predictive Analytics 36:21 Democratizing Data Access 38:07 Mindset Shift for Rapid Actions 40:46 Adopting AI in CPG 48:16 Retailers and Data Utilization 52:59 Future of Brand Understanding 57:23 Conclusion and Contact Information 58:15 Show CloseMeet your hosts, helping you cut through the clutter in retail & retail tech:Ricardo Belmar is an NRF Top Retail Voices for 2025 & a RETHINK Retail Top Retail Expert from 2021 – 2025. Thinkers 360 has named him a Top 10 Retail, & AGI Thought Leader, a Top 50 Management, Transformation, & Careers Thought Leader, a Top 100 Digital Transformation & Agentic AI Thought Leader, plus a Top Digital Voice for 2024 and 2025. He is an advisory council member at George Mason University's Center for Retail Transformation, and the Retail Cloud Alliance. He was most recently the director partner marketing for retail & consumer goods in the Americas at Microsoft.Casey Golden, is CEO of Luxlock, a RETHINK Retail Top Retail Expert from 2023 - 2025, and a Retail Cloud Alliance advisory council member. Obsessed with the customer relationship between the brand and the consumer. After a career on the fashion and supply chain technology side of the business, now slaying franken-stacks and building retail tech! Currently, Casey is the North America Leader for Retail & Consumer Goods at CI&T.Includes music provided by imunobeats.com, featuring Overclocked, and E-Motive from the album Beat Hype, written by Heston Mimms, published by Imuno.

Before StatQuest became the go-to learning companion for millions of AI and ML practitioners…Before the “BAM! Double BAM! Triple BAM!” became a teaching tool that many learners adore...There was just one guy in a genetics lab, trying desperately to explain his data analysis to coworkers so they didn't think he was working magic.In this deeply personal and inspiring episode, Joshua Starmer (CEO & Founder | StatQuest) shares the real story behind his rise — a journey shaped by strategy, struggle, blunt feedback, and a relentless desire to make complicated ideas simple.What you'll discover:

Welcome to The Chrisman Commentary, your go-to daily mortgage news podcast, where industry insights meet expert analysis. Hosted by Robbie Chrisman, this podcast delivers the latest updates on mortgage rates, capital markets, and the forces shaping the housing finance landscape. Whether you're a seasoned professional or just looking to stay informed, you'll get clear, concise breakdowns of market trends and economic shifts that impact the mortgage world.In today's episode, we discuss Freddie Mac's new AI/ML framework set to take effect March 3, 2026. Plus, Robbie sits down with MBA's Marcia Davies for a discussion on lessons from a career that's soon culminating in retirement, and themes such as self-advocacy, and expanding opportunities for the next generation. And we close by examining what sort of deterioration we are seeing in home prices.Today's podcast is presented by Two Dots. Whether it's applying to rent an apartment or take out a loan, today's approval process is full of blind spots and inefficiencies. Critical data sits locked inside documents, leaving companies with an incomplete picture that causes delays, increased risk, and inconsistent decisions. Two Dots is building a better system. One where underwriting and screening is automated not manual. Where applications happen in real-time within a dynamic and contextual conversation. And where better decisions are made faster for everyone.

This episode examines a new CNA model that can help government officials optimally deploy unmanned systems, and how it overlaps with our existing tools. Guest Biographies Arpita Verma is an expert in optimization, modeling, and simulation in CNA's Data Science for Production Program. John Crissman is an expert in artificial intelligence (AI), machine learning (ML) and natural language processing in CNA's Center for Data Management Analytics. Rebekah Yang is an expert in artificial intelligence and machine learning (AI/ML) for FAA NextGen and a specialist in data visualization and modeling in CNA's Center for Data Management Analytics. Further Reading UAS Cooperative Airspace Traffic Simulation (UCATS) First Responder Awareness Monitoring during Emergencies (FRAME) 

Join SADA's CTO, Miles Ward, and Associate CTO of AI & ML, Simon Margolis, for this special and final episode of the Cloud and Clear podcast. They share their biggest, most impactful predictions for 2026 and beyond, focusing on the massive shift required for businesses to get value from AI. Miles and Simon discuss how the conversation around AI investment is changing. Boards will no longer tolerate putting AI in the R&D bucket. The focus is shifting from "what's possible" to "what's profitable," demanding financial returns on a quarterly basis. In this insightful discussion, you will learn: The model choice: Why optimizing your model selection matters, noting that a model like Gemini Pro 2.5 can have output tokens that are 25 times more expensive than Gemini Flash. Service as software: The need to think of your business as a new startup, building "machinery to let you run service as if it's software." Democratization: How "anybody that knows their natural language is able to go and build some type of truly agentic system." The ability to build a prototype with a prompt is replacing lengthy Product Requirement Documents (PRDs). The luxury trap: Why reducing friction will become a required, contractually obligated expectation. This includes developing "user interfaces for an audience of one" to accommodate different customer cohorts. If you are a technology leader, cloud engineer, or executive looking to set your strategy for the next wave of transformation, this episode is packed with valuable knowledge. And even though this is the last Cloud and Clear, the journey continues with InsightON! Connect with SADA & InsightON: Check out all of our experts' 2026 predictions: https://sada.com/blog/2026-technology-trends/  InsightON: insight.com/InsightOn Host: Miles Ward, Chief Technology Officer, SADA, An Insight company Guest: Simon Margolis, Associate CTO of AI & ML, SADA, An Insight company  

Thanks to Prosus Group for collaborating on the Agents in Production Virtual Conference 2025.Abstract //The discussion centers on highly technical yet practical themes, such as the use of advanced post-training techniques like Direct Preference Optimization (DPO) and Parameter-Efficient Fine-Tuning (PEFT) to ensure LLMs maintain stability while specializing for e-commerce domains. We compare the implementation challenges of Computer-Using Agents in automating legacy enterprise systems versus the stability issues faced by conversational agents when inputs become unpredictable in production. We will analyze the role of cloud infrastructure in supporting the continuous, iterative training loops required by Reinforcement Learning-based agents for e-commerce!Bio // Paul van der Boor (Panel Host) //Paul van der Boor is a Senior Director of Data Science at Prosus and a member of its internal AI group.Arushi Jain (Panelist) // Arushi is a Senior Applied Scientist at Microsoft, working on LLM post-training for Computer-Using Agent (CUA) through Reinforcement Learning. She previously completed Microsoft's competitive 2-year AI Rotational Program (MAIDAP), building and shipping AI-powered features across four product teams.She holds a Master's in Machine Learning from the University of Michigan, Ann Arbor, and a Dual Degree in Economics from IIT Kanpur. At Michigan, she led the NLG efforts for the Alexa Prize Team, securing a $250K research grant to develop a personalized, active-listening socialbot. Her research spans collaborations with Rutgers School of Information, Virginia Tech's Economics Department, and UCLA's Center for Digital Behavior.Beyond her technical work, Arushi is a passionate advocate for gender equity in AI. She leads the Women in Data Science (WiDS) Cambridge community, scaling participation in her ML workshops from 25 women in 2020 to 100+ in 2025—empowering women and non-binary technologists through education and mentorship.Swati Bhatia //Passionate about building and investing in cutting-edge technology to drive positive impact.Currently shaping the future of AI/ML at Google Cloud.10+ years of global experience across the U.S, EMEA, and India in product, strategy & venture capital (Google, Uber, BCG, Morpheus Ventures).Audi Liu //I'm passionate about making AI more useful and safe.Why? Because AI will be ubiquitous in every workflow, powering our lives just like how electricity revolutionized our society - It's pivotal we get it right.At Inworld AI, we believe all future software will be powered by voice. As a Sr Product Manager at Inworld, I'm focused on building a real-time voice API that empowers developers to create engaging, human-like experiences. Inworld offers state-of-the-art voice AI at a radically accessible price - No. 1 on Hugging Face and Artificial Analysis, instant voice cloning, rich multilingual support, real-time streaming, and emotion plus non-verbal control, all for just $5 per million characters.Isabella Piratininga //Experienced Product Leader with over 10 years in the tech industry, shaping impactful solutions across micro-mobility, e-commerce, and leading organizations in the new economy, such as OLX, iFood, and now Nubank. I began my journey as a Product Owner during the early days of modern product management, contributing to pivotal moments like scaling startups, mergers of major tech companies, and driving innovation in digital banking.My passion lies in solving complex challenges through user-centered product strategies. I believe in creating products that serve as a bridge between user needs and business goals, fostering value and driving growth. At Nubank, I focus on redefining financial experiences and empowering users with accessible and innovative solutions.

Dr. Anil Kane, Global Head of Technical & Scientific Affairs at Thermo Fisher Scientific, joins Ross Katz to discuss how AI, machine learning, and digital tools are reshaping drug development. From predictive modeling for formulation to digital manufacturing efficiencies, discover how data-driven approaches are reducing time, cost, and complexity in pharma innovation. What You'll Learn in This Episode: >> How predictive modeling eliminates trial-and-error in drug formulation >> The role of AI/ML in improving manufacturing efficiency and reducing downtime >> How Thermo Fisher's ASAP program accelerates stability testing >> The future of digital transformation in pharma, including OpenAI partnerships >> Where human expertise fits in a digitally enhanced development pipeline Meet Our Guest Dr. Anil Kane is the Executive Director and Global Head of Technical & Scientific Affairs at Thermo Fisher Scientific, where he oversees a global team supporting drug development, scale-up, and technical strategy across sites in North America and Europe.  About The Host Ross Katz is Principal and Data Science Lead at CorrDyn. Ross specializes in building intelligent data systems that empower biotech and healthcare organizations to extract insights and drive innovation. Connect with Our Guest: Sponsor: CorrDyn, a data consultancyConnect with Anil Kane on LinkedIn  Connect with Us: Follow the podcast for more insightful discussions on the latest in biotech and data science.Subscribe and leave a review if you enjoyed this episode!Connect with Ross Katz on LinkedIn Sponsored by… This episode is brought to you by CorrDyn, the leader in data-driven solutions for biotech and healthcare. Discover how CorrDyn is helping organizations turn data into breakthroughs at CorrDyn.

Send us a textGood morning from Pharma Daily: the podcast that brings you the most important developments in the pharmaceutical and biotech world. Today, we're diving into a myriad of pivotal changes and advancements that have been shaping our industry.The competitive nature of acquisitions within the biopharma sector has been exemplified by recent strategic buyouts. Lundbeck's decision to outbid Alkermes for Avadel Pharmaceuticals highlights how companies are leveraging acquisitions to expand their capabilities and portfolios. Similarly, Pfizer's finalized acquisition of Metsera after a fierce bidding war with Novo Nordisk underscores the importance of securing valuable assets to strengthen positioning in critical therapeutic areas, such as obesity treatment, where demand continues to rise.Regulatory milestones remain at the heart of industry progress. Organon and Henlius's Poherdy recently received FDA approval as a biosimilar to Roche's Perjeta, offering a new treatment avenue for HER2-positive breast cancer patients. This approval is noteworthy as biosimilars play an essential role in oncology by providing similar efficacy to original biologics but at reduced costs, thereby enhancing healthcare affordability and accessibility. In Europe, the EMA's Committee for Medicinal Products for Human Use has endorsed several innovative drugs, including Otsuka's Dawnzera for hereditary angioedema and Lilly's Inluriyo for certain cancer types. These endorsements reflect the growing pipeline of treatments addressing both rare genetic disorders and widespread diseases.Merck & Co.'s acquisition of Cidara Therapeutics for $9.2 billion underscores a strategic pivot towards bolstering its antiviral portfolio. This deal is particularly significant given Cidara's promising influenza antiviral candidate, initially abandoned by Johnson & Johnson. In an era where infectious diseases pose ever-evolving challenges, Merck's investment in antivirals reflects a commitment to advancing therapeutic solutions in this crucial area.However, drug development's inherent uncertainties were highlighted by Bristol Myers Squibb and Johnson & Johnson's joint anticoagulant venture, which faced termination due to a Phase 3 trial failure. This setback emphasizes the challenges and risks entailed in developing novel therapeutics, particularly within high-stakes areas like cardiovascular health.Leadership changes can significantly impact corporate strategy, as seen with Bavarian Nordic following an unsuccessful private equity takeover attempt. Such shifts can influence investor confidence and reshape strategic directions.Investment trends also paint an optimistic picture for innovation within the sector. European life sciences investor Medicxi's successful raising of €500 million signifies robust financial support for biotech ventures. This influx of capital is vital for propelling early-stage research and development efforts across Europe, fostering breakthroughs in chronic and rare disease treatments.In terms of scientific innovation, advancements in bispecific antibody production through AI/ML-driven molecular design promise higher yields and enhanced quality. These technological innovations could revolutionize complex biologics manufacturing, potentially accelerating timelines and expanding therapeutic possibilities.The regulatory landscape is seeing significant activity as well. Notably, FDA officials introduced a novel pathway aimed at accelerating gene editing therapies' development and approval. By facilitating faster market entry for personalized medicines, this regulatory innovation could pave the way for treatments tailored to individual genetic profiles.Kyowa Kirin's collaboration with Kura Oncology reached a milestone with FDA approval for an oral medication targeting acute myeloidSupport the show

In this episode of ACM ByteCast, Rashmi Mohan hosts Anusha Nerella, a Senior Principal Engineer at State Street. She has more than 13 years of experience working on building scalable systems using AI/ML in the domain of high-frequency trading systems and is passionate about driving adoption of automation in the FinTech industry. Anusha is a member of the ACM Practitioner Board, the Forbes Technology Council, and is an IEEE Senior Member and Chair of IEEE Women in Engineering Philadelphia chapter. She has served as a judge in hackathons and devotes significant time mentoring students and professionals on the use of AI technologies, building enterprise-grade software, and all things FinTech. Anusha traces her journey from growing up with limited access to technology to teaching herself programming to working at global firms including Barclays and Citibank and leading enterprise-scale AI initiatives. Anusha and Rashmi discuss the challenges of applying AI to a field where money and personal data are at stake, and workflows that prioritize trust, security, and compliance. They touch on the importance of clear data lineage, model interpretability, and auditability. The discussion also covers observability, tooling, and the use of LLMs in finance. Along the way, Anusha shares her personal philosophy when it comes to building systems where speed and reliability can be competing priorities.

The international business group RedCore invites SIGMA Rome participants to meet their investment team, who will also be present at the conference stand. RedCore specialists will be delighted to meet and discuss potential partnerships with representatives of promising projects from November 3 to 6. RedCore invites anyone interested in investing in a business group that combines technology products and services for digital markets to visit booth 1045. RedCore at SIGMA Rome "SIGMA Rome is the perfect place to meet teams that are changing the future of technology. We are looking for projects in the areas of iGaming, MarTech, FinTech, Web3, AI/ML, and technology analytics," comments Ihor Denysov, COO Investments at RedCore. - We offer more than just financing; we provide projects with comprehensive expert support, operational resources, and integration into the infrastructure of an international business group. Our goal is not just to invest funds, but to become a catalyst for growth for ambitious projects." RedCore's investment division focuses on projects that have already moved from the MVP stage with market testing to readiness to scale and grow their business. The business group collaborates with teams and technologies that have a working MVP and demonstrate growth potential, offering not only capital but also a full range of support to accelerate growth. You can submit your project for consideration by the team via the link: Pitch your project to the RedCore team. Discuss the details at SIGMA Rome 2025 from November 3 to 6 at the booth 1045. See more breaking stories here. More about Irish Tech News Irish Tech News are Ireland's No. 1 Online Tech Publication and often Ireland's No.1 Tech Podcast too. You can find hundreds of fantastic previous episodes and subscribe using whatever platform you like via our Anchor.fm page here: https://anchor.fm/irish-tech-news If you'd like to be featured in an upcoming Podcast email us at Simon@IrishTechNews.ie now to discuss. Irish Tech News have a range of services available to help promote your business. Why not drop us a line at Info@IrishTechNews.ie now to find out more about how we can help you reach our audience. You can also find and follow us on Twitter, LinkedIn, Facebook, Instagram, TikTok and Snapchat.

Emily Glassberg Sands is the Head of Data & AI at Stripe where she leads the organization's efforts to build financial infrastructure for the internet & leverage AI to power Stripe's products. Stripe processes about $1.4 trillion in payments annually (~1.3% of global GDP), making it an exciting opportunity to apply AI & ML at scale. In this episode, Emily shares insights into how Stripe is using AI to solve complex problems like fraud detection, optimizing checkout experiences, & enabling new business models for AI companies. Emily also shares her economist perspective on market efficiency & how Stripe's focus on building economic infrastructure for AI is driving growth across the ecosystem.We discuss:* Stripe's domain-specific foundation model and “payments embeddings” that run inline on the charge path to detect sophisticated card-testing at scale (improved detection rates at large users from ~59% to ~97%).* The launch of the Agentic Commerce Protocol (ACP) with OpenAI, creating a shared standard for how businesses can expose products to AI agents which is used by Walmart and Sam's Club.* How Stripe is helping AI companies manage new fraud vectors, such as free trial and refund abuse, and the importance of real-time, outcome-based billing* The impact of AI on Stripe's internal operations, including the use of LLMs for code generation, merchant understanding, and internal tooling* Why many AI companies are going global day-one how Stripe's Link network (200M+ consumers) concentrates AI demand.* Whether we're in an AI bubble, why GDP hasn't reflected AI productivity gains yet, and how agentic commerce could expand consumption by removing time constraints for high-income consumers* Emily's perspective on the changing social contract around AI, the importance of deep thinking, and the role of brand and design in AI-driven products—Where to find Emily Sands* X: https://x.com/emilygsands* LinkedIn: https://www.linkedin.com/in/egsands/Where to find Shawn Wang* X: https://x.com/swyx* LinkedIn: https://www.linkedin.com/in/shawnswyxwang/Where to find Alessio Fanelli* X: https://x.com/FanaHOVA* LinkedIn: https://www.linkedin.com/in/fanahova/Where to find Latent Space* X: https://x.com/latentspacepodFull Show Notes: Full show notes: Get full access to Latent.Space at www.latent.space/subscribe

Stephen Ryu, a neurosurgeon and key figure in the Stanford Neuroprosthetics Lab joins Tjaša Zajc on Faces of Digital Health to demystify brain–computer interfaces (BCIs): how they work, why invasive systems outperform non-invasive ones, realistic use cases (motor control and speech), timelines and durability, safety and MRI trade-offs, cybersecurity, business models, and what Paradromics is building as a high-bandwidth BCI platform. Throughout, Stephen separates science fact from sci-fi, stressing near-term potential to restore communication and movement for people living with paralysis, while noting earlier-stage areas like mental health and pain. What we cover: - Invasive vs. non-invasive BCIs, and why electrode proximity to neurons matters for performance - Decoding motor intent and speech: training, language considerations, and LLM-enabled synthesis - Safety, surgery, and durability (why 10-year implant lifespans are a meaningful target) - MRI/CT compatibility trade-offs (and parallels to pacemakers/DBS) - Cybersecurity realities (what BCIs can not do today) - Business models, regulation, and reimbursement paths for medical-grade BCIs - Paradromics' differentiation: a high-bandwidth platform designed to scale across use cases - Future indications: pain, sensory restoration; earlier stage: mental health biomarkers - The human impact: restoring connection for people who can't move or speak Chapters: 01:37 How BCIs work; signals, decoding, invasive vs. non-invasive 07:13 Surgery basics, risks, and why proximity boosts performance 09:36 Decoding speech & language considerations 13:31 What's most advanced today: motor + speech 14:58 Mental health: biomarkers and why it's early 17:48 Longevity, MRI/CT limits, realistic replacement intervals 21:16 Patient perception: fear, performance, and value vs. alternatives 25:04 Paradromics' platform & high-bandwidth approach 29:22 Platform use cases by brain area (motor, auditory, etc.) 31:18 Cybersecurity: risks today vs. sci-fi 32:35 Business models, regulation, and access 36:42 Trials landscape; Paradromics' timeline 37:53 Biggest concerns: hype vs. reality 39:50 Three things everyone should know about BCIs 42:10 Potential in pain management 44:41 Role of AI/ML in decoding and assistive apps 46:36 Final thoughts www.facesofdigitalhealth.com Newsletter: https://fodh.substack.com/

 How AI is Changing Deals & Global Development with Jeff Kafka and Brian Rogers     Jeff Kafka Bay Area entrepreneur, cybersecurity startup founder, and medical device/supply chain import partner. Internationally renowned professional kiteboarder and big wave safety expert. Brian Rogers Design and business thinker, expert in AI/ML, IoT, big data, fintech, and platform development. Author of patents, guest lecturer, and industry leader in blockchain. Episode Summary In this episode, we dive deep into how technology, infrastructure, and strong personal networks converge to drive capital and growth in sectors from medical devices to public works. We speak with Jeff Kafka, the founder behind the famous Silicon Valley kite surfing pitch events, about the value of relationships in business growth, and with Brian Rogers, an expert in AI, IoT, and digital transformation, about the future of finance and government partnerships. We explore how their new venture, Storyboard Capital, focuses on opportunities in areas typically ignored by traditional tech investors. Key Discussion Points & Topics I. The Power of Relationships and Networking (Jeff Kafka) Kite Surfing Pitch Events: The origin story of the famous Silicon Valley kite surfing pitch events and the key lessons learned while observing early-stage companies raising capital. Missed Opportunities: Jeff shares his list of companies he met early on but passed on investing in, and the reasons why those opportunities were missed at the time. The Role of People: How Jeff's diverse career—from cybersecurity to big wave safety to medical supply chain—has consistently revolved around people and relationships. Business Growth: The crucial importance of relationships when scaling a business. II. Technology, Government, and Global Development (Brian Rogers & Jeff Kafka) Public/Private Partnerships (P3s): A detailed explanation of what Public/Private Partnerships are and how companies currently go about identifying these government opportunities. AI in Government Financing: How Artificial Intelligence can help streamline the process for companies to find and obtain government contracts. Technology for Development: How technology, public/private partnerships, and infrastructure development are creating opportunities in remote or "off the grid" areas globally. III. The Future of Finance and Investment Banking AI and Financing: How Jeff and Brian see AI changing the landscape for companies obtaining financing, particularly in how deals are sourced and structured. Investment Banker's Role: The evolving role of the investment banker in the future and how they will integrate AI into transaction processes. The Future of Outreach: How customized, AI-driven outreach will change the success or failure rates for projects and deal sourcing. Beyond the Interview: Key concepts related to AI that the audience should be thinking about moving forward. Learn More Storyboard Capital Website: https://storyboardcapital.com/ Jeff Kafka's Contact: Jeffkafka8@gmail.com Jeff Kafka's LinkedIn: https://www.linkedin.com/in/jeffkafka/ Brian Rogers' LinkedIn: https://www.linkedin.com/in/brogers/ Affiliate Companies: https://grapheene.com http://www.strongwatertech.com Disclaimer The views expressed on this podcast are for informational purposes only and not financial or legal advice. Consult with a professional for your specific situation and do not necessarily reflect the views of Finalis Inc. or Finalis Securities LLC, Member FINRA/SIPC.

Arctic Wolf's Dean Teffer reveals how they transformed security operations by processing one trillion daily alerts with AI, and shares hard-won lessons from operationalizing AI in production SOC environments Topics Include:Arctic Wolf processes one trillion security alerts daily across 10,000 global customersSecurity operations remained stubbornly human-mediated due to constantly evolving threats and infrastructure complexityDean explains why platformizing data creates a virtuous cycle enabling AI automationTraditional ML models couldn't handle SOC's situational complexity, leading to LLM adoptionArctic Wolf's unique advantage: direct access to 1000+ SOC analysts for continuous feedbackAWS partnership began with governance concerns about data privacy and model training"Centaur Chess" approach: AI-human teams consistently outperform either alone in cybersecurityThree-generation AI evolution: from personal use to prompt engineering to expert-tuned modelsThree-day AWS hackathon achieved breakthroughs that would've taken months independentlySOC analysts actively shaped AI responses through iterative feedback during live operationsObservability proved critical: tracking performance, quality metrics, and response times for continuous improvementMeasurable impact achieved: automated alert orientation dramatically increased analyst efficiency and response quality Participants:Dean Teffer - VP of AI/ML, Arctic WolfAswin Vasudevan - Senior ISV Solution Architect, Amazon Web ServicesSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

In this special live episode of The Data Minute, recorded in San Francisco, Peter is joined by Janelle Teng from Bessemer Venture Partners for a data-driven look at the state of AI fundraising.Peter and Janelle walk through the data on everything from the AI valuation premium to the new benchmarks for growth, breaking down Bessemer's "Supernovas" and "Shooting Stars" framework. They discuss why fundraising timelines have gotten longer, how dilution remains steady despite soaring valuations, and why San Francisco is still the undisputed center of the AI boom. Plus, they take questions from an audience of AI founders on everything from calculating TAM to navigating a potential AI bubble.This is your front-row seat to the conversation every AI founder needs to hear.The State of AI 2025 - Bessemer Venture Partners:https://www.bvp.com/atlas/the-state-of-ai-2025Subscribe to Carta's weekly Data Minute newsletter: https://carta.com/subscribe/data-newsletter-sign-up/Explore interactive startup and VC data, with Carta's Data Desk: https://carta.com/data-desk/01:03 – A look back: Venture funding since 202102:35 – Pre-ChatGPT vs. Post-ChatGPT funding waves04:18 – How long should your runway be today?04:54 – "Nail it before you scale it": The philosophy of efficient growth06:15 – The new reality of Seed-to-Series-A graduation rates07:31 – Is every software company now an AI company?09:27 – The AI valuation premium at the Seed stage11:14 – AI infrastructure vs. application layer companies13:06 – Bessemer's benchmarks: "Supernovas" vs. "Shooting Stars"14:36 – Why top-line growth can be misleading17:10 – Why retention is table stakes, but gross margins can wait21:12 – The new benchmark: Revenue per employee22:48 – Advice for founders who aren't a "Supernova"26:45 – Why dilution has remained steady at ~20%30:39 – Valuation is not a badge of honor—it's a hurdle33:20 – Why the Bay Area is still the center of the AI universe35:56 – The hiring slowdown and the rise of lean teams38:51 – The soaring cost of AI/ML engineering talent40:00 – Bessemer's key takeaways on the future of AI43:13 – Audience Q&A starts43:33 – Q1: How should founders think about calculating TAM?46:44 – Q2: As a frontier tech company, how do we compete with app-layer startups?48:48 – Q3: How do we compete against incumbents who are adding native AI features?51:31 – Q4: Should VCs back fewer "good" companies to chase the "Supernovas"?55:03 – Q5: Are we in an AI bubble, and when will it pop?This presentation contains general information only and eShares, Inc. dba Carta, Inc. (“Carta”) is not, by means of this publication, rendering accounting, business, financial, investment, legal, tax, or other professional advice or services, and is for informational purposes only.  This presentation is not a substitute for such professional advice or services nor should it be used as a basis for any decision or action that may affect your business or interests. © 2025 eShares, Inc., dba Carta, Inc. All rights reserved.

In this special edition of the Karma School of Business, Sean Mooney, Founder and CEO of BluWave, breaks down key findings from BluWave's Q3 2025 Private Equity Insights Report. Drawing parallels between his son's fencing lessons and today's economic climate, Sean explains how the best investors are shifting from a defensive stance to an offensive one. Seeing through the noise, leaning forward, and playing to win. He shares fresh data showing that deal activity, due diligence spending, and AI investment are all surging—signs of an industry on the offense. From the manufacturing renaissance to the rise of flatter, AI-enabled organizations, Sean offers a grounded, data-backed view of where private equity and the broader economy are heading next. Episode Highlights 1:07 – The Sport of Fencing and PE: what private equity can learn from shifting from defense to offense 4:40 – Why the U.S. economy is “good enough” and accelerating despite the noise 11:45 – Deal data shows confidence returning: due diligence projects up 43% year-over-year 14:33 – PE firms' AI and analytics demand surges 300% and 1,600% for AI/ML advisory 18:39 – Manufacturing reshoring, venture collaboration, and the next wave of innovation 21:06 – The coming of flatter, AI-enabled organizations and what it means for talent 25:39 – Sticky inflation, rate cuts, and why the next economic cycle is already underway   For more on BluWave, visit: https://www.bluwave.net/ To request the full Q3 2025 Insights Report, visit: https://www.bluwave.net/insights-report/

“If responses aren't near real-time, the bot won't feel human.” — Ruchir Brahmbhatt, Co-Founder & CTO, Ecosmob Ruchir Brahmbhatt, Co-Founder and CTO of Ecosmob, joined Doug Green, Publisher of Technology Reseller News, to discuss the engineering behind human-like voicebots—where milliseconds make the difference between a smooth conversation and a frustrating one. With more than 18 years in VoIP and AI/ML development, Ecosmob builds custom voicebots for MSPs, ITSPs, and UCaaS/CCaaS providers seeking real-time automation and compliance. Brahmbhatt outlined how Ecosmob's architecture achieves sub-second latency through: Python async orchestration for thousands of concurrent sessions Redis in-memory queues for ultra-low-latency streaming NVIDIA Canary ASR and Kokoro TTS for fast, natural speech llama.cpp LLM engine with dynamic quantization for efficient processing In a live healthcare demo, Ecosmob's voicebot scheduled an appointment in natural, human-like dialogue—with total round-trip latency under 600 milliseconds. Brahmbhatt emphasized that modern contact centers are shifting from IVRs to AI-driven self-service, and that on-prem and GDPR-compliant deployments are increasingly essential. Learn more at ecosmob.com.

We love to hear from our listeners. Send us a message.Welcome to Episode 113 of Cell & Gene: The Podcast. Host Erin Harris is joined by Thorsten Gorba, Ph.D., VP Process Development at Aspen Neuroscience to explore how the company is advancing the field of cell therapy manufacturing. Aspen Neuroscience stands at the forefront of integrating machine vision and AI/ML to assess induced pluripotent stem cell (iPSC) colony quality by offering a transformative approach to move beyond the subjective nature of manual evaluation. Dr. Gorba discusses how these technologies bolster reproducibility and scalability and help reduce variability in starting materials. He also covers the regulatory angle, including how the FDA is evaluating digital quality control tools. Subscribe to the podcast!Apple | Spotify | YouTube Visit my website: Cell & Gene Connect with me on LinkedIn

In this episode of From the Crows' Nest, host Ken Miller unpacks one of the key challenges with using  artificial intelligence and machine learning (AI/ML) in combat: How can human agents trust AI in a live, complex military operation?Jeff Druce, Senior Scientist, Human-Centered AI at  Charles River Analytics, is at the heart of trying to answer this question. Jeff says that neural networks are inherently opaque; a system can perform millions of computations in seconds with a user being in the dark of how a system arrived at a certain recommendation or action. He tells Ken that their RELAX (Reinforcement Learning with Adaptive Explainability) research effort aims to add ways that AI systems can explain their decision making to human operators. Jeff says that efforts to improve transparency and trust in these AI tools are key, arguing bottlenecks for AI use soon may not be from the technology plateauing but operators being unprepared and ill-equipped to effectively use this technology.To learn more about today's topics or to stay updated on EMSO and EW developments, visit our homepage.

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

Send us a textLeadership Development | Executive Career Track | Career Pivot | AWS | In this Femme Lead episode, Melanie McGrory, Director of the EMEA Tech team at Amazon Web Services, shares her unique career journey spanning cybersecurity, defense, and tech leadership. Known for her “zig-zag” career path, Melanie discusses pivotal moments of risk-taking, overcoming challenges in male-dominated industries, and the evolving nature of leadership in today's digital world.Melanie and her team at AWS support digital native companies and enterprises by enabling digital transformation, innovation, and new customer experiences. With expertise across 175+ AWS services, including AI/ML, migration, security, and hybrid cloud, Melanie is a recognized leader in driving business outcomes through technology.Before AWS, Melanie held leadership roles at HP and the UK Ministry of Defence, bringing two decades of experience in strategy, consulting, and general management across sectors such as travel, transport, logistics, and retail.A STEM advocate and veteran charity participant, Melanie holds a Bachelor's degree in Physics and Operational Research from the University of Cranfield. Tune in for career insights, leadership lessons, and practical advice for women forging paths in tech and beyond!Follow Melanie on LinkedIn: https://www.linkedin.com/in/melanie-mcgrory-4684757/

On-Device AI Agents in Production: Privacy, Performance, and Scale // MLOps Podcast #340 with NimbleEdge's Varun Khare, Founder/CEO and Neeraj Poddar, Co-founder & CTO.Join the Community: https://go.mlops.community/YTJoinInGet the newsletter: https://go.mlops.community/YTNewsletter// AbstractAI agents are transitioning from experimental stages to performing real work in production; however, they have largely been limited to backend task automation. A critical frontier in this evolution is the on-device AI agent, enabling sophisticated, AI-native experiences directly on mobile and embedded devices. While cloud-based AI faces challenges like constant connectivity demands, increased latency, privacy risks, and high operational costs, on-device breaks through these trade-offs.We'll delve into the practical side of building and deploying AI agents with “DeliteAI”, an open-source on-device AI agentic framework. We'll explore how lightweight Python runtimes facilitate the seamless orchestration of end-to-end workflows directly on devices, allowing AI/ML teams to define data preprocessing, feature computation, model execution, and post-processing logic independently of frontend code. This architecture empowers agents to adapt to varying tasks and user contexts through an ecosystem of tools natively supported on Android/iOS platforms, handling all the permissions, model lifecycles, and many more.// BioVarun KhareVarun is the Founder and CEO of NimbleEdge, an AI startup pioneering privacy-first, on-device intelligence. With an academic foundation in AI and neuroscience from UC Berkeley, MPI Frankfurt, and IIT Kanpur, Varun brings deep expertise at the intersection of technology and science. Before founding NimbleEdge, Varun led open-source projects at OpenMined, focusing on privacy-aware AI, and published research in computer vision.Neeraj PoddarNeeraj Poddar is the Co-founder and CTO at NimbleEdge. Prior to NimbleEdge, he was the Co-founder of Aspen Mesh, VP of Engineering at Solo.io, and led the Istio open source community. He has worked on various aspects of AI, networking, security, and distributed systems over the span of his career. Neeraj focuses on the application of open source technologies across different industries in terms of scalability and security. When not working on AI, you can find him playing racquetball and gaining back the calories spent playing by trying out new restaurants. // Related LinksWebsite: https://www.nimbleedge.com/https://www.nimbleedge.com/blog/why-ai-is-not-working-for-youhttps://www.nimbleedge.com/blog/state-of-on-device-aihttps://www.youtube.com/watch?v=Qqj_Nl2MihEhttps://www.linkedin.com/events/7343237917982527488/comments/~~~~~~~~ ✌️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 Varun on LinkedIn: /vkkhare/Connect with Neeraj on LinkedIn: /nrjpoddar/Timestamps:[00:00] On-device AI skepticism[02:47] Word suggestion for AI[06:40] Optimizing unique challenges[13:39] LLM on-device challenges[20:34] Agent overlord tension[23:56] AI app constraints[29:23] Siri limitations and trust gap[32:01] Voice-driven app privacy[35:49] Platform lock-in vs aggregation[42:26] On-device AI optimizations[45:38] Wrap up

In this episode of the podcast, members of the InfoQ editorial staff and friends of InfoQ discuss the current trends in the domain of AI, ML and Data Engineering. One of the regular features of InfoQ are the trends reports, which each focus on a different aspect of software development. These reports provide the InfoQ readers and listeners with a high-level overview of the topics to pay attention to this year. InfoQ AI, ML and Data Engineering editorial team met with external guests to discuss the trends in AI and ML areas, and what to watch out for the next 12 months. In addition to the written report and trends graph, this podcast provides a recording of a discussion where expert panelists discuss how innovative AI technologies are disrupting the industry. Read a transcript of this interview: http://bit.ly/4nRpvlF Subscribe to the Software Architects' Newsletter for your monthly guide to the essential news and experience from industry peers on emerging patterns and technologies: https://www.infoq.com/software-architects-newsletter Upcoming Events: InfoQ Dev Summit Munich (October 15-16, 2025) Essential insights on critical software development priorities. https://devsummit.infoq.com/conference/munich2025 QCon San Francisco 2025 (November 17-21, 2025) Get practical inspiration and best practices on emerging software trends directly from senior software developers at early adopter companies. https://qconsf.com/ QCon AI New York 2025 (December 16-17, 2025) https://ai.qconferences.com/ QCon London 2026 (March 16-19, 2026) https://qconlondon.com/ The InfoQ Podcasts: Weekly inspiration to drive innovation and build great teams from senior software leaders. Listen to all our podcasts and read interview transcripts: - The InfoQ Podcast https://www.infoq.com/podcasts/ - Engineering Culture Podcast by InfoQ https://www.infoq.com/podcasts/#engineering_culture - Generally AI: https://www.infoq.com/generally-ai-podcast/ Follow InfoQ: - Mastodon: https://techhub.social/@infoq - X: https://x.com/InfoQ?from=@ - LinkedIn: https://www.linkedin.com/company/infoq/ - Facebook: https://www.facebook.com/InfoQdotcom# - Instagram: https://www.instagram.com/infoqdotcom/?hl=en - Youtube: https://www.youtube.com/infoq - Bluesky: https://bsky.app/profile/infoq.com Write for InfoQ: Learn and share the changes and innovations in professional software development. - Join a community of experts. - Increase your visibility. - Grow your career. https://www.infoq.com/write-for-infoq

Jimmy Secretan, CTO of JustWin, explores the latest innovations in privacy-preserving neural networks, and explains how JustWin is leveraging AI to help small businesses win government contracts. He also explores the future directions of AI, and the impact of AI on user autonomy and privacy. Key Takeaways: Technological advancements shaping the future of secure and ethical AI applications The significance of open-endedness in AI How to build while balancing both innovation and privacy Why AI solutions are a good fit for winning RFPs GPT-5 and predictions for its future impact Guest Bio: Jimmy Secretan, CTO of JustWin, holds a Ph.D. from the Machine Learning Lab at the University of Central Florida, where he specialized in large-scale, privacy-safe neural networks. Having previously served as Chief Scientist at Korrelate, VP of Engineering of Sonobi, and CTO of Roadtrippers, Jimmy has architected privacy-safe AI/ML data pipelines, scaled infrastructure to hundreds of billions of requests per month to power predictive media planning, and led the creation of the AI-driven future of travel data. As VP of Ads and Premium Services at Brave, Jimmy helped launch Brave's global private ad network; led the development of premium functionality for the Brave browser; and managed initiatives like Brave News and Brave Talk. ---------------------------------------------------------------------------------------- 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  

What if the biggest value of AI isn’t answers, but better questions? For Morgan Brown, Vice President of Product and Growth at Dropbox, that realisation has transformed everything from family dinners to global product strategy. In this episode, I chat with Morgan about how he uses AI as both a problem-solver and a sparring partner. Morgan leads Dropbox’s AI products, but he’s also built his own app from scratch - with no coding background - to help his six-year-old son manage type 1 diabetes. We dive into how Morgan uses AI to eliminate grunt work, create powerful prompts, and even stress test his own ideas. This conversation will show you practical ways to turn AI into a genuine partner for your work and life. We discuss: The story behind CARB Scan, the AI-powered app Morgan built to help his son manage diabetes How he uses AI to eliminate shallow work, like meeting recaps and email sorting Why designing prompts is a superpower—and Morgan’s framework for writing great ones The automation Morgan built to scan and summarise the entire AI/ML landscape every morning How to use AI as a true thought partner for brainstorming, strategy, and decision-making The risks of skipping human feedback and why real-world validation still matters Morgan’s advice for spotting your own hidden time sinks and turning them into AI experiments Key Quotes “LLMs aren’t the best search engine. They’re much better as a thought partner.” “The real leverage of AI isn’t the answers. It’s the better questions.” Connect with Morgan Brown on X (Twitter), LinkedIn, and his website https://www.morganbrown.co/ Check out Morgan’s book Hacking Growth. Get your hands on Morgan’s AI research prompt here. If you enjoyed this, listen to my episode with Bob Johansen - we talked about reframing AI as “augmented intelligence,” and it pairs beautifully with Morgan’s approach. My latest book The Health Habit is out now. You can order a copy here: https://www.amantha.com/the-health-habit/ Connect with me on the socials: Linkedin (https://www.linkedin.com/in/amanthaimber) Instagram (https://www.instagram.com/amanthai) If you are looking for more tips to improve the way you work and live, I write a weekly newsletter where I share practical and simple to apply tips to improve your life. You can sign up for that at https://amantha-imber.ck.page/subscribe Visit https://www.amantha.com/podcast for full show notes from all episodes. Get in touch at amantha@inventium.com.au Credits: Host: Amantha Imber Sound Engineer: The Podcast Butler See omnystudio.com/listener for privacy information.

Guests are Clayton Coleman and Rob Shaw. Clayton is a Core contributor to Kubernetes, the containerized cluster manager, and founding architect for OpenShift, the open source platform as a service. Clayton helped launch the shift to cloud native applications and the platforms that enable them. At Google my mission is to make Kubernetes and GKE the best place to run workloads, especially accelerated AI/ML workloads, and especially especially very large model inference at scale with the inference gateway and llm-d. Rob Shaw is an Engineering Director at Redhat and is a contributor to the vLLM project.   Do you have something cool to share? Some questions? Let us know: - web: kubernetespodcast.com - mail: kubernetespodcast@google.com - twitter: @kubernetespod - bluesky: @kubernetespodcast.com   News of the week Kubernetes 1.34 is expected to release end of August Kubecrash.io: A platform Eng conference with a purpose CNCF top 30 project of 2025 Links from the interview LLM-D KubeCon EU 25 Keynote: LLM-Aware Load Balancing in Kubernetes WG Serving vLLM Disaggregated Prefilling LWS: LeaderWorkerSet

Haseeb Budhani (@haseebbudhani, CEO @rafaysystemsinc) discusses the evolution from traditional DevOps to platform engineering and what "Enterprise Ready" Kubernetes looks like in 2025. We explore AI workloads running on Kubernetes and how modern orchestration solutions can transform teams from bottlenecks into enablers. We also cover the security considerations for GPU-enabled AI workloads and balancing developer self-service capabilities with proper governance and control.SHOW: 950SHOW TRANSCRIPT: The Cloudcast #950 TranscriptSHOW VIDEO: https://youtube.com/@TheCloudcastNET NEW TO CLOUD? CHECK OUT OUR OTHER PODCAST: "CLOUDCAST BASICS"SPONSORS:[DoIT] Visit doit.com (that's d-o-i-t.com) to unlock intent-aware FinOps at scale with DoiT Cloud Intelligence.[VASION] Vasion Print eliminates the need for print servers by enabling secure, cloud-based printing from any device, anywhere. Get a custom demo to see the difference for yourself.SHOW NOTES:Rafay websiteTopic 1 - Welcome to the show, Haseeb. Give everyone a quick introduction.Topic 2 - Let's start by talking about the evolution of Kubernetes as a platform. You've said and we've talked about on this show for some time how Kubernetes is more of a platform to run platforms. We've also seen trends in the industry and shifts in what it means to be DevOps or Platform Engineering in recent years. You've positioned Rafay as a Kubernetes Operations Platform that's now evolved into a Cloud Automation Platform. How do you define the difference between Kubernetes management and true platform engineering?Topic 3 - What does “Enterprise Ready” Kubernetes look like in 2025?Topic 4 - Let's flip over to AI/ML and GPUs with Kubernetes for a bit. Many developers and data scientists aren't aware of the underlying platform they run on. I saw a stat recently that about 95% of AI runs on Kubernetes, either on-prem or in the cloud. Despite this, Platform teams are often stuck doing manual GPU provisioning, which doesn't scale with AI adoption. How do modern GPU orchestration solutions change the platform team's role?Topic 5 - With GPU workloads often handling sensitive data and AI models, security becomes even more critical. How should organizations approach security and compliance in their GPU-enabled Kubernetes operations?Topic 6 - "Most developers don't want to write YAML or manage clusters — they just want to ship software." How do you balance giving developers the self-service capabilities they want while maintaining the control and governance that platform teams need?FEEDBACK?Email: show at the cloudcast dot netBluesky: @cloudcastpod.bsky.socialTwitter/X: @cloudcastpodInstagram: @cloudcastpodTikTok: @cloudcastpod