Podcasts about Apis

The latest In Touch With iOS with Dave he is joined by Jill McKinley, Chuck Joiner, Jeff Gamet, Eric Bolden, Marty Jencius.In Episode 396, the panel covers a packed week of Apple updates including VisionOS 26.2 beta 3, iOS/iPadOS 26.2 features, and AirPods Pro firmware changes. Jill and Eric share their joint Vision Pro demo adventure, the team debates macOS Tahoe instability and Apple's controversial liquid-glass icon redesign, everyone weighs in latest AI news from OpenAI (GPT-5.1) Google Gemini 3. We explore digital driver's licenses arriving in Illinois, MLB's new broadcast deals with ESPN & Netflix, and a surprising new cross-platform file-sharing capability between iPhone and Android. The show notes are at InTouchwithiOS.com  Direct Link to Audio  Links to our Show Give us a review on Apple Podcasts! CLICK HERE we would really appreciate it! Click this link Buy me a Coffee to support the show we would really appreciate it. intouchwithios.com/coffee  Another way to support the show is to become a Patreon member patreon.com/intouchwithios Website: In Touch With iOS YouTube Channel In Touch with iOS Magazine on Flipboard Facebook Page BlueSky Mastodon X Instagram Threads Summary This week's episode dives into an unusually busy stretch across Apple hardware, software, AI, and ecosystem services. The show opens with Vision Pro news as visionOS 26.2 beta 3 arrives days after the other platform betas. Marty reports improvements like developer cable speed fixes and faster 2D-to-3D photo conversion. Jill and Eric recount their in-person meetup where Jill experienced a fully guided Vision Pro demo — including immersive video, spatial room exploration, and plenty of curious stares from coffee-shop onlookers wondering why Jill was "peering into invisible walls." The group then turns to iOS/iPadOS 26.2, covering new AirDrop temporary-share capabilities, privacy notice updates, hypertension notification APIs, new Japanese voice-assistant options, improvements to Liquid Glass UI effects, and multitasking enhancements like the return of Slide Over on iPad. AirPods Pro 3 beta firmware triggers a discussion on instability, unwanted auto-switching, and how firmware installs appear to now proactively ask users whether they want to participate. The episode shifts to macOS Tahoe 26.2, where Jeff vents about daily crashes, memory leaks, and wake-from-sleep failures — while others report fewer issues, sparking a possible exploration of third-party apps as the culprit. The panel also critiques Apple's polarizing icon redesign in Tahoe, agreeing that many icons look bland, boxed-in, and violate Apple's own historical Human Interface Guidelines. A major section of the show covers AI developments: • OpenAI GPT-5.1 — faster, more conversational, new tone presets (professional, candid, quirky), and "thinking mode" for deeper answers. • Google Gemini 3 Pro — improved multimodal reasoning, search integrations, and cloud-based inference. Jeff notes concerns about AI systems becoming overly anthropomorphic, while Jill admits she set her GPT tone to "nerdy" and likes it. Next, Apple's rollout of driver's licenses in Wallet hits Illinois, making it one of the largest states to adopt the feature. Dave describes server delays on launch day, and the panel discusses TSA compatibility, app differences between states, privacy details displayed, and state-by-state rollout inconsistencies. Sports streaming news surfaces as MLB renews contracts with ESPN, Netflix, and NBCUniversal, while also confirming Friday Night Baseball stays on Apple TV through 2028. The group reflects on the chaos of watching live sports across too many services and whether future licensing will simplify or worsen the landscape. The episode closes with Google's surprising announcement that iPhone ↔ Android file transfers via AirDrop/Quick Share are now possible on Pixel 10 devices. The panel predicts Apple will likely break this "for security reasons," especially considering regulatory scrutiny in the EU. Topics and Links

When it comes to connecting warehouse systems, few companies are tackling the challenge as directly as TrackStar. In this episode of The New Warehouse Podcast, Kevin chats with Jeremy Schneck and Daniel Langer, Co-Founders of TrackStar, about how they're simplifying integrations across the fragmented WMS landscape. The discussion explores TrackStar's journey from a startup pivot to a Y Combinator-backed company, the growing role of APIs in supply chain connectivity, and how universal APIs are driving the next wave of warehouse innovation.Learn more about Endpoint and give Gary a break here. Get your free ID Label sample right here. Follow us on LinkedIn and YouTube.Support the show

Puedes vernos o escucharnos desde ahora en la nueva app Be Native. Descárgala ya desde el App Store: Be Native. El 13 de noviembre de 2025, Apple hizo algo histórico: lanzar el Programa de Mini Apps con comisión del 15% (la mitad de lo habitual) y actualizar las App Review Guidelines de forma radical. En este episodio te explicamos TODO lo que necesitas saber como desarrollador iOS.

This week Rewarded Video Ads rolled out to everyone, developers got better tools to reimport meshes, content sharing APIs were released to make our own versions of Roblox Moments, Today's Picks in the avatar marketplace is going festive, Studio Script Sync is in beta, game page videos got an upgrade and Roblox have opened up the ability to opt-in game passes for Robux purchases.Chapters:(00:00) Intro(01:13) Monetisation - Rewarded Video Ads(07:57) Studio - Reimport Beta(14:42) Moments - Content Sharing API(19:41) Marketplace - Evolving Today's Picks(22:58) Roblox Trivia(28:30) Studio - Script Sync Beta(34:52) Game Page - Video Previews(40:37) Monetisation - Robux and Gamepass Bundles(44:43) OutroSeason 3 Episode 8Sources:- Rewarded Video Ads— https://devforum.roblox.com/t/rewarded-video-ads-are-now-available-to-all-ads-eligible-creators/4063278- Studio Reimport (beta)— https://devforum.roblox.com/t/studio-beta-reimport-one-click-updates-for-imported-3d-content/4068650- Content Sharing APIs (beta)— https://devforum.roblox.com/t/beta-content-sharing-apis-use-upload-api-and-recommendations-api-to-drive-discovery-and-engagement/4065417- Marketplace Today's Picks— https://devforum.roblox.com/t/evolving-today%E2%80%99s-picks-in-marketplace/4063692— Submit nominations: https://survey.roblox.com/jfe/form/SV_8cZb94oj9OvQm9g- Studio Script Sync (beta)— https://devforum.roblox.com/t/studio-script-sync-now-in-beta/4065468- Video Previews— https://devforum.roblox.com/t/video-previews-for-your-games-page/4068103- “Buy Robux” Pass Bundles— https://devforum.roblox.com/t/opt-in-your-passes-for-the-buy-robux-page/4065622Hosts:- Adam (BanTech): https://lastlevel.co.uk/adam- Fedor (LoadingL0n3ly): https://x.com/LoadingL0n3ly----------------------------Watch or listen wherever you get your podcasts.Visit https://lastlevel.co.uk/podcast for more.Join the Discord: https://discord.lastlevel.co.ukBeyond The Blox is produced by Seb Jensen for Last Level Studios.

In this episode of The Marketing Factor, Austin Dandridge sits down with Julian Modiano founder of Acuto and Weavely to unpack the future of data, automation, and AI inside modern marketing agencies.Julian's rare background blends deep PPC experience from Merkle and Brainlabs with true engineering chops as a Google Cloud developer — giving him a uniquely technical and marketer-centric view of what agencies actually need. We cover data warehousing, MMM vs attribution models, AI slop, automation pitfalls, BigQuery, Looker, TikTok's rise, and whether agencies should hire developers. This episode is loaded with practical insights for performance marketers, operators, founders, and anyone building the “agency of the future.”

⚙️ Optimizing Data for Better ROI and Efficiency

Dell Technologies has unveiled enhancements to the Dell AI Factory designed to simplify and accelerate the enterprise AI journey. These portfolio additions boost performance and automation for AI workloads while removing bottlenecks, delivering greater control with integrated, resilient on-premises infrastructure. Why it matters In today's digital landscape, organisations increasingly rely on AI to stay competitive and foster innovation. The momentum is clear with 85 percent of enterprises planning to move AI on-premises within the next 24 months. Seventy-seven per cent of those seeking AI are looking for one holistic infrastructure vendor to provide capabilities across their AI journey. Dell's expanded portfolio addresses these needs with the industry's broadest end-to-end AI portfolio designed to streamline AI adoption and deliver impactful results. Simplified and automated AI journey The Dell Automation Platform, now expanded to the Dell AI Factory, will deliver smarter, more automated experiences by deploying validated, optimised solutions with a secure framework. This approach will produce repeatable outcomes, eliminate guesswork, and help unlock the full potential of AI-driven use cases across Dell's ecosystem of technology partners. Key advancements include: Software-driven tools like the AI code assistant with Tabnine and agentic AI platform with Cohere North are now automated, getting AI workloads into production faster, streamlining operations and enhancing scalability. Dell Professional Services provide turnkey interactive AI use case pilots using real customer data to validate business value ahead of scaled investments. These expert-led pilots offer a hands-on preview for experimentation with clear success metrics and KPIs, delivering tangible ROI. Breakthrough performance and efficiency for AI workloads Enhanced Data Management: How organisations manage, secure and scale that data will separate the winners from the laggards. Updates to Dell PowerScale and Dell ObjectScale, the Dell AI Data Platform's storage engines, boost performance, scalability, and data discovery capabilities. Dell PowerScale will soon be available as an independent software license on qualified Dell PowerEdge servers like the Dell PowerEdge R7725xd. This news is the latest in Dell software-driven storage innovation following the announcement of a new software-defined Dell ObjectScale. These new Dell PowerScale and Dell ObjectScale configurations will help organisations like cloud service providers realise even greater AI performance while having the flexibility to adopt the latest server and networking technologies to meet infrastructure needs. Dell PowerScale parallel NFS (pNFS) support with Flexible File Layout will enable two-way communication between the metadata server and client, allowing for better parallel distribution of data across multiple nodes in a PowerScale cluster. Deliver significant throughput, performance gains and linear scalability with parallel I/O across multiple pathways. This update is designed to provide increased parallelism, delivering massive scalability and throughput tailored for demanding AI workflows. Dell ObjectScale AI-Optimised Search offers two complementary AI-optimised search capabilities for Dell ObjectScale storage - S3 Tables and S3 Vector. These two specialised APIs provide high-speed access to complex data stored directly on ObjectScale to support analytics and key AI workloads like inferencing and retrieval-augmented generation (RAG), empowering faster decision-making and easier storage, retrieval and search of expanding datasets. PowerEdge Innovations: Dell PowerEdge servers provide the foundation for enterprise AI, delivering faster training, distributed inference and reduced time to insights - all while offering flexible cooling options to align with diverse enterprise strategies: Dell PowerEdge XE9785 and XE9785L are purpose-built for next-generation AI and HPC workloads. The air-cooled XE97...

¿Es momento de actualizar a .NET 10? Sin duda. En este video analizamos las novedades más importantes de .NET 10 y por qué esta versión LTS (Soporte a Largo Plazo) es fundamental para la estabilidad y futuro de tus aplicaciones. Abordamos: C# 14, las mejoras de rendimiento, y cómo los cambios en la plataforma impactan la línea de tiempo de soporte hasta finales de 2028. El futuro de la plataforma explicado en pocos minutos.ENLACES:- El podcast del año pasado sobre .NET 9, para que puedas comparar: https://www.youtube.com/watch?v=NL_lPFrD5U0- El artículo sobre .NET 10: https://www.campusmvp.es/recursos/post/net-10-informe-tecnico-para-desarrolladores-novedades-y-mejoras-importantes.aspx- El artículo sobre .NET 9 del año pasado: https://www.campusmvp.es/recursos/post/net-9-ya-esta-aqui-que-novedades-trae-y-que-esperar-de-esta-version.aspxSECCIONES00:00 Intro al experimento en este podcast03:09 Una petición amable05:25 Novedades de .NET 10: la versión "más productiva"06:03 C#: La revolución de los scripts en un solo archivo07:04 C# 14: las novedades para escribir menos código (field, ?.=)08:05 ASP.NET Core y Minimal APIs: más sencillas, más robustas09:05 Blazor: cómo simplificar la persistencia del estado (¡Magia!)10:07 ¿Merece la pena actualizar? La clave del soporte LTS10:41 Conclusión

Gemini 3 is officially here. ✨ ✨ ✨For about 8 months, Gemini 2.5 Pro has mostly maintained its standing as the top LLM in the world yet Google just unleashed its successor in Gemini 3.0. So, what's new in Gemini 3? And whether you're a developer or casual user, what does Google's new model unlock? Join us as we chat with Google's Logan Kilpatrick's for all the answers. Gemini 3: What's new and what it unlocks for your business with -- An Everyday AI Chat with Google DeepMind's Logan Kilpatrick and Jordan WilsonNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Thoughts on this? Join the convo and connect with other AI leaders on LinkedIn.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:Gemini 3 Release Overview & FeaturesState-of-the-Art AI Benchmarks ExceededGemini 3 in Google Ecosystem ProductsGemini 3 Vibe Coding Capabilities DemoNon-Developer Use Cases for Gemini 3Multimodal Understanding and VisualizationsAgentic AI Tools: Gemini Agent & Anti GravityBusiness Growth with Gemini 3 AI IntegrationTimestamps:00:00 Gemini 3: State-of-the-Art AI05:59 "Gemini 3: Build Ambitiously"08:16 "AI Studio: Bringing Ideas Alive"12:44 Gemini App Agents & Anti-Gravity14:57 "Enhancing AI as a Thought Partner"17:01 AI Studio: Build Apps FasterKeywords:Gemini 3, Gemini 3 Pro, Google AI, AI Studio, Vibe Coding, multimodal model, agentic coding, tool calling, anti gravity, generative interfaces, Gemini app, APIs, AI capabilities, interactive experience, visual dashboard, bespoke visualization, state-of-the-art model, developer platform, agentic developer tools, benchmark results, code editor, IDE integration, product experiences, infrastructure teams, triage inbox, personal assistant, proactive agents, 2.5 Pro, model capability, product feedback, code generation, gallery applets, build mode, ambition in AI, software engineering, feature enhancement, thought partner, AI-powered building, on demand experience, interactive visualizations, coding advancements, user engagement, real-time rollout.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Head to AI.studio/build to create your first app.  Head to AI.studio/build to create your first app. 

What You'll Learn- Why legacy commerce APIs and EDI no longer suffice in today's fragmented commerce landscape- How AI and emerging protocols like MCP are accelerating the need for real-time fulfillment integration- The structure, tools, and resources defined by OnX for seamless order management across ecosystems- The nonprofit "business league" legal framework that keeps OnX vendor-agnostic and collaborative- The challenges commerce platforms face with OMS integrations and how OnX aims to reduce friction- The shift from platform-centric to protocol-centric commerce enabled by open standards- How industry players—brands, 3PLs, ERP, WMS, and commerce platforms—are rallying behind OnXHihghlights- 00:00 — Welcome, introduction to Kelly Goetsch and the focus: “Connected Commerce”- 02:00 — The fragmentation problem: marketplaces, social commerce, AI, and legacy EDI- 04:00 — The rise of MCP and Agentic Commerce Protocol as enablers for a new standard- 06:00 — Building a “big tent” network: OMS, 3PLs, WMSs, ERPs connectivity challenges- 10:00 — Commerce platform vs fulfillment backend: the tech and mindset divide- 14:00 — What is OnX? Tools, resources, member base, and the standard's scope- 18:00 — How MCP makes OnX possible, collapsing layers between selling and fulfillment- 22:00 — OnX's “business league” structure explained- 24:00 — Platform, payment, and AI player involvement and adoption challenges- 28:00 — How to participate: advisory boards, GitHub access, and community involvement- 30:00 — The future of connected commerce and invitation to join OnXQuotes[00:02:00]: "If the last decade was about composable commerce, the next one is about connected commerce." - Ninaad [00:04:00]: "AI is the reason for both of these. We're really, really collapsing down." - Kelly Goetsch [00:10:00]: "About 70% of enterprise brands still run point-to-point integration, and that has its own set of challenges." - Ninaad [00:22:00]: "The benefit of that is: we, as a community, get together and evolve and change as technology changes. And that's great." - Kelly Goetsch About the GuestKelly Goetsch is a technologist and strategist shaping the future of digital commerce and order fulfillment. Known for his leadership in the MACH Alliance and now Pipe17, Kelly has been a central voice in evolving commerce technology standards. He currently chairs the Commerce Operations Foundation, driving the development and adoption of the OnX standard for connected commerce.Links Mentioned- Commerce Operations Foundation website: commerceopsfoundation.org- Commerce Operations Foundation GitHub: github.com/commerceopsfoundation- Kelly Goetsch on LinkedIn: linkedin.com/in/kgoetsch- MACH Alliance: machalliance.org  Subscribe and Keep Learning!If you're a logistics leader looking to scale sustainably, don't miss out! Subscribe for more expert strategies on tackling modern supply chain challenges.Be sure to follow and tag the eCom Logistics Podcast on LinkedIn and YouTube

Send us a textIn this special in-person episode of The MLO Project, Frazier and Michael sit down with Florida broker and First Coast Mortgage co-founder Jason Kindler, live from Idaho at the High Table mastermind. It's a no-fluff conversation about leadership, building efficient operations, crushing limiting beliefs, and redefining what's possible for mortgage companies heading into 2026.Kindler opens up about his personal and professional journey, including surviving the crash, getting sober, and rebuilding with intention. He shares how he's preparing his team to not just survive the next boom—but scale it, stress-free. This is a raw, strategic, and transparent deep dive into the mindset and systems that separate stagnant shops from future-proof machines.Key Topics Covered:Why operational efficiency isn't optional anymoreBuilding a tech-enabled brokerage that can scale without breakingHow small brokers can compete with big retail opsWhy speed still kills—and slow still losesAI, APIs, and building the “ideal” experiencePersonal resilience: Jason's journey through addiction and recoveryLaunching a coaching portal powered by AI + years of hard-won experienceWhy most brokerages wait too long to invest in infrastructureWhy perfect doesn't exist—but the ideal is realTactical Nuggets:Designing operational models that absorb 40–50 loans overnight without chaosHow to structure teams so originators get the support they deserveWhy it's time to unlearn what worked in the pastHow Kemmer is using two years of coaching transcripts to build a GPT-powered training hubPlanning for efficiency now so you're not scrambling when the boom hitsBig Quote:“You're 100% in control of your income. I don't care what the market's doing. I've had great years in this market—and so have others. It's mindset and execution. Period.” – Jason KemmerGuest Plug:Jason is building a full coaching platform loaded with systems, calculators, AI tools, and years of strategic content for loan officers and team leaders. Connect with him on social to learn more and get on the early list.https://firstcoastmortgagefunding.com/KindlerCoaching

Frank Sentner joins the Coterie Insurance podcast for the second time. Speaking with Bobbie Collies, Frank dives into discussing his thoughts on data standardization, innovation and change in the industry. Frank has extensive experience in the insurance technology sector, and brings a lot of background and knowledge to this episode. He highlights the importance of technology, particularly APIs and data standardization, in transforming the insurance landscape. Frank also explores the future of insurance, where data becomes a commodity and the role of AI in enhancing customer experiences. He advocates for a collective approach to data rights and the necessity for the industry to adapt to new technologies and practices.Thank you to Frank for his thoughts on data and where the insurance industry is today.Follow Coterie Insurance on LinkedIn.

In this episode of Technology Reseller News, Publisher Doug Green speaks with Jason Goecke, CTO and Robert Galop, CPO of Creo Solutions, about why vCons (virtual conversations) represent a “golden grail” revenue opportunity for service providers, MSPs, and telcos. Drawing on decades of telecom and CPaaS experience, the Creo team explains how their company was founded to help providers “2x their revenue” by layering practical AI, automation, and data intelligence on top of existing communications services. Their focus today: turning the billions of conversations crossing telecom networks into actionable business value. The discussion centers on vCons as a standard container for conversation data—not just recordings, but transcripts, metadata, compliance controls, and context. On their own, vCons “don't do anything,” as Galop notes, but once you analyze them at scale with AI, they reveal issues and opportunities that would otherwise stay invisible. In one deployment, a service provider believed they had excellent first-call resolution; Creo's analytics showed that agents were only truly resolving about 24% of calls, with 76% generating follow-ups and extra work. In another case, the very first processed call exposed a serious security gap: an agent forwarding a main number without validating the caller's identity. “Conversations have been dark data,” Goecke explains. “Now you can light up every conversation and drive value from it.” Creo's Pulse Conversation Intelligence platform (part of its broader Intelligence Cloud) is designed to make this revenue opportunity turnkey for providers. Rather than asking carriers or MSPs to build AI infrastructure, Creo takes in CDRs and call recordings (or vCons directly), handles speech-to-text, diarization, vCon creation, and then runs domain-specific analytics. Service providers can immediately offer offerings such as: 100% QA coverage for contact centers (versus the typical 2%), AI note-taking and action items for every voice call (not just Zoom/Teams meetings), and deep baseline insight into what's actually happening across sales, support, and operations. APIs and webhooks then allow these insights and summaries to flow into CRMs, bots, workflow engines, and custom applications, enabling personalized experiences and smarter automation without the customer needing to “speak AI.” A key message for MSPs and channel partners is that they don't need to be AI experts to sell and deploy this. Creo positions itself as a native AI company, using AI throughout its own development and delivery processes so that partners can simply deliver better outcomes: more meetings booked, better QA coverage, reduced manual note-taking, improved compliance, and richer customer journeys. “That really makes it easy for the service providers,” Goecke notes. “We're scratching a lot of very important itches—QA, notes, follow-up—and, oh by the way, it's all AI-forward.” For service providers looking to turn vCons from theory into concrete, recurring revenue in 2026, Creo Solutions invites listeners to learn more at https://www.creosolutions.tech/ and explore the Pulse platform at https://intelligence.cloud/.

Thomas Monz, CEO of AQT (Alpine Quantum Technologies), joins Sebastian Hassinger on The New Quantum Era to chart the evolution of ion-trap quantum computing — from the earliest breakthroughs in Innsbruck to the latest roll-outs in supercomputing centers and on the cloud. Drawing on a career that spans pioneering research and entrepreneurial grit, Thomas details how AQT is bridging the gap between academic innovation and practical, scalable systems for real-world users. The conversation traverses AQT's trajectory from component supplier to systems integrator, how standard 19-inch racks and open APIs are making quantum computing accessible in Europe's top HPC centers, what Thomas anticipates from AQT launching on Amazon Braket, a quantum computing service from AWS, and what it will take for quantum to deliver genuine economic value.Guest Bio  Thomas Monz is the CEO and co-founder of AQT. A physicist by training, his work has helped transform trapped-ion quantum computing from a fundamental research topic into a commercially viable technology. After formative stints in quantum networks, high-precision measurement, and hands-on engineering, Thomas launched AQT alongside Peter Zoller and Rainer Blatt to make robust, scalable quantum computers available far beyond the university lab. He continues to be deeply engaged in both hardware development and quantum error correction research, with AQT now deploying systems at EuroHPC centers and bringing devices to Amazon Braket.Key Topics  From research prototype to rack-ready: How the pain points converting lab experiments into user-friendly hardware led AQT to build its quantum computers in the same form factors and standards as classical infrastructure, making plug-and-play integration with the supercomputing world possible.  Hybrid quantum–HPC deployments: Why systems-level thinking and classic IT lessons (such as respecting 19-inch rack and power standards) have enabled AQT to place ion-trap quantum computers in Germany and Poland as part of the EuroHPC initiative — and why abstraction at the API level is essential for developer adoption.  Error correction and code flexibility: How the physical properties of trapped ions let AQT remain agnostic to changing error-correcting codes (from repetition and surface codes to LDPC), enabling swift adaptation to new breakthroughs via software rather than expensive new hardware — and why end-users should never have to think about error correction themselves.  Scaling and networking: The challenges moving from one-dimensional to two-dimensional traps, the emerging role of integrated photonics, and AQT's vision for interconnecting quantum computers within and across HPC sites using telecom-wavelength photons.  From local to cloud: What AQT's move to Amazon Braket means for the range and sophistication of end-user applications, and how broad commercial access is shifting priorities from scientific exploration to real-world performance and customer-driven features.  Collaboration as leverage: How AQT's open approach to integration—letting partners handle job scheduling, APIs, and orchestration—positions it as a technology supplier while benefiting from advances across Europe's quantum ecosystem.Why It Matters  AQT's journey illustrates how “physics-first” quantum innovation is finally crossing into scalable, reliable real-world systems. By prioritizing integration, user experience, and abstraction, AQT is closing the gap between experimental platforms and actionable quantum advantage. From better error rates and hybrid deployments to global cloud infrastructure, the work Thomas describes signals a maturing industry rapidly moving toward both commercial impact and new scientific discoveries.Episode Highlights  How Thomas's PhD work helped implement the first three-qubit ion-trap gates and formed the foundation for AQT's technical strategy.  The pivotal insight: moving from bespoke lab systems to standardized products allowed quantum hardware to be deployed at scale.  The surprisingly smooth physical deployment of AQT machines across Europe, thanks to a “box-on-a-truck” design.  Real talk on error correction, the importance of LDPC codes, and the flexibility built into trapped-ion architectures.  The future of quantum networking: sending entangled photons between HPC facilities, and the promise of scalable cluster architectures.  What cloud access brings to the roadmap, including new end-user requirements and opportunities for innovation in error correction as a service.---- This episode offers an insider's perspective on the tight coupling of science and engineering required to bring quantum computing out of the lab and into industry. Thomas's journey is a case study in building both technology and market readiness — critical listening for anyone tracking the real-world ascent of quantum computers. In the spirit of full disclosure, Sebastian is an employee of AWS, working on quantum computing for the company, though he is not a member of the Braket service team. 

Not all applications are created equal. Some applications process transactions and maintain state, while others aim to deliver content, data, or experiences to users. For software architects and engineering leaders, recognizing these core application types is essential for making informed decisions regarding scalability, infrastructure, security, and data management. Understanding whether an application is experiential or transactional influences its design and architecture. This distinction is vital for ensuring that applications meet user expectations effectively and efficiently.Understanding the distinction between experiential and transactional applications is crucial for software architects and engineering leaders. Each type of application serves a different purpose and is designed to meet specific user expectations. Experiential applications aim to keep users engaged for extended periods, providing value through interaction and content delivery. Examples include social media platforms, where the longer users stay, the more advertising revenue the platform generates. The architecture of such applications needs to prioritize low latency, high availability, and the ability to deliver personalized content efficiently. This requires strong data management practices and the use of advanced technologies like machine learning to enhance user experience.On the other hand, transactional applications focus on speed and efficiency. They are designed for users to complete tasks quickly, such as checking an order status or making a purchase. The underlying architecture must ensure reliability and data integrity, as even minor delays can frustrate users. Key architectural considerations for transactional applications include low latency APIs, robust database management for consistency, and the ability to handle asynchronous processes effectively. Understanding these differences is essential for architects to design systems that align with user expectations and business goals.The implications of choosing the right application type extend beyond product management; they are foundational to the overall architecture and infrastructure strategy. A misalignment can lead to performance issues and user dissatisfaction, making it vital for software leaders to understand not just how to build functional software but how to build software that meets the specific needs of its users. As we explore these themes, we recognize that the architectural decisions made today will shape the user experiences of tomorrow, influencing everything from scalability to data management.Takeaways: Not all applications are created equal; they serve different purposes and user needs. Experiential applications aim to engage users for longer periods, enhancing value over time. Transactional applications prioritize speed and efficiency, allowing users to complete tasks quickly. Understanding the type of application informs architectural decisions about scalability and data management. Application design impacts user experience; architects must align their strategies with user expectations. Misaligning application type with architectural choices can lead to performance and satisfaction issues. Links referenced in this episode:softwarearchitectureinsights.comCompanies mentioned in this episode: Amazon.com Mentioned in this episode:How do you operate a modern organization at scale?Read more in my O'Reilly Media book "Architecting for Scale", now in its second edition. http://architectingforscale.com Architecting for Scale

How do you run a $2 trillion segment of the economy with just a book?In today's episode of Bricks and Bytes, we had Dmitry Alexin from Handoff and we got to learn about how AI is transforming residential construction, why 90% of US construction firms are one-person operations struggling with back-office work, and how a former IMF economist ended up building technology that delivers cost estimates in 30 seconds... and many more!Tune in to find out about:✅ Why traditional construction cost data is stuck in the physical book era and how real-time APIs are changing the game✅ How contractors can now delegate entire workflows to an AI agent through simple voice commands while driving between jobs✅ Why selling to residential contractors requires throwing out the enterprise playbook and leading with instant product value✅ The surprising shift of professionals from marketing and accounting backgrounds entering residential construction with a software-first mindsetWatch now to hear Dmitry's journey from GDP forecasting during the Ebola pandemic to revolutionizing how residential contractors run their businesses.Our Sponsor: Archdesk -  “The #1 Construction Management Software for Growing Companies - Manage your projects from Tender to Handover” check archdesk.comBuildVision -   streamlining the construction supply chain with a unified platform - www.buildvision.ioAphex is the multiplayer planning platform where construction teams plan together, stay aligned, and deliver projects faster – check out aphex.coChapters00:00 Intro03:40 Introduction to Handoff and Its Purpose06:41 Dmitry's Background and Transition to Construction09:30 The Data Challenge in Construction12:49 Building the First Real-Time API for Construction Prices15:35 The Evolution of Handoff and Its Features18:37 The Importance of Accurate Estimating21:37 The Role of AI in Construction Estimating24:40 Understanding Labor and Material Costs27:32 Streamlining Procurement Processes30:36 Product-Led Growth Strategy33:35 Overcoming Skepticism in the Industry37:55 Leading with Value: Product-Led Growth38:42 Go-To-Market Strategies: Finding Your Audience43:24 Targeting Residential Contractors: A Strategic Choice46:54 The Role of AI Agents in Construction Tech49:25 Learning from Failures: Experimentation in Startups55:35 Future of Construction: Robotics and Material Science58:60 Funding Insights: Building a Diverse Investor Base01:05:05 Advice for Technical Founders: Embracing Humility01:07:15 Join the Team: Opportunities at Handoff

Keith discusses the evolving role of AI in real estate, highlighting its impact on property management and tenant interactions.  He contrasts traditional AI, which excels in IQ tasks but lacks emotional intelligence (EQ), with agentic AI, which can perform autonomous actions. Dana Dunford, CEO of Hemlane, explains how their platform uses AI to streamline repair requests, leasing, and tenant communication. She emphasizes the importance of human oversight for tasks requiring EQ.  Looking ahead, Dana predicts increased standardization and remote-first investing, with technology playing a crucial role in enhancing real estate management efficiency. Resources: Explore Hemlane's property management platform and request a demo at www.hemlane.com  Mention the GRE podcast when signing up with Hemlane to receive a 20% discount on the first year. Episode Page: GetRichEducation.com/580 For access to properties or free help with a GRE Investment Coach, start here: GREmarketplace.com GRE Free Investment Coaching: GREinvestmentcoach.com Get mortgage loans for investment property: RidgeLendingGroup.com or call 855-74-RIDGE  or e-mail: info@RidgeLendingGroup.com Invest with Freedom Family Investments.  For predictable 10-12% quarterly returns, visit FreedomFamilyInvestments.com/GRE or text  1-937-795-8989 to speak with a freedom coach Will you please leave a review for the show? I'd be grateful. Search "how to leave an Apple Podcasts review"  For advertising inquiries, visit: GetRichEducation.com/ad Best Financial Education: GetRichEducation.com Get our wealth-building newsletter free— GREletter.com or text 'GRE' to 66866 Our YouTube Channel: www.youtube.com/c/GetRichEducation Follow us on Instagram: @getricheducation Complete episode transcript:   Keith Weinhold  0:01   Keith, welcome to GRE. I'm your host. Keith Weinhold, what will real estate look like in five years as AI keeps making inroads into our lives, learn how people have begun using it to manage their rental properties and doing it more cost effectively than humans can. It's a forward looking episode today on get rich education.   Speaker 1  0:26   Since 2014 the powerful get rich education podcast has created more passive income for people than nearly any other show in the world. This show teaches you how to earn strong returns from passive real estate investing in the best markets without losing your time being a flipper or landlord. Show Host Keith Weinhold writes for both Forbes and Rich Dad advisors, and delivers a new show every week since 2014 there's been millions of listener downloads of 188 world nations. He has a list show guests include top selling personal finance author Robert Kiyosaki. Get rich education can be heard on every podcast platform, plus it has its own dedicated Apple and Android listener phone apps build wealth on the go with the get rich education podcast. Sign up now for the get rich education podcast, or visit get rich education.com   Corey Coates  1:11   You're listening to the show that has created more financial freedom than nearly any show in the world. This is get rich education.   Keith Weinhold  1:27   Welcome to GRE from Long Island's Hamptons to Hampton Roads, Virginia and across 188 nations worldwide. I'm Keith Weinhold, and you are listening to get rich education way back in the year 2010 when someone said AI, that could only mean one thing they were talking about, Alan Iverson today, it means artificial intelligence, because chatgpt debuted three years ago this month, and gosh, that changed a lot. It changed how you search for answers to everyday questions. We'll get into applying AI to real estate and property management shortly. But more broadly, look, here's what's interesting, the very premise of a chat bot, like just hearing that word, it sounds really cold and impersonal, yet think about it, Google was way less personal. When you Google something a decade ago, say list the three best paints for drywall, you'd get a list of links, and then you had to dig in and synthesize things and often interpolate to find your answer, or maybe you wouldn't even get the right answer. Instead, today, a chatbot on chatgpt or Gemini gives you the answer in nice, friendly sentences. Maybe they'll list some acrylic and latex paint varieties, and then after the answer, they come back and ask you a good follow up question. If you'd like to dig in for a deeper answer, they'll bring up something that you hadn't considered before, perhaps like it'll turn around and ask you if you want them to refine their answer to just the best latexes and acrylics specifically for rentals. And then it will ask, Would you like me to do that for you? And when you see that, you quickly feel like it's more friendly than that old list of links from a Google search. Yeah, that's a friendly Chatbot. And you can start to see what I mean here. It's not so cold and impersonal. Understand that these platforms ask you a friendly follow up question, because they want to keep you on that platform, just like anywhere else, does you already hear less about hallucinations than you used to when it would just cough up these weird errors? I feel like it's giving better answers than it did just a year or two ago. In my experience, one place where you need to be careful is that these platforms are being so nice to you at times they seem a little too agreeable. One way to break that is to tell the AI challenge my thinking, just those three words can give you a more complete answer. Challenge my thinking, as we already know, one danger about AI is everyone is quickly becoming really reliant on it, and this could be especially harmful to kids that haven't developed independent skills yet. Now I heard from a young teacher who quit her job. A lot of kids don't know how to read today. Why would they when they can just hit a button and it reads it out loud for them, between third and fourth grade, that's when children should transition from learning to read over to reading to learn. Kids have aI right in their hand now, not every kid, but increasingly, they aren't writing a full essay by hand with their own thoughts that they conjured up. Of course, chatgpt does that for them. Now it's probably good to teach chatgpt to kids in older grades, that is, if they don't already know it better than the teachers do, but you've increasingly got teens and young adults that say don't know how to write a cover letter for a resume because it's done for them. Now, much of what I've been talking about so far is called generative AI, and all that means is that it creates new content in response to your prompt. Today, we'll also talk about agentic AI in real estate that is spelled like agent and with IC at the end. How agentic AI is different from Oh, the chat GPT or Gemini prompts that I was talking about is that it acts on its own to perform a series of actions to reach a goal. So agentic AI gets kind of autonomous.    Keith Weinhold  6:06   Before we bring in a great guest to talk more about AI and property management. If you're looking for another episode on how to use AI more broadly in your life and broadly in real estate, check out episode 543 of the get rich education podcast that was a great episode from back in March again, that was episode 543 titled How to use AI for real estate.   Keith Weinhold  6:34   Now let's pull back and humanize things a little before we talk about bots. I just caught myself doing something kind of funny. Now, the other day, I used the hand ergometer at the gym. If you don't know what that is, while you're oftentimes standing up, you basically use your hands to crank this device's pedals in much the same way that bicycle pedals move. It exercises your biceps, triceps, forearm muscles. I have never seen anyone use this device at the gym before, not one person, but I wanted to try them, right? It seems like I often want to try something different from everyone else, and it looks just slightly odd to use this hand ergometer machine. Well, that's not the funny part. The next day, I was throwing a football around with a friend, and I couldn't figure out why throwing a spiral was so difficult for me and why my throwing accuracy was dreadful. Later, when I got home, my forearm started feeling sore. Oh, and I realized it was from using that hand ergometer. You know, this is such a typical guy thing to do, I made sure to DM that friend immediately to tell him that my football throws were lousy only because I had used a hand ergometer at the gym the day before. And he basically replied, yeah, your throws were really bad. It's funny that I felt so compelled to DM him like, hey, I really don't want ed thinking that I can't throw a football like that is so important or something. I could have done anything else with that two minutes of my life, but I cannot go about the rest of my day if Ed thinks I've got a bad football spiral like so important, like, my flight to Paris leaves in 30 minutes, but I'll put that whole trip in doubt, because I can't forget to tell ed I can usually throw a spiral on a football better than what he's thinking. Because, admit it, everybody has an ego. Some are just bigger than others. Well, I am bursting at the seams with a lot of broad real estate investing techniques and developments for you, but I'm putting that on hold until after today's show.    Keith Weinhold  8:45   We're talking with the CEO and co founder of property management platform, hemlane. It's spelled H, E, M, L, A, N, E, hemlane. I'll ask her where real estate will be within five years. She's a really intelligent woman and fully aware that your tenants don't want a bot to handle all of their maintenance requests. It's a lot like how you don't want to say representative to an automated phone system. It's hard to be nice when you're trying to clearly articulate it for the third time representative. Let's meet this week's guest.   Keith Weinhold  9:33   This week's guest is the CEO and co founder of hemlane. They're a property management platform with over 28,000 rentals and a billion dollars in payments process, just like we have been since day one here at GRE She is a strong advocate of purchasing properties anywhere. So that's often going to be outside your home state, because if best investments typically aren't right in your backyard, and why would you limit yourself? She supports real estate investors in setting up the most intelligent process to manage rentals from a distance, in case you want to self manage and do that. She's been named one of the top 20 women leaders and influencers in real estate tech. She has a distinguished resume previously working at Apple, and she received her MBA from Harvard Business School. She's an interesting person too. In her free time, she's an avid equestrian, paraglider and skier, so like me, she sort of has this substantial life outside of real estate too. Come on. You need to do that for your sanity. Well, we've been talking for almost a year now, but this is your first time on the show. Hey, welcome. It is the GRE debut of Dana Dunford.   Dana Dunford  10:44   Thanks so much Keith for having me. I'm so excited to be on your show and have been following it for a long time. So huge fan.   Keith Weinhold  10:52   Appreciate that Dunford is spelled D, u n, f, O, R, D, for listeners in the audio only. And this is a rather forward looking episode streamlining how to use AI in real estate and as a property management solution, putting that in your hands so that you could do that yourself. And before we're done, Dana is going to tell us what real estate investing will look like in five years, and if it's a good time to invest now. But first, Dana, I know you're an expert in leading having autonomous agents handle the tenant relations, things like communication and repair orders to a unit and rent collection. But I think a lot of people aren't really sure what an autonomous agent is. They're like, Hmm, is that somewhere between an autonomous car and a Roomba or something? So what is an autonomous agent?   Dana Dunford  11:42   Yeah, so there's two different types of AI, and where we are right now is with traditional AI. There's also agentic AI, where essentially AI will just take over, be proactive, think about things in advance, know exactly how to solve and make decisions. But Keith, to your point, very many out there here, AI, it's very much of a buzzword, and so I love some sort of parallels, just like you had mentioned with like the robot vacuum. I think a really good parallel would be self driving cars, because that's something that's applicable. We can all relate to. You know, you have Tesla, I have one, and it can drive me to and from work at any time, fully on that autonomous but there will be occasionally times in San Francisco where it will require me to take over the wheel because it's too foggy. There's something that goes on that's too complex of a situation. That is where I would say AI is today that traditional, where it's like it can follow exactly a process, but if the process messes up, like there's something in its way, it can't make a decision. It beeps at you and says, take over, whereas if you look at something like Waymo on the self driving car side, that is fully autonomous. There's no one there. There's no one making decisions. But it's very limited on where it can go, what it can do. Now the technology is better, and that's for another conversation, but it's just slower to go to market. And so with traditional AI, and what we're seeing now, it's fast to market. Everyone can use it, but you can't rely on it 100% you can't say it takes the wheel 100% of the time. And I don't have to think about it. And so that is where we are. I think a lot of experts in the space will say 2030, is when we will see this agentic AI. Will see it completely take over, but we're just not there today.    Keith Weinhold  13:47   All right, we're talking about the transition from traditional AI, which is in place today, to agentic AI, perhaps the Advent or popularity of that in five years, when I think about autonomous agent a lot of times, I like to look at etymology. Just what does that specifically mean? So we're talking about for another AI or a bot, if you will, to have autonomy over decision making. And when we think about autonomous agency with property management, how can we think of that application?   Dana Dunford  14:20   Yeah, I think that you need to break it down into what AI does very well right now, and what you could have aI fully take over, and where you might have some problems. And let me back up to if everyone remembers Watson, who beat Jeopardy, this was a while ago. The reason was, was actually because AI is very good at IQ. It can look up a ton of facts, or it can solve a really complex math problem. So anything on like the IQ side, AI is great to solve, but it's EQ that AI. Lacks, yeah, and EQ is me picking up the phone and saying, you know, Keith, I'm so sorry I messed up on, you know, whatever it was for you. If you're my boss, I'm so sorry here. So I'm going to make it right. Blah, blah, blah, blah, blah. And so that's where AI is not as good. And so when I think about any kind of system with real estate, you know, putting together your pro forma and looking at the cash flow and all of that, like AI can actually do it well, if you set up these are all the prompts that I would need, or take everything from insurance to interest rates and come up with the pro forma. But where AI will fail is a lot of times on the tenant communication side. And the reason for that is, let's just say, Keith, you have a apartment complex and there is the heat out. Well, if someone has a screaming baby in the background when you pick up the phone, you are going to answer that question, or you're going to talk to that tenant a lot differently if you're human versus if you're AI, you're going to say, oh my gosh, you have a four month old baby. You know, I also have kids. I know exactly what you're going through. And just so you know that HVAC technician is coming out right away, I will be here for you. I'm going to call you in five minutes. And so I always say, especially in real estate, because real estate is a people business, you really need to what, what you're trying to automate, or what you're trying to use, AI into four quadrants, and one axis, the horizontal axis, is IQ. Anything along that access it does well, but the vertical axis is EQ. And so the higher up you go on EQ, where you need relationships, the less likely it is, or my recommendation, would be, put a human in there. And so when we think about AI, it's like, if you're calling someone to confirm an appointment and remind them that, like an electrician is going to be there in an hour, you don't really need a human to do that. That's something that AI can do, and someone's going to have a delightful experience, right? But if it's something that requires that, EQ, that's where you're still going to have to have humans there.   Keith Weinhold  17:11   One thing that I often think about is, some years ago, popular email providers like Gmail, when someone would send you an email message asking you a question, Gmail basically started reading that email for you and giving you three little bubbles to click on the bottom, basically where you can click a yes answer, no answer or a follow up for more information, does that help give some relativity to what We're talking about here in property management and those tenant relations.   Dana Dunford  17:43   Yeah. I mean, I think that the Gmail with like, yes, no or No, thank you, or you get it also on LinkedIn that almost has zero EQ, because it's really just answering a question. It's not saying, Keith, I hope you had a wonderful weekend. You know, on your run, blah, blah, blah, blah, blah. It's not doing any of that. And so I think that is very much of a case of like, it's responding exactly to the email. I do think AI is getting better, where it's having that human touch involved in it when it responds to things. So now in Gmail, where you can have it draft you a response, but at the same time, it's not quite there unless it has enough context. And what I mean by context, and Gmail is such a good example, let's just say Keith today, if you look at Gmail and it's responding to an email, it is literally only responding based on the context it has in that email, right? But let's just say Keith, that you could increase context. So I gave you two axes, like EQ and IQ, high and low on both. Imagine if I could add a third axis on there, so it's almost like 3d and it's context. Now imagine that email you just mentioned came in, and it also could look at my messages, Keith with you on, let's just say Facebook, it also could look at the last shows that you had out there. It also just looked online at things, and maybe it could look at other, you know, information that you might have posted on LinkedIn. And maybe you posted on LinkedIn about your run this weekend. Now I can respond with a lot more context. Hey, Keith, saw on LinkedIn. You had this that is actually adding EQ to it, where it's making it much more personalized. And I think that is where the future of technology is going, and that's why data is such a big play here, because the more context you have, the better you are. And you know, we see that personally as a tech company, we wanted to control more of the data. We don't want to have a ton of APIs with other companies running maybe self guided tours for us, or running the maintenance coordination, because we need that all in our system. Because if we don't have access to the lease agreement to know specifically, do they have an occupant under one years old in the place it makes it. Lot more difficult for us to respond in a very eloquent way and help solve that EQ problem that a lot of AI has today.   Keith Weinhold  20:09   Talk to us more about how today autonomous agents are helping with property management, whether that's handling tenant requests for repair issues or helping virtual showing. So tell us more about how it's really helping investors today, and then what to watch out for.   Dana Dunford  20:27   Yeah, definitely. So the autonomous agents, or at least the AI agents, that we have always draft things up. Well we use them for like, some of the best places to use them are things like troubleshooting repair requests. Okay, 7% of repair requests that come into our system. And I'm sure with any of your guys' portfolios, you'll see the same thing, 7% we can get the tenant to solve without liability. However, we have to train the AI, so we have to say, Listen, we can have zero liability with this. So if the ceiling is over 10 feet tall, do not put a tenant on a ladder and tell them to change a light bulb. You need to know exactly like you know when a tenant says, My light bulbs out and it checks out. They moved in a year ago. That's their responsibility. Like you are not going to put them on a ladder unless you have more of that context. And so on the troubleshooting side, that is a great way where AI can respond and fully come up with here's a summary of everything we've done. And here, this request was either closed or actually, we need to pass this over to human that is a great way to use AI. You just need to make sure the data you're using is right and it's trained in the right way. Because if you don't have all of those additional specific, intricate type of examples that I mentioned for residential property management, you can get in a lot of trouble this same for an autonomous agent would be on the leasing side. It's very easy to do it early on when you get the tenant inquiries coming in, because now what you're trying to do is just qualify them. Is this person qualified for a tour, and if they are, what time do they want to see the property? Right? And how do I get them in as quickly as possible? With that, though, you have to train it. So, for example, I live in California. I live in San Francisco. You can't just say the credit score requirement is 650 because if the person is on Section eight, which you are required to accept in California, you have to give an alternative to credit in order to let them qualify. And so that's where these models to get, these autonomous AI agents. It becomes really important to be a subject matter expert in the space and be able to run this and have it train and know exactly what it should be saying in those cases. Now, Keith, I always say kind of as a rule of thumb, the farther down you get on something, the more challenging it is for it to be fully autonomous. And that's where you need a human involved. So for example, for us, once you're talking to service professional and communicating between them and a tenant, you very much need a human to be there to help with that. And same thing on the leasing side, there is no way, actually, if you know anyone, Keith, I would love to talk to them, but there is no way a tenant is going to go ahead and talk to an AI agent all the way to signing a lease and handing over the keys, especially if you're doing something like self guided tours, they're going to want someone on the phone talking to them. Hey, I'm here for you again. That EQ those quadrants I mentioned, really bringing that into play. So I found a lot of things with property management. At the beginning, you can use AI, but there's a certain point where you get to something where you say, I actually need a human to be calling or messaging, because you need that additional touch.   Keith Weinhold  23:47   That makes sense. This is not buying a weed eater. This is actually a rather intimate transaction. We're talking about where you and your family are going to live and thrive and eat and sleep every day we're talking with hemlane, CEO and co founder, Dana Dunford, about applying AI in real estate and property management more when we come back with Dana, I'm your host. Keith Weinhold   Keith Weinhold  24:12   you know, most people think they're playing it safe with their liquid money, but they're actually losing savings accounts and bonds don't keep up when true inflation eats six or 7% of your wealth. Every single year, I invest my liquidity with FFI freedom family investments in their flagship program, why fixed 10 to 12% returns have been predictable and paid quarterly. There is real world security backed by needs based real estate, like affordable housing, Senior Living and health care. Ask about the freedom flagship program. When you speak to a freedom coach there, and that's just one part of their family of products, they've got workshops, webinars and seminars designed to educate you before you invest. Start with as little as 25k and finally, get. Money working as hard as you do, get started at Freedom, family investments.com/gre, or send a text now it's 1-937-795-8989, yep, text their freedom coach, directly again. 1-937-795-8989   Keith Weinhold  25:23   the same place where I get my own mortgage loans is where you can get yours. Ridge lending group and MLS, 42056, they provided our listeners with more loans than anyone because they specialize in income properties. They help you build a long term plan for growing your real estate empire with leverage. Start your prequel and even chat with President chailey Ridge personally while it's on your mind, start at Ridge lending group.com that's Ridge lending group.com   Dolf Deroos  25:56   this is the king of commercial real estate, Dolf de Roos. Listen to get rich education with Keith Weinhold and Don't Quit your Daydream.   Keith Weinhold  26:13   Welcome back to get rich education. We're talking with Dana Dunford in a rather forward looking episode, applying AI to real estate investing and property management and Dana, I think I would wonder about if AI has much reasoning ability, as far as, why don't we say prioritization with a tenant repair request? If a tenant has a repair request because their kitchen cabinet doors are squeaky, that's probably something that needs to be handled differently and is going to be lower on the priority chain than if a sink just flooded all over the bathroom floor, and it's going to ruin the subfloor in a few hours if it's not addressed. So where are we at with AI's reasoning ability there?   Dana Dunford  26:57   It's actually pretty good at prioritization, so it can tell our team where things are from a priority list, however, where we found that we've had to train it more, and this is us putting logic into it from a large language model, is it hasn't picked up certain things. And let me give you an example. Keith, my toilets not working, right? Okay, well, the biggest question to ask is, how many toilets do you have in the house? How many are in the property? Because if there is one, that is definitely an emergency, if there are two, not so much of an emergency. And so that's where there's additional contacts that comes in, go search under the marketing description, how many toilets are in this house, right? And then confirm with the tenant the other one is still functioning. And so there's certain things like that that we've found we've had to personally train to get it to respond in the right way. But overall, like generally, it's pretty good at helping to de escalate things, turning off valves saying, hey, mop up. You would be surprised how many tenants don't just like mop up the water on the floor. They're like, Oh, I wanted to keep it so you could see what it looked like. It's like, no, no, no, you need to mop it up. And by the way, we need fans in there. And there's a point where you just get a remediation specialist there. It's one of the most expensive trades, because usually insurance is called if you're calling a remediation group, but really understanding the extent of it and stuff like that, AI is actually pretty good at that. And the reason why is that is an IQ thing, where it's something easily searchable on the internet that is applicable to all homes, right? And so it's much easier for them to be able to do the prioritization of repairs.   Keith Weinhold  28:39   Okay? So an investor can basically buy or leverage the hemlane software and tell me, is there an AI integration with it? And like, how does that interface actually look and how much does the investor need to use it? What's already built in? Tell us more there.   Dana Dunford  28:58   Yeah. So we have a repair coordination. So when we build features, we build features to solve problems, not to like call it a feature, right? And so there's one feature we have called repair coordination, and that is to end to end, coordinate your repair all the way from troubleshooting to confirming work is completed and paying the service professional on your behalf. How we get that done. We don't think the owner really cares, as long as it's a five star experience for them and a five star experience for the tenant. And so what we've done in our approach has been, you always have humans that you start with, and these are people who are trained specifically in all of these things we've been talking about. Then what you do is you add AI in, and it's not quite yet a co pilot, a co pilot, is actually helping, like, make those decisions, but it's making the humans faster. And then the humans can come back to us, our repair coordinators, and say, Hey, listen, this is where the AI fails a bit. This is where I had to replace something in the AI before I clicked send. And. That is a really good way to do it, because I've seen out there, and I'm even though I'm in Silicon Valley, I'm in San Francisco, like aI Mecca, I'm probably more conservative on using it in part because of tenant landlord law and just what can go wrong. And so for me personally, it's like, I see sometimes out there where people's like, use our AI repair coordinator and it's fully AI. And it's like, yeah, but we've seen cases where the AI fails, just like I mentioned, where my car asks me to take over the wheel and and that's where I think that we're just not quite there yet, and we need to give it more time, you need to make sure you're using the right technology for it, but that's where I feel like it's almost more like an assistant to me versus an actual replacement or a co pilot yet, but it will soon get there.   Keith Weinhold  30:55   Well, a lot of times the producer or I guess, landlord, in this case, they want to use AI, but consumers don't really want to consume AI content. You can imagine, if a tenant had a problem, they don't want to feel like an AI was used all the way through the process and was never involved. So tell us more about that. I mean, how do the tenants take it?   Dana Dunford  31:17   Keith, I love that question so much. Because one I think sometimes technology companies are not transparent of what is AI and what is not AI. Yeah, I think the first thing you need to do is be transparent that it's aI talking to you. If you don't do that, you've suddenly lost trust, right? Sometimes they'll brand it as a person, but it's really not. So that's the first thing I would say. The second thing I would say is, if the AI solves what they need, we have found in a very delightful way. We have found that they don't care if it's AI, if they're chatting and it's so fast and the answer is their question, then they don't care that it's aI doing it, or human they just care about, what is my problem, and how do I get that solved? Right as quickly as possible. I think if AI was slow, they would care, like, they're like, Oh, it's a slow support agent, because they're too cheap to, like, invest in support. But no, they actually get their questions resolved. We have occasionally had tenants who have said, Hey, this didn't help me. You know, connect me with an agent, and then we connect them right away with an agent. But what's interesting in those cases is the AI actually had the right answer, so it gave them exactly the answer. But the person was like, I just don't want to talk to AI. Then the question is, how do you actually change it to make them want to talk to AI? And a lot of it has to do with that. EQ, how do you add it to make it such a delightful experience for them, where you're adding so much more in? And how you say, like, Does that help answer your question? I'm happy to like say it in a different way, if that is helpful. So I think a lot of times when someone says, oh, the AI answers that, but people just want to talk to human. It's really more that the AI didn't answer it how they wanted it to be answered, or it asked too many obnoxious questions, where the person's like, just let me talk to human. You're asking me the wrong questions. This is not applicable, and that's really where you need to have a better level of where your technology should be when you're responding to someone   Keith Weinhold  33:20   just quickly. Dana, how is it integrated with dispatch, with that sink flooded all over the floor? Example, would the AI know to contact a plumber versus just a handyman that works at a lower rate? So how does it work with dispatching?   Dana Dunford  33:35   They would before anything is dispatched, because it's another human involved. We do have, at this moment, we still have humans involved checking it, but it would know because of a couple of things we have. One is preferred service professionals. So who do you want to go out? First, second, third, fourth. Then of those service professionals, what do they do? Is it just septic, you know? Do they do full plumbing, whatever it may be, and then also, what that person's hours are like, if it's a weekend and it's an emergency and someone doesn't work weekends, you're not going to call that service professional. You're going to call the next one in line who is available. So all of that is built into it, but we still always have humans look it over to say, is that the right category? Are they dispatching the right service professional? All of that, eventually that can just take over with AI doing it. But at this moment, we still put humans involved, because most services have a service call, and we need a person to say, Yes, I made that decision to send that person out, just because, you know, could be $89 and for everything service calls add up, so we want humans to make that better for you?   Keith Weinhold  34:40   Yeah. All right, so we still have a good level of human involvement. Well, Dana, before I ask how our listeners can learn more about hemlane, what does investing in real estate look like in five years? Since you are rather forward looking there   Dana Dunford  34:56   yeah, So I think there's a couple of things right now. Keith, we had spoke. And right before this show started about how challenging it is. It's a slow real estate market. Yeah, it is. I still think people will regret if they don't purchase now versus in five years. You know, I still think you should be looking for those great deals where someone has to sell and the price doesn't matter as much and you don't have as much competition. So when you look five years out, it has to become easier to invest and manage Real Estate. Today, to me, it's still a broken process. It's still so challenging to get anything done, it's still so manual to get everything done, and it's also you're dealing with people, and people get exhausted by that, like the drama and stuff like that. So I think in five years, you'll have less of that, there will be much more standardization. And an example I would give is, like, with the taxi industry and Uber Right? Like, a very consistent quality, you know what you're going to get, you're going to get from point A to point B. We need the same thing for real estate, with what you're investing in? How that happens? There's a lot of great technology companies out there doing things exciting. Things are like fractional ownership and tokenization. I think that is something that online, being a little bit more passive is going to be a lot easier. I think remote first investing is going to be the way to go, people are going to feel so much more comfortable investing not in their backyard, which I know Keith, you and I are huge proponents of. And then I also just think that in the case of how many people are going to be focused on who's their tech partner versus just who's their local partner? I think that is going to be another thing, because of all of this we mentioned with AI and those who are using more technology, even just to source the deals. I'm not talking about management. I'm talking about straight from the start, or how you finance it. Anyone who is using more technology and better technology is definitely going to win in this space.   Keith Weinhold  37:02   Yeah, investing out of state continues to grow in popularity, and platforms like hemlane, with the right AI integrations can help reduce that friction in still a pretty high friction industry over the next five years. Well, Dana, I think you really going to get the wheels turning for a lot of listeners here, if they want to learn more about hemlane, what's the best way for them to do that?   Dana Dunford  37:26   Yeah, you can go to www.hemlane.com We've everything from free packages to manage your properties to much more full service, comprehensive with that repair coordination we spoke about just please do mention this interview slash podcast, specifically Keith and GRE and you will get 20% off your first year there. So please do make sure to mention it.   Keith Weinhold  37:50   Oh, thank you for doing that for our listeners. Dana Dunford, it's been valuable as I knew it would be. Thanks so much for coming onto the show.   Dana Dunford  37:57   Great. Thanks so much for having me.   Keith Weinhold  38:02   You Brenda, how much does it cost for an investor to use hemlane? Well, there's a free software package where you don't have to leave a credit card or anything like Dana mentioned. Their website will show you that monthly. There are a few packages and fee schedules, but they all have 14 day free trials too. Now, if you use a professional manager, it's less likely that hemlane can help you. If you self manage, you can book a free demo right there from the top of their homepage. It's really easy to find. They can help you with tenant screening, background and credit checks, listing, syndication, online rent collection, tracking rent payments, late fees, and they've got dashboards for lease and tenant status, also everything to do with streamlining maintenance requests, work orders and some of the logistics of your repair coordination, H, E, M, L, A, N, E, hemlane.com, you might like the demo. You can mention GRE for 20% off your first year. That is kind of Dana to do that for us until next week, when I'll be back to help you build your wealth. I'm your host. Keith Weinhold, don't quit your Daydream.   Speaker 2  39:20   Nothing on this show should be considered specific, personal or professional advice. Please consult an appropriate tax, legal, real estate, financial or business professional for individualized advice. Opinions of guests are their own. Information is not guaranteed. All investment strategies have the potential for profit or loss. The host is operating on behalf of get rich Education LLC, exclusively   Speaker 3  39:40   The preceding program was brought to you by your home for wealth building, get richeducation.com Transcribed by https://otter.ai

In this special episode of Cloud Wars Live, Bob Evans speaks with Chad Wahlquist, Architect at Palantir, about the company's explosive Q3 growth and the accelerating adoption of its AI Platform (AIP). They explore how AIP serves as an operating system for the enterprise, enabling customers to achieve global optimization, faster ROI, and model flexibility. Wahlquist also talks about Palantir's open, interoperable architecture and its commitment to delivering value at speed, especially for customers in high-stakes, high-pressure environments.Operate Smarter, Not SlowerThe Big Themes:Speed to Value: Many companies still operate under the assumption that meaningful transformation requires multi‑year timelines (two to three years, sometimes more). Palantir is pushing the idea that you must deliver value in months, three to six months, rather than years. This shift is critical because when business markets move fast, and when competitive advantage erodes quickly, speed becomes a differentiator. If you wait for years, you may miss the window or be out‑paced.Interoperability and Ecosystem Integration: The platform isn't trying to lock you into a “box” you must keep your data in; it instead emphasizes plug‑in interoperability with systems you already have. Wahlquist mentions connectors, SDKs, APIs, and plug‑ins to partners like Snowflake, Databricks, SAP, NVIDIA. The concept: if you already have investment in some systems, don't throw them away; just connect them. This increases the speed to value and reduces friction.Ambition, Willingness to Operate in Crisis: Wahlquist points out they often engage with customers who are under pressure. These customers need value now, not two or three years out. Situations like supply chain disruption, plant outages, labor issues, etc., are real. This situational urgency forces companies to adopt architectures and partners that can deliver now. The takeaway: It's not enough to believe you'll transform in the future; transformation architecture must be built for today's fires.The Big Quote: “Our goal is really: how do we scale our customers and the outcomes they're delivering — not just the number of customers?"More from Chad and Palantir:Follow Chad on LinkedIn or get an overview of Palantir's Q3 in its letter to shareholders. Visit Cloud Wars for more.

As promised last week, today's episode provides greater context on US ePrivacy audits, CIPA/VPPA claims, and EU-US comparative law as it affects the rollout or maintenance of MarTech solutions on websites and mobile applications.References:* “The slippery slope of consent banners in preventing CIPA and VPPA claims: why effective Opt-Outs will prevail - also in the EU” (Sergio Maldonado, November 2025 - you are listening to Part I of the more comprehensive analysis)* Jennifer Oliver: privacy litigation over pixels, trackers, and cookies (Masters of Privacy, August 2025)* From wiretapping and video rentals to website pixels, SDKs, and APIs. CIPA/VPPA litigation, risk management, and practical strategies (Nov 2025 update)* Toolbox: Fast CIPA/VPPA website auditing and case law matching for legal professionals (Alpha release). This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.mastersofprivacy.com/subscribe

In this episode, Frank Sohn talks with Hiren Shah, founder of B2B-Matrix, about how small and mid-sized manufacturers and distributors are modernizing their sales processes through AI-driven CPQ, CRM, and ERP integration. Hiren, a former SAP America consultant turned Salesforce expert, shares his perspective on the future of Configure-Price-Quote (CPQ), Revenue Cloud, and AI in sales automation. He explains B2B-Matrix's three-phase Salesforce AI project, where automation is already reducing clicks, quote times, and approval delays—and how the final phase will connect directly to ERP and internet data. You'll also hear his insights on: When and why companies should migrate from Salesforce CPQ to Revenue Cloud Advanced (RCA) The "death of middleware" and how modern APIs enable seamless CRM-CPQ-ERP integration The top three customer priorities today: AI, master data cleanup, and faster transaction velocity Why CPQ customers typically replace systems every eight years How B2B-Matrix white-labels its services for larger consulting firms and delivers sub-$100K CPQ projects for SMBs Beyond business, Hiren also shares his personal passion for Pilates and Hot Yoga, a balance that keeps him focused as he leads digital transformation projects for manufacturers across North America. Whether you're interested in Salesforce Revenue Cloud, CPQ modernization, AI in sales, or integration strategy, this episode offers practical, real-world insights from someone who's bridging enterprise architecture, business process design, and cloud innovation.

Send us a textCheck us out at:  https://www.cisspcybertraining.com/Get access to 360 FREE CISSP Questions:  https://www.cisspcybertraining.com/offers/dzHKVcDB/checkoutGet access to my FREE CISSP Self-Study Essentials Videos:  https://www.cisspcybertraining.com/offers/KzBKKouvA single compromised API key can undo months of hard work. We open with a clear-eyed look at a reported Treasury-related incident tied to a privileged access platform and use it to expose a bigger problem: API governance that lags behind development speed. If an API is a doorway into your environment, why do so many teams leave it unlocked, unlogged, and unmanaged? We share a practical blueprint for centralizing API traffic through gateways, tightening authentication, rotating keys, and getting real visibility into what flows in and out.From there, we dive into CISSP Domain 1.6 with crisp, exam-style questions that double as leadership lessons. We compare civil and criminal standards of proof, explain where regulatory investigations fit, and show how penalties differ across case types. You'll hear why chain of custody can make or break a criminal data theft case, how direct and circumstantial evidence complement each other, and what lawful collection requires under search and seizure laws. Along the way, we clarify GDPR's reach, the role of the SEC in insider trading probes, and how ECPA, CFAA, and FISMA divide responsibilities across privacy, computer crime, and federal system security.We also make the case for forensic readiness as a standing control, not a post-breach scramble. Centralized logging, synchronized time, packet capture on critical paths, immutable storage, and clear retention policies give you faster answers and stronger footing with regulators. Inside the organization, administrative investigations live or die by policy clarity, and whistleblower protections keep truth-tellers safe enough to speak. By the end, you'll have tangible steps to harden APIs, gather admissible evidence, and navigate the maze of legal and regulatory expectations with confidence.If this helped sharpen your thinking, follow the show, share it with a teammate who owns APIs or incident response, and leave a quick review so others can find us. Your feedback guides what we tackle next.Gain exclusive access to 360 FREE CISSP Practice Questions at FreeCISSPQuestions.com and have them delivered directly to your inbox! Don't miss this valuable opportunity to strengthen your CISSP exam preparation and boost your chances of certification success. Join now and start your journey toward CISSP mastery today!

SHOW: 975SHOW TRANSCRIPT: The Cloudcast #975 TranscriptSHOW VIDEO: https://youtube.com/@TheCloudcastNET NEW TO CLOUD? CHECK OUT OUR OTHER PODCAST - "CLOUDCAST BASICS" SPONSORS:[Interconnected] Interconnected is a new series from Equinix diving into the infrastructure that keeps our digital world running. With expert guests and real-world insights, we explore the systems driving AI, automation, quantum, and more. Just search “Interconnected by Equinix”.[TestKube] TestKube is Kubernetes-native testing platform, orchestrating all your test tools, environments, and pipelines into scalable workflows empowering Continuous Testing. Check it out at TestKube.io/cloudcastSHOW NOTES:LaunchAny websiteapicoach.io (note)Lessons learned after a decade of API StrategyLatest book: “Principles of Web API Design: Delivering Value with APIs and Microservices (Addison-Wesley under the Vaughn Vernon signature series)Upcoming report on AI-Assisted API DesignJames on The Cloudcast #153James on The Cloudcast #435Topic 1 - Welcome back to the show James. It's hard to believe it's been 11 years since we last spoke on the show! Give everyone a brief introduction.Topic 2 - To say we've come a long way with APIs as an industry is an understatement. But let's set the table for everyone. In your interactions with Enterprise customers, what trends or standards are currently top of mind? Topic 3 - You wrote an article (link in show notes) titled Lessons after a Decade of API Strategy. What struck me from the article was the combination of technology, business, and even culture, all of which have to come together. When talking to Enterprises these days, have we moved past understanding what APIs are and straight to solving problems with APIs?Topic 4 - What are the most common use cases you see today? API transformation? API sprawl and consolidation/documentation? Integration of SaaS/3rd party services?Topic 5 - No conversation would be complete without a discussion about AI and AI's impact on API's. I view this in several different ways. AI is creating APIs, and AI is being consumed through APIs. How do you think about AI and its impact? What's changed and what has stayed the same?Topic 6 - Second aspect to the AI topic, where and how does security fit into this intersection of AI and APIs?Topic 7 - If anyone is interested, what's the best way to get started?FEEDBACK?Email: show at the cloudcast dot netBluesky: @cloudcastpod.bsky.socialTwitter/X: @cloudcastpodInstagram: @cloudcastpodTikTok: @cloudcastpod

It's hump day on WHAT THE TRUCK?!? and host Malcolm Harris is bringing the heat with a jam-packed lineup covering innovation, strategy, and the latest headlines shaking up logistics. In this episode: Arthur Axelrad, CEO & Co-Founder of Dispatch Science, breaks down the launch of DataSync — the newest part of their DSX ecosystem giving carriers real-time control and visibility over operations. Discover how data is reshaping last-mile logistics and why modern architecture and APIs are key to the future. Sarah Olmstead (President, Rebel Logistics Service) and Mike Holland (Senior Director of Domestic Logistics, Five Below) join forces to dive into the ECA Marketplace — the unique “speed dating for logistics” event where shippers and carriers forge real partnerships and optimize freight strategy for 2026. Freight headlines on CDL rule reversals, Zoom Freight's bankruptcy, and U.S. port fee suspensions on Chinese vessels. Plus, Malcolm previews: ProShip's 2025 End-of-Year Parcel Roast — where shipping strategies get roasted live The Great Freight Debate featuring Craig Fuller, Ken Adamo, and Matthew “The Armchair Attorney” Leffler, live from the Traffic Club of Chicago ⁠Watch on YouTube⁠ ⁠Visit our sponsor⁠ ⁠Subscribe to the WTT newsletter⁠ ⁠Apple Podcasts⁠ ⁠Spotify⁠ ⁠More FreightWaves Podcasts⁠ #WHATTHETRUCK #FreightNews #supplychain Learn more about your ad choices. Visit megaphone.fm/adchoices

In this special crossover episode from Beatrice Erkers' Existential Hope podcast, The Cognitive Revolution's host explores the crucial, often-neglected question of building a positive vision for the future in the AI era. The discussion delves into what a new social contract and daily life could look like, covering transformative applications from self-driving cars and personalized tutoring to democratizing access to expertise and radically improving health. Listeners will gain insights into fostering higher societal expectations for progress, understanding Eric Drexler's "comprehensive AI services," and the profound impact of fiction in shaping AI's future. LINKS: Generative deep learning antibiotic design Why Tool AIs become Agent AIs Existential Hope Podcast Sponsors: Google AI Studio: Google AI Studio features a revamped coding experience to turn your ideas into reality faster than ever. Describe your app and Gemini will automatically wire up the right models and APIs for you at https://ai.studio/build Shopify: Shopify powers millions of businesses worldwide, handling 10% of U.S. e-commerce. With hundreds of templates, AI tools for product descriptions, and seamless marketing campaign creation, it's like having a design studio and marketing team in one. Start your $1/month trial today at https://shopify.com/cognitive Tasklet: Tasklet is an AI agent that automates your work 24/7; just describe what you want in plain English and it gets the job done. Try it for free and use code COGREV for 50% off your first month at https://tasklet.ai PRODUCED BY: https://aipodcast.ing CHAPTERS: (00:00) Sponsor: Google AI Studio (00:31) About the Episode (02:43) Introducing Nathan Labenz (03:50) A Positive AI Future (Part 1) (12:23) Sponsors: Shopify | Tasklet (15:31) A Positive AI Future (Part 2) (15:31) Excitement for Self-Driving (19:25) Visions for 100 Years (24:58) Near-Term Transformative AI (31:08) AI's Impact on Sectors (41:16) Comprehensive AI Services (52:16) Balancing Hope and Risk (56:51) Raising Societal Ambitions (01:01:30) Branching Sci-Fi Narratives (01:06:00) Lessons From Podcasting (01:09:52) Outro SOCIAL LINKS: Website: https://www.cognitiverevolution.ai Twitter (Podcast): https://x.com/cogrev_podcast Twitter (Nathan): https://x.com/labenz LinkedIn: https://linkedin.com/in/nathanlabenz/ Youtube: https://youtube.com/@CognitiveRevolutionPodcast Apple: https://podcasts.apple.com/de/podcast/the-cognitive-revolution-ai-builders-researchers-and/id1669813431 Spotify: https://open.spotify.com/show/6yHyok3M3BjqzR0VB5MSyk

It's hump day on WHAT THE TRUCK?!? and host Malcolm Harris is bringing the heat with a jam-packed lineup covering innovation, strategy, and the latest headlines shaking up logistics.In this episode: Arthur Axelrad, CEO & Co-Founder of Dispatch Science, breaks down the launch of DataSync — the newest part of their DSX ecosystem giving carriers real-time control and visibility over operations. Discover how data is reshaping last-mile logistics and why modern architecture and APIs are key to the future. Sarah Olmstead (President, Rebel Logistics Service) and Mike Holland (Senior Director of Domestic Logistics, Five Below) join forces to dive into the ECA Marketplace — the unique “speed dating for logistics” event where shippers and carriers forge real partnerships and optimize freight strategy for 2026. Freight headlines on CDL rule reversals, Zoom Freight's bankruptcy, and U.S. port fee suspensions on Chinese vessels. Plus, Malcolm previews: ProShip's 2025 End-of-Year Parcel Roast — where shipping strategies get roasted live The Great Freight Debate featuring Craig Fuller, Ken Adamo, and Matthew “The Armchair Attorney” Leffler, live from the Traffic Club of Chicago Watch on YouTube Visit our sponsor Subscribe to the WTT newsletter Apple Podcasts Spotify More FreightWaves Podcasts #WHATTHETRUCK #FreightNews #supplychain Learn more about your ad choices. Visit megaphone.fm/adchoices

Treasurers are intensifying their efforts to achieve instant cash visibility and control. Virtual accounts, APIs, and real-time data offer the potential for faster decision-making and more streamlined operations, as long as integration, regulation, and cultural change are managed carefully.

When four MIT grads decided to build a code editor while everyone else was building AI agents, they created the fastest-growing developer tool ever built. Cursor CEO Michael Truell joins a16z's Martin Casado to discuss the deliberate constraints that led to breakthroughs: why they rejected the "democratization" narrative to focus on power users, how their 2-day work trials test for agency over credentials, and the strategic decision to own the editor when conventional wisdom said it was impossible. Resources:Follow Michael on X: https://x.com/mntruell Stay Updated: If you enjoyed this episode, be sure to like, subscribe, and share with your friends!Find a16z on X: https://x.com/a16zFind a16z on LinkedIn: https://www.linkedin.com/company/a16zListen to the a16z Podcast on Spotify: https://open.spotify.com/show/5bC65RDvs3oxnLyqqvkUYXListen to the a16z Podcast on Apple Podcasts: https://podcasts.apple.com/us/podcast/a16z-podcast/id842818711Follow 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. Stay Updated:Find a16z on XFind a16z on LinkedInListen to the a16z Podcast on SpotifyListen to the a16z Podcast on Apple PodcastsFollow our host: https://twitter.com/eriktorenberg Please 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. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Kyle Cobb, acting deputy director for technology and product at the Centers for Disease Control and Prevention's Office of Public Health Data, Surveillance and Technology (OPHDST), shared how emerging technologies are transforming the way health care data is shared and managed. Cobb outlined how APIs are replacing outdated data connections with a hub-and-spoke model, creating more efficient and centralized data utilities. Tools such as FHIR-based APIs and core Data Use Agreements (DUAs) are not only reducing administrative burdens but also helping providers and public health agencies exchange information more consistently. This standardization builds the foundation for a stronger, more responsive data infrastructure capable of supporting both routine health care operations and large-scale public health emergencies. Artificial intelligence is becoming the next major accelerant in this transformation. Cobb described how AI tools can parse older data formats and convert them into modern FHIR bundles, unlocking access to legacy systems that were previously difficult to integrate.

In this live recording (November 6th 2025) we have tackled website protections from pixel-related litigation or public enforcement, paying closer attention to technical measures and the bridge between legal compliance and code-based strategies.Our repeat guest is Daniel B. Rosenzweig, Founder & Principal Attorney at DBR Tech Law. He advises clients on legal and technical compliance with data privacy and AI laws, and counsels clients on industry mobile app store requirements, AdTech, and privacy-enhancing technologies.Daniel's legal practice is unique in that he develops and codes technical solutions to help serve as a bridge between legal, marketing, and technical teams, in addition to providing clients foundational legal services (e.g., conducting risk assessments, drafting disclosures, etc.). He excels at assisting organizations put the law into action by translating complex legal requirements into actionable technical implementations.Our next live recording session is scheduled for Wednesday January 14th 2026. Find more information on the Events section of the Masters of Privacy website.References:* Daniel B. Rosenzweig on LinkedIn* DBR Data Privacy Solutions* From wiretapping and video rentals to website pixels, SDKs, and APIs. CIPA/VPPA litigation, risk management, and practical strategies (Nov 2025 update, Masters of Privacy)* Daniel Rosenzweig: OK, fingerprinting (Masters of Privacy, February 2025)* Jennifer Oliver: privacy litigation over pixels, trackers, and cookies This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.mastersofprivacy.com/subscribe

Could open banking finally create real competition for money services—beyond the banks? We’re talking to Ben Lynch, who left Xero to found Akahu, the open finance intermediary pushing to change the balance of power between banks, their customers, and their competitors. This episode explores how open banking aims to democratize your financial data, letting fintech businesses innovate and become a “bank without being a bank”. Hear about Ben’s battle to bring the new Consumer Data Right into law, giving individuals more meaningful ownership of their personal information—the foundation of open banking. We discuss how this legislation forces banks to use APIs (application programming interfaces) to share data, and creates more space for disruptors like Sharesies to offer consumers choice. Plus, hear the story of how Ben used a tweet to get his foot in the door at Xero. For more or to watch on YouTube—check out http://linktr.ee/sharedlunchShared Lunch is brought to you by Sharesies Australia Limited (ABN 94 648 811 830; AFSL 529893) in Australia and Sharesies Limited (NZ) in New Zealand. It is not financial advice. Information provided is general only and current at the time it’s provided, and does not take into account your objectives, financial situation and needs. We do not provide recommendations and you should always read the disclosure documents available from the product issuer before making a financial decision. Our disclosure documents and terms and conditions—including a Target Market Determination and IDPS Guide for Sharesies Australian customers—can be found on our relevant Australian or NZ website. Investing involves risk. You might lose the money you start with. If you require financial advice, you should consider speaking with a qualified financial advisor. Past performance is not a guarantee of future performance. Appearance on Shared Lunch is not an endorsement by Sharesies of the views of the presenters, guests, or the entities they represent. Their views are their own.See omnystudio.com/listener for privacy information.

Banks dramatically underestimate how their customers share financial data, and most of it happens through insecure screen scraping that creates fraud vulnerabilities and slows performance. Shane McWilliams, Head of Retail Digital Banking at FIS, breaks down the three critical challenges separating thriving institutions from those being left behind: serving small and medium businesses as a central financial hub, enabling secure data sharing through APIs, and moving beyond product-centric thinking to build sticky customer relationships. McWilliams reveals that when he asks bank executives to guess what percentage of their customers are sharing data with third parties, "they're not even close" to reality. He explains how modern SMBs expect their banks to integrate everything from cash flow monitoring to accounting systems, why personalization needs to go beyond UX optimization, and how banks that orient around customer needs rather than products will win in today's competitive environment.

When you build a software business as a founder, you have a dream. Building. Features. APIs. UIs.But how much of that is JUST a dream, and what REALLY leads to paying customers?This episode of The Bootstraped Founder is sponsored by Paddle.comYou'll find the Black Friday Guide here: https://www.paddle.com/learn/grow-beyond-black-fridayThe blog post: https://thebootstrappedfounder.com/the-things-your-customers-dont-care-about/The podcast episode: https://tbf.fm/episodes/422-the-things-your-customers-dont-care-aboutCheck out Podscan, the Podcast database that transcribes every podcast episode out there minutes after it gets released: https://podscan.fmSend me a voicemail on Podline: https://podline.fm/arvidYou'll find my weekly article on my blog: https://thebootstrappedfounder.comPodcast: https://thebootstrappedfounder.com/podcastNewsletter: https://thebootstrappedfounder.com/newsletterMy book Zero to Sold: https://zerotosold.com/My book The Embedded Entrepreneur: https://embeddedentrepreneur.com/My course Find Your Following: https://findyourfollowing.comHere are a few tools I use. Using my affiliate links will support my work at no additional cost to you.- Notion (which I use to organize, write, coordinate, and archive my podcast + newsletter): https://affiliate.notion.so/465mv1536drx- Riverside.fm (that's what I recorded this episode with): https://riverside.fm/?via=arvid- TweetHunter (for speedy scheduling and writing Tweets): http://tweethunter.io/?via=arvid- HypeFury (for massive Twitter analytics and scheduling): https://hypefury.com/?via=arvid60- AudioPen (for taking voice notes and getting amazing summaries): https://audiopen.ai/?aff=PXErZ- Descript (for word-based video editing, subtitles, and clips): https://www.descript.com/?lmref=3cf39Q- ConvertKit (for email lists, newsletters, even finding sponsors): https://convertkit.com?lmref=bN9CZw

Strategic Technology Consultation Services This episode of The Modern .NET Show is supported, in part, by RJJ Software's Strategic Technology Consultation Services. If you're an SME (Small to Medium Enterprise) leader wondering why your technology investments aren't delivering, or you're facing critical decisions about AI, modernization, or team productivity, let's talk. Show Notes "And we talk about that contract. We say, "this is your contract. This Open API definition that you have is the contract for your service." And in the end, that's how customers interact with Azure is through APIs. And so it's important to have that contract so that customers know how things work, how to use them, hopefully how to use them easily, right?"— Mike Kistler Hey everyone, and welcome back to The Modern .NET Show; the premier .NET podcast, focusing entirely on the knowledge, tools, and frameworks that all .NET developers should have in their toolbox. I'm your host Jamie Taylor, bringing you conversations with the brightest minds in the .NET ecosystem. Today, we're joined by Mike Kistler to talk about two topics (we usually only tackle one topic per episode, so you're getting a bonus with this episode): Open API and both MCP and the MCP SDK for C#. We started our conversation by focussing on Open API, as this is a passion of Mike's. We talked about what it is, how you've likely already been using it with any ASP .NET Core WebAPIs that you've worked on, and how the latest versions of ASP .NET Core can generate a lot of the Open API specification for you without having to add lots and lots of metadata an attributes. Pro tip: If you've been using the Swagger UI in your applications, you've been using Open API. "And when the LLM decides that it wants to use an MCP tool or access an MCP resource, it doesn't go and do that directly. It comes back to the MCP host and asks the MCP host to call a tool with a particular set of parameters, or to access an MCP resource. And at first, when I saw this in the MCP architecture, I thought, "boy, that's clunky. Why not have the LLM just call these things directly?" And there's a deliberate reason why it was done this way."— Mike Kistler We then pivoted over to talking about MCP (or Model Context Protocol) which is a rapidly evolving standard for creating your own agents and applications which can communicate with or be instructed by, LLMs. We talked about how the MCP standard works, and how the standard is written in such a way that there's always a human in the loop. We also talked about how you can build your own MCP servers using the MCP SDK for C#. It's worth pointing out that both MCP and Open API are evolving standards. While Open API tends to evolve with a much more relaxed pace, the MCP standard (having not even reached a year old when we recorded) uses the date as it's version number. And Mike actually references the latest version of the MCP spec in our conversation, which will give you a clue as to when we recorded it. Before we jump in, a quick reminder: if The Modern .NET Show has become part of your learning journey, please consider supporting us through Patreon or Buy Me A Coffee. Every contribution helps us continue bringing you these in-depth conversations with industry experts. You'll find all the links in the show notes. Anyway, without further ado, let's sit back, open up a terminal, type in `dotnet new podcast` and we'll dive into the core of Modern .NET. Full Show Notes The full show notes, including links to some of the things we discussed and a full transcription of this episode, can be found at: https://dotnetcore.show/season-8/building-the-future-of-apis-mike-kistlers-insights-on-openapi-and-mcp Useful Links: OpenAPI API Blueprint RAML ProducesResponseType attribute Minimal API TypedResults S07E16 - From Code to Cloud in 15 Minutes: Jason Taylor's Expert Insights And The Clean Architecture Template GitHub MCP Server MCP Transports MCP C# SDK Current version of the MCP spec as of the date of recording (aka version 2025-06-18) Microsoft MCP Servers List Mike on LinkedIn .NET Community Standup Supporting the show: Leave a rating or review Buy the show a coffee Become a patron Getting in Touch: Via the contact page Joining the Discord Remember to rate and review the show on Apple Podcasts, Podchaser, or wherever you find your podcasts, this will help the show's audience grow. Or you can just share the show with a friend. And don't forget to reach out via our Contact page. We're very interested in your opinion of the show, so please get in touch. You can support the show by making a monthly donation on the show's Patreon page at: https://www.patreon.com/TheDotNetCorePodcast. Music created by Mono Memory Music, licensed to RJJ Software for use in The Modern .NET Show. Editing and post-production services for this episode were provided by MB Podcast Services.

"Certain formats consistently trigger AI Overviews: clear explainers and definitions, step-by-step how-tos, detailed comparisons and buying guides, and local discovery content with consistent business details," writes Laughlin Rigby, Digital Transformation & AI Director of Core Optimisation The search experience has fundamentally changed. Users no longer just scroll through ten blue links, they are reading answers. Google's AI Overviews, now reaching 1.5 billion users across 200+ countries, synthesise trusted sources into concise, cited summaries above the fold. Meanwhile, agentic browsers like ChatGPT Atlas, Perplexity's Comet, and Edge Copilot sit beside the page, comparing options and completing tasks on behalf of users. This shift demands a new approach: be citable, machine-readable, and action-ready. The classic pillars of SEO remain foundational. What's changed is how we express them, ensuring machines can reliably extract and act upon our information. The behavioural shift When AI-generated answers appear above the fold, click-through behaviour transforms. Traffic concentrates on pages offering canonical facts, original insights, and proprietary data, which is precisely what AI assistants quote. Expect fewer low-intent sessions but higher post-click quality. KPIs must evolve to emphasise assistant-layer visibility through citations and mentions, alongside completion metrics like enquiries and bookings. The content strategy follows: write answer-first, then layer in nuance. Address likely follow-ups on the same page. Becoming citation-worthy Earning citations from AI systems requires deliberate choices. Remain discoverable. Allow reputable AI crawlers like OAI-SearchBot in your robots.txt. Keep high-value pages indexable and track assistant-origin traffic. Structure for dual audiences. Employ semantic HTML and WAI-ARIA. Write one idea per paragraph. Use proper tables for data. Implement schema.org markup for Article, Product, FAQPage, Organisation, and Person, always including datePublished and dateModified timestamps. Clear headings and concise sections improve both human comprehension and machine extraction. Deploy focused FAQs. On high-intent pages, add four to six genuine questions marked up as FAQPage schema. Place direct answers first, then link to details. Demonstrate provenance. Feature named authors with verifiable credentials. Cite reputable sources and maintain claim consistency across channels. Maintain currency. Regularly update priority pages, eliminate duplicates, and establish a single canonical source for each claim, price, or specification. Provide reliable APIs. AI assistants act, not just read. Publish OpenAPI endpoints for dynamic information like prices and availability with stable IDs and clear errors. For complex interactions, develop an official integration. Measure rigorously. Track AI Overview presence, citation share, and SERP features. Monitor assistant referrals using server-side tagging. This is continuous, data-driven optimisation for the assistant era. Campaign strategy in the AI Era Use consented, verifiable sources and label AI-assisted copy where appropriate. Develop a concise brand style guide documenting preferred phrases and model summaries to help your tone survive AI paraphrasing. Establish a visible "source of truth" for prices, policies, and key figures. Position this prominently and mirror it in structured data, ensuring AI assistants quote your facts directly. Agent-friendly design Agentic browsers navigate via the accessibility tree, making inclusive design both ethical and strategic. Bind inputs with proper labels, use descriptive button text, apply ARIA landmark roles, keep states predictable, and design forms for autofill and programmatic submission. Your goal: the agent completes the intended action correctly, first time. Preparing for agentic commerce September 2025 brought two competing standards: OpenAI and Stripe's Agentic Commerce Protocol (ACP), now powering live...

Neste programa produzido em parceria com a Ericsson, Andrea Faustino, CTO para a região Sul da América Latina fala sobre as oportunidades que as APIs abertas e a Inteligência Artificial vão proporcionar para as operadoras de telecomunicações e para os novos serviços digitais, Ela fala sobre a evolução do 5G até aqui no Brasil, o impacto das redes standalone, as oportunidades com serviços baseados em slicing e a necessidade de adaptação das redes para ligar com novos serviços baseados em IA. Hosted on Acast. See acast.com/privacy for more information.

New APIs from Roku, Comcast and The Trade Desk are reshaping digital advertising, from self-serve campaign management to cross-platform measurement. But when it comes to identity and targeting, a new study finds that IP address matching is missing the mark.

At the Wildix Partner Day in Venice, Technology Reseller News Publisher Doug Green spoke with Jon Arnold, Principal of J Arnold & Associates, for a candid analyst perspective on Wildix's strategy and its growing impact on the SMB and channel markets. Arnold noted that while Wildix may be lesser known in North America, its channel-first model, AI-driven innovation, and SMB focus set it apart from larger UCaaS players. “Wildix isn't trying to be everything to everyone — they're laser-focused on SMBs that want modern, ROI-driven communications, not just dial tone,” said Arnold. “They understand how to meet these businesses where they are, whether they're still on legacy PBX systems or rebuilding after the pandemic's patchwork solutions.” He emphasized that Wildix's message is no longer about PBX replacement, but about transforming communications into a strategic asset. “Voice is no longer just about making phone calls — it's data. Once AI enters the picture, conversations become business intelligence, and that's where Wildix is delivering real value,” Arnold explained. Arnold also praised the company's verticalized offerings, including AI-powered retail and healthcare solutions that demonstrate tangible returns for customers and simplify the sales process for MSPs. “They're giving the channel out-of-the-box vertical solutions with integrations already done — that's gold for partners, because it accelerates time to market and reduces disruption,” he said. From workflow automation and open APIs to remote-friendly deployment, Arnold concluded that Wildix exemplifies a vendor that both lives and delivers on the distributed-work model. “They've stayed true to their SMB roots while bringing the power of AI to that market — and that's a story worth paying attention to,” he added. Learn more about Jon Arnold's research and market insights at jarnoldassociates.com.

India is the 2nd largest startup ecosystem now. But, can it be at par with Silicon Valley?With 37 years of experience in the valley, Avanish sahai believes it can. But what made Silicon Valley the ultimate startup ecosystem? It was investors, universities and an environment where people dreamed to come live and work. And, in the last 25 years India has been going through the same transformation. And the changes are nothing short of  admirable.Avanish started his career from a Mckinsey office in 1999 which ideated India's software dream,  with policy changes the country needed to lead in Technology. Since then, he's held senior roles at Oracle, Salesforce, ServiceNow, and Google Cloud, and served on HubSpot's board through its journey from $500M to $2B.Avanish talks with great passion about startups that are disrupting the world today, taking lessons from small companies that took over legends who were believed to be indestructible. Even with all the hype around AI, Avanish reminds us that ultimately it's all about people. 0:00 – Trailer1:13 – 37 years in Silicon Valley2:33 – McKinsey's “Vision 2020” for India (in 1980)7:30 – When only $8 was allowed for migrants to the U.S.?9:48 – “India is the ultimate definition of a startup ecosystem”11:30 – How openness to the world has changed India13:08 – India's tech stack should go global14:09 – Why “India is hot” right now17:41 – Global disruptors building for the world19:48 – Think big and fail often24:09 – HubSpot: Single product → multi-product → platform27:11 – How today's startups can compete with legends30:45 – Salesforce had APIs from day one (in 1999)35:51 – How AI is redefining Legends vs. startups41:51 – Life as a Stanford DCI fellow42:53 – How should the world adapt for 20–25 extra years?45:29 – How to spot the right wave and players in Career45:16 – Get mentors, stay curious, and take risks48:00 – Why it's still all about PEOPLE51:53 – How AI could disrupt vertical SaaS industries-------------India's talent has built the world's tech—now it's time to lead it.This mission goes beyond startups. It's about shifting the center of gravity in global tech to include the brilliance rising from India.What is Neon Fund?We invest in seed and early-stage founders from India and the diaspora building world-class Enterprise AI companies. We bring capital, conviction, and a community that's done it before.Subscribe for real founder stories, investor perspectives, economist breakdowns, and a behind-the-scenes look at how we're doing it all at Neon.-------------Check us out on:Website: https://neon.fund/Instagram: https://www.instagram.com/theneonshoww/LinkedIn: https://www.linkedin.com/company/beneon/Twitter: https://x.com/TheNeonShowwConnect with Siddhartha on:LinkedIn: https://www.linkedin.com/in/siddharthaahluwalia/Twitter: https://x.com/siddharthaa7-------------This video is for informational purposes only. The views expressed are those of the individuals quoted and do not constitute professional advice.Send us a text

In this insightful episode, explore why everyone is becoming an AI operator and why mastering prompt engineering is the key differentiator in the modern workforce. Learn how to effectively communicate with AI to get the results you want—a skill that takes just 10 minutes of proper setup versus 50 minutes of back-and-forth fixes. The conversation also delves into global marketing challenges across different cultures and geographical regions, examining real examples from Sweden to the UK to show how cultural nuances still matter despite the supposed cultural flattening from media. A major part of this discussion focuses on demystifying "revolutionary" technology buzzwords. Discover how cloud computing, APIs, and AI integration aren't actually new—they're just rebranded existing concepts with fancy names. From AWS RDS being just hosted MySQL to MCP being REST API calls, learn to see through the marketing terminology and recognize the simplicity beneath. The episode concludes with thought-provoking discussions about AI's potential for real-world task automation, existential risks, and why treating AI like a good team member with proper context and instructions leads to superior results. Perfect for: Content creators, social media managers, and anyone looking to understand modern technology without the jargon. Try Vista Social for FREE today Book a Demo Follow us on Instagram Follow us on LinkedIn Follow us on Youtube

In this episode, Sean White talks with Seth Frader-Thompson, President of EnergyHub, about virtual power plants (VPPs) and the future of distributed energy. They discuss what VPPs are, how they work, and their potential to transform the electric grid by pooling together devices like batteries, electric vehicles, and smart thermostats. Seth explains the role of EnergyHub in enabling utilities and customers to participate in VPPs, shares real-world examples of customer savings, and explores the growing impact of electric vehicles and bidirectional charging. The conversation also covers the challenges and opportunities of integrating new technology, the importance of software and APIs, and tips for homeowners and installers interested in joining VPP programs.   Topics covered: VPP = Virtual Power Plant How VPPs work and their benefits for the grid Bitcoin Mining DERMS = Distributed Energy Resource Management System Customer participation and incentives in VPP programs Connected Solutions API = Application Programming Interface V2G = Vehicle to Grid V2H = Vehicle to House V2X = Vehicle to Everything Interconnection challenges and grid modernization EnergyHub's platform EVSE = Electric Vehicle Supply Equipment Tips for homeowners and installers on joining VPPs The evolving role of inverters and smart devices   Reach out EnergyHub and Seth Frader-Thompson here: Website: www.energyhub.com Seth's LinkedIn Account: www.linkedin.com/in/frader   Learn more at www.solarSEAN.com and be sure to get NABCEP certified by taking Sean's classes at www.heatspring.com/sean www.solarsean.com/ess

In this episode, we're live on the trade show floor at The Hospitality Show in Denver, Colorado, sitting down with Wendy Zapach, Chief Revenue Officer at Optii. We dive into the major shifts happening in hotel technology, why mergers and acquisitions are shaking up the industry, and what hoteliers should be demanding from their tech partners moving forward.Key Topics Discussed:Why consolidation in hotel tech is creating innovation gapsHow tech mergers affect operators, guest experience & trustWhat hoteliers should ask when a tech partner changes ownershipHow to tell real AI solutions from AI “fluff”Why bigger tech ecosystems don't always mean better outcomesWendy shares insider insights on predictive intelligence, machine learning, open APIs, data transparency, and how hotel teams can protect guest experience while modernizing operations.Watch the FULL EPISODE on YouTube: https://youtu.be/BRH7_W6sVZsLinks:Wendy on LinkedIn: https://www.linkedin.com/in/wendyzapach/Optii: https://www.optiisolutions.com/For full show notes head to: https://themodernhotelier.com/episode/226Follow on LinkedIn: https://www.linkedin.com/company/the-...Join the conversation on today's episode on The Modern Hotelier LinkedIn pageConnect with Steve and David:Steve: https://www.linkedin.com/in/%F0%9F%8E...David: https://www.linkedin.com/in/david-mil.

At the Wildix Partner Day in Venice, Italy, Technology Reseller News Publisher Doug Green sat down with Jason Uslan of Wildix to discuss how the European-born UCaaS and PBX provider is helping small and midsize businesses modernize communications while preserving the trusted channel relationship. “Wildix is 100% channel — we only go to market through our partners,” Uslan explained. “That local partner knows the customer, understands their workflows, and can tailor the solution to fit their needs.” Wildix's unified platform enables SMBs to consolidate fragmented communications — legacy PBX, Microsoft Teams, CRM tools, and email — into a single, flexible system focused on both customer and employee experience. Designed for scalability, the Wildix solution gives partners full control over deployment, billing, and customer ownership while offering end users a seamless, device-agnostic experience across office and remote environments. Uslan emphasized that Wildix fits the SMB market “because it's built for it.” The platform is fully customizable down to the user level, integrates natively with Microsoft Teams and leading CRMs, and supports open APIs for third-party extensions through partners like Red Cactus. “We don't want to disrupt how people work — we want to help them work smarter, faster, and better,” he said. Looking ahead, AI will play a central role in Wildix's evolution. Uslan noted that the company approaches AI “with an ROI mindset — helping SMBs do more without replacing people, by making their teams more efficient.” From improving coaching and analytics through its x-bees employee experience (EX) tools to driving better customer experience (CX), Wildix is positioning partners and customers alike for the next decade of intelligent, integrated communications. To learn more about Wildix solutions and partner opportunities, visit wildix.com.

Episode 302 of Absolute AppSec has hosts Ken Johnson and Seth Law speculating on the upcoming Global AppSec DC conference, predicting the announcement of the OWASP Top Ten 2025 edition, with Brian Glass scheduled to discuss it on the podcast. The conversation shifts to a technical discussion of OpenAI's new browser, Atlas, which is built on Chromium and includes AI capabilities. The hosts noted concern over the discovered prompt instructions for Atlas, which direct the ChatGPT agent to use browser history and available APIs to find data from the user's logged-in sites to answer ambiguous queries or fulfill requests. This functionality raises significant security concerns, as the agent's ability to comb the cache and logged-in sites could be exploited, effectively creating a "honeypot for cross-site scripting" with malicious potential like unauthorized money transfers. The hosts discussed the lack of talk submissions on Mobile Context Protocol (MCP) security at the conference, despite its growing relevance in a world of AI agents and tooling. Finally, they highlighted a new tool called SlopGuard, developed to prevent the risk of AI hallucinating non-existent, potentially malicious packages (which occurs 5-21% of the time) and attempting to install them from registries like NPM.

Scott and Wes dive into Remix 3, exploring how it embraces native web standards like Events, Signals, and Streams to become a truly full-stack framework. They unpack what “LLM-ready,” thin APIs, and a standards-based approach mean for the future of web development. Show Notes 00:00 Welcome to Syntax! 03:21 Uses the platform - native Events, Signals, Streams, Fetch 04:16 Remix 3, Fully Fullstack. 04:57 LLM‑ready + thin APIs 05:53 Brought to you by Sentry.io. 06:18 My previous predictions. 07:44 The value of ‘Standards Based'. 09:13 Component model - JSX/TSX; state = variables; call this.render() 11:56 Adding reactivity to Remix. 15:15 Event‑based architecture - custom events, EventTarget, interactions 20:52 Context & type‑safe access. 22:46 Composing interaction logic within events. 24:25 Signals - AbortSignal to cancel async ops 25:21 Benefits of standards - bring your own tools/libraries Michael Asnong X Post. 26:42 CSS - built‑in CSS prop; Svelte‑like scoping 28:34 Server - Web Request/Response, Web Streams across runtimes 31:23 Frames - async URL‑addressable components with fallbacks 33:07 Tooling - ESM; use Vite or esbuild 34:47 Routing - code‑based named routes 35:57 Questions/Concerns - manual rendering vs reactivity 38:47 URL Pattern API - modern, fast routing foundations 41:33 Sick Picks + Shameless Plugs. Sick Picks Scott: MoCA 2.5 Network Adapter Wes: Bosch Dishwasher 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

AWS Morning Brief for the week of November 3rd, with Corey Quinn. Links:Beyond pilots: A proven framework for scaling AI to productionNew Amazon CloudWatch metrics to monitor EC2 instances exceeding I/O performanceProcessing Amazon S3 objects at scale with AWS Step Functions Distributed Map S3 prefixWhat's the difference between AWS ParallelCluster and AWS Parallel Computing Service?France Télévisions prepared for 2024 Olympic Games with AWS Countdown PremiumAmazon Kinesis Data Streams now supports 10x larger record sizesAmazon DocumentDB (with MongoDB compatibility) announces upgraded query planner that can run queries up to 10x fasterAnnouncing AWS X-Ray SDKs/Daemon End-of-Support and OpenTelemetry MigrationAmazon S3 adds conditional write functionality to copy operationsIntroducing the Capacity Reservation Topology API for AI, ML, and HPC instance typesHow to deploy a SQL Server Failover Cluster Instance across three Availability Zones using Storage Spaces Direct Reduce CAPTCHAs for AI agents browsing the web with Web Bot Auth (Preview) in Amazon Bedrock AgentCore BrowserUsing Kubernetes Labels to Split and Track Application Costs on Amazon EKSIntroducing AWS Lambda event source mapping tools in the AWS Serverless MCP Server Split Cost Allocation Data for Amazon EKS supports Kubernetes labels

"Todo código que a gente escreve vira legado. O código que alguém comitou ontem já tem que dar manutenção, já é passível de bug e, provavelmente, daqui a 30 anos vai ser defasado"  No décimo primeiro episódio do Hipsters.Talks, PAULO SILVEIRA , CVO do Grupo Alun, conversa com LEANDRO MARÇAL , Diretor de Tecnologia do Bradesco, sobre arquiteturas diversas, modernização de stacks e integração de sistemas. Uma conversa reveladora sobre os desafios de grandes empresas que usam tecnologia há décadas, em que o "antigo" e o "moderno" precisam conviver.  Prepare-se para um episódio cheio de conhecimento e inspiração! Espero que aproveitem :) Sinta-se à vontade para compartilhar suas perguntas e comentários. Vamos adorar conversar com vocês!

Recent advancements in quantum computing are pushing the technology closer to practical application, with companies like Google, IBM, and ICONIC making significant strides in stabilizing quantum systems. This progress poses risks to current encryption methods, as traditional security measures may become obsolete due to quantum capabilities. The National Institute of Standards and Technology (NIST) is advocating for the adoption of post-quantum cryptography (PQC) to protect sensitive data, emphasizing the urgency for organizations to reassess their security protocols. Failure to act could result in severe repercussions, including data breaches and regulatory noncompliance.Google's quantum computing division has published research demonstrating practical applications for quantum computers, such as using quantum technology for nuclear magnetic resonance to estimate atomic structures. The company is shifting its focus from merely proving quantum feasibility to making the technology cost-effective. Sundar Pichai, CEO of Alphabet, expressed optimism about the timeline for commercially viable quantum computing, while industry opinions vary, with some experts suggesting practical applications may still be decades away. This divergence highlights the uncertainty surrounding the timeline for widespread quantum adoption.In addition to quantum computing advancements, the episode discusses the integration of PQC into mainstream technology. Microsoft Windows 11 has begun incorporating PQC algorithms into its cryptographic APIs, allowing for the generation of PQC key pairs and hybrid TLS handshakes. Meanwhile, companies like Palo Alto Networks are updating their software to support quantum-resistant encryption. These developments indicate a growing recognition of the need for quantum-safe security measures as organizations prepare for the potential threats posed by quantum computing.For Managed Service Providers (MSPs) and IT decision-makers, the implications are clear: proactive measures are necessary to prepare for the quantum computing era. MSPs should assist clients in inventorying their cryptographic systems and developing a roadmap for adopting PQC. As the U.S. government urges organizations to transition to quantum-safe encryption by 2035, MSPs must prioritize updating protocols and exploring quantum-resistant solutions. The transition to quantum-safe encryption is a multi-year effort, and early preparation will help mitigate future risks associated with quantum advancements. One thing to know today00:00 All About Quantum Computing This is the Business of Tech.    Supported by:  

On this episode of FDE+, Kortney Harmon and Mike Wolford, CEO of LexDuo, explore how AI is redefining what it means to be a recruiter—and why the future belongs to those who build with it, not just use it.They discuss how recruiters are moving beyond basic prompting into programming and workflow design—creating custom GPTs, connecting APIs, and automating tasks that once drained hours from their day. Mike also explains how imagination has become a recruiter's new competitive advantage and outlines the ethical and legal considerations that come with building AI-driven systems.Key Takeaways • The three levels of AI adoption and how each elevates recruiter performance • Why creativity, not coding, defines success in the AI-driven era • How API connections can integrate your ATS, CRM, and communication tools • The coming divide between corporate TA and staffing—and where opportunity grows • How to “automate and elevate” recruiting by combining AI precision with human judgmentDiscover how forward-thinking recruiters are using AI to amplify—not replace—the human side of hiring.___________Follow Mike Wolford on LinkedIn: LinkedIn | Mike Check out his website: lexduo.net Follow Crelate on LinkedIn: Crelate Want to learn more about Crelate? Book a demo here Subscribe to our newsletter: The Full Desk Experience

Jon and Ben discuss the highlights of the 1.81 through 1.84 releases of Rust. This episode was recorded as part of a YouTube live stream on 2025-10-26, which you can still watch. Contributing to Rustacean Station Rustacean Station is a community project; get in touch with us if you'd like to suggest an idea for an episode or offer your services as a host or audio editor! Twitter: @rustaceanfm Discord: Rustacean Station Github: @rustacean-station Email: hello@rustacean-station.org Timestamps & referenced resources [@01:58] - Rust 1.81 [@02:05] - core::error::Error Tracking issue for generic member access build-std Rust project goal [@08:27] - New sort implementations PR implementing the change Repo with the research [@10:49] - #[expect(lint)] [@14:37] - Lint reasons [@16:18] - Stabilized APIs [@16:34] - Duration::abs_diff [@17:25] - hint::assert_unchecked [@22:36] - fs::exists [@25:37] - Compatibility notes [@20:40] - Split panic hook and panic handler arguments [@23:00] - Abort on uncaught panics in extern "C" functions [@27:01] - WASI 0.1 target naming changed [@30:10] - Fix for CVE-2024-43402 CVE announcement [@33:39] - Rust 1.82 [@33:39] - cargo info [@35:06] - Apple target promotions Platform support tiers [@40:10] - Precise capturing use syntax The Captures “trick” Talk on impl Trait [@47:24] - Native syntax for creating a raw pointer Pointers Are Complicated Pointers Are Complicated II Pointers Are Complicated III [@53:43] - Safe items with unsafe extern [@59:32] - Unsafe attributes [@1:03:44] - Omitting empty types in pattern matching The never type [@1:11:33] - Floating-point NaN semantics and const [@1:17:41] - Constants as assembly immediates [@1:19:06] - Safely addressing unsafe statics [@1:22:56] - Stabilized APIs [@1:23:03] - thread::Builder::spawn_unchecked [@1:25:10] - Working with MaybeUninit [@1:25:48] - Exposed SIMD intrinsics [@1:26:14] - Changelog deep-dive [@1:26:26] - Rewrite binary search implementation [@1:27:30] - Rust 1.83 [@1:27:55] - New const capabilities [@1:31:50] - Stabilized APIs [@1:32:06] - New io::ErrorKind variants [@1:33:10] - Option::get_or_insert_default [@1:34:56] - char::MIN [@1:35:48] - Changelog deep-dive [@1:35:48] - Unicode 16 Emoji [@1:39:51] - Sysroot trim-paths [@1:41:31] - cargo update informs of outdated versions [@1:42:43] - cargo --timings dark mode [@1:43:15] - Checksum-based freshness in Cargo nightly [@1:44:26] - Rust 1.84 [@1:44:40] - Cargo considers Rust version for dependency version selection [@1:49:03] - Migration to the new trait solver begins [@1:51:47] - Strict provenance APIs Pointers Are Complicated Pointers Are Complicated II Pointers Are Complicated III Rust has provenance Gankra's write-up on raw pointer design Strict provenance APIs tracking issue [@1:57:53] - Stabilized APIs [@1:57:58] - ::isqrt [@1:58:15] - core::ptr::dangling [@1:59:15] - Changelog deep-dive [@1:59:15] - Include Cargo.lock in published crates [@2:00:12] - wasm32-wasi target removed [@2:01:06] - &raw *invalid_ptr is fine Credits Intro Theme: Aerocity Audio Editing: synchis Hosting Infrastructure: Jon Gjengset Show Notes: Jon Gjengset Hosts: Jon Gjengset and Ben Striegel

Welcome back to The CSS Podcast! We're diving into a series of powerful scroll APIs that enable you to build custom, interactive carousels entirely with CSS, eliminating the need for JavaScript. These APIs, which also power customizable select elements, unlock even more innovative scroll-based experiences Resources: Carousels with CSS → https://goo.gle/46PES79 ::scroll-marker → https://goo.gle/4mEd3o8 CSS Carousel Gallery → https://goo.gle/46Odsyp Carousel Configurator → https://goo.gle/46KEir4  Una Kravets (co-host) Twitter | Instagram | YouTube Making the web more colorful ✨