Podcasts about Apis

Augusto Marietti, CEO and cofounder of Kong, has one of the most remarkable founder stories in Silicon Valley history.In this conversation with Martin Casado, Aghi shares how he went from a garage in Milan to building one of the world's leading API infrastructure companies, surviving years of rejection, living in the U.S. on $1,000 a month, and raising his first $50K while sleeping on Travis Kalanick's couch. They talk about the near-death moments that defined Kong's journey, the seven-year grind before breakout success, and how APIs became the “assembly line of software.” Aghi also explains how Kong evolved into the backbone of modern API and AI connectivity, and why the coming wave of AI agents will make APIs more essential than ever. Resources:Follow Aghi on X: x.com/sonicaghiFollow Kong on X: https://x.com/kongFollow Martin on X: x.com/martin_casado 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.

Nick from Aiometrix explains how agentic AI can automate busywork and boost results for Amazon brands. He began in a California garage with retail arbitrage, then expanded into wholesale and manufacturing during the COVID surge. Today, his team builds AI agents that connect to WMS and ad APIs to make real-time decisions on bids, budgets, and inventory so operators can focus on strategy. Scott and Nick cover Amazon's AI roadmap for sellers and shoppers, why large companies move slowly, then fast, and how to use copilots without losing human judgment. The conversation also touches on advances in image generation, including Google's Nano Banana update, and what these developments could mean for PDP creative.   Episode Notes: 00:15 - Nick Bahr Introduction 01:35 - Nick's Personal Background and Journey 03:04 - The Shift During Covid and Evolution in E-Commerce 05:15 - Amazon's Announcements and AI Adoption 07:24 - The Changing Landscape of AI in E-Commerce 09:20 - The Role and Potential of AI Agents 11:30 - Enhancing Workflow and Decision-Making with AI 13:40 - Specific Use Cases and Technology Developments 16:32 - The Complexity and Regionality in AI Applications 17:45 - Aiometrix: A ChatGPT for Amazon Sellers 18:45 - Education and Mastery in AI Interaction 20:10 - AI for Image Generation 22:15 - Aiometrix Special offer: FREEAGENTS30   Related Post: Top 10 Amazon Quotes From the Operators Podcast   How to Reach Nick: LinkedIn: linkedin.com/in/nick-bahr-47346b9a/ Website: https://aiometrix.com/   Scott's Links: LinkedIn: linkedin.com/in/scott-needham-a8b39813 X: @itsScottNeedham Instagram: @smartestseller YouTube: www.youtube.com/@smartestamazonseller2371 Newsletter: https://www.smartscout.com/newsletter-sign-up Blog: https://www.smartscout.com/blog

In this episode of Next in Media, Mike Shields speaks with Peter Hamilton, Head of Ad Innovation at Roku, about the rapid evolution of connected TV (CTV) advertising and how Roku is bridging the gap between big-brand budgets and small-business accessibility.Peter shares what's really happening behind the scenes as digital-first advertisers and DTC brands move into television, the challenges of onboarding thousands of SMBs, and how Roku's self-serve ad tools and shoppable innovations are reshaping the CTV landscape. He also explains Roku's partnership with Amazon, the growth of shoppable TV, and why “press OK to text” could redefine viewer engagement.With clarity and insider perspective, Peter outlines what's next for CTV—from AI-driven creative experimentation to real-time data loops that empower advertisers of all sizes. Key Highlights

Traditional AR and AP finance is no longer enough. With evolving disclosure requirements, tariff pressures, and increasing supplier expectations, treasurers must deliver liquidity and visibility with fewer resources while managing heavier supplier demands. In this episode, Sean VanGundy and Jeremy Reedus join Craig Jeffery from Strategic Treasurer and Michel Abranches from Monkey Tech (Money is Key) to explore how working capital 2.0 helps treasurers move beyond one-size-fits-all programs. They discuss how hybrid approaches, such as auction-based supplier financing for lower rates alongside automated dynamic discounting, can optimize AR and AP, strengthen supplier adoption, and deliver measurable EBITDA impact. The conversation also highlights how real-time visibility gives treasurers a true decision cockpit and how removing the lift of supplier onboarding and support enables higher participation and improved governance. https://www.monkeytech.com/

Marty gives all the specs and new tidbits about the Vision Pro M5Overview• The Vision Pro M5 keeps the same design and $3,499 price as the original 2024 model.• Inside, Apple replaced the M2 with the M5 chip for significant performance improvements.• Battery life, comfort, and display refresh rates all see meaningful boosts.Hardware & Performance• Processor: M5 replaces M2, paired with R1 for low-latency sensor fusion.• Display: 23M-pixel dual micro-OLED panels now run up to 120 Hz.• Neural Engine: 50% faster system AI; up to 2× faster for third-party AI tasks.• Battery: Increased from ~2 hrs to ~2.5 hrs general use, ~3 hrs video.• Weight: Slightly lighter due to magnesium-lithium alloy frame.• Thermals: New heat pipe design for longer sustained performance.Comfort & Fit• Dual Knit Band combines Solo Knit and Dual Loop into one piece.• Adds fit dial and counterweight ribs for improved comfort.• Band compatible with first-generation Vision Pro.• Better balance and reduced facial pressure.Display & Visual Upgrades• EyeSight external display brighter (300 nits) and more power efficient.• Enhanced color accuracy and reduced distortion in passthrough view.• 10% more rendered pixels; improved readability for text-heavy use.Software & Developer Tools• Runs visionOS 26 with expanded Apple Intelligence features.• Upgraded Personas, widgets, and spatial photos.• Developers get new SDK tier with 120 Hz and AI co-processing APIs.• Updated SpatialSceneKit for lifelike rendering.• Over 1,000 Vision-native apps now available.Accessibility & Expansion• New Live Captioning for FaceTime and immersive videos.• 'Spatial Voice' improves lip-sync and vocal projection.• Global launch expands to Canada, UK, Japan, Germany, and Australia.Email: ThePodTalkNetwork@gmail.comWebsite: ThePodTalk.NetYouTube: YouTube.com/@VisionProFiles

Modern software platforms are increasingly composed of diverse microservices, third-party APIs, and cloud resources. The distributed nature of these systems makes it difficult for engineers to gain a clear view of how their systems behave, which can slow down troubleshooting and increase operational risk. groundcover is an observability platform that uses eBPF sensors to capture The post Engineering in the Age of Agents with Yechezkel Rabinovich appeared first on Software Engineering Daily.

In this episode, Bob and Randy are joined by Philippe Lehoux, the CEO of Missive, a shared email inbox tool for small and medium businesses. The discussion dives into the innovative features of Missive, which combines email and internal team chat functionalities into a single powerful platform. Philippe shares the origin story, the vision behind Missive, and its unique capabilities such as integration with multiple APIs, advanced collaboration features, and AI-driven responses. They also explore the challenges of switching from traditional email clients and the future roadmap focused on AI enhancements. Listeners are treated to insights on improving team communication and productivity, with Philippe emphasizing Missive's role in providing sanity to business operators dealing with communication sprawl.

⬥GUEST⬥Walter Haydock, Founder, StackAware | On Linkedin: https://www.linkedin.com/in/walter-haydock/⬥HOST⬥Sean Martin, Co-Founder at ITSPmagazine and Host of Redefining CyberSecurity Podcast | On LinkedIn: https://www.linkedin.com/in/imsmartin/ | Website: https://www.seanmartin.com⬥EPISODE NOTES⬥No-Code Meets AI: Who's Really in Control?As AI gets embedded deeper into business workflows, a new player has entered the security conversation: no-code automation tools. In this episode of Redefining CyberSecurity, host Sean Martin speaks with Walter Haydock, founder of StackAware, about the emerging risks when AI, automation, and business users collide—often without traditional IT or security oversight.Haydock shares how organizations are increasingly using tools like Zapier and Microsoft Copilot Studio to connect systems, automate tasks, and boost productivity—all without writing a single line of code. While this democratization of development can accelerate innovation, it also introduces serious risks when systems are built and deployed without governance, testing, or visibility.The conversation surfaces critical blind spots. Business users may be automating sensitive workflows involving customer data, proprietary systems, or third-party APIs—without realizing the implications. AI prompts gone wrong can trigger mass emails, delete databases, or unintentionally expose confidential records. Recursion loops, poor authentication, and ambiguous access rights are all too easy to introduce when development moves this fast and loose.Haydock emphasizes that this isn't just a technology issue—it's an organizational one. Companies need to decide: who owns risk when anyone can build and deploy a business process? He encourages a layered approach, including lightweight approval processes, human-in-the-loop checkpoints for sensitive actions, and upfront evaluations of tools for legal compliance and data residency.Security teams, he notes, must resist the urge to block no-code outright. Instead, they should enable safer adoption through clear guidelines, tool allowlists, training, and risk scoring systems. Meanwhile, business leaders must engage early with compliance and risk stakeholders to ensure their productivity gains don't come at the expense of long-term exposure.For organizations embracing AI-powered automation, this episode offers a clear takeaway: treat no-code like production code—because that's exactly what it is.⬥ADDITIONAL INFORMATION⬥✨ More Redefining CyberSecurity Podcast: 

In this October Beekeeping Today Podcast Short, Dr. Dewey Caron returns from Apimondia in Copenhagen and the Washington State Beekeepers Association Conference with another Audio Postcard—this time exploring the long-debated topic of condensing versus ventilated hives. Dewey discusses three levels of communication central to his monthly series: bee scientist to beekeeper, beekeeper to bee, and bee to bee. Drawing on the work of Dr. Tom Seeley and Derek Mitchell of the University of Leeds, he examines how wild colonies regulate temperature and moisture in tree cavities compared to modern Langstroth hives. Listeners will hear Dewey explain the difference between a condensing hive—which retains heat and manages moisture through top insulation—and a ventilated hive, which uses airflow and upper vents to remove humidity. He walks through the pros and cons of each, including the energy cost to bees, honey consumption, and overwintering success. The episode concludes with fascinating insights into heater bees, as first described by Jürgen Tautz, showing how worker bees actively warm brood cells during cold months. Dewey ties it all together with his signature reminder: there's no single right way to keep bees—only the approach that works best for you and your colonies. Links and references mentioned in this episode: Hesbach, W. (2020). The Condensing Colony. American Bee Journal, 160(2), 170–180. Seeley, T. D. (2019). The Lives of Bees: The Untold Story of the Honey Bee in the Wild. Princeton University Press. Radcliffe, R. W. & Seeley, T. D. (2022). Thinking Outside the Box: Temperature Dynamics in a Tree Cavity, Wooden Box, and Langstroth Hives With or Without Insulation. American Bee Journal, 162(8), 893–898. Mitchell, D. (2016). Ratios of Colony Mass to Thermal Conductance of Tree and Man-Made Nest Enclosures of Apis mellifera: Implications for Survival, Clustering, Humidity Regulation, and Varroa destructor. International Journal of Biometeorology, 60(5), 629–638. https://doi.org/10.1007/s00484-015-1057-z Mitchell, D. (2017). Honey Bee Engineering: Top Ventilation and Top Entrances. American Bee Journal, 157(8), 887–889. ISSN 0002-7626. Mitchell, D. (2023). Honeybee Cluster—Not Insulation but Stressful Heat Sink. Journal of the Royal Society Interface, 20:20230488. https://doi.org/10.1098/rsif.2023.0488 Tautz, J. (2008). The Buzz About Bees: Biology of a Superorganism. Springer. Brought to you by Betterbee – your partners in better beekeeping. ______________ Betterbee is the presenting sponsor of Beekeeping Today Podcast. Betterbee's mission is to support every beekeeper with excellent customer service, continued education and quality equipment. From their colorful and informative catalog to their support of beekeeper educational activities, including this podcast series, Betterbee truly is Beekeepers Serving Beekeepers. See for yourself at www.betterbee.com ** As an Amazon Associate, we may earn a commission from qualifying purchases Copyright © 2025 by Growing Planet Media, LLC

Welcome to The Chopping Block — where crypto insiders Haseeb Qureshi, Tom Schmidt, Tarun Chitra, and Robert Leshner chop it up about the latest in crypto. This week, Doug Colkitt, Founder Ambient Finance & Founding Contributor at Fogo, joins us as one of the wildest weekends in crypto history drags us back on air: a record $19B+ in liquidations, gas spiking toward $400, exchange APIs wobbling, and ADL ripping through perps as hedges vanished. We unpack what ADL actually does, why delta-neutral farmers got nuked, and how Binance's USDe and staked ETH/SOL pegs snapped amid index design and mint/redeem gaps—followed by refunds. We get into HLP vs. LLP (vaults vs. winning traders), the Hyperliquid “whale” short ahead of the tariff tweet, cross-margin reflexivity that torched alts, and why market makers wore outsized pain. Then we zoom out to infra: sequencers, force-inclusion in practice, and the case for on-chain clearing plus real insurance funds before the next Listen to the episode on Apple Podcasts, Spotify, Pods, Fountain, Podcast Addict, Pocket Casts, Amazon Music, or on your favorite podcast platform.   Show highlights

When OVO Energy set out to scale conversational experiences without sacrificing reliability or empathy, Senior Software Engineer Lucas Woodward brought developer-grade rigor to CX, building front- and back-end chatbots, automated testing pipelines, and real-time observability, then sharing those tools with the community.  In this episode of Level Up CX Tech, we sit down with Lucas to explore how platform APIs and CX as Code accelerate safe, repeatable deployments. Why shortening feedback loops with dashboards and sentiment signals matters, and how bringing developers closer to customers creates more human, resilient digital journeys. 

This episode explores how treasury teams can unlock the full value of their data. Paul Galloway breaks down key challenges like integration and trust, covers tools from TMS platforms to AI and APIs, and discusses forecasting models. Learn how to build a stronger data architecture and use forecasting techniques that improve visibility and decision-making across the organization.    

The Business of Tech Lounge features a discussion on the evolving landscape of email security, focusing on the modern threats that organizations face today. With email remaining the primary entry point for hackers, the conversation highlights how threats have shifted from simple spam to sophisticated attacks involving AI impersonation and social engineering. Experts Cody Elkley from MailProtector and Mauro Sretari from CIO Landing delve into the specifics of these threats, emphasizing the need for Managed Service Providers (MSPs) to adapt their strategies to stay ahead of potential risks.Cody explains that the nature of email threats has changed significantly over the past five years, moving from volume-based spam to targeted attacks aimed at specific individuals within organizations. Mauro adds that AI is now being leveraged by threat actors to create highly personalized phishing attempts, which can bypass traditional security measures. The discussion underscores the importance of a multi-layered security approach, where MSPs must implement robust email security protocols to protect their clients effectively.The experts also discuss the technical aspects of modern email security architecture, contrasting legacy systems with newer API-driven solutions. Cody highlights the advantages of using APIs, which allow for deeper analysis of email content and better detection of threats before they reach users. Mauro emphasizes the need for MSPs to evaluate vendors based on their integration capabilities and the usability of their security tools, ensuring that they can provide effective protection without overwhelming their clients.As the conversation wraps up, both Cody and Mauro predict that the future will see an increase in AI-assisted phishing and deepfake impersonation attacks. They stress the importance of ongoing communication between vendors and MSPs to share insights and updates on emerging threats. The episode concludes with a call for MSPs to remain vigilant and proactive in their email security strategies, adapting to the rapidly changing threat landscape to safeguard their clients' information.

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 "Simple is always the better choice, but easy is not always the best. So sometimes you'll go to graph, it's a little bit harder for us to write the code for around it, but the bandwidth consumption is considerably smaller. the compute consumption and the ability for it to run on a mobile device is considerably easier."— Jerry Nixon 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 Jerry Nixon. Jerry is a Principal Product Manager at Microsoft, focussing on the tooling and Developer Experience around Azure SQL Server. Jerry shares his advice for architecting web-based APIs, RESTful design, and using what fits within your team, and of course we talk about Data API Builder. "When you think about what an architect really is and their responsibility, the decisions, architectural decisions are the decisions that are the most expensive to change. That's kind of like who should be making this decision? Well, how expensive is it to change? It's very expensive."— Jerry Nixon We also talk about the importance of interpersonal skills in modern software engineering (whether you're working in open source or not), psychological safety, and the importance of self-reflection in our day-to-day work. 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/designing-apis-like-a-pro-lessons-from-jerry-nixon-on-data-api-builder-and-beyond/ Useful Links: SQLBits The original definition of REST Data API Builder documentation Data API Builder on GitHub on MS Learn samples docker Registry SQL Dev Path FusionCache Jerry on X (formerly known as Twitter) Podcast editing services provided by Matthew Bliss Music created by Mono Memory Music, licensed to RJJ Software for use in The Modern .NET Show 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.

With over 30 years in wireless—from helping pioneer intercarrier SMS to running mobile identity operations across Americas and Asia Pacific — Eddie DeCurtis saw what others missed: 967 of 1,000 global mobile network operators lack the infrastructure to monetize CPNI data while protecting customers from fraud. The technical challenge isn't building APIs. It's that operators spent billions on 5G infrastructure and now lack capital, internal expertise, and operational frameworks to launch authentication services. In 18 months, Shush went from PowerPoint to 30 employees, supporting 47 network APIs with full GSMA Open Gateway compliance. Eddie shares how understanding regulatory frameworks by jurisdiction, not just deploying technology, became their competitive moat—and why hiring the executive who built T-Mobile USA's authentication platform gave them credibility no competitor could match. Topics Discussed: Why operators repeatedly said "we want to do it, we have no idea how, we have no money, we don't have a platform" Validating the thesis with former AT&T Communications CEO John Donovan before launching Securing a POC with a major operator pre-incorporation—with only a PowerPoint deck The three-legged stool: technology, network integration, and business operations (where competitors fail) Why knowing privacy regulations for CPNI data sharing by country became a deal-closer Reducing network integration from dozens of touchpoints to three specific network elements Supporting 8 Linux Foundation Camara APIs and TS.43 GBA AKA authentication standard Going from 3 to 30 employees and launching at Mobile World Congress on a $75/night Airbnb budget GTM Lessons For B2B Founders: Validate with the person most likely to kill your idea: Eddie deliberately chose John Donovan—former CEO of AT&T Communications, board member at Lockheed and Palo Alto Networks—specifically because "he's going to be rough, he's going to totally ask the really hard questions." When Donovan's response was "go raise $40 million and own this space...you're not going to be alone for long," the validation carried weight because it came from someone incentivized to find fatal flaws. Most founders validate with friendly audiences or investors looking for deals. Find the battle-tested executive who has nothing to gain from being kind. Convert pre-product conviction into design partner commitments: Eddie secured a POC agreement with a major operator before Shush incorporated. "I had nothing. I didn't have software. We had an idea, we had a PowerPoint presentation." This only works when you've spent decades building domain expertise and relationships. The lesson isn't "sell vaporware"—it's that deep industry knowledge lets you articulate problem-solution fit so precisely that sophisticated buyers commit before seeing code. Infrastructure founders with 10+ years in-market can accelerate 12-18 months of product-market fit by converting expertise into early design partnerships. The enterprise moat is operational knowledge, not technical capability: Eddie's thesis: "Anybody can come up with the technology. You walk down the street in the Bay Area, 10 developers will develop it for you." Shush differentiated by answering questions competitors couldn't: How do you price SIM swap detection per query? What are CPNI data sharing regulations in Indonesia versus Brazil? How do you navigate internal stakeholder alignment across legal, privacy, and regulatory teams at a tier-one operator? When Eddie told an operator "here's the privacy rules for your country" after they admitted "I have no idea," he closed a knowledge gap that pure technology vendors can't fill. In regulated infrastructure markets, execution expertise beats technical superiority. Target the ambition-capability gap in capital-constrained buyers: Operators told Eddie the same story: eager to launch authentication services, zero clarity on execution, budgets decimated by 5G spending. This created perfect conditions for a full-stack solution. "Mid-market is hard because you have a buyer with problems that are not basic anymore, but they lack the ability to execute." Shush didn't sell point solutions—they delivered technology, integration, and business operations as a turnkey package. Identify buyers with sophisticated needs, strong intent, and constrained internal resources. That's where full-stack platforms win over point tools. Hire the operator who ran your exact use case at scale: Eddie cold-called John Morrowton, who "built this actual product and service offering at T-Mobile USA, from its inception to its execution and ran it for four years." His pitch: "I'm Eddie DeCurtis, how are you? You want a job? You're Chief Product Officer." Hiring someone who'd operationalized authentication services at a tier-one carrier gave Shush instant credibility with operator buyers and compressed years of trial-and-error into institutional knowledge. In infrastructure sales, hiring executives from reference customers eliminates "can you actually do this" objections before they surface. Minimize integration surface area to accelerate deployment: Mobile operators run highly secure networks with limited external access points. Shush "narrowed it down to three network elements that we can communicate with to provide all 47 APIs." Fewer integration points means faster deployment, lower implementation risk, and reduced operator IT overhead. This architectural decision became a sales accelerator. Infrastructure founders: identify the minimal viable integration that unlocks maximum API coverage, then make that your differentiated deployment story.   //   Sponsors: Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. www.FrontLines.io The Global Talent Co. — We help tech startups find, vet, hire, pay, and retain amazing marketing talent that costs 50-70% less than the US & Europe. www.GlobalTalent.co // Don't Miss: New Podcast Series — How I Hire Senior GTM leaders share the tactical hiring frameworks they use to build winning revenue teams. Hosted by Andy Mowat, who scaled 4 unicorns from $10M to $100M+ ARR and launched Whispered to help executives find their next role.  Subscribe here: https://open.spotify.com/show/53yCHlPfLSMFimtv0riPyM

On this episode of the Scouting For Growth podcast, Sabine VdL talks to Bobbie Shrivastav, co-founder and CEO of Solvrays about building AI-driven workflows that aim to eliminate 70% of manual back office work with governance, auditability, and with human-in-the-loop controls directly built in. They also talk about what makes vertical AI for insurance defensible and measurable, compressing sales and implementation cycles without cutting corners on risk, change management, and how to augment teams as talent retires while new talent ramps up. KEY TAKEAWAYS When the work comes into an organisation, not everything is digital. Things are still mailed, the first help we provide is extracting the information from those manual sources and place it with the right person in their case management system. That alone eliminates 5-7 touch points. When an agent sends an email we're able to get a new business application, we're able to extract the information, we understand that this is a new business applications, and we can take that data and integrate it into the new business solution. Before, someone would have checked an email, gone to the new business application and keyed that in so work could move in. We've eliminated that complex new business touch point. 74% of our industry is still tackling legacy. Customers don't care if you're still using mainframes, they shouldn't feel a difference. We're using agentic AI as a connector to legacy systems, we're also doing database to database connectors, and for newer systems we're using APIs. We eliminate a dependency factor and empowered IT to work with new technologies, so they're not dependent on us. But the business and IT partnership with any project, whether it's our solution or another, is the key to success. BEST MOMENTS ‘We want to be a ray of hope for the operations staff for back office.' ‘What makes us superior, from an industry point of view, is that we've innovated in this space for the last 10 years, we understand operations intimately.' ‘Once a signature is signed, our goal is to do one workflow in two weeks, not months or years, weeks.' ‘Where I've seen most anxiety in business and IT is in implementation, it can drain your team. Our goal is: If we can build our orchestration layer the right way you don't have to be so tense.' ABOUT THE GUESTS Bobbie Shrivastav is founder and managing principal of Solvrays. Previously, she was co-founder and CEO of Docsmore, where she introduced an interactive, workflow-driven document management solution to optimize operations. She then co-founded Benekiva, where, as COO, she spearheaded initiatives to improve efficiency and customer engagement in life insurance. She co-hosts the Insurance Sync podcast with Laurel Jordan, where they explore industry trends and innovations. She is co-author of the book series "Momentum: Makers and Builders" with Renu Ann Joseph. LinkedIn ABOUT THE HOST Sabine is a corporate strategist turned entrepreneur. She is the CEO and Managing Partner of Alchemy Crew a venture lab that accelerates the curation, validation, & commercialization of new tech business models. Sabine is renowned within the insurance sector for building some of the most renowned tech startup accelerators around the world working with over 30 corporate insurers, accelerated over 100 startup ventures. Sabine is the co-editor of the bestseller The INSURTECH Book, a top 50 Women in Tech, a FinTech and InsurTech Influencer, an investor & multi-award winner. Twitter LinkedIn Instagram Facebook  TikTok Email Website This Podcast has been brought to you by Disruptive Media. https://disruptivemedia.co.uk/

Amey Desai, the Chief Technology Officer at Nexla, speaks with host Sriram Panyam about the Model Context Protocol (MCP) and its role in enabling agentic AI systems. The conversation begins with the fundamental challenge that led to MCP's creation: the proliferation of "spaghetti code" and custom integrations as developers tried to connect LLMs to various data sources and APIs. Before MCP, engineers were writing extensive scaffolding code using frameworks such as LangChain and Haystack, spending more time on integration challenges than solving actual business problems. Desai illustrates this with concrete examples, such as building GitHub analytics to track engineering team performance. Previously, this required custom code for multiple API calls, error handling, and orchestration. With MCP, these operations can be defined as simple tool calls, allowing the LLM to handle sequencing and error management in a structured, reasonable manner. The episode explores emerging patterns in MCP development, including auction bidding patterns for multi-agent coordination and orchestration strategies. Desai shares detailed examples from Nexla's work, including a PDF processing system that intelligently routes documents to appropriate tools based on content type, and a data labeling system that coordinates multiple specialized agents. The conversation also touches on Google's competing A2A (Agent-to-Agent) protocol, which Desai positions as solving horizontal agent coordination versus MCP's vertical tool integration approach. He expresses skepticism about A2A's reliability in production environments, comparing it to peer-to-peer systems where failure rates compound across distributed components. Desai concludes with practical advice for enterprises and engineers, emphasizing the importance of embracing AI experimentation while focusing on governance and security rather than getting paralyzed by concerns about hallucination. He recommends starting with simple, high-value use cases like automated deployment pipelines and gradually building expertise with MCP-based solutions. Brought to you by IEEE Computer Society and IEEE Software magazine.

Application programing interfaces, more commonly known as APIs, are the engines behind the majority of internet traffic. The pervasive and public nature of APIs have increased the attack surface of the systems and applications they are used in. In this  podcast from the Carnegie Mellon University Software Engineering Institute (SEI), McKinley Sconiers-Hasan, a solutions engineer in the SEI's CERT Division, sits down with Tim Morrow, Situational Awareness Technical Manager, also with the CERT Division, to discuss emerging API security issues and the application of zero-trust architecture in securing those systems and applications.   

In this podcast, Vishal Iyengar, Principal at Deloitte, and Mike Stimpson, CTO at enGen, discuss the strategic value that AI Agents can unlock to transform healthcare outcomes, operations, and stakeholder experience. They explore the practical use of Agents to answer foundational questions and address requests for information from members and providers that routinely cause abrasion, confusion, and administrative overhead. Vishal and Mike also highlight what is needed for these Agentic solutions to be deployed and adopted for organizations to achieve the expected results – data integrity, cyber security, governance and compliance, and targeted talent. In this episode, they talk about:How AI has grown from traditional machine learning to GenAI to today's Agentic capabilitiesA simple 3-layer setup: domain agents (specialists), reasoning agents (the organizer), and an enterprise model (the professor)Real-life use cases, like “Is this service covered?” or “Why was my claim denied?”What enGen focuses on to succeed: fresh thinking, outside perspectives, curiosity, a willingness to rebuild, and the right teamenGen's vision is transforming healthcare by supporting members on their whole health journey and creating seamless experiencesSmarter data with AI-enabled APIs that make information easy to use across different needsWhy speed matters but not at the cost of security and trustA Little About Vishal and Mike:Vishal brings over 2 decades of technology and business transformation experience in the Health Care industry. He specializes in the infusion and adoption of new-age technologies into today's complex ecosystem that enables Payers and Providers to manage, deliver, and reimburse for care. Most recently, he has focused on real-world use of AI to augment technologists, operators, and business experts to meaningfully change how Health Care systems support their stakeholders. Mike comes to enGen with over 25 years of experience in technology and operations within both the health care and financial services industries. For the past 20 years, he consulted with health care organizations in transforming their businesses through technology-enabled solutions and large-scale business transformations specifically focused in core administration and service transformation . Mike leads enGen's person-centric solutions focused on digital, clinical and provider transformation that puts the member and patient at the center of their healthcare journey.

At the heart of The Prophets' vision are “The 24 Essential Supply Chain Processes.” What are they? Find out, and see the future yourself. Click here This episode, recorded live at the QAD Midwest Users Conference, brings together voices shaping the future of automotive supply chains. Hosts Jan Griffiths, Terry Onica, and Jim Liegghio sat down with leaders across the supply chain to explore the future of manufacturing, technology, and collaboration.French Williams from Royal Technologies began by sharing how his company approaches automation. Rooted in a culture of “better tomorrow than today,” Royal has built a model where IT and supply chain work hand in hand, co-developing solutions that allow the company to scale and respond to customer needs.Autokiniton's Andy Amstuz takes the mic next. As VP of IT and president of the Midwest User Group, he explains why user groups matter. The community becomes a lifeline when challenges hit.Autokiniton already puts real-time performance data in front of operators at every work center, proof that frontline visibility drives better decisions.Fresh off his keynote, QAD's new CEO, Sanjay Brahmawar, outlined his vision for ERP as a “system of action” rather than a “system of record.” He introduced QAD's Champion AI, designed to reduce mundane work, tackle complex challenges like inventory costs, and accelerate implementations through “Champion Pace.”For Sanjay, culture is as critical as technology. He points to Redzone's track record — 26% productivity gains, 81% more engagement, and 35% lower attrition — as proof that empowering shop-floor teams changes the game.Andrea Hyska and Jon Smith of Lacks Enterprises brought the conversation down to the plant level, sharing how their IT teams succeed by staying connected to the business. From extending QMS capabilities to implementing shop floor applications, they credit a collaborative culture and hands-on leadership with making automation practical and effective.AIAG's Fred Coe closes with where data exchange is heading. EDI is not going away, but APIs and Catena-X will complement it, which makes standardization and supplier voices at the table urgent. He reminds listeners that shaping the future requires participation, not waiting for others to decide the direction.By the end of the conference, a clear theme had emerged: culture drives adoption, community accelerates learning, and technology is only effective when people are fully engaged. At this conference, the future of automotive supply chains didn't feel theoretical; it felt like it was already being built, one conversation at a time.Themes discussed in this episode:The role of company culture in driving collaboration between IT, supply chain, and operationsHow automation helps tier two suppliers like Royal Technologies scale effectively and serve customers betterThe value of peer networks and user groups in supporting manufacturers through industry volatilityWhy empowering frontline workers with real-time production data strengthens decision-making on the shop floorThe shift from ERP as a “system of record” to ERP as a “system of action” under QAD's Champion AI visionWhy Lacks Enterprises prioritizes teamwork and floor-level engagement to ensure technology projects succeedThe growing importance of APIs and Catena-X in shaping the future of EDI and supply chain data exchangeThe risk suppliers face if they fail to engage in setting industry standards for connectivity and collaborationFeatured guests:Name: French...

LLMs at Scale: Infrastructure That Keeps AI Safe, Smart & Affordable // MLOps Podcast #341 with Marco Palladino, Kong's Co-Founder and CTO.Join the Community: https://go.mlops.community/YTJoinInGet the newsletter: https://go.mlops.community/YTNewsletter// AbstractWhile conversations around AI regulations continue to evolve, the responsibility for AI continues to be with developers. In this episode, Marco Palladino, CTO and co-founder of Kong Inc., explores what it means to build and scale AI responsibly when the rulebook is still being written. He explains that infrastructure should be the frontline defense for enforcing governance, security, and reliability in AI deployments. Marco shares how Kong's technologies, including AI Gateway and AI Manager, help organizations rein in shadow AI, reduce LLM hallucinations, improve observability, and act as the foundation for agentic workflows.// BioMarco Palladino is an inventor, software developer, and internet entrepreneur. As the CTO and co-founder of Kong, he is Kong's co-author, responsible for the design and delivery of the company's products, while also providing technical thought leadership around APIs and microservices within both Kong and the external software community. Prior to Kong, Marco co-founded Mashape in 2010, which became the largest API marketplace and was acquired by RapidAPI in 2017. // Related LinksWebsite: https://konghq.com/ https://www.youtube.com/watch?v=odpPVeQZjHU https://www.thestack.technology/the-big-interview-kong-cto-marco-palladino/ ~~~~~~~~ ✌️Connect With Us ✌️ ~~~~~~~Catch all episodes, blogs, newsletters, and more: https://go.mlops.community/TYExploreJoin our Slack community [https://go.mlops.community/slack]Follow us on X/Twitter [@mlopscommunity](https://x.com/mlopscommunity) or [LinkedIn](https://go.mlops.community/linkedin)] Sign up for the next meetup: [https://go.mlops.community/register]MLOps Swag/Merch: [https://shop.mlops.community/]Connect with Demetrios on LinkedIn: /dpbrinkmConnect with Marco on LinkedIn: /marcopalladino/Timestamps:[00:00] Agent-mediated interactions shift[01:17] Kong connectivity and agents[04:36] Transcript cleanup request[08:11] MCP server use cases[12:37] Agent world possibilities [15:55] Business communication evolution[18:55] System optimization[25:36] AI gateway patterns[31:30] Investment decision making[35:54] Building conviction process[41:34] Polished customer conversation[46:37] AI gateway R&D future[50:52] Wrap up

Scott and Wes sit down with Ricky Hanlon from the React core team at Facebook to dive into the latest features and APIs shaping modern React development. From transitions and Suspense to fetching strategies and future directions, this episode breaks down what's next for React and how developers can take advantage of it. Show Notes 00:00 Welcome to Syntax! 01:20 Who is Ricky Hanlon. 02:10 Setting the Stage: Modern React APIs 02:48 Brought to you by Sentry.io. 03:12 Defining Transitions in React 05:08 Practical Examples of Scheduling. 08:23 useDeferredValue. 09:30 Suspense. 11:13 Fallbacks and animations. 12:35 How do you get psychological performance data? 13:39 Are these considerations reasonable for the average dev? 15:37 useOptimistic. 17:35 Removing delayMs (referred to as maxDuration in later iterations). 19:49 How to fetch data in React. 21:58 Is React now just Nextjs? 23:23 Will React give us a Signals-based state management? 24:44 The challenges of building in public. 30:12 Making LLMs cooperate with React. 32:05 The lifting will happen at framework level. 32:59 This is not time slicing. 35:47 Sick Pick + Shameless Plug. Sick Picks Ricky: iPhone 17 Pro Shameless Plugs Ricky: https://conf.react.dev/ 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

Did you know that Playwright offers an elegant, unified framework that seamlessly integrates both UI and API testing within a single language and test runner? Don't miss the early bird Automation Guild discount: https://testguild.me/ag26early This episode explores how Playwright empowers teams to simplify test maintenance, eliminate silos between dev and QA, and gain true full-stack confidence. You'll discover: How to make your tests 10x faster and more reliable by using API requests for setup instead of brittle UI flows. How to write hybrid tests that validate both UI actions and backend APIs in a single flow. A modern, unified testing strategy that reduces operational friction and helps teams deliver high-quality applications with confidence. Our guest, Naeem Malik, brings 15 years of QA and automation expertise. As the creator of Test Automation TV and bestselling Udemy courses, Naeem specializes in making complex test automation concepts simple, practical, and impactful for engineering teams. Whether you're a QA leader, automation engineer, or DevOps practitioner, this episode will give you the tools to rethink your testing strategy and unlock the power of Playwright.

Modern software systems are composed of many independent microservices spanning frontends, backends, APIs, and AI models, and coordinating and scaling them reliably is a constant challenge. A workflow orchestration platform addresses this by providing a structured framework to define, execute, and monitor complex workflows with resilience and clarity. Orkes is an enterprise-scale agentic orchestration platform The post Orkes and Agentic Workflow Orchestration with Viren Baraiya appeared first on Software Engineering Daily.

In the final episode of Powering Payments Together: How Payroc Helps ISVs Scale Smarter, we turn the spotlight on CenterEdge Software and their journey to building a payments program that drives real business value. Leslie Legel, Director of Payments at CenterEdge, joins the conversation to share how Payroc has become a trusted partner in helping them overcome challenges, strengthen their platform, and deliver a seamless experience for their clients.Leslie explains why payments are mission-critical for family entertainment centers, where more than 90 percent of transactions are digital and downtime isn't an option. From July 4th waterparks to cashless operations, reliability isn't just a nice-to-have—it's the foundation of customer satisfaction. She reflects on a tough lesson learned when a gateway integration didn't meet expectations, and how those setbacks ultimately led CenterEdge to develop a more reliable and scalable payments strategy.The episode also explores how CenterEdge built and branded “CenterEdge Payments,” giving them control over the customer journey and creating a more transparent, feature-rich solution for their clients. Leslie shares how Payroc stood out as a partner, not just for their technology and APIs, but for their willingness to understand CenterEdge's business, answer tough questions, and provide the tools and flexibility needed to scale.Finally, Leslie offers advice to ISVs navigating the high-stakes world of payments: do your homework, know your limitations, and find a partner who is as invested in your success as you are. Looking ahead, she discusses how CenterEdge and Payroc will continue to grow together, exploring new solutions and opportunities to strengthen their offering in the family entertainment space.

Recent studies have shown how AI Agents have expanded the attack surface for federal agencies.   Today, we sit down with three leaders who demonstrate why fundamentals, such as visibility, inventory, runtime, and least-permissive access control, will be more critical than ever.   Rob Roser from Idaho National Labs looks at the proliferation of API in the past decade.  Although they facilitate communication, they can also give a path to attackers. He notes that today's attackers are interested in much more than money, the seek intellectual property that can compromise American security.   Phishing and security training are good starting points, but developers must learn what tools to use to be able to use AI an appropriate manner.   Where to start?  Steven Ringo from Akamai give four key points for handling the drastic increase in data generated by AI   ·       One: Discovery -  build an API inventory  ·       Two: Posture – implement policies that can control the APIs ·       Three: Run Time protection - design how to alert and take action to block ·       Four:  Active testing prevention that is continuous   The webinar underscored the urgency of integrating API security into comprehensive cybersecurity strategies and recommends programs to test and validate APIs before production deployment.

Jonathan DiVincenzo, co-founder and CEO of Impart Security, joins the show to unpack one of the fastest growing risks in tech today: how AI is reshaping the attack surface. From prompt injections to invisible character exploits hidden inside emojis, JD explains why security leaders can't afford to treat AI as “just another tool.” If you're an engineering or security leader navigating AI adoption, this conversation breaks down what's hype, what's real, and where the biggest blind spots lie.Key Takeaways• Attackers are now using LLMs to outpace traditional defenses, turning old threats like SQL injection into live problems again• The attack surface is “iterating,” with new vectors like emoji-based smuggling exposing unseen vulnerabilities• Frameworks have not caught up. While OWASP has listed LLM threats, practical solutions are still undefined• The biggest divide in AI coding is between senior engineers who can validate outputs and junior developers who may lack that context• Security tools must evolve quickly, but rollout cannot create performance hits or damage business systemsTimestamped Highlights01:44 Why runtime security has always mattered and why APIs were not enough04:00 How attackers use LLMs to regenerate and adapt attacks in real time06:59 Proof of concept vs. security and why both must be treated as first priorities09:14 The rise of “emoji smuggling” and why hidden characters create a Trojan horse effect13:24 Iterating attack surfaces and why patches are no longer enough in the AI era20:29 Is AI really writing production code and what risks does that createA thought worth holding onto“AI is great, but the bad actors can use AI too, and they are.”Call to ActionIf this episode gave you new perspective on AI security, share it with a colleague who needs to hear it. Follow the show for more conversations with the leaders shaping the future of tech.

If your MCP server has dozens of tools, it's probably built wrong.You need tools that are specific and clear for each use case—but you also can't have too many. This creates an almost impossible tradeoff that most companies don't know how to solve.That's why we interviewed Alex Rattray, the founder and CEO of Stainless. Stainless builds APIs, SDKs, and MCP servers for companies like OpenAI and Anthropic. Alex has spent years mastering how to make software talk to software, and he came on the show to share what he knows. We get into MCP and the future of the AI-native internet.If you found this episode interesting, please like, subscribe, comment, and share.Want even more?Sign up for Every to unlock our ultimate guide to prompting ChatGPT here: https://every.ck.page/ultimate-guide-to-prompting-chatgpt. It's usually only for paying subscribers, but you can get it here for free.To hear more from Dan Shipper:- Subscribe to Every: https://every.to/subscribe- Follow him on X: https://twitter.com/danshipperReady to build a site that looks hand-coded—without hiring a developer? Launch your site for free at Framer.com, and use code DAN to get your first month of Pro on the house.Timestamps:00:00:00 - Start00:01:14 - Introduction00:02:54 - Why Alex likes running barefoot00:05:09 - APIs and MCP, the connectors of the new internet00:10:53 - Why MCP servers are hard to get right00:20:07 - Design principles for reliable MCP servers00:23:50 - Scaling MCP servers for large APIs00:25:14 - Using MCP for business ops at Stainless00:28:12 - Building a company brain with Claude Code00:33:59 - Where MCP goes from here00:41:10 - Alex's take on the security model for MCPLinks to resources mentioned in the episode:- Alex Rattray: Alex Rattray (@RattrayAlex), Alex Rattray - Stainless: https://www.stainless.com/

A Cybercrime group abuses routers to send SMS spam, CISA announces a new collaboration model for state governments, South Korea raises its cyber threat level after a data center fire, and Tile tracking devices expose their location. Show notes Risky Bulletin: Router APIs abused to send SMS spam waves

How serious is the cargo theft crisis, and what real solutions are available today? How do we solve the connectivity challenges in freight tech, and why are APIs critical to the future of logistics?  Listen to our guests from the 2025 IANA Conference, Curtis Spencer of Bloodhound Tracking Device and Keith Peterson of NMFTA, as we dive into cargo security, advanced tracking systems, the market transformation that's happening right now in freight, the mission of the Digital Standards Development Council (DSDC), and their push to create common API language across carriers, shippers, 3PLs, and technology providers.   Curtis' Website: https://btdtracker.com/  Keith's Website: https://nmfta.org/  / https://dsdc.nmfta.org/home  

Our guest is Sam Sadi, CEO of LiveScore Group, and a regular visitor on Unofficial Partner. Last week he announced a groundbreaking new partnership between the LiveScore sports content and betting platform and xAI, the Elon Musk owned social media platform's artificial intelligence company.This gives LiveScore access to X's data/content APIs and xAI's technology for real-time sports conversations, sentiment analysis, and AI-powered engagement tools.What happens next will tell us much about some of the big words we use a lot on the podcasts: personalisation, content, audience sentiment and engagement.Don't miss it.Unofficial Partner is the leading podcast for the business of sport. A mix of entertaining and thought provoking conversations with a who's who of the global industry. To join our community of listeners, sign up to the weekly UP Newsletter and follow us on Twitter and TikTok at @UnofficialPartnerWe publish two podcasts each week, on Tuesday and Friday. These are deep conversations with smart people from inside and outside sport. Our entire back catalogue of 400 sports business conversations are available free of charge here. Each pod is available by searching for ‘Unofficial Partner' on Apple, Spotify, Google, Stitcher and every podcast app. If you're interested in collaborating with Unofficial Partner to create one-off podcasts or series, you can reach us via the website.

As CTO of Block, Dhanji Prasanna has overseen a dramatic enterprise AI transformation, with engineers saving 8-10 hours a week through AI automation. Block's open-source agent goose connects to existing enterprise tools through MCP, enabling everyone from engineers to sales teams to build custom applications without coding. Dhanji shares how Block reorganized from business unit silos to functional teams to accelerate AI adoption, why they chose to open-source their most valuable AI tool and why he believes swarms of smaller AI models will outperform monolithic LLMs. Hosted by: Sonya Huang and Roelof Botha, Sequoia Capital Mentioned in the episode: goose: Block's open-source, general-purpose AI agent used across the company to orchestrate workflows via tools and APIs.  Model Context Protocol (MCP): Open protocol (spearheaded by Anthropic) for connecting AI agents to tools; goose was an early adopter and helped shape. bitchat: Decentralized chat app written by Jack Dorsey Swarm intelligence: Research direction Dhanji highlights for AI's future where many agents (geese) collaborate to build complex software beyond a single-agent copilot. Travelling Salesman Problem: Classic optimization problem cited by Dhanji in the context of a non-technical user of goose solving a practical optimization task. Amara's Law: The idea, originated by futurist Roy Amara in 1978, that we overestimate tech impact short term and underestimate long term. 00:00 Introduction 01:48 AI: Friend or Foe? 03:13 Block's Journey with AI and Technology 04:47 Block's Diverse Product Range 07:04 Driving AI at Block 14:28 The Evolution of Goose 27:45 Integrating Goose with Existing Systems 28:23 Goose's Learning and Recipe Feature 29:41 Tool Use and LLM Providers 31:40 Impact of AI on Developer Productivity 34:37 Block's Commitment to Open Source 39:09 Future of AI and Swarm Intelligence 43:05 Remote Work at Block 45:15 Vibe Coding and AI in Development 48:43 Making Goose More Accessible 51:28 Generative AI in Customer-Facing Products 54:09 Design and Engineering at Block 55:38 Predictions for the Future of AI

This episode is all about hardware, with none other than Jon Hirschtick, the mind behind SolidWorks and Onshape (onshape.pro/thebuildercircle). Jon has spent his career building the tools that engineers use to design, prototype, and ship world-changing products. We dug into the ethos of hardware development, what it takes to earn your seat in the engineering workflow, and how software can unlock (or block) real innovation in hardware. In this episode, you'll discover: ⚙️ How to turn a product idea into a real-world innovation. ⚙️ Jon Hirschtick's untold parts of the journey (SolidWorks & Onshape) + lessons from building world-changing tools. ⚙️ Why customer needs—not wants—are the true foundation of great products. ⚙️How to uncover real problems vs. surface-level requests. ⚙️ Strategies to earn your seat in the engineering workflow & drive adoption. ⚙️ Why usage trumps sales when proving product-market fit. ⚙️ Smarter ways to size markets & avoid founder pitfalls. ⚙️ How humility, curiosity, and customer visits fuel innovation. ⚙️ Why failure sits right next to success (and how to iterate fast). ⚙️ The 3 must-have software types every hardware team needs. ⚙️ Lightning takes on open APIs, modeling approaches, building in public vs. stealth, and more.

We explore the latest Facebook updates with Jerry Potter featuring Tara Zirker on the Social Media Marketing Talk Show.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

In this episode, Nataraj welcomes Matt Martin, CEO of Clockwise, to explore the science of smart scheduling. Discover how Clockwise uses AI to optimize calendars, reduce meeting overload, and create more focused work time. Matt shares insights on balancing collaboration with individual productivity, the impact of remote work on meeting culture, and the future of AI-powered time management. Learn actionable strategies to transform your workday and boost your team's efficiency. Why care? Because reclaiming your time is the first step to achieving your goals.### What you'll learn- Implement AI-driven tools to analyze and optimize your schedule for peak productivity.- Balance maker and manager schedules to accommodate different work styles within your team.- Identify and eliminate unnecessary meetings to free up valuable time for focused work.- Leverage asynchronous communication methods to reduce the reliance on synchronous meetings.- Understand the impact of remote work on meeting culture and adapt your strategies accordingly.- Measure the ROI of productivity tools to ensure they are contributing to your bottom line.- Explore the potential of AI agents to automate scheduling and optimize workflows.- Discover the importance of memory and context in AI assistants for the workplace.### About the Guest and Host:Guest Name: Matt Martin, CEO of Clockwise, helping individuals and teams create smarter schedules with AI.Connect with Guest:→ LinkedIn: https://www.linkedin.com/in/voxmatt/→ Website: https://www.getclockwise.com/Nataraj: Host of the Startup Project podcast, Senior PM at Azure & Investor.→ LinkedIn: https://www.linkedin.com/in/natarajsindam/→ Twitter: https://x.com/natarajsindam→ Substack: ⁠https://startupproject.substack.com/⁠### In this episode, we cover(00:01) Introduction to Matt Martin and Clockwise(00:58) What is Clockwise and how customers use it(02:19) Optimizing meetings in organizations(02:56) Maker Schedule versus Manager Schedule(05:38) Trends in non-scheduled meetings(07:33) The shift in adopting new SaaS products(08:43) Impact of zero interest rate environment on SaaS buying(11:32) AI agents and their promises(12:49) Measuring efficiency gains with AI tools(14:14) Outcome-based pricing models(17:46) How Clockwise leverages AI in its product(20:51) MCP vs APIs(22:26) The trend of half-baked tools(24:54) Rethinking fundamental apps with AI(26:56) Adding AI features on current products(29:03) Power of products like Zapier and Enneken with AI(33:08) Categories of AI companies that are likely to succeed(36:49) AI assistant for your workplace(39:26) User interface(46:01) How to discover Matt and ClockwiseDon't forget to subscribe and leave us a review/comment on YouTube Apple Spotify or wherever you listen to podcasts.#Clockwise #AIScheduling #CalendarOptimization #ProductivityTips #TimeManagement #MeetingStrategy #RemoteWork #HybridWork #AITools #SaaS #Entrepreneurship #StartupProject #NatarajSindam #Podcast #TechInnovation #WorkflowAutomation #ArtificialIntelligence #ProductivityHacks #MattMartin

DTOs (Data Transfer Objects) aren't mentioned anywhere in the Laravel docs, but some devs use them heavily in their applications, whereas other devs never use them at all.In the latest episode of the No Compromises podcast, we weigh the pros and cons of DTOs in everyday Laravel apps, comparing them to form requests, PHPDoc-typed arrays, and service-layer boundaries, and share one area where DTOs truly shine. The takeaway: keep DTOs in the toolbox, but reach for them intentionally, not by habit.(00:00) - Framing DTOs in a stricter PHP world (01:15) - Our current practice: hybrids, few true DTOs (02:45) - Form requests, `safe()`, and typed inputs (03:45) - Reuse across API and form layers rarely aligns (04:30) - Where DTOs shine: normalizing multiple APIs (05:45) - Service boundaries: wrapping vendor objects (e.g., Stripe) (06:15) - PHPDoc-typed arrays vs DTO overhead (06:45) - Conventions, Larastan levels, and avoiding ceremony (07:45) - Treat DTOs as a tool, not a rule (09:15) - Silly bit Want to discuss how we can help you with an architecture review?

In this episode of Open Tech Talks, host Kashif Manzoor sits down with Maurice McCabe, founder of AIASystems, AI specialist, and software architect with decades of experience in Silicon Valley and Los Angeles. Maurice shares his journey from early machine learning applications in mobile advertising to leading-edge work in Generative AI and Agentic AI systems. The conversation on the concept of the AI Factory, a framework that transforms enterprise workflows and subject-matter expertise into scalable AI startups and SaaS products. Maurice explains how his team is building real-time AI agents, avatars, and voice-based AI systems. He also introduces the ADAPT methodology, designed to help enterprises accelerate AI adoption and move beyond slow, traditional management cycles. Key insights include how to evaluate AI maturity models, integrate generative AI into an enterprise architecture, and address the security challenges posed by unstructured data. Listeners will learn practical lessons for founders, consultants, and enterprises from how to bootstrap AI ventures and filter out hype, to why unstructured data is emerging as the next frontier of enterprise AI innovation. Episode # 168 Today's Guest: Maurice McCabe, Co-Founder of AIA Systems He has spent 20 years developing systems that ensure things actually work, from scalable SaaS platforms and real-time data pipelines to voice agents deployed in production environments. Website: AIASystems What Listeners Will Learn: How enterprises can spin off niche products from workflows and subject-matter expertise. Emerging trends such as real-time avatars, voice-based agents, and multi-agent swarms. Why LiveKit, WebRTC, and specialized APIs are enabling scalable real-time AI systems. Lessons on cash flow, partnerships, and productivity tools for founders entering the generative AI space. A framework to help enterprises strategically adopt AI and outpace competitors. How to assess readiness through data, processes, and accessibility for generative AI adoption. Current gaps, risks of prompt manipulation, and the need for evaluation loops in AI systems. How to integrate unstructured data workflows into existing structured enterprise systems. Techniques for filtering hype, testing pilots, and staying grounded while AI evolves weekly.   Resources: AIASystems

Overview Greg Robertson sits down with Michael Wurzer, CEO of FBS (Flexmls), right after CMLS 2025 in Toronto. They reflect on the state of the MLS industry, FBS's growth and culture, and how AI, standards, and industry consolidation are shaping the future of organized real estate. Key Takeaways FBS growth & longevity FBS is now the #2 MLS system vendor with near-100% retention. Employee-owned culture drives long-term stability and customer focus. Industry leadership Wurzer has been influential in pushing APIs, RESO standards, and long-term tech adoption. Stresses that standards work is critical and shouldn't be overshadowed by hype around AI. AI & MCP New protocols like MCP let large language models connect directly to MLS APIs. This evolution validates years of investment in standards and API development. Compass/Anywhere merger Private listing networks challenge cooperation but face adoption hurdles. Consolidation could create distractions; agent adoption remains the biggest barrier. CMLS 2025 reflections Strong broker/MLS dialogue, with Craig Cheatham's session a highlight. Local broker engagement remains the most important success metric for MLSs. Source MLS revival Effort to clearly brand MLS-sourced listings and improve analytics transparency. Planned launch at the 2026 RESO/REset conference. Regionalization & data standardization Florida coast example: six MLSs aligned on one entry system, eliminating duplicates. Push for more regional cooperation to solve overlapping market disorder. Vendor vs. MLS-owned tech MLSs entering the vendor space still face the same integration and sustainability challenges. Wurzer argues FBS, as an employee-owned vendor, shares MLS values and long-term commitment. Future concerns & opportunities Biggest worry: MLSs losing focus on standardizing data formats regionally. Supports potential CMLS–RESO merger if it leads to stronger professional staffing and delivery of promised value.    

Elizabeth Figura, a Wine Developer at CodeWeavers, speaks with SE Radio host Jeremy Jung about the Wine compatibility layer and the Proton distribution. They discuss a wide range of details including system calls, what people run with Wine, how games are built differently, conformance and regression testing, native performance, emulating a CPU vs emulating system calls, the role of the Proton downstream distribution, improving Wine compatibility by patching the Linux kernel and other related projects, Wine's history and sustainment, the Crossover commercial distribution, porting games without source code, loading executables and linked libraries, the difference between user space and kernel space, poor Windows API documentation and use of private APIs, debugging compatibility issues, and contributing to the project. This episode is sponsored by Monday Dev

In this episode, we look at how Chicago is using user-generated storytelling through its “All for the Love of Chicago” campaign to showcase civic pride and boost tourism amid political tensions, while Sabre makes a major move into AI with the launch of agentic AI–ready APIs designed to power real-time shopping, booking, and servicing across flights, hotels, and post-booking services.Are you new and want to start your own hospitality business?Join our ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Facebook group⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Follow Boostly and join the discussion:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠YouTube⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠LinkedIn⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Facebook⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Want to know more about us? Visit our ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠website⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Stay informed and ahead of the curve with the latest insights and analysis.

Apple's back to talk about the 26 release cycle, new APIs and plenty of great work that we can get excited about.  Hosts: Tom Bridge - @tbridge@theinternet.social Marcus Ransom - @marcusransom Selina Ali - LinkedIn Guests: Jeremy Butcher - LinkedIn Links: https://developer.apple.com/documentation/devicemanagement/migrating-managed-devices Swift Connect https://swiftconnect.io/ Sponsors: Kandji 1Password Material Security Meter Watchman Monitoring If you're interested in sponsoring the Mac Admins Podcast, please email podcast@macadmins.org for more information. Get the latest about the Mac Admins Podcast, follow us on Twitter! We're @MacAdmPodcast! The Mac Admins Podcast has launched a Patreon Campaign! Our named patrons this month include Weldon Dodd, Damien Barrett, Justin Holt, Chad Swarthout, William Smith, Stephen Weinstein, Seb Nash, Dan McLaughlin, Joe Sfarra, Nate Cinal, Jon Brown, Dan Barker, Tim Perfitt, Ashley MacKinlay, Tobias Linder Philippe Daoust, AJ Potrebka, Adam Burg, & Hamlin Krewson  

Send us a textThe gap between cloud-native and traditional networking has never been more evident. As organizations struggle with hybrid environments, finding a unified management strategy feels like searching for the mythical "one ring to rule them all."In this thought-provoking episode, we welcome Eric Chou, author, instructor, and podcast host with over a decade of experience at AWS and Azure. Eric brings a rare insider perspective on how hyperscalers approach networking fundamentally differently than traditional vendors.We explore why cloud providers built their infrastructure API-first from day one, while traditional networking vendors had to retrofit APIs onto existing hardware. This architectural distinction creates significant challenges when trying to manage both environments cohesively. Eric explains why cloud tools excel at declarative configurations while traditional networking tools often take a more procedural approach, and when each might be appropriate for your organization.The conversation takes a fascinating turn when we discuss how AI is reshaping network engineering. Are we headed toward a dangerous knowledge gap as junior engineers rely on AI without developing foundational skills? Eric advocates for an "enhance, not replace" philosophy that values human expertise while leveraging AI as a productivity multiplier. We debate whether simulation can ever truly replace the hard-earned lessons of 3 AM network outages.Whether you're managing a hybrid network environment or wondering how to prepare for an AI-driven future, this episode offers practical insights and a surprisingly optimistic outlook on the future of networking. Listen now to understand how bridging the gap between cloud and on-premises networking might be less about finding a universal tool and more about developing the right mindset and approach.Connect with Eric:Network Automation Nerds Podcast: https://packetpushers.net/podcast/network-automation-nerds/ Amazon Author Page: https://www.amazon.com/author/ericchouLinkedIn: https://www.linkedin.com/in/choueric/ Network Automation Nerds Website: https://networkautomationnerds.com/ Purchase Chris and Tim's new book on AWS Cloud Networking: https://www.amazon.com/Certified-Advanced-Networking-Certification-certification/dp/1835080839/ Check out the Monthly Cloud Networking Newshttps://docs.google.com/document/d/1fkBWCGwXDUX9OfZ9_MvSVup8tJJzJeqrauaE6VPT2b0/Visit our website and subscribe: https://www.cables2clouds.com/Follow us on BlueSky: https://bsky.app/profile/cables2clouds.comFollow us on YouTube: https://www.youtube.com/@cables2clouds/Follow us on TikTok: https://www.tiktok.com/@cables2cloudsMerch Store: https://store.cables2clouds.com/Join the Discord Study group: https://artofneteng.com/iaatj

“It's a $50 billion market—but it can only be captured with diligence, the right hardware stack, and the right partners,” says Tina Telson, Founder & CEO of SouthLight Services. At Navigate 25, Telson joined Jake Jacoby, Founder & CEO of TELCLOUD, in conversation with Doug Green, Publisher of Technology Reseller News, to discuss how their partnership is helping enterprises and service providers address the urgent challenge of replacing legacy POTS lines. SouthLight, a voice-focused boutique MSP founded in 2024, has made POTS replacement a core service, backed by TELCLOUD's flexible backend platform. The collaboration allows SouthLight to deliver code-compliant, monitored, and future-proofed alternatives for fire alarms, elevators, and other mandated life-safety systems. Telson emphasized the ground-level realities of the opportunity: “Replacing these lines is not easy. It takes preparedness in order to be successful. You can't just slam something on a wall and hope that it works—you have to plan for it.” Jacoby agreed, highlighting that TELCLOUD's role is to empower resellers like SouthLight: “We built this platform for partnerships. Resellers bring the expertise and customer relationships. We deliver the engine behind the scenes.” The pair also pointed to the nuances of compliance—passing fire marshal inspections, ensuring 24-hour battery backup, and integrating with platforms like Alianza and Metaswitch through APIs. Their joint approach reduces risks for customers while enabling MSPs to scale into a multi-billion-dollar opportunity without cutting corners. For more information, visit southlightservices.com and telcloud.com.

Welcome to episode 323 of The Cloud Pod, where the forecast is always cloudy! Justin, Matt and Ryan are in the studio tonight to bring you all the latest in cloud and AI news! This week we have a close call from Entra, some DeepSeek news, Firestore, and even an acquisition! Make sure to stay tuned for the aftershow – and Matt obviously falling asleep on the job. Let's get started!  Titles we almost went with this week When One Key Opens Every Door: Microsoft's Close Call with Cloud Catastrophe Bedrock Goes Qwen-tum: Alibaba's Models Join the AWS Party DeepSeek and You Shall Find V3.1 in Bedrock GPUs of Unusual Size? I Don't Think They Exist (Narrator: They Do) Kubernetes Without the Kubernightmares Firestore and Forget: AI Takes the Wheel SCPs Get Their Full License: IAM Language Edition Do What I Meant, Not What I Prompted Atlassian Pays a Billion to DX the Developer Experience Entra at Your Own Risk: The Azure Identity Crisis That Almost Was Oracle Intelligence: The AI Nobody Asked For Wisconsin Gets Cheesy with AI: Microsoft’s Dairy State Datacenter  Azure Opens the Data Floodgates (But Only in Europe) PostgreSQL Gets a Security Blanket and Won’t Share Its TEEs Microsoft’s New Cooling System Has Veins Like a Leaf and Runs Hotter Than Your Gaming PC Azure Gets Cold Feet About Hot Chips, Decides to Go With the Flow AI Is Going Great – Or How ML Makes Money  00:58 Google and Kaggle launch AI Agents Intensive course Google and Kaggle are launching a 5-day intensive course on AI agents from November 10-14.  This follows their GenAI course that attracted 280,000 learners, with curriculum covering agent architectures, tools, memory systems, and production deployment. The course focuses on building autonomous AI agents and multi-agent systems, which represents a shift from traditional single-model AI to systems that can independently perform tasks, make decisions, and interact with tools and APIs. This development signals growing enterprise interest in AI agents for cloud environments, where autonomous systems can manage infrastructure, optimize resources, and handle complex workflows without constant human intervention. The hands-on approach includes codelabs and a capstone project, indicating Google’s push to democratize agent development skills as businesses increasingly need engineers who can build production-ready autonomous systems. The timing aligns with major cloud providers racing to offer agent-based services, as AI agents become essential for automating cloud operations, customer service, and business processes at scale. Interested in registering? You can do that here.  Cloud Tools  03:21 Atlassian acquires DX, a developer productivity platform, for $1B

Craig Jeffery talks with Steven Peterson of Chick-fil-A about their journey from RPA to APIs to agent-based AI. They discuss use cases in bank connectivity, forecasting, and document summarization, as well as the progression from bots to orchestration. How does a lean treasury team innovate at scale? Listen in to hear how curiosity and strategy are driving real transformation.

Today we are talking about Tugboat, What it does, and how it can super charge your ci/cd process with guest James Sansbury. We'll also cover ShURLy as our module of the week. For show notes visit: https://www.talkingDrupal.com/521 Topics Celebrating 20 Years with Drupal Introduction to Tugboat Comparing Tugboat with Other Solutions Tugboat's Unique Advantages Standardizing Workflows with Tugboat Handling Hosting and Development Delays Troubleshooting and Knowledge Transfer Client Base and Use Cases Agency Partnerships and Payment Structures Unique and Interesting Use Cases Challenges and Limitations of Tugboat Setting Up and Onboarding with Tugboat The Tugboat Origin Story Compliance and Security Considerations Resources Tugboat Tugboat FEDRamp Lullabot Sells Tugboat Platform to Enable Independent Growth Shurly Talking Drupal #390 - Employee Owned Companies Hosts Nic Laflin - nLighteneddevelopment.com nicxvan John Picozzi - epam.com johnpicozzi James Sansbury - tugboatqa.com q0rban MOTW Correspondent Martin Anderson-Clutz - mandclu.com mandclu Brief description: Have you ever wanted to use Drupal as a URL shortening service? There's a module for that. Module name/project name: ShURLy Brief history How old: created in Aug 2010 by Jeff Robbins (jjeff) though recent releases are by João Ventura (jcnventura) of Portugal Versions available: 8.x-1.0-beta4 which supports Drupal 9.3, 10, and 11 Maintainership Minimally maintained, maintenance fixes only. Also, the project page says that the 8.x branch is not ready for production use. So a big caveat emptor if you decide to try it Number of open issues: 18 open issues, 5 of which are bugs against the current branch Usage stats: 730 sites Module features and usage With the ShURLly module installed, you can specify a long URL you want shortened, optionally also providing a case-sensitive short URL you want to use. If none is provided a short URL will be automatically generated The module provides usage data for the short URLs, and and a user you can see a list the ones you've created as well as their click data I was a little surprised to see that created short URLs are stored in a custom db table instead of as entities, but the module is able to avoid a full bootstrap of Drupal before issuing the intended redirects The module provides blocks for creating short URLs, a bookmarklet to save a short URL, and URL history. There is also Views integration for listing the short URLs, by user or in whatever way will be useful in your site There is also a submodule to provide web services for generating short URLs, or potentially expand a short URL back into its long form. The services support output as text, JSON, JSONP, XML, or PHP serialized array The module allows provides a variety of permissions to allow fine-grained access to the capabilities it provides, and also has features like per-role rate limiting, APIs to alter redirection logic, and support for the Google Safe Browsing API, and Google Analytics It's worth mentioned that ShURLy is intended to run in a site on its own instead of within a Drupal site that is also serving content directly, but it will attempt to avoid collisions with existing site paths Today's guest, James, is one of the maintainers of ShURLy, but Nic, you mentioned before the show that you have a customer using this module. What can you tell us about the customer's use case and your experience working with ShURLy?

✅ AI in accounting is transforming how professionals run their businesses—and in this episode, Enzo Garza shares exactly how to automate your business and build scalable systems that grow with you.Whether you're a doctor, dentist, lawyer, or engineer, this conversation is packed with real-world solutions for those overwhelmed by manual tasks, inefficient processes, or financial bottlenecks. Enzo, founder of Accounting Pro, reveals how to build leaner, smarter, and more future-ready operations using tools like Xero, Scribe, Loom, and Notion.

Michael Nicosia is the Co-founder and COO of Salt Security, a company that protects APIs from threats using cloud-scale big data, AI, and ML. Under his leadership, Salt has raised $271 million, reached a $1.4 billion valuation, and has become a leader in API security with patented AI technology and Fortune 500/Global 1000 clients. With over 20 years of experience in enterprise software sales and marketing, Michael helped lead Adallom as COO from its founding to its $327 million acquisition by Microsoft. In this episode… APIs power nearly every modern digital service, yet most companies remain unaware of just how vulnerable these connections can be to breaches. With AI agents, MCP protocols, and microservices expanding rapidly, how do you ensure that sensitive data isn't leaking through unseen cracks in your API infrastructure? Michael Nicosia, a serial entrepreneur and technology executive, shares how he took the leap from corporate roles to building a platform that safeguards APIs. He describes starting with only an idea, refining it through Y Combinator, and securing early validation from security leaders. Along the way, Michael emphasizes the importance of focusing on customer outcomes, building the right team, and persevering through uncertainty. His journey shows that protecting digital services isn't just about software — it's about resilience, trust, and staying ahead of attackers. In this episode of the Inspired Insider Podcast, Dr. Jeremy Weisz interviews Michael Nicosia, COO and Co-founder of Salt Security, about scaling cybersecurity solutions for the modern digital world. Michael discusses lessons from Y Combinator, navigating the fundraising journey, and securing enterprise clients. He also shares insights on pricing models, hiring top talent, and the role of mentorship in building a lasting company.

Topics covered in this episode: * Mozilla's Lifeline is Safe After Judge's Google Antitrust Ruling* * troml - suggests or fills in trove classifiers for your projects* * pqrs: Command line tool for inspecting Parquet files* * Testing for Python 3.14* Extras Joke Watch on YouTube About the show Sponsored by us! Support our work through: Our courses at Talk Python Training The Complete pytest Course Patreon Supporters Connect with the hosts Michael: @mkennedy@fosstodon.org / @mkennedy.codes (bsky) Brian: @brianokken@fosstodon.org / @brianokken.bsky.social Show: @pythonbytes@fosstodon.org / @pythonbytes.fm (bsky) Join us on YouTube at pythonbytes.fm/live to be part of the audience. Usually Monday at 10am PT. Older video versions available there too. Finally, if you want an artisanal, hand-crafted digest of every week of the show notes in email form? Add your name and email to our friends of the show list, we'll never share it. Michael #1: Mozilla's Lifeline is Safe After Judge's Google Antitrust Ruling A judge lets Google keep paying Mozilla to make Google the default search engine but only if those deals aren't exclusive. More than 85% of Mozilla's revenue comes from Google search payments. The ruling forbids Google from making exclusive contracts for Search, Chrome, Google Assistant, or Gemini, and forces data sharing and search syndication so rivals get a fighting chance. Brian #2: troml - suggests or fills in trove classifiers for your projects Adam Hill This is super cool and so welcome. Trove Classifiers are things like Programming Language :: Python :: 3.14 that allow for some fun stuff to show up in PyPI, like the versions you support, etc. Note that just saying you require 3.9+ doesn't tell the user that you've actually tested stuff on 3.14. I like to keep Trove Classifiers around for this reason. Also, License classifier is deprecated, and if you include it, it shows up in two places, in Meta, and in the Classifiers section. Probably good to only have one place. So I'm going to be removing it from classifiers for my projects. One problem, classifier text has to be an exact match to something in the classifier list, so we usually recommend copy/pasting from that list. But no longer! Just use troml! It just fills it in for you (if you run troml suggest --fix). How totally awesome is that! I tried it on pytest-check, and it was mostly right. It suggested me adding 3.15, which I haven't tested yet, so I'm not ready to add that just yet. :) BTW, I talked with Brett Cannon about classifiers back in ‘23 if you want some more in depth info on trove classifiers. Michael #3: pqrs: Command line tool for inspecting Parquet files pqrs is a command line tool for inspecting Parquet files This is a replacement for the parquet-tools utility written in Rust Built using the Rust implementation of Parquet and Arrow pqrs roughly means "parquet-tools in rust" Why Parquet? Size A 200 MB CSV will usually shrink to somewhere between about 20-100 MB as Parquet depending on the data and compression. Loading a Parquet file is typically several times faster than parsing CSV, often 2x-10x faster for a full-file load and much faster when you only read some columns. Speed Full-file load into pandas: Parquet with pyarrow/fastparquet is usually 2x–10x faster than reading CSV with pandas because CSV parsing is CPU intensive (text tokenizing, dtype inference). Example: if read_csv is 10 seconds, read_parquet might be ~1–5 seconds depending on CPU and codec. Column subset: Parquet is much faster if you only need some columns — often 5x–50x faster because it reads only those column chunks. Predicate pushdown & row groups: When using dataset APIs (pyarrow.dataset) you can push filters to skip row groups, reducing I/O dramatically for selective queries. Memory usage: Parquet avoids temporary string buffers and repeated parsing, so peak memory and temporary allocations are often lower. Brian #4: Testing for Python 3.14 Python 3.14 is just around the corner, with a final release scheduled for October. What's new in Python 3.14 Python 3.14 release schedule Adding 3.14 to your CI tests in GitHub Actions Add “3.14” and optionally “3.14t” for freethreaded Add the line allow-prereleases: true I got stuck on this, and asked folks on Mastdon and Bluesky A couple folks suggested the allow-prereleases: true step. Thank you! Ed Rogers also suggested Hugo's article Free-threaded Python on GitHub Actions, which I had read and forgot about. Thanks Ed! And thanks Hugo! Extras Brian: dj-toml-settings : Load Django settings from a TOML file. - Another cool project from Adam Hill LidAngleSensor for Mac - from Sam Henri Gold, with examples of creaky door and theramin Listener Bryan Weber found a Python version via Changelog, pybooklid, from tcsenpai Grab PyBay Michael: Ready prek go! by Hugo van Kemenade Joke: Console Devs Can't Find a Date