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On this episode of Crazy Wisdom, I, Stewart Alsop, sit down with Sweetman, the developer behind on-chain music and co-founder of Recoup. We talk about how musicians in 2025 are coining their content on Base and Zora, earning through Farcaster collectibles, Sound drops, and live shows, while AI agents are reshaping management, discovery, and creative workflows across music and art. The conversation also stretches into Spotify's AI push, the “dead internet theory,” synthetic hierarchies, and how creators can avoid future shock by experimenting with new tools. You can follow Sweetman on Twitter, Farcaster, Instagram, and try Recoup at chat.recoupable.com.Check out this GPT we trained on the conversationTimestamps00:00 Stewart Alsop introduces Sweetman to talk about on-chain music in 2025.05:00 Coins, Base, Zora, Farcaster, collectibles, Sound, and live shows emerge as key revenue streams for musicians.10:00 Streaming shifts into marketing while AI music quietly fills shops and feeds, sparking talk of the dead internet theory.15:00 Sweetman ties IoT growth and shrinking human birthrates to synthetic consumption, urging builders to plug into AI agents.20:00 Conversation turns to synthetic hierarchies, biological analogies, and defining what an AI agent truly is.25:00 Sweetman demos Recoup: model switching with Vercel AI SDK, Spotify API integration, and building artist knowledge bases.30:00 Tool chains, knowledge storage on Base and Arweave, and expanding into YouTube and TikTok management for labels.35:00 AI elements streamline UI, Sam Altman's philosophy on building with evolving models sparks a strategy discussion.40:00 Stewart reflects on the return of Renaissance humans, orchestration of machine intelligence, and prediction markets.45:00 Sweetman weighs orchestration trade-offs, cost of Claude vs GPT-5, and boutique services over winner-take-all markets.50:00 Parasocial relationships with models, GPT psychosis, and the emotional shock of AI's rapid changes.55:00 Future shock explored through Sweetman's reaction to Cursor, ending with resilience and leaning into experimentation.Key InsightsOn-chain music monetization is diversifying. Sweetman describes how musicians in 2025 use coins, collectibles, and platforms like Base, Zora, Farcaster, and Sound to directly earn from their audiences. Streaming has become more about visibility and marketing, while real revenue comes from tokenized content, auctions, and live shows.AI agents are replacing traditional managers. By consuming data from APIs like Spotify, Instagram, and TikTok, agents can segment audiences, recommend collaborations, and plan tours. What once cost thousands in management fees is now automated, providing musicians with powerful tools at a fraction of the price.Platforms are moving to replace artists. Spotify and other major players are experimenting with AI-generated music, effectively cutting human musicians further out of the revenue loop. This shift reinforces the importance of artists leaning into blockchain monetization and building direct relationships with fans.The “dead internet theory” reframes the future. Sweetman connects IoT expansion and declining birth rates to a world where AI, not humans, will make most online purchases and content. The lesson: build products that are easy for AI agents to buy, consume, and amplify, since they may soon outnumber human users.Synthetic hierarchies mirror biological ones. Stewart introduces the idea that just as cells operate autonomously within the body, billions of AI agents will increasingly act as intermediaries in human creativity and commerce. This frames AI as part of a broader continuity of hierarchical systems in nature and society.Recoup showcases orchestration in practice. Sweetman explains how Recoup integrates Vercel AI SDK, Spotify APIs, and multi-model tool chains to build knowledge bases for artists. By storing profiles on Base and Arweave, Recoup not only manages social media but also automates content optimization, giving musicians leverage once reserved for labels.Future shock is both risk and opportunity. Sweetman shares his initial rejection of AI coding tools as a threat to his identity, only to later embrace them as collaborators. The conversation closes with a call for resilience: experiment with new systems, adapt quickly, and avoid becoming a Luddite in an accelerating digital age.
In episode 288 of FNO: InsureTech, Cameron MacArthur, Founder and CEO of AI Insurance, returns to share how his company, operating for over seven years, has navigated dramatic changes in insurance through the practical application of artificial intelligence. Drawing on experiences since Y Combinator in 2019, Cameron discusses the platform's growth to more than 100 specialty and commercial insurance programs, and offers specific examples where AI replaces manual tasks, such as data extraction and invoice processing. The conversation also addresses the shifting insurance landscape, evolving customer expectations, and the leadership challenges of adopting automation while retaining vital insurance expertise. Key Highlights AI Insurance recorded 150% growth in the past year, now supporting more than 100 programs for MGAs, MGUs, captives, and risk retention groups. Cameron describes AI's effectiveness in automating loss-run data import, handling invoices, and migrating complex data—with internal tests and client experiences indicating accuracy and time savings compared to manual processes. The rise of MGAs and MGUs is reshaping the market, with premium volume in this sector doubling since 2020, while traditional carriers and captives remain static or decline. Modern SaaS and AI solutions have reduced the barriers and costs of launching insurance programs, enabling new entities to go live in weeks rather than months. Cameron details a significant change in client expectations: prospects increasingly seek direct access to AI, APIs, and custom tooling, reflecting greater technical familiarity within insurance operations. Leadership must recognize and address staff concerns as automation alters job scopes, emphasizing the need for communication, retraining, and a continued focus on deep insurance knowledge. Cameron shares personal perspectives on the ongoing complexity of insurance, the rewards of continued learning, and the realities of leading sustainable growth. Special Offer: Use our coupon code ITCFNO200 to get $200 OFF your ITC Vegas pass! See you in Vegas!
With quantum computers threatening to compromise today's encryption in just a few years, businesses around the world are working to audit and remediate their exposure. Global bank Santander bank began its quantum computing audit program by first acknowledging a core problem: they didn't actually know what cryptography they were using across their systems. To address this, Santander Global Tech head of quantum tech Mark Carney told a recent SANS Institute conference, the bank launched a discovery exercise, mapping out cryptographic assets and aligning them with evolving standards. They partnered with Microsoft and GitHub to extend CodeQL, enabling static code analysis that could identify weak or outdated cryptography hidden in code, despite variations in naming and APIs. In parallel, they built dynamic monitoring tools using eBPF, which allowed them to tap into network traffic, extract cipher suites, handshake details, and key usage, and then aggregate the data. This revealed, for example, that about a quarter of traffic in their lab environment was already negotiating hybrid post quantum computing (PQC) connections. You can listen to all of the Quantum Minute episodes at https://QuantumMinute.com. The Quantum Minute is brought to you by Applied Quantum, a leading consultancy and solutions provider specializing in quantum computing, quantum cryptography, quantum communication, and quantum AI. Learn more at https://AppliedQuantum.com.
In this episode, we highlight the latest hotel openings, expansions, and leadership changes worldwide, from JW Marriott Tokyo's debut to Shilla Monogram Gangneung's launch, while exploring how APIs and autonomous distribution are transforming hotel operations and guest experiences.Are you new and want to start your own hospitality business?Join our Facebook groupFollow Boostly and join the discussion:YouTube LinkedInFacebookWant to know more about us? Visit our websiteStay informed and ahead of the curve with the latest insights and analysis.
In this BTP Short, Dr. Dewey Caron shares another of his “audio postcards,” this time exploring the critical role of fat bees—also known as diutinus bees—in helping colonies survive winter. Dewey explains how these long-lived worker bees differ from their summer sisters, with enlarged fat bodies, higher protein reserves, and lower juvenile hormone levels, all tied to the key blood protein vitellogenin. Drawing on published research papers, Dewey highlights how environmental cues such as declining pollen, temperature, and daylight trigger the production of winter bees, and how clustering helps colonies thermoregulate through the cold months. He emphasizes that strong, heavy colonies going into winter are far more likely to survive than weak or light ones. For beekeepers, Dewey stresses the importance of continuous Varroa control throughout the season, fall feeding to ensure sufficient carbohydrate and protein stores, and combining weaker units when necessary. He also discusses drone eviction, stock influences, and climate change modeling that suggests warmer falls may disrupt the balance of winter bee production and survival. This episode provides science-based insights and practical recommendations to help beekeepers communicate with their colonies—ensuring not only fat bees, but fat, well-prepared colonies for overwintering success. Websites and Links mention in the episode: Döke, Mehmet A. M. Frazier, and C. Grozinger, 2015 “Overwintering honey bees: biology and management,” Current Opinion in Insect Science. Mehmet Ali Döke, Christina M. Grozinger. 2017. Pheromonal control of overwintering physiology and success in honey bees (Apis mellifera, L.) Döke, Mehmet Ali, CM McGrady, M. Otieno, CM Grozinger, M Frazier. 2019. Colony size, rather than geographic origin of stocks, predicts overwintering success in honey bees (Hymenoptera: Apidae) in the Northeastern United States. J. Econ. Entomology 112 (2), 525-533, DOI: 10.1093/jee/toy377 Stephanie Feliciano-Cardona, †Mehmet Ali Döke, Janpierre Ale man,Jose Luis Agosto-Rivera. Christina M. Grozinger and Tugrul Giray 2020. Honey Bees in the Tropics Show Winter Bee-Like Longevity in Response to Seasonal Dearth and Brood Reduction. Front. Ecol. Evol., 8. https://doi.org/10.3389/fevo.2020.571094 Somerville, Doug (2005) Fat Bees Skinny Bees, A manual on honey bee nutrition for beekeepers., Australia. Available on the Web at https://www.agrifutures.com.au/wp-content/uploads/publications/05-054.pdf https://rirdc.infoservices.com.au/downloads/05-054 Kirti Rajagopalan, Gloria DeGrandi-Hoffman, Matthew Pruett, Vincent P. Jones, Vanessa Corby-Harris, Julien Pireaud, Robert Curry, Brandon Hopkins & Tobin D. Northfield. 2024. Warmer autumns and winters could reduce honey bee overwintering survival with potential risks for pollination services. Scientific Reports volume 14, Article number: 5410 (2024) For homework Ashley L. St. Clair , Nathanael J. Beach, Adam G. Dolezal. 2022. Honey bee hive covers reduce food consumption and colony mortality during overwintering. Plos One. https://doi.org/10.1371/journal.pone.0266219 SBGM videos: https://mail.google.com/mail/u/0/#inbox/FMfcgzQcpKmXBhglCpthGSBzvHVLlSfp Brought to you by Betterbee – your partners in better beekeeping. ______________ Betterbee is the presenting sponsor of Beekeeping Today Podcast. Betterbee's mission is to support every beekeeper with excellent customer service, continued education and quality equipment. From their colorful and informative catalog to their support of beekeeper educational activities, including this podcast series, Betterbee truly is Beekeepers Serving Beekeepers. See for yourself at www.betterbee.com Copyright © 2025 by Growing Planet Media, LLC
Americans give nearly half a trillion dollars to charity each year—over 2% of GDP. Yet despite this massive scale, charitable giving remains stuck in the past, dominated by donor-advised funds marketed exclusively to the wealthy and clunky processes that make generosity harder than it should be. Today I'm joined by Adam Nash, co-founder and CEO of Daffy, a modern platform that's democratizing charitable giving through technology. Adam brings decades of experience building consumer fintech products as the former CEO of Wealthfront and in leadership roles at LinkedIn, Dropbox, and eBay. During the pandemic, he recognized that while fintech had revolutionized how we save and invest, charitable giving had been largely untouched by innovation. We'll explore why Adam left Wealthfront to tackle charitable giving, how Daffy's membership-based model differs from traditional approaches, and why he believes donor-advised funds will soon be as common as 401ks. Adam will share insights on tax-advantaged giving as more people hold appreciated assets like stock and crypto, how Daffy is incorporating AI, and why they've opened their APIs to partners like Betterment and Robinhood.
In this episode we are joined by Kenneth Auchenberg, Partner at AlleyCorp — one of New York's most prolific early-stage funds known for incubating companies like MongoDB, Business Insider, and Radical AI.Kenneth's journey from coding at 16 in Copenhagen to shaping global developer ecosystems at Stripe and Microsoft gives him a unique lens into the next generation of software businesses — and the rise of AI agents.
I sat down with Leo de Araujo, Head of Global Business Innovation at Syntax Systems, to unpack a problem every SAP team knows too well. Years of enhancements and quick fixes leave you with custom code that nobody wants to document, a maze of SharePoint folders, and hard questions whenever S/4HANA comes up. What does this program do. What breaks if we change that field. Do we have three versions of the same thing. Leo's answer is Syntax AI CodeGenie, an agentic AI solution with a built-in chatbot that finally treats documentation and code understanding as a living part of the system, not an afterthought. Here's the thing. CodeGenie automates the creation and upkeep of custom code documentation, then lets you ask plain-language questions about function and business value. Instead of hunting through 40-page PDFs, teams can ask, “Do we already upload sales orders from Excel,” or “What depends on this BAdI,” and get an instant explanation. That changes migration planning. You can see what to keep, what to retire, and where standard capabilities or new extensions make more sense, which shortens the path to S/4HANA Cloud and helps you stay on a clean core. We also talk about how this is delivered. CodeGenie runs on SAP Business Technology Platform, connects through standard APIs, and avoids intrusive add-ons. It is compatible with SAP S/4HANA, S/4HANA Cloud Private Edition through RISE with SAP, and on-premises ECC. Security comes first, with tenant isolation for each customer and no custom code shared externally or used for AI model training. The result is a setup that respects enterprise guardrails while still giving developers and architects fast answers. Clean core gets a plain explanation in this episode. Build outside the application with published APIs, keep upgrades predictable, and innovate at the edge where you can move quickly. CodeGenie gives you the visibility to make that real, surfacing what you actually run today and how it ties to outcomes, so you can design a migration roadmap that fits the business rather than guessing from stale documents. Leo also previews the Gen AI Starter Pack, launching September 9. It bundles a managed, model-flexible platform with workshops, use-case ideation, and initial builds, so teams can move from curiosity to working solutions without locking themselves into a single provider. Paired with CodeGenie and Syntax's development accelerators, the Starter Pack points toward something SAP leaders have wanted for years, a practical way to shift from in-core customizations to clean-core extensions with much less friction. If you are planning S/4HANA, balancing hybrid and multi-cloud realities, or simply tired of tribal knowledge around critical programs, this conversation is for you. We get specific about how CodeGenie works, where it saves time and cost, and how Syntax is shaping a playbook for AI that helps teams deliver results they can trust. ********* Visit the Sponsor of Tech Talks Network: Land your first job in tech in 6 months as a Software QA Engineering Bootcamp with Careerist https://crst.co/OGCLA
Kwindla “Kwin” Kramer is the CEO and Co-founder of Daily, a leading real-time video platform that provides APIs for integrating audio, video, and AI into apps. Under his leadership, Daily has powered millions of video and voice minutes each month for clients like AWS, Google, Epic, and Nvidia, and is recognized as a Y Combinator Top Company. An MIT Media Lab alumnus, Kwin previously co-founded Oblong Industries, creator of the gesture-based interfaces seen in Minority Report. He is passionate about advancing distributed systems and AI to shape the future of telehealth, education, and conversational technology. In this episode… Imagine a virtual assistant that not only schedules your appointments but also remembers every detail of past interactions — across healthcare, education, and even gaming. What if seamless real-time audio, video, and AI tools could elevate these experiences for everyone, not just the tech elite? How did the journey of making this technology accessible to millions actually unfold? Kwin Kramer pioneered developer infrastructure that makes embedding real-time audio, video, and AI into products simple and scalable. Drawing on his experience at Y Combinator and Oblong Industries, he learned to bridge the gap between imagination and reality for companies such as Boeing and GE. With Daily, Kwin shifted to empowering startups in telehealth, edtech, and more with open, scalable tools. His work enables doctors, teachers, and other professionals to harness AI and real-time media, signaling a future where AI copilots transform daily life. In this episode of the Inspired Insider Podcast, Dr. Jeremy Weisz interviews Kwin Kramer, CEO and Co-founder of Daily. They explore the evolution of developer tools, lessons from Y Combinator, and how open-source ecosystems are shaping healthcare, education, and more. The conversation covers how Daily powers telehealth, adaptive learning, and conversational agents; the shift from custom demos to scalable APIs; and why the future of software is voice-first and deeply personalized.
AI that talks is easy, but AI that acts securely is where everything breaks down. We're joined by Alex Salazar, CEO of Arcade, to confront the massive and often underestimated gap between a flashy AI demo and a production-ready system. Drawing from his team's own pivot from building agents to building the tools that secure them, he explains why a working demo is only 1% of the journey. Alex breaks down the four "demo killers" that cause most agent projects to fail: inconsistency, security flaws, prohibitive costs, and high latency.Alex reveals the counterintuitive solution his team discovered: the key to making non-deterministic AI reliable is to dial up determinism. Learn why giving an AI a constrained set of intention-based tools - like a calculator or a multiple-choice test - dramatically reduces errors and solves critical security challenges that plague open-ended systems. He explains why you can't just wrap existing APIs and must instead build custom, workflow-centric tools for your agents. This is an essential listen for anyone who wants to build AI that doesn't just talk, but acts securely on behalf of your users.Check out:Register now: Closing the AI gap: Exceeding executive expectations for AI productivityFollow the hosts:Follow BenFollow AndrewFollow today's guest(s):Learn more about Arcade: Arcade.devArcade's YouTube Channel: Watch examples and walkthroughs on building agentsConnect with Alex Salazar: LinkedInReferenced in today's show:Google avoids break-up but must share data with rivals Welcoming The Browser Company to Atlassian "~40% of daily code written at Coinbase is AI-generated. I want to get it to >50% by October." on X Crushing JIRA tickets is a party trick, not a path to impact Support the show: Subscribe to our Substack Leave us a review Subscribe on YouTube Follow us on Twitter or LinkedIn Offers: Learn about Continuous Merge with gitStream Get your DORA Metrics free forever
In order to protect, scale, and optimize a real estate business, you need systems. Tech-powered systems. AI-enhanced systems.In our second Techtember episode, Chief Operating Officer Camila Rivera and Operations Manager Julia O'Buckley give you insights into the evolution of tech stacks that don't just enhance efficiency - they also drive agent success.CRM transitions. Open APIs. Enhanced visibility. Efficiency gains for agents and teams alike.It's all here in just under 20 minutes with Camila, then just under 20 minutes with Julia.Enjoy our second Techtember episode … here on Real Estate Team OS!CAMILA RIVERAA 10-year team member and COO of the Laurie Finkelstein Reader Real Estate Team in South Florida, Camila Rivera has overseen significant evolutions in their technology, efficiency, and visibility.Camila breaks down key steps in that evolution, including tips for a successful CRM transition and the one thing that can't be automated or artificially generated (spoiler: it's human connection and it shows up in their online reviews).Watch or listen for insights into:Digitizing operations, getting more out of your current tech investments, and improving your sales pipelineSpecific steps and tips for transitioning from one CRM to another (and bringing 100,000+ contacts with you)How open APIs improve data and communication flows, enhance visibility for operations staff and leadership, and deliver efficiency gains to agentsWhen human touch matters most and how tech efficiency supports itJULIA O'BUCKLEYWhen she joined The Laughton Team, Julia O'Buckley wasn't sure what an API was or how it worked. Today, as Operations Manager, she's a “full-fledged 10” when it comes to tech knowledge and passion.Julia walks us through the four key elements of a tech stack that supports a +200-agent, 5-office operation and explains how and why she's re-packaging and re-selling it to agents. She also explains how her efforts add efficiency, improve data integrity, provide transparency, and unlock sales.Watch or listen for insights into:How her familiarity with and passion for tech grew, what tech changes delivered great agent feedback, and a non-real-estate app she opens every dayHow Follow Up Boss, Sisu, Fello, and HouseWhisper help agents and how she would describe that value to agentsWhich tools are the “base” of the operation, the “sexiest” in the stack, and like “Homebot on steroids”How the team humanizes their AI assistant “Nora” and how it brings all the other tools and tech togetherFOLLOW UP AND LEARN MOREMentioned in this episode:→ First episode with Julia O'Buckley https://www.realestateteamos.com/episode/real-estate-tech-stack-scale-operations-julia-obuckley→ Inside The Laughton Team series https://www.youtube.com/playlist?list=PLCJiXNo93cVr9Oc0ptse5z6Vaq5l0T1kA→ George Laughton and Billy Hobbs https://www.realestateteamos.com/episode/profitability-durability-real-estate-team-george-laughton-billy-hobbs→ Justin McLellan https://www.realestateteamos.com/episode/real-estate-agent-productivity-skill-justin-mclellan→ Follow Up Boss Success Community https://www.facebook.com/groups/followupbosscommunity→ Follow Up Boss https://www.followupboss.com/→ Dotloop https://www.dotloop.com/→ Sisu https://sisu.co/→ Fello https://fello.ai/→ HouseWhisper https://www.housewhisper.ai/Connect with Camila Rivera:→ https://www.instagram.com/camila_rivera/→ https://www.instagram.com/lauriefinkelsteinreaderteam/→ Email: camila at lauriereader dot comConnect with Julia O'Buckley:→ https://www.instagram.com/juliaobuckley/→ https://www.instagram.com/laughtonteamConnect with Real Estate Team OS:→ https://www.realestateteamos.com→ https://linktr.ee/realestateteamos→ https://www.instagram.com/realestateteamos/
Como uma fintech à beira da falência virou a solução de pagamentos do Nubank?No palco do ACE Summit 2025, Pedro Waengertner conversa com Alan Chusid, fundador da SpinPay — hoje NuPay for Business — sobre uma jornada que parece saída de um MBA na prática. De uma startup que nascia com erros (e coragem) à saída estratégica para o Nubank em 2021, ele compartilha insights que toda pessoa que empreende deveria escutar.Alan compartilha como foi:
In this episode of the Always Be Testing podcast, Peter Denton—a seasoned growth and marketing leader with a 25+ year career in startups, product experimentation, and marketing innovation—shares a wealth of insights from his journey through the dot-com boom to leading growth at XMTP and previously Pioneer Square Labs.Peter discusses how to de-risk startups before launch, leverage APIs and data for faster insights, and adapt to changing marketing landscapes driven by AI, privacy, and emerging tech like blockchain and quantum security. From the rise of agents and protocols to the future of messaging platforms, Peter offers a masterclass on building, testing, and scaling products in today's fast-moving world.
What's up everyone, today we have the pleasure of sitting down with Olga Andrienko, Former VP of Marketing Ops at Semrush. (00:00) - Intro (01:24) - In This Episode (03:55) - How AI Agents Reshape Marketing Ops Roles (08:53) - How To Beat AI Imposter Syndrome And Start Using Custom GPTs (13:28) - How AI Content Agents Generate Drafts Using Internal Context (24:29) - How to Use a Risk and Reward Grid to Prioritize AI Projects (33:19) - How To Use Google Workspace To Skip AI Vendor Approvals (40:00) - How To Decide Which AI Agent to Use (46:44) - How To Build an AI-First Reflex in Marketing Ops (51:59) - AI's Endgame: Play-to-Earn and Mandatory Human Quotas (01:03:58) - What Happens When You Optimize Your Body Like a Martech Stack Summary: Olga thought she was ahead of the AI curve, but a weekend course on autonomous systems showed her she was thinking too small. She pitched a shared internal AI stack at Semrush, built systems off APIs, skipped procurement by using already-approved tools, and tracked hours saved instead of promising vague ROI. She started with the work she already knew, made it faster, and used that time to build better systems. Now she's looking ahead, watching work blur into participation, prepping for human quotas, and making sure ops teams aren't caught off guard while the rest of the company is still testing prompts.About OlgaOlga Andrienko spent nearly 12 years at Semrush, where she helped build one of the strongest B2B marketing brands in tech. She started by leading social media, then expanded into global marketing, eventually becoming VP of Brand and later VP of Marketing Operations. She helped guide the company through its IPO, launched brand campaigns that drove massive reach, and scaled AI systems that saved her teams hundreds of hours. Most recently, she built out a marketing and AI ops function from scratch, automating reporting, content feedback, and influencer analytics across the org. Recently, Olga announced she was leaving Semrush to go out on her own. She's now building a marketing SaaS product while advising companies on how to use AI agents to rethink marketing operations from the inside out.How AI Agents Reshape Marketing Ops RolesOlga had already logged countless hours with Claude and ChatGPT. She was building chatbots, fine-tuning prompts, and staying sharp on every update. Then she joined a weekend course on agent-based AI. At first, it felt like overkill. By the end of day two, she had completely changed direction. That course forced her to realize she had been spending time in the shallow end. Agent AI wasn't just a smarter assistant. It was a structural overhaul. It changed what could be automated and who was needed to do it.Agent AI builds systems instead of just responding to inputs. Olga described a clean divide between tools that help you finish tasks faster and agents that actually run the tasks for you. How agent AI differs from task-level tools:Traditional tools require manual input for each useAgent systems operate autonomously and initiate actionsTools accelerate individual workAgents orchestrate end-to-end processesTools help you move fasterAgents help you step away entirelyShe saw use cases stacking up that didn't fit inside marketing's current playbook. Systems could now operate without manual checkpoints. Processes that once relied on operators could be built into fully autonomous loops.“I went into panic mode. Even with our tech stack at Semrush, I realized we were behind. Every company is behind.”The realization came with a cost model. Internal adoption of Claude and ChatGPT was rising fast. Olga noticed growing subscription bills across teams, with everyone spinning up individual accounts. She ran the numbers and saw the future expense curve. Giving each person their own sandbox didn't scale. What made sense was building shared tools through APIs, designed to solve repeatable tasks. That way you can maintain quality, cut costs, and still give everyone access to powerful AI systems.Timing mattered. Olga was coming off a quarter where she had high visibility, internal trust, and a direct line to leadership. Instead of waiting for AI priorities to come down from the top, she used that leverage to move. She pitched a new team and made the case for shifting from brand to ops. She had technical interest, political capital, and an urgent belief that velocity mattered more than perfection.Key takeaway: Marketing ops leaders are uniquely positioned to build agent-level systems that scale across teams. Instead of waiting for strategy teams to greenlight AI plans, use cost data to make the case for shared infrastructure. Build with APIs, not individual tool access. Push for automation at the system level, not just task-level assistance. If you understand the workflows, know the tools, and already have trust inside the org, you are the one who should be building what comes next.How To Beat AI Imposter Syndrome And Start Using Custom GPTsAI imposter syndrome shows up fast. It tells you the developers will handle it, the data team will figure it out, and you should stick to writing copy or launching campaigns. Olga ignored that voice. She opened up ChatGPT, looked at the most repetitive task on her plate, and started testing. No credentials. No roadmap. Just frustration, curiosity, and a weekend.“Anybody who says they have figured AI out or that they're on top of this, they're lying to you.”She did not wait for a manager to assign her an AI project. She looked for work she already understood. Rewriting vague marketing text. Fixing formatting issues. Translating copy into other languages without sounding robotic. These were not moonshot experiments. They were annoyances. She built a custom GPT for each one.That work gave her traction. It also gave her time back. She found herself reclaiming an hour a day just by handing off the small, repeatable parts of her job. That time opened up new space to build more. The learning came naturally because it was grounded in daily tasks she already owned.“If we look at this like a Maslow pyramid, the repetitive tasks are the base layer. That's where you start.”Confidence grows when the work starts to feel useful. That shift does not come from reading whitepapers or watching LinkedIn demos. It comes from applying the tool to one thing you do every week and watching it cut your time in half. That is how you build fluency. Not all at once. One custom GPT at a time.Key takeaway: Choose a task you already know well and automate it with a custom GPT. Keep the instructions specific and tied to your current workflow. Run it repeatedly until it saves you real time. Then build another. Confidence in AI tools comes from using them to solve work you already understand, not from waiting until you feel qualified.AI Use Cases in Marketing: AI Agents Creating Drafts from Context That Humans PerfectAI content agents are getting better, but they are not off the leash. Olga built two systems to test how far automation can go without turning content into generic filler. One starts with human writers. The other starts with a structured form. Both rely on real performance data, brand knowledge, and experienced editors.The first system runs inside Google Docs. Writers draft copy. The AI overlay scores it using past campaign performance, conversion data, and hand-labeled examples of strong and weak copy. It flags weak headlines, vague CTAs, bloated structure. Then it explains why. Olga's team noticed that when the starting draft is weak, AI only sm...
Simon takes you through a big list of cool new things - something for everyone.
Microsoft MVP Emanuel Palm joins The PowerShell Podcast to share his journey from managing printers in Sweden to being a Microsoft MVP who is automating the cloud with PowerShell and Azure. He talks about building the AZAuth module for OAuth authentication, using GitHub Actions for CI/CD, and the importance of blogging and community involvement. Plus, Emanuel reveals his unique side hobby... roasting coffee! Key Takeaways From printers to the cloud: Emanuel's career shows how PowerShell can open doors, from automating IT tasks to driving cloud automation and DevOps practices. Community and sharing matter: Blogging, presenting, and contributing help you grow your own understanding while creating opportunities for others. Automation and authentication: With tools like GitHub Actions and his AZAuth module, Emanuel demonstrates how to simplify workflows and securely interact with APIs. Guest Bio Emanuel Palm is a Microsoft MVP based in Sweden, where he is a consultant focused on Microsoft technologies and is active in the PowerShell community. Emanuel is the creator of the AZAuth module, a lightweight solution for handling OAuth authentication in PowerShell, and a frequent speaker at events like PowerShell Conference Europe. Beyond tech, Emanuel is a coffee enthusiast who even roasts his own beans as a side hobby. Resource Links Emanuel's Blog: https://pipe.how GitHub – Emanuel Palm: https://github.com/palmemanuel X / BlueSky: @palmemanuel AZAuth Module on GitHub: https://github.com/PalmEmanuel/AzAuth Emanuel's PS Wednesday: https://www.youtube.com/watch?v=trP2LLDynA0 Arkanum Coffee (Emanuel's hobby project): https://arkanum.coffee PDQ Discord: https://discord.gg/pdq Connect with Andrew: https://andrewpla.tech/links The PowerShell Podcast on YouTube: https://youtu.be/-uHHGVH1Kcc The PowerShell Podcast hub: https://pdq.com/the-powershell-podcast
Colby Ward of Amazon Web Services talks about leveraging agentic AI for competitive advantage; navigating change management; data; & eliminating spreadsheets. IN THIS EPISODE WE DISCUSS: [04.04] An introduction to Colby, his background, and role at Amazon Web Services. [06.58] An overview of AWS – who they are, what they do, and how they help their customers. “Everybody knows the expression: ‘Garbage in, garbage out!' But no one seems to focus on that area enough. They seem to say: “Well, here's our solution, whatever your data is, we'll take it.” And nobody focuses on: “How can I connect your data in an easier way?” “Our goal is to eventually eliminate the spreadsheet on every supply chainers desktop!” [10.30] Where enterprise technology has focused over the last couple of decades, the positives and negatives, and how we've got to where we are today. [14.17] The problem with generic SaaS systems in supply chain, and how agentic AI can deliver improved orchestration and eliminate bias. “SaaS systems are designed to fit any customer need, not your specific needs…. It has to be built in a generic way, so they offer configurable options, different APIs, but you're molding a generic system. And the problem is: supply chain problems aren't generic. They're specific. When you translate the word supply chain, what you're really saying is business operations. So that's a big topic!” “Not conjecture, not just leaving it up to somebody's best instinct… When you're operating on data-driven decisions, you don't have to second guess.” [22.27] How businesses can tackle outdated processes and deal with dirty data to leverage agentic AI in the most effective ways. “People say that data is the new oil, and that's true. But, like oil, if it's unrefined, it's useless.” [29.17] Leveraging agentic AI for competitive advantage, and why businesses should be thinking about creating the most amount of outputs from the least amount of inputs. “Enterprise A that doesn't use AI will eventually be the lumber yard that never bothered with a chainsaw. There's a reason we moved from axes to chainsaws, and AI is your chainsaw!” [35.21] Whether or not agentic AI will level the playing field. [37.34] An overview of ontologies, process and knowledge graphs, and how they can guide agents to achieve next-level intelligence. [42.36] Change management, and how businesses should be thinking about people alongside technology to ensure the best chance of success. “If you visualize this as a tool to help you with your job, you're immediately going to be better off… Make sure you have an AI strategy in place. Don't be dismissive that this is the next new fad. It's not. It's transformative.” [45.00] Are we ready? What organizations should take away from this discussion. RESOURCES AND LINKS MENTIONED: Head over to Amazon Web Service's website now to find out more and discover how they could help you too. You can also connect with AWS and keep up to date with the latest over on LinkedIn, Facebook, YouTube, Instagram or X (Twitter), or you can connect with Colby on LinkedIn. If you enjoyed this episode and want to hear more about AI and change management in supply chain, check out 458: Demystifying Industry Buzzwords and Innovating Intermodal, with Lynxis or 486: Revealed – The Number One Way To Make Your Supply Chain Future-Proof. Check out our other podcasts HERE.
Subscriber-Only: Today's episode is available only to subscribers. If you are a Point-Free subscriber you can access your private podcast feed by visiting https://www.pointfree.co/account. --- SQLite's full-text search capabilities come with many bells and whistles, including support for highlighting search term matches in your UI, as well as generating snippets for where matches appear in a larger corpus. We will take these APIs for a spin and enhance our Reminders search UI.
Our feature guest this week is Jason Hayes, President of Colorado CSA, interviewed by Frank Victory. News from Elitch Gardens, Xcel, EchoStar, Palantir, DaVita, Swimlane and a lot more! Come join us on the Colorado = Security Slack channel to meet old and new friends. Sign up for our mailing list on the main site to receive weekly updates - https://www.colorado-security.com/. If you have any questions or comments, or any organizations or events we should highlight, contact Alex and Robb at info@colorado-security.com This week's news: New Colorado area code rolls out for dozens of counties After years of doubt, Elitch Gardens may stick around for a while Space Case: Donald Trump's Rocky Relationship With Colorado Xcel says it needs to spend $22 billion to keep up with potential demand from Colorado data centers by 2040 Englewood-based EchoStar gives up wireless network independence for enough cash to survive Palantir is Colorado's highest-valued company — and at center of controversy — five years after move to Denver How They Got In — DaVita Inc. Colorado Adds AI-Generated Deepfakes to Revenge Porn, Child Exploitation Laws Colorado Delays AI Act Compliance: What Lawyers and Business Leaders Need to Know When the Government Can See Everything: How Palantir Is Mapping the Nation's Data Swimlane Announces Strategic Leadership Appointments to Accelerate Push to Agentic AI Security Operations Upcoming Events: Check out the full calendar Denver CSA - CCZT - Study Group - Session 2 (Virtual) - 9/10 ISSA Denver - September Chapter Meeting - 9/10 Denver CSA - Beyond Patching - Prioritizing Cloud Workload Risk with Exposure Management - 9/16 Denver OWASP - Why you should hack your own APIs - 9/17 ISACA Denver - Full Day! September Chapter Meeting - 9/18 ISSA Pikes Peak - Chapter Meeting - 9/24 Deciphering human behavior to Get Security Done (GSD): Understanding yourself and others to win at security - 9/25 ISACA Denver - ISACA CommunITy Day 2025 - 10/4 ISSA Denver - Denver ISSA Chapter Meeting at Secure World: How I Got Caught: A Deep Dive Into a 800K Fraud - 10/9 View our events page for a full list of upcoming events * Thanks to CJ Adams for our intro and exit! If you need any voiceover work, you can contact him here at carrrladams@gmail.com. Check out his other voice work here. * Intro and exit song: "The Language of Blame" by The Agrarians is licensed under CC BY 2.0
====================================================SUSCRIBETEhttps://www.youtube.com/channel/UCNpffyr-7_zP1x1lS89ByaQ?sub_confirmation=1==================================================== LECCIÓN DE ESCUELA SABÁTICA III TRIMESTRE DEL 2025Narrado por: Eddie RodriguezDesde: Guatemala, GuatemalaUna cortesía de DR'Ministries y Canaan Seventh-Day Adventist ChurchLUNES 08 DE SEPTIEMBRELA IDOLATRÍA Y EL MAL Lee Éxodo 32:6. ¿Adónde los condujo rápidamente su idolatría? (Ver también Sal. 115:4-8; 135:15-18; Isa. 44:9, 10). El becerro de oro se parecía al dios-toro egipcio Apis, o al dios-vaca Hathor. Se trataba de una flagrante transgresión de los mandamientos primero y segundo (Éxo. 20:3-6). Esta violación no podía quedar impune porque rompía abiertamente la relación del pueblo con el Señor viviente. En lugar de adorar a su Creador, los israelitas adoraron a su propia creación, que no podía ver, oír, oler, hablar, cuidar, amar ni guiar. El orden de la Creación se invirtió: en lugar de comprender que habían sido creados a imagen de Dios, hicieron un dios, ni siquiera a su propia imagen, lo que ya habría sido considerablemente malo, sino a imagen de un animal. ¿Este era el dios al que querían servir? Habían pecado así gravemente contra el Señor (Isa. 31:7; 42:17). ¿De qué maneras refleja la apostasía del becerro de oro lo que dice Romanos 1:22 al 27? La idolatría rechaza la verdad teológica de que Dios es Dios y el hombre es hombre, borra la brecha entre la Deidad y el ser humano (Ecl. 5:2) y destruye la conexión entre ambos. Ya sea de manera descarada y abierta u oculta en el corazón, la idolatría destruye rápidamente nuestra relación con el Señor y nos conduce a una espiral moral descendente. No es de extrañar que se pusieran a festejar después de ofrecer sacrificios al ídolo, lo que Elena de White describió como “una imitación de las fiestas idólatras de Egipto” (Patriarcas y profetas, p. 331). Los humanos son brillantes a la hora de fabricar sus propios ídolos. Crean sus propios dioses, lo cual ya es malo, pero luego van y los sirven. Sustituyen al Creador por cosas que, tarde o temprano, conducen a la degradación moral. ¿De qué maneras rinden culto los seres humanos actualmente a la Creación en lugar de adorar al Creador?
Stainless founder Alex Rattray joins a16z partner Jennifer Li to talk about the future of APIs, SDKs, and the rise of MCP (Model Context Protocol). Drawing on his experience at Stripe—where he helped redesign API docs and built code-generation systems—Alex explains why the SDK is the API for most developers, and why high-quality, idiomatic libraries are essential not just for humans, but now for AI agents as well.They dive into:The evolution of SDK generation and lessons from building at scale inside Stripe.Why MCP reframes APIs as interfaces for large language models.The challenges of designing tools and docs for both developers and AI agents.How context limits, dynamic tool generation, and documentation shape agent usability.The future of developer platforms in an era where “every company is an API company.”Timecodes: 0:00 – Introduction: APIs as the Dendrites of the Internet1:49 – Building API Platforms: Lessons from Stripe3:03 – SDKs: The Developer's Interface6:16 – The MCP Model: APIs for AI Agents9:23 – Designing for LLMs and AI Users13:08 – Solving Context Window Challenges16:57 – The Importance of Strongly Typed SDKs21:07 – The Future of API and Agent Experience24:45 – Lessons from Leading API Companies26:14 – Outro and DisclaimersResources: Find Alex on X: https://x.com/rattrayalexFind Jennifer on X: https://x.com/JenniferHliStay Updated: Let us know what you think: https://ratethispodcast.com/a16zFind a16z on Twitter: https://twitter.com/a16zFind a16z on LinkedIn: https://www.linkedin.com/company/a16zSubscribe on your favorite podcast app: https://a16z.simplecast.com/Follow our host: https://x.com/eriktorenbergPlease note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures.
Excited to welcome Ximena Aleman, Co-CEO and Co-Founder of Prometeo, on this week's Fintech Newscast! She brings sharp insights into the future of cross-border payments, how financial uncertainty is creating new demand for fintech services, and why APIs are the secret weapon making global finance simpler than ever https://prometeoapi.com Click Subscribe to keep up to date on the world of fintech! Reach … Continue reading Ep 265- Prometeo Co-CEO Ximena Aleman
This episode is part of the AI Summary series covering the AI Search Manual chapter by chapter. Chapter 8 explains query fan-out, latent intent, and source aggregation — the mechanics that turn a single user query into dozens of sub-queries driving generative answers.We explore how systems expand an input into related intents, identify explicit and implicit slots, generate rewrites, and anticipate follow-up questions. The episode shows how routing directs these sub-queries to different sources and modalities, from web indexes and APIs to video transcripts and structured data.We then break down the selection funnel, where retrieved chunks are filtered by extractability, evidence density, scope clarity, authority, freshness, and safety before reaching synthesis. High-quality content often gets excluded if it fails on structure or format, which highlights why chunk-level engineering matters as much as page-level optimization.The strategic takeaway is clear: winning in GEO requires intent coverage across the fan-out, multi-modal parity so content fits the system's preferred formats, and chunk-level readiness for synthesis. Measurement also changes, shifting from keyword rankings to sub-query recall, evidence density, and citation stability.Read the full chapter at ipullrank.com/ai-search-manual
All links and images can be found on CISO Series. Check out this post for the discussion that is the basis of our conversation on this week's episode co-hosted by David Spark, the producer of CISO Series, and Geoff Belknap. Joining us is our sponsored guest Mokhtar Bacha, founder and CEO, Formal. In this episode: Access management faces transformation AI agents demand new authentication paradigms AI complexity demands simplified governance approaches Data-centric identity management replaces role-based approaches Huge thanks to our sponsor, Formal Formal secures humans, AI agent's access to MCP servers, infrastructure, and data stores by monitoring and controlling data flows in real time. Using a protocol-aware reverse proxy, Formal enforces least-privilege access to sensitive data and APIs, ensuring AI behavior stays predictable and secure. Visit joinformal.com to learn more or schedule a demo.
In the second half of this crossover between Hands On IT and Automate IT, hosts Landon Miles and Jeremy Maldonado shift from defining IT problems to actually building, testing, and refining solutions. They dig into choosing the right tools without getting lost in endless options, the value of learning from APIs and documentation, and why “don't reinvent the wheel” is a mantra every IT pro should adopt.Along the way, they share real-world stories about discovering hidden libraries, avoiding common pitfalls, and leaning on version control to save projects from chaos. From Python and Bash basics to Git, Postman, and even the “bus test” for documentation, this episode is packed with practical lessons to help you turn automations into lasting, maintainable solutions.Whether you're just starting your automation journey or looking to optimize and scale what you've already built, you'll find insights, strategies, and inspiration to take your IT problem-solving further.Awesome-Selfhosted GitHub Link: https://github.com/awesome-selfhosted/awesome-selfhosted
Welcome back to another episode of the EUVC Podcast, where we gather Europe's venture family to share the stories, insights, and lessons that drive our ecosystem forward. Today's conversation takes us on a global journey from Croatia to San Francisco to uncover how one founder caught lightning in a bottle and is now racing to harness it.Our guest: Ivan Burazin, founder of Daytona. With a career spanning Toronto, Croatia, Infobip, Shift Conference, and now Daytona, Ivan brings a rare, global perspective on how Europe can lead in DevTools and AI infrastructure. Alongside him, our dear friend Enis Hulli from E2VC joins to spotlight Daytona's story, the lessons from its dramatic pivot, and what it means for founders and investors navigating this new AI wave.Ivan has spent two decades at the intersection of infrastructure and developer communities. From racking servers in the early 2000s to launching one of the first browser-based IDEs in 2009 to scaling the Shift Conference to thousands of attendees, his career has consistently circled around enabling developers.Daytona's first act was a cloud IDE provider for enterprises — “one-click setup for secure developer environments.” With Fortune 500 customers onboard, revenue flowing, and a healthy pipeline, Daytona 1.0 showed promise. But something was missing.Six months ago, Ivan and his team made a bold decision to pivot. Daytona 2.0 is no longer about provisioning dev environments for humans — it's about powering AI agents with the computers they need.“Agents are not computers themselves. They need access to computers to run browsers, clone repos, analyze data. Daytona gives them that — an isolated sandbox with machine-native interfaces built for agents.” – IvanThe differences between human and agent runtimes turned out to be massive:Humans tolerate 30 seconds of spin-up; agents need milliseconds.Humans solve problems sequentially; agents branch into parallel “multiverse” solutions.Humans parse terminal output; agents require clean APIs.By recognizing this, Daytona carved out a new category: the computer for agents.The pivot coincided with a deliberate move to San Francisco. Ivan recalls how Figma embedded with designers at Airbnb, or how Twilio found adoption among early Valley startups. To own mindshare in a new category, location mattered.“From San Francisco outwards, adoption flows naturally. From Europe inwards, it's like pushing uphill.” – IvanSo Daytona went all-in: presence at AI meetups, team members flying in and out, and early product evangelism on the ground.HAfter the pivot, Daytona saw extraordinary pull from the market:Customer conversations ended with “send me the API key”.Infrastructure demand showed power-law dynamics: just a handful of fast-growing customers could drive scale.Instead of polished decks, Ivan shared raw revenue dashboards with authenticity.The momentum was immediate and tangible.Ivan admits he hadn't explicitly asked permission to pivot. He hinted at it in updates, tested the idea with a hackathon, and only later informed his cap table. The response? Overwhelmingly positive.“Almost half the angels replied. Go f***ing go. Let's go. I should've told them sooner.” – IvanEnis highlights this as a key distinction: experienced angels with broad portfolios encourage bold swings, while less diversified angels may fear the risk.Catching lightning is one thing. Harnessing it is another. Ivan's current focus:Hiring deliberately: keeping the team small and ownership-driven.White-glove onboarding: every serious customer gets a Slack channel with the whole team.Balancing speed and reliability: ship daily, but solve today's scale problems without over-engineering.Enis introduces a new term: seed-strapping — raising a seed, skipping A and B, and scaling straight to unicorn status.Ivan is cautious. Infra is capital-intensive, and while Daytona could raise a Series A today, he's committed to doing it on his terms.
In a time when the world is run by data and real-time actions, edge computing is quickly becoming a must-have in enterprise technology. In the recent episode of the Tech Transformed podcast, hosted by Shubhangi Dua, a Podcast Producer and B2B Tech Journalist, discusses the complexities of this distributed future with guest Dmitry Panenkov, Founder and CEO of emma.The conversation dives into how latency is the driving force behind edge adoption. Applications like autonomous vehicles and real-time analytics cannot afford to wait on a round trip to a centralised data centre. They need to compute where the data is generated.Rather than viewing edge as a rival to the cloud, the discussion highlights it as a natural extension. Edge environments bring speed, resilience and data control, all necessary capabilities for modern applications. Adopting Edge ComputingFor organisations looking to adopt edge computing, this episode lays out a practical step-by-step approach. The skills necessary in multi-cloud environments – automation, infrastructure as code, and observability – translate well to edge deployments. These capabilities are essential for managing the unique challenges of edge devices, which may be disconnected, have lower power, or be located in hard-to-reach areas. Without this level of operational maturity, Panenkov warns of a "zombie apocalypse" of unmanaged devices.Simplifying ComplexityManaging different APIs, SDKs, and vendor lock-ins across a distributed network can be a challenging task, and this is where platforms like emma become crucial.Alluding to emma's mission, Panenkov explains, "We're building a unified platform that simplifies the way people interact with different cloud and computer environments, whether these are in a public setting or private data centres or even at the edge."Overall, emma creates a unified API layer and user interface, which simplifies the complexity. It helps businesses manage, automate, and scale their workloads from a singular perspective and reduces the burden on IT teams. They also reduce the need for a large team of highly skilled professionals leads to substantial cost savings. emma's customers have experienced that their cloud bills went down significantly and updates could be rolled out much faster using the platform.TakeawaysEdge computing is becoming a reality for more organisations.Latency-sensitive applications drive the need for edge computing.Real-time analytics and industry automation benefit from edge computing.Edge computing enhances resilience, cost efficiency, and data sovereignty.Integrating edge into cloud strategies requires automation and observability.Maturity in operational practices, like automation and observability, is essential for...
Welcome to episode 319 of The Cloud Pod, where the forecast is always cloudy! Justin, Matt, and Ryan are in the studio to bring you all the latest in cloud and AI news. AWS Cost MCP makes exploring your finops data as simple as english text. We've got a sunnier view for junior devs, a Microsoft open source development, tokens, and it's even Kubernetes' birthday – let's get into it! Titles we almost went with this week: From Linux Hater to Open Source Darling: A Microsoft Love Story 20,000 Lines of Code and a Dream: Microsoft’s Open Source Glow-Up Ctrl+Alt+Delete Your Assumptions: Microsoft Goes Full Penguin Token and Esteem: Amazon Bedrock Gets a Counter CSI: Cloud Scene Investigation The Great SQL Migration: How AI Became the Universal Translator Token and Ye Shall Receive: Bedrock’s New Counting Feature The Count of Monte Token: A Bedrock Tale – mk Ctrl+Z for Your Database: Now with Built-in Lag Time IP Freely: GKE Takes the Pain Out of Address Management AWS CEO: AI Can’t Replace Junior Devs Because Someone Has to Fix the AI’s Code Better Late Than Never: RDS PostgreSQL Gets Time Travel The SQL Whisperer: Teaching AI to Speak Database DigitalOcean Goes Full Chatbot: Your Infrastructure Now Speaks Human Musk vs Cook: The App Store Wars Episode AI Firestore Goes Mongo: A Database Love Story GKE Turns 10: Now With More Candles and Less Complexity Prime Day Infrastructure: Now With 87,000 AI Chips and a Robot Army AWS Scales to Quadrillion Requests: Your Black Friday Traffic Looks Cute AWS billing now speaks human, thanks to MCPs The Bastion Holds: Azure’s New Gateway to Kubernetes Kingdoms The Surge Before the Merge: Azure’s New Upgrade Strategy CNI Overlay: Because Your Pods Deserve Their Own ZIP Code AI Is Going Great – or How ML Makes Money 00:46 Musk's xAI sues Apple, OpenAI alleging scheme that harmed X, Grok xAI filed a lawsuit against Apple and OpenAI, alleging anticompetitive practices in AI chatbot distribution, claiming Apple deprioritizes competing AI apps like Grok in the App Store while favoring ChatGPT through direct integration into iOS devices. The lawsuit highlights tensions in AI platform distribution models, where cloud-based AI services depend on mobile app stores for user access, potentially creating gatekeeping concerns for competing generative AI providers. Apple’s partnership with OpenAI to integrate ChatGPT into iPhone, iPad, and Mac products represents a shift toward native AI integration rather than app-based access, which could impact how cloud AI services reach end users. The dispute underscores growing competition in the generative AI market, where multiple players, including xAI’s Grok, OpenAI’s ChatGPT, DeepSeek, and Perplexity, are vying for market position through both cloud APIs and mobile distribution channels. For cloud developer
This week's guest is Jordan Dearsley, CEO of Vapi. Vapi enables enterprises to deploy humanlike voice agents in minutes. Whether you are building a new voice product or managing millions of calls, Vapi's infrastructure and flexible APIs make it simple and reliable.We explore why Waterloo continues to produce world-class engineers and founders, Jordan's journey from building calendar apps and AI therapy tools to leading Vapi, and why enterprises are turning to voice AI to save engineering time and resources. We also cover the toughest technical challenges including latency, tool calls, determinism, and multi state environments, and why generative voice systems require constant tuning and forward deployed models rather than one size fits all solutions.Episode Chapters:2:10 - The MIT of Canada4:03 - Pivoting 10+ times6:00 - Why voice AI11:07 - A faster path to production12:05 - Voice challenges from enterprises15:05 - Why stay horizontal17:20 - Actively moving away from being an AI BPO19:45 - Forward deployed engineers21:40 - From scoping to production22:40 - Recruiting as an early stage startup26:05 - ElevenLabs leading the model pack29:00 - Distribution & enterprise integrations32:35 - Quick fire round As always, feel free to contact us at partnerpathpodcast@gmail.com. We would love to hear ideas for content, guests, and overall feedback.This episode is brought to you by Grata, the world's leading deal sourcing platform. Our AI-powered search, investment-grade data, and intuitive workflows give you the edge needed to find and win deals in your industry. Visit grata.com to schedule a demo today.Fresh out of Y Combinator's Summer batch, Overlap is an AI-driven app that uses LLMs to curate the best moments from podcast episodes. Imagine having a smart assistant who reads through every podcast transcript, finds the best parts or parts most relevant to your search, and strings them together to form a new curated stream of content - that is what Overlap does. Podcasts are an exponentially growing source of unique information. Make use of it! Check out Overlap 2.0 on the App Store today.
This week on The Data Stack Show, the crew welcomes Eric Dodds back to the show as they dive into the realities of integrating AI and large language models into data team workflows. Eric, Matt and John discuss the promise and pitfalls of AI-driven automation, the persistent challenges of working with APIs, and the evolution from big data tools to AI-powered solutions. The conversation also highlights the risks of over-reliance on single experts, the critical importance of documentation and context, and the gap between AI marketing hype and practical implementation. Key takeaways for listeners include the necessity of strong data fundamentals, the hidden costs and risks of AI adoption, the importance of balancing efficiency gains with long-term team resilience, and so much more.Highlights from this week's conversation include:Eric is Back from Europe (0:37)AI and Data: Jurisdiction and Comfort Level (4:00)APIs, Tool Calls, and Practical AI Limitations (5:08)Scaling, Big Data, and AI's Current Constraints (9:16)Stakeholder-Facing AI and Data Team Risks (13:20)Self-Service Analytics and AI's Real Impact (16:04)AI Hype vs. Reality and Uneven Impact (20:27)Cost, Context, and AI's Practical Barriers (25:25)AI for Admin Tasks and Business Logic Complexity (29:13)Tribal Knowledge, Documentation, and Context Engineering (32:07)AI as a Productivity Accelerator and the “Gary Problem” (35:10)Healthy Conflict, Team Dynamics, and AI's Limits (39:15)Back to Fundamentals: Good Practices Enable AI (41:47)Lightning Round: Favorite AI Tools and Workflow Integration (45:56)AI in Everyday Life and Closing Thoughts (48:14)The Data Stack Show is a weekly podcast powered by RudderStack, customer data infrastructure that enables you to deliver real-time customer event data everywhere it's needed to power smarter decisions and better customer experiences. Each week, we'll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.
In this episode of Homeopathy 247, Mary Greensmith welcomes back Jagoda Salewska, who shares her passion for the remedy Natrum Muriaticum (often called Nat Mur). For Jagoda, this remedy feels deeply personal—something she has resonated with since childhood—and she explains why it is such an essential remedy both emotionally and physically. What is Natrum Muriaticum? Natrum Muriaticum is made from common salt. Since salt is present in every cell of our body and essential for life, this remedy has a wide-reaching influence. It's used in both cell salt (tissue salt) form, which acts more on the physical body, and in homoeopathic remedy form, which works on emotional as well as physical levels. Jagoda describes it as a remedy that “balances the water of life”—helping with issues of dryness and excess fluid, as well as with emotional stuckness. The Emotional Picture – Sadness, Grief, and Sensitivity At its core, Natrum Muriaticum is linked with deep, unresolved grief or sadness. People who need it often: Hold their emotions inside rather than express them Prefer to cry alone, or sometimes feel unable to cry at all Build a protective “wall” around themselves, appearing strong on the outside but deeply tender within Show perfectionist tendencies, carefully controlling how they present to the world Jagoda points out that while grief is the most common theme, the remedy helps whenever emotions become “stuck”—unable to flow naturally. By gently releasing those emotions, Natrum Muriaticum allows healing to move forward. Nat Mur in Children Children needing Natrum Muriaticum may not show obvious grief, but they often reveal themselves in other ways. Traits can include: Perfectionism in appearance or behaviour Being thin or underdeveloped compared to peers Learning or speech delays Sensitivity to light, sound, or strong emotions Constipation or dryness in the body Physically, they may be prone to colds with lots of sneezing and clear discharges, cracked lips, or mouth ulcers. These symptoms all reflect the remedy's connection with water balance and dryness. Physical Complaints and Water Balance Because salt governs fluid balance, Natrum Muriaticum is often indicated where there is too much or too little fluid in the body. Common examples include: Headaches or migraines, especially from the sun or after emotional upset Colds and fevers, with streaming eyes and nose Skin issues such as cold sores, cracked lips, eczema, or acne that appear after grief Digestive troubles, sometimes linked with unprocessed emotions Insomnia, especially waking in the early hours between 3–5am In tissue salt form (6X potency), Nat Mur can also be used as a natural electrolyte to support hydration, especially after diarrhoea, vomiting, or heat exposure. Opening Layers of Healing Jagoda explains that Natrum Muriaticum is often a layer remedy. It helps open the door for other remedies by releasing blocked grief and sadness. Sometimes this uncovering reveals deeper emotions such as anger or resentment, which then call for a different prescription. In homoeopathy, the healing journey often involves peeling back layers. Nat Mur is one of the remedies that can begin this process, gently breaking down walls so that emotions and physical symptoms can flow and heal. Remedy Relationships Ignatia is often used for acute grief, while Nat Mur is suited for the longer, deeper stages of sorrow. Apis acts as an acute counterpart, especially when swelling or allergic reactions appear suddenly, while Nat Mur deals with the slower, underlying imbalance. The remedy also connects strongly with the cycles of nature, including the moon and the sea, reflecting its deep link to water and emotions. Natrum Muriaticum is much more than “just salt.” It is a profound remedy that touches both the physical and emotional levels of health. From headaches and colds to grief and perfectionism, it helps restore balance when life feels stuck. As Jagoda beautifully puts it, Nat Mur helps us release the weight of sadness and move toward wholeness. Important links mentioned in this episode: Visit Anindita's website: https://jagodahomeopathy.com/ Know more about Jagoda Salweska: https://homeopathy247.com/professional-homeopaths-team/jagoda-salewska/ Subscribe to our YouTube channel and be updated with our latest episodes. You can also subscribe to our podcast channels available on your favourite podcast listening app below: Apple Podcast: https://podcasts.apple.com/us/podcast/homeopathy247-podcast/id1628767810 Spotify: https://open.spotify.com/show/39rjXAReQ33hGceW1E50dk Follow us on our social media accounts: Facebook: https://www.facebook.com/homeopathy247 Instagram: https://www.instagram.com/homeopathy247 You can also visit our website at https://homeopathy247.com/
In this must-see BlackHat 2025 interview, Doug White sits down with Michael Callahan, CMO at Salt Security, for a high-stakes conversation about Agentic AI, Model Context Protocol (MCP) servers, and the massive API security risks reshaping the cyber landscape. Broadcast live from the CyberRisk TV studio at Mandalay Bay, Las Vegas, the discussion pulls back the curtain on how autonomous AI agents and centralized MCP hubs could supercharge productivity—while also opening the door to unprecedented supply chain vulnerabilities. From “shadow MCP servers” to the concept of an “API fabric,” Michael explains why these threats are evolving faster than traditional security measures can keep up, and why CISOs need to act before it's too late. Viewers will get rare insight into the parallels between MCP exploitation and DNS poisoning, the hidden dangers of API sprawl, and why this new era of AI-driven communication could become a hacker's dream. Blog: https://salt.security/blog/when-ai-agents-go-rogue-what-youre-missing-in-your-mcp-security Survey Report: https://content.salt.security/AI-Agentic-Survey-2025_LP-AI-Agentic-Survey-2025.html This segment is sponsored by Salt Security. Visit https://securityweekly.com/saltbh for a free API Attack Surface Assessment! At Black Hat 2025, live from the Cyber Risk TV studio in Las Vegas, Jackie McGuire sits down with Apiiro Co-Founder & CEO Idan Plotnik to unpack the real-world impact of AI code assistants on application security, developer velocity, and cloud costs. With experience as a former Director of Engineering at Microsoft, Idan dives into what drove him to launch Apiiro — and why 75% of engineers will be using AI assistants by 2028. From 10x more vulnerabilities to skyrocketing API bloat and security blind spots, Idan breaks down research from Fortune 500 companies on how AI is accelerating both innovation and risk. What you'll learn in this interview: - Why AI coding tools are increasing code complexity and risk - The massive cost of unnecessary APIs in cloud environments - How to automate secure code without slowing down delivery - Why most CISOs fail to connect security to revenue (and how to fix it) - How Apiiro's Autofix AI Agent helps organizations auto-fix and auto-govern code risks at scale This isn't just another AI hype talk. It's a deep dive into the future of secure software delivery — with practical steps for CISOs, CTOs, and security leaders to become true business enablers. Watch till the end to hear how Apiiro is helping Fortune 500s bridge the gap between code, risk, and revenue. Apiiro AutoFix Agent. Built for Enterprise Security: https://youtu.be/f-_zrnqzYsc Deep Dive Demo: https://youtu.be/WnFmMiXiUuM This segment is sponsored by Apiiro. Be one of the first to see their new AppSec Agent in action at https://securityweekly.com/apiirobh. Is Your AI Usage a Ticking Time Bomb? In this exclusive Black Hat 2025 interview, Matt Alderman sits down with GitLab CISO Josh Lemos to unpack one of the most pressing questions in tech today: Are executives blindly racing into AI adoption without understanding the risks? Filmed live at the CyberRisk TV Studio in Las Vegas, this eye-opening conversation dives deep into: - How AI is being rapidly adopted across enterprises — with or without security buy-in - Why AI governance is no longer optional — and how to actually implement it - The truth about agentic AI, automation, and building trust in non-human identities - The role of frameworks like ISO 42001 in building AI transparency and assurance - Real-world examples of how teams are using LLMs in development, documentation & compliance Whether you're a CISO, developer, or business exec — this discussion will reshape how you think about AI governance, security, and adoption strategy in your org. Don't wait until it's too late to understand the risks. The Economics of Software Innovation: $750B+ Opportunity at a Crossroads Report: http://about.gitlab.com/software-innovation-report/ For more information about GitLab and their report, please visit: https://securityweekly.com/gitlabbh Live from Black Hat 2025 in Las Vegas, Jackie McGuire sits down with Chris Boehm, Field CTO at Zero Networks, for a high-impact conversation on microsegmentation, shadow IT, and why AI still struggles to stop lateral movement. With 15+ years of cybersecurity experience—from Microsoft to SentinelOne—Chris breaks down complex concepts like you're a precocious 8th grader (his words!) and shares real talk on why AI alone won't save your infrastructure. Learn how Zero Networks is finally making microsegmentation frictionless, how summarization is the current AI win, and what red flags to look for when evaluating AI-infused security tools. If you're a CISO, dev, or just trying to stay ahead of cloud threats—this one's for you. This segment is sponsored by Zero Networks. Visit https://securityweekly.com/zerobh to learn more about them! Visit https://www.securityweekly.com/asw for all the latest episodes! Show Notes: https://securityweekly.com/asw-346
Our guest today is Akansha Shukla, an information security professional with over 10 years of experience in application security, DevSecOps, and API security. We're discussing why API security remains one of the least mature areas of AppSec today and exploring the challenges developers face when securing APIs. Akansha shares her insights on incorporating APIs into threat modeling exercises, the ongoing struggles with API discovery and inventory management, and the authorization challenges highlighted in the OWASP API Security Top 10. The conversation also touches on whether "shift left" is truly dead and why we still haven't solved basic security problems like input validation despite having the frameworks to address them.FOLLOW OUR SOCIAL MEDIA: ➜Twitter: @AppSecPodcast➜LinkedIn: The Application Security Podcast➜YouTube: https://www.youtube.com/@ApplicationSecurityPodcast Thanks for Listening! ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
TalkLP podcast host Amber Bradley chats with Jason Cornewell, Director of Global Supply Chain Loss Prevention and Operations at Finish Line/JD Sports North America talk creative financing for critical technology tools, health lifecycles, using tech to speak the business language, "high heat product," smoke systems tying into a VMS, and more! Take a listen to this industry veteran's creative solutions for in-store theft and why it's so important to partner with solution providers with open APIs (like March Networks)....oh, and a bonus: you HAVE to hear his "best career" advice ever - it's tweetable...(or X-able)? Jason also talks about the 2 types of power in the world and why you should care about what type YOU have as a professional. To learn more and schedule a demo with March Networks here.
In this must-see BlackHat 2025 interview, Doug White sits down with Michael Callahan, CMO at Salt Security, for a high-stakes conversation about Agentic AI, Model Context Protocol (MCP) servers, and the massive API security risks reshaping the cyber landscape. Broadcast live from the CyberRisk TV studio at Mandalay Bay, Las Vegas, the discussion pulls back the curtain on how autonomous AI agents and centralized MCP hubs could supercharge productivity—while also opening the door to unprecedented supply chain vulnerabilities. From “shadow MCP servers” to the concept of an “API fabric,” Michael explains why these threats are evolving faster than traditional security measures can keep up, and why CISOs need to act before it's too late. Viewers will get rare insight into the parallels between MCP exploitation and DNS poisoning, the hidden dangers of API sprawl, and why this new era of AI-driven communication could become a hacker's dream. Blog: https://salt.security/blog/when-ai-agents-go-rogue-what-youre-missing-in-your-mcp-security Survey Report: https://content.salt.security/AI-Agentic-Survey-2025_LP-AI-Agentic-Survey-2025.html This segment is sponsored by Salt Security. Visit https://securityweekly.com/saltbh for a free API Attack Surface Assessment! At Black Hat 2025, live from the Cyber Risk TV studio in Las Vegas, Jackie McGuire sits down with Apiiro Co-Founder & CEO Idan Plotnik to unpack the real-world impact of AI code assistants on application security, developer velocity, and cloud costs. With experience as a former Director of Engineering at Microsoft, Idan dives into what drove him to launch Apiiro — and why 75% of engineers will be using AI assistants by 2028. From 10x more vulnerabilities to skyrocketing API bloat and security blind spots, Idan breaks down research from Fortune 500 companies on how AI is accelerating both innovation and risk. What you'll learn in this interview: - Why AI coding tools are increasing code complexity and risk - The massive cost of unnecessary APIs in cloud environments - How to automate secure code without slowing down delivery - Why most CISOs fail to connect security to revenue (and how to fix it) - How Apiiro's Autofix AI Agent helps organizations auto-fix and auto-govern code risks at scale This isn't just another AI hype talk. It's a deep dive into the future of secure software delivery — with practical steps for CISOs, CTOs, and security leaders to become true business enablers. Watch till the end to hear how Apiiro is helping Fortune 500s bridge the gap between code, risk, and revenue. Apiiro AutoFix Agent. Built for Enterprise Security: https://youtu.be/f-_zrnqzYsc Deep Dive Demo: https://youtu.be/WnFmMiXiUuM This segment is sponsored by Apiiro. Be one of the first to see their new AppSec Agent in action at https://securityweekly.com/apiirobh. Is Your AI Usage a Ticking Time Bomb? In this exclusive Black Hat 2025 interview, Matt Alderman sits down with GitLab CISO Josh Lemos to unpack one of the most pressing questions in tech today: Are executives blindly racing into AI adoption without understanding the risks? Filmed live at the CyberRisk TV Studio in Las Vegas, this eye-opening conversation dives deep into: - How AI is being rapidly adopted across enterprises — with or without security buy-in - Why AI governance is no longer optional — and how to actually implement it - The truth about agentic AI, automation, and building trust in non-human identities - The role of frameworks like ISO 42001 in building AI transparency and assurance - Real-world examples of how teams are using LLMs in development, documentation & compliance Whether you're a CISO, developer, or business exec — this discussion will reshape how you think about AI governance, security, and adoption strategy in your org. Don't wait until it's too late to understand the risks. The Economics of Software Innovation: $750B+ Opportunity at a Crossroads Report: http://about.gitlab.com/software-innovation-report/ For more information about GitLab and their report, please visit: https://securityweekly.com/gitlabbh Live from Black Hat 2025 in Las Vegas, Jackie McGuire sits down with Chris Boehm, Field CTO at Zero Networks, for a high-impact conversation on microsegmentation, shadow IT, and why AI still struggles to stop lateral movement. With 15+ years of cybersecurity experience—from Microsoft to SentinelOne—Chris breaks down complex concepts like you're a precocious 8th grader (his words!) and shares real talk on why AI alone won't save your infrastructure. Learn how Zero Networks is finally making microsegmentation frictionless, how summarization is the current AI win, and what red flags to look for when evaluating AI-infused security tools. If you're a CISO, dev, or just trying to stay ahead of cloud threats—this one's for you. This segment is sponsored by Zero Networks. Visit https://securityweekly.com/zerobh to learn more about them! Visit https://www.securityweekly.com/asw for all the latest episodes! Show Notes: https://securityweekly.com/asw-346
In this must-see BlackHat 2025 interview, Doug White sits down with Michael Callahan, CMO at Salt Security, for a high-stakes conversation about Agentic AI, Model Context Protocol (MCP) servers, and the massive API security risks reshaping the cyber landscape. Broadcast live from the CyberRisk TV studio at Mandalay Bay, Las Vegas, the discussion pulls back the curtain on how autonomous AI agents and centralized MCP hubs could supercharge productivity—while also opening the door to unprecedented supply chain vulnerabilities. From “shadow MCP servers” to the concept of an “API fabric,” Michael explains why these threats are evolving faster than traditional security measures can keep up, and why CISOs need to act before it's too late. Viewers will get rare insight into the parallels between MCP exploitation and DNS poisoning, the hidden dangers of API sprawl, and why this new era of AI-driven communication could become a hacker's dream. Blog: https://salt.security/blog/when-ai-agents-go-rogue-what-youre-missing-in-your-mcp-security Survey Report: https://content.salt.security/AI-Agentic-Survey-2025_LP-AI-Agentic-Survey-2025.html This segment is sponsored by Salt Security. Visit https://securityweekly.com/saltbh for a free API Attack Surface Assessment! At Black Hat 2025, live from the Cyber Risk TV studio in Las Vegas, Jackie McGuire sits down with Apiiro Co-Founder & CEO Idan Plotnik to unpack the real-world impact of AI code assistants on application security, developer velocity, and cloud costs. With experience as a former Director of Engineering at Microsoft, Idan dives into what drove him to launch Apiiro — and why 75% of engineers will be using AI assistants by 2028. From 10x more vulnerabilities to skyrocketing API bloat and security blind spots, Idan breaks down research from Fortune 500 companies on how AI is accelerating both innovation and risk. What you'll learn in this interview: - Why AI coding tools are increasing code complexity and risk - The massive cost of unnecessary APIs in cloud environments - How to automate secure code without slowing down delivery - Why most CISOs fail to connect security to revenue (and how to fix it) - How Apiiro's Autofix AI Agent helps organizations auto-fix and auto-govern code risks at scale This isn't just another AI hype talk. It's a deep dive into the future of secure software delivery — with practical steps for CISOs, CTOs, and security leaders to become true business enablers. Watch till the end to hear how Apiiro is helping Fortune 500s bridge the gap between code, risk, and revenue. Apiiro AutoFix Agent. Built for Enterprise Security: https://youtu.be/f-_zrnqzYsc Deep Dive Demo: https://youtu.be/WnFmMiXiUuM This segment is sponsored by Apiiro. Be one of the first to see their new AppSec Agent in action at https://securityweekly.com/apiirobh. Is Your AI Usage a Ticking Time Bomb? In this exclusive Black Hat 2025 interview, Matt Alderman sits down with GitLab CISO Josh Lemos to unpack one of the most pressing questions in tech today: Are executives blindly racing into AI adoption without understanding the risks? Filmed live at the CyberRisk TV Studio in Las Vegas, this eye-opening conversation dives deep into: - How AI is being rapidly adopted across enterprises — with or without security buy-in - Why AI governance is no longer optional — and how to actually implement it - The truth about agentic AI, automation, and building trust in non-human identities - The role of frameworks like ISO 42001 in building AI transparency and assurance - Real-world examples of how teams are using LLMs in development, documentation & compliance Whether you're a CISO, developer, or business exec — this discussion will reshape how you think about AI governance, security, and adoption strategy in your org. Don't wait until it's too late to understand the risks. The Economics of Software Innovation: $750B+ Opportunity at a Crossroads Report: http://about.gitlab.com/software-innovation-report/ For more information about GitLab and their report, please visit: https://securityweekly.com/gitlabbh Live from Black Hat 2025 in Las Vegas, Jackie McGuire sits down with Chris Boehm, Field CTO at Zero Networks, for a high-impact conversation on microsegmentation, shadow IT, and why AI still struggles to stop lateral movement. With 15+ years of cybersecurity experience—from Microsoft to SentinelOne—Chris breaks down complex concepts like you're a precocious 8th grader (his words!) and shares real talk on why AI alone won't save your infrastructure. Learn how Zero Networks is finally making microsegmentation frictionless, how summarization is the current AI win, and what red flags to look for when evaluating AI-infused security tools. If you're a CISO, dev, or just trying to stay ahead of cloud threats—this one's for you. This segment is sponsored by Zero Networks. Visit https://securityweekly.com/zerobh to learn more about them! Show Notes: https://securityweekly.com/asw-346
The Era of AI Agents in Marketing // MLOps Podcast #337 with Joel Horwitz, Growth Engineer at Neoteric3D.Join the Community: https://go.mlops.community/YTJoinInGet the newsletter: https://go.mlops.community/YTNewsletter// AbstractWe're entering a new era in marketing—one powered by AI agents, not just analysts. The rise of tools like Clay, Karrot.ai, 6sense, and Mutiny is reshaping how go-to-market (GTM) teams operate, making room for a new kind of operator: the GTM engineer. This hybrid role blends technical fluency with growth strategy, leveraging APIs, automation, and AI to orchestrate hyper-personalized, scalable campaigns. No longer just marketers, today's GTM teams are builders—connecting data, deploying agents, and fine-tuning workflows in real time to meet buyers where they are. This shift isn't just evolution—it's a replatforming of the entire GTM function.// BioJoel S. Horwitz has been riding the data wave since before it was cool—literally. He spoke at Spark Summit back in 2014 and penned a prescient piece for MIT Tech Review on data science and machine learning before they became boardroom buzzwords. A former big tech executive turned entrepreneur, Joel now runs Neoteric3D (N3D for short), a digital design and data growth agency that helps brands scale with smarts and style. When he's not architecting next-gen growth strategies, you'll find him logging long miles on the trail or coaching his sons' soccer and baseball teams like a champ.// Related LinksWebsite: https://www.neoteric3d.com~~~~~~~~ ✌️Connect With Us ✌️ ~~~~~~~Catch all episodes, blogs, newsletters, and more: https://go.mlops.community/TYExploreJoin our Slack community [https://go.mlops.community/slack]Follow us on X/Twitter [@mlopscommunity](https://x.com/mlopscommunity) or [LinkedIn](https://go.mlops.community/linkedin)] Sign up for the next meetup: [https://go.mlops.community/register]MLOps Swag/Merch: [https://shop.mlops.community/]Connect with Demetrios on LinkedIn: /dpbrinkmConnect with Joel on LinkedIn: /joelshorwitzTimestamps:[00:00] Joel's preferred coffee[00:53] Agentic workflows in marketing[04:26] Agentic AI vs big data[08:24] Creative outreach automation[13:08] LLMs in marketing optimization[17:36] Traffic relevance[23:36] End-to-end AI workflow[28:10] AI in task automation[32:08] AI systems architecting[38:00] AI vs Thought Leadership[43:10] AI as sparring partner[45:22] AI shifts human roles[48:23] Wrap up
In this episode, the hosts welcome back David Jarvis, co-founder and CEO of Griffin, for his second appearance on the show. The discussion centres on the emerging concept of agentic banking and Griffin's development of the MCP server. David explains how the MCP server enables AI models to interact with banking APIs using a configuration file, significantly enhancing automation and functionality. The conversation explores how this technology could transform areas such as corporate treasury, wealth management, and broader financial services. David outlines how AI agents might one day handle complex tasks traditionally managed by intermediaries like mortgage brokers and treasurers, streamlining operations and reducing costs. While still in the early stages, this innovation is already gaining interest from banks and fintech firms. The episode also looks ahead to the future of AI in banking, examining both the potential and the practical challenges of integrating agentic systems into existing infrastructure. Listeners can find out more via Griffin's website (https://griffin.com/) and blog.
Angular 20 is a major milestone that redefines how we think about building modern web applications. In this episode of the Angular Master Podcast, I invited three outstanding experts: Manfred Steyer, Michael Egger-Zikes, and Rainer Hahnekamp.Together, we dive deep into:Signals – stabilization of APIs and the future of NgRx Signal StoreResource API – why it matters and what has changedZone-less – is it time to go without Zone.js?Incremental Hydration – how it works and whether SSR should always be usedDynamic Components – new possibilities in Angular 20Deprecations – *ngIf, *ngFor, *ngSwitch and Style Guide updatesTesting – is Vitest the new standard?And we look ahead: Signal Forms API, Selectorless Components, new authoring formats, and what to expect in Angular 21.This is a knowledge-packed conversation full of practice, insights, and forward-looking ideas — a must-listen for anyone who wants to understand where Angular is heading.#Angular #Signals #ZoneLess #WebDevelopment #AIConference #Angular20 #Podcast
Talk Python To Me - Python conversations for passionate developers
Twenty years after a scrappy newsroom team hacked together a framework to ship stories fast, Django remains the Python web framework that ships real apps, responsibly. In this anniversary roundtable with its creators and long-time stewards: Simon Willison, Adrian Holovaty, Will Vincent, Jeff Triplet, and Thibaud Colas, we trace the path from the Lawrence Journal-World to 1.0, DjangoCon, and the DSF; unpack how a BSD license and a culture of docs, tests, and mentorship grew a global community; and revisit lessons from deployments like Instagram. We talk modern Django too: ASGI and async, HTMX-friendly patterns, building APIs with DRF and Django Ninja, and how Django pairs with React and serverless without losing its batteries-included soul. You'll hear about Django Girls, Djangonauts, and the Django Fellowship that keep momentum going, plus where Django fits in today's AI stacks. Finally, we look ahead at the next decade of speed, security, and sustainability. Episode sponsors Talk Python Courses Python in Production Links from the show Guests Simon Willison: simonwillison.net Adrian Holovaty: holovaty.com Will Vincent: wsvincent.com Jeff Triplet: jefftriplett.com Thibaud Colas: thib.me Show Links Django's 20th Birthday Reflections (Simon Willison): simonwillison.net Happy 20th Birthday, Django! (Django Weblog): djangoproject.com Django 2024 Annual Impact Report: djangoproject.com Welcome Our New Fellow: Jacob Tyler Walls: djangoproject.com Soundslice Music Learning Platform: soundslice.com Djangonaut Space Mentorship for Django Contributors: djangonaut.space Wagtail CMS for Django: wagtail.org Django REST Framework: django-rest-framework.org Django Ninja API Framework for Django: django-ninja.dev Lawrence Journal-World: ljworld.com Watch this episode on YouTube: youtube.com Episode #518 deep-dive: talkpython.fm/518 Episode transcripts: talkpython.fm Developer Rap Theme Song: Served in a Flask: talkpython.fm/flasksong --- Stay in touch with us --- Subscribe to Talk Python on YouTube: youtube.com Talk Python on Bluesky: @talkpython.fm at bsky.app Talk Python on Mastodon: talkpython Michael on Bluesky: @mkennedy.codes at bsky.app Michael on Mastodon: mkennedy
For episode 590 of the BlockHash Podcast, host Brandon Zemp is joined by Jeff Handler, CCO of OpenTrade, an institutional-grade platform delivering real-world asset-backed yield on USDC, USDT, and EURC. ⏳ Timestamps: (0:00) Introduction(1:08) Who is Jeff Handler?(4:12) Importance of Yield-based Stablecoins(7:10) Typical clients(11:03) Stablecoin Yield use-cases in Colombia(15:22) Impact of the Genius Act(17:47) Future of RWAs in Finance(21:54) Onboarding for Clients(24:18) APIs & GraphQL(24:37) OpenTrade Roadmap(26:28) Events & Conferences(27:12) OpenTrade website & socials
In this episode of The Product Experience, Randy Silver and Lily Smith sit down with Katja Forbes, Executive Director at Standard Chartered Bank, design leader, and lecturer, to explore the fast-approaching world of machine customers.Katja shares why businesses must prepare for a future where AI agents, autonomous vehicles, and procurement bots act as customers, and what this means for product managers, designers, and organisations.Key takeawaysMachine customers are here already. From booking services for Tesla cars to procurement bots closing contracts, AI-driven commerce is no longer hypothetical.APIs are necessary but insufficient. Businesses need to think beyond plumbing and address trust, compliance, and customer experience for non-human agents.Signal clarity matters. Organisations must make their value propositions machine-readable to remain competitive.Trust will be quantified. Compliance signals, ESG proof, uptime guarantees, and reliability ratings will replace human gut instinct.New roles will emerge. Trust analysts and human–machine hybrid coordinators will be critical in shaping future interactions.Ethics cannot be ignored. Without careful design, agentic commerce could amplify consumerism and poor societal outcomes.Practical first step. Even small businesses can prepare by structuring their product and service data into machine-readable formats.Product managers must adapt. The skill to manage ambiguity, think systemically, and anticipate unintended consequences will be central to success.Featured Links: Follow Katja on LinkedIn | Katja's website | Sign-up for pre sale access to Katja's forthcoming book 'The CX Evolutionist'Our HostsLily Smith enjoys working as a consultant product manager with early-stage and growing startups and as a mentor to other product managers. She's currently Chief Product Officer at BBC Maestro, and has spent 13 years in the tech industry working with startups in the SaaS and mobile space. She's worked on a diverse range of products – leading the product teams through discovery, prototyping, testing and delivery. Lily also founded ProductTank Bristol and runs ProductCamp in Bristol and Bath. Randy Silver is a Leadership & Product Coach and Consultant. He gets teams unstuck, helping you to supercharge your results. Randy's held interim CPO and Leadership roles at scale-ups and SMEs, advised start-ups, and been Head of Product at HSBC and Sainsbury's. He participated in Silicon Valley Product Group's Coaching the Coaches forum, and speaks frequently at conferences and events. You can join one of communities he runs for CPOs (CPO Circles), Product Managers (Product In the {A}ether) and Product Coaches. He's the author of What Do We Do Now? A Product Manager's Guide to Strategy in the Time of COVID-19. A recovering music journalist and editor, Randy also launched Amazon's music stores in the US & UK.
Eric, Dave, and Marty speak about the new VisionOS 26 developer beta, talk about a potential YouTube app, and review Gurman's AVP/Meta comparison. NEWS this week Beta 8 came out today:https://developer.apple.com/documentation/visionos-release-notes/visionos-26-release-notes What's new from beta 7 → beta 8Release/build only: Beta 8 arrived Aug 25, 2025 as 23M5332a (beta 7 was Aug 18 as 23M5328a). Apple doesn't list any additional new features, APIs, or headline-level changes for beta 8 beyond the build bump. Tooling: The latest posted tools are still Xcode 26 beta 6 (17A5305f) from Aug 18; no newer Xcode dropped alongside beta 8. Practical takeFor users: Treat beta 8 as a stability/bug-fix pass—no Apple-documented user-facing additions over beta 7. For developers: Re-run regressions on areas you touched for beta 7 (e.g., CompositorServices hover/immersion behavior, ARKit Accessory Tracking, RealityKit popover/presentation components, RemoteImmersiveSpace stability, StoreKit's new promo-offer APIs). Those were the substantive changes in beta 7 and remain the focus with beta 8. Dave looks at F1https://tv.apple.com/us/movie/f1-the-movie/umc.cmc.3t6dvnnr87zwd4wmvpdx5cameVivo's Vision Pro clone costs $1,400 and weighs 398ghttps://9to5mac.com/2025/08/21/vivos-vision-pro-clone-costs-1400-and-weighs-398g/ Vivo's $1,400 Apple Vision Pro Clone Launches Across Chinahttps://forums.macrumors.com/threads/vivos-1-400-apple-vision-pro-clone-launches-across-china.2463751/ Vivo Vision Mixed-Reality Headset Steps Up to Apple, but Still a Tough Sellhttps://www.cnet.com/tech/computing/vivo-vision-mixed-reality-headset-steps-up-to-apple-but-still-a-tough-sell/#ftag=CAD590a51e Don't count out an M4-powered Apple Vision Pro just yethttps://9to5mac.com/2025/08/17/apple-vision-pro-upgrade/ Apple Vision Pro 2: The M5 Chip & Al Make It A MUST-BUYhttps://www.geeky-gadgets.com/apple-vision-pro-2-2/ Mark Gurman: Q&A on Apple's smart glasses and the Vision Prohttps://www.reddit.com/r/augmentedreality/comments/1mz4zp2/mark_gurman_qa_on_apples_smart_glasses_and_the/ Full Article: https://archive.is/u7oJXApple is Exploring the use of Intuitive Interfaces for a future Vision Pro device with Ul Controls embedded in a Touch-Sensitive side surfacehttps://www.patentlyapple.com/2025/08/apple-is-exploring-the-use-of-intuitive-interfaces-for-a-future-vision-pro-device-with-ui-controls-embedded-in-a-touch-sensit.html Hands on with Apple Vision Pro in the wildhttps://appleinsider.com/articles/23/08/18/hands-on-with-apple-vision-pro-in-the-wild Meta Has Already Won the Smart Glasses Racehttps://www.wired.com/story/meta-has-already-won-the-smart-glasses-race/ HBO launches Hogwarts Great Hall immersive environment for Apple Vision Prohttps://www.ithinkdiff.com/apple-vision-pro-hogwarts-great-hall/ Hogwarts Great Hall Opens To HBO Max Subscribers On Apple Vision Prohttps://www.uploadvr.com/hogwarts-great-hall-hbo-max/ ABO MAYS VISIONOS APP ON APPLE VISION PRO NOW FEATURES A 'HOGWARTS GREAT HALL' IMMERSIVE ENVIRONMENThttps://www.mactech.com/2025/08/21/hbo-maxs-visionos-app-on-apple-vision-pro-now-features-a-hogwarts-great-hall-immersive-environment/ Is a Native Vision Pro YouTube App Coming Soon? Exploring the Optionshttps://techannouncer.com/is-a-native-vision-pro-youtube-app-coming-soon-exploring-the-options/ Project Graveyard On Apple Vision Pro Is A Free Place For Dead Ideashttps://www.uploadvr.com/project-graveyard-apple-vision-pro-dead-things/ APPS What the car?https://apps.apple.com/us/app/what-the-car/id1534708672 PhotoDomehttps://apps.apple.com/us/app/photodome/id6748567431?uo=2 PhotoDome Immersive Photo Viewer tor Vision Prohttps://www.iphoneness.com/apple-vision-pro-apps/photodome/ MacStockMacstockconferenceandexpo.com Digital Pass https://macstockconferenceandexpo.com/product/macstock-ix-digital-pass/Email: ThePodTalkNetwork@gmail.comWebsite: ThePodTalk.NetYouTube.com/@VisionProFiles
Mike Cyger introduces Nerve.io. On today's show, domain investor and entrepreneur Michael Cyger introduces Nerve.io, a project he's been working on to make domain management and access through APIs easier. He explains the frustrations people have with domain registrar APIs and how Nerve can help people manage their portfolios or build applications. We also discuss […] Post link: Domain name nerve center – DNW Podcast #549 © DomainNameWire.com 2025. This is copyrighted content. Domain Name Wire full-text RSS feeds are made available for personal use only, and may not be published on any site without permission. If you see this message on a website, contact editor (at) domainnamewire.com. Latest domain news at DNW.com: Domain Name Wire.
### About the episode:Join Nataraj as he interviews Matt DeBergalis, CEO of Apollo GraphQL, about the evolution of GraphQL from an open-source project to a product company. Matt shares insights on building and scaling APIs, the challenges of transitioning open-source tech into a viable business, and how AI is reshaping API development. Discover how Apollo is helping companies of all sizes leverage GraphQL to build agentic experiences and modernize their API strategies.### What you'll learn- Understand the journey of GraphQL from open source to a product-driven company.- Explore the challenges of adopting and scaling GraphQL in enterprise environments.- Discover how GraphQL simplifies complex data combinations with its declarative language.- Learn how Apollo GraphQL helps companies accelerate the development of robust APIs.- Examine the role of GraphQL in building modern agentic experiences powered by AI.- Understand how to balance short-term shipping pressures with long-term architectural considerations.- Identify when GraphQL makes sense for a company based on its API size and consumption needs.- Discover how AI is driving increased API consumption and transforming user interfaces.### About the Guest and Host:Guest Name: Matt DeBergalis is the Co-founder and CEO of Apollo GraphQL, previously CTO and Co-founder at Meteor Development Group.Connect with Guest:→ LinkedIn: https://www.linkedin.com/in/debergalis/→ Website: https://www.apollographql.com/Nataraj: Host of the Startup Project podcast, Senior PM at Azure & Investor.→ LinkedIn: https://www.linkedin.com/in/natarajsindam/→ Twitter: https://x.com/natarajsindam→ Substack: https://startupproject.substack.com/→ Website: https://thestartupproject.io### In this episode, we cover(00:01) Introduction to Matt DeBergalis and Apollo GraphQL(00:37) Matt's journey and the origins of Apollo GraphQL(03:24) The transition from open source to a company(05:02) GraphQL as a client-focused API technology(07:22) Meta's approach to open source technologies(10:11) Challenges of converting open source to a business(13:11) Balancing shipping speed with architectural considerations(15:52) The risk of adopting the wrong technology(19:13) The evolution of full-stack development(23:57) When does adopting GraphQL make sense?(26:45) Apollo's customer scale and focus(31:48) Acquiring customers and marketing to developers(33:52) Matt's transition from CTO to CEO(37:02) Apollo's sales motion and target audience(40:24) Matt's thoughts on AI and its impact(47:12) How AI is changing business metricsDon't forget to subscribe and leave us a review/comment on YouTube Apple Spotify or wherever you listen to podcasts.#GraphQL #ApolloGraphQL #API #OpenSource #Enterprise #AI #AgenticAI #APIDevelopment #Startup #Technology #SoftwareDevelopment #GraphQLAdoption #Kubernetes #React #FullStack #DataAnalytics #Innovation #DigitalTransformation #TechStrategy #Podcast
Dave Sobel interviews John Harden, the director of strategy and technology evangelism at Auvik, discussing the evolution of SaaS management and its growing adoption in the industry. Since Auvik's acquisition of SaaSlio in 2022, the company has invested significantly in engineering efforts to enhance its SaaS management capabilities. Harden highlights the increasing need for visibility into SaaS applications due to rising cybersecurity threats and the growing importance of AI in business environments. He emphasizes that many organizations are now recognizing the necessity of understanding their SaaS assets, particularly in light of the proliferation of AI tools.The conversation delves into the different ways organizations are consuming AI, with smaller companies typically using AI through SaaS applications, while larger organizations may develop their own models via APIs. Harden explains how Auvik's SaaS management platform provides visibility into both categories, allowing businesses to monitor AI usage and manage potential risks associated with shadow IT. He also discusses the recent release of SaaSOps, which enhances visibility and integrates with popular tools to provide deeper insights into API usage and license management.As organizations begin to shift back to on-premises servers due to the high costs associated with AI workloads, Auvik has responded by introducing server management capabilities. Harden notes that this new feature allows for comprehensive monitoring of on-premises infrastructure, ensuring that businesses can effectively manage their IT assets regardless of where they are hosted. This adaptability is crucial as companies navigate the complexities of their IT environments, whether they are utilizing cloud services or traditional on-premises solutions.Looking ahead, Harden expresses optimism about the growth of compliance and governance, risk, and compliance (GRC) solutions, which he believes will foster stronger relationships between managed service providers (MSPs) and their clients. He emphasizes the importance of asset visibility in achieving compliance and cybersecurity goals, as well as in developing AI strategies. By continuing to expand its asset visibility portfolio, Auvik aims to support MSPs in meeting the evolving needs of their customers in a rapidly changing technological landscape. All our Sponsors: https://businessof.tech/sponsors/ Do you want the show on your podcast app or the written versions of the stories? Subscribe to the Business of Tech: https://www.businessof.tech/subscribe/Looking for a link from the stories? The entire script of the show, with links to articles, are posted in each story on https://www.businessof.tech/ Support the show on Patreon: https://patreon.com/mspradio/ Want to be a guest on Business of Tech: Daily 10-Minute IT Services Insights? Send Dave Sobel a message on PodMatch, here: https://www.podmatch.com/hostdetailpreview/businessoftech Want our stuff? Cool Merch? Wear “Why Do We Care?” - Visit https://mspradio.myspreadshop.com Follow us on:LinkedIn: https://www.linkedin.com/company/28908079/YouTube: https://youtube.com/mspradio/Facebook: https://www.facebook.com/mspradionews/Instagram: https://www.instagram.com/mspradio/TikTok: https://www.tiktok.com/@businessoftechBluesky: https://bsky.app/profile/businessof.tech
Talk Python To Me - Python conversations for passionate developers
Python's data stack is getting a serious GPU turbo boost. In this episode, Ben Zaitlen from NVIDIA joins us to unpack RAPIDS, the open source toolkit that lets pandas, scikit-learn, Spark, Polars, and even NetworkX execute on GPUs. We trace the project's origin and why NVIDIA built it in the open, then dig into the pieces that matter in practice: cuDF for DataFrames, cuML for ML, cuGraph for graphs, cuXfilter for dashboards, and friends like cuSpatial and cuSignal. We talk real speedups, how the pandas accelerator works without a rewrite, and what becomes possible when jobs that used to take hours finish in minutes. You'll hear strategies for datasets bigger than GPU memory, scaling out with Dask or Ray, Spark acceleration, and the growing role of vector search with cuVS for AI workloads. If you know the CPU tools, this is your on-ramp to the same APIs at GPU speed. Episode sponsors Posit Talk Python Courses Links from the show RAPIDS: github.com/rapidsai Example notebooks showing drop-in accelerators: github.com Benjamin Zaitlen - LinkedIn: linkedin.com RAPIDS Deployment Guide (Stable): docs.rapids.ai RAPIDS cuDF API Docs (Stable): docs.rapids.ai Asianometry YouTube Video: youtube.com cuDF pandas Accelerator (Stable): docs.rapids.ai Watch this episode on YouTube: youtube.com Episode #516 deep-dive: talkpython.fm/516 Episode transcripts: talkpython.fm Developer Rap Theme Song: Served in a Flask: talkpython.fm/flasksong --- Stay in touch with us --- Subscribe to Talk Python on YouTube: youtube.com Talk Python on Bluesky: @talkpython.fm at bsky.app Talk Python on Mastodon: talkpython Michael on Bluesky: @mkennedy.codes at bsky.app Michael on Mastodon: mkennedy
Scott and Wes tackle listener questions on everything from local-first databases and AI-built CRMs to protecting APIs and raising kids with healthy digital habits. They also weigh in on Cloudflare's AI crawler ban, portfolio critiques, and more hot takes from the dev world. Show Notes 00:00 Welcome to Syntax! 00:49 Dreaming about web components. 02:55 Local-First Apps for Customer Support. Brought to you by Sentry.io 08:17 AI-Built CRM: Portfolio or Problem? Ben Vinegar's Engineering Interview Strategy. 18:55 InstantDB vs. Other Local-First Databases. 21:46 Raising Kids with Healthy Digital Habits. Porta Potty Prince on TikTok. 32:55 Cloudflare Blocks AI Crawlers. Good for Creators? Cloudflare Pay Per Crawl. Cloudflare No AI Crawl Without Compensation. Chris Coyier's Blog Response. 41:46 Protecting APIs and Obfuscating Source Code. 44:49 Will Portfolio Critiques Return? 46:45 Sick Picks + Shameless Plugs. Sick Picks Scott: Wifi 7 Eero. Wes: Plastic Welder Shameless Plugs Scott: Syntax on YouTube Hit us up on Socials! Syntax: X Instagram Tiktok LinkedIn Threads Wes: X Instagram Tiktok LinkedIn Threads Scott: X Instagram Tiktok LinkedIn Threads Randy: X Instagram YouTube Threads
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