Podcasts about Apis

Dans ce 138 ème épisode, je vous parle de ce qu'est un agent IA.C'est quoi un agent IA ?Un agent IA, c'est une intelligence artificielle autonome et proactive.Contrairement à un assistant qui répond à vos demandes, l'agent agit pour atteindre un objectif.Prenons un exemple concret :Avec un assistant IA, vous dites “écris-moi un email” ou “résume ce document”.Avec un agent IA, vous pouvez donner un objectif global : “obtiens-moi 10 leads qualifiés d'ici la fin du mois”.Et là, l'agent planifie les actions, collecte les données, segmente, envoie des emails, suit les résultats et ajuste sa stratégie.Bref, il devient votre collaborateur numérique.Les différences entre assistants et agents IALes assistants IA (comme ChatGPT, Gemini ou Copilot) restent réactifs : vous leur demandez, ils répondent.Ils n'ont pas d'autonomie ni d'accès direct à vos outils métier.Les agents IA, eux :sont autonomes ou semi-autonomes,peuvent se connecter à vos outils (CRM, base de données, agenda, etc.),et surtout, agir sans que vous interveniez à chaque étape.Ils peuvent par exemple :détecter des leads intéressés,les qualifier,les relancer,mettre à jour votre CRM,et même vous alerter lorsqu'un prospect répond.Un agent IA, c'est donc une combinaison d'intelligence, d'actions et de connectivité.Mais attention : l'automatisation (comme sur Zapier ou Make) n'est pas un agent IA.Elle suit des règles fixes, sans boucle de réflexion ni adaptation.Un agent IA, lui, raisonne, s'adapte et apprend. Les connecteurs : la clé pour les faire fonctionnerPour qu'un agent IA soit utile, il faut le connecter à votre stack d'outils.Deux plateformes se démarquent : n8nUne solution open-source et low-code.Elle offre des centaines de connecteurs : Google Sheets, Slack, CRM, APIs, etc.C'est l'idéal si vous souhaitez garder le contrôle ou héberger vos propres workflows. MakeUne plateforme no-code ultra accessible, orientée marketing et automatisation visuelle.Elle intègre plus de 3 000 apps et propose désormais les Make AI Agents :des workflows intelligents capables de comprendre vos objectifs en langage naturel et d'ajuster leurs actions en temps réel. Ensemble, ces outils transforment vos processus marketing :l'agent IA pense et planifie,le workflow exécute et connecte.C'est la nouvelle alliance entre intelligence et automatisation.Les limites et risques à anticiperLes agents IA ouvrent un potentiel énorme, mais tout n'est pas rose.Voici trois points de vigilance :1. Limites techniquesL'autonomie reste limitée : un agent mal configuré peut se tromper d'objectif ou d'action.Les modèles peuvent halluciner ou manquer de contexte.Trop d'intégrations peuvent créer des erreurs ou des chaînes d'automatisations cassées.2. Sécurité et conformitéSi votre agent agit sur des systèmes sensibles (CRM, données clients, finance), il doit respecter les règles : RGPD, chiffrement, gestion des accès, logs d'activité.Il faut prévoir des points de contrôle et des alertes pour éviter des actions indésirables (par exemple un email envoyé au mauvais segment…).3. Gouvernance et éthiqueVos collaborateurs et clients doivent savoir qu'ils interagissent avec un agent IA.Les biais peuvent se reproduire si l'IA n'est pas bien entraînée.Et surtout : l'agent IA ne remplace pas l'humain, il amplifie ses capacités.

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

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

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

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

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

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

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

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

In today's MadTech Daily, look at Netflix eyeing a Warner Bros. Discovery acquisition, the IAB unveiling a framework to standardise conversion APIs for CTV, and ABC and ESPN being pulled from YouTube TV ahead of their deal expiry.

AI that can actually help you build. I had a blast interviewing Vojta Tuma, Field CTO at Keboola, on The Ravit Show, we discussed AI assistants and MCP for data engineering!Here are a few key takeaways — • MCP turns a chatbot into a teammate. It can use tools, call APIs, and take actions. That is why it matters for engineers. • New workflows open up. You can sketch a pipeline in conversation, run a job, debug a failure, or trigger a transform from one place. • Safety is built in. Step by step permissions. Full logs. Reviews and approvals before changes go live. Propose a fix, dry run it, then merge. • The result is faster work without losing control. Less glue code. More time on the real problems.Let developers, analysts, and data engineers ship faster—AI handles the heavy lifting, Keboola keeps it reliable -- https://bit.ly/46Fkvt1Don't forget to follow Keboola!!!!#data #ai #keboola #mcp #theravitshow

Plataforma não é tela. É capacidade que libera novos negócios. No iFood, APIs viram peças de Lego para lançar produtos em dias. IA entra como infraestrutura de eficiência, com guardrails e revisão humana. PM de plataforma conecta domínios, dados e estratégia.O que você vai aprender: domínios bem definidos, ownership de dados, como medir impacto sem métrica de vaidade, limites práticos da automação, uso de agentes em dev, produto e vendas, e por que o PM de plataforma virou crítico no Brasil.Convidado: Diogo Ramos - Senior Software Engineering Manager no iFoodLinkedIn: https://www.linkedin.com/in/diogo-ramos-4624a725/Principais aprendizados:- Plataforma é capacidade, não jornada. Construa módulos genéricos que sirvam múltiplos produtos e BUs.- Comece por domínios bem definidos. Dados com ownership claro evitam duplicidade e garantem consistência.- Pense em Lego de APIs. Se um hackathon não consegue criar vários produtos só plugando APIs, falta maturidade de plataforma.- Evolua, não reescreva. Plataformas crescem com o negócio e suportam novas ofertas sem começar do zero.- Estratégia com horizontes. Squads olham semanas, gerências meses, diretorias anos. Todos cascateiam visão e protegem foco.- IA é eficiência embutida. Apoia devs, produto, operações e vendas. O cliente não precisa ver IA para sentir o ganho.- Qualidade primeiro. Agentes fazem code review, mas revisão humana continua. MRs pequenos e testes com regra de negócio importam.- Automação tem limite. Use agentes como primeira linha e faça handoff para humanos quando o contexto ficar complexo.- Dados e processos antes de IA. Sem governança e higiene, o modelo aprende lixo e entrega pouco valor.- Meça sem vaidade. Comprove impacto com métricas de negócio, testes e comparações justas, não só adoção de IA.- Maturidade depende do setor. Bancos têm restrições e cadência diferente de startups. Adapte o plano ao risco e à regulação.- PM de plataforma é crítico. Traduza estratégia em capacidades, orquestre domínios e priorize o que libera novos negócios rápido.- Cultura ajuda. Treinamento de prompts para a empresa toda acelera aprendizado e padroniza o uso responsável de IA.

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

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

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

professorjrod@gmail.comSecurity that actually holds under pressure starts long before passwords and antivirus. We pull back the rack door and walk through the parts that make a network resilient: switches that enforce port security, routers that block spoofed traffic, servers that stay patched and locked down, and load balancers that keep services steady when a node falls over. From a small bookstore's POS to a global bank's data center, the patterns repeat with higher stakes and tighter controls.We break down the real tools of infrastructure defense and why they matter. Policy‑based firewalls translate intent like “block social media for guests” into action, while next‑gen engines add deep inspection and URL filtering. Forward proxies protect outbound browsing and reverse proxies hide internal services. Deception tech—honeypots, honeynets, and sinkholes—turns attackers into sources of intel. IDS alerts, IPS blocks, and together they feed visibility into an XDR layer that correlates endpoint, server, cloud, and email signals to stop ransomware chains before they detonate.Good design contains failure. VLANs limit blast radius when a laptop is compromised. DMZs and jump servers separate public‑facing apps from sensitive systems. Zero trust reframes access with “never trust, always verify,” enforcing MFA, continuous checks, and least privilege across users and APIs. VPNs connect people and sites with SSL and IPsec, while NAC verifies device health and quarantines noncompliant endpoints—a must for any BYOD policy. We tie it all together with practical case studies, a quick quiz to test your instincts, and clear takeaways you can apply to classrooms, clinics, nonprofits, and clouds.If this deep dive helps you think more clearly about your network's weak points and how to shrink them, tap follow, share with a teammate, and leave a review so more builders can find it. What's the first segment you'll harden this week?Inspiring Tech Leaders - The Technology PodcastInterviews with Tech Leaders and insights on the latest emerging technology trends.Listen on: Apple Podcasts SpotifySupport the showArt By Sarah/DesmondMusic by Joakim KarudLittle chacha ProductionsJuan Rodriguez can be reached atTikTok @ProfessorJrodProfessorJRod@gmail.com@Prof_JRodInstagram ProfessorJRod

At the Crexendo UGM, Jeff Korn, CEO of Crexendo, spoke with Doug Green, Publisher of Technology Reseller News, about the company's record growth, customer-first philosophy, and expanding global capabilities. The conversation took place at the historic Fontainebleau Resort in Miami Beach — a fitting venue for a company celebrating both legacy and innovation. The event marked a major milestone as Crexendo approached (and soon after surpassed) seven million users, underscoring its status as one of the fastest-growing platform providers in the communications industry. “We're the fastest-growing platform provider in the country,” Korn said. “Our growth is driven by the best people, products, and service in the industry — bar none.” Korn attributes much of the company's success to its “sessions, not seats” pricing model, which allows partners to pay only for what is actually used — a flexibility especially valuable in large environments such as hospitality. “Our model provides real value,” he explained. “If your phones aren't in use, you're not paying for idle capacity. It's simple, fair, and efficient.” Beyond its pricing innovation, Crexendo continues to invest heavily in open APIs and its EVP program, a new company store where licensees and developers can access or offer third-party applications to customize and extend the NetSapiens platform. “We're giving our partners limitless possibilities to differentiate,” Korn said. “It's an ecosystem that keeps growing every year — just look at the number of vendors and integrations showcased here at the UGM.” Korn also highlighted the company's global expansion powered by its partnership with Oracle Cloud. “We can now turn up an instance in one or two days and meet data sovereignty requirements anywhere in the world,” he said. “That capability has already enabled us to serve customers in regions like Africa — and we're just getting started.” At the heart of Crexendo's success, Korn emphasized, is a commitment to service and community. “We are a company of service,” he said. “We listen, we act, and we care about every one of our licensees. Our success is built on their success.” To learn more about Crexendo's UCaaS and NetSapiens platform solutions, visit www.crexendo.com.

In an era when milliseconds define customer experience, having a reliable and flexible communication platform is no longer optional - it's essential. Communications Hub positions itself as a trusted partner for businesses that rely on real-time communication. We sat down with the CTO of Communications Hub, Bohdan Bulatsan, to talk about what makes the platform unique, how it ensures uninterrupted message delivery and why integration with new providers can be done up to 75% faster than the industry standard. Communications Hub Q: Communications Hub emphasizes real-time operations with automatic cascading. Could you explain how the cascading mechanism works and how it guarantees delivery even during routing issues or provider downtime? Our cascading mechanism is designed to ensure that no message ever gets lost. When the system detects any negative signal from the current provider - such as a blocked sender name, insufficient balance or a delivery issue - it automatically switches to the next available provider in the cascade. Administrators can configure multiple cascading levels in the platform. The more levels you set, the higher your delivery reliability becomes. Each level acts as a backup route, guaranteeing continuity even during provider downtime or unexpected routing failures. All message logs are recorded and displayed in a clear, user-friendly dashboard, allowing users to track delivery paths and troubleshoot in real time. Q: One of Communications Hub's strongest advantages is how quickly new providers can be integrated. How is that achieved from a technical perspective? We've developed a universal SDK that standardizes all core functions common to most provider APIs. This means our team doesn't have to start from scratch each time a new provider joins. We've also optimized the deployment process, allowing multiple adapters to be implemented simultaneously. Before any integration goes live, our pre-testing procedure identifies potential issues early, ensuring smoother performance from day one. Altogether, these improvements have reduced our onboarding time by up to 75% so what used to take 35-45 days can now be completed in about 10 days. Q: The platform collects advanced analytics directly from all providers. How does that process work and how does it give businesses full visibility over their communication flows? Our analytics service aggregates detailed depersonalised data from every message sent through the system. It collects metrics directly from connected providers and organizes them into meaningful insights for our users. Through the dashboard, clients can monitor every campaign, view delivery reports, analyze trends and see any real-time changes reflected instantly. This level of transparency empowers businesses to make informed decisions and fine-tune their communication strategies with confidence. Q: Communications Hub focuses on maintaining high delivery quality and preventing wasted messages. What technical mechanisms make that possible? We use a multi-layer verification system to make sure messages are sent only to real, active users. The first layer validates incoming numbers to confirm they follow the correct format and can potentially exist. The second layer prevents duplicate messages from being sent. The third, an optional HLR (Home Location Register) lookup, checks whether a number is currently active on the network. The first two levels run automatically by default, while HLR verification can be enabled when needed. This combination significantly reduces wasted traffic and improves delivery efficiency across all channels. Q: What would you say is Communications Hub's main mission today? Our mission is to simplify communication management. We help businesses integrate, manage, and optimize their communication channels in one place. Whether it's SMS or flash calls, we make it easy to connect with audiences reliably and intelligently. We want our clients to think less about technical barriers and ...

Send us a textQuantum threats aren't waiting politely on the horizon, and neither should we. We kick off with Signal's bold move to deploy post-quantum encryption, unpacking the “belt and suspenders” approach that blends classical cryptography with quantum-resistant algorithms. No jargon traps—just clear takeaways on why this matters for privacy, resilience, and the pressure it puts on other messaging platforms to evolve. We point you to smart reads from Ars Technica and Bruce Schneier that make the technical guts approachable and actionable.From there, we switch gears into a focused CISSP Domain 8 walkthrough: how to weave security into every phase of the software development lifecycle. We talk practical integration across waterfall, agile, and DevOps; show why change management, continuous monitoring, and application-aware incident response are non-negotiable; and explain how maturity models like CMMI and BSIMM help teams move from reactive to repeatable. We also break down the developer's toolbox—secure language choices, vetted libraries with SCA, hardened runtimes, and IDE plugins that surface issues in real time—so teams can ship faster without trading away safety.Speed meets rigor in the CI/CD pipeline, where shift-left security comes alive with SAST, DAST, and SOAR-driven checks. We cover repository hygiene, secret scanning, and how to measure effectiveness with audit trails and risk analysis that map code issues to business impact. You'll get a clear view of third-party risk across COTS and open source, the shared responsibility model for SaaS, PaaS, and IaaS, and the daily practices that keep APIs from leaking data: least privilege, strict authorization, input validation, and rate limiting. We close with software-defined security—policies as code—bringing consistency, versioning, and automation to your defenses. Subscribe, share with a teammate who owns your pipeline, and leave a review to tell us the next Domain 8 topic you want us to deep-dive.Gain exclusive access to 360 FREE CISSP Practice Questions at FreeCISSPQuestions.com and have them delivered directly to your inbox! Don't miss this valuable opportunity to strengthen your CISSP exam preparation and boost your chances of certification success. Join now and start your journey toward CISSP mastery today!

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

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

In this episode, we range from ice-cold mornings and sunny Colorado skies to a deep dive on home mining, heat reuse, open hardware, and sovereign home automation. We recap getting featured in Forbes on Heat Punk projects and how mainstream coverage is finally grokking mining-as-heat, Canon's heating-first designs, and Bitmain's market dominance risks. We share real-world progress: integrating Canaan home miners with Home Assistant via APIs and Node-RED, using Zigbee sensors for room-aware thermostatic control, solar and TOU-aware automations, and the vision for a sovereign “miner control hub” box built on Raspberry Pi 5. We get nerdy on RISC‑V vs ARM, open firmware, and the Libre Board + Mujina roadmap, with detours through customs-destroyed SMD parts, packaging HydroPool for Docker, and the power of public, self-hosted pools after a solo-Block win with a NerdQAX. We also cover privacy and the surveillance creep: doorbells, cars, app signing, and why self-hosted tools (Pi-hole, PFsense, Mullvad, Signal, Proton/Tutanota) matter. We discuss HPC pivots by large miners, grid vs. heat-reuse economics, Canaan's momentum in home heating, and the imminent Telehash on HydroPool with StartOS packaging on deck. Plus, the Stealth Miner enclosure, Bitaxe-powered heat projects, and shoutouts to the open-source crew making sovereignty practical at home, one sensor, miner, and Docker container at a time.

Join Pure Storage Technical Evangelists Don Poorman and Mike Nelson as we dive into Pure Fusion and how Pure Storage is enabling users to focus less on managing storage and more on managing their data. We start by examining the complexities of managing storage and application workloads in today's rapidly evolving IT landscape. We expose the challenges posed by legacy vendor "portfolios" which often consist of disparate products lacking unified GUIs and APIs. Learn why a fundamental shift is necessary to eliminate silos in enterprise storage, moving beyond mere federation to true integration – a unified management plane with common APIs that seamlessly operate across the entire storage ecosystem. Poorman and Nelson underscore how this integration and automation are not just valuable for traditional workloads but will be absolutely critical for the future of AI implementation, especially for inference. Our discussion pivots to Pure Storage's groundbreaking solution: Fusion. Learn what Fusion is – a powerful capability included in the latest versions of the Purity operating environment that provides an intelligent control plane for a centralized, unified management experience across an entire fleet of arrays. Our experts explain how Fusion inherently adopts Pure's API-First strategy, offering robust automation capabilities through PowerShell SDK, Ansible, and Python. They highlight how Fusion drives management, compliance, and workload configuration consistency from a single pane of glass, and how it's a vital foundation of Pure's Enterprise Data Cloud (EDC) vision. Listeners and viewers will gain invaluable insights into the tangible benefits of Fusion, including the ability to provision storage on any array from any array within the same UI, search and manage storage resources globally, and reconfigure resources without needing to access a specific array. Poorman and Nelson also explore how Fusion simplifies and standardizes workload deployments with pre-configured definitions, enabling end-to-end workload orchestration. They touch upon future enhancements like seamless interoperability across file, object, and block storage in on-site, hybrid, and cloud environments, and the exciting prospect of workload mobility. 
 Check out the new Pure Storage digital customer community to join the conversation with peers and Pure experts: 
https://purecommunity.purestorage.com/

What if the next decade of finance isn't about disruption, but inclusion?In this episode, Arjun sits down with Sopnendu Mohanty, Group CEO of GFTN and Advisor to the Monetary Authority of Singapore, to explore how technology, policy, and people are shaping the future of global finance.

Access Grid builds APIs that companies can use to manage digital key fobs directly within Apple and Google's wallet platforms. Plus, Taranjeet Singh has launched six companies, with some failing and others seeing varying degrees of success. His seventh, Mem0, could be his defining one. The startup starts with the premise that large language models can't remember past interactions the way humans do Learn more about your ad choices. Visit podcastchoices.com/adchoices

In this episode, hosts Lois Houston and Nikita Abraham, along with Principal OCI Instructor Orlando Gentil, break down the differences between Infrastructure-as-a-Service, Platform-as-a-Service, and Software-as-a-Service.   The conversation explores how each framework influences control, cost efficiency, expansion, reliability, and contingency planning.   Cloud Tech Jumpstart: https://mylearn.oracle.com/ou/course/cloud-tech-jumpstart/152992 Oracle University Learning Community: https://education.oracle.com/ou-community LinkedIn: https://www.linkedin.com/showcase/oracle-university/ X: https://x.com/Oracle_Edu   Special thanks to Arijit Ghosh, David Wright, Kris-Ann Nansen, Radhika Banka, and the OU Studio Team for helping us create this episode. ----------------------------------------------------- Episode Transcript: 00:00 Welcome to the Oracle University Podcast, the first stop on your cloud journey. During this series of informative podcasts, we'll bring you foundational training on the most popular Oracle technologies. Let's get started! 00:25 Nikita: Welcome to the Oracle University Podcast! I'm Nikita Abraham, Team Lead: Editorial Services with Oracle University, and with me is Lois Houston, Director of Innovation Programs. Lois: Hey there! Last week, we spoke about how hypervisors, virtual machines, and containers have transformed data centers. Today, we're moving on to something just as important—the main cloud models that drive modern cloud computing. Nikita: Orlando Gentil, Principal OCI Instructor at Oracle University, joins us once again for part four of our discussion on cloud data centers.  01:01 Lois: Hi Orlando! Glad to have you with us today. Can you walk us through the different types of cloud models?  Orlando: These are commonly categorized into three main service models: Infrastructure-as-a-Service, Platform-as-a-Service, and Software-as-a-Service. Let's use the idea of getting around town to understand cloud service models. IaaS is like renting a car. You don't own the car, but you control where it goes, how fast, and when to stop. In cloud terms, the provider gives you the infrastructure—virtual machines, storage, and networking—but you manage everything on top—the OS, middleware, runtime, and application. Thus, it's like using a shuttle service. You bring your bags—your code, pick your destination—your app requirements, but someone else drives and maintains the vehicle. You don't worry about the engine, fuel, or routing planning. That's the platform's job. Your focus stays on development and deployment, not on servers or patching. SaaS is like ordering a taxi. You say where you want to go and everything else is handled for you. It's the full-service experience. In the cloud, SaaS is software UXs over the web—Email, CRM, project management. No infrastructure, no updates, just productivity.  02:32 Nikita: Ok. How do the trade-offs between control and convenience differ across SaaS, PaaS, and IaaS? Orlando: With IaaS, much like renting a car, you gain high control. You are managing components like the operating system, runtime, your applications, and your data. In return, the provider expertly handles the underlying virtual machines, storage, and networking. This model gives you immense flexibility. Moving to PaaS, our shuttle service, you shift to a medium level of control but gain significantly higher convenience. Your primary focus remains on your application code and data. The provider now takes on the heavy lifting of managing the runtime environment, the operating system, the servers themselves, and even the scaling. Finally, SaaS, our taxi service, offers the highest convenience with the lowest control level. Here, your responsibility is essentially just using the application and managing your specific configurations or data within it. The cloud provider manages absolutely everything else—the entire infrastructure, the platform, and the application itself. 03:52 Nikita: One of the top concerns for cloud users is cost optimization. How can we manage this? Orlando: Each cloud service model offers distinct strategies to help you manage and reduce your spending effectively, as well as different factors that drives those costs. For Infrastructure-as-a-Service, where you have more control, optimization largely revolves around smart resource management. This means rightsizing your VMs, ensuring they are not overprovisioned, and actively turning off idle resources when not in use. Leveraging preemptible or spot instances for flexible workloads can also significantly cut costs. Your charges here are directly tied to your compute, storage, and network usage, so efficiency is key. Moving to Platform-as-a-Service, where the platform is managed for you, optimization shifts slightly. Strategies include choosing scalable platforms that can efficiently handle fluctuating demand, opting for consumption-based pricing where available, and diligently optimizing your runtime usage to minimize processing time. Costs in PaaS are typically based on your application usage, runtime hours, and storage consumed. Finally, for Software-as-a-Service where you can consume a ready-to-use application, cost optimization centers on licensing and usage. This involves consolidating tools to avoid redundant subscriptions, selecting usage-based plans if they align better with your needs, and crucially, eliminating any unused license. SaaS costs are generally based on subscription or per user fees. Understanding these nuances is essential for effective cloud financial management.  05:52 Lois: Ok. And what about scalability? How does each model handle the ability to grow and shrink with demand, without needing manual hardware changes? Orlando: How you achieve and manage that scalability varies significantly across our three service models. For Infrastructure-as-a-Service, you have the most direct control over scaling. You can implement manual or auto scaling by adding or removing virtual machines as needed, often leveraging load balancers to distribute traffic. In this model, you configure the scaling policies and parameters based on your specific workload. Moving to Platform-as-a-Service, the scaling becomes more automated and elastic. The platform automatically adjusts resources based on your application's demand, allowing it to seamlessly handle traffic spikes or dips. Here, the provider manages the underlying scaling behavior, freeing you from that operational burden. Finally, with Software-as-a-Service, scalability is largely abstracted and invisible to the user. The application scales automatically in the background, with the entire process fully managed by the provider. As a user, you simply benefit from the application's ability to handle millions of users without ever needing to worry about the infrastructure. Understanding these scaling differences is crucial for selecting the right model for your application's need.  07:34 Join the Oracle University Learning Community and tap into a vibrant network of over 1 million members, including Oracle experts and fellow learners. This dynamic community is the perfect place to grow your skills, connect with likeminded learners, and celebrate your successes. As a MyLearn subscriber, you have access to engage with your fellow learners and participate in activities in the community. Visit community.oracle.com/ou to check things out today!  08:05 Nikita: Welcome back! We've talked about cost optimization and scalability in cloud environments. But what about ensuring availability? How does that work?  Orlando: Availability refers to the ability of a system or service to remain accessible in operational, even in the face of failures or extremely high demand. The approach of achieving and managing availability, and crucially, your role versus the provider's differs greatly across each model. With Infrastructure-as-a-Service, you have the most direct control over your availability strategy. You will be responsible for designing an architecture that includes redundant VMs, deploying load balancers, and potentially even multi-region setups for disaster recovery. Your specific roles involves designing this architecture and managing your failover process and data backups. The provider's role, in turn, is to deliver the underlying infrastructure with defined service level agreements, SLAs, and health monitoring. For Platform-as-a-Service, the platform itself offers a higher degree of built-in, high availability, and automated failover. While the provider maintains the runtime platform's availability, your role shifts. You need to ensure your application's logic is designed to gracefully handle retries and potential transient failures that might occur. Finally, with Software-as-a-Service, availability is almost entirely handled for you. The provider ensures fully abstracted redundancy and failover behind the scenes. Your role becomes largely minimal, often just involving a specific application's configurations. The provider is entirely responsible for the full application uptime and the underlying high availability infrastructure. Understanding these distinct roles in ensuring availability is essential for setting expectations and designing your cloud strategy efficiently. 10:19 Lois: Building on availability, let's talk Disaster Recovery. Orlando: DR is about ensuring your systems and data can be recovered and brought back online in the event of a significant failure, whether it's a hardware crash, a natural disaster, or even human error. Just like the other aspects, the strategy and responsibilities for DR vary significantly across the cloud service models. For Infrastructure-as-a Service, you have the most direct involvement in your DR strategy. You need to design and execute custom DR plans. This involves leveraging capabilities like multi-region backups, taking VM snapshots, and setting up failover clusters. A real-world example might be using Oracle Cloud compute to replicate your VMs to a secondary region with block volume backups to ensure business continuity. Essentially, you manage your entire DR process here. Moving to Platform-as-a-Service, disaster recovery becomes a shared responsibility. The platform itself offers built-in redundancy and provide APIs for backup and restore. Your role will be to configure the application-level recovery and ensure your data is backed up appropriately, while the provider handles the underlying infrastructure's DR capability. An example could be Azure app service, Oracle APEX applications, where your apps are redeployed from source control like Git after an incident. Finally, with Software-as-a-Service, disaster recovery is almost entirely vendor managed. The provider takes full responsibility, offering features like auto replication and continuous backup, often backed by specific Recovery Point Objective (RPO) and Recovery Time Objective (RTO) SLAs. A common example is how Microsoft 365 or Salesforce manage user data backups in restoration. It's all handled seamlessly by the provider without your direct intervention. Understanding these different approaches to DR is crucial for defining your own business continuity plans in the cloud. 12:46 Lois: Thank you, Orlando, for this insightful discussion. To recap, we spoke about the three main cloud models: IaaS, PaaS, and SaaS, and how each one offers a different mix of control and convenience, impacting cost, scalability, availability, and recovery.  Nikita: Yeah, hopefully this helps you pick the right cloud solution for your needs. If you want to learn more about the topics we discussed today, head over to mylearn.oracle.com and search for the Cloud Tech Jumpstart course. In our next episode, we'll take a close look at the essentials of networking. Until then, this is Nikita Abraham… Lois: And Lois Houston, signing off! 13:26 That's all for this episode of the Oracle University Podcast. If you enjoyed listening, please click Subscribe to get all the latest episodes. We'd also love it if you would take a moment to rate and review us on your podcast app. See you again on the next episode of the Oracle University Podcast.

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.

Can artificial intelligence make landside logistics safer, smarter, and more resilient? In this episode of Beyond The Box, we explore how AI, data integration, and digital platforms are reshaping the future of landside logistics - from smarter routing and real-time visibility to enhanced safety and workforce empowerment.  

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]

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

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

OpenAI has launched its new browser Atlas built to compete with Comet, Chrome, Edge, and other Chromium based browsers. As with other AI based browsers, Atlas comes with a slew of amazing self-directing features along with the potential for a long term mess of major security flaws, exploitable bugs, and the threat of malicious prompting. These are the earliest generations of AI based browsers so both problems and rapid improvements are inevitable. While AI is being added to virtually everything, two federal judges warn it should not be used in law noting how judges and clerks using AI in their writing have led to serious errors in US court rulings. Meanwhile Microsoft has added Harvard Health sourcing to Copilot. Reddit is suing Perplexity and SerpAPI over their scraping of Reddit data from Google's search index, which contributed to Google's decision to severely limit the size of results sets available to APIs. We get more information about impression loss at GSC. Google notes that links, technical SEO, and migrations can't fix craptastic quality issues. We're assuming they're talking about content but not being as clear as possible. Research shows LLMs are used for research and information and websites are used for buying as conversions from LLM traffic tends to be lower than those sent by Google search. All this and more on a truly browserific edition of Webcology.Support this podcast at — https://redcircle.com/webcology/donationsAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy

In this episode, we go deep on two fronts: protecting open-source projects from trademark hijacking and advancing real-world hash rate heating. We share the ongoing battle to oppose fraudulent USPTO filings on the BitAxe mark, why “TM” vs. registered matters, and how we're navigating opposition, Madrid Protocol options, and the broader goal of keeping open hardware open without enabling scammers. We then switch to practical engineering: Tyler walks us through immersion mining powering radiant floor heat, dynamic performance scaling, control loops with Home Assistant, thermostats and dry coolers, and why tight software control beats expensive hardware band-aids. We unpack LibreBoard and Mujina plans, APIs, Stratum v1/v2 quirks, Intel vs. Bitmain chip behaviors, and how PyASIC/ASIC-RS standardize miner control. We also touch on FreeCAD pains, open-source CAD needs, educational content plans, and a wild idea: launching a BitAxe to low Earth orbit for space-mining experiments. The throughline: building a sustainable, open-source mining ecosystem where entrepreneurs can profit while dismantling proprietary roadblocks, especially for heat reuse at home and in buildings.Resources we discussed or referenced include: USPTO trademark process and oppositions, Madrid Protocol for international marks, Home Assistant integrations with open thermostats/APIs, LibreBoard and Mujina firmware architecture, BrainsOS and DPS/ATM concepts, PyASIC and ASIC-RS (standardizing miner APIs), FreeCAD/KiCad vs. proprietary CAD, and Dyson Labs' BitAxe-in-space concept. We wrap with shout-outs to community hashers supporting 256 Foundation and an invitation to contribute, test, and build on these open platforms.

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.

Welcome to episode 327 of The Cloud Pod, where the forecast is always cloudy! Justin, Matt, and Ryan are here to bring you all the latest news (and a few rants) in the worlds of Cloud and AI. I'm sure all our readers are aware of the AWS outage last week, as it was in all the news everywhere. But we've also got some new AI models (including Sora in case you're low on really crappy videos the youths might like), plus EKS, Kubernetes, Vertex AI, and more. Let's get started!  Titles we almost went with this week Oracle and Azure Walk Into a Cloud Bar: Nobody Gets ETL’d When DNS Goes Down, So Does Your Monday: AWS Takes Half the Internet on a Coffee Break 404 Cloud Not Found: AWS Proves Even the Internet’s Phone Book Can Get Lost DNS: Definitely Not Staffed – How AWS Lost Its Way When It Lost Its People When Larry Met Satya: A Cloud Love Story Azure Finally Answers ‘Dude, Where’s My Data?’ with Storage Discovery Breaking: Microsoft Discovers AI Training Uses More Power Than a Small Country 404 Engineers Not Found – AWS Learns the Hard Way That People Are Its Most Critical Infrastructure Azure Storage Discovery: Finding Your Data Needles in the Cloud Haystack EKS Auto Mode: Because Even Your Clusters Deserve Cruise Control Azure Gets Reel: Microsoft Adds Video Generation to AI Foundry The Great Token Heist: Vertex AI Steals 90% Off Your Gemini Bills Cache Me If You Can: Vertex AI’s Token-Saving Feature IaC Just Got a Manager – And It’s Not Your Boss  From Musk to Microsoft: Grok 4 Makes the Great Cloud Migration No Harness.. You are not going to make IACM happen Microsoft Drafts a Solution to Container Creation Chaos PowerShell to the People: Azure Simplifies the Great Gateway Migration IP There Yet? Azure’s Scripts Keep Your Address While You Upgrade Follow Up 00:53 Glacier Deprecation Email Standalone Amazon Glacier service (vault-based with separate APIs) will stop accepting new customers as of December 15, 2025.  S3 Glacier storage classes (Instant Retrieval, Flexible Retrieval, Deep Archive) are completely unaffected and continue normally Existing Glacier customers can keep using it forever – no forced migration required.  AWS is essentially consolidating around S3 as the unified storage platform, rather than maintaining two separate archival services. The standalone service will enter maintenance mode, meaning there will be no new features, but the service will remain operational. Migration to S3 Glacier is optional but recommended for better integration, lower costs, and more features. (Justin assures us it is actually slightly cheaper, so there's that.)  General News  02:24

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

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.

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