Podcasts about CTO

Most brands still evaluate enterprise Shopify on license cost. The operators in this conversation evaluate it on opportunity cost, and that reframe changes the whole decision.Rick Watson opens a three-part series on the business case for enterprise Shopify with three people who have actually run the migration. Elara Verrett, Chief Digital and Customer Officer at Reitmans made the move to get closer to the customer without standing up an army of engineers. Renee Halverson, CMO at Marine Layer, has run on the platform for more than a decade and scaled the brand without hiring a CTO to babysit the stack. Scott Lux, VP of Digital Commerce at Stanley 1913, came from the Salesforce and Demandware world and now uses Shopify to survive high-heat drops, where the only question that matters is how many orders per minute the platform can clear.The number that came up: one brand cut its tech partner count from 40 to 10. The argument underneath it: a fashion retailer's core competency is retailing, not running a development shop.It isn't all upside. Scott's warning is blunt. The front end is nimble, but the downstream integrations into OMS and ERP are where "easy" goes to die, so pressure test them before anyone signs. Lara's warning is about people, not software. The agility is real, and most large organizations are not built to absorb it.One point they all landed on, and it cuts against instinct: standardization beats customization where it counts. Checkout is the example. Shoppers trust the flow they already know, and rebuilding it rarely pays for itself.The Big Green Bag Of Promise: Enterprise Shopify Webinar Series is sponsored by Avalara, Domaine, and Pattern.

Most leaders say culture matters. Far fewer can explain how it's actually built. Mike Schroepfer spent more than a decade helping build Facebook's engineering organization during some of its fastest—and messiest—years of growth. As CTO, he helped shape a culture built around learning, experimentation, and moving quickly. In this episode, Mike discusses why great cultures aren't created through values decks or mission statements, how leaders teach people what matters through their behavior, and why the difference between a learning culture and a blame culture can determine an organization's success. If culture is what happens when something goes wrong, this conversation is about how to build one that gets stronger under pressure.Featured guestFollow Mike Schroepfer on LinkedInLearn more about Gigascale CapitalConnect with the teamFollow Molly on Instagram, LinkedIn, and at glueclub.com/Subscribe to Molly's Substack LessonWatch WorkLife videos on YouTube at TEDAudioCollectiveFollow TED on X, Instagram, Facebook, LinkedIn, and TikTokFor the full text transcript, visit https://www.ted.com/podcasts/worklife-transcripts Hosted on Acast. See acast.com/privacy for more information.

AI can generate working code quickly. Building reliable software to run infrastructure platforms is still a multi-year engineering challenge. In this sponsored episode, BlueCat chief strategy officer Andrew Wertkin joins John Burke and Scott Robohn to talk through the difference between code generation and enterprise software development, and the challenges and opportunities of engineering reliability... Read more »

In this episode of the IoT For All Podcast, Martin Nord, Chief Technology and Product Officer at Com4, joins Ryan Chacon to discuss IoT in 2026 and what enterprises need to consider. The conversation covers what enterprise IoT buyers actually need, the crowded IoT connectivity market, the 2G/3G sunset, how roaming in IoT is broken in subtle ways, the nature of IoT connectivity failures, prioritizing financial stability in IoT partners, satellite IoT, and the future of IoT connectivity.With over 20 years of experience in the cellular and IoT industry, Martin Nord is a visionary leader and passionate technologist. He has a proven track record of driving innovation and leading high-performance teams. As CTO and PTO, Martin plays a pivotal role in shaping Com4's product vision and strategy. He oversees the entire product lifecycle, ensuring that Com4's solutions not only meet market demands but also drive value for customers in an ever-evolving IoT landscape. By combining his deep technical expertise with a customer-focused approach, Martin ensures that Com4's offerings remain at the forefront of innovation in IoT connectivity.Com4, part of Wireless Logic Group, is a world leading provider of managed IoT connectivity services, with over 13 years of experience working with enterprises around the world. Com4 exists to provide not only the right tools but the most fitting solutions to its customers for beneficial IoT connectivity and control. Customers around the world trust them to cost-efficiently build and operate both large-scale and smaller IoT connectivity projects. All SIM cards are delivered, already activated within a few business days. Com4 supports all radio standards (2G, 3G, 4G, and 5G as well as LPWA technologies such as LTE-M and NB-IoT).Discover more about IoT at https://www.iotforall.comFind IoT solutions: https://marketplace.iotforall.comMore about Com4: https://www.com4.no/en/Connect with Martin: https://www.linkedin.com/in/martinnord/Subscribe on YouTube: https://bit.ly/2NlcEwmJoin Our Newsletter: https://newsletter.iotforall.comFollow Us on Social: https://linktr.ee/iot4all

The relationship managers who resisted AI the hardest became its biggest advocates the first time it made them a hero in front of a client.Recorded live at nSight in Charlotte, Jim Marous talks with Jillian Boyle, SVP at WaFd Bank, and Will Jung, CTO of nCino, about arming front-line bankers rather than automating them. WaFd, with nearly $30 billion in assets, put an app in its bankers' hands and gave them back the time they used to lose to administrative work. Boyle is direct that the technology was never the obstacle. The people were.In this episode:• Why WaFd gave its bankers AI tools and data instead of trying to replace them• The moment skeptical bankers flip from resistance to adoption• Why every banking problem does not need a large language modelRecorded at nSight, sponsored by nCino, with research access linked below. Banking Transformed, hosted by Jim Marous, publishes multiple times each week. Subscribe on Apple Podcasts or Spotify.

Everyone's talking about AI slop. But is it really an AI problem, or is it a tool problem? Adam Creeger, CTO at Slate, and Michael Horton, co-founder and CEO, have seen this from every angle, from Meta's video feed to the social media managers creating content on the fly for major brands. And their take is refreshingly honest: most tools right now just aren't built for professionals who actually care about quality. And they break down the 80/20 framework for AI content creation, why AI should handle the tedious 80% so you can spend more time perfecting the last 20% that actually makes content stand out. Plus, why brand guardrails in AI aren't about limiting creativity, they're more like a GPS that lets you take the scenic route and still find your way back. If you're a Marketer who wants to use AI to create better content without sacrificing your brand voice, this is the episode for you. Slate is the one stop content creation platform for social media teams. With AI assisted video and image editing, branding, and collaboration all in one platform. No more switching between 10 different tools. Slate is built for how social teams actually work. Click here for more.  Follow Michael: LinkedIn: https://www.linkedin.com/in/michaelhorton1/ Follow Adam: LinkedIn: https://www.linkedin.com/in/adamcreeger/ Follow Daniel: YouTube: https://www.youtube.com/@themarketingmillennials/featured Twitter: https://www.twitter.com/Dmurr68 LinkedIn: https://www.linkedin.com/in/daniel-murray-marketing Sign up for The Marketing Millennials newsletter: www.workweek.com/brand/the-marketing-millennials Daniel is a Workweek friend, working to produce amazing podcasts. To find out more, visit: www.workweek.com

AI can generate working code quickly. Building reliable software to run infrastructure platforms is still a multi-year engineering challenge. In this sponsored episode, BlueCat chief strategy officer Andrew Wertkin joins John Burke and Scott Robohn to talk through the difference between code generation and enterprise software development, and the challenges and opportunities of engineering reliability... Read more »

EeroQ is unusual in two ways. It's the only company in the world commercializing electrons-on-helium qubits, a modality first proposed by Platzman and Dykman in Science in 1999. And it was founded by Nick Farina — a software entrepreneur, not a physicist — who got pulled into the field through a Chicago theater board where he met his future co-founder, then-PhD student Johannes Pollanen.This conversation matters now because EeroQ has had an unusually productive twelve months: a Physical Review X paper demonstrating single-electron control above 1 Kelvin, a January 2026 result on controlling up to a million electrons with fewer than 50 control lines, and — published in Nature Physics on June 15, 2026 — the first demonstration of strong coupling between a microwave photon and a single electron on helium, the cavity-QED readout-and-control link the platform depends on. If you're trying to understand which "second-tier" modalities deserve serious attention — and how a small, capital-light team in Chicago is thinking about scale-first hardware design — this is a useful listen.SponsorThis episode is brought to you by Outshift, Cisco's incubation engine. The need for computational power is rapidly increasing in every sector. From drug discovery to material innovation to complex financial modeling, classical systems are reaching their absolute limits. It's time for a paradigm shift. The answer is a scalable quantum network, built on open standards and vendor-agnostic architecture. By uniting distributed quantum devices, you unlock limitless computational power.Learn more about the Cisco Universal Quantum Switch at Outshift.com.Go deeper with the blog post The switch that quantum networking has been waiting for.What We Get IntoHow a Chicago theater board led to one of the most unique qubit companies in the fieldWhy electrons-on-helium failed in the early 2000s and why circuit QED, dry fridges, and CMOS now make it viableThe physical picture: a thin superfluid helium film coating a CMOS chip, with electrons trapped a few nanometers above the surface by their own image chargeWhy EeroQ pivoted from motional states to spin qubits after Steve Lyon (Princeton) joined as CTO — and the predicted 10+ second coherence times that come with itThe "build a quantum computer in reverse" philosophy: starting from a million-qubit architecture and working back toward two-qubit gatesHow the "Wonder Lake" chip controls 2,432 future qubit sites today, and why that's an engineering milestone rather than a qubit countHonest framing of where EeroQ actually is: no two-qubit gate demonstrated yet, with a tape-out target of ~10,000 qubits by late 2028Why dipole-dipole gates come first and exchange gates come later, borrowing from the spin qubit playbookThe case that scaling — not qubit quality — has been the field's slowest-moving problem over the last decadeResources & LinksGuest & CompanyEeroQ — Company site for the only commercial electron-on-helium quantum hardware effort.EeroQ Publications — Peer-reviewed papers and preprints from the team.Building a Quantum Computer in Reverse (EeroQ Blog, July 2023) — Farina's own articulation of the scale-first design philosophy discussed in the episode.Key PapersKoolstra, Glen, Beysengulov et al., "Strong coupling of a microwave photon to an electron on helium," Nature Physics, June 2026 — First demonstration of strong coupling between a microwave photon and the quantized motional state of a single electron on helium, including observation of vacuum Rabi splitting — establishing the cavity-QED readout link at the heart of EeroQ's architecture. This result was under embargo when the episode was recorded.Castoria et al., "Sensing and Control of Single Trapped Electrons Above 1 Kelvin," Physical Review X (2025) — The 1 K result Nick references; demonstrates charge sensing but not yet coherent spin manipulation.Koolstra et al., "High-impedance Resonators for Strong Coupling to an Electron on Helium," Physical Review Applied (Feb 2025) — The resonator architecture underlying EeroQ's cQED control approach.Electron-on-helium qubit (Wikipedia) — Useful overview including the original 1999 Platzman & Dykman Science proposal and Steve Lyon's 2006 spin-qubit paper in Physical Review A.Press & ContextEeroQ Makes World-First Breakthrough in Electron Qubits Floating on Helium (EeroQ, June 2026) — Company announcement of the Nature Physics strong-coupling result.EeroQ Solves the "Wire Problem" (PRNewswire, Jan 2026) — The million-electrons / fewer-than-50-wires result Nick cites.Individual electrons trapped and controlled above 1 K (Phys.org) — Independent coverage of the PRX paper.EeroQ Achieves Tape-Out of "Wonder Lake" Chip (The Quantum Insider, July 2023) — Background on the 2,432-site CMOS chip discussed in the episode.EcosystemChicago Quantum Exchange — The regional consortium EeroQ benefits from.Illinois Quantum and Microelectronics Park — The state-backed quantum park anchored in Chicago.Key Quotes & InsightsOn the contrarian thesis: "Scaling is actually the hardest part of building a quantum computer." Nick argues the field has made real strides on gate fidelity, error correction, and algorithms over the last decade — but not nearly enough on the path to hundreds of thousands or millions of qubits.On building in reverse: Rather than starting from a two-qubit gate and "hoping and praying to find ways to scale," EeroQ started by asking what a million-qubit processor would have to look like — which forced the choice of CMOS as the only manufacturing technology humanity has ever used to build features at that scale.On honest status: "We d...

Un grand merci à Loop Capital, la référence mondiale de l'Infinite Banking Concept, de soutenir ce podcast. Découvrez comment reprendre le contrôle absolu de votre capital et bâtir votre souveraineté financière sur : https://loop-capital.co/À 15 ans, Brivaël Le Pogam gagnait entre 1 500 et 2 000 dollars par mois avec un jeu en ligne qu'il avait codé seul.Personne ne le sait.Aujourd'hui, il est co-fondateur et CTO d'Argil.ai — une start-up Y Combinator qui permet à n'importe qui de se cloner en vidéo grâce à l'IA, de parler dans n'importe quelle langue, sans studio, sans équipe, sans caméra.Mais ce qui m'a le plus frappé dans cette conversation, c'est pas la technologie.C'est comment il pense.Brivaël n'utilise pas l'IA comme un outil de délégation. Il l'a construite comme une extension de lui-même — des agents entraînés sur sa façon de raisonner, d'argumenter, de répondre. Sa bio sur X dit littéralement : "soit moi qui écrit, soit mes agents."Dans cet épisode de Débrouillard, il raconte tout :→ Comment il a reverse-engineeré la technologie deepfake vidéo avec une équipe de trois personnes→ Pourquoi Marc Andreessen a retweeté sa démo à 2h du matin — et ce que ça a changé→ Deux pivots douloureux, 70 000 inscrits brûlés, et comment il a trouvé le vrai founder-market fit→ Sa thèse sur l'IA : on est encore au stade de la CLI des années 70 — la vraie révolution n'a pas commencé→ La différence entre utiliser l'IA comme béquille et l'utiliser comme levier→ Pourquoi il pense que la prochaine génération de créateurs va produire le futur Star Wars depuis leur chambreUn épisode dense, technique, et résolument contre-courant.▬▬▬▬▬▬▬▬▬

JDK 26 optimise la JVM dans ses moindres recoins, le SDK Java d'Agent2Agent passe en 1.0, Micronaut 5 est là. Côté terrain, un retour d'expérience après 40 jours à coder avec 100 % d'IA : génie ou junior, Alzheimer numérique et dette technique invisible. Pendant ce temps, GitLab restructure, Microsoft suspend ses licences Claude Code, et un développeur injecte un prompt destructeur dans sa lib JUnit. La révolution IA a un coût et les boites commencent à s'en rendre compte. Enregistré le 12 juin 2026 Téléchargement de l'épisode LesCastCodeurs-Episode-341.mp3 ou en vidéo sur YouTube. News Langages Les améliorations de performance dans le JDK 26 https://inside.java/2026/06/09/jdk-26-performance-improvements/ Côté bibliothèques, l'API LazyConstant (anciennement StableValue) fait son entrée en prévisualisation pour permettre une initialisation paresseuse, sécurisée pour les threads et optimisée par le mécanisme de constant-folding de la JVM. L'extraction de chaînes de caractères via MemorySegment::getString a été revue pour réduire considérablement les allocations intermédiaires et les copies en mémoire off-heap, accélérant fortement les traitements sur les chemins critiques (hot paths). La méthode générée automatiquement hashCode() pour les classes de type record a été optimisée par la JVM pour atteindre un niveau de performance équivalent à une implémentation écrite manuellement. Le ramasse-miettes G1 bénéficie du JEP 522 qui redessine sa table de cartes (card-table) afin de réduire les coûts de synchronisation des barrières d'écriture, offrant un gain de débit de 5 % à 15 % sur les applications manipulant énormément de références d'objets. Grâce au JEP 516 (Project Leyden), le cache d'objets Ahead-of-Time (AOT) adopte un format de flux agnostique, ce qui lui permet d'être compatible avec n'importe quel Garbage Collector, y compris le ramasse-miettes à très faible latence ZGC. Le démarrage de la JVM s'accélère par défaut lorsqu'aucune taille de tas n'est configurée, car HotSpot n'applique plus de pourcentage initial (InitialRAMPercentage) mais démarre directement avec la taille minimale (MinHeapSize) pour éviter d'allouer des métadonnées inutiles. Les threads virtuels gagnent en robustesse en étant désormais capables de céder la main (yield) pendant les phases d'initialisation des classes, éliminant ainsi le risque de famine des threads porteurs (carrier threads). Le compilateur C2 JIT améliore son modèle de coût pour la vectorisation des boucles (SIMD) et se montre maintenant capable de compiler et d'optimiser des méthodes dotées de listes de paramètres extrêmement longues. Librairies Release candidate du A2A Java SDK supportant versions 0.3 et 1.0 en même temps https://medium.com/google-cloud/a2a-java-sdk-1-0-0-cr1-released-f0c651ec9139 Dernière étape avant la GA : Toutes les fonctionnalités prévues pour la version 1.0 sont finalisées. Migration simplifiée depuis la Beta1. Compatibilité v0.3 : Ajout d'une couche de compatibilité permettant aux agents v1.0 de communiquer avec les systèmes v0.3 (via JSON-RPC, gRPC ou REST). Support natif pour Android (nouvel AndroidHttpClient). Uniformisation des clients HTTP pour garantir une cohérence entre les versions. Nouveau parseur SSE (Server-Sent Events) conforme aux spécifications. Ça y est, le SDK Java de l'Agent 2 Agent Protocol est sorti en version 1.0 finale ! (avec compatibilité v0.3 et v1.0) https://medium.com/google-cloud/a2a-java-sdk-1-0-0-final-released-10c05b6aee34 Lancement officiel : Sortie de A2A Java SDK 1.0.0.Final, la première version stable (GA) du protocole Agent2Agent. Objectif du protocole : Standard ouvert (Linux Foundation) permettant aux agents IA de communiquer, déléguer des tâches et collaborer, indépendamment du langage ou du framework. Interopérabilité : Introduction de l'Integration Test Kit (ITK) pour valider la compatibilité entre les SDK (Java, Python, TypeScript, etc.). Transports supportés : Support complet et équivalent pour JSON-RPC, gRPC et HTTP+JSON/REST. Alignement total avec la spécification A2A 1.0.0. Passage aux Java records pour l'immutabilité et moins de code répétitif. Architecture interne basée sur un MainEventBus pour garantir la persistance et éviter les conditions de concurrence. Intégration d'OpenTelemetry pour le suivi et la surveillance. Support d'Android et compatibilité descendante avec la version 0.3. Installation : Gestion des dépendances via Maven BOM (org.a2aproject.sdk). Sortie de Micronaut 5.0 https://micronaut.io/2026/05/20/micronaut-framework-5-0-0-released/ Lancement majeur : Disponibilité générale de Micronaut 5, incluant une refonte de plus de 70 modules et la plateforme BOM. Baselines techniques : Support de Java 25, Groovy 5, Kotlin 2.3 et GraalVM 25.0.3. Optimisations internes : Amélioration significative des performances au démarrage et réduction de la surcharge à l'exécution via une refonte du conteneur IoC et du traitement à la compilation. Architecture HTTP : Support stable de HTTP/3, nouvelle API de formulaires (multipart) et annotations de nullabilité (JSpecify) pour une meilleure interopérabilité Kotlin/IDE. Configuration : Nouveau système d'importation de configuration (remplaçant le Bootstrap Configuration) et validateur de schéma JSON intégré. Fiabilité : Nouvelles API programmatiques pour les politiques de retry et circuit breaker. Sécurité & Outils : Mise à jour majeure des dépendances (Jackson 3, Ktor 3), rafraîchissement du Panneau de contrôle et diagnostics AOT améliorés. Écosystème : Mises à jour complètes pour les bases de données (Data, SQL, R2DBC, MongoDB, Redis), le cloud (AWS, Azure, GCP, OCI) et les tests (JUnit 6, Testcontainers 2.0). Évolutions notables : Intégration HTMX dans Micronaut Views, retrait du support RxJava 2 et migration de divers processeurs d'annotations vers des modules dédiés. Comment rajouter un agent IA dans une app Android, avec le tout nouveau framework ADK pour Kotlin https://glaforge.dev/posts/2026/05/21/wiring-adk-kotlin-agents-in-an-android-application/ Guillaume a participé au développement et au lancement du nouveau runtime ADK pour Kotlin et Android https://developers.googleblog.com/adk-kotlin-android-building-ai-agents/ Tutoriel sur comment intégrer un agent ADK dans une app Dépendances : Ajout du noyau ADK (google-adk-kotlin-core) et du processeur KSP dans build.gradle.kts. Sécurité API : Utilisation de local.properties pour stocker la clé API Gemini et l'exposer via BuildConfig afin d'éviter le hardcoding. Définition de l'agent : Création d'un objet LlmAgent configuré avec le modèle Gemini, des instructions spécifiques et des outils (ex: GoogleSearchTool). Utilisation de InMemoryRunner pour gérer automatiquement le contexte et l'historique de la session. Implémentation de runAsync avec StreamingMode.SSE pour un retour en temps réel dans l'interface. Threading : Exécution des requêtes réseau sur Dispatchers.IO et mise à jour de l'état de l'interface utilisateur sur Dispatchers.Main. Comment développer et hoster des agents IA sur la plateforme d'agents managés de DeepMind https://glaforge.dev/posts/2026/05/21/managed-agents-with-the-gemini-interactions-java-sdk/ L'équipe DeepMind de Google a lancé une plateforme d'agents managés sur son API Gemini Interactions https://blog.google/innovation-and-ai/technology/developers-tools/managed-agents-gemini-api/ Guillaume a implémenté un SDK Java pour utiliser cette API Gemini Interactions, qui donne entre autre accès à tous les modèles mais aussi à cette plateforme managée d'agents IA Agents managés : Permet d'exécuter des agents autonomes qui raisonnent, planifient et exécutent du code dans des environnements isolés (sandboxes), sans gestion d'infrastructure par le développeur. Environnement distant : Utilise des espaces de travail Linux éphémères dans le cloud via le paramètre remote, permettant l'accès réseau et la persistance des fichiers sur plusieurs appels. Agents prédéfinis : Accès immédiat à des agents spécialisés comme deep-research-pro (recherche multi-étapes) ou antigravity (tâches de codage généralistes). Agents personnalisés : Possibilité de configurer ses propres agents avec des instructions système dédiées, des outils spécifiques (exécution de code, recherche Google) et des règles réseau (egress) personnalisées. Architecture basée sur les étapes (Steps) : Utilise une structure de données typée (Step, Content) pour suivre le raisonnement de l'agent, ses appels de fonctions et ses résultats en temps réel. Outils et Schémas : Inclut des utilitaires pour générer des schémas JSON complexes via une interface fluide (DSL), par réflexion Java ou par parsing JSON. Streaming réactif : Support natif des événements en temps réel (SSE) pour suivre la progression de l'agent et recevoir les deltas de contenu au fur et à mesure de la génération. Flexibilité : Fournit un gestionnaire de routage (InteractionsHandler) pour créer facilement des serveurs proxy ou des backends intermédiaires traitant les interactions Gemini. Spring Boot 4.1 https://github.com/spring-projects/spring-boot/wiki/Spring-Boot-4.1-Release-Notes Support natif pour Spring gRPC permettant de créer et tester facilement des applications clientes et serveurs basées sur Netty ou des Servlets via HTTP/2 Introduction du lazy fetching pour les connexions JDBC via la propriété spring.datasource.connection-fetch=lazy afin de ne prendre une connexion du pool que lorsqu'un Statement est réellement exécuté Amélioration de l'auto-configuration de Jackson permettant de définir globalement les contraintes de lecture/écriture pour les formats JSON, XML et CBOR via des propriétés de configuration Sécurisation des clients HTTP bloquants et réactifs face aux attaques SSRF grâce à l'introduction d'un InetAddressFilter bloquant les requêtes sortantes vers des adresses spécifiques Améliorations majeures autour d'OpenTelemetry avec le support complet des variables d'environnement OTel, la possibilité de désactiver le SDK via une propriété globale et l'ajout du support SSL sur les exporters OTLP Ajout de l'auto-configuration pour l'utilisation de Spring Batch avec MongoDB incluant un nouveau starter dédié spring-boot-batch-data-mongo Auto-configuration des endpoints @RedisListener sans nécessiter la déclaration manuelle d'un RedisMessageListenerContainer Dépréciation du support de Apache Derby (projet arrêté), suppression définitive du mode layertools du JAR et réintroduction du support de Spock 2.4 (avec Groovy 5) Upgrade des dépendances majeures de l'écosystème avec notamment Spring Framework 7.0.8, Spring Security 7.1.0 et Micrometer 1.17.0 Outillage Vous êtes plutôt endive ou chicorée ? La librairie Chicory qui permet d'exécuter du code WASM à partir de son application Java est forkée et rejointe la Bytecode Alliance pour continuer son développement https://bytecodealliance.org/articles/endive-and-the-next-chapter-of-webassembly-on-the-jvm Annonce d'Endive : Nouveau projet hébergé par la Bytecode Alliance ; fork de Chicory (moteur WebAssembly pur Java, sans dépendance native). ​Objectif principal : Permettre aux développeurs Java d'intégrer, charger et déployer des modules Wasm nativement via les workflows Java habituels. ​Compilateur "Redline" : Intégration à venir de Redline (basé sur Cranelift) pour compiler le Wasm en code machine natif ; performances comparables à Rust/Wasmtime. ​Zéro dépendance (Java 25+) : Grâce à l'API standard Foreign Function & Memory (Project Panama), l'exécution à vitesse native se fait sans composants externes. ​Modèle de Composants (Component Model) : Support futur prévu pour consommer des composants (Rust, Go, JS, etc.) via des interfaces typées et sécurisées directement dans la JVM. ​Prochaines étapes : Fusion de Redline, conformité stricte aux specs Wasm (dont WasmGC) et amélioration du support WASI. Un visualisateur de sessions de travail avec Antigravity https://glaforge.dev/posts/2026/06/11/antigravity-brain-visualizer/ Un projet open source construit avec Micronaut, LangChain4j et GraalVM pour analyser les sessions de travail avec l'outil de développement agentique Antigravity (de Google) Analyse toutes les étapes, les requêtes utilisateur, les outils utilisés, les erreurs rencontrées, les réponses du modèle Gemini fait une analyse pour comprendre les moments clés de cette session de travail Outil buildé avec l'aide d'Antigravity lui-même SBX-Kits : des environnements de développement simplifiés pour les débutants (et les autres) https://k33g.org/20260501-sbx-kits.html Philippe Charrière (:whale: ) présente SBX-Kits (Sandbox Kits), une initiative personnelle visant à simplifier radicalement la mise en place d'environnements de développement pour les débutants, en éliminant la complexité d'installation des outils traditionnels. Chaque "kit" est une archive prête à l'emploi contenant un outil de développement spécifique (comme un langage, un framework ou une base de données) configuré pour s'exécuter de manière isolée et portable. La philosophie du projet repose sur le principe de "zéro configuration" et "zéro dépendance globale", permettant de tester une technologie ou de commencer à coder immédiatement sans polluer son système d'exploitation. L'approche technique s'appuie sur des scripts légers et des binaires portables pré-packagés, offrant une alternative plus simple et moins gourmande en ressources que les conteneurs Docker ou les configurations d'IDE complexes pour l'apprentissage. L'objectif à terme est de proposer un catalogue de kits couvrant les technologies courantes (JavaScript, Python, petites bases de données) pour faciliter les ateliers de programmation et le prototypage rapide. De nombreux kits sont disponibles sur https://github.com/docker/sbx-kits-contrib ghui: une interface utilisateur en ligne de commande (TUI) interactive pour GitHub https://github.com/kitlangton/ghui ghui est un outil en ligne de commande (TUI) écrit en Rust qui fournit une interface visuelle, interactive et rapide directement dans le terminal pour interagir avec GitHub. Il permet de gérer ses pull requests, ses issues et ses notifications sans avoir à ouvrir son navigateur web ou à taper de longues commandes avec la CLI officielle de GitHub. L'outil propose une navigation fluide au clavier, des raccourcis efficaces, et permet de réaliser des actions courantes comme valider une PR, ajouter des commentaires, attribuer des reviewers ou inspecter les logs des GitHub Actions. Conçu pour être extrêmement réactif, ghui s'intègre naturellement dans le flux de travail des développeurs adeptes du terminal et du mode "sans souris". Sortie de Homebrew 6.0.0 https://brew.sh/2026/06/11/homebrew-6.0.0/ Introduction du mécanisme de sécurité Tap Trust : comme les dépôts tiers (taps) peuvent exécuter du code Ruby arbitraire non sandboxé sur la machine, Homebrew demande désormais une confiance explicite de l'utilisateur avant d'évaluer ou d'exécuter leur code. L'API JSON interne devient le choix par défaut, offrant un système plus léger et beaucoup plus rapide pour les développeurs. Sécurisation renforcée de l'environnement avec l'implémentation du sandboxing sur Linux. Évolution des comportements par défaut basés sur un sondage utilisateur : le mode "ask" est activé par défaut pour les développeurs, affichant un résumé des dépendances et une demande de confirmation avant toute action de brew install ou brew upgrade. Améliorations notables des performances globales, notamment un boost de ~30 % sur la vitesse de la commande brew leaves et la parallélisation de la récupération des bottles (binaires) lors des mises à jour. Ajout du support initial pour la prochaine version d'Apple, macOS 27 (Golden Gate). Multiples optimisations pour brew bundle, incluant une gestion plus sécurisée des installations de paquets npm. Méthodologies Retour d'expérience très détaillé et 100% humain sur 40 jours avec une équipe 100% AI hormis le superviseur https://www.linkedin.com/pulse/jai-vir%C3%A9-mon-%C3%A9quipe-de-dev-pour-une-100-ia-pendant-40-luc-bonnin-jlgjf/ Voici le résumé en bullet points : Expérimentation de 40 jours : remplacer une équipe de dev par 100% IA agentique (Cursor) sur un vrai projet en production (playthatsheet.com, 200k lignes de code legacy) Chiffres bruts : 2,3 milliards de tokens consommés, 1 477 prompts, 260 564 lignes ajoutées (+145%), 59% du code final produit par l'IA ROI vertigineux à court terme : 9 mois de travail humain livrés en 40 jours, coût total 260$ d'abonnement + 15 jours de supervision, ROI x18 Profil psy de l'IA : Alzheimer (oublis de contexte), schizophrène (change de méthodo), ado de 12 ans (refait les mêmes erreurs), oscille entre génie et junior sans prévenir Effet iceberg : la dette technique ne disparaît pas, elle se camoufle et s'accélère ; hallucinations = bombes à retardement détectables uniquement par relecture humaine ligne par ligne Paradoxe du bateau de Thésée : perte de paternité et de maîtrise fine du code, baisse de l'autonomie du dev humain qui valide sans avoir construit Arnaque du "monkey money" : consommation de tokens opaque, non corrélée à la complexité (écart de 350% sur des prompts identiques), facturation imprévisible donc impossible à budgéter Syndrome du bazooka : les devs utilisent l'IA même pour changer une couleur CSS, atrophie progressive des compétences et coût écologique délirant Risque stratégique : dépendance irréversible aux vendeurs de tokens (Nvidia, Anthropic, OpenAI), business non rentable qui devra augmenter ses prix Conseil final : approche Pareto, garder 20% du temps en code "fait main", nommer un responsable stratégie IA, l'humain senior reste irremplaçable pour superviser Une libraries de test JUnit cache un prompt qui demande aux coding agents d'effacer les tests https://arstechnica.com/security/2026/05/fed-up-with-vibe-coders-dev-sneaks-data-nuking-prompt-injection-into-their-code/ Agacé par les « vibe coders », un développeur introduit une injection de prompt destructrice dans son code Le développeur de jqwik (un moteur de tests pour JUnit 5) a volontairement inséré une injection de prompt dans la version 1.10.0 de sa bibliothèque Java pour saboter le travail des agents d'IA. L'instruction injectée via la sortie standard (stdout) ordonne textuellement aux LLM d'ignorer les consignes précédentes et de supprimer l'intégralité du code et des tests jqwik du projet. Pour dissimuler cette action aux yeux des développeurs humains, le mainteneur a utilisé des séquences d'échappement ANSI qui effacent la ligne d'injection dans les émulateurs de terminaux interactifs. La modification a été découverte par un utilisateur qui a pointé du doigt les risques majeurs et disproportionnés pour les machines des utilisateurs, bien que certains outils comme Claude d'Anthropic aient détecté et bloqué la consigne malveillante. Face aux critiques de la communauté et aux accusations de comportement infantile ou potentiellement illégal, le développeur a mis à jour ses notes de version pour documenter explicitement son opposition à l'usage de son outil par des IA, avant de refuser tout commentaire supplémentaire sur conseil de son avocat. La réalité du rôle de Principal Engineer https://leaddev.com/career-development/reality-being-principal-engineer Le passage au rôle de Principal Engineer marque une transition majeure où les compétences techniques ne suffisent plus, l'impact se mesurant désormais à travers l'influence, la stratégie et la capacité à aligner la technique avec les objectifs business. Contrairement aux attentes, le quotidien est souvent marqué par une forme d'isolement, car le poste se situe à l'intersection de la direction (qui attend des solutions) et des équipes techniques (qui attendent des directives), sans appartenance directe à un groupe précis. Le rôle exige d'accepter une grande part d'ambiguïté et l'absence de retours immédiats, les projets et les décisions stratégiques mettant parfois des mois ou des années à porter leurs fruits. La gestion du temps devient un défi critique, nécessitant de savoir naviguer entre les sollicitations constantes, la présence en réunion et le besoin de préserver des moments de réflexion approfondie pour concevoir des visions à long terme. La réussite à ce niveau repose sur le développement de compétences humaines pointues (soft skills), notamment la négociation, la communication vulgarisée auprès des profils non techniques, et la capacité à faire grandir les autres ingénieurs par le mentorat. Sécurité Une attaque de la chaîne d'approvisionnement npm utilise binding.gyp pour compromettre des dizaines de paquets https://cybersecuritynews.com/binding-gyp-supply-chain-attack-compromises-dozens-of-npm-packages/ Une nouvelle variante du ver auto-propageable "Shai-Hulud", baptisée "Miasma", cible l'écosystème npm (et PyPI sous le nom de "Hades") en dissimulant son exécution dans le fichier binding.gyp au lieu des scripts classiques preinstall ou postinstall. La technique, surnommée "Phantom Gyp", exploite le fait que npm lance automatiquement node-gyp rebuild dès qu'un fichier binding.gyp est présent à la racine d'un paquet pour compiler des modules natifs C/C++, exécutant ainsi le code malveillant dès la commande npm install. L'attaque contourne la plupart des outils de sécurité traditionnels car l'injection s'appuie sur l'évaluation récursive de commandes (via la syntaxe ) ou directement sur la fonction eval() de Python sous-jacente à GYP, cachée sous n'importe quelle clé du fichier. Le script malveillant télécharge un runtime alternatif (Bun) pour échapper aux détections comportementales de Node.js, puis moissonne les identifiants et secrets des développeurs et des environnements CI/CD (npm, GitHub, AWS, GCP, Azure, Kubernetes, HashiCorp Vault). Plus de 57 paquets npm (dont le SDK serveur de Vapi ou des outils liés à l'IA) et des dizaines de paquets PyPI ont été infectés via des comptes de mainteneurs compromis, le ver republiant automatiquement de nouvelles versions vérolées en utilisant les jetons volés. Loi, société et organisation Restructuration chez Gitlab https://about.gitlab.com/blog/gitlab-act-2/ GitLab entame une restructuration majeure pour s'adapter à l'ère de l'intelligence artificielle agentique, incluant une réduction d'effectifs planifiée de manière transparente et ouverte. L'entreprise prévoit de réduire de 30 % le nombre de pays où elle maintient de petites équipes, d'aplatir sa hiérarchie en supprimant jusqu'à trois niveaux de gestion, et de réorganiser la R&D en une soixantaine d'équipes plus petites et autonomes. Les processus internes vont être revus en intégrant des agents d'IA pour automatiser les revues, les approbations et les passages de relais afin d'accélérer le rythme de travail. La stratégie repose sur la conviction que le logiciel sera bientôt écrit par des machines et dirigé par des humains, ce qui va multiplier la demande de logiciels et transformer le rôle des ingénieurs vers la résolution de problèmes complexes. Sur le plan technique, GitLab reconstruit son infrastructure sous-jacente (notamment Git) pour supporter la charge massive générée par les agents d'IA, tout en misant sur l'orchestration du cycle de vie, la centralisation du contexte des données et une gouvernance intégrée. Le modèle économique évolue vers un système hybride combinant les abonnements classiques et une tarification à la consommation pour le travail effectué par les agents d'IA. Un LLM local sur un mac pourrait coûter plus cher en électricité qu'un modèle hébergé sur OpenRouter dans le cloud https://www.williamangel.net/blog/2026/05/17/offline-llm-energy-use.html Conclusion : L'inférence locale sur Mac M5 Max est 3x plus chère et 2x plus lente que le cloud (OpenRouter). Électricité : Négligeable (~0,02 $/heure pour 50-100W). Matériel (Le vrai coût) : Achat du Mac à 4 299 $; l'amortissement sur 3 à 5 ans plombe la rentabilité horaire. Coût au million de tokens (Gemma 4 31b) : Mac M5 Max : 0,40 à4, 79 (pour 10-40 tokens/s). OpenRouter : 0,38 à0, 50 (pour 60-70 tokens/s). Verdict pro : Le temps humain perdu à cause de la lenteur locale coûte infiniment plus cher que les tokens cloud. Privilégier les API (Anthropic, OpenRouter). Ai didn't kill your junior pipeline https://andrewmurphy.io/blog/ai-didnt-kill-your-junior-pipeline-you-did L'IA n'a pas tué le recrutement des juniors, les entreprises l'ont fait elles-mêmes, par effet de mode. Sans juniors, pas de futurs seniors : on retire l'échelle qui nous a tous fait monter. Tout le monde pêche dans le même bassin de seniors sans le réapprovisionner, pénurie garantie dans 3-5 ans. Une équipe 100% senior + IA est fragile : un départ et tout le savoir tacite s'évapore. Les juniors posent les "pourquoi ?" qui révèlent les bugs et processus absurdes ; l'IA, elle, exécute sans questionner. Les seniors s'atrophient aussi en déléguant leur réflexion à l'IA, pince à double effet sur les compétences. Dépendre des outils IA, c'est sous-traiter sa stratégie talents à des fournisseurs dont les prix vont tripler. Solution : redéfinir le rôle junior (revue de code IA + mentorat), pas le supprimer. Les rapports internes de Microsoft révèlent la crise des coûts de l'IA : les agents coûtent plus cher que les employés humains https://fortune.com/2026/05/22/microsoft-ai-cost-problem-tokens-agents/ Des données et rapports internes chez Microsoft et d'autres géants de la tech ébranlent la promesse de rentabilité de l'IA, révélant que le déploiement d'agents autonomes à l'échelle de l'entreprise revient souvent plus cher que de payer des humains pour le même travail. Le modèle de tarification à l'usage (basé sur les tokens) se heurte à la nature même des architectures agentiques : contrairement à un simple chatbot, un agent boucle, enchaîne les appels d'outils, crée des sous-agents et auto-évalue son code, ce qui multiplie la consommation de tokens par un facteur de 5 à 30, voire jusqu'à 1 000 fois pour des tâches de programmation complexes. L'impact financier sur les budgets de calcul cloud est immédiat ; par exemple, Uber a entièrement épuisé l'intégralité de son budget annuel 2026 dédié au codage par IA en l'espace de seulement quatre mois. Face à cette explosion des coûts, des retours en arrière drastiques sont observés : Microsoft a ainsi commencé à suspendre une grande partie de ses licences internes Claude Code pour rediriger d'urgence ses milliers de développeurs vers sa propre solution moins onéreuse, GitHub Copilot CLI. Les directeurs techniques (CTO) et acheteurs de solutions logicielles qui ont signé des contrats pluriannuels basés sur des projections de réduction de masse salariale se retrouvent pris au piège, les gains réels de productivité ne parvenant pas à compenser les factures d'infrastructure exorbitantes. Conférences La liste des conférences provenant de Developers Conferences Agenda/List par Aurélie Vache et contributeurs : 11-12 juin 2026 : DevQuest Niort - Niort (France) 11-12 juin 2026 : DevLille 2026 - Lille (France) 12 juin 2026 : Tech F'Est 2026 - Nancy (France) 15 juin 2026 : Jupyter Workshops: Demystifying MyST Markdown in Education - Orsay (France) 16 juin 2026 : Mobilis In Mobile 2026 - Nantes (France) 17-19 juin 2026 : Devoxx Poland - Krakow (Poland) 17-20 juin 2026 : VivaTech - Paris (France) 18 juin 2026 : Tech'Work - Lyon (France) 22-26 juin 2026 : Galaxy Community Conference - Clermont-Ferrand (France) 23-24 juin 2026 : MWCP 2026 - Paris (France) 24-25 juin 2026 : Agi'Lille 2026 - Lille (France) 24-26 juin 2026 : BreizhCamp 2026 - Rennes (France) 26-27 juin 2026 : LeHACK - Paris (France) 27 juin 2026 : Asynconf - Paris (France) 2 juillet 2026 : Azur Tech Summer 2026 - Valbonne (France) 2 juillet 2026 : MCP Connect Travel Edition - Paris (France) 2-3 juillet 2026 : Sunny Tech - Montpellier (France) 3 juillet 2026 : Agile Lyon 2026 - Lyon (France) 6-8 juillet 2026 : Riviera Dev - Sophia Antipolis (France) 28-30 août 2026 : State of the Map - Champs-sur-Marne (France) 4 septembre 2026 : JUG Summer Camp 2026 - La Rochelle (France) 10-11 septembre 2026 : Nantes Craft - Nantes (France) 17 septembre 2026 : dotAI - Paris (France) 17-18 septembre 2026 : API Platform Conference 2026 - Lille (France) 18 septembre 2026 : WordCamp Bretagne - Rennes (France) 18 septembre 2026 : dotJS - Paris (France) 18 septembre 2026 : WordCamp Bretagne - Rennes (France) 22 septembre 2026 : Salon Data 2026 - Nantes (France) 22-23 septembre 2026 : Agile en Seine & IA 2026 - Paris (France) 24 septembre 2026 : OWASP AppSec Days France 2026 - Paris (France) 24 septembre 2026 : PlatformCon Paris - Paris (France) 24 septembre 2026 : React Native Connection 2026 - Paris (France) 24-26 septembre 2026 : Paris Web 2026 - Paris (France) 25 septembre 2026 : SAP Inside Track Paris 2026 - Paris (France) 28-29 septembre 2026 : 4th Tech Summit on AI & Robotics - Paris (France) & Online 1 octobre 2026 : WAX 2026 - Marseille (France) 1-2 octobre 2026 : Volcamp - Clermont-Ferrand (France) 2 octobre 2026 : DevFest Perros-Guirec 2026 - Perros-Guirec (France) 5-9 octobre 2026 : Devoxx Belgium - Antwerp (Belgium) 8-9 octobre 2026 : Forum PHP 2026 - Marne-la-Vallée (France) 12 octobre 2026 : Dev With AI - Paris (France) 22-23 octobre 2026 : Agile Tour Bordeaux 2026 - Bordeaux (France) 26 octobre 2026 : Agile Tour Montpellier - Montpellier (France) 27-29 octobre 2026 : Directions EMEA 2026 - Paris (France) 29-30 octobre 2026 : BDX I/O 2026 - Bordeaux (France) 29-30 octobre 2026 : Agile Tour Nantais 2026 - Nantes (France) 29 octobre 2026-1 novembre 2026 : Pycon FR - Biarritz (France) 30 octobre 2026 : Cloud Nord 2026 - Lille (France) 4-5 novembre 2026 : Devoxx Morocco - Casablanca (Morocco) 14-15 novembre 2026 : Capitole du Libre - Toulouse (France) 19 novembre 2026 : DevFest Toulouse 2026 - Toulouse (France) 19 novembre 2026 : Agile Laval 2026 - Laval (France) 19 novembre 2026 : OVHcloud Summit - Paris (France) 19 novembre 2026 : Codeurs en Seine - Rouen (France) 27 novembre 2026 : DevFest Paris 2026 - Paris (France) 1-3 décembre 2026 : Apidays Paris - Paris (France) 2-3 décembre 2026 : Cloud Native AI Summit Europe - Paris (France) 4 décembre 2026 : DevFest Lyon 2026 - Lyon (France) 4 décembre 2026 : DevFest Dijon 2026 - Dijon (France) 9-10 décembre 2026 : OpenSource Expérience - Paris (France) 9-10 décembre 2026 : DevOps REX - Paris (France) 10 décembre 2026 : KCD Provence - Aix-en-Provence (France) 7-9 avril 2027 : Devoxx France 2027 - Paris (France) 3 juin 2027 : Cloud Native Days France 2027 - Paris (France) 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/

Send us Fan MailAI is finally in everyone's hands, and that's exactly why it's getting risky. Grant McGaugh sits down with veteran tech leader Darrell T. Black (CIO, CTO, CDO) to discuss what it really takes to bring AI into a business without compromising trust, compliance, or the back office. We get into the difference between experimenting with a chatbot and deploying AI inside the systems that run payroll, HR, finance, and customer data.Darrell shares a grounded view of AI readiness: understand your current processes, map the real workflow (not the version on paper), define the future state, then conduct a gap and impact analysis before you automate anything. We also unpack why AI hallucinations matter, how probabilistic AI differs from deterministic technology, and why “it sounds good” is not the same as “it's accurate.” If you're thinking about agentic AI, this is where the conversation gets practical about audit trails, human oversight, and governance that can scale.We also tackle the bigger societal layer: bias in algorithms, safeguards in hiring and healthcare, and why policy often sets the tone for enterprise behavior. And Darrell leaves us with a simple warning you'll remember: you might think you're adopting an AI puppy, but you're responsible for the full-grown AI dog. If you're a founder, operator, or IT leader trying to use AI to scale responsibly, this one is for you.Subscribe for more conversations like this, share the episode with a friend building with AI, and leave a review with the biggest AI risk you want us to tackle next.Thanks for tuning in to this episode of Follow The Brand! We hope you enjoyed learning about the latest trends and strategies in Personal Branding, Business and Career Development, Financial Empowerment, Technology Innovation, and Executive Presence. To keep up with the latest insights and updates, visit 5starbdm.com.And don't miss Grant McGaugh's new book, First Light — a powerful guide to igniting your purpose and building a BRAVE brand that stands out in a changing world. - https://5starbdm.com/brave-masterclass/See you next time on Follow The Brand!

¿Cómo se construye una empresa de Inteligencia Artificial que procesa 100 millones de conversaciones al mes? . En este programa especial de Radio Geek, Ariel charla con Gustavo Maia, cofundador y CTO de Inceptia, una compañía argentina que empezó a automatizar conversaciones mucho antes de que el mundo conociera a ChatGPT . En este episodio exploramos: La evolución de la IA: De los modelos rústicos de hace 8 años a la revolución de los modelos de lenguaje actuales . Anécdotas increíbles: ¿Cómo entrenaron un bot para hablar mandarín en supermercados de Argentina cuando aún no existían modelos multilenguaje? . Ciberseguridad y Riesgos: El peligro de las voces clonadas, la inyección de prompts y cómo proteger los datos sensibles de las empresas con políticas de "retención cero" . ¿El fin de los programadores?: Gustavo analiza cómo la IA potencia a los perfiles junior y por qué la carrera de desarrollo está "más vigente que nunca" . El desafío de la voz: El manejo de la latencia y por qué la voz es la interfaz más natural para el ser humano . Una charla imperdible para entender hacia dónde va la tecnología y cómo las empresas están utilizando agentes inteligentes para escalar sus operaciones en toda Latinoamérica . ¡Dale play y sumate a esta charla de café sobre el futuro que ya llegó!

The AI XR Podcast had a massive news week and one of its best guest conversations of the year. Caspar Thykier and Connell Gauld, CEO and CTO co-founders of Zappar, joined Charlie Fink and Ted Schilowitz to talk about something deceptively simple: helping people find stuff.Zappar's new product, Spaces, is app-free indoor navigation built on the web. QR code or link in a meeting invite — your phone shows AR breadcrumbs to the nearest restroom, the right meeting room, the hospital ward three floors away. No app download. No specific hardware. No Azure dependency. Caspar put the pitch simply: it's fundamentally just helping people find stuff. Connell's vision: the same technology running in glasses indistinguishable from a regular pair, within four to five years.AI XR News: Elon Musk's $135 billion lawsuit against OpenAI went to trial in Berkeley. OpenAI's IPO may be pushed to 2027 over its CFO reporting structure and $600B CapEx problem. Meta is laying off 20% of its staff in two waves. Google earnings were up 10% while Meta got punished. Freepik rebranded as Magnifi with $230M ARR and a million paid subscribers. Samsung announced displayless AI smart glasses. Google partnered with Gucci for another AI glasses play. And Google put $40 billion into Anthropic.Key Moments:[00:03:02] Elon vs. Sam: the $135 billion trial[00:05:09] OpenAI's IPO in jeopardy — CFO structure and $600B CapEx[00:07:12] Meta's 20% layoffs and Charlie's read on bad CEO behavior[00:10:32] Freepik becomes Magnifi: $230M ARR, a million subscribers[00:13:10] Samsung Galaxy XR and Google x Gucci smart glasses[00:15:15] Google puts $40B into Anthropic — a cloud play[00:21:06] Spaces: turn-by-turn AR indoor navigation, no app required[00:41:13] 16 years in XR: how Zappar survived by being the cockroachBrought to you by Zappar, the company behind Mattercraft — the leading visual development environment for immersive 3D web experiences. Start building at mattercraft.io.Watch the Full episode on YouTube: https://youtu.be/HmOXA4HgBmo. Subscribe to the AI XR Podcast wherever you listen to podcasts. Hosted on Acast. See acast.com/privacy for more information.

For more thoughts, clips, and updates, follow Avetis Antaplyan on Instagram: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.instagram.com/avetisantaplyan⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠In this episode of The Tech Leader's Playbook, Avetis Antaplyan sits down with Mike Krupit, a former CTO, COO, CEO, founder, executive coach, and strategic advisor, to explore what it really takes to build companies that can scale without becoming dependent on one leader.Mike shares how he grew from software engineer into executive leadership and why he believes leadership is the transferable skill that matters most. He opens up about early mistakes as a manager, including learning that leading people requires a very different skill set than solving technical problems. From there, the conversation moves into one of Mike's core leadership philosophies: the best leaders make themselves dispensable by building strong teams, clear systems, and healthy communication habits.Avetis and Mike also discuss succession planning, founder-led sales, founder mode, emotional maturity, direct feedback, boundaries, forecasting, and why leaders must understand where profit actually comes from inside the business. Mike brings a practical, thoughtful perspective shaped by decades of operating, scaling, advising, and coaching.This episode is a valuable listen for founders, executives, and tech leaders who want to build stronger teams, remove themselves as the bottleneck, and lead through uncertainty with more clarity and discipline.TakeawaysLeadership is the transferable skill that allowed Mike Krupit to move from software engineering into CTO, COO, CEO, founder, coach, and advisor roles.Great leaders do not become more valuable by making themselves indispensable. They become more valuable by building teams that can operate without them.Communication is one of the most important operating systems in a growing company, especially in remote, hybrid, or fast-changing environments.Leaders should aim to be wanted, not needed. If the business falls apart without you, that is not proof of your value. It is proof of a bottleneck.Direct feedback only works when there is trust. Leaders need to make enough relational “deposits” before they can make hard feedback “withdrawals.”Founders often get stuck because the people, processes, systems, or markets that worked at one stage are no longer strong enough for the next stage.Chapters00:00 Introduction: Building Teams That Thrive Without You02:19 Why Technical Skill Alone Does Not Make Someone a Great Leader05:42 The Contrarian Case for Becoming Dispensable08:39 Why Building a Self-Sustaining Team Creates More Opportunity12:43 Why Communication Is Gold in Remote and Hybrid Teams14:48 Succession Planning Before You Think You Need It18:39 How Scalable Organizations Prevent Growth Bottlenecks24:50 Carefrontation, Trust, and Handling Workplace Friction27:14 Why Radical Candor Fails Without Real Trust30:40 Emotional Maturity and the Value of Outside Perspective36:22 Where Founders Get Stuck When Moving From Traction to Scale38:55 The Problem With Misusing Founder Mode45:45 Why Saying No Is an Underrated Competitive Advantage48:14 The Not To-Do List and Getting Work Off the Founder's Plate50:12 Finding the Customer Segments That Actually Drive Profit55:08 Why Leaders Need to Look Beyond Revenue58:38 Forecasting, Scenario Planning, and Learning From Missed Targets01:00:17 Why Quarterly Planning May Beat Annual Planning in Uncertain Markets01:05:08 Mike's Favorite Leadership Book and the Power of VulnerabilityMike Krupit's Social Media Link:https://www.linkedin.com/in/mkrupit/Mike Krupit's Website Link:https://www.trajectify.com/mike-krupitResources and Links:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.hireclout.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.podcast.hireclout.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/hirefasthireright⁠

In this episode of Elixir Wizards, Charles Suggs and Emma Whamond are joined by Mike Ratliff, co-founder and CTO of GridVar, to talk about the role software plays in the changing energy infrastructure. With over 30 years of experience in technology, Mike shares the path that took him from the early internet and cloud computing into energy and utility software, along with what he has learned about staying adaptable as the industry continues to shift. Mike explains why building software for the power grid comes with a very different set of constraints than building a typical web application and breaks down some of the challenges utilities are facing, including grid interconnection delays, power quality, increasing energy demand, and the growth of distributed energy resources. We also discuss demand response, microgrids, virtual power plants, battery storage, and how software can help utilities better understand and manage a grid that is becoming more complex. Mike also explains why Elixir and the BEAM are a strong fit for always-on energy systems, how an Erlang MQTT server first led him into the ecosystem, and what it takes to introduce Elixir inside an established organization. The episode closes with a broader look at AI-assisted development, the value of domain expertise, and why technical leaders still need communication, judgment, and a compelling story to move important ideas forward. Key topics discussed in this episode: Mike Ratliff's path from software to energy technology Lessons from three decades of technology industry change The value of generalists in modern software engineering Why good technical judgment remains difficult to replace Building software that interacts with physical infrastructure Why utility technology adoption can move slowly Understanding today's grid interconnection backlog Power quality challenges affecting new grid connections Using simulation to accelerate utility engineering studies Centralized and distributed approaches to grid management How solar energy creates the duck curve Using demand response to balance electricity consumption Edge devices supporting real-time grid coordination Microgrids and resilience in distributed energy systems Cybersecurity considerations for increasingly connected power grids Preparing utility infrastructure for extreme weather events Battery storage and the growth of renewable energy How virtual power plants coordinate distributed resources Why Elixir works well for energy software BEAM reliability for always-on utility infrastructure Discovering Elixir through Erlang and MQTT Building an early virtual power plant with Elixir Making the business case for an Elixir migration Why technical leadership also requires effective storytelling Links Mentioned: GridVAR https://www.gridvar.com/ GridPoint https://www.gridpoint.com/ https://en.wikipedia.org/wiki/2025_Iberian_Peninsula_blackout Demand Response: https://en.wikipedia.org/wiki/Demand_response Virtual Power Plant: https://en.wikipedia.org/wiki/Virtual_power_plant Microgrid: https://en.wikipedia.org/wiki/Microgrid Volts podcast: https://www.volts.wtf/

Yahoo is not just adding AI on top of existing products. It is using AI across product experiences, internal tools, engineering workflows, and modernization efforts.In this episode of The Tech Trek, Lee Zen, CTO at Yahoo, joins Amir Bormand to talk about modernizing at massive scale, moving from on prem infrastructure to the cloud, rebuilding internal tools with AI, and how engineering organizations need to rethink process when agents can move faster than people.Lee also shares how Yahoo views AI as a coworker, not just a tool, and why the next bottleneck in software delivery may be human judgment.Practical Takeaways• Modernization at scale often means operating in two worlds at once, keeping proven systems running while new cloud based services move faster.• AI can help teams move past legacy tools by reverse engineering requirements and rebuilding modern versions from scratch.• The real unlock is not only code generation. It is connecting agents to documents, chats, emails, production context, and internal knowledge with the right permissions.• As agents speed up execution, engineering teams need to rethink where human approval, judgment, and review should live.• The build versus buy equation is changing because some tools that were too expensive to build before may now be realistic to create internally.Timestamped Highlights00:31, Yahoo's mission and why the internet still feels hard to navigate02:01, Where AI fits across Yahoo products and engineering work03:30, The challenge of moving from on prem data centers to cloud based infrastructure05:27, How Yahoo has used AI to rebuild internal tools and leave technical debt behind07:25, Why agents need access to engineering context, not just code10:20, AI as a coworker and the shift from human speed to machine speed16:27, Why parts of the SDLC may need to change as AI increases delivery speedOne Line That Stuck“AI as a coworker, not just as a tool.”The Tech Trek is for technical leaders thinking through how teams build, operate, modernize, and adapt as AI changes the work. Subscribe or follow for more conversations with engineering, product, data, and technology leaders.

Send us Fan MailXD Huang is the CTO of Zoom, where he is leading the company's shift from hosting meetings to completing work, a vision he calls conversation to completion. He joined Zoom after 30 years at Microsoft, where he served as Azure AI CTO and a Technical Fellow and helped ship Azure OpenAI Services. A pioneer in speech recognition for four decades, he led the Microsoft team that first reached human parity in transcribing conversational speech. Recorded live from the floor of HumanX 2026, this lightning round explores what it takes to turn everyday conversation into finished work.XD and host Dan Turchin dig into Zoom's federated approach to AI, the cost and accuracy tradeoffs hidden inside every model decision, and why, after a career spent solving the hardest technical problems, he believes taste and judgment are the qualities that still belong to people.What You'll LearnWhat "conversation to completion" means for the way work actually gets doneHow Zoom's federated approach combines multiple frontier models into one stronger resultWhy every AI decision is a tradeoff between cost and accuracy, and how to control for itHow an open ecosystem lets the same AI work across Zoom, Google, Microsoft, and in-person meetingsWhy taste and judgment are the qualities XD hires for that AI cannot replace

Many people said GPU compute would become a commodity. The opposite happened — and a new category of "neoclouds" is now racing to build the physical backbone of the AI boom. Stephen Balaban, co-founder and CTO of Lambda, explains why the conventional wisdom was exactly wrong, why we're still massively underbuilding compute, and what it actually takes to stand up a gigawatt-scale AI factory: land, power, cooling, networking, and a financing stack most people have never heard of. We go deep on the physics of how energy becomes tokens, NVIDIA's real moat, why a 2023 GPU can lease for more today than the day it shipped, and Stephen's provocative vision of "neural software." Plus the wild Lambda origin story — from a facial recognition startup to a camera in a baseball cap to a near-billion-dollar cloud business. This is the state of AI compute in 2026, from inside one of the companies building it.(00:00) — Cold open(01:21) — Why GPU compute was never a commodity(02:45) — The H100 price index and what it gets wrong(04:02) — The real moat: technology or financing?(05:57) — Winner-take-all, or room for many neoclouds?(06:48) — Are we overbuilding or underbuilding AI compute?(09:26) — What if AI gets 10x more compute-efficient?(10:44) — The real bottleneck: land, power, and shell(11:38) — The backlash against data centers — and the misinformation(15:00) — Opening the hood: from photons to tokens(17:11) — Extracting more value from the same chip(19:26) — Frontier inference and distributed training, explained(23:26) — What actually drives compute cost(25:21) — Lambda's chip stack and the NVIDIA relationship(26:17) — A multi-silicon world? CUDA, CUDNN, and NVIDIA's real moat(28:59) — Networking, storage, and the one-click cluster(34:46) — Renting vs. owning, and full vertical integration(36:24) — How global is Lambda? Does location still matter?(38:44) — The financing stack: off-take agreements, SPVs, and credit(41:16) — Why a 2023 GPU leases for more today(42:36) — A futures market for compute?(43:54) — Origin story: facial recognition, Perceptio, and Apple(47:03) — The Lambda hat and Dream Scope(48:59) — The $60K bet that became a cloud business(52:00) — Holding the team together through the hard times(54:30) — Bringing on a new CEO; Stephen as CTO(57:33) — Matching xAI on high-velocity deployment(59:29) — "AI won't write software — it will become the software"(01:01:30) — Neural software vs. vibe coding(01:04:25) — Do agents change the compute layer?(01:06:14) — Self-assembling software inside Lambda(01:08:18) — Gigawatt-scale AI factories(01:08:57) — One person, one GPU(01:12:04) — Hot takes: overrated and underrated in AI

In this episode of the Kubernetes Bytes podcast, Bhavin talks to Rob Zuber, CTO at CircleCI about all things Software Delivery. The discussion starts by talking about the evolution of Software Delivery over the last decade, but then dives into how Vibe coding impacts CI pipelines. Rob also shares his insights about running an AI-first engineering organization at CircleCI. Listen to learn more! Check out our website at https://kubernetesbytes.com/ Show Notes: https://www.linkedin.com/in/robzuber/ https://circleci.com/ https://circleci.com/blog/

There's a particular kind of pressure that comes with maintaining software at the very bottom of someone else's stack. ClickHouse lives in exactly that spot: roughly 1.5 million lines of mostly C++ and tens of millions of tests every single day.So what happens when you start introducing Rust into a codebase like that? Not as a rewrite, but linked into a C++ server with a CMake build process that has to be reproducible and FIPS compliant? In today's episode, we get into the messy, interesting reality. We talk about the question of whether the hardest part is Rust the language or Rust the ecosystem.My guests come at this from two very different angles. Alexey Milovidov is the creator of ClickHouse and its CTO. He started the project back in 2009 and has spent decades thinking about performance, correctness, and what it actually takes to build a production database. Austin Bonander is a Senior Software Engineer at ClickHouse and a renowned open-source maintainer of sqlx. He works close to the Rust tooling and the CLI. Together we talk about where Rust fits inside a C++ monolith, what it would take for Rust to earn a rewrite of core components, supply-chain and compliance headaches, and whether Rust is heading for the same accumulation of regrets that every "trendy" language eventually accumulates.

In this episode, host Frank La Vigne and his co-host Candace Gillhoolley sit down with Hillary Ogbodo, CTO of Almond Inc. and a passionate quantum researcher based in Nigeria. The conversation journeys from the challenges of fintech and credit systems in Africa, through Hillary's personal fascination with quantum teleportation, to the future of quantum encryption and security. They dive deep into quantum key distribution (QKD), real-world deployment hurdles, the fast-moving international race in quantum technology, and why the next five years could see QKD go from academic pilot to critical infrastructure. Whether you're a quantum novice or an aficionado, this episode unpacks the global implications of quantum security and what it means for industries from finance to defense—plus, some unexpected stories about cryptography, satellites, and the power of curiosity.LinksHilary on LinkedIn - https://www.linkedin.com/in/hillary-ogbodo-6352391b0/Watch on YouTube - https://www.youtube.com/watch?v=frJ9wtou-hsTime Stamps00:00 Fixing credit in Nigeria05:47 Explaining quantum data encryption09:01 Detecting eavesdroppers with error rates11:54 Discussing global quantum computing advancements15:34 Quantum computing secrecy16:41 Discussing QKD vs PQC algorithms21:56 Getting into cryptography after 200224:31 Getting into quantum computing27:26 Quantum teleportation research in China30:35 Rural broadband accessibility issues34:43 Wells Fargo tests quantum security39:32 Quantum key distribution advancements40:29 Discussing quantum resilient algorithms44:04 Discussing encryption with engineers

Send us Fan MailHow do you scale a Home Services Business past the $10M mark without losing your Company Culture or selling out to Private Equity? In this episode of Let's Vent, we sit down with the Owners of Go Green Plumbing, Heating & Air, Alicia Green and Pete Green to break down the exact operational tips, strategies and ideas they implemented to build an independent trade powerhouse. Connect with out Guests: Go Green Plumbing: https://gogreenplumb.com/Alicia Green: https://www.linkedin.com/in/alicia-green-14bb3495/Pete Green: https://www.linkedin.com/in/pete-green-25496072/ Connect with our sponsor: https://freeagency.aiTime Stamps: 01:10 - Introducing Pete & Alicia Green from Go Green Plumbing02:18 - Pete Green's Transition from Programming to "Chief Technology Officer"03:45 - The Truth About Company Culture: There are Always Ups & Downs05:15 - What Happens When People Don't Fit the Mold?06:13 - Shifting from Professional to Lightheartedness in Tough Times07:45 - The Go Green Hiring Process: Do You Let Your Team Make the Decisions?09:20 - The "Princess Castle" Lego Challenge & Out Of Comfort Zone Testing13:16 - Quick to Hire, Slow to Fire: Should Be The Opposite Way Around? 14:15 - The ROI of Training16:55 - Joining Nextstar Network & Implementing Soft Skills Training17:58 - The Academy Structure: Weekly Breakdown of Trades & Certifications22:38 - 60% of Our Business Wouldn't Exist Without the Training Academy23:45 - The Myth of the Unicorn Employee25:03 - Balancing IQ and EQ: Why Technical Skills and Soft Skills Are 50/5027:50 - The Chaos of Early Training Programs vs. Today's Managed Structure29:15 - Building a Clear Pay Plan and Incentivized Levels32:14 - Advanced Lab Training: Partnering with Ultimate Tech Academy in Arkansas33:20 - The Tax Perspective: Are you Paying More? 34:00 - Facing Private Equity (PE) in the Trades38:12 - The Positive Side of PE: Injecting Business Logic and Real Value into the Trades42:50 - Growing Big with Zero Outside Capital45:15 - Why Cheap Prices Come at the Expense of Employees?47:50 - Built on Community assistance: The Go Green Community Promise Program49:35 - "Owned by Google": Venting About the Real Monopolies Dictated by the Industry53:48 - Where Does the Cash Flow? Canadian Agencies vs. Local Greensboro Wages57:25 - Understanding KPI Pressures and Employee Mass Exits58:35 - Why Technicians Stay for Culture and Run from Structure Changes01:01:40 - The Flaw in Flipping: Why Passing Hands Leads to Volume Loss01:05:43 - Processing the Reality of Multi-Billion Dollar Acquisitions in the Trades01:07:55 - The Challenge to Maintain Massive Service Value Over Time01:10:17 - Will AI Supplement or Completely Replace Modern Jobs?01:12:00 - How To Choose a Software That Actually Helps Reduce Workload?01:12:42 - Why the CTO's Workload Increases When Implementing AI?01:13:55 - The Sandbox Mindset: Starting From a Place of Natural Curiosity01:18:15 - Managing Scope Creep When Coding with Accelerated AI Speed01:21:38 - How Non-Technical Leaders Can Leverage Claude?01:23:59 - The "Twice a Day" Automation Rule: Building Your Operational Task List01:28:46 - The Importance of Context and Direct Communication to Create a Prompt correctly01:31:12 - Ostrich Mentality: Why Ignoring the Automation Wave Will Cost People Their Careers01:31:47 - Focus on Eliminating Time Rather Than Solving the World's Problems01:34:00 - How To Hold People Accountable Without Destroying The Company Culture ?01:34:48 - Facts Over Feelings: Gathering Documentation and Data Before Tough Conversations01:38:25 - Final Thoughts on How to Build a Scalable Organization

In this Engineering Matters Awards episode, we celebrate the winners of the Health & Safety Champion category, which recognises engineers who are changing how we protect people in some of the world's most challenging environments. Engineering is often measured by what we build: the bridges, tunnels, infrastructure, and systems that shape our world. But true engineering excellence is also defined by how we build, and how we protect the people who make it possible. This episode explores how innovation, preparation, and predictive technology are helping to reduce risk and improve safety across the board. Our two award-winning entrants are: Scott Shipley, Director of Swiftwater and Whitewater Parks at Caliber Engineering, who is transforming emergency response training by creating realistic, controlled environments where first responders can prepare for extreme flooding scenarios. Monica Calle, co-founder and CTO of Geprode, is using predictive analytics to address one of underground construction's biggest challenges: geological uncertainty.The post #369 Health & Safety Champion – Engineering Matters Awards first appeared on Engineering Matters.

There's a quiet crisis running through IT leadership that nobody names in the meeting: the certainty that you're in over your head, and that any minute now, someone's going to find out. It comes with the job. And for women in tech, there's a second layer underneath.In this episode of The Catalyst, from Softchoice, a World Wide Technology Company, host Katey Teekasingh sits with three women who've lived imposter syndrome from every altitude: an IT director who wasn't the first pick for her role, a five-time CTO who argues the field itself is the problem, and an MIT scientist who built a whole technology field while the engineering world dismissed her work — then won one of its highest honors.Their answers about how to lead through doubt without faking it will reframe what most IT leaders quietly carry.Key takeawaysWhy getting promoted for being the best engineer sets you up to feel like a fraud — and why it's structural, not personalThe second layer of doubt women in tech describe — the “merit, or a box to check?” question that follows them into every roomHow a top scientist reacted to winning one of engineering's highest honors (hint: her first thought was “is this a scam?”)Three different strategies for leading through uncertainty — without pretending it isn't thereGuest credentialsRosalind Picard, ScD — Founder and Director of the Affective Computing Research Group at the MIT Media Lab; co-founder of Empatica and Affectiva; 2026 recipient of the IEEE Medal for Innovations in Healthcare Technology.Meri Williams — Chief Technology Officer at Pleo; five-time CTO across fintech, retail, banking, and biotech; previously scaled the team that built GOV.UK at the UK's Government Digital Service.Julie Szaj — Director of Organizational Change Management at Washington University; 25+ years across education, learning design, and technology leadership.About Our SponsorThis episode is brought to you by HP, in partnership with Softchoice. HP helps organizations shape the future of work with AI-powered solutions across devices, printing, and services. Learn more at https://www.softchoice.com/technology-partners/hpHashtags#TheCatalyst #Softchoice #HP #ITLeadership #ImposterSyndrome #WomenInTech #CTO #DigitalTransformation #MidMarketITShow Notes & ResourcesConnect with our guests:Rosalind Picard — MIT Media Lab Affective Computing Group: media.mit.edu/groups/affective-computingMeri Williams — Pleo: pleo.ioJulie Szaj — Washington University in St. Louis: wustl.eduReferenced in the episode:Affective Computing (1997) by Rosalind Picard — the founding text of the fieldIEEE Medal for Innovations in Healthcare Technology — 2026 recipient: Rosalind PicardEmpatica — wearable health technology co-founded by Picard: empatica.comLearn more about HP's partnership with Softchoice: https://www.softchoice.com/technology-partners/hpThe Catalyst by Softchoice is the podcast dedicated to exploring the intersection of humans and technology. 

Ofer Maor, co-founder and CTO at Mitiga, joins host Brian Contos in this episode of Mitiga Mic to discuss the origin story of Mitiga. This series is brought to you by Mitiga, the leader in Agentic Runtime Security for cloud, SaaS, and AI, delivering Zero-Impact Breach Prevention. To learn more about our sponsor, visit https://mitiga.ai.

Иван Лукьянов, внешний CTO, в гостях у Андрея Смирнова из Weekend Talk. Выпуск подкаста «Свободный слот» про негативную ОС – https://clc.to/SjUEvA Телеграм-канал Андрея Смирнова – https://t.me/itsmirnov 00:00 Начало 00:13 Чем можешь быть известен моей аудитории? 01:25 Рекламная пауза 02:38 Рабочий день внешнего CTO и путь от инженера до директора Авито 16:01 Почему Иван ушёл из корпорации и как получал первые внешние заказы? 29:06 Как коучинг, подготовка спикеров и музыка влияют на зрелость руководителя? 54:03 Спикерский квартирник, планы на будущее и полномочия внешнего CTO 1:02:16 Кем бы ты стал, если бы не было IT-сферы? 1:04:29 Почему построил домик именно под Клином и как поживает военный городок? 1:05:48 В чём сейчас главная проблема современного IT? Ссылки по теме: 1) Личный сайт Вани – https://lukyanov.me/ivan 2) Прошедший спикерский квартирник – https://lukeanu.timepad.ru/event/3780302/ 3) Тот самый лучший концерт Вани – https://youtu.be/JQa3w2odM_w 4) Доклады Вани про менеджмент – https://lukyanov.me/video

VDI (Virtual Desktop Infrastructure) and Desktop as a Service (DaaS) have been arriving “real soon now” for the past couple of decades. Will the advent of vendors' AI spyware (as Google is introducing through Chrome) be the accelerant that finally makes it happen? John and Johna discuss why the challenges in this brave new AI-enabled... Read more »

Hoje o papo é sobre topologia de times e o impacto da IA nas organizações! Neste episódio, conversamos com Manuel Pais, coautor do livro Team Topologies, sobre como os times continuam sendo uma peça central para a entrega de valor, mesmo em um cenário de agentes de IA, automação, organizações mais enxutas e novas formas de trabalho. Vem ver quem participou desse papo: Paulo Silveira, o host que arredonda para cima Vinny Neves, cohost, dev e professor na Alura Manuel Pais, coautor do livro Team Topologies Mauricio Aniche, CTO da Alura  Links:  Livro Team Topologies Banco do Brasil Digital Week  Lei de Conway Paulo Silveira Comenta: Da Hierarquia à Inteligência, de Jack Dorsey – Hipsters Ponto Tech #514 Livro Sooner Safer Happier Vá para o Vale do Silício com Paulo Silveira, Marcell Almeida, Fabrício Carraro e Marcus Mendes na “Imersão IA Sob Controle e Alura no Vale do Silício“! Vagas limitadas, corra para reservar a sua. TechGuide.sh, um mapeamento das principais tecnologias demandadas pelo mercado para diferentes carreiras, com nossas sugestões e opiniões. #7DaysOfCode: Coloque em prática os seus conhecimentos de programação em desafios diários e gratuitos. Acesse https://7daysofcode.io/ Produção e conteúdo: Alura Cursos de Tecnologia – https://www.alura.com.br Edição e sonorização: Rede Gigahertz de Podcasts

In this episode, Amanda Brummitt sits down with Sury Gupta, co-founder and CTO of TrialIQ, to talk about bringing clinical research directly to the point of care. Sury shares how TrialIQ acts as an "enablement layer" that helps community practices and infusion centers become trial-ready sites by automating trial matching, patient identification, site readiness, and physician education. We dig into TrialIQ's new integration with WeInfuse, and how it opens a new service line for infusion providers without disrupting their existing clinical operations. Sury explains how it works in plain terms: the customer success team builds a site profile of each center, an AI system matches the patient population and the center's capabilities to active trials, and opportunities surface in a trial discovery dashboard showing the trial, sponsor, financials, and patient counts. Nothing moves without the practice's opt-in, and patient data never leaves the platform. The integration also works in reverse, connecting trial patients to nearby infusion centers that have the right capabilities. A few highlights from the conversation: Why infusion centers are one of the most underutilized and obvious places for clinical research, despite having skilled staff, the right infrastructure, and motivated patients. How the platform helps match patients with rare conditions to trials that would be nearly impossible to find manually. Why the platform is free to infusion centers: sponsors and CROs cover the cost, and participation can open a new service line for centers. What onboarding looks like, including a business associate agreement, a one-click data integration with WeInfuse, and a target turnaround of just a couple of weeks. Whether you're curious about clinical research or ready to add it as a service line, this conversation is a great place to start. If you'd like to learn more about becoming a trial-ready site, reach out to the TrialIQ team at info@trialiq.ai.

VDI (Virtual Desktop Infrastructure) and Desktop as a Service (DaaS) have been arriving “real soon now” for the past couple of decades. Will the advent of vendors' AI spyware (as Google is introducing through Chrome) be the accelerant that finally makes it happen? John and Johna discuss why the challenges in this brave new AI-enabled... Read more »

Welcome back to another episode of Building MarsBased, the series where we share the completely transparent reality of how we have built our development agency since 2014.In this episode, we pull back the curtain on our 18-month journey of adopting Artificial Intelligence within our web and mobile development workflows. The rapid evolution of large language models has completely transformed the engineering landscape. However, finding a process that actually worked for a professional agency took a lot of trial, error, and strategic pivoting. We structured our transition into three clear parts, starting with a Divergence Phase in early 2025. During this time, we went full throttle and let our 30-person team test every tool on the market, from Cursor and Replit to ChatGPT and Raycast AI. While this freedom was an incredible learning experience, it also led to widespread analysis paralysis and left us paying for costly, unused annual subscriptions for tools that the market deprecated just weeks later.Everything changed when we entered our Convergence Phase in early 2026. We made the executive decision to standardize our entire tech stack around Claude Code and introduced a unified RPI (Research, Plan, Implement) methodology across all teams. By putting everyone on the exact same setup, we were finally able to benchmark quality and track results. This standardization triggered an immediate shift from minor marginal gains to a staggering 20% to 50% increase in developer productivity across our client projects.Today, we are operating in a continuous Refinement Phase. Through our daily internal knowledge-sharing sessions called Martian Tapas, our team constantly tests the boundaries of our setup. We are optimizing token consumption with specialized plugins like Caveman and RTK, while simultaneously experimenting with local AI models to ensure our agency maintains long-term regional independence from US-centric, VC-subsidized platforms.Watch the full episode to see exactly how we structured this rollout and how you can apply these professional frameworks to your own development team. If you have any specific questions about our infrastructure, drop a comment below and we might have our CTO, Xavi, break it down in a future video.If you appreciate honest, data-driven insights into the business of software development, please Like, Subscribe, and Share this episode!Support the show

As amazing as you are, I'm sure, you'll never create an organization that's filled with people who'll do everything just like you would. The concept of minions never works well. This week's podcast episode is about setting up your organization better, and it pays off not just for them, but also means you'll be able to lead better!Grab a copy of my books, Capitalizing Your Technology and  The Tech Executive Operating System.Subscribe to the best newsletter for tech executives.For any questions or comments, reach out to me directly: aviv@avivbenyosef.com

En Capital Intereconomía arrancamos la jornada con Los Desayunos de Capital junto a Javier Olaso, socio responsable de Seguros de KPMG en España, para analizar el presente y el futuro de uno de los sectores con mayor peso en la economía española. Durante la entrevista repasamos la evolución del negocio asegurador, su aportación al PIB y los desafíos que afronta en un entorno marcado por unos tipos de interés más elevados y una inflación que continúa condicionando tanto la rentabilidad como el comportamiento de los clientes. También analizamos si el sector necesita ganar tamaño para mejorar su eficiencia y si podrían producirse nuevos movimientos corporativos en los próximos años. La inteligencia artificial ocupa igualmente un lugar destacado en la conversación. Abordamos cómo esta tecnología está transformando la gestión del riesgo, la relación con el cliente, la suscripción de pólizas y la detección del fraude, así como las perspectivas para los segmentos de vida y no vida de cara a 2026. A continuación, entrevistamos a Javier López, CEO de SilverGold Patrimonio, para tomar el pulso al mercado de los metales preciosos tras las fuertes correcciones registradas en los últimos meses. Analizamos si el actual escenario abre nuevas oportunidades de inversión en oro y plata, cuál es el papel que pueden desempeñar dentro de una cartera diversificada y qué diferencias existen entre invertir en metal físico, productos financieros o compañías mineras. Además, abordamos cómo ha evolucionado la percepción del oro entre los inversores, pasando de ser un activo asociado exclusivamente a las crisis a convertirse en una herramienta de planificación patrimonial y diversificación a largo plazo. La jornada se completa con H2 Intereconomía, donde hablamos con Rafael Luque, CEO de Ariema, y Fernando Isorna Llerena, fundador y CTO de SailH2, para analizar el desarrollo de proyectos de hidrógeno verde en España. Conoceremos los principales proyectos que impulsa la compañía, el avance de la estación de servicio de hidrógeno “H2 Green La Isla” en Sevilla, las perspectivas de rentabilidad del negocio y las oportunidades que ofrece la financiación participativa para pequeños inversores interesados en la transición energética y las nuevas infraestructuras sostenibles.

What does it actually take to build AI for 70 crore users?Vikram sits down with Rahul Chowdhury -  co-founder and CTO of PhonePeto talk about how India's most scaled fintech is approaching AI. Not with hype or a top-down mandate, but with a quiet, deliberate, engineering-first philosophy that started four years ago with a small team focused on making developers happier.Rahul shares the inside story of PhonePe's AI journey from building their own LLM gateway and Agent Hub, to launching AI search with Microsoft, to betting on on-device models for privacy and cost. And it ends with the biggest idea of all: India's DPI stack has spent a decade making data AI-ready. The opportunity now is to use it to build the bank branch of one — truly personalized financial products for every Indian.If you're a founder, engineer, or product leader trying to understand where India's AI story is really headed, don't miss this.What you'll learn

Nearly every marketing leader has been told to "do more with AI" — and many of them are now sitting on a pile of pilots, a growing bill, and not much to show their CFO. So why is it that adoption of AI in marketing is so high, while the number of organizations actually getting predictable returns from it is so low?Agility requires the discipline to reimagine how work gets done before automating it — because pointing AI at a broken process just produces a faster broken process.Today, we're going to talk about:- Why so many enterprise AI initiatives stall between ambition and production, and what separates the organizations that succeed from the ones that quietly cancel their projects- How marketing and CX teams can move from disconnected experiments to a governed, agent-powered operating model that turns a brief into live 1:1 engagement- How to make the economics of AI predictable — so the people approving these investments can actually forecast both outcomes and costTo help me discuss this topic, I'd like to welcome, Don Schuerman, CTO & Head of Marketing at Pega. About Don Schuerman As CTO and Vice President of Marketing & Technology Strategy at Pegasystems, I see my role as being a "Chief Translation Officer" – bridging the gap between cutting-edge technology and real-world business value. With 25 years of experience in orchestration and AI technology, I'm passionate about translating complex technical concepts into meaningful solutions that drive digital transformation for global organizations. My approach to technology leadership has been shaped by an unexpected source: 20 years of improv comedy at ImprovBoston's Mainstage. The skills I honed there – active listening, storytelling, and thinking on my feet – now help me connect with both technical teams and business leaders. It's where I also met my wife, proving that sometimes the best partnerships form when you say "yes, and..." At Pega, I lead the intersection of technology and go-to-market strategy across our enterprise AI decisioning and workflow automation platform. My focus is two-fold: translating the power of technology into tangible value for our Fortune 500 clients, while ensuring our technology roadmap reflects the evolving needs of these organizations. Don Schuerman on LinkedIn: https://www.linkedin.com/in/donschuerman/ ---------- Resources ---------- : https://www.pega.com Pega provides the leading AI-powered platform for enterprise transformation. The world's most influential organizations trust Pega's technology to reimagine how work gets done by automating workflows, personalizing customer experiences, and modernizing legacy systems. Since 1983, Pega's scalable, flexible architecture has fueled continuous innovation, helping clients accelerate their path to the autonomous enterprise. Learn more at Pega.com We're proud to be a media partner for #MAICON26 - Oct. 13-15! Learn how AI can power your marketing and business and help you grow smarter. Use code AGILE150 to save! https://aglbrnd.co/r/7fe458ced0f04658Reach your customers with Reddit. Spend $500 in ad spend, get $500 back in ad credit! Learn more: https://advertalize.com/r/491818c79fb1873fDon't miss We Make Future - the International Festival of Innovation in AI, Tech, and Digital Marketing, June 24-26 in Bologna. Learn more: https://aglbrnd.co/r/c80991afff416bb2The most influential minds in software, AI, and engineering leadership will be at WeAreDevelopers World Congress North America, September 23-25 in San Jose. Learn more: https://aglbrnd.co/r/60a7299222a7bcf1 Enjoyed the show? Tell us more at and give us a rating so others can find the show at: https://aglbrnd.co/r/faaed112fc9887f3 Don't miss a thing: get the latest episodes, sign up for our newsletter and more: https://aglbrnd.co/r/35ded3ccfb6716ba Check out The Agile Brand Guide website with articles, insights, and Martechipedia, the wiki for marketing technology: https://www.agilebrandguide.com Hosted on Acast. See acast.com/privacy for more information.

Interview with Shiva Pillay from Veeam Safe AI at Scale AI investment is exploding, yet nearly 90% of enterprise initiatives fail because the data powering AI cannot be trusted. That's the uncomfortable truth the industry is facing right now. Safe AI at scale requires more than just great models—it demands trusted, governed, and recoverable data. This segment is sponsored by Veeam. Visit https://securityweekly.com/veeam to learn more about them! Segment resources: Veeam Launches New Data and AI Trust Maturity Model to Help Organizations Benchmark AI Readiness Topic: Sure, we know how initial access works, but what about lateral movement? A special topic segment where we're joined by Albert Estevez Polo, field CTO for Zero Networks (a community guest, not a podcast sponsor). Zero Networks just released some very interesting data on what attackers are doing after they gain access to victim's environments and how they're doing it. Segment Resources: Link to report page Weekly Enterprise Security News Finally, in the enterprise security news, Funding and acquisitions Good news, Mythos isn't dangerous anymore! An excellent breach analysis Cyber insurance rates are dropping, but there's a catch CISA updates vulnerability remediation guidance Zoom calls are worse than you think, and maybe not for the reasons you think Remember when it was illegal to rip DVDs? 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-463

Interview with Shiva Pillay from Veeam Safe AI at Scale AI investment is exploding, yet nearly 90% of enterprise initiatives fail because the data powering AI cannot be trusted. That's the uncomfortable truth the industry is facing right now. Safe AI at scale requires more than just great models—it demands trusted, governed, and recoverable data. This segment is sponsored by Veeam. Visit https://securityweekly.com/veeam to learn more about them! Segment resources: Veeam Launches New Data and AI Trust Maturity Model to Help Organizations Benchmark AI Readiness Topic: Sure, we know how initial access works, but what about lateral movement? A special topic segment where we're joined by Albert Estevez Polo, field CTO for Zero Networks (a community guest, not a podcast sponsor). Zero Networks just released some very interesting data on what attackers are doing after they gain access to victim's environments and how they're doing it. Segment Resources: Link to report page Weekly Enterprise Security News Finally, in the enterprise security news, Funding and acquisitions Good news, Mythos isn't dangerous anymore! An excellent breach analysis Cyber insurance rates are dropping, but there's a catch CISA updates vulnerability remediation guidance Zoom calls are worse than you think, and maybe not for the reasons you think Remember when it was illegal to rip DVDs? 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-463

Interview with Shiva Pillay from Veeam Safe AI at Scale AI investment is exploding, yet nearly 90% of enterprise initiatives fail because the data powering AI cannot be trusted. That's the uncomfortable truth the industry is facing right now. Safe AI at scale requires more than just great models—it demands trusted, governed, and recoverable data. This segment is sponsored by Veeam. Visit https://securityweekly.com/veeam to learn more about them! Segment resources: Veeam Launches New Data and AI Trust Maturity Model to Help Organizations Benchmark AI Readiness Topic: Sure, we know how initial access works, but what about lateral movement? A special topic segment where we're joined by Albert Estevez Polo, field CTO for Zero Networks (a community guest, not a podcast sponsor). Zero Networks just released some very interesting data on what attackers are doing after they gain access to victim's environments and how they're doing it. Segment Resources: Link to report page Weekly Enterprise Security News Finally, in the enterprise security news, Funding and acquisitions Good news, Mythos isn't dangerous anymore! An excellent breach analysis Cyber insurance rates are dropping, but there's a catch CISA updates vulnerability remediation guidance Zoom calls are worse than you think, and maybe not for the reasons you think Remember when it was illegal to rip DVDs? All that and more, on this episode of Enterprise Security Weekly. Show Notes: https://securityweekly.com/esw-463

In this episode of the American Dream Factory Podcast, Nick Smoot sits down with Morgan Linton, co-founder and CTO of Bold Metrics, early Sonos employee, AI builder, and one of the most compelling people experimenting at the edge of artificial intelligence.Morgan's path is not linear, which is exactly what makes it valuable. He studied computer engineering and computer science at Carnegie Mellon, then turned down traditional software jobs to become an unpaid intern in the DreamWorks story department. From there, he joined Sonos before the product had launched, when the company had only a few months of runway left, and helped it grow into a billion-dollar company.That unusual path gave Morgan a rare mix of technical depth, storytelling, taste, sales experience, startup scars, and founder judgment. It also prepared him for the moment we are in now, where the future will not belong only to people who can write code. It will belong to people who can see what the world needs, imagine something better, and use machines to help build it.Today, Morgan and his wife Dana lead Bold Metrics, a machine learning company helping major apparel brands reduce returns, improve fit, and design clothing around real human body data. Bold Metrics can predict dozens of body measurements from simple inputs, then map those insights to garment data so brands can recommend better sizes and make better products.Nick and Morgan talk about why that matters in the AI era. As software becomes easier to build, the real moats become harder things: data, momentum, distribution, taste, and trust. Morgan explains why proprietary data is so powerful, why most people underestimate distribution, and why building something useful still requires judgment, creativity, and real-world understanding.The conversation then moves into the new world of AI-powered software development. Morgan shares how he moved his engineering team into agentic coding workflows and why he believes leaders now have a responsibility to use these tools. They discuss Codex, GPT-5.5, Cursor, Droid from Factory AI, Grok Build, Devin, Graphite, Claude Code, model routing, agentic code review, and the difference between a model and a harness.Morgan explains that a model is not the whole product. The model is the intelligence. The harness is the system that tells it how to behave, use tools, execute tasks, and interact with the user. The same model can perform very differently depending on the harness around it. That means the future is not just better AI models. It is better combinations of models, harnesses, workflows, and human judgment.For people just beginning with AI, Morgan's advice is simple: do not start with a book, a course, or a four-hour tutorial. Start by building. Pick one repetitive thing you do every day and ask an AI coding agent to help you automate it. A spreadsheet process. A report. A tax calculation. A file cleanup task. A simple internal tool. Once you build something useful, you cannot unsee what is happening.The deepest part of the conversation is not technical. It is human.Nick frames AI as the next wave of the internet, and Morgan pushes the idea further. This is not just the next wave of the internet. It is the next wave of humanity.Morgan argues that non-creative work can and will be done by machines at scale. That should not terrify us. It should free us. The computers can do the 996. Humans get to return to the work that makes us human: creativity, love, emotion, imagination, risk, beauty, invention, and solving real problems with people we care about.This episode is part founder story, part AI field guide, and part hopeful argument for the future. Morgan's message is clear: stop watching from the sidelines. Start building. Use the tools. Experiment. Automate something small. Follow your curiosity. Take the weird path. Build with taste. Create something useful.

Enterprise AI investments frequently succeed at the pilot stage and collapse at scale, not because the technology fails, but because the organizational conditions for adoption were never established. In this episode, Darko Todorovic, CTO at HTEC Group, examines why most AI ROI gaps originate in poor problem definition and inadequate change management, and outlines how senior leaders can build the baselines, KPIs, and organizational readiness needed to measure and sustain real returns. The conversation covers practical guidance on assessing technological and organizational maturity, avoiding POC-to-production pitfalls, and selecting the right AI tools for specific business contexts. This episode is sponsored by HTEC. In this episode we cover how enterprise leaders can measure and prove AI ROI after deployment. To go deeper on this topic and learn how to identify real AI trends by tracking where venture funding is flowing, and by listening to how leading CEOs describe risk and competitive strategy, download our free PDF report, "3 Ways to Discover AI Trends in Any Sector" at emerj.com/ait1

Email: bidemiologunde@gmail.comIn this episode, host Bidemi Ologunde sits down with Thede Loder, Co-Founder and CTO at Rewarded Interest, about how privacy, digital advertising, consent, and economic incentives collide across the modern internet. What does real consent look like when users are exhausted by cookie popups? Can people control their data without sacrificing convenience? Should users be paid when advertisers spend money to reach them? Thede explains how Rewarded Interest is rethinking consent fatigue, user-controlled identity, publisher revenue, and advertiser transparency through a model designed to reduce friction and better align incentives for everyone involved.

Your people aren't tired of change — they're saturated. There's a difference, and it's the difference between an AI rollout that lands and one that bounces off your workforce entirely. Kelle Fontenot is the Chief Digital Officer at KPMG US, where the CIO, the CTO, and the Chief Data Officer all report to her. She owns internal innovation, architecture, platform, engineering, and data across a 40,000-person workforce — and she's spent the last four and a half years steering that organization through cloud, data, and now an AI wave reshaping how every one of her people does their job. In this conversation, Kelle reframes 'change fatigue' as 'change saturation,' reveals that KPMG employees built 25,000 AI agents in the last six months alone, walks through the synthetic-data acquisition powering regulated AI testing at scale, and explains the brand-new Anthropic partnership turning a 140-year-old services firm into a products company.   What you'll learn • Why 'change fatigue' is the wrong diagnosis — and what 'saturation' changes about how you roll out AI • Why KPMG refuses to use AI as a head-count lever — and why that decision is actually accelerating adoption • How 40,000 KPMG employees built 25,000 AI agents in six months — and what that means for who counts as a 'builder' • Why the CIO, CTO, and CDO all report to one person — and what would break if they didn't • How synthetic data lets a regulated firm test AI at scale without the breach risk • What KPMG's Anthropic partnership signals about the future of professional services   Connect Kelle Fontenot on LinkedIn KPMG US IT Visionaries Podcast   Chapters 0:00 AI Change Has Become AI Saturation 1:29 Why “Change Fatigue” Is the Wrong Diagnosis 3:27 Prompting Like It's November 4:46 Giving People Space to Innovate 6:38 AI Is Not a Headcount Lever 10:07 Building AI in a Regulated Business 11:24 The Risk Container Around AI 14:12 The AI-Augmented Auditor 17:21 The Agent Governance Problem 20:59 Why Digital, Data, and Tech Sit Together 22:59 Building an Inside Startup 30:04 Innovation Has to Happen at the Edge 36:48 The ROI Math for AI Agents 38:50 Why KPMG Bought a Synthetic Data Company 44:09 KPMG's Anthropic Partnership 51:03 Shipping AI at Scale 52:10 Kelle Fontenot's Advice for Leaders -- This episode of IT Visionaries is brought to you by Meter - the company building better networks. Businesses today are frustrated with outdated providers, rigid pricing, and fragmented tools. Meter changes that with a single integrated solution that covers everything wired, wireless, and even cellular networking. They design the hardware, write the firmware, build the software, and manage it all so your team doesn't have to.That means you get fast, secure, and scalable connectivity without the complexity of juggling multiple providers. Thanks to meter for sponsoring. Go to meter.com/itv to book a demo.---IT Visionaries is made by the team at Mission.org. Learn more about our media studio and network of podcasts at mission.org. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Le sujet :À l'ère de l'IA, la sécurité n'est plus une option. Les coûts et les délais pour exploiter les failles d'un système sont en train de disparaître. Mais le pire pourrait être à venir. La cryptographie actuelle est menacée par l'informatique quantique, remettant en question de nombreux protocoles. Cette nouvelle donne force une migration de tous les systèmes critiques vers le post-quantique d'ici 2030, une échéance fixée par le NIST. Dans ce contexte, la sécurité de nos actifs numériques, de nos cryptos à nos mots de passe, n'a jamais été aussi précaire.L'invité du jour :Charles Guillemet est le CTO de Ledger. Au micro de Matthieu Stefani, il alerte sur la catastrophe de sécurité imminente due à l'IA et au quantique, et détaille les stratégies de défense, du wallet physique au "25e mot".Au programme :00:00:00 : La mission de Ledger : sécuriser les systèmes00:01:54 : Où sont vraiment "stockés" vos Bitcoins00:04:49 : Comment sécuriser ses cryptos (sans risquer de tout perdre)00:08:30 : Pourquoi l'IA menace la sécurité de vos portefeuilles : l'asymétrie défense/attaque00:17:47 : Les banques tradi sont-elles à l'abri ?00:20:30 : Le quantique : quels sont les vrais cas d'usage00:24:49 : Le QDay : le monde devra changer00:30:51 : Ton téléphone est ta pire vulnérabilité00:36:27 : Les pires mots de passe à utiliser00:38:07 : La preuve d'identité : l'IA et les deep fake00:41:39 : La France et le manque de sécurité : comment se protégerAvantages :Bonne nouvelle ! Nous avons négocié pour vous un avantage exclusif : obtenez 10$ en Bitcoin pour l'achat d'un Ledger, pour en profiter, rendez-vous sur : https://www.ledger.com/lamartingale Merci à notre partenaire eToro de soutenir la Martingale.Allez sur etoro.com et prenez le contrôle de vos investissements. E-T-O-R-O point com.eToro est une plateforme d'investissement multi-actifs. La valeur de vos placements peut augmenter ou diminuer. Votre capital est assujetti à un risque.La libre antenne de votre podcast préféré, Allo La Martingale, a désormais son propre flux ! Abonnez-vous sur Spotify, Apple Podcasts ou votre plafeforme audio favorite pour ne manquer aucun nouvel épisode. Pour s'abonner à la newsletter, c'est ici : https://lamartingale.io/ La Martingale, c'est aussi un assistant IA qui vous apporte des réponses éclairées issues des interventions des experts passés au micro du podcast. Pour tester, direction https://beta.lamartingale.ioLa Martingale est un média d'Orso Media. Vous souhaitez entrer en contact avec a rédaction ? Ou nous soumettre une collaboration ? Ecrivez-nous ici : https://orsomedia.io/contactHébergé par Audiomeans. Visitez audiomeans.fr/politique-de-confidentialite pour plus d'informations.

AI is changing leadership faster than most executives realize, pushing teams to move at a speed that introduces multi-million dollar operational blindspots.In this episode of Lead The Team, Ben Fanning sits down with Radha Basu, Founder & CEO of iMerit, to break down why "right beats fast" when scaling technology.Discover how to navigate high-stakes AI disruption, structure true organizational ownership, and prevent executive burnout while leading a hyper-growth team.What You'll Learn in This Episode:How a missing piece of real-world context nearly triggered chaos in an autonomous vehicle model.The exact moment Radha risked losing an industry-leading client by refusing to drop her quality standards for speed.The 4 mission-critical AI roles leaders need to scale machine judgment safely.The Radical Feedback Loop: Overcoming executive burnout by building an organizational culture that talks back.The Slack Rule: Why data trainers must have a direct line to the CTO.-----Connect with the Host, #1 bestselling author Ben FanningSpeaking and Training inquiresSubscribe to my Youtube channelLinkedInInstagramTwitter

Kishore Ravilla: How CTOs Influence Business DecisionsKishore Ravilla is a CTO with 25 years of leadership across healthcare, insurance, and financial services. In this episode, we explore how technology leaders can better communicate with business stakeholders, why storytelling matters in digital transformation, and how strong execution and operational excellence create lasting business value. To learn more about Kishore, visit https://www.linkedin.com/in/kishoreravilla/__TEACH THE GEEK (http://teachthegeek.com) Prefer video? Visit http://youtube.teachthegeek.comGet Public Speaking Tips for STEM Professionals at http://teachthegeek.com/tips

Max Levchin (@mlevchin) is a serial entrepreneur and investor in 100+ startups. He's the founder and CEO of Affirm, the payment network powering consumer purchases and merchant growth. An original PayPal co-founder, Max served as CTO until its 2002 acquisition by eBay.This episode is brought to you by:ProLon: science-backed Fasting Mimicking Diet that helps activate cellular renewal through fasting, while still eating nourishing meals: ProlonLife.com/TimMonarch track, budget, plan, and do more with your money: Monarch.com/Tim Shopify global commerce platform, providing tools to start, grow, market, and manage a retail business: Shopify.com/timTimestamps:[00:00:00] Start.[00:02:50] The Ronin line that rewired how Max makes every decision.[00:06:09] Paprika-style brain-computer interfaces.[00:09:09] PayPal's founders lived inside a Neal Stephenson novel.[00:19:21] Transformation via Neuromancer and Snow Crash.[00:23:40] The book that found Max his wife.[00:29:24] The real secret to a great marriage.[00:38:29] What's worth tracking, and what's not.[00:44:13] A scrawny kid, a clarinet, and a Kyiv velodrome.[00:46:55] What going all-out on a bike actually gives you.[00:51:02] The mantra by which Max rides.[00:53:02] A Soviet kid's fear of socialism.[01:02:48] Making a profit without destroying society.[01:04:31] What is Affirm, and why did every banker say it would fail?[01:20:18] Why the best mathematicians eschew the lending industry.[01:23:50] Does agentic commerce break Affirm, or supercharge it?[01:28:01] A PhD-level financial advisor in everyone's pocket.[01:29:58] How close are we to buying anything through one AI chat?[01:36:32] Improving your coffee: cheap, intermediate, and Bugatti options.[01:44:33] The books every first-time founder should actually read.[01:48:08] Claude Shannon, Ed Thorp, and the joy of playful genius.[01:51:00] Why physical books still beat every digital reading experience.[01:51:44] Parting thoughts.*For show notes and past guests on The Tim Ferriss Show, please visit tim.blog/podcast.For deals from sponsors of The Tim Ferriss Show, please visit tim.blog/podcast-sponsorsSign up for Tim's email newsletter (5-Bullet Friday) at tim.blog/friday.For transcripts of episodes, go to tim.blog/transcripts.Discover Tim's books: tim.blog/books.Follow Tim:Twitter: twitter.com/tferriss Instagram: instagram.com/timferrissYouTube: youtube.com/timferrissFacebook: facebook.com/timferriss LinkedIn: linkedin.com/in/timferrissSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

His company policy is: there will be absolutely no human-written code. Today, we're talking to Trevor Hinesley, Cofounder and CTO at Soundstripe. We discuss the five levels of AI-written code and what it actually looks like to operate at the highest ones, why Trevor's team has a strict policy of zero human-written code, how the "dark factory" concept is reshaping what engineers actually do, and why a company built on AI-powered development still bets everything on human-made music. All of this right here, right now, on the Modern CTO Podcast!  To learn more about Soundstripe, check out their website here.

Have we become so used to data breaches that we no longer stop to think about what they actually mean for the people affected? In this episode of Tech Talks Daily, I speak with Simon Pamplin, CTO at Certes, about why cybercrime remains one of the biggest threats facing businesses and consumers alike. While headlines about ransomware attacks and data breaches appear almost every day, Simon argues that too many organizations are still treating cybersecurity as a technology problem rather than a business risk with real human consequences. Our conversation begins with a simple but powerful question. Why are so many companies still focused on protecting networks when attackers are really after the data itself? Simon explains why traditional perimeter-based security approaches are struggling in a world where information moves between cloud environments, devices, applications, and partners far beyond the boundaries organizations once controlled. We also discuss the personal cost of cybercrime. Behind every breach announcement are real people whose financial records, personal details, healthcare information, and digital identities may have been exposed. Simon shares why the impact often extends far beyond resetting a password, creating financial, emotional, and reputational consequences that can last for years. Another major theme is the growing concern about quantum computing and the rise of harvest-and-decrypt attacks. While fully realized quantum computing may still be in the future, cybercriminals are already collecting encrypted data with the expectation that future technology will eventually unlock it. Simon explains why businesses need to think about protecting sensitive information today rather than waiting for tomorrow's threats to become reality. The conversation also examines the growing pressure from regulations such as GDPR, DORA, and NIS2. With larger penalties and increased regulatory scrutiny, organizations are facing greater accountability for how they handle and protect customer information. Simon argues that trust has become one of the most valuable assets a business can possess and one of the easiest to lose. Of course, no cybersecurity discussion would be complete without addressing AI. We explore how AI is making attacks faster, cheaper, and more accessible while also creating opportunities for defenders. Simon shares his thoughts on why businesses must rethink long-held assumptions and prepare for a future in which cybercriminals can automate many techniques that once required significant expertise. Throughout our discussion, Simon returns to a consistent message. Attackers target data because it has value. Organizations that focus their efforts on protecting that data, wherever it travels, will be in a far stronger position than those relying solely on traditional defenses. If you are responsible for cybersecurity, risk management, compliance, or digital transformation, this episode offers a timely discussion of what businesses should prioritize as threats continue to evolve. Customer trust becomes harder to earn and easier to lose. When the next breach makes headlines, will it simply be another news story, or will it be a reminder that every piece of stolen data belongs to a real person whose life could be affected?

The Five Eyes issue a rare joint warning on China. Jen Easterly weighs in on Trump's AI EO. Researchers warn everyday notifications can become AI attack vectors. IronWorm is a sophisticated Rust-based infostealer targeting software developers. Cisco patches a critical vulnerability in its Unified Communications Manager platform. Anthropic maps AI-enabled cyber activity to the MITRE ATT&CK framework. Authorities dismantle an online counterfeit identity marketplace. Our guest is Jason Kikta, CTO from Automox, discussing AI vulnerabilities, real risk, and the speed problem. An extortion crew is forced to open a customer support ticket. Remember to leave us a 5-star rating and review in your favorite podcast app. Miss an episode? Sign-up for our daily intelligence roundup, Daily Briefing, and you'll never miss a beat. And be sure to follow CyberWire Daily on LinkedIn. CyberWire Guest Today on our Industry Voices segment, we are joined by Jason Kikta, CTO from Automox, who is discussing AI vulnerabilities, real risk, and the speed problem. If you enjoyed this conversation, check out the full interview here.  Selected Reading⁠ U.S. and intelligence allies issue rare joint warning about China (Washington Post) Safeguarding Our Secrets (MI5) Opinion | The Government Is Finally Taking A.I. Risk Seriously (New York Times) CISA directive for AI executive order to be released this week, Andersen says (The Record) Gemini Voice Assistant Hijacked via Messaging Notifications (SecurityWeek) IronWorm: Shai-Hulud's rustier cousin (JFrog Security Research) Cisco warns of critical Unified CM flaw with PoC exploit code (Bleeping Computer) Mapping AI-enabled cyber threats: Insights from the LLM ATT&CK Navigator (Anthropic) Police dismantles fake ID marketplace used by migrant smugglers (Bleeping Computer) Over 1.4 Million Accounts Disrupted in Cybercrime Crackdown (SecurityWeek)  'Dumbass' criminal breaks the 'first rule of ransomware club' (The Register) Share your feedback. What do you think about CyberWire Daily? Please take a few minutes to share your thoughts with us by completing our brief listener survey. Thank you for helping us continue to improve our show.   Want to hear your company in the show? N2K CyberWire helps you reach the industry's most influential leaders and operators, while building visibility, authority, and connectivity across the cybersecurity community. Learn more at sponsor.thecyberwire.com. The CyberWire is a production of N2K Networks, your source for strategic workforce intelligence. © N2K Networks, Inc. Learn more about your ad choices. Visit megaphone.fm/adchoices