Podcasts about Apis

Send us a textSecurity gets sharper when we stop treating AI like magic and start treating it like an untrusted user. We sit down with Eric Galinkin to unpack the real-world ways red teams and defenders are using language models today, where they fall apart, and how to build guardrails that hold up under pressure. From MCP servers that look a lot like ordinary APIs to the messy truths of model hallucination, this conversation trades buzzwords for practical patterns you can apply right now.Eric shares takeaways from Offensive AI Con: how models help triage code and surface likely bug classes, why decomposed workflows beat “find all vulns” prompts, and what happens when toy benchmarks meet stubborn, real binaries. We explore reinforcement learning environments as a scalable way to train security behaviors without leaking sensitive data, and we grapple with the uncomfortable reality that jailbreaks aren't going away—so output validation, sandboxing, and principled boundaries must do the heavy lifting.We also dig into Garak, the open-source system security scanner that targets LLM-integrated apps where it hurts: prompted cross-site scripting, template injection in Jinja, and OS command execution. By mapping findings to CWE, Garak turns vague model “misbehavior” into concrete fixes tied to known controls. Along the way, we compare GPT, Claude, and Grok, talk through verification habits to counter confident nonsense, and zoom out on careers: cultivate niche depth, stay broadly literate, and keep your skepticism calibrated. If you've ever wondered how to harness AI without handing it the keys to prod, this one's for you.Enjoyed the episode? Follow, share with a teammate, and leave a quick review so more builders and defenders can find the show.Inspiring Tech Leaders - The Technology PodcastInterviews with Tech Leaders and insights on the latest emerging technology trends.Listen on: Apple Podcasts SpotifySupport the showFollow the Podcast on Social Media! Tesla Referral Code: https://ts.la/joseph675128 YouTube: https://www.youtube.com/@securityunfilteredpodcast Instagram: https://www.instagram.com/secunfpodcast/Twitter: https://twitter.com/SecUnfPodcast Affiliates➡️ OffGrid Faraday Bags: https://offgrid.co/?ref=gabzvajh➡️ OffGrid Coupon Code: JOE➡️ Unplugged Phone: https://unplugged.com/Unplugged's UP Phone - The performance you expect, with the privacy you deserve. Meet the alternative. Use Code UNFILTERED at checkout*See terms and conditions at affiliated webpages. Offers are subject to change. These are affiliated/paid promotions.

Alex Sloley: How to Coach POs Who Treat Developers Like Mindless Robots In this episode, we refer to the previous episodes with David Marquet, author of Turn the Ship Around! The Great Product Owner: Trust and the Sprint Review That Changes Everything Read the full Show Notes and search through the world's largest audio library on Agile and Scrum directly on the Scrum Master Toolbox Podcast website: http://bit.ly/SMTP_ShowNotes. "She was like, oh my gosh, I've never seen this before, I didn't think it was possible. I just saw you deliver stuff in 2 weeks that I can actually use." - Alex Sloley In 2011, Alex worked with a client organization creating software for external companies. They needed a Product Owner for a new Agile team, and a representative from the client—who had never experienced Scrum—volunteered for the role. She was initially skeptical, having never witnessed or heard of this approach. Alex gently coached her through the process, asking her to trust the team and be patient. Then came the first Sprint Review, and everything changed. For the first time in her career, she saw working product delivered in just two weeks that she could actually touch, see, and use. Her head exploded with possibility. Even though it didn't have everything and wasn't perfect, it was remarkably good. That moment flipped a switch—she became fully engaged and transformed into a champion for Agile adoption, not just for the team but for the entire company. Alex reflects that she embodied all five Scrum values: focus (trusting the team's capacity), commitment (attending and engaging in all events), openness (giving the new approach a chance), respect (giving the team space to succeed), and courage (championing an unfamiliar process). The breakthrough wasn't about product ownership techniques—it was about creating an experience that reinforced Scrum values, allowing her to see the potential of a bright new future. Self-reflection Question: What practices, techniques, or processes can you implement that will naturally and automatically build the five Scrum values in your Product Owner? The Bad Product Owner: When Control Becomes Domination Read the full Show Notes and search through the world's largest audio library on Agile and Scrum directly on the Scrum Master Toolbox Podcast website: http://bit.ly/SMTP_ShowNotes. "They basically just owned the team. The developers on the team might as well have been mindless robots, because they were being assigned all the work, told how much work they could do in a sprint, what the work was." - Alex Sloley In 2018, while working with five interconnected Product Owners, Alex observed a Sprint Planning session that revealed a severe anti-pattern. One Product Owner completely controlled everything, telling the team exactly what work they would take into the Sprint, assigning specific work to specific people by name, and dictating precisely how they would implement solutions down to technical details like which functions and APIs to use. The developers were reduced to helpless executors with no autonomy, while the Scrum Master sat powerless in the corner. Alex wondered what caused this dynamic—was the PO a former project manager? Had the team broken trust in the past? What emotional baggage or trauma led to this situation? His approach started with building trust through coffee meetings and informal conversations, crucially viewing the PO not as the problem but as someone facing their own impediment. He reframed the challenge as solving the Product Owner's problem rather than fixing the Product Owner. When he asked, "Why do you have to do all this? Can't you trust the team?" and suggested the PO could relax if they delegated, the response was surprisingly positive. The PO was willing to step back once given permission and assurance. Alex's key lesson: think strategically about how to build trust and who needs to build trust with whom. Sometimes the person who appears to be creating problems is actually struggling under their own burden. Self-reflection Question: When you encounter a controlling Product Owner, do you approach the situation as "fixing" the PO or as "solving the PO's problem"? How might this reframe change your coaching strategy? [The Scrum Master Toolbox Podcast Recommends]

In this episode, we dive into three key Cloud Workload Protection Platform (CWPP) offerings within Microsoft Defender for Cloud: Defender for Resource Manager, Defender for Key Vault, and Defender for APIs. Our Q&A format explores how these tools safeguard Azure environments against sophisticated threats, from management layer exploits to API vulnerabilities. Key Takeaways: Defender for Resource Manager monitors and protects against suspicious operations in Azure's management layer. Defender for Key Vault adds native threat protection to detect anomalous access to secrets and credentials. Defender for APIs provides full lifecycle security for APIs in Azure API Management, including inventory, posture recommendations, and runtime threat detection. These plans integrate seamlessly into Defender for Cloud's broader CNAPP framework for multi-cloud and hybrid protection. What did you think of this episode? Give us some feedback via our contact form, Or leave us a voice message in the bottom right corner of our site.Read transcript

On September 30th, ServiceNow's AI Experience launched, and with it came one of the most transformative new features: Web Agents! On this week's episode of Break Point, Lauren McManamon was joined by returning guest, Jingfei Chen, to unveil how Web Agents automate tasks by navigating browser UIs like a human. Learn how this catch-all agent works, where it fits alongside APIs and RPA, and why it’s set to change how developers approach automation. ⏱️ Timestamps 00:00 Introduction 02:37 What ARE ServiceNow Web Agents? 07:09 So, Web Agents Are Not ONLY Accessible Through Chat? 09:41 How Are Web Agents Similar/Different From RPA? 12:25 What Are Some Cornerstone Use Cases for Web Agents? 17:19 What Are the V1 Capabilities / Limitations of Web Agents? 18:47 What Are Web Agent Best Practices? 22:18 Where Can People Try Out Web Agents? 23:55 What’s On the Roadmap for Web Agents? *SAFE HARBOR* 27:01 How Have Priorities Changed to Meet Market Expectations? 29:50 What Are Initial Customer Thoughts on Web Agents? 31:11 Where Can People Provide Feedback on Web Agents? 32:02 Call to Action 33:57 Conclusion

In this episode of Talk Commerce recorded live from Ecom Forum in Minneapolis, host Brent Peterson sits down with Sharon Gee, Senior Vice President of Product at Commerce, to discuss how artificial intelligence and agentic commerce are reshaping ecommerce. Sharon oversees AI offerings across BigCommerce, Feedonomics, and Makeswift, bringing insights on how merchants can adapt to a world where AI agents shop alongside humans.Key TakeawaysData has become the new storefront as consumers increasingly turn to answer engines rather than traditional searchMerchants need to provide structured, contextual data to AI agents, not just visually appealing websites for human shoppersChatGPT reached 100 million users faster than any consumer technology in historyProduct data must exist on multiple levels, from basic ad information to unstructured content in PDFs and reviewsB2B commerce stands to benefit significantly from AI-powered sales assistantsNew trust protocols are being established to manage transactions between shoppers, agents, merchants, and merchant agentsAI democratizes marketing tools, allowing creative thinkers to execute ideas without engineering expertiseEpisode SummarySharon begins by explaining her role at Commerce and immediately addresses the most significant shift in ecommerce: the rise of agentic commerce. For decades, professionals optimized data for advertising channels, working to improve conversion rates between two and five percent. Now consumers turn to answer engines with complex queries like finding a dress for a wedding in Italy in a specific color and size, delivered by tomorrow."Somebody came along and bopped the board game and now we get to reset all the pieces," Sharon explains. This shift requires merchants to recognize that data has become the new storefront. Answer engines need deep context to respond to long-form queries, making product discoverability critical wherever shoppers are looking.Sharon introduces a framework for data levels. Level one includes basic information for Google ads. Level two encompasses marketplace data. Level three consists of product specifications in PIM systems. Levels four and five venture into unstructured data, including PDFs and user reviews. This creates what she calls a bifurcated experience—merchants need different versions of their sites for AI agents versus human visitors.When asked whether sites might become pure APIs, Sharon argues for both approaches. Brand sites remain channels merchants control, but on third-party agentic channels, merchants only control the data they provide. This makes data investment critical for visibility.Sharon sees massive potential in B2B sales assistants trained on documentation that human sales reps use. If three-quarters of the sales cycle could progress overnight, reps could focus on high-touch human interactions. B2B companies have advantages because they're manufacturers with deep data, extensive documentation, and sophisticated pricing structures.Addressing concerns about AI reliability, Sharon explains that commerce platforms and partners are collaborating on protocols. "You've seen more open protocols released in the past six months than like the previous 10 years combined," she notes. Companies recognize that trust becomes paramount when authorizing agents to shop on behalf of consumers. Transactions now involve four parties: a shopper, a shopper agent, a merchant, and a merchant agent.Sharon emphasizes AI's role as a growth enabler rather than just a cost-reduction tool. Merchants could rewrite entire product catalogs with a button click using generative AI. AI provides jet fuel for existing teams, unlocking capabilities never before possible. "I would love it if our generation is the last one to use a mouse and a keyboard," Sharon declares.Brent adds that AI's greatest value might be identifying what merchants aren't doing rather than what they should be doing. Sharon confirms that Commerce customers use tools to define simulated personas and understand what queries those personas might ask, then determine what content they need to ensure their products get referenced instead of competitors' products.Episode Timestamps[00:00] - Introduction and Sharon's role at Commerce[01:00] - How agentic commerce is changing the game[02:30] - The shift from traditional SEO to AI-driven discovery[04:00] - Why data is the new storefront[06:00] - The five levels of product data[08:00] - Creating different experiences for agents vs humans[10:00] - The bifurcated website experience[12:00] - Why B2B commerce will benefit from AI agents[14:00] - Building trust protocols for agentic transactions[16:00] - AI as a growth enabler vs cost reducer[18:00] - Rewriting catalogs with generative AI[20:00] - Finding gaps in content strategy with AI[21:00] - Final thoughts on Ecom Forum and the human element

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 WP Tavern, Seth Rubenstein from Pew Research Center talks with host Nathan Wrigley about advanced WordPress development, focusing on block composability in Gutenberg. Seth explains how new APIs, Block Bindings, Block Bits, and the Interactivity API, are making WordPress more powerful, enabling developers and editors to build dynamic web applications, like complex quizzes, directly in the block editor. They discuss the potential for easier UI interfaces and the promising future of WordPress as a flexible platform for interactive content, while touching on performance improvements and upcoming needs like responsive blocks. Whether you're a developer curious about the future of Gutenberg or an editor dreaming of more drag-and-drop web app power, this episode is for you.

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

In our latest episode, we sit down with Ken Hui, Field Solutions Architect, to discuss his journey at Pure Storage and the evolving landscape of data management. Ken shares his unique perspective on Pure Storage's culture, highlighting the emphasis on collaboration and innovation. The conversation delves into the critical role of unstructured data in today's AI-driven world, exploring how enterprises can strategically manage and protect their ever-growing data assets without falling prey to common pitfalls. Ken, a seasoned veteran in the storage and cloud space, offers valuable advice on approaching new technologies, stressing the importance of starting with the desired end-state and aligning technology with people and processes. He also revisits his early career frustrations with file storage, explaining how Pure Storage's advancements, particularly with FlashBlade and FlashArray, have transformed the experience, making data management simpler and more efficient. The discussion touches on the power of continuous innovation, self-service upgrades, and the multi-tenancy capabilities that empower customers. Our episode concludes with Ken's "hot take" on industry trends, where he champions object storage as a scalable solution for large-scale data workloads, especially in the AI and analytics space. He also shares a memorable "oops" moment from his career and offers crucial advice for IT professionals: learn programming to effectively leverage automation and APIs in the future of data management. Check out the new Pure Storage digital customer community to join the conversation with peers and Pure experts: https://purecommunity.purestorage.com/

Healthcare costs keep climbing while employees want plans that actually fit their doctors, budgets, and lives. We tackle that tension head-on with Chad Schneider, head of broker channel at Thatch, and unpack how ICHRAs—individual coverage HRAs—let employers lock in predictable budgets while giving every employee real choice on the individual market.We start by demystifying ICHRAs and why 2024 became the breakout year: broader carrier participation, stronger individual risk pools, and better technology. Chad breaks down the biggest barriers leaders worry about—change management, compliance, billing across multiple carriers and states—and shares how infrastructure-first platforms handle the messy “money movement” behind the scenes. From clean decision support that feels like booking travel to licensed, state-specific experts for complex cases, we show how employees can navigate dozens of plans with clarity and confidence.Then we get tactical. You'll hear how to design contribution strategies that create equity across age and geography, using dynamic benchmarks instead of blunt flat-dollar allowances. We explore the 11 ICHRA classes for smart carve-outs, the role of voluntary and high-impact perks, and how newer carriers are pushing legacy players to improve networks and benefits. On data, we explain what you can measure without claims visibility—engagement, satisfaction, enrollment completion—and how emerging APIs make application tracking and digital ID cards standard rather than speculative.Looking ahead three to five years, Chad forecasts tighter integrations, more transparent pricing, and perks once reserved for large groups becoming available to small employers. The result is a practical blueprint: cap volatility, expand choice, and elevate the broker's role from renewal jockey to program architect. If you're ready to rethink the benefits playbook and give your team plans that fit their lives, this conversation lays out the steps and the pitfalls to avoid.Enjoyed the conversation? Follow the show, share it with a colleague, and leave a quick review to help more leaders discover smarter benefits strategies.This episode is sponsored by Benepower, the platform of choice for a modern benefits experience. Benepower is an AI-powered benefits platform offering access to top products and services, enabling consultants and employers to create customized plans, optimize usage, and measure effectiveness. www.benepower.com

Au Menu:Séries Télé : Inspirez expirez (Crave), Hotel Costiera (Amazon Prime), Mercredi (Netflix).Sujets Techno : HDMI sans fil, Casa OS, Bambu Lab P1S + AMS et Microsoft brise des APIs dans sa dernière mise à jour.

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/

Wil sits down in-person with Tim McLaughlin, technologist-turned-operator who founded GoTab after opening two Caboose breweries and confronting real service-model pain (giant spaces, staffing constraints). Years before COVID, Tim taped QRs to tables and proved guests will change behavior to avoid pain (lines), which pushed GoTab to build not just ordering but a deep KDS and, later, a POS when closed ecosystems (e.g., API roadblocks) blocked integrations. Today GoTab focuses on operations over payments, hybrid service (QR + handheld + kiosk), open integrations, and white-glove 24/7 support, while running lean and profitable (not “growth at any cost”). With Opsie for inventory/costing, expansion in higher-labor markets like Australia, and an operator-first pricing philosophy (inspired by Costco's cap idea), Tim argues tech should feel invisible, amplify hospitality, and never replace it.10 Takeaways Pain drives adoption: guests embraced QR ordering in 2018 at Caboose Commons to skip long lines—two years before COVID. Operations > payments: GoTab's edge is the KDS/factory-mindset—batching, throttling, inventory links—not just taking money. Hybrid service wins: seamlessly mix QR tabs, handheld orders, kiosks, and traditional POS—flip zones on/off in real time. Open…for real: GoTab publishes APIs and keeps integrations (even with competitors to Opsie) because operators need choice. Closed ecosystems cost you: API fees/blocks pushed GoTab to build its own POS so operators aren't held hostage. Service is strategy: 24/7 phone/text/chat, humans + AI, fast responses—because hospitality vendors must model hospitality. Lean and profitable: modest capital, disciplined hardware R&D, profitable growth > headline valuations. Inventory is the sleeper win: most independents skip it; Opsie aims for “no-effort” inventory & COGS visibility inside GoTab. Follow labor costs: higher-labor markets (e.g., Australia with double-time on holidays) adopt efficiency tech faster. Pricing with trust: exploring a Costco-style profit cap; focus on transparent value, not nickel-and-diming via fees.

On this episode of Streamlining Insurance, Darren Bloomfield sits down with Charles Merritt, CEO and co-founder of Buddy, an insurtech firm pioneering embedded insurance solutions. With their flagship ION™ engine, Buddy makes it easier than ever for businesses to integrate insurance directly into digital platforms. Charles shares his insights on how embedded insurance is reshaping customer experiences, the role of APIs in modernizing distribution, and what the next wave of innovation looks like in insurance technology. Whether you're an insurer, broker, or technologist, this conversation will spark ideas on how to unlock new channels and streamline operations in today's digital-first world. Focusing exclusively on risk management and insurance professional development, the Risk & Insurance Education Alliance provides a practical advantage at every career stage, positioning our participants and their clients for confidence and success.

Aaron Palermo is a Senior Solutions Architect, DevOps engineer, and all-around cybersecurity expert. He works for a global cybersecurity services company, Appgate. Aaron was last on the show in episode 196, sharing about Zero Trust Networking.   Topics of Discussion: [3:20] Aaron shares his excitement for learning new things and solving innovative challenges, which keep him engaged in the field. [3:30] Aaron explains his current role at Appgate, a zero-trust network access company. [4:25] The importance of direct-routed solutions for federal customers who want to own and manage their infrastructure. [6:27] Aaron recounts how he applied insights from previous ADP guests Scott Hunter, Burke Holland, and Greg Leonardo. [7:56] He explains the process of querying the Appgate API with natural language and the insights gained from the AI agent's code generation. [8:24] Testing an Integration in the Lab. [11:05] Jeffrey and Aaron discuss the benefits of using open-source tools and the flexibility of Proxmox for network testing. [14:47] VS Code and Copilot Integration, and what's next. [19:39] Aaron introduces n8n.io as a low or no-code automation platform that integrates with AI agents and APIs for workflow orchestration. [21:15] Integrating simple automation examples, such as weather-based watering systems and data-driven decisions without sensors. [28:09] OpenWRT's flexibility and customization. [30:01] What are some of the scenarios where a software-defined network might be the right tool? [33:26] Know what you want, and write from a purpose.   Mentioned in this Episode: Clear Measure Way Architect Forum Software Engineer Forum Ep 196 with Aaron Palermo n8n AppGate   Want to Learn More? Visit AzureDevOps.Show for show notes and additional episodes.

Max Schertel, Co-Founder & CEO, finmidWhat's next for embedded financing? Business platforms are already emerging as critical providers of capital for their SME clientele – customers who have been traditionally underserved when it comes to funding options. Now, the fastest growing platforms may well be making more money from embedded financial services than from their core business! Max Schertel of embedded finance provider finmid speaks to Robin Amlôt of IBS Intelligence about the business opportunity being created. 

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: 

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 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.

Before the advent of embedded screens in almost all vehicles there used to be accessories to help navigate and guide your trips and often it was a TomTom device. This episode features Vinod Poomalai the Product Marketing Leader for TomTom talking about how their location data is powering aspects of many insurance products and services.In this episode:How location data is driving underwriting decisionsWhat is contained in location data that is not readily apparentHow any insurance entity can connect with APIs for real-time processesWhy location data is helping with CAT events and loss reductionLearn how underwriting subjectivities are being developed using distinct attributesHow the volume of data sources is growing and what it will help in the futureUsing data is essential for insurance success, but powering your data with realtime connectivity and a growing pool of data sources will be absolutely necessary to compete and prosper int he future. Vinod and TomTom share the now and what's coming for the insurance industry with location data.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

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

OpenAI's Dev Day Highlights, Deloitte's Big AI Bet, and an AI-Discovered Antibiotic This episode of Hashtag Trending, hosted by Jim Love, delves into pivotal AI advancements. It covers OpenAI's Dev Day reveals, including the introduction of apps within ChatGPT, new features in their platform, and updates to their models and APIs. Deloitte's significant adoption of Anthropic's AI models and addressing an AI-related error are discussed. The episode also highlights a substantial OpenAI-AMD partnership impacting the stock market and responds to criticisms about AI's real-world value by showcasing AI's role in discovering a new antibiotic in record time. The episode wraps up with an acknowledgment of a mix-up in podcast episodes and a mention of Jim Love's new book, 'Elisa'. 00:00 Introduction and Headlines 00:33 OpenAI Dev Day Highlights 01:34 New Features in ChatGPT 02:29 Agent Kit and Developer Tools 04:52 Deloitte's Big AI Bet on Anthropic 08:07 OpenAI's Partnership with AMD 09:47 AI's Real-World Impact: New Antibiotic Discovery 12:17 Conclusion and Final Thoughts

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.

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

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.

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