Podcasts about a2a

“Purpose makes leadership feel worth it.” - Randy SmithWelcome to episode 225 of The CUInsight Experience podcast with your hosts, Randy Smith, co-founder of CUInsight, and Jill Nowacki, President and CEO of Humanidei.This episode is sponsored by Alacriti, a leading payments fintech helping credit unions modernize money movement. Alacriti enables real-time money movement experiences for loan payments, A2A transfers, digital disbursements, and bill pay. Through a single cloud-native platform that connects to RTP, FedNow, Fedwire, ACH, Visa Direct, and Zelle, credit unions can progressively modernize without overhauling legacy systems. Learn more at alacriti.com!In this new 2026 season, Jill and I will have conversations centered around leadership, credit unions, and living our best lives. We will have some of the most respected leaders from around credit unions who we are grateful to call friends join us in the discussion from time to time too.We open this season with a clear intention: leadership that feels meaningful, sustainable, and human, and we are much less focused on fixing what's broken and more on naming what helps leaders feel grounded, energized, and aligned with why they do the work in the first place.Purpose is ultimately the throughline, and Jill shares why it continues to matter so deeply to her, not just as a concept but as something that directly shapes well-being, motivation, and joy at work. From leadership teams to individuals feeling stuck, burned out, or in transition, she reflects on how a lack of purpose shows up in mental health, engagement, and fulfillment, with the question not being just how leaders define purpose for themselves but also how they help their teams understand the value of what they contribute every day.We also add another lens: purpose as the difference between motion and direction; running fast doesn't help if you're headed the wrong way. Together, we explore what it looks like to slow down just enough to make sure that the work is worth doing—especially after years marked by urgency, disruption, and constant change. Our conversation also touches on what leaders are grappling with right now. While AI and technology continue to evolve, Jill observes a noticeable shift as 2026 begins: less panic, more curiosity, and a renewed focus on staying human-centered while using new tools appropriately.You will also get a preview of what's ahead this season, including conversations about career-defining moments, celebrating wins, building legacy, staying grounded, and finding joy in watching others succeed. Thanks for tuning in, and we hope that you enjoy this first episode of a new season of the show! Find the full show notes on cuinsight.com.Subscribe on: Apple Podcasts and SpotifyBooks mentioned on The CUInsight Experience podcast: Book ListPrevious guest mentioned in this episode: Tracie Kenyon (episodes 12 & 20Send us a text

As we conclude the Wild Card round of the NFL playoffs, coaches are fired, trade talks are heating up, and games came down to the wire. The guys break that all down plus take a quick glimpse at the Wolves, Gophers, and so much more on this week's A2a.

What if account-to-account payments felt as dependable as swiping a card? We sit down with Keith Raphael, Co-founder and CEO of Straddle, to explore how a trust-first approach can transform ACH, RTP, and FedNow into fast, reliable options that product teams and finance leaders can actually count on. Keith's journey from hardcore compliance to building a unified API offers a rare, inside look at what it takes to replace “file uploads and hope” with identity-led orchestration and clear, real-time visibility.We unpack the core idea that money moves at the speed of trust and how the lack of a strong identity layer has kept A2A stuck in 1970s-era uncertainty. Keith explains how Straddle combines KYC, fraud detection, open banking connectivity, tokenization, and multi-rail routing to solve the “where is my money” gap for subscriptions, stored-value wallets, remittances, marketplaces, and B2B flows. We also dig into US-specific headwinds: no regulatory mandate for open banking or instant payments, incumbent pricing strategies that protect debit economics, and the resulting friction for adopters.From the rise of platforms and embedded finance to direct-to-rail integrations and the cautious reality of stablecoins, Keith lays out a pragmatic roadmap for scaling bank payments without sacrificing compliance or customer trust. The lesson from Stripe and Square still stands (simplicity wins) but it now applies to ACH, RTP, and FedNow. 

The Wild made one of the biggest blockbuster trades in recent NHL memory, and haven't lost a game since. JJ McCarthy is starting to show something, has he turned it around? Plus, it was John Cena's final match and the guys discuss if it went the way they expected and felt like it should have. All that and more on a fresh A2a!

Today's podcast is the first in our four-part series in proud partnership with Enfinity Global.  Enfinity is one of Europe's leading IPPs and the winner of inspiratia's 2025 Developer of the Year and Financial Structure of the Year awards. In our series together, we explore the challenges, opportunities, and key decisions that European developers are faced with today and take a deep dive into understanding Enfinity's approach to navigating - and shaping - the continent's energy future.  In this episode, our analyst, Daniel Burge, is joined by Alice Cajani, Enfinity's head of Energy Commercialisation, and Roberto Pozzi, Head of Origination at A2A, to discuss the finer points of commercialising the capacity springing up across Europe. Our guests reflect on lessons learned from the forefront of the transition, explore the complexities of developer-utility collaboration, and muse on what needs to happen next to foster more robust European energy markets in 2026.  This episode is hosted by Daniel Burge, Lead Commercial Analyst at inspiratia. This episode was edited by Leonard Müller, Reporter at inspiratia. This episode is sponsored by Enfinity Global. Reach out to us at: podcasts@inspiratia.comFind all of our latest news and analysis by subscribing to inspiratia Interested in tickets for one of our events? Email conferences@inspiratia.com or buy them directly on our website.Listen to all our episodes on Apple Podcasts, Spotify, and other providers. Music credit: NDA/Show You instrumental/Tribe of Noise©2025 inspiratia. All rights reserved.This content is protected by copyright. Please respect the author's rights and do not copy or reproduce it without permission.

If you run a small or mid-sized retail business and feel stuck between legacy tools and rising customer expectations, this conversation is your playbook for breaking through. We sit down with Unzer CEO Robert Bueninck to unpack how bundling software and payments helps merchants deliver seamless experiences across in-store and online without enterprise budgets or heavyweight integrations.Robert traces his journey from early Klarna days to leading Unzer's “payments and beyond” ecosystem, and lays out why the mid-market is the most underserved (and most promising) space in European commerce. We dive into the practical ways software plus payments drives real outcomes: faster onboarding, unified reporting, and simpler support when QR ordering, click-and-collect, or in-store returns marry e-commerce and POS. He explains Unzer's focus on food services, beauty, and apparel, and how a clear build-partner boundary keeps products sharp while letting merchants scale when complexity grows.We also dig into Europe's unique payments fabric. Alternative payment methods and account-to-account rails already dominate online checkout in markets like the Netherlands and Belgium, changing merchant economics with lower cost and instant funds. BNPL fills the buyer-protection gap, while policymakers push toward a pan-European A2A framework and greater vendor independence. Robert separates hype from habit on agentic commerce and stablecoins, arguing that adoption only happens when the new flow truly makes life easier for shoppers and staff and that's where the mid-market wins.Looking ahead, Robert outlines Unzer's growth bets: expand combined software and payments across core markets, bring all products to all regions, and help “make Germany digital” as a foundation for broader European reach.  If you care about SMB retail, omnichannel checkout, A2A payments, BNPL, and the future of European payments infrastructure, you'll find plenty to act on here.

New PA schools are launching—meaning more seats, more opportunities, and more chances to get accepted! Yay! In this episode, we drop the new PA programs just opened and what to consider before applying!>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>Create your most competitive application in Application to Acceptance Course - where we walk you step-by-step to create your strongest, most competitive PA school application!

Maribel Lopez reports live from AWS re:Invent 2025 in Las Vegas, unpacking why the AI experimentation phase is officially over. With statistics that say 95% of AI projects are failing and enterprise budgets tightening, 2026 demands production-quality AI—not more proof-of-concepts. This episode explores the critical shift from building agents to deploying them safely at scale.Key ThemesThe Reality Check (2025 Recap)MIT study reveals 95% AI project failure rateMcKinsey and BCG document widespread implementation strugglesBoard-level AI initiatives now demand real ROI, not just innovation theaterThe POC gold rush is over—experimentation budgets are drying upAgentic AI Grows Up The conversation has evolved from "can we build agents?" to "can we trust them in production?" Three critical roadblocks:Security & Orchestration: How agents interact without creating vulnerabilitiesPolicy & Governance: Preventing rogue agents and establishing guardrailsObservability: Real-time monitoring to ensure agents perform as intendedAWS re:Invent 2025 HighlightsAgent Core ImprovementsEnhanced policy frameworks defining agent boundaries and permissionsHuman-in-the-loop controls for high-stakes decisionsBetter cross-stack orchestration for multi-agent workflowsThe Discoverability ProblemAWS Marketplace now features natural language searchUpload requirements documents instead of filling rigid formsAI-suggested prompts help non-technical users navigate complex decisionsSmarter filtering for nuanced needs (performance vs. cost vs. compliance)The Full-Stack MaturityRecognition that AI "takes a village"—no single vendor owns the entire stackGrowing emphasis on open standards (A2A, MCP) for SaaS integrationTools designed for all skill levels, not just data scientistsKey TakeawayEnterprise AI in 2026 isn't about doing more—it's about doing it right. The winners will be organizations that prioritize governance, observability, and practical deployment over flashy demos.Host: Maribel LopezRecorded: AWS re:Invent, Las Vegas, December 2025Follow-up: Stay tuned for next week's deep-dive episode with demos and vendor interviews

The guys have a big time weekend to recap, and not just because every Minnesota team happened to win. Come find out how months long storylines ended. Not to mention, capping it all off with John Cena's final Raw. All of that and so much more on a massive A2a.

In this episode of The Digital Executive, host Brian Thomas welcomes Chirag Agrawal, a senior technologist and AI infrastructure expert with deep experience building large-scale platforms, distributed systems, and multi-agent orchestration for Alexa. With over a decade in advanced AI systems, Chirag shares his perspective on what it really takes to move from “having a model” to running resilient, scalable AI agents in production.Chirag explains why models should be treated as dependencies—not the product itself—and why teams repeatedly fall into the trap of building agents from scratch instead of relying on proven frameworks. He unpacks the often-overlooked complexity behind agent systems: retrieval, tool orchestration, memory, context compression, caching, evaluation frameworks, and guardrails that must be treated as first-class components.The conversation dives into the balance between developer freedom and architectural discipline, highlighting how strong developer tooling actually accelerates experimentation while enforcing performance, safety, and reliability across teams.Chirag also details the key operational metrics that matter most in production agent platforms—from latency breakdowns to token usage patterns to offline quality metrics—and discusses the art of navigating trade-offs across quality, cost, and speed.Looking ahead, Chirag emphasizes that ethics, bias mitigation, auditability, and transparency must be embedded at the foundational layer of AI platforms. He highlights the importance of interoperability standards such as MCP and A2A, predicting a future where agents discover, authenticate, and collaborate across systems—much like the evolution from early mobile apps to fully mature ecosystems.He paints a future shaped by an “internet of agents”: interconnected, multi-agent systems that share capabilities while maintaining their own governance boundaries—a transformative step toward next-generation production AI infrastructure.A must-listen for engineering leaders, AI builders, and anyone navigating the challenges of deploying agentic AI at scale.If you liked what you heard today, please leave us a review - Apple or Spotify. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Come and celebrate Accessibility Sunday! On this special day, we remember that sometimes people can feel left out because of stairs, or hard to read words, or not being able to hear, or because people don't understand their needs. Sometimes we can't see what someone needs but our calling as a church is to be like Jesus, making sure everyone is included, and that church is a place where no one feels left out. We'll be hearing from three of our members about what accessibility means to them. We will also be celebrating our recent designation by the United Church of Christ as a congregation that is Accessible to All (A2A). A2A is the terminology used within the UCC to refer to congregations that have completed the Accessible to All process and thereby made the commitment to be physically and attitudinally welcoming of people with disabilities. The A2A process has for many years been defined by the A2A resource “Any Body, Everybody, Christ's Body” Link to Livestream: https://www.youtube.com/watch?v=yUk6jFv9Gno⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Link to Start of Reflection: https://www.youtube.com/watch?v=yUk6jFv9Gno&t=1914sIf you are new to our faith community and are interested in learning more, please go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Welcome to First Congo Online - First Congregational Church of Western Springs

Come and celebrate Accessibility Sunday! On this special day, we remember that sometimes people can feel left out because of stairs, or hard to read words, or not being able to hear, or because people don't understand their needs. Sometimes we can't see what someone needs but our calling as a church is to be like Jesus, making sure everyone is included, and that church is a place where no one feels left out. We'll be hearing from three of our members about what accessibility means to them. We will also be celebrating our recent designation by the United Church of Christ as a congregation that is Accessible to All (A2A). A2A is the terminology used within the UCC to refer to congregations that have completed the Accessible to All process and thereby made the commitment to be physically and attitudinally welcoming of people with disabilities. The A2A process has for many years been defined by the A2A resource “Any Body, Everybody, Christ's Body” Link to Livestream: ⁠https://www.youtube.com/watch?v=yUk6jFv9Gno⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Link to Start of Reflection: https://www.youtube.com/watch?v=yUk6jFv9Gno&t=2650sIf you are new to our faith community and are interested in learning more, please go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Welcome to First Congo Online - First Congregational Church of Western Springs

Come and celebrate Accessibility Sunday! On this special day, we remember that sometimes people can feel left out because of stairs, or hard to read words, or not being able to hear, or because people don't understand their needs. Sometimes we can't see what someone needs but our calling as a church is to be like Jesus, making sure everyone is included, and that church is a place where no one feels left out. We'll be hearing from three of our members about what accessibility means to them. We will also be celebrating our recent designation by the United Church of Christ as a congregation that is Accessible to All (A2A). A2A is the terminology used within the UCC to refer to congregations that have completed the Accessible to All process and thereby made the commitment to be physically and attitudinally welcoming of people with disabilities. The A2A process has for many years been defined by the A2A resource “Any Body, Everybody, Christ's Body” Link to Livestream: ⁠https://www.youtube.com/watch?v=yUk6jFv9Gno⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Link to Start of Reflection: https://www.youtube.com/watch?v=yUk6jFv9Gno&t=3998sIf you are new to our faith community and are interested in learning more, please go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Welcome to First Congo Online - First Congregational Church of Western Springs

For episode 625 of the BlockHash Podcast, host Brandon Zemp is joined by Rodrigo Coelho, CEO of Edge & Node. Autonomous agents across blockchain ecosystems are beginning to transact, communicate, and collaborate independently, yet there is no standardized way to manage agent to agent interactions (payments).Edge & Node, the founding team behind The Graph, is solving this problem by providing the missing management layer, Ampersend. Ampersend extends Coinbase's x402 payment protocol and Google's A2A communication standard with observability, automation, and compliance-ready controls.The result is an operational system where developers, startups, and enterprises can see how agents interact, set policies, manage budgets, and ensure reliability. Ampersend also aligns with Ethereum's emerging ERC-8004 agent discovery standard. ⏳ Timestamps: (0:00) Introduction(1:15) Who is Rodrigo Coelho?(8:57) What is Edge & Node?(10:10) What is Ampersend?(12:35) What will the Agentic economy look like?(18:53) Scaling the Agentic economy(25:42) Neo Robots(26:43) Importance of Agentic verifiability(28:00) Ampersend launch(30:10) Edge & Node roadmap for 2026(32:47) Edge & Node website, socials & community 

L'ennesimo vertice sull'ex Ilva, tenutosi a Palazzo Chigi sotto il coordinamento del sottosegretario Alfredo Mantovano (nella foto), non ha portato a risultati concreti. I segretari generali di Fim, Fiom e Uilm hanno accusato il ministro Urso di "tradimento" e chiesto l'intervento diretto della presidente del Consiglio. Secondo i sindacati, il governo avrebbe presentato un piano di chiusura, con 6.000 cassintegrati, invece del piano di riconversione atteso. L'esecutivo ha illustrato un piano operativo a "ciclo corto", che riduce a quattro anni il percorso di decarbonizzazione ma prevede l'aumento del numero di dipendenti in cassa integrazione a 5.700 unità, poi 6.000 da gennaio. Urso avrebbe inoltre confermato l'esistenza di una "trattativa riservata" con un nuovo operatore interessato all'ex Ilva, oltre ai fondi Bedrock e Flacks, che avrebbero offerto zero euro per gli asset. Secondo Il Sole 24 Ore, ci sarebbero stati contatti anche con Qatar Steel, che però non ha ancora presentato una manifestazione formale di interesse. I tempi per la cessione di Acciaierie d'Italia si allungano e potrebbe rendersi necessario un nuovo intervento pubblico, forse in legge di bilancio, per garantire la continuità operativa. Intanto, il governo avrebbe chiesto a Eni un supporto tecnico per stabilizzare il costo del gas, elemento cruciale per il futuro impianto di preridotto (Dri) e per la riconversione verde dell'acciaieria. I sindacati restano preoccupati per i tagli e chiedono un coinvolgimento diretto dello Stato nel piano industriale. Ne parliamo con Paolo Bricco, Il Sole 24 OreTir, imprese e associazioni di categoria contro divieto di sorpasso in A1. Salvini avvia un tavolo tecnicoIl ministro dei Trasporti Matteo Salvini ha deciso di istituire un tavolo tecnico con le rappresentanze del settore autotrasporto per discutere il divieto di sorpasso ai mezzi pesanti sull'A1, introdotto da Autostrade per l'Italia dal 3 novembre. La misura, sperimentale per sei mesi, riguarda il tratto tra Incisa-Reggello e Chiusi, lungo circa 90 chilometri, e si applica ai veicoli sopra le 12 tonnellate. Le sanzioni per chi viola il divieto arrivano a 666 euro, con sospensione della patente e decurtazione di punti. Le associazioni di categoria, tra cui FAI, Fiap e Trasportounito, criticano la decisione, definendola un provvedimento unilaterale che penalizza il settore e aggrava le difficoltà operative. Il presidente della FAI, Paolo Uggè, ha chiesto la sospensione immediata delle sanzioni e la convocazione urgente di un tavolo di confronto. Dopo i primi giorni di applicazione del divieto, le imprese segnalano ritardi nelle consegne, code e disagi, con ripercussioni anche sulla E45. Le associazioni temono conseguenze economiche e di sicurezza, ribadendo che la sicurezza stradale non può essere perseguita a scapito della sostenibilità del trasporto. Interviene Paolo Uggè, Presidente Conftrasporto e FAI (Federazione Autotrasportatori Italiani).A2a, in 9 mesi ricavi in crescita ma cala l'utileA2a ha presentato i conti dei primi nove mesi dell'anno e il nuovo piano strategico al 2035, che prevede investimenti complessivi per 23 miliardi di euro, di cui 16 destinati alla transizione energetica e 7 all'economia circolare. Il gruppo punta alla neutralità climatica entro il 2050 e a un'espansione in nuovi mercati europei. Tuttavia, i conti trimestrali hanno deluso i mercati: a fronte di ricavi in crescita del 12% a 10,17 miliardi, il margine operativo lordo è sceso del 4% a 1,73 miliardi, l'utile operativo dell'11% a 956 milioni e l'utile netto del 19% a 581 milioni, soprattutto per la riduzione della produzione idroelettrica (-26%). Il gruppo conferma comunque le stime annuali. A2a ha inoltre costituito A2a Life Ventures, dedicata allo sviluppo di soluzioni digitali e di intelligenza artificiale, e ha siglato un PPA quindicennale con Erg per la fornitura di 2,7 TWh di energia eolica a partire dal 2027. Il 70% degli investimenti effettuati nei primi nove mesi è in linea con la tassonomia europea, rappresentando oltre la metà degli investimenti italiani conformi. Crescono anche la capacità installata delle reti elettriche (+67%) e la vendita di elettricità verde (+43%). Affrontiamo il tema proprio con Renato Mazzoncini, Ad A2a.

Dans cet épisode, Arnaud et Guillaume discutent des dernières évolutions dans le monde de la programmation, notamment les nouveautés de Java 25, JUnit 6, et Jackson 3. Ils abordent également les récents développements en IA, les problèmes rencontrés dans le cloud, et l'état actuel de React et du web. Dans cette conversation, les intervenants abordent divers sujets liés à la technologie, notamment les spécifications de Wasteme, l'utilisation des UUID dans les bases de données, l'approche RAG en intelligence artificielle, les outils MCP, et la création d'images avec Nano Banana. Ils discutent également des complexités du format YAML, des récents dramas dans la communauté Ruby, de l'importance d'une bonne documentation, des politiques de retour au bureau, et des avancées de Cloud Code. Enfin, ils évoquent l'initiative de cafés IA pour démystifier l'intelligence artificielle. Enregistré le 24 octobre 2025 Téléchargement de l'épisode LesCastCodeurs-Episode-331.mp3 ou en vidéo sur YouTube. News Langages GraalVM se détache du release train de Java https://blogs.oracle.com/java/post/detaching-graalvm-from-the-java-ecosystem-train Un article de Loic Mathieu sur Java 25 et ses nouvelles fonctionalités https://www.loicmathieu.fr/wordpress/informatique/java-25-whats-new/ Sortie de Groovy 5.0 ! https://groovy-lang.org/releasenotes/groovy-5.0.html Groovy 5: Évolution des versions précédentes, nouvelles fonctionnalités et simplification du code. Compatibilité JDK étendue: Full support JDK 11-25, fonctionnalités JDK 17-25 disponibles sur les JDK plus anciens. Extension majeure des méthodes: Plus de 350 méthodes améliorées, opérations sur tableaux jusqu'à 10x plus rapides, itérateurs paresseux. Améliorations des transformations AST: Nouveau @OperatorRename, génération automatique de @NamedParam pour @MapConstructor et copyWith. REPL (groovysh) modernisé: Basé sur JLine 3, support multi-plateforme, coloration syntaxique, historique et complétion. Meilleure interopérabilité Java: Pattern Matching pour instanceof, support JEP-512 (fichiers source compacts et méthodes main d'instance). Standards web modernes: Support Jakarta EE (par défaut) et Javax EE (héritage) pour la création de contenu web. Vérification de type améliorée: Contrôle des chaînes de format plus robuste que Java. Additions au langage: Génération d'itérateurs infinis, variables d'index dans les boucles, opérateur d'implication logique ==>. Améliorations diverses: Import automatique de java.time.**, var avec multi-assignation, groupes de capture nommés pour regex (=~), méthodes utilitaires de graphiques à barres ASCII. Changements impactants: Plusieurs modifications peuvent nécessiter une adaptation du code existant (visibilité, gestion des imports, comportement de certaines méthodes). **Exigences JDK*: Construction avec JDK17+, exécution avec JDK11+. Librairies Intégration de LangChain4j dans ADK pour Java, permettant aux développeurs d'utiliser n'importe quel LLM avec leurs agents ADK https://developers.googleblog.com/en/adk-for-java-opening-up-to-third-party-language-models-via-langchain4j-integration/ ADK pour Java 0.2.0 : Nouvelle version du kit de développement d'agents de Google. Intégration LangChain4j : Ouvre ADK à des modèles de langage tiers. Plus de choix de LLM : En plus de Gemini et Claude, accès aux modèles d'OpenAI, Anthropic, Mistral, etc. Modèles locaux supportés : Utilisation possible de modèles via Ollama ou Docker Model Runner. Améliorations des outils : Création d'outils à partir d'instances d'objets, meilleur support asynchrone et contrôle des boucles d'exécution. Logique et mémoire avancées : Ajout de callbacks en chaîne et de nouvelles options pour la gestion de la mémoire et le RAG (Retrieval-Augmented Generation). Build simplifié : Introduction d'un POM parent et du Maven Wrapper pour un processus de construction cohérent. JUnit 6 est sorti https://docs.junit.org/6.0.0/release-notes/ :sparkles: Java 17 and Kotlin 2.2 baseline :sunrise_over_mountains: JSpecify nullability annotations :airplane_departure: Integrated JFR support :suspension_railway: Kotlin suspend function support :octagonal_sign: Support for cancelling test execution :broom: Removal of deprecated APIs JGraphlet, une librairie Java sans dépendances pour créer des graphes de tâches à exécuter https://shaaf.dev/post/2025-08-25-think-in-graphs-not-just-chains-jgraphlet-for-taskpipelines/ JGraphlet: Bibliothèque Java légère (zéro-dépendance) pour construire des pipelines de tâches. Principes clés: Simplicité, basée sur un modèle d'exécution de graphe. Tâches: Chaque tâche a une entrée/sortie, peut être asynchrone (Task) ou synchrone (SyncTask). Pipeline: Un TaskPipeline construit et exécute le graphe, gère les I/O. Modèle Graph-First: Le flux de travail est un Graphe Orienté Acyclique (DAG). Définition des tâches comme des nœuds, des connexions comme des arêtes. Support naturel des motifs fan-out et fan-in. API simple: addTask("id", task), connect("fromId", "toId"). Fan-in: Une tâche recevant plusieurs entrées reçoit une Map (clés = IDs des tâches parentes). Exécution: pipeline.run(input) retourne un CompletableFuture (peut être bloquant via .join() ou asynchrone). Cycle de vie: TaskPipeline est AutoCloseable, garantissant la libération des ressources (try-with-resources). Contexte: PipelineContext pour partager des données/métadonnées thread-safe entre les tâches au sein d'une exécution. Mise en cache: Option de mise en cache pour les tâches afin d'éviter les re-calculs. Au tour de Microsoft de lancer son (Microsoft) Agent Framework, qui semble être une fusion / réécriture de AutoGen et de Semnatic Kernel https://x.com/pyautogen/status/1974148055701028930 Plus de détails dans le blog post : https://devblogs.microsoft.com/foundry/introducing-microsoft-agent-framework-the-open-source-engine-for-agentic-ai-apps/ SDK & runtime open-source pour systèmes multi-agents sophistiqués. Unifie Semantic Kernel et AutoGen. Piliers : Standards ouverts (MCP, A2A, OpenAPI) et interopérabilité. Passerelle recherche-production (patterns AutoGen pour l'entreprise). Extensible, modulaire, open-source, connecteurs intégrés. Prêt pour la production (observabilité, sécurité, durabilité, "human in the loop"). Relation SK/AutoGen : S'appuie sur eux, ne les remplace pas, simplifie la migration. Intégrations futures : Alignement avec Microsoft 365 Agents SDK et Azure AI Foundry Agent Service. Sortie de Jackson 3.0 (bientôt les Jackson Five !!!) https://cowtowncoder.medium.com/jackson-3-0-0-ga-released-1f669cda529a Jackson 3.0.0 a été publié le 3 octobre 2025. Objectif : base propre pour le développement à long terme, suppression de la dette technique, architecture simplifiée, amélioration de l'ergonomie. Principaux changements : Baseline Java 17 requise (vs Java 8 pour 2.x). Group ID Maven et package Java renommés en tools.jackson pour la coexistence avec Jackson 2.x. (Exception: jackson-annotations ne change pas). Suppression de toutes les fonctionnalités @Deprecated de Jackson 2.x et renommage de plusieurs entités/méthodes clés. Modification des paramètres de configuration par défaut (ex: FAIL_ON_UNKNOWN_PROPERTIES désactivé). ObjectMapper et TokenStreamFactory sont désormais immutables, la configuration se fait via des builders. Passage à des exceptions de base non vérifiées (JacksonException) pour plus de commodité. Intégration des "modules Java 8" (pour les noms de paramètres, Optional, java.time) directement dans l'ObjectMapper par défaut. Amélioration du modèle d'arbre JsonNode (plus de configurabilité, meilleure gestion des erreurs). Testcontainers Java 2.0 est sorti https://github.com/testcontainers/testcontainers-java/releases/tag/2.0.0 Removed JUnit 4 support -> ups Grails 7.0 est sortie, avec son arrivée à la fondation Apache https://grails.apache.org/blog/2025-10-18-introducing-grails-7.html Sortie d'Apache Grails 7.0.0 annoncée le 18 octobre 2025. Grails est devenu un projet de premier niveau (TLP) de l'Apache Software Foundation (ASF), graduant d'incubation. Mise à jour des dépendances vers Groovy 4.0.28, Spring Boot 3.5.6, Jakarta EE. Tout pour bien démarrer et développer des agents IA avec ADK pour Java https://glaforge.dev/talks/2025/10/22/building-ai-agents-with-adk-for-java/ Guillaume a partagé plein de resources sur le développement d'agents IA avec ADK pour Java Un article avec tous les pointeurs Un slide deck et l'enregistrement vidéo de la présentation faite lors de Devoxx Belgique Un codelab avec des instructions pour démarrer et créer ses premiers agents Plein d'autres samples pour s'inspirer et voir les possibilités offertes par le framework Et aussi un template de projet sur GitHub, avec un build Maven et un premier agent d'exemple Cloud Internet cassé, du moins la partie hébergée par AWS #hugops https://www.theregister.com/2025/10/20/aws_outage_amazon_brain_drain_corey_quinn/ Panne majeure d'AWS (région US-EAST-1) : problème DNS affectant DynamoDB, service fondamental, causant des défaillances en cascade de nombreux services internet. Réponse lente : 75 minutes pour identifier la cause profonde; la page de statut affichait initialement "tout va bien". Cause sous-jacente principale : "fuite des cerveaux" (départ d'ingénieurs AWS seniors). Perte de connaissances institutionnelles : des décennies d'expertise critique sur les systèmes AWS et les modes de défaillance historiques parties avec ces départs. Prédictions confirmées : un ancien d'AWS avait anticipé une augmentation des pannes majeures en 2024. Preuves de la perte de talents : Plus de 27 000 licenciements chez Amazon (2022-2025). Taux élevé de "départs regrettés" (69-81%). Mécontentement lié à la politique de "Return to Office" et au manque de reconnaissance de l'expertise. Conséquences : les nouvelles équipes, plus réduites, manquent de l'expérience nécessaire pour prévenir les pannes ou réduire les temps de récupération. Perspective : Le marché pourrait pardonner cette fois, mais le problème persistera, rendant les futurs incidents plus probables. Web React a gagné "par défaut" https://www.lorenstew.art/blog/react-won-by-default/ React domine par défaut, non par mérite technique, étouffant ainsi l'innovation front-end. Choix par réflexe ("tout le monde connaît React"), freinant l'évaluation d'alternatives potentiellement supérieures. Fondations techniques de React (V-DOM, complexité des Hooks, Server Components) vues comme des contraintes actuelles. Des frameworks innovants (Svelte pour la compilation, Solid pour la réactivité fine, Qwik pour la "resumability") offrent des modèles plus performants mais sont sous-adoptés. La monoculture de React génère une dette technique (runtime, réconciliation) et centre les compétences sur le framework plutôt que sur les fondamentaux web. L'API React est complexe, augmentant la charge cognitive et les risques de bugs, contrairement aux alternatives plus simples. L'effet de réseau crée une "prison": offres d'emploi spécifiques, inertie institutionnelle, leaders choisissant l'option "sûre". Nécessité de choisir les frameworks selon les contraintes du projet et le mérite technique, non par inertie. Les arguments courants (maturité de l'écosystème, recrutement, bibliothèques, stabilité) sont remis en question; une dépendance excessive peut devenir un fardeau. La monoculture ralentit l'évolution du web et détourne les talents, nuisant à la diversité essentielle pour un écosystème sain et innovant. Promouvoir la diversité des frameworks pour un écosystème plus résilient et innovant. WebAssembly 3 est sortie https://webassembly.org/news/2025-09-17-wasm-3.0/ Data et Intelligence Artificielle UUIDv4 ou UUIDv7 pour vos clés primaires ? Ça dépend… surtout pour les bases de données super distribuées ! https://medium.com/google-cloud/understanding-uuidv7-and-its-impact-on-cloud-spanner-b8d1a776b9f7 UUIDv4 : identifiants entièrement aléatoires. Cause des problèmes de performance dans les bases de données relationnelles (ex: PostgreSQL, MySQL, SQL Server) utilisant des index B-Tree. Inserts aléatoires réduisent l'efficacité du cache, entraînent des divisions de pages et la fragmentation. UUIDv7 : nouveau standard conçu pour résoudre ces problèmes. Intègre un horodatage (48 bits) en préfixe de l'identifiant, le rendant ordonné temporellement et "k-sortable". Améliore la performance dans les bases B-Tree en favorisant les inserts séquentiels, la localité du cache et réduisant la fragmentation. Problème de UUIDv7 pour certaines bases de données distribuées et scalables horizontalement comme Spanner : La nature séquentielle d'UUIDv7 (via l'horodatage) crée des "hotspots d'écriture" (points chauds) dans Spanner. Spanner distribue les données en "splits" (partitions) basées sur les plages de clés. Les clés séquentielles concentrent les écritures sur un seul "split". Ceci empêche Spanner de distribuer la charge et de scaler les écritures, créant un goulot d'étranglement ("anti-pattern"). Quand ce n'est PAS un problème pour Spanner : Si le taux d'écriture total est inférieur à environ 3 500 écritures/seconde pour un seul "split". Le hotspot est "bénin" à cette échelle et n'entraîne pas de dégradation de performance. Solutions pour Spanner : Principe clé : S'assurer que la première partie de la clé primaire est NON séquentielle pour distribuer les écritures. UUIDv7 peut être utilisé, mais pas comme préfixe. Nouvelle conception ("greenfield") : ▪︎ Utiliser une clé primaire non-séquentielle (ex: UUIDv4 simple). Pour les requêtes basées sur le temps, créer un index secondaire sur la colonne d'horodatage, mais le SHARDER (ex: shardId) pour éviter les hotspots sur l'index lui-même. Migration (garder UUIDv7) : ▪︎ Ajouter un préfixe de sharding : Introduire une colonne `shard` calculée (ex: `MOD(ABS(FARM_FINGERPRINT(order_id_v7)), N)`) et l'utiliser comme PREMIER élément d'une clé primaire composite (`PRIMARY KEY (shard, order_id_v7)`). Réordonner les colonnes (si clé primaire composite existante) : Si la clé primaire est déjà composite (ex: (order_id_v7, tenant_id)), réordonner en (tenant_id, order_id_v7). Cela aide si tenant_id a une cardinalité élevée et distribue bien. (Un tenant_id très actif pourrait toujours nécessiter un préfixe de sharding supplémentaire). RAG en prod, comment améliorer la pertinence des résultats https://blog.abdellatif.io/production-rag-processing-5m-documents Démarrage rapide avec Langchain + Llamaindex: prototype fonctionnel, mais résultats de production jugés "subpar" par les utilisateurs. Ce qui a amélioré la performance (par ROI): Génération de requêtes: LLM crée des requêtes sémantiques et mots-clés multiples basées sur le fil de discussion pour une meilleure couverture. Reranking: La technique la plus efficace, modifie grandement le classement des fragments (chunks). Stratégie de découpage (Chunking): Nécessite beaucoup d'efforts, compréhension des données, création de fragments logiques sans coupures. Métadonnées à l'LLM: L'injection de métadonnées (titre, auteur) améliore le contexte et les réponses. Routage de requêtes: Détecte et traite les questions non-RAG (ex: résumer, qui a écrit) via API/LLM distinct. Outillage Créer un serveur MCP (mode HTTP Streamable) avec Micronaut et quelques éléments de comparaison avec Quarkus https://glaforge.dev/posts/2025/09/16/creating-a-streamable-http-mcp-server-with-micronaut/ Micronaut propose désormais un support officiel pour le protocole MCP. Exemple : un serveur MCP pour les phases lunaires (similaire à une version Quarkus pour la comparaison). Définition des outils MCP via les annotations @Tool et @ToolArg. Point fort : Micronaut gère automatiquement la validation des entrées (ex: @NotBlank, @Pattern), éliminant la gestion manuelle des erreurs. Génération automatique de schémas JSON détaillés pour les structures d'entrée/sortie grâce à @JsonSchema. Nécessite une configuration pour exposer les schémas JSON générés comme ressources statiques. Dépendances clés : micronaut-mcp-server-java-sdk et les modules json-schema. Testé avec l'inspecteur MCP et intégration avec l'outil Gemini CLI. Micronaut offre une gestion élégante des entrées/sorties structurées grâce à son support JSON Schema riche. Un agent IA créatif : comment utiliser le modèle Nano Banana pour générer et éditer des images (en Java, avec ADK) https://glaforge.dev/posts/2025/09/22/creative-ai-agents-with-adk-and-nano-banana/ Modèles de langage (LLM) deviennent multimodaux : traitent diverses entrées (texte, images, vidéo, audio). Nano Banana (gemini-2.5-flash-image-preview) : modèle Gemini, génère et édite des images, pas seulement du texte. ADK (Agent Development Kit pour Java) : pour configurer des agents IA créatifs utilisant ce type de modèle. Application : Base pour des workflows créatifs complexes (ex: agent de marketing, enchaînement d'agents pour génération d'assets). Un vieil article (6 mois) qui illustre les problèmes du format de fichier YAML https://ruudvanasseldonk.com/2023/01/11/the-yaml-document-from-hell YAML est extrêmement complexe malgré son objectif de convivialité humaine. Spécification volumineuse et versionnée (YAML 1.1, 1.2 diffèrent significativement). Comportements imprévisibles et "pièges" (footguns) courants : Nombres sexagésimaux (ex: 22:22 parsé comme 1342 en YAML 1.1). Tags (!.git) pouvant mener à des erreurs ou à l'exécution de code arbitraire. "Problème de la Norvège" : no interprété comme false en YAML 1.1. Clés non-chaînes de caractères (on peut devenir une clé booléenne True). Nombres accidentels si non-guillemets (ex: 10.23 comme flottant). La coloration syntaxique n'est pas fiable pour détecter ces subtilités. Le templating de documents YAML est une mauvaise idée, source d'erreurs et complexe à gérer. Alternatives suggérées : TOML : Similaire à YAML mais plus sûr (chaînes toujours entre guillemets), permet les commentaires. JSON avec commentaires (utilisé par VS Code), mais moins répandu. Utiliser un sous-ensemble simple de YAML (difficile à faire respecter). Générer du JSON à partir de langages de programmation plus puissants : ▪︎ Nix : Excellent pour l'abstraction et la réutilisation de configuration. Python : Facilite la création de JSON avec commentaires et logique. Gros binz dans la communauté Ruby, avec l'influence de grosses boîtes, et des pratiques un peu douteuses https://joel.drapper.me/p/rubygems-takeover/ Méthodologies Les qualités d'une bonne documentation https://leerob.com/docs Rapidité Chargement très rapide des pages (préférer statique). Optimisation des images, polices et scripts. Recherche ultra-rapide (chargement et affichage des résultats). Lisibilité Concise, éviter le jargon technique. Optimisée pour le survol (gras, italique, listes, titres, images). Expérience utilisateur simple au départ, complexité progressive. Multiples exemples de code (copier/coller). Utilité Documenter les solutions de contournement (workarounds). Faciliter le feedback des lecteurs. Vérification automatisée des liens morts. Matériel d'apprentissage avec un curriculum structuré. Guides de migration pour les changements majeurs. Compatible IA Trafic majoritairement via les crawlers IA. Préférer cURL aux "clics", les prompts aux tutoriels. Barre latérale "Demander à l'IA" référençant la documentation. Prêt pour les agents Faciliter le copier/coller de contenu en Markdown pour les chatbots. Possibilité de visualiser les pages en Markdown (ex: via l'URL). Fichier llms.txt comme répertoire de fichiers Markdown. Finition soignée Zones de clic généreuses (boutons, barres latérales). Barres latérales conservant leur position de défilement et état déplié. Bons états actifs/survol. Images OG dynamiques. Titres/sections lienables avec ancres stables. Références et liens croisés entre guides, API, exemples. Balises méta/canoniques pour un affichage propre dans les moteurs de recherche. Localisée Pas de /en par défaut dans l'URL. Routage côté serveur pour la langue. Localisation des chaînes statiques et du contenu. Responsive Excellents menus mobiles / support Safari iOS. Info-bulles sur desktop, popovers sur mobile. Accessible Lien "ignorer la navigation" vers le contenu principal. Toutes les images avec des balises alt. Respect des paramètres système de mouvement réduit. Universelle Livrer la documentation "en tant que code" (JSDoc, package). Livrer via des plateformes comme Context7, ou dans node_modules. Fichiers de règles (ex: AGENTS.md) avec le produit. Évaluations et modèles spécifiques recommandés pour le produit. Loi, société et organisation Microsoft va imposer une politique de Return To Office https://www.businessinsider.com/microsoft-execs-explain-rto-mandate-in-internal-meeting-2025-9 Microsoft impose 3 jours de présence au bureau par semaine à partir de février 2026, débutant par la région de Seattle Le CEO Satya Nadella explique que le télétravail a affaibli les liens sociaux nécessaires à l'innovation Les dirigeants citent des données internes montrant que les employés présents au bureau "prospèrent" davantage L'équipe IA de Microsoft doit être présente 4 jours par semaine, règles plus strictes pour cette division stratégique Les employés peuvent demander des exceptions jusqu'au 19 septembre 2025 pour trajets complexes ou absence d'équipe locale Amy Coleman (RH) affirme que la collaboration en personne améliore l'énergie et les résultats, surtout à l'ère de l'IA La politique s'appliquera progressivement aux 228 000 employés dans le monde après les États-Unis Les réactions sont mitigées, certains employés critiquent la perte d'autonomie et les bureaux inadéquats Microsoft rattrape ses concurrents tech qui ont déjà imposé des retours au bureau plus stricts Cette décision intervient après 15 000 licenciements en 2025, créant des tensions avec les employés Comment Claude Code est né ? (l'histoire de sa création) https://newsletter.pragmaticengineer.com/p/how-claude-code-is-built Claude Code : outil de développement "AI-first" créé par Boris Cherny, Sid Bidasaria et Cat Wu. Performance impressionnante : 500M$ de revenus annuels, utilisation multipliée par 10 en 3 mois. Adoption interne massive : Plus de 80% des ingénieurs d'Anthropic l'utilisent quotidiennement, y compris les data scientists. Augmentation de productivité : 67% d'augmentation des Pull Requests (PR) par ingénieur malgré le doublement de l'équipe. Origine : Commande CLI simple évoluant vers un outil accédant au système de fichiers, exploitant le "product overhang" du modèle Claude. Raison du lancement public : Apprendre sur la sécurité et les capacités des modèles d'IA. Pile technologique "on distribution" : TypeScript, React (avec Ink), Yoga, Bun. Choisie car le modèle Claude est déjà très performant avec ces technologies. "Claude Code écrit 90% de son propre code" : Le modèle prend en charge la majeure partie du développement. Architecture légère : Simple "shell" autour du modèle Claude, minimisant la logique métier et le code (suppression constante de code superflu). Exécution locale : Privilégiée pour sa simplicité, sans virtualisation. Sécurité : Système de permissions granulaire demandant confirmation avant chaque action potentiellement dangereuse (ex: suppression de fichiers). Développement rapide : Jusqu'à 100 releases internes/jour, 1 release externe/jour. 5 Pull Requests/ingénieur/jour. Prototypage ultra-rapide (ex: 20+ prototypes d'une fonctionnalité en quelques heures) grâce aux agents IA. Innovation UI/UX : Redéfinit l'expérience du terminal grâce à l'interaction LLM, avec des fonctionnalités comme les sous-agents, les styles de sortie configurables, et un mode "Learning". Le 1er Café IA publique a Paris https://www.linkedin.com/pulse/my-first-caf%25C3%25A9-ia-paris-room-full-curiosity-an[…]o-goncalves-r9ble/?trackingId=%2FPHKdAimR4ah6Ep0Qbg94w%3D%3D Conférences La liste des conférences provenant de Developers Conferences Agenda/List par Aurélie Vache et contributeurs : 30-31 octobre 2025 : Agile Tour Bordeaux 2025 - Bordeaux (France) 30-31 octobre 2025 : Agile Tour Nantais 2025 - Nantes (France) 30 octobre 2025-2 novembre 2025 : PyConFR 2025 - Lyon (France) 4-7 novembre 2025 : NewCrafts 2025 - Paris (France) 5-6 novembre 2025 : Tech Show Paris - Paris (France) 5-6 novembre 2025 : Red Hat Summit: Connect Paris 2025 - Paris (France) 6 novembre 2025 : dotAI 2025 - Paris (France) 6 novembre 2025 : Agile Tour Aix-Marseille 2025 - Gardanne (France) 7 novembre 2025 : BDX I/O - Bordeaux (France) 12-14 novembre 2025 : Devoxx Morocco - Marrakech (Morocco) 13 novembre 2025 : DevFest Toulouse - Toulouse (France) 15-16 novembre 2025 : Capitole du Libre - Toulouse (France) 19 novembre 2025 : SREday Paris 2025 Q4 - Paris (France) 19-21 novembre 2025 : Agile Grenoble - Grenoble (France) 20 novembre 2025 : OVHcloud Summit - Paris (France) 21 novembre 2025 : DevFest Paris 2025 - Paris (France) 24 novembre 2025 : Forward Data & AI Conference - Paris (France) 27 novembre 2025 : DevFest Strasbourg 2025 - Strasbourg (France) 28 novembre 2025 : DevFest Lyon - Lyon (France) 1-2 décembre 2025 : Tech Rocks Summit 2025 - Paris (France) 4-5 décembre 2025 : Agile Tour Rennes - Rennes (France) 5 décembre 2025 : DevFest Dijon 2025 - Dijon (France) 9-11 décembre 2025 : APIdays Paris - Paris (France) 9-11 décembre 2025 : Green IO Paris - Paris (France) 10-11 décembre 2025 : Devops REX - Paris (France) 10-11 décembre 2025 : Open Source Experience - Paris (France) 11 décembre 2025 : Normandie.ai 2025 - Rouen (France) 14-17 janvier 2026 : SnowCamp 2026 - Grenoble (France) 29-31 janvier 2026 : Epitech Summit 2026 - Paris - Paris (France) 2-5 février 2026 : Epitech Summit 2026 - Moulins - Moulins (France) 2-6 février 2026 : Web Days Convention - Aix-en-Provence (France) 3 février 2026 : Cloud Native Days France 2026 - Paris (France) 3-4 février 2026 : Epitech Summit 2026 - Lille - Lille (France) 3-4 février 2026 : Epitech Summit 2026 - Mulhouse - Mulhouse (France) 3-4 février 2026 : Epitech Summit 2026 - Nancy - Nancy (France) 3-4 février 2026 : Epitech Summit 2026 - Nantes - Nantes (France) 3-4 février 2026 : Epitech Summit 2026 - Marseille - Marseille (France) 3-4 février 2026 : Epitech Summit 2026 - Rennes - Rennes (France) 3-4 février 2026 : Epitech Summit 2026 - Montpellier - Montpellier (France) 3-4 février 2026 : Epitech Summit 2026 - Strasbourg - Strasbourg (France) 3-4 février 2026 : Epitech Summit 2026 - Toulouse - Toulouse (France) 4-5 février 2026 : Epitech Summit 2026 - Bordeaux - Bordeaux (France) 4-5 février 2026 : Epitech Summit 2026 - Lyon - Lyon (France) 4-6 février 2026 : Epitech Summit 2026 - Nice - Nice (France) 12-13 février 2026 : Touraine Tech #26 - Tours (France) 26-27 mars 2026 : SymfonyLive Paris 2026 - Paris (France) 31 mars 2026 : ParisTestConf - Paris (France) 16-17 avril 2026 : MiXiT 2026 - Lyon (France) 22-24 avril 2026 : Devoxx France 2026 - Paris (France) 23-25 avril 2026 : Devoxx Greece - Athens (Greece) 6-7 mai 2026 : Devoxx UK 2026 - London (UK) 22 mai 2026 : AFUP Day 2026 Lille - Lille (France) 22 mai 2026 : AFUP Day 2026 Paris - Paris (France) 22 mai 2026 : AFUP Day 2026 Bordeaux - Bordeaux (France) 22 mai 2026 : AFUP Day 2026 Lyon - Lyon (France) 17 juin 2026 : Devoxx Poland - Krakow (Poland) 4 septembre 2026 : JUG Summer Camp 2026 - La Rochelle (France) 17-18 septembre 2026 : API Platform Conference 2026 - Lille (France) 5-9 octobre 2026 : Devoxx Belgium - Antwerp (Belgium) Nous contacter Pour réagir à cet épisode, venez discuter sur le groupe Google https://groups.google.com/group/lescastcodeurs Contactez-nous via X/twitter https://twitter.com/lescastcodeurs ou Bluesky https://bsky.app/profile/lescastcodeurs.com Faire un crowdcast ou une crowdquestion Soutenez Les Cast Codeurs sur Patreon https://www.patreon.com/LesCastCodeurs Tous les épisodes et toutes les infos sur https://lescastcodeurs.com/

Did you know you can buy inventory RIGHT ON AMAZON and flip it RIGHT BACK ON AMAZON? It's 100% within policy (when done properly) and there are countless ASINs (products) you can do this with profitably. Today's guest is doing this model at scale - set do to seven figures in total sales this year alone using A2A strategies - and his margins are fantastic!   Also - the course that teaches these strategies is on sale through mid-November 2025 at ProvenAmazonCourse.com/a2a   Stick around after the episode for a session with Cindy Smith from ECaccounting.com to discuss how to make sure your e-commerce accountant more than pays for themselves in saved money, time, and the discovery of untapped opportunities!   Watch this episode on our YouTube channel here: https://youtu.be/SiR7ab8eeoc   Show note LINKS:   Talk to Cindy and her team about getting your numbers straight! ECaccounting.com Proven Accounting Training - The module Cindy created inside the ProvenAmazonCourse.com training library. Learn to do it yourself the RIGHT way!   ProvenAmazonCourse.com/a2a Check out this course! Send-the-light.com The ministry Ryan spoke about in this episode!   https://www.facebook.com/groups/mysilentteam - Join 82,000 + Facebook members from around the world who are using the internet creatively every day to launch and grow multiple income streams through our exciting PROVEN strategies! There's no support community like this one anywhere else in the world!   SilentJim.com/bookacall - Schedule a FREE, customized and insightful consultation with my team or me (Jim) to discuss your e-commerce goals and options.   ProvenAmazonCourse.com - The comprehensive course that contains ALL our Amazon training modules, recorded events and a steady stream of latest cutting edge training including of course the most popular starting point, the REPLENS selling model. The PAC is updated free for life!   Today's guest: Ryan Otwell

If you already know you want to be a PA early, congrats, you're ahead of the game — now it's time to use that head start wisely. In this episode, we'll walk through exactly what to do from freshman year to build a competitive, stress-free path to PA school.

We're on the verge of the NBA season, and the guys run through what they really think of the Wolves. Is Finch the problem? Will Ant make the leap? What might their expectations be. They also try to figure out how much they really care with Carson Wentz at QB, on a packed A2a!

Sam and Scott are without Drew this week, so who knows what they'll get up to. It's their duo debut this week on what has to be a can't miss A2a!

In this episode of the Crypto 101 Podcast Bryce and Brendan host Charlie Silver, CEO and founder of Permission.AI (formerly Permission.io). The conversation dives into how AI and blockchain can reshape the internet economy by letting users own and profit from their data. Charlie shares his journey from early internet ventures to launching a Web3 company that's building “permission agents” — AI assistants that negotiate directly with advertisers on behalf of users.They discuss the future of agent-to-agent (A2A) protocols, personal data monetization, the ASK token, AI's impact on jobs, and the evolution of digital advertising toward a more transparent, user-controlled model.Check out Plus500: https://plus500.comCheck out Gemini Exchange: https://gemini.com/cardThe Gemini Credit Card is issued by WebBank. In order to qualify for the $200 crypto intro bonus, you must spend $3,000 in your first 90 days. Terms Apply. Some exclusions apply to instant rewards in which rewards are deposited when the transaction posts. This content is not investment advice and trading crypto involves risk. For more details on rates, fees, and other cost information, see Rates & Fees. The Gemini Credit Card may not be used to make gambling-related purchases.Get immediate access to my entire crypto portfolio for just $1.00 today! https://www.crypto101insider.com/cryptnation-directm6pypcy1?utm_source=Internal&utm_medium=YouTube&utm_content=Podcast&utm_term=DescriptionGet your FREE copy of "Crypto Revolution" and start making big profits from buying, selling, and trading cryptocurrency today: http://www.cryptorevolution.com/free?utm_source=Internal&utm_medium=YouTube&utm_content=Podcast&utm_term=DescriptionChapters00:00 – Intro & Charlie's background04:15 – Why he fell in love with crypto06:06 – What Permission.AI is building08:08 – How AI agents will change advertising13:39 – Turning personal data into real income17:48 – How Permission protects privacy25:33 – Will AI take our jobs?39:38 – What's next for Permission.AI & ASK tokenMERCH STOREhttps://cryptorevolutionmerch.com/Subscribe to YouTube for Exclusive Content:https://www.youtube.com/@crypto101podcast?sub_confirmation=1Follow us on social media for leading-edge crypto updates and trade alerts:https://twitter.com/Crypto101Podhttps://instagram.com/crypto_101Guest Linkshttps://x.com/PermissionIOhttps://x.com/charliehsilver*This is NOT financial, tax, or legal advice*Boardwalk Flock LLC. All Rights Reserved  ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬Fog by DIZARO https://soundcloud.com/dizarofrCreative Commons — Attribution-NoDerivs 3.0 Unported — CC BY-ND 3.0 Free Download / Stream: http://bit.ly/Fog-DIZAROMusic promoted by Audio Library https://youtu.be/lAfbjt_rmE8▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬Our Sponsors:* Check out Gemini Exchange: https://gemini.com/card* Check out Plus500: https://plus500.com* Check out Plus500: https://plus500.comAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy

From the very first episode of this podcast back in 2020, we've been focused on practical applications for AI technology, and we're starting to see these come to market with agentic tools. This episode of Utilizing Tech features Brad Shimmin, VP and Practice Lead for Data and Analytics at The Futurum Group discussing the ways AI is gaining autonomy with hosts Frederic Van Haren of HighFens and Stephen Foskett, organizer of AI Field Day. Agentic AI is all about autonomy, leveraging generative AI to perform actions on our behalf. There are many different types of agentic AI components, ranging from tools for data and analytics, connections and processes for integrating data, and end-user agents. Increasingly, model context protocol (MCP) is used to specify the capabilities and data for each of these tools, enabling them to work together as part of an agentic process. Frameworks like agent2agent (A2A) enable these components to work together. And models are becoming true platforms to serve the needs of users. Companies like OpenAI, Google, Anthropic, and Mistral are transforming their models into real agentic platforms, while Salesforce, Microsoft, Oracle, Google, and more are trying to support their business customers with Agentic AI. The Futurum Group is addressing this market with their new Signal reports, including a forthcoming one focused on agentic AI.Guest: Brad Shimmin, VP and Practice Lead, Data and Analytics at The Futurum GroupHosts: ⁠⁠⁠⁠⁠⁠Stephen Foskett⁠⁠⁠⁠⁠⁠, President of the Tech Field Day Business Unit and Organizer of the ⁠⁠⁠⁠⁠⁠Tech Field Day Event Series⁠⁠⁠⁠⁠⁠⁠Frederic Van Haren⁠⁠, Founder and CTO of HighFens, Inc. ⁠⁠Guy Currier⁠⁠, Chief Analyst at Visible Impact, The Futurum Group.For more episodes of Utilizing Tech, head to ⁠⁠⁠⁠⁠⁠the dedicated website⁠⁠⁠⁠⁠⁠ and follow the show ⁠⁠⁠⁠⁠⁠on X/Twitter⁠⁠⁠⁠⁠⁠, ⁠⁠⁠⁠⁠⁠on Bluesky⁠⁠⁠⁠⁠⁠, and ⁠⁠⁠⁠⁠⁠on Mastodon⁠⁠⁠⁠⁠⁠.

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

At Oktane 2025, leaders from across the security ecosystem shared how identity has become the new front line in protecting today's AI-driven enterprises. As SaaS adoption accelerates and AI agents proliferate, organizations face an explosion of human and non-human identities—and with it, growing risks like misconfigured access, orphaned accounts, and identity-based attacks. In this special Enterprise Security Weekly episode, we bring together insights from top experts: Dor Fledel (Okta) explains how teams can gain visibility into AI agents, uncover risks, and enforce appropriate access controls. Alexander Makarov (Adyen) shares how a global fintech unified and streamlined identity with Okta, improving both security and employee experience across 200+ countries. Aaron Parecki (Okta) highlights the importance of open standards—like IPSIE, MCP, and A2A—for building secure, interoperable AI ecosystems and centralized control over AI-driven interactions. Heather Ceylan (Box) discusses how Box embeds AI into workflows to enhance data protection, even for highly regulated industries. Matt Immler (Okta) offers lessons from the field on strengthening defenses with behavioral monitoring, automation, and a security-first culture to counter attackers who now “log in” instead of hacking in. Nitin Raina (Thoughtworks) warns about AI-driven social engineering—from deepfakes to multi-channel phishing—and shares practical strategies like phishing-resistant MFA, zero-trust architecture, and better employee training. From open standards to privileged access management and AI-powered defense, these Oktane 2025 conversations explore how identity-driven strategies are shaping the future of enterprise security. Segment Resources: https://www.okta.com/newsroom/articles/old-security-challenges--new-ai-risks--managing-authorization-in https://www.okta.com/newsroom/press-releases/okta-introduces-cross-app-access-to-help-secure-ai-agents-in-the/ https://www.okta.com/blog/ai/securing-the-ai-agent-ecosystem/ https://www.okta.com/customers/adyen/ https://www.okta.com/newsroom/?sort=featured&filters=okta%3Acategories%2Fidentity-security https://www.okta.com/customers/thoughtworks/ This segment is sponsored by Oktane by Okta. Visit https://securityweekly.com/oktane to learn more about them! Visit https://www.securityweekly.com/esw for all the latest episodes! Show Notes: https://securityweekly.com/esw-427

At Oktane 2025, leaders from across the security ecosystem shared how identity has become the new front line in protecting today's AI-driven enterprises. As SaaS adoption accelerates and AI agents proliferate, organizations face an explosion of human and non-human identities—and with it, growing risks like misconfigured access, orphaned accounts, and identity-based attacks. In this special Enterprise Security Weekly episode, we bring together insights from top experts: Dor Fledel (Okta) explains how teams can gain visibility into AI agents, uncover risks, and enforce appropriate access controls. Alexander Makarov (Adyen) shares how a global fintech unified and streamlined identity with Okta, improving both security and employee experience across 200+ countries. Aaron Parecki (Okta) highlights the importance of open standards—like IPSIE, MCP, and A2A—for building secure, interoperable AI ecosystems and centralized control over AI-driven interactions. Heather Ceylan (Box) discusses how Box embeds AI into workflows to enhance data protection, even for highly regulated industries. Matt Immler (Okta) offers lessons from the field on strengthening defenses with behavioral monitoring, automation, and a security-first culture to counter attackers who now “log in” instead of hacking in. Nitin Raina (Thoughtworks) warns about AI-driven social engineering—from deepfakes to multi-channel phishing—and shares practical strategies like phishing-resistant MFA, zero-trust architecture, and better employee training. From open standards to privileged access management and AI-powered defense, these Oktane 2025 conversations explore how identity-driven strategies are shaping the future of enterprise security. Segment Resources: https://www.okta.com/newsroom/articles/old-security-challenges--new-ai-risks--managing-authorization-in https://www.okta.com/newsroom/press-releases/okta-introduces-cross-app-access-to-help-secure-ai-agents-in-the/ https://www.okta.com/blog/ai/securing-the-ai-agent-ecosystem/ https://www.okta.com/customers/adyen/ https://www.okta.com/newsroom/?sort=featured&filters=okta%3Acategories%2Fidentity-security https://www.okta.com/customers/thoughtworks/ This segment is sponsored by Oktane by Okta. Visit https://securityweekly.com/oktane to learn more about them! Visit https://www.securityweekly.com/esw for all the latest episodes! Show Notes: https://securityweekly.com/esw-427

At Oktane 2025, leaders from across the security ecosystem shared how identity has become the new front line in protecting today's AI-driven enterprises. As SaaS adoption accelerates and AI agents proliferate, organizations face an explosion of human and non-human identities—and with it, growing risks like misconfigured access, orphaned accounts, and identity-based attacks. In this special Enterprise Security Weekly episode, we bring together insights from top experts: Dor Fledel (Okta) explains how teams can gain visibility into AI agents, uncover risks, and enforce appropriate access controls. Alexander Makarov (Adyen) shares how a global fintech unified and streamlined identity with Okta, improving both security and employee experience across 200+ countries. Aaron Parecki (Okta) highlights the importance of open standards—like IPSIE, MCP, and A2A—for building secure, interoperable AI ecosystems and centralized control over AI-driven interactions. Heather Ceylan (Box) discusses how Box embeds AI into workflows to enhance data protection, even for highly regulated industries. Matt Immler (Okta) offers lessons from the field on strengthening defenses with behavioral monitoring, automation, and a security-first culture to counter attackers who now “log in” instead of hacking in. Nitin Raina (Thoughtworks) warns about AI-driven social engineering—from deepfakes to multi-channel phishing—and shares practical strategies like phishing-resistant MFA, zero-trust architecture, and better employee training. From open standards to privileged access management and AI-powered defense, these Oktane 2025 conversations explore how identity-driven strategies are shaping the future of enterprise security. Segment Resources: https://www.okta.com/newsroom/articles/old-security-challenges--new-ai-risks--managing-authorization-in https://www.okta.com/newsroom/press-releases/okta-introduces-cross-app-access-to-help-secure-ai-agents-in-the/ https://www.okta.com/blog/ai/securing-the-ai-agent-ecosystem/ https://www.okta.com/customers/adyen/ https://www.okta.com/newsroom/?sort=featured&filters=okta%3Acategories%2Fidentity-security https://www.okta.com/customers/thoughtworks/ This segment is sponsored by Oktane by Okta. Visit https://securityweekly.com/oktane to learn more about them! Show Notes: https://securityweekly.com/esw-427

At Oktane 2025, leaders from across the security ecosystem shared how identity has become the new front line in protecting today's AI-driven enterprises. As SaaS adoption accelerates and AI agents proliferate, organizations face an explosion of human and non-human identities—and with it, growing risks like misconfigured access, orphaned accounts, and identity-based attacks. In this special Enterprise Security Weekly episode, we bring together insights from top experts: Dor Fledel (Okta) explains how teams can gain visibility into AI agents, uncover risks, and enforce appropriate access controls. Alexander Makarov (Adyen) shares how a global fintech unified and streamlined identity with Okta, improving both security and employee experience across 200+ countries. Aaron Parecki (Okta) highlights the importance of open standards—like IPSIE, MCP, and A2A—for building secure, interoperable AI ecosystems and centralized control over AI-driven interactions. Heather Ceylan (Box) discusses how Box embeds AI into workflows to enhance data protection, even for highly regulated industries. Matt Immler (Okta) offers lessons from the field on strengthening defenses with behavioral monitoring, automation, and a security-first culture to counter attackers who now "log in" instead of hacking in. Nitin Raina (Thoughtworks) warns about AI-driven social engineering—from deepfakes to multi-channel phishing—and shares practical strategies like phishing-resistant MFA, zero-trust architecture, and better employee training. From open standards to privileged access management and AI-powered defense, these Oktane 2025 conversations explore how identity-driven strategies are shaping the future of enterprise security. Segment Resources: https://www.okta.com/newsroom/articles/old-security-challenges--new-ai-risks--managing-authorization-in https://www.okta.com/newsroom/press-releases/okta-introduces-cross-app-access-to-help-secure-ai-agents-in-the/ https://www.okta.com/blog/ai/securing-the-ai-agent-ecosystem/ https://www.okta.com/customers/adyen/ https://www.okta.com/newsroom/?sort=featured&filters=okta%3Acategories%2Fidentity-security https://www.okta.com/customers/thoughtworks/ This segment is sponsored by Oktane by Okta. Visit https://securityweekly.com/oktane to learn more about them! Show Notes: https://securityweekly.com/esw-427

A disappointing loss in Dublin for the Vikings, but does any of it matter when Carson Wentz is your QB? Speaking of QBs, how good can Drake Lindsey be for the Gophers this year and beyond? All that, your weekly DWTS breakdown, and so much more on this week's A2a.

The agentic AI space faces challenges around secure, governed connectivity between agents, tools, large language models, and microservices. To address this, Solo.io developed two open-source projects: Kagent and Agentgateway. While Kagent, donated to the Cloud Native Computing Foundation, helps scale AI agents, it lacks a secure way to mediate communication between agents and tools. Enter Agentgateway, donated to the Linux Foundation, which provides governance, observability, and security for agent-to-agent and agent-to-tool traffic. Written in Rust, it supports protocols like MCP and A2A and integrates with Kubernetes Gateway API and inference gateways.Lin Sun, Solo.io's head of open source, explained that Agentgateway allows developers to control which tools agents can access—offering flexibility to expose only tested or approved tools. This enables fine-grained policy enforcement and resilience in agent communication, similar to how service meshes manage microservice traffic. Agentgateway ensures secure and selective tool exposure, supporting scalable and secure agent ecosystems. Major players like AWS and Microsoft are also engaging in its development.Learn more from The New Stack about the latest in open source projects like Agentgateway: Learn more from The New Stack about the latest in open source projects like Agentgateway: Why Tech Giants Are Backing the New Agentgateway Project AI Agents Are Creating a New Security Nightmare for Enterprises and Startups Five Steps to Build AI Agents that Actually Deliver Business Results Join our community of newsletter subscribers to stay on top of the news and at the top of your game.  Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Nel settore legale stanno nascendo in tutto il mondo soluzioni basate su intelligenza artificiale generativa che puntano a semplificare e velocizzare l’attività degli avvocati: dalla ricerca normativa alla redazione di atti, fino al supporto strategico nella consulenza. Lexroom è stata la prima startup italiana del settore e, a 2 anni dalla nascita, annuncia un finanziamento da 16 milioni di euro. Enrico Pagliarini ne parla con Paolo Fois, CEO della società e uno dei fondatori.Parliamo poi dell’importanza per il sistema dell’innovazione dei Venture Capital e dell’impegno delle imprese negli investimenti in start up. A2A ha lanciato la propria società (A2A Life Ventures) che investirà in aziende innovative nei settori che ruotano attorno al Cimate Tech. “Abbiamo già investito negli ultimi 5 anni 80 milioni di euro” spiega a Radio24 Renato Mazzoncini, Amministratore Delegato di A2A.Con Luca Mari, docente all’Università Liuc di Castellanza ed esperto di IA spieghiamo come fare per installare sul proprio computer un modello di intelligenza artificiale open source e perché farlo.E come sempre in Digital News le notizie di innovazione e tecnologia più importanti della settimana.

Today on The Breakdown, NLW explores Google's announcement of AP2, a new open-source payments standard that lets AI agents transact securely. Built with Coinbase and more than 60 partners, AP2 integrates with agent standards like MCP and A2A to enable shopping agents, verifiable purchase mandates, and potential blockchain rails. Is this the first real bridge between crypto and AI agents? Plus, updates on UK–US crypto policy coordination, the Bitcoin Strategic Reserve, and why ETF approvals could set up an end-of-year rally. Enjoying this content? SUBSCRIBE to the Podcast: https://pod.link/1438693620 Watch on YouTube: https://www.youtube.com/@TheBreakdownBW Subscribe to the newsletter: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://blockworks.co/newsletter/thebreakdown⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Join the discussion: https://discord.gg/VrKRrfKCz8 Follow on Twitter: NLW: https://twitter.com/nlw Breakdown: https://twitter.com/BreakdownBW

Want our guide to master AI Agents? Get it here: https://clickhubspot.com/bka Episode 76: What actually makes something a real "AI Agent"—and how close are we to AI handling complex work entirely on its own? Matt Wolfe (https://x.com/mreflow) is joined by Deepak Singh (https://x.com/mndoci), Vice President at AWS and leader of Amazon's Agentic AI infrastructure teams. With over 17 years at Amazon and a PhD in theoretical chemistry, Deepak brings unparalleled insights into the development and future of AI agents, from early neural networks to today's autonomous multi-agent systems. In this episode, the conversation breaks down the hype vs. reality of AI agents. Deepak shares how AWS is pioneering true agentic AI—systems that use LLM-powered reasoning, autonomy, and reflection to tackle everything from Formula One race analytics to massive code migrations and breakthrough drug discovery. You'll also learn how even small businesses can start leveraging agentic tools today, the rise of new agent standards like MCP and A2A, and why skills in articulating and breaking down problems are more valuable than ever for future-proofing your career. Check out The Next Wave YouTube Channel if you want to see Matt and Nathan on screen: https://lnk.to/thenextwavepd — Show Notes: (00:00) AI Agents: Transforming Industries (03:58) Generative AI's Everyday Impact (06:39) Generative AI's Creative Potential (12:30) Autonomy in Software Development Agents (14:58) Agentic AI's Evolving Impact (19:26) Iterative Agent Decision-Making (21:53) Agent Core: Future of Agent Identity (23:15) Lower Barriers, Autonomous Agents (28:20) Ensuring Safe and Accurate Outputs (31:42) MCP: Standardizing LLM Tool Access (34:39) Real-World AI Applications for Business (36:50) Efficient Call Response Systems (42:31) Effective Problem Solving with LLMs (43:48) AI Skills Over Programming Language (47:30) AI Agents Revolutionizing Work — Mentions: Deepak Singh: https://www.linkedin.com/in/dsingh/ Amazon Web Services (AWS): https://aws.amazon.com/ Amazon Bedrock: https://aws.amazon.com/bedrock/ Kiro: https://kiro.dev/ Perplexity: https://www.perplexity.ai/ Zapier: https://zapier.com/ Make.com: https://www.make.com/en Get the guide to build your own Custom GPT: https://clickhubspot.com/tnw — Check Out Matt's Stuff: • Future Tools - https://futuretools.beehiiv.com/ • Blog - https://www.mattwolfe.com/ • YouTube- https://www.youtube.com/@mreflow — Check Out Nathan's Stuff: Newsletter: https://news.lore.com/ Blog - https://lore.com/ The Next Wave is a HubSpot Original Podcast // Brought to you by Hubspot Media // Production by Darren Clarke // Editing by Ezra Bakker Trupiano

MIT's ‘95% of AI pilots fail' headline is a litmus test: will people think critically, or just swallow clickbait?Unfortunately, the latter won.The MIT '95 % of AI pilots fail' study has taken over the internet, and it's one of the worst studies I've ever read. (And I've read thousands.) ↳ So, what's the truth?↳ Is AI a bubble that's about to pop? ↳ Why is this study rubbish? ↳ And how does it impact you? Don't miss out.Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Thoughts on this? Join the convo and connect with other AI leaders on LinkedIn.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:MIT AI Study Claims 95% Failure RateBreakdown of MIT Study MethodologyImpact of Viral MIT AI Study HeadlinesFlaws in MIT Study ROI MeasurementComparison With Reputable AI ROI StudiesMIT Study's Biased Participant SelectionNanda Project Marketing in MIT ReportFive Major Red Flags in MIT AI ResearchBusiness Implications of Flawed AI Pilots DataHow Media Sensationalizes AI Study ResultsTimestamps:00:00 "MIT AI Study Critique"04:16 AI Investments Trigger Stock Market Decline06:37 "Host's Background Overview"10:58 Flawed AI Study Critique13:28 MIT Study Highlights AI Implementation Challenges18:58 AI Work Trends & ROI Insights20:17 "Crossing the Gen AI Divide"23:25 Flawed Study with Misleading Claims29:34 "Uncritical Reposting Spurs Fake Study"30:30 "Read Studies, Not Summaries"Keywords:MIT AI study, 95% AI pilot failure, enterprise AI pilots, generative AI ROI, AI pilot success rate, AI project failure, state of AI in business, gen AI divide, MIT Media Lab, AI investment, AI implementation challenges, AI return on investment, AI research methodology, AI study critique, AI marketing, Nanda project, AI vendor solutions, agentic web, MCP protocol, A2A protocol, Fortune article, AI media coverage, stock market impact, NVIDIA stock drop, Palantir, ARM stock, qualitative AI data, AI structured interviews, AI industry surveys, IDC AI research, Snowflake ESG report, McKinsey AI analysis, Microsoft Work Trend Index, Boston Consulting Group AI study, AI adoption rates, enterprise AI transformation, sample size in AI studies, research limitations, AI productivity impact, AI workflow automation, AI business decisions, AI bubble, AI reporting in media, AI pilot timeline, enterprise AI tools, AI agent capabilities, AI autonomy, custom AI solutions, AI study bias, marketing disguised as research, sensationalized AI studies.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Ready for ROI on GenAI? Go to youreverydayai.com/partner

We have made it through the dog days and NFL Kickoff is here! The guys break down a murky fantasy outlook and try to predict what this season will have in store. Plot twist - they're probably wrong. Come join us for a packed A2a you don't want to miss.

A panel discussion with AI industry leaders revealing how enterprises are scaling AI today, with predictions on coming breakthroughs for AI and the impact on Fortune 500 companies and beyond.Topics Include:Three technical leaders discuss production challenges: security, interoperability, and scaling agentic systemsPanelists represent Enkrypt (security), Anyscale (infrastructure), and CrewAI (agent orchestration platforms)Industry moving from flashy demos to dependable agents with real business outcomesBreakthrough examples include 70-page IRS form processing and multimodal workflow automationMultimodal data integration becoming crucial - incorporating video, audio, screenshots into decisionsLess than 10% of future applications expected to be text-onlyCompanies shifting from experimenting with individual models to deploying agent networksNeed for governance frameworks as enterprises scale to hundreds of agentsGrowing software stack complexity requires specialized infrastructure between applications and GPUsSecurity teams need centralized visibility across fragmented agent deployments across enterprisesExisting industry regulations apply to AI services - no special AI laws neededInteroperability standards debate: MCP gaining adoption while A2A seems premature solutionMCP shows higher API reliability than OpenAI tool calling for implementationsMultimodal systems more vulnerable to attacks but value proposition too high ignoreFortune 500 company automated price operations approval process using 630 brands data87% of enterprise customers deploy agents in private VPCs or on-premises infrastructureSpecialized AI systems needed to oversee other agents at machine speed scalesCost optimization through model specialization rather than always using most powerful modelsFuture learning may happen through context/prompting rather than traditional weight fine-tuningPredictions include AI meeting moderators and agents working autonomously for hoursParticipants:Robert Nishihara - Co-founder, AnyscaleJoão Moura - CEO, CrewAISahil Agarwal - Co-Founder & CEO, Enkrypt AIJillian D'Arcy - Sr. ISV Sales Leader, Amazon Web ServicesFurther Links:Anyscale – Website | LinkedIn | AWS MarketplaceCrewAI - Website | LinkedIn | AWS MarketplaceEnkrypt AI - Website | LinkedIn | AWS MarketplaceSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

Confused about the difference between PAs, NPs, and MD/DOs? In this episode, we break down education, training, scope of practice, lifestyle, and salary. You'll also learn how to answer common PA school interview questions like, “Why PA vs NP vs MD/DO?” and “What is the medical model?”____________________________________________Application to Acceptance NOW ENROLLING!! (Coaching starts September 15 so you're ready to submit by Oct 1) Create your most competitive application in Application to Acceptance Course - where we walk you step-by-step in creating your strongest, most competitive PA school application! From picking the right schools who will love your stats (even with a low GPA), to crafting an exceptional personal statement and experience paragraphs, and so much more, A2A has helped countless pre-PAs get accepted to PA school! Whether you want to apply now or next cycle, this course will show you exactly how to put together your best CASPA application so you can land PA school interviews and get accepted to PA school! We walk you through every step here!Keep up the amazing work future PA!Katie & Beth

Learn how Saul is able to find over $50,000 a month in profitable Amazon to Amazon Flips.♻️ Learn More About Amazon to Amazon Flips Here - https://www.oachallenge.com/az-az-flips-challenge/➕ Join OAC+ - The premier community for Amazon sellers looking to grow their business and become better business owners: https://www.oachallenge.com/plus

You got duped.The MIT '95 % of AI pilots fail' study has taken over the internet, and it's one of the worst studies I've ever read. (And I've read thousands.) ↳ So, what's the truth?↳ Is AI a bubble that's about to pop? ↳ Why is this study rubbish? ↳ And how does it impact you? Join us and we'll dish it all.Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Thoughts on this? Join the convo and connect with other AI leaders on LinkedIn.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:MIT AI Study Claims 95% Failure RateBreakdown of MIT Study MethodologyImpact of Viral MIT AI Study HeadlinesFlaws in MIT Study ROI MeasurementComparison With Reputable AI ROI StudiesMIT Study's Biased Participant SelectionNanda Project Marketing in MIT ReportFive Major Red Flags in MIT AI ResearchBusiness Implications of Flawed AI Pilots DataHow Media Sensationalizes AI Study ResultsTimestamps:00:00 "MIT AI Study Critique"04:16 AI Investments Trigger Stock Market Decline06:37 "Host's Background Overview"10:58 Flawed AI Study Critique13:28 MIT Study Highlights AI Implementation Challenges18:58 AI Work Trends & ROI Insights20:17 "Crossing the Gen AI Divide"23:25 Flawed Study with Misleading Claims29:34 "Uncritical Reposting Spurs Fake Study"30:30 "Read Studies, Not Summaries"Keywords:MIT AI study, 95% AI pilot failure, enterprise AI pilots, generative AI ROI, AI pilot success rate, AI project failure, state of AI in business, gen AI divide, MIT Media Lab, AI investment, AI implementation challenges, AI return on investment, AI research methodology, AI study critique, AI marketing, Nanda project, AI vendor solutions, agentic web, MCP protocol, A2A protocol, Fortune article, AI media coverage, stock market impact, NVIDIA stock drop, Palantir, ARM stock, qualitative AI data, AI structured interviews, AI industry surveys, IDC AI research, Snowflake ESG report, McKinsey AI analysis, Microsoft Work Trend Index, Boston Consulting Group AI study, AI adoption rates, enterprise AI transformation, sample size in AI studies, research limitations, AI productivity impact, AI workflow automation, AI business decisions, AI bubble, AI reporting in media, AI pilot timeline, enterprise AI tools, AI agent capabilities, AI autonomy, custom AI solutions, AI study bias, marketing disguised as research, sensationalized AI studies.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Ready for ROI on GenAI? Go to youreverydayai.com/partner

In this episode of This New Way, Aydin sits down with Ali Pourshahid, Chief Engineering Officer at Solace, to explore how he's woven AI into his daily routines as a technology executive. Ali shares real demos of how he uses Solace's Agent Mesh and other AI tools to:Generate security-focused slide decks from Confluence in minutesSchedule a 12-person leadership offsite without lifting a fingerTransform messy Word reports into polished heat maps for government updatesAutomate customer support workflows across Jira, CRM, and internal systemsAli also breaks down how Solace is productizing their internal AI system, why agent-to-agent communication (A2A) is critical, and how to build a culture of experimentation with “AI champions” inside your company.This is a masterclass in how executives can stop just “keeping up” with AI—and instead lead the charge.Timestamps0:58 – What is Solace and Ali's role as Head of Engineering2:09 – Ali's daily “AI deep hour” and why he treats it like a workout3:19 – Prepping for a customer security call with AI + Confluence5:14 – Auto-generated sequence diagrams and value slides in minutes9:48 – Using Microsoft Copilot to instantly format professional slides13:35 – AI as an executive assistant: scheduling a 12-person workshop17:01 – Turning unstructured Word reports into project heat maps20:07 – Building an AI champions group and lightning talks at Solace25:05 – Solace Agent Mesh: event-driven architecture for agents29:01 – Live demo: Automating Jira support tickets with agent workflows33:33 – Scaling digital employees with orchestrator agents37:08 – Why evals are critical for testing and deploying AI agents39:05 – Ali's habit: always ask “How can I do this better with AI?”40:08 – What excites Ali most about AI in the next yearTools & Technologies Mentioned:Solace Agent Mesh – Multi-agent orchestration platform built by SolaceConfluence – Wiki where AI pulls technical details for slide prepClaude & ChatGPT – LLMs used for connecting to internal toolsMCP (Model Context Protocol) – Framework for securely connecting AI to enterprise dataMicrosoft Copilot – AI inside PowerPoint, Excel, and other Office toolsMermaid – Visualization tool for generating diagrams and heat mapsA2A Protocol (Agent-to-Agent) – Open standard for agent communication donated by GoogleSubscribe at⁠ thisnewway.com⁠ to get the step-by-step playbooks, tools, and workflows.

Interview with Harish Peri from Okta Oktane Preview: building frameworks to secure our Agentic AI future Like it or not, Agentic AI and protocols like MCP and A2A are getting pushed as the glue to take business process automation to the next level. Giving agents the power and access they need to accomplish these lofty goals is going to be challenging, from a security perspective. How do put AI agents in the position to perform broad tasks autonomously without granting them all the privileges? How do we avoid making AI agents a gold mine for attackers - the first place they stop once they hack into our companies? These are some examples of the questions Okta aims to answer at this year's Oktane event, and we aim to kick off the conversations a little early - with this interview! Segment Resources: Check out securityweekly.com/oktane for all our live coverage during the event this year! More information about the event and how you can attend can be found here: https://www.okta.com/oktane/ AI at Work 2025: Securing the AI-powered workforce Topic - Indirect Prompt Injection Getting Out of Hand Reports of indirect prompt injection issues have been around for a while. Of particular note was Michael Bargury's Living off Microsoft Copilot presentation from Black Hat USA 2024. Simply sending an email to a Copilot user could make bad stuff happen. Now, at Black Hat 2025, we've got more: the ability to plunder any data resource connected to ChatGPT (they call these integrations "Connectors") from Tamir Ishay Sharbat at Zenity Labs. The research is titled AgentFlayer: ChatGPT Connectors 0click Attack. Looks like Google Jules is also vulnerable to what the Embrace the Red blog is calling invisible prompts. Sourcegraph's Amp Code is also vulnerable to the same attack, which encodes instructions to make them invisible. What's really going to ruffle feathers is the fact that all these companies know this stuff is possible, but don't seem to be able to figure out how to prevent it. Ideally, we'd want to be able to distinguish between intended instruction and instructions injected via attachments or some other means outside of the prompt box. I guess that's easier said than done? News Finally, in the enterprise security news, Drones are coming for you… to help? One of the most powerful botnets ever goes down Phishing training is still pointless Microsoft sets an alarm on its phone for 8 years from now to do post-quantum stuff vulns galore in commercial ZTNA apps GenAI projects are struggling to make it to production Adblockers could be made illegal - in Germany Windows is getting native Agentic support Automating bug discovery AND remediation? Public service announcement: time is running out for Windows 10 All that and more, on this episode of Enterprise Security Weekly. Visit https://www.securityweekly.com/esw for all the latest episodes! Show Notes: https://securityweekly.com/esw-421

Interview with Harish Peri from Okta Oktane Preview: building frameworks to secure our Agentic AI future Like it or not, Agentic AI and protocols like MCP and A2A are getting pushed as the glue to take business process automation to the next level. Giving agents the power and access they need to accomplish these lofty goals is going to be challenging, from a security perspective. How do put AI agents in the position to perform broad tasks autonomously without granting them all the privileges? How do we avoid making AI agents a gold mine for attackers - the first place they stop once they hack into our companies? These are some examples of the questions Okta aims to answer at this year's Oktane event, and we aim to kick off the conversations a little early - with this interview! Segment Resources: Check out securityweekly.com/oktane for all our live coverage during the event this year! More information about the event and how you can attend can be found here: https://www.okta.com/oktane/ AI at Work 2025: Securing the AI-powered workforce Topic - Indirect Prompt Injection Getting Out of Hand Reports of indirect prompt injection issues have been around for a while. Of particular note was Michael Bargury's Living off Microsoft Copilot presentation from Black Hat USA 2024. Simply sending an email to a Copilot user could make bad stuff happen. Now, at Black Hat 2025, we've got more: the ability to plunder any data resource connected to ChatGPT (they call these integrations "Connectors") from Tamir Ishay Sharbat at Zenity Labs. The research is titled AgentFlayer: ChatGPT Connectors 0click Attack. Looks like Google Jules is also vulnerable to what the Embrace the Red blog is calling invisible prompts. Sourcegraph's Amp Code is also vulnerable to the same attack, which encodes instructions to make them invisible. What's really going to ruffle feathers is the fact that all these companies know this stuff is possible, but don't seem to be able to figure out how to prevent it. Ideally, we'd want to be able to distinguish between intended instruction and instructions injected via attachments or some other means outside of the prompt box. I guess that's easier said than done? News Finally, in the enterprise security news, Drones are coming for you… to help? One of the most powerful botnets ever goes down Phishing training is still pointless Microsoft sets an alarm on its phone for 8 years from now to do post-quantum stuff vulns galore in commercial ZTNA apps GenAI projects are struggling to make it to production Adblockers could be made illegal - in Germany Windows is getting native Agentic support Automating bug discovery AND remediation? Public service announcement: time is running out for Windows 10 All that and more, on this episode of Enterprise Security Weekly. Visit https://www.securityweekly.com/esw for all the latest episodes! Show Notes: https://securityweekly.com/esw-421

Interview with Harish Peri from Okta Oktane Preview: building frameworks to secure our Agentic AI future Like it or not, Agentic AI and protocols like MCP and A2A are getting pushed as the glue to take business process automation to the next level. Giving agents the power and access they need to accomplish these lofty goals is going to be challenging, from a security perspective. How do put AI agents in the position to perform broad tasks autonomously without granting them all the privileges? How do we avoid making AI agents a gold mine for attackers - the first place they stop once they hack into our companies? These are some examples of the questions Okta aims to answer at this year's Oktane event, and we aim to kick off the conversations a little early - with this interview! Segment Resources: Check out securityweekly.com/oktane for all our live coverage during the event this year! More information about the event and how you can attend can be found here: https://www.okta.com/oktane/ AI at Work 2025: Securing the AI-powered workforce Topic - Indirect Prompt Injection Getting Out of Hand Reports of indirect prompt injection issues have been around for a while. Of particular note was Michael Bargury's Living off Microsoft Copilot presentation from Black Hat USA 2024. Simply sending an email to a Copilot user could make bad stuff happen. Now, at Black Hat 2025, we've got more: the ability to plunder any data resource connected to ChatGPT (they call these integrations "Connectors") from Tamir Ishay Sharbat at Zenity Labs. The research is titled AgentFlayer: ChatGPT Connectors 0click Attack. Looks like Google Jules is also vulnerable to what the Embrace the Red blog is calling invisible prompts. Sourcegraph's Amp Code is also vulnerable to the same attack, which encodes instructions to make them invisible. What's really going to ruffle feathers is the fact that all these companies know this stuff is possible, but don't seem to be able to figure out how to prevent it. Ideally, we'd want to be able to distinguish between intended instruction and instructions injected via attachments or some other means outside of the prompt box. I guess that's easier said than done? News Finally, in the enterprise security news, Drones are coming for you… to help? One of the most powerful botnets ever goes down Phishing training is still pointless Microsoft sets an alarm on its phone for 8 years from now to do post-quantum stuff vulns galore in commercial ZTNA apps GenAI projects are struggling to make it to production Adblockers could be made illegal - in Germany Windows is getting native Agentic support Automating bug discovery AND remediation? Public service announcement: time is running out for Windows 10 All that and more, on this episode of Enterprise Security Weekly. Show Notes: https://securityweekly.com/esw-421

Haven't hit “submit” on your CASPA yet? In this episode, we walk you through exactly what to focus on right now so you can finish strong, avoid last-minute mistakes, and get your application in ASAP.

Well, the Twins are off the market. The Pohlads took on some extra money but didn't actually sell the team. The guys break down what that really means, other than probably more trades on the horizon. All that, some brief Vikings preseason chatter, and so much more on this week's A2a!

Wondering if you need to retake your prerequisite courses for PA school? In this episode, we break down exactly when retaking a prerequisite course will help your PA school application—and when it's just not worth your time or money.___________________________________

The Twins had a fire sale, trading 40% of their roster. Was it fire good, or fire bad? Come find out what the guys think and you might be surprised. Plus, come find out what the JJ McCarthy drama is all about! All that and more on this week's A2a.

This episode is sponsored by Natoma. Visit https://www.natoma.id/ to learn more.Join Jeff from the IDAC Podcast as he dives into a deep conversation with Paresh Bhaya, the co-founder of Natoma. In this sponsored episode, Paresh shares his journey into the identity space, discusses how Natoma helps enterprises accelerate AI adoption without compromising security, and provides insights into the rising importance of MCP and A2A protocols. Learn about the challenges and opportunities at the intersection of AI and security, the importance of dynamic access controls, and the significance of ensuring proper authentication and authorization in the growing world of agentic AI. Paresh also delights us with his memorable hike up Mount Whitney. Don't miss out!00:00 Introduction and Sponsor Announcement00:34 Guest Introduction: Paresh Bhaya from Natoma01:14 Paresh's Journey into Identity04:04 Natoma's Mission and AI Security06:25 The Story Behind Natoma's Name09:29 Natoma's Unique Approach to AI Security18:32 Understanding MCP and A2A Protocols25:20 Community Development and Adoption25:56 Agent Interactions and Security Challenges27:19 Navigating Product Development29:17 Ensuring Secure Connections36:10 Deploying and Managing MCP Servers42:40 Shadow AI and Governance44:17 Personal Anecdotes and ConclusionConnect with Paresh: https://www.linkedin.com/in/paresh-bhaya/Learn more about Natoma: https://www.natoma.id/Connect with us on LinkedIn:Jim McDonald: https://www.linkedin.com/in/jimmcdonaldpmp/Jeff Steadman: https://www.linkedin.com/in/jeffsteadman/Visit the show on the web at idacpodcast.comKeywords:IDAC, Identity at the Center, Jeff Steadman, Jim McDonald, Natoma, Paresh Bhaya, Artificial Intelligence, AI, AI Security, Identity and Access Management, IAM, Enterprise Security, AI Adoption, Technology, Innovation, Cybersecurity, Machine Learning, AI Risks, Secure AI, #idac

LLMs are so yesteryear. The next wave? Agentic browsers. While we're all rushing to bring personalization, company files and more into front-end large language models, agentic browsers have been quietly staking their claim as the next big thing in AI. We explain why.Try Gemini 2.5 Flash! Sign up at  AIStudio.google.com to get started. Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Thoughts on this? Join the convo and connect with other AI leaders on LinkedIn.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:Agentic AI Browsers vs. Chatbots OverviewFive Advantages of Agentic AI BrowsersPerplexity Comet Agentic Browser Case StudyOpenAI ChatGPT Agent and Virtual BrowserMicrosoft Edge Copilot Vision Agentic FeaturesGoogle Project Mariner and Gemini UpdatesStartup Agentic Browsers: Fellow, Opera Neon, DIALogged-In State and Workflow AutomationFuture Trends: Agentic Browser Momentum AnalysisTimestamps:05:10 Unlearning for AI-driven Work09:54 Agentic Browsers: Enhanced Context Utilization10:54 "AI Communication Simplified with MCP"15:28 "Hybrid AI's On-Device Speed"18:10 AI Browser Evolution22:40 Google Project Mariner Overview27:30 Streamlining Analytics with Agentic Browsers30:31 Agentic AI in Browsers32:08 Agentic AI's Rapid EvolutionKeywords:Agentic AI, agentic browsers, agentic AI browser, AI in the browser, agentic workflows, large language models, LLMs, front end chatbots, AI chatbot, Perplexity Comet, virtual browser, browser automation, AI-powered browsers, Google Gemini, ChatGPT agent, OpenAI virtual computer, model context protocol, MCP, agentic workflows, A2A protocol, hybrid AI architecture, Chromium-based browser, Microsoft Edge, Copilot Vision, Project Mariner, teach a task mode, Gemini assistant, logged in content, richer context, task automation, cross-site task automation, multi-step task automation, browser memory, shadow windows, Eco framework, natural language agentic workflows, JavaScript agentic workflows, Neon Opera browser, contextual AI, offline AI tasks, cloud browser, Manus AI, multi-agent architecture, browser cookies, contextual assistance, prompt engineering, personalized AI browser experience, task completion AI, web automation, business workflow automation, 2025 agentic browser predictions, virtual desktops.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)

Today, we're joined by Vijoy Pandey, SVP and general manager at Outshift by Cisco to discuss a foundational challenge for the enterprise: how do we make specialized agents from different vendors collaborate effectively? As companies like Salesforce, Workday, and Microsoft all develop their own agentic systems, integrating them creates a complex, probabilistic, and noisy environment, a stark contrast to the deterministic APIs of the past. Vijoy introduces Cisco's vision for an "Internet of Agents," a platform to manage this new reality, and its open-source implementation, AGNTCY. We explore the four phases of agent collaboration—discovery, composition, deployment, and evaluation—and dive deep into the communication stack, from syntactic protocols like A2A, ACP, and MCP to the deeper semantic challenges of creating a shared understanding between agents. Vijoy also unveils SLIM (Secure Low-Latency Interactive Messaging), a novel transport layer designed to make agent-to-agent communication quantum-safe, real-time, and efficient for multi-modal workloads. The complete show notes for this episode can be found at ⁠https://twimlai.com/go/737.

On today's episode we review a great live session from the recent Proven Conference. The presenter Ryan Otwell shares how he grew a seven figure business rapidly purchasing inventory on Amazon and flipping it right back on Amazon at fantastic margins. We call this "Amazon to Amazon" flipping strategy "A2A". The new course that teaches the strategy is available at https://provenamazoncourse.com/a2a   If you'd like to get access to all 50 sessions from this conference, look for the special deal we have at theprovenconference.com (deal will be posted soon if you don't see it there yet - we are still editing some of the sessions for you)   Watch this episode on our YouTube channel here: https://youtu.be/OaFB9-VlysU   Show note LINKS: ProvenAmazonCourse.com/a2a - Our brand new course Amazon to Amazon Flip. This new course teching yet another successful selling strategy is available right now!   TheProvenConference.com  - Look for a great deal on all 50 videos and the full version of today's presentation   SilentSalesMachine.com - Text the word “free” to 507-800-0090 to get a free copy of Jim's latest book in audio about building multiple income streams online (US only) or visit https://silentjim.com/free11   SilentJim.com/bookacall - Schedule a FREE, customized and insightful consultation with my team or me (Jim) to discuss your e-commerce goals and options.   My Silent Team Facebook group. 100% FREE! https://www.facebook.com/groups/mysilentteam - Join 81,000 + Facebook members from around the world who are using the internet creatively every day to launch and grow multiple income streams through our exciting PROVEN strategies! There's no support community like this one anywhere else in the world!   ProvenAmazonCourse.com - The comprehensive course that contains ALL our Amazon training modules, recorded events and a steady stream of latest cutting edge training including of course the most popular starting point, the REPLENS selling model. The PAC is updated free for life!