Podcasts about amazon bedrock

Send us Fan MailSummary: In this episode, Frank and SteveO discuss the latest updates in cloud technology for May 2026. They cover AWS's new multi-cloud connectivity with Oracle Cloud Infrastructure, the general availability of Amazon EC2 M3 Ultra Mac instances, and Microsoft's release of V7 VMs powered by Intel Xeon processors. The hosts also delve into Amazon Bedrock's expanded support for request-level usage attribution and service quotas, as well as AWS Marketplace's new programmatic procurement capabilities. The episode wraps up with insights from the FinOps X conference and a discussion on cost management strategies in cloud services.

AWS Morning Brief for the week of June 15th, with Corey Quinn. Links:AWS announces AWS Workload Credentials ProviderAnnouncing the public preview of AWS FinOps AgentIntroducing AI-Powered Cost Investigations For Cost AnomaliesAmazon CloudWatch Logs Insights adds 23 new query commands and functionsIntroducing Target Coverage in Savings Plans Purchase AnalyzerIntroducing the AWS Credits Detail PageAnthropic Claude Fable 5 on AWS: Mythos-class capabilities with built-in safeguards now availableNow available: Amazon EC2 M9g and M9gd instances powered by new AWS Graviton5 processorsTry the new console experience in Amazon Bedrock, optimized for Anthropic- and OpenAI-compatible APIsAWS Nitro Isolation Engine: Formally verifying the hypervisor in the AWS Nitro SystemIt's safe to close your laptop now: Hosting coding agents on Amazon Bedrock AgentCore27 AWS Security Bulletins: A Patch Tuesday That Lasted a Year

Come si può trasformare Aurora PostgreSQL in un vector database grazie a pgvector? Come si automatizza la generazione dei vector embeddings usando Amazon Bedrock? Quali sono i cinque approcci architetturali — dal più semplice al più scalabile — per mantenere gli embeddings sempre aggiornati quando i dati cambiano? Quando conviene un approccio sincrono e quando invece è meglio disaccoppiare con Lambda, SQS o pg_cron? Oggi ne parliamo con Domenico Di Salvia, Specialist Solutions Architect di AWS, che ci racconta come unire il mondo dei database relazionali con quello della Generative AI.Link utili:- Automating vector embedding generation in Amazon Aurora PostgreSQL with Amazon Bedrock- Embedding Automation Strategies for Aurora PostgreSQL

In this Mob Mentality Show episode, we join James Herr and Woody Zuill for a one-of-a-kind session James calls the "Hot Sauce Ensemble" — mob programming a video game from scratch in the Godot engine using AI, while eating escalating hot sauces every three-minute rotation. Fair warning to podcast listeners: this episode has a strong YouTube component. If things start sounding chaotic and spicy, that's because they are — jump over to YouTube to see what's happening on screen. James set up the session with Claude Code in VS Code (backed by Amazon Bedrock) and a blank Godot project containing only one asset: a hot sauce sprite generated by ChatGPT. From there, the mob navigated an AI coding agent through a real-time game build — adding player movement, landing explosions, and physics-based bell pepper enemies that scatter when stomped. The enemies were bell peppers specifically because Chris despises them. The hero is hot sauce. The logic is sound. Along the way, James introduced the "plate spinning" technique: opening multiple AI agents in parallel terminals so one prompt cooks while the mob drives another, keeping momentum even when AI responses run long. We dig into: How "Hot Sauce Ensemble" combines traditional mob rotations with escalating spicy food — and why it works as a team-building format Using Claude Code in VS Code with Godot to build a playable game from a blank project in real time The plate spinning technique: running multiple AI coding agents in parallel terminals to maintain flow Why the goal should be "effective," not "productive" — and how mob programming and AI tools both support that shift How AI procedurally generates game art assets (bell pepper sprites built from polygon shapes and shading) without any image generation tools Navigating an unfamiliar codebase and engine as a mob, using an AI agent as the technical guide What happens to your prompting quality when habaneros and The Last Dab are involved Hot sauce as a hero, bell peppers as villains: designing game mechanics around personal taste (literally) If you've ever wondered what mob programming looks like when applied to game development, AI-assisted coding, and competitive spice tolerance all at once, this episode delivers all three simultaneously — with physics.   References… James Herr's LinkedIn: [PASTE LINK] Woody Zuill's LinkedIn: [PASTE LINK] Godot Engine: https://godotengine.org/ Claude Code: https://www.anthropic.com/claude-code Mobster (mob timer): [PASTE LINK] Hot Sauces Featured… James: Hot Ones Apricot Sauce (#7), Hot Ones The Last Dab (#10) Woody: Taco Bell Hot Sauce, ~3 lbs pickled jalapeños (stuffed in a burrito) Chris: Fishwife Albacore in Spicy Olive Oil, Oni Yuzu Lemon Hot Sauce (Japan), Marie Sharp's Carrot & Habanero (2-habanero, 4-habanero Blazing Hot, and 5-habanero BEWARE) on a PB&J Thanks to G-SLiK (https://soundcloud.com/g-slik) for the intro and outro music. Chris Lucian and Austin Chadwick discuss all things #agile and product development from a #MobProgramming perspective. Chris Lucian is the Director of Software Development at Hunter Industries and a founder of mob programming. https://www.chrislucian.com/p/chris-lucian-biography.html Austin Chadwick is a Mob Programmer at Hunter Industries and is a passionate agilist and craftsman with experience in several roles (e.g. coach, developer, tester, scrum master, business analyst). https://www.linkedin.com/in/austin-chadwick-3a58151a4/ We would love your feedback and ideas for future episodes! Please add comments to the video or reach out to us on Twitter ( https://twitter.com/mob__mentality & https://twitter.com/ChristophLucian ). All statements and opinions expressed by Chris and Austin are solely their own and do not represent the views of any company. Chris and Austin are just sharing and not recommending ( https://justsharing.dev/ ).

AWS Morning Brief for the week of June 8th, with Corey Quinn. Links:AWS Interconnect - multicloud now offers a free 500 Mbps tierOracle Database@AWS is now available in twenty AWS RegionsAmazon Cognito now supports multi-Region replicationAmazon EKS and Amazon EKS Distro now supports Kubernetes version 1.36Amazon SES now supports tenant-level suppression listsAWS Compute Optimizer now supports 32-day lookback for EBS volume and ECS service rightsizing recommendationsAWS Cost and Usage Report 2.0 now supports Athena and Redshift integrationAmazon ElastiCache for Valkey now supports durabilityUnderstanding how backups work in Amazon AuroraOpenAI models and Codex on Amazon Bedrock are now generally availableHow Bedrock Streaming optimizes its AWS costsFrom Monolith to Multi-Account: Pinterest's AWS Organization Transformation JourneyGain visibility into DDoS attacks with flow logs in AWS Shield AdvancedIdentify unused AWS KMS keys and prevent accidental key deletionsCVE-2026-10591 - Kiro IDE Insufficient File Write Restrictions to Execution-Sensitive PathsCVE-2026-10584 - HTTPS Fallback to HTTP in Graph Explorer

✅ New autonomous agents. ✅ Canva designs made for you. ✅ Codex upgrades to make your business move. If you had your head down in spreadsheets this week, you missed some MAJOR AI upgrades that are available now. We track what's hot and what's not and break it all down on Fridays with our Friday Features. Autonomous Copilot agents, new Codex tools, Github CoPilot app and 7 more AI updates you should be using — An Everyday AI Chat with Jordan WilsonNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageToday's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:OpenAI Codex Role-Specific Plugins LaunchMicrosoft Build Conference AI Feature ReleasesChatGPT Memory and Business Account UpgradesMicrosoft Flash Image Model for PowerPointCanva Integrated with ChatGPT and CodexGitHub Copilot Standalone Desktop App PreviewMicrosoft Autopilot Always-On Work AgentsOpenAI Models Now Available on AWS BedrockCodex Sites: AI-Built Internal Web AppsTimestamps:00:00 OpenAI's big money moves03:47 Explaining role-specific plugins09:02 Microsoft's new image model release11:09 Microsoft's AI strategy and Canva update14:23 Canva integration with ChatGPT16:56 GitHub Copilot's new canvas feature20:46 AI token subscription changes24:42 AWS adds OpenAI models to Bedrock28:25 Introducing OpenAI's CodeX Sites Feature32:07 Launch of OpenAI's New Plug-in34:16 Overview of podcast structureKeywords: Autonomous copilot agents, Codex tools, GitHub Copilot app, OpenAI Codex, ChatGPT business accounts, OpenAI enterprise, Microsoft Build conference, Microsoft always-on agents, AWS AI updates, Canva plugin, ChatGPT memory upgrade, Windows Codex integration, Microsoft Flash model, Enterprise apps integration, Role-specific plugins, Sales data analytics, Product design AI, Creative production AI, Investment banking plugin, Public equity investing, Data analytics plugin, Workspace admins, App permissions, Role-aware work agent, Financial research automation, Microsoft image generation model, PowerPoint AI integration, OneDrive AI features, Visual design creation, Canva app for ChatGPT, Canva MCP server, Agentic context carry, Full screen design preview, GitHub Copilot desktop app, GitHub Copilot Canvas, Agent-native command center, Parallel agent work tree, Code app interface, Model options in GitHub, Token usage limits, Subscription token subsidizing, Anthropic token efficiency, Amazon Bedrock, GPT-4, GPT-4.5, Small language models, Token reckoning, Security governance, Inference engine, Code app sidebar, Codex Sites, Internal dashboards, Project trackers, Interactive web apps, Shareable AI apps, Enterprise data connectors, ChatGPT Canvas, Automated workflow, Workplace authentication, Creative briefs repository.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Start Here ▶️Not sure where to start when it comes to AI? Start with our Start Here Series. You can listen to the first drop -- Episode 691 -- or get free access to our Inner Cricle community and all episodes: StartHereSeries.com Also, here's a link to the entire series on a Spotify playlist. 

Episode 29 of Guardians of M365 Governance: Christian Buckley, Joy Apple, and Ragnar go off-script. No guest this month, just three MVPs working through a laundry list of the governance topics keeping them up at night, from Agent 365 and shadow AI to the real question underneath it all: what does it mean to be the human in the loop?In this episode we get into:00:59 The hottest news in the M365 governance space02:00 Lessons from Agent 365 customer workshops (delivered in Spanish!)03:25 What resonates: agent inventory and classification across Microsoft, third-party, and homegrown agents03:52 Shadow AI: OpenClaw, Cortex, Bedrock and why "observe or block" is the only lever today05:04 Don't be the department of "no": have the conversation first06:50 Coming soon to shadow AI discovery: Claude Code CLI, Codex CLI, Cursor, Llama and more07:19 Multi-model reality: Copilot, Grok, Claude and where each fits08:35 Mike Gennady's agent factory, nightly agent conferences, and #ClawPilot10:08 Microsoft Build preview and OpenClaw + Teams / Copilot integration11:05 New Agent 365 registry sync: Amazon Bedrock, Google Vertex AI, Databricks Genie, Salesforce Agentforce15:16 Cloud migration vs. AI: the governance parallels and the need for foundational cleanup18:00 The risk to Microsoft's strategy: enterprise vs. the developer space20:28 Licensing changes, Agent 365 pricing, and the true (unknown) cost of AI22:45 Why automating away junior roles handicaps your future talent pipeline24:01 Retrieval, semi-autonomous, and autonomous agents, and why nobody wants full autonomy yet25:33 Human in the loop on multiple levels: content cleanup, the publishing quality gate, and workflow escalation28:50 100 test cases for Power Platform alone: never underestimate the testing effort29:31 Productivity vs. effectiveness: redefining how humans work with AI31:17 AI-assisted writing done right: a 47-page doc drafted by AI, then days of human verification35:28 Handwriting vs. typing, stream-of-consciousness drafting, and thinking through the words36:36 Why the human mind can't be replicated, and Hegel on master and horse39:28 Finding your USP as a human in the loop, a daily new discoveryThe big takeaway: the discussion of the next two to three years won't be about productivity. It will be about effectiveness, and resetting the standard for what it means to keep humans meaningfully in the loop. Govern your agents as helpers, never the other way around.Guardians of M365 Governance is a monthly webcast dedicated to everything governance in the Microsoft 365 ecosystem. Got a topic you want us to cover, or want to join as a guest? Connect with Christian, Joy, or Ragnar on LinkedIn.Microsoft Build runs June 2-3, free online: https://build.microsoft.com

Okta Japan株式会社は5月15日、「Okta for AI Agents」の機能拡張を発表した

In today's Cloud Wars Minute, I examine why OpenAI bringing frontier models to AWS signals a new era of AI platform pragmatism. Highlights 00:03 — Hot on the heels of the news that OpenAI and Microsoft have re-explored the terms of their partnership, leading to a much more flexible outcome for OpenAI, the company has introduced an expanded partnership with AWS to bring OpenAI's latest models to Amazon Bedrock. 00:23 — The new solutions currently in preview include the launch of Codex on Amazon Bedrock and Amazon Bedrock managed agents powered by OpenAI. Now AWS customers will be able to leverage the latest OpenAI models through their existing Amazon Bedrock APIs and controls. 00:46 — Customers will be able to utilize OpenAI's coding agents to scale software development on Bedrock. And with Amazon Bedrock managed agents powered by OpenAI, teams can build and deploy production-ready OpenAI-powered agents on AWS, benefiting from the global infrastructure and security AWS provides. 01:06 — At the heart of this expanded partnership, particularly in terms of messaging from AWS, is the delivery of frontier AI to the infrastructure millions of organizations already trust, and this is one of the cornerstones we're seeing now in the AI Revolution in terms of partnerships. 01:39 — Companies are focusing on their strengths, which is crucial for the parts of the business that customers rely on and that really define them in the eyes of their users. Ultimately, it's the customers who will benefit from these collaborations moving forward. Visit Cloud Wars for more.

Everything got a bit more powerful this week.

ÉCOUTEZ SANS PUB sur notre chaine DJAMGAMIND avec Apple: https://podcasts.apple.com/us/channel/djamgamind/id6760446113#DJAMGAMIND #AIRIARésumé : Dans le résumé d'aujourd'hui, nous analysons la transition des applications traditionnelles vers le "Logiciel 3.0". Nous décortiquons l'étude révolutionnaire de Harvard où le modèle o1 d'OpenAI a surpassé les médecins urgentistes en matière de diagnostic. Nous explorons les changements massifs dans le capital physique, y compris le lancement par Amazon de "Supply Chain Services" pour faire la guerre à UPS et FedEx, et l'offre d'achat très endettée de 55,5 milliards de dollars de GameStop sur eBay. Nous abordons également les nouveaux contrats d'IA classifiés du Pentagone, le procès en cours entre Elon Musk et OpenAI, et la fermeture du moteur de recherche Ask.com.Commanditaire Exclusif : DJAMGAMIND. L'Intelligence de Haute Fidélité pour la direction. Visitez DjamgaMind.com.Sujets Importants Abordés :L'IA au Pentagone et Protestations : Le ministère de la Défense signe des accords avec OpenAI, Google et Microsoft, déclenchant une protestation de 600 employés chez Google.725 Milliards $ de Capex : Google, Amazon, Microsoft et Meta prévoient un bond de 77 % de leurs dépenses d'infrastructure pour 2026.Le "RAMageddon" d'Apple : Tim Cook avertit que la demande de l'industrie de l'IA a quadruplé le prix des puces mémoire.Procès Musk vs OpenAI : Elon Musk accuse OpenAI devant le tribunal fédéral, tout en admettant que xAI a utilisé les modèles d'OpenAI pour entraîner Grok.Le Pivot Robotique : SoftBank prépare une introduction en bourse de 100 milliards $ pour "Roze", 1X ouvre une usine de robots humanoïdes aux États-Unis, et Meta acquiert Assured Robot Intelligence.Blocages Géopolitiques : La Chine bloque l'acquisition de Manus par Meta pour 2 milliards de dollars, et l'UE ordonne à Google d'ouvrir Android aux IA concurrentes.OpenAI sur AWS et Smartphone : OpenAI met fin à l'exclusivité cloud de Microsoft pour se lancer sur Amazon Bedrock, et prépare un smartphone pour concurrencer l'iPhone.

The core structural shift identified is the reconfiguration of managed service pricing and accountability due to the integration of AI and platform metering into standard IT offerings. Large vendors—including Microsoft and AWS—are shifting the economics of IT delivery: traditional flat-rate bundles are being rendered structurally unsafe as AI-driven workloads introduce unpredictable consumption costs and financial exposure. This change is catalyzed by vendors attaching metered billing models and embedding AI agents directly into enterprise platforms, which fundamentally shifts risk and cost variability onto MSPs and service providers. The most consequential development is Microsoft's introduction of Microsoft 365 E7, described as a new bundle combining seat licensing with consumption-based AI fees. According to company statements and Computer Weekly reporting, Microsoft is explicitly positioning the suite as a license-plus-consumption model with measured AI usage, tracked similarly to Azure. Gartner's latest IT spending forecast, cited via CIO.com, anticipates global IT spend reaching $6.31 trillion by 2026, with a 55.8% jump in data center infrastructure spending, largely driven by AI adoption. Secondary developments echo this trend. AWS has expanded its managed agent offerings on Amazon Bedrock, integrating OpenAI models and presenting agents as standardized, enterprise-ready managed services; pricing is identified by analysts as a tipping point. Cloudflare's collaboration with Stripe highlights infrastructure that enables agents to provision accounts and handle finances with minimal human input, using protocol-based authorization and spending controls. Vendors like AvePoint release governance tools that focus not on offering more AI, but on operationalizing policy control and audit management across multi-tenant environments. These illustrate increasing platform vendor jurisdiction over layers historically managed by MSPs. For MSPs and service providers, the practical consequences are increased exposure to contract risk, margin compression, and operational complexity. Flat rate contracts that fail to track AI consumption or bundle AI support risk being underpriced and absorbing both spend and support variance. The shift towards platform-managed governance, identity, and audit controls requires providers to separate governance from operational support in agreements, implementing new monitoring, reporting, and cost-tracking tooling. Failure to address these shifts could result in lost accounts, failed renewals, and loss of insurability, as insurers and auditors demand provable oversight and policy enforcement. 00:00 Seats Meet Meters  05:39 Bundles Break Here 08:32 Cleanup Costs You 11:49 Why Do We Care?    Supported by:  Acronis Moovila Zero Networks    Upcoming event:  The Pivotal Point of IT: Building Services for the AI-First Era Date: May 13 at 1p.m. EDT Register: https://go.acronis.com/davesobelaiera

Un agent IA efface tout le système d'une entreprise en 9 secondes • L'Europe impose batteries remplaçables et USB-C • Google Traduction fête ses 20 ans • Microsoft et OpenAI desserrent leurs liens • L'IA redessine le smartphone. Avec Bruno Guglielminetti (Mon Carnet)Agent IA : le crash de PocketOS (0:11)Nous revenons sur le cas spectaculaire de PocketOS, une entreprise américaine dont une base de données aurait été effacée en quelques secondes par un agent IA utilisé avec Cursor et le modèle Claude d'Anthropic. L'incident illustre les promesses mais surtout les risques des agents autonomes lorsqu'ils disposent de droits trop larges sur des systèmes critiques.Encadrer les agents IA en entreprise (3:26)À partir d'un exemple vu lors d'une conférence cybersécurité à Montréal, nous discutons de la nécessité de tracer, limiter et contrôler les permissions des agents IA. Comme l'antivirus hier, des outils de gouvernance pourraient devenir indispensables pour éviter qu'un agent mal cadré ne provoque des dégâts irréversibles.Batteries remplaçables : l'Europe pousse à la réparabilité (4:29)Nous décryptons le futur cadre européen sur les batteries remplaçables dans les smartphones, lié au règlement européen sur les batteries. L'objectif est de prolonger la durée de vie des appareils, même si les exceptions liées à l'étanchéité et à la capacité restante pourraient limiter le retour des batteries totalement amovibles.USB-C obligatoire pour les ordinateurs portables (6:41)Depuis le 28 avril 2026, les règles européennes sur le chargeur commun s'étendent aux ordinateurs portables, avec l'obligation de supporter l'USB-C pour les modèles concernés. Nous expliquons pourquoi les machines très puissantes, notamment certains PC de gaming, restent en partie à l'écart de cette harmonisation.Google Traduction a 20 ans (8:55)Google Traduction fête ses 20 ans et nous rappelle à quel point la traduction automatique a été l'un des premiers contacts du grand public avec l'intelligence artificielle. Avec l'intégration de Gemini, Google ajoute désormais des fonctions d'entraînement à la prononciation, signe du chemin parcouru depuis les premières traductions approximatives.Microsoft et OpenAI : du mariage à l'union libre (12:15)Nous analysons la nouvelle étape du partenariat entre Microsoft et OpenAI, désormais moins exclusif, tandis qu'OpenAI peut davantage travailler avec d'autres clouds comme AWS et Google Cloud. Derrière cet accord, nous voyons se dessiner la commoditisation des grands modèles et la montée en puissance des couches applicatives comme Copilot.AWS devient l'hypermarché de l'IA (13:49)Avec l'arrivée des modèles OpenAI dans Amazon Bedrock, AWS renforce son rôle de plateforme rassemblant plusieurs grands fournisseurs d'IA. Nous y voyons un signal fort : les entreprises veulent pouvoir choisir entre Anthropic, OpenAI, Amazon et demain peut-être d'autres modèles, plutôt que dépendre d'un seul acteur.Vers un téléphone sans applications ? (18:39)Nous imaginons l'avenir du smartphone à l'ère de l'IA embarquée, où l'utilisateur demanderait directement une action à son appareil au lieu d'ouvrir une application dédiée. Cette évolution pourrait bouleverser les écosystèmes d'Apple, Google et des éditeurs d'applications, tandis que des outils comme Lovable accélèrent déjà la création de services sur mesure.Hébergé par Audiomeans. Visitez audiomeans.fr/politique-de-confidentialite pour plus d'informations.

In der heutigen #kassensturz Folge, unseren wöchentlichen Marketing & eCommerce News, geht es unter anderem um folgende Themen:(00:00) Intro(02:29) Reddit positioniert sich als eCommerce-Kanal (09:32) ChatGPT launcht auf Amazon Bedrock (19:22) Sam Altman und Elon Musk streiten vor Gericht(22:39) Chinesische Regierung lässt Meta x Manus Deal rückabwickelnd(26:50) Big Tech Earnings: Meta, Alphabet, Microsoft, Amazon(30:03) 35% aller neuen Webseiten sind AI-generiert(30:25) TikTok Shop soll $27.5 Mrd. GMV in Q1 2026 geknackt haben(31:55) Google testet mit "Ask YouTube" neue AI-SucheQuellenReddit positioniert sich als eCommerce-Kanal https://retail-news.de/reddit-shopping-tools-ecommerce/ChatGPT launcht auf Amazon Bedrock https://www.geekwire.com/2026/openais-models-land-on-amazon-bedrock-one-day-after-microsoft-exclusivity-ends/Sam Altman und Elon Musk streiten vor Gerichthttps://www.business-punk.com/tech/musk-vs-altman-richterin-nimmt-tech-titanen-die-tastatur-weg/Chinesische Regierung lässt Meta x Manus Deal rückabwickelnhttps://www.wsj.com/tech/ai/meta-is-preparing-to-have-to-undo-its-manus-acquisition-after-china-ban-a4ffbefb?st=K6Q3tFBig Tech Earnings: Meta, Alphabet, Microsoft, Amazon> siehe jeweilige Press Releases35% aller neuen Webseiten sind AI-generierthttps://www.404media.co/study-finds-a-third-of-new-websites-are-ai-generated/TikTok Shop soll $27.5 Mrd. GMV in Q1 2026 geknackt habenchwang.com/news/204863903124Google testet mit "Ask YouTube" neue AI-Suchehttp://theverge.com/streaming/919441/google-ask-youtube-ai-chatbot-searchMax & Kristina auf LinkedIn>⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠Max Rottenaicher⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠>⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠Kristina Mertens⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠CreditsLogo Design: Naim SolisIntro & Jingles: Kurt WoischytzkyFotos: Stefan GrauIntro-Video: Tim Solle

This episode dives into early MS-DOS/PC-DOS source code, Snapdragon X2 gaming, and the "We are Xbox" messaging. Plus, Paul details 2 big changes in the Windows Insider Program. The latest PowerToys adds 2 useful new utilities and many improvements. And a TWiT listener asked about buying Windows 11 on Arm to virtualize it on a Mac. You're not going to believe what happened next. Windows Microsoft announces big changes to Windows Update Microsoft announces Windows Insider Program changes, with Experimental channel Hands-on with both predictably shows some nice improvements Hands-on with Snapdragon X2 gaming - more wins, but still some losses Microsoft open sources some of the earliest MS-DOS source code and related materials Intel loses $3.7 billion and Wall Street could not be happier. WTF is happening - Paul has a theory and its called collusion AI Microsoft and OpenAI revise partnership again and wait for it... OpenAI immediately signs on with AWS Microsoft 365 Copilot subscribers get Word, Excel, and PowerPoint agentic AI features Copilot in Outlook can manage your inbox and calendar, but seriously stop using Outloook GitHub Copilot's switch to usage-based billing starts June 1 OpenAI is reportedly working on a phone because of course it is Adobe Firefly AI Assistant is now available in preview And then Anthropic goes deeper into the creator market Xbox and gaming Microsoft Gaming is being (re)rebranded to Xbox! New Xbox leadership can't stop explaining its plans and it's glorious Microsoft still plans a mobile game store, waiting on Apple to stop being so f'ing terrible Valve's Steam Controller will cost $99 and launches next week Tips and picks Tip of the week: Windows licenses, $, and you App pick of the week: PowerToys 0.99 RunAs Radio this week: M365 Copilot vs Claude Cowork with Sharon Weaver Brown liquor pick of the week: Reifel Rye Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Download or subscribe to Windows Weekly at https://twit.tv/shows/windows-weekly Check out Paul's blog at thurrott.com The Windows Weekly theme music is courtesy of Carl Franklin. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: webroot.com/twit zscaler.com/security

This episode dives into early MS-DOS/PC-DOS source code, Snapdragon X2 gaming, and the "We are Xbox" messaging. Plus, Paul details 2 big changes in the Windows Insider Program. The latest PowerToys adds 2 useful new utilities and many improvements. And a TWiT listener asked about buying Windows 11 on Arm to virtualize it on a Mac. You're not going to believe what happened next. Windows Microsoft announces big changes to Windows Update Microsoft announces Windows Insider Program changes, with Experimental channel Hands-on with both predictably shows some nice improvements Hands-on with Snapdragon X2 gaming - more wins, but still some losses Microsoft open sources some of the earliest MS-DOS source code and related materials Intel loses $3.7 billion and Wall Street could not be happier. WTF is happening - Paul has a theory and its called collusion AI Microsoft and OpenAI revise partnership again and wait for it... OpenAI immediately signs on with AWS Microsoft 365 Copilot subscribers get Word, Excel, and PowerPoint agentic AI features Copilot in Outlook can manage your inbox and calendar, but seriously stop using Outloook GitHub Copilot's switch to usage-based billing starts June 1 OpenAI is reportedly working on a phone because of course it is Adobe Firefly AI Assistant is now available in preview And then Anthropic goes deeper into the creator market Xbox and gaming Microsoft Gaming is being (re)rebranded to Xbox! New Xbox leadership can't stop explaining its plans and it's glorious Microsoft still plans a mobile game store, waiting on Apple to stop being so f'ing terrible Valve's Steam Controller will cost $99 and launches next week Tips and picks Tip of the week: Windows licenses, $, and you App pick of the week: PowerToys 0.99 RunAs Radio this week: M365 Copilot vs Claude Cowork with Sharon Weaver Brown liquor pick of the week: Reifel Rye Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Download or subscribe to Windows Weekly at https://twit.tv/shows/windows-weekly Check out Paul's blog at thurrott.com The Windows Weekly theme music is courtesy of Carl Franklin. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: webroot.com/twit zscaler.com/security

This episode dives into early MS-DOS/PC-DOS source code, Snapdragon X2 gaming, and the "We are Xbox" messaging. Plus, Paul details 2 big changes in the Windows Insider Program. The latest PowerToys adds 2 useful new utilities and many improvements. And a TWiT listener asked about buying Windows 11 on Arm to virtualize it on a Mac. You're not going to believe what happened next. Windows Microsoft announces big changes to Windows Update Microsoft announces Windows Insider Program changes, with Experimental channel Hands-on with both predictably shows some nice improvements Hands-on with Snapdragon X2 gaming - more wins, but still some losses Microsoft open sources some of the earliest MS-DOS source code and related materials Intel loses $3.7 billion and Wall Street could not be happier. WTF is happening - Paul has a theory and its called collusion AI Microsoft and OpenAI revise partnership again and wait for it... OpenAI immediately signs on with AWS Microsoft 365 Copilot subscribers get Word, Excel, and PowerPoint agentic AI features Copilot in Outlook can manage your inbox and calendar, but seriously stop using Outloook GitHub Copilot's switch to usage-based billing starts June 1 OpenAI is reportedly working on a phone because of course it is Adobe Firefly AI Assistant is now available in preview And then Anthropic goes deeper into the creator market Xbox and gaming Microsoft Gaming is being (re)rebranded to Xbox! New Xbox leadership can't stop explaining its plans and it's glorious Microsoft still plans a mobile game store, waiting on Apple to stop being so f'ing terrible Valve's Steam Controller will cost $99 and launches next week Tips and picks Tip of the week: Windows licenses, $, and you App pick of the week: PowerToys 0.99 RunAs Radio this week: M365 Copilot vs Claude Cowork with Sharon Weaver Brown liquor pick of the week: Reifel Rye Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Download or subscribe to Windows Weekly at https://twit.tv/shows/windows-weekly Check out Paul's blog at thurrott.com The Windows Weekly theme music is courtesy of Carl Franklin. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: webroot.com/twit zscaler.com/security

This episode dives into early MS-DOS/PC-DOS source code, Snapdragon X2 gaming, and the "We are Xbox" messaging. Plus, Paul details 2 big changes in the Windows Insider Program. The latest PowerToys adds 2 useful new utilities and many improvements. And a TWiT listener asked about buying Windows 11 on Arm to virtualize it on a Mac. You're not going to believe what happened next. Windows Microsoft announces big changes to Windows Update Microsoft announces Windows Insider Program changes, with Experimental channel Hands-on with both predictably shows some nice improvements Hands-on with Snapdragon X2 gaming - more wins, but still some losses Microsoft open sources some of the earliest MS-DOS source code and related materials Intel loses $3.7 billion and Wall Street could not be happier. WTF is happening - Paul has a theory and its called collusion AI Microsoft and OpenAI revise partnership again and wait for it... OpenAI immediately signs on with AWS Microsoft 365 Copilot subscribers get Word, Excel, and PowerPoint agentic AI features Copilot in Outlook can manage your inbox and calendar, but seriously stop using Outloook GitHub Copilot's switch to usage-based billing starts June 1 OpenAI is reportedly working on a phone because of course it is Adobe Firefly AI Assistant is now available in preview And then Anthropic goes deeper into the creator market Xbox and gaming Microsoft Gaming is being (re)rebranded to Xbox! New Xbox leadership can't stop explaining its plans and it's glorious Microsoft still plans a mobile game store, waiting on Apple to stop being so f'ing terrible Valve's Steam Controller will cost $99 and launches next week Tips and picks Tip of the week: Windows licenses, $, and you App pick of the week: PowerToys 0.99 RunAs Radio this week: M365 Copilot vs Claude Cowork with Sharon Weaver Brown liquor pick of the week: Reifel Rye Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Download or subscribe to Windows Weekly at https://twit.tv/shows/windows-weekly Check out Paul's blog at thurrott.com The Windows Weekly theme music is courtesy of Carl Franklin. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: webroot.com/twit zscaler.com/security

If you've been watching pet business owners post in groups about closing their doors and wondering if you're next... this is for you. Because there is a wave coming. And the line between who survives and who sells out is being drawn right now — and AI is the divider. Timestamps [0:00] — Cold open: $80 billion just bet on the future of AI [2:00] — Why this affects YOUR pet sitting business [3:30] — The Google + Anthropic deal explained simply [6:00] — OpenAI just announced agents are replacing GPTs [7:00] — Magai: how to access every major AI model in one place [8:00] — The listener message I had to read on air [9:30] — Three reasons the selling wave is starting RIGHT NOW [11:00] — A line in the sand: who this episode is NOT for [12:30] — How the AI gap will split this industry in two [14:30] — VC and private equity are circling pet businesses [16:00] — The 3-layer survival system: SOPs ? Brain ? Agents [19:00] — Why you cannot do this alone [20:00] — Mastermind invitation + your one action this week In This Episode You'll Discover Why a wave of pet sitting businesses are quietly closing or selling in 2026 (and the three reasons converging at once) What the $80 billion Google and Amazon investment in Anthropic actually means for small business owners The line in the sand: who is positioned to survive this shift, and who will get left behind The 3-layer AI survival system — SOPs, AI brain, and agents — and why skipping any layer guarantees failure Why first-mover pet business owners will be the BUYERS in the consolidation wave, not the sellers About This Episode Bella Vasta is the CEO and founder of Jump Consulting and the host of Bella in Your Business — the longest-standing pet business podcast in the industry. She has coached pet sitters and small business owners for over 25 years, and is widely recognized as the go-to voice for AI integration in the pet industry. Her Jumpers Mastermind has helped pet business owners scale, hire, and now adopt AI in ways their competitors haven't even considered. Resources Mentioned in This Episode The Jumpers Mastermind — Monday-Friday access to Bella, two live monthly meetings, free monthly coaching call, and 8 years of archives — the room where Bella teaches the SOPs, AI brain, agents' progression in real time. Magai (30% off, all major AI models in one place) — Claude, ChatGPT, Gemini, Perplexity, and Grok in one subscription — so you're not locked into one vendor as the AI landscape changes. How to Set Up Claude in Your Pet Business (Bella's recent blog) — The step-by-step companion to layer 2 of the survival system — building an AI brain that actually knows your business. Free 20-Minute Call With Bella — Bring one problem. Bella helps you think through it. No pitch. Connect with Bella Website Sessions with Bella The Jumpers Mastermind Subscribe to Bella in Your Business Bella's Website Find Bella on Instagram and Facebook — search Bella Vasta Frequently Asked Questions Q: Why are pet sitting businesses closing in 2026? A: Three pressures are converging at the same time. First, many of these businesses launched 15 to 20 years ago and the founders are ready to exit. Second, profit margins are getting squeezed by rising wages, insurance costs, and taxes. Third — and this is the one nobody is talking about yet — AI is creating a competitive gap where businesses that have adopted it can serve more clients with less staff, and the businesses that haven't are watching their bookings drift to competitors who can. Q: Will AI replace pet sitters? A: No. AI cannot walk a dog, give a cat insulin, or sit with a senior pet. What AI replaces is the back-office workload — the inquiries, scheduling, care notes, hiring, marketing, and admin work that eats your evenings. Pet sitters who use AI well will have MORE time for the actual care work. Pet sitters who refuse to use AI will burn out trying to compete. Q: Should I sell my pet sitting business? A: Only if you've decided you're done — not because you're tired of the admin. The pet business owners who sell out of exhaustion in 2026 will likely sell low, because consolidators and venture capital firms know the seller is desperate. If your real problem is overwhelm, the answer might not be to sell — it might be to learn AI, document your business, and let the systems carry the weight. That's what the Jumpers Mastermind exists to teach. Q: What did Google's $40 billion investment in Anthropic actually mean for small businesses? A: It signals that the company building Claude — which most pet business owners haven't even tried yet — is about to get faster, cheaper, and more powerful, with Google's compute and data center infrastructure behind it. Practically, that means Claude will likely show up inside Google Workspace, Gmail, Drive, and Calendar over the next 12 to 18 months. The small business owners who already know how to use Claude will be ahead. The ones still using only ChatGPT may find themselves on the wrong tool when the shift happens. Q: How do pet business owners actually start using AI without getting overwhelmed? A: There is a specific order. Layer one: document your standard operating procedures (SOPs) — every process in your business written down. Layer two: feed those SOPs into an AI like Claude to give it a 'brain' that actually knows your business. Layer three: build agents that can run pieces of your business for you. Most owners try to skip to layer three and fail. Get the SOPs done first. Everything else builds from there. Full Episode Transcript Google just dropped $40 billion to Anthropic. $40 billion! That brings the total that Google has put into the company that builds Claude, Anthropic, to over $55 billion in two years. Billion with a B, okay? And Amazon is in for another $45 billion. So the company that makes Claude and the AI tool I literally use every single day in my business and life. just had $80 billion walk through its front door by the two largest cloud companies on the planet. Okay? The number is bigger than the GDP, gross domestic product, of most countries. And here's why this matters to you. Because while everyone else is still asking if they should bother to use AI or a prompt for chat GPT, the biggest company in the world, they're telling us exactly where this is going. with their checkbooks. And in this episode, I'm going to tell you what I think happens next and why a wave of pet sitting businesses and small businesses across the whole country are about to sell clothes or get swallowed up and what the people listening to this podcast need to do right now so that you don't become one of them. Hi, I'm Bella and this is Bella in Your Business. Let's get into it. Real quick before we dive in, if you haven't subscribed yet or hit like or subscribe or any of that, wherever you're listening, this episode is one that you're wanna come back to. You're gonna wanna save it, you're gonna wanna share it with your friends. And if you know one small business owner who is overwhelmed by all this AI stuff, share the episode with them. Don't let them get left behind and let them understand what's going on on a higher 30,000 foot view, all right? So let's... Let's get into. And if you know one other small business owner who's overwhelmed by all of this AI stuff, share this episode with them. Please don't let them get left behind. It's gonna be a very big overview so that everyone's gonna be able to consume this and then percolate on what they should do in their own business. I cannot wait to get into it. All right, so you've been hearing about all these AI investments and your eyes glaze over because honestly, who can even comprehend billions of dollars, right? and like 40 billion, 65 billion, 80 billion, it sounds like monopoly money. But here's what's actually happening underneath those numbers and why I want you to pay attention. All right, so most business owners scroll past these headlines because what does it have to do with you, right? Like you're trying to fill a schedule, hire a sitter, get out of the weeds. You don't have time to track what a tech company is doing and who bought out who or whatever. Like I get it, I do, and that's why I'm here. I saw a really sharp breakdown from Jonathan Maas this week and I wanted to pull a few pieces out of it because what he laid out is something that every business owner needs to understand. So here's what's going on. Google has been quietly building a stake in Anthropic for a couple of years now. 300 million here, 200 or 2 billion there. They were already around 14 % ownership and now they just took another 40 put another 40 billion on the table. With performance milestones attached, like you get more if you perform X, all right? Google doesn't write a $40 billion check to companies that they plan to sit back and watch. This is what Jonathan says. Performance milestones mean that Google has a seat at the table for what Claude becomes next, how fast it moves, what it builds, which is just mind blowing because Google also has Gemini. Are you staying in here with me? Okay? I mean, And then on the other side, Amazon is also up for 25 billion running Claude through Amazon AWS, through AWS. AWS is like what like holds the cloud compute for so many companies, all right? So putting it inside Amazon Bedrock, so any developer building on Amazon's cloud has Claude right there in the cloud already. So the company that already makes Claude, has the two biggest cloud providers in the world elbowing each other to be their preferred provider. Are you with me? Okay, and this isn't an accident, it's leverage. And here's where it gets really interesting. Right now the most well known tool is ChatGBT by millions on the numbers, okay? And most of you have probably tried it, you probably have a subscription to it, but Claude, the one Google, like,

This episode dives into early MS-DOS/PC-DOS source code, Snapdragon X2 gaming, and the "We are Xbox" messaging. Plus, Paul details 2 big changes in the Windows Insider Program. The latest PowerToys adds 2 useful new utilities and many improvements. And a TWiT listener asked about buying Windows 11 on Arm to virtualize it on a Mac. You're not going to believe what happened next. Windows Microsoft announces big changes to Windows Update Microsoft announces Windows Insider Program changes, with Experimental channel Hands-on with both predictably shows some nice improvements Hands-on with Snapdragon X2 gaming - more wins, but still some losses Microsoft open sources some of the earliest MS-DOS source code and related materials Intel loses $3.7 billion and Wall Street could not be happier. WTF is happening - Paul has a theory and its called collusion AI Microsoft and OpenAI revise partnership again and wait for it... OpenAI immediately signs on with AWS Microsoft 365 Copilot subscribers get Word, Excel, and PowerPoint agentic AI features Copilot in Outlook can manage your inbox and calendar, but seriously stop using Outloook GitHub Copilot's switch to usage-based billing starts June 1 OpenAI is reportedly working on a phone because of course it is Adobe Firefly AI Assistant is now available in preview And then Anthropic goes deeper into the creator market Xbox and gaming Microsoft Gaming is being (re)rebranded to Xbox! New Xbox leadership can't stop explaining its plans and it's glorious Microsoft still plans a mobile game store, waiting on Apple to stop being so f'ing terrible Valve's Steam Controller will cost $99 and launches next week Tips and picks Tip of the week: Windows licenses, $, and you App pick of the week: PowerToys 0.99 RunAs Radio this week: M365 Copilot vs Claude Cowork with Sharon Weaver Brown liquor pick of the week: Reifel Rye Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Download or subscribe to Windows Weekly at https://twit.tv/shows/windows-weekly Check out Paul's blog at thurrott.com The Windows Weekly theme music is courtesy of Carl Franklin. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: webroot.com/twit zscaler.com/security

This episode dives into early MS-DOS/PC-DOS source code, Snapdragon X2 gaming, and the "We are Xbox" messaging. Plus, Paul details 2 big changes in the Windows Insider Program. The latest PowerToys adds 2 useful new utilities and many improvements. And a TWiT listener asked about buying Windows 11 on Arm to virtualize it on a Mac. You're not going to believe what happened next. Windows Microsoft announces big changes to Windows Update Microsoft announces Windows Insider Program changes, with Experimental channel Hands-on with both predictably shows some nice improvements Hands-on with Snapdragon X2 gaming - more wins, but still some losses Microsoft open sources some of the earliest MS-DOS source code and related materials Intel loses $3.7 billion and Wall Street could not be happier. WTF is happening - Paul has a theory and its called collusion AI Microsoft and OpenAI revise partnership again and wait for it... OpenAI immediately signs on with AWS Microsoft 365 Copilot subscribers get Word, Excel, and PowerPoint agentic AI features Copilot in Outlook can manage your inbox and calendar, but seriously stop using Outloook GitHub Copilot's switch to usage-based billing starts June 1 OpenAI is reportedly working on a phone because of course it is Adobe Firefly AI Assistant is now available in preview And then Anthropic goes deeper into the creator market Xbox and gaming Microsoft Gaming is being (re)rebranded to Xbox! New Xbox leadership can't stop explaining its plans and it's glorious Microsoft still plans a mobile game store, waiting on Apple to stop being so f'ing terrible Valve's Steam Controller will cost $99 and launches next week Tips and picks Tip of the week: Windows licenses, $, and you App pick of the week: PowerToys 0.99 RunAs Radio this week: M365 Copilot vs Claude Cowork with Sharon Weaver Brown liquor pick of the week: Reifel Rye Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Download or subscribe to Windows Weekly at https://twit.tv/shows/windows-weekly Check out Paul's blog at thurrott.com The Windows Weekly theme music is courtesy of Carl Franklin. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: webroot.com/twit zscaler.com/security

Podcast ONE: 17 de abril de 2026 Gemini Skills en Chrome. Claude Opus 4.7 aplasta a GPT 5.4. Canva IA 2.0 con modo offline. PeekDesktop gratis para Windows. Tres indie games y el mapa de libertad de internet 2026. @vincent_quezada en #one_digital #onedigital #PodcastONE ¡Escúchalo! Escucha aquí el Podcast ONE: 17 de abril de 2026 One Digital — 17 de abril 2026: Gemini Skills en Chrome, Claude Opus 4.7, Canva IA 2.0, videojuegos indie y libertad de internet En este episodio del viernes 17 de abril de 2026 — con Vincent Quezada en directo desde São Paulo, Brasil —, se repasa una semana intensa marcada por tres grandes lanzamientos de IA: las Habilidades de Gemini en Chrome (14 de abril), Claude Opus 4.7 de Anthropic (16 de abril) y Canva IA 2.0 (16 de abril). Además, tres videojuegos indie muy distintos en tono — el noir cinematográfico de MousePi for Hire, el competitivo táctico de Last Flag y la ternura de The Day I Became a Bird —, la herramienta gratuita PeekDesktop para Windows, el juego artístico medieval Scriptorium: Master of the Manuscripts, un adelanto de Tree Planter y el informe global de libertad de internet 2026. Habilidades de Gemini en Chrome: la IA agéntica llega a tu navegador Google Chrome lanzó el 14 de abril de 2026 una actualización que integra las Habilidades (Skills) de Gemini directamente en el panel lateral del navegador. La propuesta es sencilla pero poderosa: según datos internos de Google, los usuarios repiten el mismo comando en Gemini hasta 5 veces al día. Con las Habilidades, esos comandos se guardan como atajos reutilizables y se ejecutan con un solo clic — o escribiendo / en el panel — en una o varias pestañas al mismo tiempo. ¿Qué son y cómo funcionan? Definición: Atajos personalizados que ejecutan comandos de IA guardados previamente, aplicables a cualquier página web abierta en Chrome. Biblioteca incluida: Más de 50 habilidades preconfiguradas para tareas como comparar productos en tiendas, resumir documentos, adaptar recetas a dietas específicas, reescribir textos por tono (casual, técnico) o planificar viajes. Creación manual: Escribe un comando → recibe respuesta → selecciona “Guardar como habilidad” desde el historial del chat → asigna nombre y emoji → listo. Gestión: Desde el ícono de brújula en el panel de Gemini, donde también se pueden editar o ampliar con instrucciones adicionales. Sincronización: Las habilidades están vinculadas a la cuenta de Google del usuario y están disponibles desde cualquier dispositivo con Chrome iniciado. Seguridad: Para acciones sensibles — envío de correos, creación de eventos de calendario, uso de tarjetas de crédito — el sistema siempre solicita confirmación explícita antes de ejecutar. Navegador tradicional vs. Chrome con Gemini Característica Navegador tradicional Chrome con Gemini Skills Automatización de tareas Manual (copiar, pegar, abrir pestañas) Automática vía habilidades guardadas Interacción con contenido Lectura pasiva Respuestas contextualizadas, extracción de datos en página Personalización Solo historial y marcadores Habilidades personalizables, aprendizaje de hábitos Seguridad HTTPS + bloqueo de ventanas emergentes Confirmación en acciones sensibles, cifrado de comandos Disponibilidad y limitaciones actuales Disponible solo para usuarios en Estados Unidos con Chrome en inglés. Expansión a México y Latinoamérica prevista en semanas o meses. Solo funciona en la versión de escritorio de Chrome (Windows, macOS, ChromeOS). Sin fecha para móviles. Las habilidades borradas no se pueden recuperar automáticamente — recomendable anotar los comandos importantes. No se pueden compartir entre cuentas, pero sí se puede pasar el prompt por mensaje para que otro usuario lo guarde en su propia cuenta. Herramientas similares ya existentes: MaxAI y TwinBrain ofrecen funciones parecidas, pero sin la integración nativa de cuenta de Google. “Permiten pasar de ‘tengo que escribir este comando cinco veces al día’ a ‘un clic y listo’. Eso es productividad real” — Vincent Quezada Claude Opus 4.7 de Anthropic: el modelo que lee tus capturas de pantalla Anthropic lanzó el 16 de abril de 2026 Claude Opus 4.7, sucesor directo de Opus 4.6, disponible en Claude.ai, la API de Anthropic, Amazon Bedrock, Google Cloud Vertex AI y Microsoft Foundry. El precio se mantiene igual: $5 USD por millón de tokens de entrada y $25 USD por millón de tokens de salida. Mejoras concretas sobre Opus 4.6 Eficiencia agéntica: 64.3% en benchmarks de tareas autónomas, frente al 53.4% de Opus 4.6, el 57.7% de GPT 5.4 y el 54.2% de Gemini 3.1 Pro. Visión de alta resolución: Acepta imágenes de hasta 2,566 píxeles de largo (~3.75 megapíxeles), más del triple que modelos anteriores de Claude. Habilita agentes que leen capturas de pantalla densas y extraen datos de diagramas técnicos complejos. Precisión con herramientas: 87.6% en tareas de visión con herramientas habilitadas vs. 74.5% sin herramientas — 10 a 12 puntos por encima de Opus 4.6. Razonamiento en documentos: 80.6% vs. 57.1% de Opus 4.6 — prácticamente duplica a Gemini y supera en ~30% a GPT 5.4. Contexto largo: 71% vs. 58.6% de Opus 4.6. Seguimiento literal de instrucciones: El modelo ejecuta las instrucciones de forma estricta — ventaja para desarrollo, pero requiere revisar prompts diseñados para versiones anteriores. Novedades para desarrolladores Nivel de esfuerzo X-High: Nuevo nivel entre High y Max para control más fino entre profundidad de razonamiento y velocidad. En Claude Code, se convierte en el nivel predeterminado para todos los planes. Control de presupuesto de tareas (beta): Permite a los desarrolladores limitar el gasto en tokens durante ejecuciones largas — especialmente relevante porque “pensar cuesta muchísimo dinero”. Comando Ultra Review en Claude Code: Genera una sesión de revisión que detecta errores de diseño que identificaría un revisor cuidadoso. Planes Pro y Max reciben 3 revisiones de prueba sin costo. Consideraciones de costo en la migración El analizador de texto actualizado puede generar entre 1.0 y 1.35x más tokens según el tipo de contenido. El modelo razona más a nivel de esfuerzo elevado en tareas autónomas, generando más tokens de pensamiento. Recomendación de Anthropic antes de migrar: ajustar nivel de esfuerzo, configurar presupuesto de tarea, indicar al modelo que sea más conciso y medir el impacto en el tráfico propio. Seguridad Opus 4.7 es el primer modelo de Anthropic que incorpora salvaguardas automáticas para detectar y bloquear solicitudes de uso prohibido en ciberseguridad. El lanzamiento de Mythos Preview — que en pruebas detectó errores de diseño críticos en sistemas reales — permanece restringido mientras se validan estas protecciones en modelos menos avanzados. “Anthropic no exagera en esta ocasión. Presenta números concretos, reconoce limitaciones y ofrece herramientas reales de control. Eso en el ecosistema actual de IA no es poca cosa” — Vincent Quezada Canva IA 2.0: de herramienta de diseño a sistema central creativo El 16 de abril de 2026, en el evento Canva Creative 2026 en Los Ángeles, Canva presentó su mayor evolución desde su fundación en 2013. Canva IA 2.0 transforma la plataforma de una herramienta de diseño a un asistente conversacional completo que entiende lenguaje natural, mantiene contexto del proyecto y coordina flujos de trabajo de principio a fin. En México, uno de cada ocho usuarios de internet utiliza Canva mensualmente; en los últimos 12 meses se crearon 791 millones de diseños, alcanzando casi 3,000 millones en total. 10 novedades clave de Canva IA 2.0 Diseño conversacional: Describe una idea en lenguaje natural y Canva genera un diseño 100% editable con estructura, estilo de marca y layout desde el inicio. Orquestación de agentes: Ingresa un brief creativo y Canva coordina todas las herramientas necesarias para generar el contenido completo listo para editar o publicar. Inteligencia basada en objetos: Ediciones precisas sin afectar el resto del diseño — cada elemento se mantiene en capas editables independientes. Memoria activa: Aprende tu forma de trabajar, aplica automáticamente el estilo de marca y evoluciona con el tiempo. Modo offline (Canva Offline): Permite seguir creando sin internet. Los cambios se sincronizan automáticamente al reconectarse. Flujos de trabajo inteligentes: Centraliza herramientas, flujos y resultados desde un diseño rápido hasta campañas integrales. Conectores: Integra Slack, Gmail, Google Drive y Calendar. Genera resúmenes de reuniones, convierte correos en discursos de ventas o crea newsletters basados en actividad de Slack. Tareas programadas: Automatizaciones como “genera contenido social todos los viernes” o “crea resúmenes de correo diario”. Búsqueda web integrada: Realiza búsquedas y estructura la información directamente en el diseño — ideal para propuestas de negocio o estudios de mercado. Inteligencia de marca: Aplica automáticamente fuentes, colores y estilos de marca en cada diseño, actualizando el trabajo existente al instante. Modelos propios de Canva IA 2.0 Canva Proteus: Experiencia de estilo. Canva Lucid Origin: Generación de imágenes. Canva IA2B: Conversión de imagen a video. Hasta 7 veces más rápidos y 30 veces más económicos que alternativas comparables para sus más de 250 millones de usuarios activos mensuales. Disponibilidad: Versión preliminar desde el 16 de abril para el primer millón de usuarios con expansión progresiva. México se encuentra entre los cinco países con mayor adopción de funciones avanzadas. “Equipo de dos personas que maneja más de 10 blogs. Toda herramienta que ayude a administrar tiempo es bienvenida. Canva IA 2.0 hace exactamente eso” — Vincent Quezada PeekDesktop v0.7.2: el gesto de macOS que Windows necesitaba PeekDesktop es una herramienta gratuita que replica en Windows el comportamiento de macOS Sonoma: un clic en cualquier zona vacía del fondo de pantalla oculta todas las ventanas activas al instante; un segundo clic o cualquier interacción con la barra de tareas restaura todo exactamente como estaba. Lee la guía completa en onedigital.mx. Ventaja sobre Windows+D nativo: El atajo nativo no siempre restaura las ventanas al estado previo con fidelidad. PeekDesktop sí lo hace. Sin instalación: Solo ejecuta el archivo .exe descargado. No requiere dependencias externas. Inicio automático: Pega el acceso directo en la carpeta Startup (Windows+R → shell:startup) para que cargue con Windows. Compatible con Windows 10 y 11, que juntos representan más del 98% del ecosistema Windows activo. Peso: Menos de 1 MB. Para desinstalarlo, basta eliminar el ejecutable y el acceso en la carpeta Startup. Videojuegos de la semana MousePi for Hire — Directive Noir (Fumi Games / Plainside Studios) Shooter en primera persona ambientado en un mundo de animación Rubber Hose dibujada a mano, fotograma a fotograma, en blanco y negro con filtros de grano cinematográfico. Jack Pepper, excombatiente de guerra reconvertido en detective privado, recibe un encargo que escala rápidamente a una red de corrupción, secuestros y asesinatos en la ciudad de Ratiburgo. Troy Baker pone la voz. Disponible en PC (Steam, certificado Steam Deck Perfect), PlayStation 5, Xbox Series X|S y Nintendo Switch. Jugabilidad: Wall running, doble salto y gancho; más de 20 niveles con estructura Metroidvania; arsenal de más de 10 armas con mejoras visuales que modifican el comportamiento en combate. Banda sonora: Big Band orquestal compuesta por Patrick Cislina, adaptativa según la acción. Pros: Estética visual única, banda sonora extraordinaria, movimiento fluido, dificultad ajustable, precio accesible, corre en cualquier PC actual. Contras: Diseño de niveles laberíntico en algunas secciones, narrativa predecible, patrones de jefe repetitivos, duración acotada. Last Flag (Nike Street Games) Shooter competitivo 5 vs. 5 basado en captura de bandera con una mecánica diferenciadora: al inicio de cada partida los equipos disponen de 60 segundos para esconder su bandera en cualquier punto de su mitad del mapa. La decisión táctica del escondite es tan importante como el combate posterior. Entrevistado por One Digital en el Gamescom 2024 — ahora disponible en Steam. Sistema económico interno: Se adquieren mejoras durante la partida (visión de enemigos, escudos adicionales). Elenco: 8–10 personajes con arma principal única y dos habilidades especiales — exploradores, artilleros, especialistas en sigilo y soportes. Escenarios: Pueblo fantasma en cañón boscoso, aldea de montañas nevada, templos ancestrales — todos construidos a mano como sets televisivos. Optimización: 144 fps en 4K con requisitos accesibles (RTX 1060/RX 960 son suficientes). Soporte para mandos Xbox, DualSense y DualShock. Anti-cheat integrado. Contras: Modo de juego único, dependencia de comunidad activa, progresión de pase de temporada lenta para jugadores casuales. The Day I Became a Bird (Hyper Unical Games / No School Games) Aventura narrativa emotiva basada en un cuento ilustrado de origen francés. Frank, un niño preadolescente, se enamora de su compañera de clase Sylvia — apasionada de las aves — y decide construirse un disfraz de pájaro con cartón, plumas y pegamento para integrarse a su universo. Duración: 70–90 minutos. Arte visual pintado a mano, banda sonora adaptativa de melodías de pájaros. Lee la reseña completa en onedigital.mx. Sin penalizaciones: Los fallos generan situaciones cómicas. Reintentos inmediatos sin interrupción narrativa. Mecánicas: Exploración pausada, alineación de piezas, trazado de formas, secuencias rítmicas y colección de materiales para el disfraz. Demo gratuita disponible en Steam. Disponible para PC (Steam), PS5 y Nintendo Switch. Incluye español. Recomendado por Vincent especialmente para padres con hijos preadolescentes — “jugar juntos la historia es una alternativa a contarla”. Contras: Muy corto para jugadores que buscan contenido extenso, mecánicas simples sin reto técnico. Scriptorium: Master of the Manuscripts (Jazza Games) Herramienta creativa del estudio detrás de Inkulinati. El jugador asume el rol de un escriba medieval que acepta encargos de clientes variopintos y compone páginas iluminadas con una biblioteca de más de 1,000 elementos históricos auténticos. Dos modos: historia con intrigas cortesanas y humor negro, y sandbox de pergamino en blanco. Paleta medieval: Azul ultramar, rojo bermellón y pan de oro. Texturas que simulan pergamino desgastado. Banda sonora: Instrumentos de cuerda pulsada (oud, arpa) con flautas y ambientes de monasterio. Exportación PNG de alta calidad — la comunidad ya lo usa para cartas de tarot, mapas de fantasía, memes medievales y recreaciones de cultura pop. Requisitos: Windows 10/11, 8 GB RAM, 8 GB en disco. Disponible en Steam desde el 16 de abril. Contras: El espacio del pergamino puede saturarse en encargos complejos, sin retroalimentación compositiva, sin multijugador. Tree Planter (próximamente) — Henry River, Diana Swan y Harry Kahn Juego indie de creación de bosques interactivos con conciencia ecológica. Por cada copia vendida, el equipo se compromete a plantar un árbol en granjas y escuelas locales. Visualmente usa texturas suaves y paletas pastel; mecánicas simples accesibles para cualquier edad. Revisión completa la próxima semana. Libertad de internet en el mundo 2026: México en el lugar 72 El informe de Crowe World — basado en datos de Freedom House y Onyx Florey — analizó 65 países en cuatro categorías: torrenting, contenido para adultos, expresión política y cívica en línea, y accesibilidad de VPN. Solo 11 países alcanzaron la puntuación máxima de 92/100: Bélgica, Costa Rica, Dinamarca, Finlandia, Islandia, Liechtenstein, Nueva Zelanda, Noruega, Eslovenia, Surinam y Timor-Leste. Peores puntuaciones: Corea del Norte (0), Rusia, Pakistán, Irán y China. México: 72 puntos — misma posición que Bulgaria y España. Las restricciones se concentran en torrenting y expresión política; el acceso a redes sociales, VPN y contenido para adultos sigue siendo libre. Costa Rica: 92 puntos — el mejor de América Latina. Tendencia global: La libertad en la red lleva ocho años en declive, incluso en democracias establecidas. “La libertad de internet no solo es un derecho digital, sino un pilar fundamental para la democracia y el desarrollo en el siglo XXI” — Vincent Quezada Nota operativa: ataques DDoS y verificaciones de seguridad en onedigital.mx Los lectores pueden ver ocasionalmente el mensaje “verificando que eres humano” al acceder a onedigital.mx. Los ataques DDoS consisten en bots que generan miles de peticiones simultáneas hasta saturar el servidor. La defensa activa con filtros de verificación es una medida necesaria, especialmente en un contexto donde los atacantes usan herramientas de IA para detectar vulnerabilidades con mayor velocidad. El equipo trabaja en ajustar los filtros para reducir la fricción sin comprometer la seguridad. El cargo Podcast ONE: 17 de abril de 2026 apareció primero en OneDigital.

AI is reshaping not just what software can do, but how it gets built and by whom. JB Brown, VP of Engineering at Smartsheet, shares how his team is navigating that shift from both sides of the equation, developing AI-powered capabilities for customers while fundamentally rethinking how engineers do their work.In conversation with Chris McNabney, Director of Solution Architecture at AWS, JB explains how Smartsheet's intelligent work management vision, powered by a Knowledge Graph built on Amazon Neptune, is giving customers digital teammates that help drive strategic outcomes at a speed and scale previously out of reach. He also shares the concrete productivity gains his engineering teams are seeing with tools like Roo Code and Amazon Bedrock, including an 80% reduction in CI pipeline time and around a 60% drop in average token costs.From managing agentic workflows to building AI that earns enterprise trust, this episode offers engineering and product leaders a grounded look at what it takes to lead AI transformation from the front.

AI's next phase is arriving fast—and it's reshaping everything from cloud performance to cybersecurity. This week, Amazon Web Services and Cerebras unveiled a new approach to dramatically accelerate AI inference by pairing specialized chips through Amazon Bedrock, while Dell, Nutanix, and CrowdStrike rolled out infrastructure and security innovations at GTC 2026 to support the rapid rise of agentic AI across enterprise environments. At the same time, Zscaler expanded data sovereignty controls to meet tightening global regulations, and Cisco rushed to patch a critical CVSS 10.0 SD-WAN vulnerability that could grant attackers full administrative access. Underscoring it all, Nvidia's Jensen Huang projected a staggering $1 trillion in demand for next-gen AI systems by 2027—making one thing clear: the race to power, secure, and scale AI is only just getting started. This and more on the Tech Field Day News Rundown with Tom Hollingsworth and guest host Dave Graham of MLCommons. Time Stamps: 0:00 - Cold Open0:28 - Welcome to the Tech Field Day News Rundown1:13 - AWS and Cerebras Partner to Accelerate AI Inference in the Cloud2:37 - Critical Cisco SD-WAN Authentication Bypass Vulnerability5:38 - Dell Expands AI Infrastructure Portfolio at NVIDIA GTC7:40 - CrowdStrike and NVIDIA Expand AI Security Alliance11:15 - Nutanix Expands AI Platform to Securely Run Enterprise AI Agents13:59 - Zscaler Expands Data Sovereignty Controls for Global Compliance18:26 - NVIDIA CEO Sees $1 Trillion in Orders for Blackwell and Vera Rubin Through 202728:38 - The Weeks Ahead: Upcoming Tech Field Day Events30:29 - Thanks for Watching the Tech Field Day News RundownTune in every Wednesday for the IT news of the week with a variable degree of snarkyness. Guest Host: ⁠Dave Graham, Head of Marketing at MLCommonsFollow our hosts ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Tom Hollingsworth⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Alastair Cooke⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Stephen Foskett⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Follow Tech Field Day ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠on LinkedIn⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, on ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠X/Twitter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, on ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Bluesky⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, and on ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Mastodon⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.

If you're curious about building with LLMs, but you want to skip the hype and learn what it takes to ship something reliable in production, this episode is for you.We share our real-world experience building AI-powered apps and the gotchas you hit after the demo: tokens and cost, quotas and throttling, IAM and access friction, marketplace subscriptions, and structured outputs that do not break your JSON parser.We focus on Amazon Bedrock as AWS's managed inference layer: how to get started with the current access model, how to choose models, how pricing works, and what to watch for in production.We also go deep on structured outputs: constrained decoding, schema design that improves output quality, and how to avoid “grammar compilation timed out”.In this episode, we mentioned the following resources:fourTheorem: Bedrock structured outputs guide https://fourtheorem.com/amazon-bedrock-structured-outputs/Amazon Bedrock https://aws.amazon.com/bedrock/Bedrock docs https://docs.aws.amazon.com/bedrock/latest/userguide/Bedrock pricing https://aws.amazon.com/bedrock/pricing/Structured outputs https://docs.aws.amazon.com/bedrock/latest/userguide/structured-outputs.htmlCross-region inference https://docs.aws.amazon.com/bedrock/latest/userguide/cross-region-inference.htmlQuotas https://docs.aws.amazon.com/bedrock/latest/userguide/quotas.htmlThrottling help https://repost.aws/knowledge-center/bedrock-throttling-errorPrompt caching https://docs.aws.amazon.com/bedrock/latest/userguide/prompt-caching.htmlTroubleshooting error codes https://docs.aws.amazon.com/bedrock/latest/userguide/troubleshooting-api-error-codes.htmlDo you have any AWS questions you would like us to address?Leave a comment here or connect with us on X/Twitter, BlueSky or LinkedIn:- ⁠https://twitter.com/eoins⁠ | ⁠https://bsky.app/profile/eoin.sh⁠ | ⁠https://www.linkedin.com/in/eoins/⁠- ⁠https://twitter.com/loige⁠ | ⁠https://bsky.app/profile/loige.co⁠ | ⁠https://www.linkedin.com/in/lucianomammino/

If you've ever wondered how Oracle Database really works inside AWS, this episode will finally turn the lights on.   Join Senior Principal OCI Instructor Susan Jang as she explains the two database services available (Exadata Database Service and Autonomous Database), how Oracle and AWS share responsibilities behind the scenes, and which essential tasks still land on your plate after deployment.   You'll discover how automation, scaling, and security actually work, and which model best fits your needs, whether you want hands-off simplicity or deeper control.   Oracle Database@AWS Architect Professional: https://mylearn.oracle.com/ou/course/oracle-databaseaws-architect-professional/155574 Oracle University Learning Community: https://education.oracle.com/ou-community LinkedIn: https://www.linkedin.com/showcase/oracle-university/ X: https://x.com/Oracle_Edu   Special thanks to Arijit Ghosh, Anna Hulkower, Kris-Ann Nansen, Radhika Banka, and the OU Studio Team for helping us create this episode.   ------------------------------------------------------------   Episode Transcript:   00:00 Welcome to the Oracle University Podcast, the first stop on your cloud journey. During this series of informative podcasts, we'll bring you foundational training on the most popular Oracle technologies. Let's get started! 00:26   Lois: Hello and welcome to the Oracle University Podcast! I'm Lois Houston, Director of Communications and Adoption with Customer Success Services, and with me is Nikita Abraham, Team Lead: Editorial Services with Oracle University.  Nikita: Hi everyone! In our last episode, we began the discussion on Oracle Database@AWS. Today, we're diving deeper into the database services that are available in this environment. Susan Jang, our Senior Principal OCI Instructor, joins us once again.  00:56 Lois: Hi Susan! Thanks for being here today. In our last conversation, we compared Oracle Autonomous Database and Exadata Database Service. Can you elaborate on the fundamental differences between these two services?     Susan: Now, the primary difference is between the service is really the management model. The Autonomous is fully-managed by Oracle, while the Exadata provides flexibility for you to have the ability to customize your database environment while still having the infrastructure be managed by Oracle.   01:30 Nikita: When it comes to running Oracle Database@AWS, how do Oracle and AWS each chip in? Could you break down what each provider is responsible for in this setup?  Susan: Oracle Database@AWS is a collaboration between Oracle, as well as AWS. It allows the customer to deploy and run Oracle Database services, including the Oracle Autonomous Database and the Oracle Exadata Database Service directly in AWS data centers.   Oracle provides the ability of having the Oracle Exadata Database Service on a dedicated infrastructure. This service delivers full capabilities of Oracle Exadata Database on the Oracle Exadata hardware. It offers high performance and high security for demanding workloads. It has cloud automation, resource scaling, and performance optimization to simplify the management of the service.  Oracle Autonomous Database on the dedicated Exadata infrastructure provides a fully Autonomous Database on this dedicated infrastructure within AWS. It automates the database management tasks, including patching, backups, as well as tuning, and have built-in AI capabilities for developing AI-powered applications and interacting with data using natural language. The Oracle Database@AWS integrates those core database services with various AWS services for a comprehensive unified experience.  AWS provides the ability of having a cloud-based object storage, and that would be the Amazon S3. You also have the ability to have other services, such as the Amazon CloudWatch. It monitors the database metrics, as well as performance. You also have Amazon Bedrock. It provides a development environment for a generative AI application.   And last but not the least, amongst the many other services, you also have the SageMaker. This is a cloud-based platform for development of machine learning models, a wonderful integration with our AI application development needs.  03:54 Lois: How has the work involved in setting up and managing databases changed over time?  Susan: When we take a look at the evolution of how things have changed through the years in our systems, we realize that transfer responsibility has now been migrated more from customer or human interaction to services. As the database technology evolves from the traditional on-premise system to the Exadata engineered system, and finally to the Autonomous Database, certain services previously requiring significant manual intervention has become increasingly automated, as well as optimized.  04:34 Lois: How so?  Susan: When we take a look at the more traditional database environment, it requires manual configuration of hardware, operating system, as well as the software of the database, along with initial database creation. As we evolve into the Exadata environment, the Exadata Database, specifically the Exadata cloud service, simplifies provisioning through web-based wizard, making it faster and easier to deploy the Oracle Database in an optimized hardware.     But when we move it to an Autonomous environment, it automates the entire provisioning process, allowing users to rapidly deploy mission-critical databases without manual intervention, or DBA involvement. So as customers move toward Autonomous Database through Exadata, we have fewer components that the customer needs to manage in the database stack, which gives them more time to focus more on important parts of the business.  With the Exadata Database, it provides a co-management of backup, restore, patches and upgrade, monitoring, and tuning. And it allows the administrator the ability to customize the configuration to meet their very specific business needs. With Autonomous Database, it's now fully automated and it's a greater responsibility is shift toward the service. With Autonomous Database on dedicated infrastructure, it provides that fine-grained tuning more for Oracle to help you perform that task.  06:15 Nikita: If we narrow it down just to Oracle and AWS for a moment, which parts of the infrastructure or day-to-day ops are handled by each company behind the scenes?  Susan: When we take a look at Oracle Database@AWS, it operates under a shared responsibility model, dividing the service responsibilities between AWS, as well as Oracle, as well as you, the customer.   The AWS has the data center. Remember, this is where everything is running. The Oracle Database@AWS, the Oracle Database infrastructure may be managed by Oracle and run in OCI, but is physically located within the AWS regions, as well as the availability zones and the AWS data centers.  The AWS infrastructure, in this case, is AWS's responsibility to secure the environment, including the physical security of the data center, the network infrastructure, and the foundational services like the compute, the storage, and the networking, all within AWS.  The next thing of who's responsible for the shared responsibility, it's Oracle. And that would be the hardware. We provide the hardware. While the hardware may physically reside in the AWS data center, Oracle's Cloud Infrastructure operational team will be the one managing this infrastructure, including software patching, infrastructure update, and other operations through a connection to OCI. This means Oracle handles the provisioning, as well as the maintenance of any of the underlying Exadata infrastructure hardware.  When we take a look at the next thing that it manages, it is also responsible besides the infrastructure of the Exadata. It is also the ability to manage the hardware, the environment of that hardware through the database control plane. So Oracle manages the administration and the operational for the Oracle Database@AWS service, which resides in OCI. So this includes the capabilities for management, upgrade, and operational features.  08:37 Nikita: And what are the key things that still remain on the customer's plate?   Susan: If you are in an Exadata environment or in an Autonomous environment, it is you, the customer, who is responsible for most of the database administration operation, as well as managing the users and the privileges of the user to access the database. No one knows the database and who should be accessing the data better than you.  You will be responsible for securing the applications, the data of the database, which now allows you to define who has access to it, control the data encryption, and securing the application that interacts with the Oracle Database@AWS.  09:29 Lois: Susan, we've talked about both Autonomous Database and Exadata Database Service being available on Oracle Database@AWS, but what's different about how each works in this environment, and why might someone pick one over the other?  Susan: Both databases, even though they run on the same Exadata Cloud Infrastructure, both can be deployed on both public cloud, as well as the customer data center, which is Oracle Cloud@Customer.  The Autonomous Database is a fully managed, completely automated environment. And this provides a capability of having a fully Autonomous Database Service running on a dedicated Oracle Exadata Infrastructure within your AWS data center.  The Exadata is a service that is provided and managed by Oracle and is physically running in the AWS data center, but is designed for mission critical workload and includes RAC environment, Real Application Cluster, offering a high performance availability and full feature capability that is similar to other Exadata environment, such as those running in our customers' data center.  The primary difference is really between the two services. When you take a look at the Exadata, the customer only pays for the compute resources that is used. Autoscaling can be used for a variety or variable resources, the workload, to automatically scale to the compute resources up or down when required.  The Autonomous Database also has automatic optimization for data warehousing, transaction processing, as well as JSON workload. The Exadata service, the customer again, also pays for the compute resources that they allocate. But that's the key thing. The customer can initiate the scaling because it's very specific to the workload that is needed.  So when you take a look at the two database services, one gives the ability to let Oracle fully manage it, including the scaling capability. The other, the Exadata, provides you the capability of having the environment that it's running on the infrastructure be managed by Oracle that adds a database administrator. You may wish to have a little bit more granular control of how you want the database to not only be scaling, but how you wish to customize how the database will be running.  12:10 Nikita: Focusing on Autonomous Database for a moment, what should teams know about how it actually runs within AWS?   Susan: The Autonomous Database on the Oracle Database@AWS brings the power of the Oracle's self-managing, self-securing, and self-repairing database into your AWS environment.  It provides the capability of the database automatically, automates many of the traditional, complex, and time-consuming database management tasks, such as the provisioning of the database, the patching, the backing up, and the scaling, and the performance tuning, reducing the need for any manual intervention by the database administrator.  Running the Autonomous Database in your AWS region enables low latency access for your AWS applications and services that is deployed within AWS, thus improving performance and response time. With the Autonomous Database, it automates many of the traditional things that is now automatically done by Oracle. It also supports integration with various AWS services, such as the ability of the not in addition to AIM, but the cloud formation, the CloudWatch for monitoring and the S3 for the storage.  You can easily migrate existing Exadata workload, including those running on Oracle RAC to AWS with minimum or no change to any of your databases or applications. In addition, there's a really powerful capability and feature of the database is called zero ETL, and that's zero extract, transformation, and load.  It's an integration capability with services like your Amazon Redshift, enabling near real time analytics and machine learning on your transactional database that is stored within the Autonomous Database on in your AWS environment. So with the Autonomous Database, it checks off many of the boxes for automatic capability, securing, tuning, as well as scaling the database.  With the Autonomous Database in the Dedicated Exadata Infrastructure, the Exadata Cloud Infrastructure resource represents the physical system, which can be expanded with storage, as well as compute services, the compute host. This now provides the ability to have an isolated zone for the highest protection from other tenants. The data is stored on a dedicated server only for one customer. That would be you.  14:56 Lois: Could you explain the role of Autonomous VM? What are its primary benefits?  Susan: The virtual machine or as we refer to them as the cluster, includes the grid infrastructure and provides a private network isolation. This provides you the capability of having custom memory, core, and storage allocation.  The Oracle Grid Infrastructure includes the Oracle Clusterware, which manages the cluster, as well as the servers, and ensure that the database can failover to another server in case of any failure.  15:34 Be a part of something big by joining the Oracle University Learning Community! Connect with over 3 million members, including Oracle experts and fellow learners. Engage in topical forums, share your knowledge, and celebrate your achievements together. Discover the community today at mylearn.oracle.com.  15:55 Nikita: Welcome back! Susan, what is the Autonomous Container Database?  Susan: With the Autonomous Container Database, and you need that if you're going to create an Autonomous Database, you need to provision that within your Autonomous Exadata VM Cluster. It serves as a container to hold or to house one or more Autonomous Databases.  This allows multiple Autonomous Databases to coexist in the same infrastructure while still being logically separated. And this allows for the separation of databases based on their intended use. Think of a database for production. Think of a database for development. Think of a database for testing. You may have different database versions within the same infrastructure.  This isolation makes it easier for you to be able to meet your SLA, your Service Level Agreement, any long-term backups you may have, very specific encryption key needs to prevent issues from one database impacting another. So, the ability to have everything be isolated and secure is still grouping it in a manner that will meet your business needs.  17:08 Lois: Looking at Exadata Database Service specifically, what are some standout advantages for customers who deploy it on Oracle Database@AWS? Is there anything in particular they should get excited about in terms of performance or integration with AWS?  Susan: The Exadata Database Service is running on a dedicated Exadata Infrastructure that's deployed within your AWS data center. It delivers the same Exadata service experience in cloud control planes as the Oracle Cloud Infrastructure, allowing you to leverage existing skills and processing across your multi-cloud environment.  It addresses the data resiliency, or residency rather. And that's the scenario where many of our customers has the need. You have a need because of your security compliance to have the data local to you. By having the Exadata Database in your Oracle Database@AWS, it is running in your data center. So, this addresses that very important need, data residency, to have it close to you.  It also allows for seamless integration with other AWS services and applications. So now you have a capability of a hybrid cloud architecture leveraging the benefit of both Oracle Exadata and your AWS system. It has built-in high availability, the RAC application cluster, as well as Data Guard, a capability of addressing disaster recovery capability.  This also provides the ability for you to scale your compute, as well as your storage and your I/O resources independently. So as mentioned with Exadata, you have flexibility of how you want your database to be running individually. So just like the Autonomous, the Exadata Database checks off many of the boxes for running a mission-critical with high availability, highly redundant hardware and software features, along with extreme performance, scalability, and reliability.  This now allows you to run your AI environment, your online transaction processing, your analytic workload on any scale on the Exadata Infrastructure running in the Oracle Cloud. And in this case, running in your data center.  19:45 Nikita: If a business suddenly needs more capacity, how does scaling work with Exadata Database Service versus Autonomous Database on Oracle Database@AWS?   Susan: So with the Exadata scaling, you now can scale to meet expected demands so you know at certain point I will need more. I will then ask it to scale at that point when I will assign it-- and I'm using an example, I will assign it three computer cores all the time. But there may be demands. Think of your end of the quarter, end of the year processing that you may need more. So, you are enabling the compute cores to scale at the time you need it.  And what's cool is it will then, when it's no longer needed, it will then scale back down to the original three cores that you assign. So, you only pay for the enabled cores. But what's very cool about the Autonomous is that it is real-time scaling. So, with Autonomous, now you have the capability using Autonomous Database since it is self-tuning, self-monitoring, the Autonomous Database actually monitors the workload requirement and scales to match the workload demand.  Once the minimum level of the compute is defined and enabled, the automatic scaling is set. Autonomous Database will adjust to the consumption when it's needed, and it will scale back down when it's not. So though the Exadata is pretty cool, it will scale up and down on the workload demand.  This is with the Autonomous is even more powerful. It is real-time scaling based on that usage at that moment. Built-in automatic increase to meet the workload demands when it spikes and it automatically scales back when it's not needed.  A very powerful capability with all of our Oracle databases, the ability, even with traditional, to allow you to define what you may need with Exadata scaling for peak demands, as well as Autonomous scaling for real-time consumption and scaling when needed.  When you look at all of our options, one of the key things to bear in mind is a phrase that we use: performance scale as more servers are added. And what this is really saying is Oracle's automated scaling ability for the database, it basically has the ability to maintain or improve its performance under increased workload by automatically adding computational resources when needed.  This process is also known as horizontal scaling. It involves adding more servers, compute instances, to a cluster to share the processing load. And it has that capability automatically.  22:53 Nikita: There's so much more we can discuss about Oracle Database@AWS, but let's pause here for today! Thank you so much Susan for joining us.  Lois: Yeah, it's been really great to have you, Susan. If you want to dive deeper into the topics we covered today, go to mylearn.oracle.com and search for the Oracle Database@AWS Architect Professional course. Until next time, this is Lois Houston…  Nikita: And Nikita Abraham, signing off!  23:23 That's all for this episode of the Oracle University Podcast. If you enjoyed listening, please click Subscribe to get all the latest episodes. We'd also love it if you would take a moment to rate and review us on your podcast app. See you again on the next episode of the Oracle University Podcast.

Join Dan Vega and DaShaun Carter for an exploration of the modern Java landscape with James Ward, Principal Developer Advocate at AWS. In this episode, we bridge the gap between Spring Boot and the AWS cloud, diving into how developers can leverage Amazon Bedrock and Spring AI to build production-ready applications. James will share his "no-nonsense" take on building agentic systems, including a look at the Model Context Protocol (MCP) and how it allows Spring developers to connect AI agents to their internal data and services securely.  You can participate in our live stream to ask questions or catch the replay on your preferred podcast platform.Show Notes: DevNexushttps://jamesward.com James Ward on LinkedIn

In today's Cloud Wars Minute, I explain why agent sprawl may become one of the biggest hidden risks of the AI Era.Highlights00:03 — The massive increase in the adoption of agentic AI technology will have significant consequences for businesses. There'll be increased productivity, the ability to reskill employees who have more time to focus on other areas of the business, and opportunities to explore new business ideas and avenues.00:32 — And something else — a surge in the number of AI agents, millions, millions, and millions of them. All of these agents lead to a phenomenon called agent sprawl. So if data sprawl is diesel-driven, think of agent sprawl as running on jet fuel. Without proper governance and visibility, this can lead to shadow AI, which, in the wrong hands, could effectively bring down a business.01:04 — To avoid this, Salesforce has added automated discovery for AI agents and tools to MuleSoft Agent Fabric. Andrew Comstock, SVP and GM of MuleSoft at Salesforce, said "The expanded capabilities give you the freedom to innovate across any platform while maintaining the unified visibility and control needed to scale."01:32 — At the core of these enhancements are agent scanners, which automatically detect and catalog AI agents across Salesforce Agentforce, Amazon Bedrock, Google Cloud's Vertex AI, and other authorized AI platforms. Additionally, for MCP services and other bespoke agents, MuleSoft Agent Fabric facilitates easy integration across a company's entire agent ecosystem.02:01 — The recent updates replace manual oversight with automation, enhance security by providing instant visibility into multi-cloud agents, highlight internal tools that may otherwise be overlooked, and offer a unified agent map to identify areas for optimizing AI investments. Visit Cloud Wars for more.

In this episode, Simon speaks with Joe Magerramov (VP & Distinguished Engineer) to explore the transformative impact of AI-assisted coding on software development workflows. Joe shares his team's real-world experience achieving a 10x increase in code throughput using agentic development, but warns that simply bolting AI agents onto existing practices is like "adding a turbocharger to a car with narrow tires and old brakes." We dive deep into the critical infrastructure changes needed to sustain high-velocity development, including the mathematics of bug probability at scale, innovative testing approaches inspired by aviation industry practices, and the evolution of CI/CD pipelines that can handle dozens of commits per hour rather than per day. The conversation reveals why the biggest opportunity isn't just writing more code faster, but using AI to make previously impractical engineering practices economically viable—from comprehensive end-to-end testing with fake dependencies to rapid feedback loops that prevent the entire development pipeline from grinding to a halt when issues arise. https://blog.joemag.dev/2025/10/the-new-calculus-of-ai-based-coding.html

AWS Morning Brief for the week of January 20th, with Corey Quinn. Links:Unanchored ACCOUNT_ID webhook filters for CodeBuildAmazon EBS now supports up to four Elastic Volumes modifications in 24 hoursAWS Databases are now available on v0 by VercelAWS Lambda announces cross-account access for DynamoDB StreamsEnhanced Transactions view now available in AWS Billing ConsoleAWS Data Exports adds granular operation visibility for Amazon Bedrock model usageAmazon EC2 X8i instances powered by custom Intel Xeon 6 processors are generally availableOpening the AWS European Sovereign CloudAWS Organizations now supports upgrade rollout policy for Aurora and RDSProvision Oracle Database@AWS stack using AWS CloudFormationCLI v1 Maintenance Mode AnnouncementCVE-2026-0830: Command Injection in Kiro GitLab Merge Request Helper

Executives from March Networks explain how Amazon Bedrock transformed petabytes of surveillance video into economically viable solutions that unlock untapped business value.Topics Include:March Networks CEO and CPO discuss video surveillance for enterprise banks and retailers globallyCompany serves 10,000 customers with 250,000 installations worldwide since 2003 from Ottawa headquartersBanking customer operates across 25 countries centralizing video operations on one standardized platformSingle enterprise customer manages 65 petabytes of distributed data across March Networks recordersAWS partnership enables five-to-ten-year cloud transition starting with economical DeepGlacier storage solutionsAmazon Bedrock powers AI Smart Search analyzing snapshots for searchable business intelligence insightsEnterprise video data remains largely untapped for retail traffic patterns and operational efficiencyOne retailer processes three million daily POS transactions across 6,000 locations synchronized with video2025 brought AI Smart Search launch enabling natural language queries across entire operationsCloud storage became economically viable using Glacier after traditional quotes reached millions annuallyFraudsters exploit 90-180 day retention windows by waiting six months to file lawsuits2026 vision emphasizes consultative selling for efficiency gains supported by strong AWS partnershipParticipants:Peter Strom – President & Chief Executive Officer, March NetworksJeff Corrall – Chief Product Officer, March NetworksSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

What does responsible AI really look like when it moves beyond policy papers and starts shaping who gets to build, create, and lead in the next phase of the digital economy? In this conversation recorded during AWS re:Invent, I'm joined by Diya Wynn, Principal for Responsible AI and Global AI Public Policy at Amazon Web Services. With more than 25 years of experience spanning the internet, e-commerce, mobile, cloud, and artificial intelligence, Diya brings a grounded and deeply human perspective to a topic that is often reduced to technical debates or regulatory headlines. Our discussion centers on trust as the real foundation for AI adoption. Diya explains why responsible AI is not about slowing innovation, but about making sure innovation reaches more people in meaningful ways. We talk about how standards and legislation can shape better outcomes when they are informed by real-world capabilities, and why education and skills development will matter just as much as model performance in the years ahead. We also explore how generative AI is changing access for underrepresented founders and creators. Drawing on examples from AWS programs, including work with accelerators, community organizations, and educational partners, Diya shares how tools like Amazon Bedrock and Amazon Q are lowering technical barriers so ideas can move faster from concept to execution. The conversation touches on why access without trust falls short, and why transparency, fairness, and diverse perspectives have to be part of how AI systems are designed and deployed. There's an honest look at the tension many leaders feel right now. AI promises efficiency and scale, but it also raises valid concerns around bias, accountability, and long-term impact. Diya doesn't shy away from those concerns. Instead, she explains how responsible AI practices inside AWS aim to address them through testing, documentation, and people-centered design, while still giving organizations the confidence to move forward. This episode is as much about the future of work and opportunity as it is about technology. It asks who gets to participate, who gets to benefit, and how today's decisions will shape tomorrow's innovation economy. As generative AI becomes part of everyday business life, how do we make sure responsibility, access, and trust grow alongside it, and what role do we each play in shaping that future? Useful Links Connect With Diya Wynn AWS Responsible AI Tech Talks Daily is sponsored by Denodo

Dans un show massif à Las Vegas, AWS affiche sa puissance : innovations IA full stack, nouveaux modèles Nova, partenariat renforcé avec Nvidia et ambition d'imposer une plateforme mondiale d'agents intelligents.Une démonstration de force au cœur de Las VegasAWS réunit 60 000 participants dans une effervescence qui rappelle l'écosystème mondial du cloud. L'événement met en scène la place centrale d'AWS dans l'infrastructure d'internet, au service de milliers d'entreprises, de la finance au streaming. L'organisation détaille sa vision à travers son grand rassemblement annuel, présenté sur scène par son CEO Matt Garman.L'enjeu principal est clair : Amazon veut montrer qu'il reste l'un des piliers du web moderne. Ce contexte donne le ton des annonces, pensées pour renforcer la maîtrise technologique d'un bout à l'autre de la chaîne. L'infrastructure, jusqu'ici invisible pour le grand public, devient l'argument clé d'une domination assumée.L'ambition du “full stack” et la course à la puissanceSur scène, Matt Garman insiste sur une vision : tout contrôler, des puces aux logiciels. Avec la puce Tranium 3 et l'annonce de Tranium 4, AWS s'affirme dans la bataille mondiale du calcul haute performance.Cette stratégie s'appuie à la fois sur ses propres puces et sur un partenariat renforcé avec Nvidia, permettant d'alimenter les serveurs les plus puissants du marché. L'objectif affiché : fournir l'assise matérielle des futurs agents IA et répondre à une demande exponentielle de puissance. Le cloud évolue ainsi vers un modèle toujours plus intégré.Nova et Bedrock : la bataille des modèles d'IAAWS renforce sa plateforme Amazon Bedrock et accueille de nouveaux modèles, dont ceux de Mistral AI. Mais la véritable rupture vient des modèles maison Amazon Nova, conçus pour les usages business plutôt que grand public.Avec Nova Sonic, dédié aux conversations naturelles et déjà utilisé dans Amazon Connect, AWS mise sur une IA plus fluide et expressive. NovaForge, nouvel outil de création de modèles personnalisés, permet aux entreprises d'entraîner leurs propres IA sur leurs données, ouvrant un accès simplifié aux modèles sur mesure. L'ensemble dessine une stratégie cohérente : devenir incontournable dans la production et l'exploitation de modèles professionnels.L'ère des agents intelligentsAWS annonce un futur où des milliards d'agents autonomes composeront l'environnement numérique. Ces programmes travailleront en continu, coopéreront et automatiseront une part importante des tâches.Cette vision place AWS au centre d'un basculement comparable à celui du web ou du smartphone. Mais elle pose aussi la question de la souveraineté numérique, notamment depuis l'Europe. La route paraît serrée face à de tels mastodontes américains, même si l'innovation reste porteuse d'opportunités pour startups et entreprises locales.➡️ À lire aussi : l'article complet sur les innovations annoncées par AWShttps://mondenumerique.info/blog/aws-dvoile-sa-nouvelle-gnration-dia-vers-des-milliards-dagents-et-de-nouveaux-modles-nova-surdous-----------♥️ Soutien : https://mondenumerique.info/don

A Black Friday se tornou o maior teste de estresse para qualquer operação digital e, cada vez mais, a diferença entre perder clientes e aproveitar o pico está na capacidade de escalar, analisar dados em tempo real e oferecer um atendimento realmente humano. No novo episódio do Podcast Canaltech, produzido em parceria com a AWS, conversamos com Alexandre Nardi, Solutions Architect Manager da empresa, sobre como IA generativa, computação em nuvem e análise de dados estão redefinindo o varejo e orientando decisões mais rápidas e eficientes. Ao longo da entrevista, Nardi explica como a AWS ajuda negócios a: Delegar o “trabalho pesado” para a nuvem Escalar ambientes sem risco de queda em picos como a Black Friday Personalizar o atendimento com agentes de IA que usam o tom de voz da marca Transformar dados de estoque, vendas e comportamento do cliente em ações práticas Reduzir custos e aumentar margem usando IA de forma estratégica Utilizar soluções como Amazon Bedrock e Amazon Q Developer no dia a dia O episódio também traz o case da IEL GO, que usou o Amazon Bedrock para acelerar entrevistas e melhorar processos de avaliação de candidatos com apoio de IA generativa, mantendo o especialista humano no centro da decisão. Clique aqui e acesse um E-book com as melhores práticas para a Black Friday e fale diretamente com um especialista da AWS para aplicar essas estratégias no seu negócio. Você também vai conferir: Nova picape elétrica da Ford quer peitar a BYD, Intel revela primeiros detalhes do Wi-Fi 8, companhias aéreas proíbem uso de power banks a bordo, Crianças viram alvo de apps-espiões e Photoshop chega ao Chrome com extensão oficial. Este podcast foi roteirizado por Fernada Santos e apresentado por Fernanda Santos e Adriano Ponte e contou com reportagens de Danielle Cassita, Raphael Giannotti,Jaqueline Sousa e Viviane França, sob coordenação de Anaísa Catucci. A trilha sonora é de Guilherme Zomer, a edição de Jully Cruz e a arte da capa é de Erick Teixeira.See omnystudio.com/listener for privacy information.

AWS Morning Brief for the week of November 17th, with Corey Quinn.Links:Custom domain names for VPC Lattice resourcesAWS Lambda networking over IPv6AWS Control Tower supports automatic enrollment of accountsAmazon Braket Notebook Environments Now Support CUDA-Q NativelyAmazon MSK Express brokers now support Intelligent Rebalancing for 180 times faster operation performanceAmazon Keyspaces now supports logged batches for atomic, multi-statement operationsAmazon CloudWatch Composite Alarms adds threshold-based alertingAmazon Keyspaces (for Apache Cassandra) now supports Logged BatchesAmazon Elastic Kubernetes Service gets independent affirmation of its zero operator access designAWS Fault Injection Service (FIS) launches new test scenarios for partial failuresAWS CloudFormation Hooks adds granular invocation details for Hooks invocation summaryIntroducing structured output for Custom Model Import in Amazon Bedrock

** AWS re:Invent 2025 Dec 1-5, Las Vegas - Register Here! **Trellix's Director of Strategy Zak Krider reveals how they automated tedious security tasks like event parsing and threat detection using Amazon Bedrock's multi-model approach, achieving 100% accuracy while eliminating bottlenecks in their development lifecycle.Topics Include:Trellix merged FireEye and McAfee Enterprise, combining two decades of cybersecurity AI expertiseProcessing thousands of daily security events revealed traditional ML's weakness: overwhelming false positivesTwo years ago, they integrated generative AI to automate threat investigation workflowsAmazon Bedrock's multi-model access enabled rapid testing and "fail fast, learn fast" methodologyBuilt custom cybersecurity testing framework since public benchmarks don't reflect domain-specific needsAgentic AI now autonomously investigates threats across dark web, CVEs, and telemetry dataAWS NOVA builds investigation plans while Claude executes detailed threat research analysisLaunched "Sidekick" internal tool with agents mimicking human developer onboarding processesChose prompt engineering over fine-tuning for flexibility, cost-effectiveness, and faster iterationAutomated security rule generation across multiple languages that typically require unicorn developersAchieved 100% accuracy in automated event parsing, eliminating tedious manual SOC workKey lesson: don't default to one model; test and mix for optimal resultsParticipants:Zak Krider - Director of Strategy & AI, TrellixSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

Simon and Jillian walk you through all the new and interesting updates.

Archer's Global Head of Engineering reveals how they're using Amazon Bedrock to help enterprises avoid billions in regulatory fines by transforming complex compliance laws into actionable AI-powered workflows.Topics Include:James Griffith, VP Engineering at Archer, leads development for risk and compliance solutionsArcher helps enterprises navigate the complex world of regulatory compliance beyond outdated spreadsheetsSince 2009, banks alone have been fined $342 billion by regulators worldwideEven "deregulated" Texas added 1,100 new laws in just one legislative sessionRegulatory data exists online but is overwhelming—too much for humans to processArcher built an AI pipeline: ingesting regulations, extracting obligations, and generating compliance controlsAmazon Bedrock eliminated the need to build ML infrastructure or hire specialized teamsModel interchangeability let them switch between Claude and Llama with just clicksBuilt-in guardrails prevented users from misusing AI without custom security developmentFrom initial vision to working product took just six months using BedrockDifferent AI models deploy globally, adapting to each country's unique regulatory stanceEngineers experiment safely with AI using Bedrock, preparing the team for the futureParticipants:James Griffith – Global Head of Engineering, ArcherSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

Learn how Coveo automated LLM migration like a "mind transplant," building frameworks to optimize prompts and maintain quality across model changes.Topics Include:AWS and Coveo discuss their Gen-AI innovation using Amazon Bedrock and Nova.Coveo faced multi-cloud complexity, data residency requirements, and rising AI costs.Coveo indexes enterprise content across hundreds of sources while maintaining security permissions.The platform powers search, generative answers, and AI agents across commerce and support.CRGA is Coveo's fully managed RAG solution deployed in days, not months.Customers see 20-30% case reduction; SAP Concur saves €8 million annually.Original architecture used GPT on Azure; migration targeted Nova Lite on Bedrock.Infrastructure setup involved guardrails and load testing for 70 billion monthly tokens.Migrating LLMs is like a "mind transplant"—prompts must be completely re-optimized.Coveo built automated evaluation framework testing 20+ behaviors with each system change.Nova Lite improved answer accuracy, reduced hallucinations, and matched GPT-4o Mini performance.Migration simplified governance, enabled regional compliance, reduced latency, and lowered costs.Participants:Sebastien Paquet – Vice President, AI Strategy, CoveoYanick Houngbedji – Solutions Architect Canada ISV, Amazon Web ServicesSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

AWS Morning Brief for the week of September 22nd, 2025, with Corey Quinn. Links:Qwen models are now available in Amazon BedrockAWS Budgets now supports custom time periodsAmazon CloudWatch launches Cross-Account and Cross-Region Log CentralizationAmazon S3 now supports conditional deletes in S3 general purpose bucketsNew fault action in AWS FIS to inject I/O latency on Amazon EBS volumesAWS has once again announced a change (in this case, changing the email address from which invoices show up), only to walk it back prior to implementation.Use Raspberry Pi 5 as Amazon EKS Hybrid Nodes for edge workloadsMalware Protection for S3 Expands File Size and Archive Scanning LimitsAWS named as a Leader in 2025 Gartner Magic Quadrant for Cloud-Native Application Platforms and Container ManagementMigrate from Anthropic's Claude 3.5 Sonnet to Claude 4 Sonnet on Amazon Bedrock

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

Learn how Amazon Bedrock enabled Prophix to build enterprise-grade AI agents that transform secure CFO workflows, while delivering real-time financial intelligence through advanced agentic architecture. Topics Include:AWS and Prophix leaders discuss building autonomous AI agents for financial managementAI agents defined: autonomous systems that reason, plan, and execute tasks independentlyEvolution from simple chatbots to collaborative multi-agent systems solving complex problemsCore agent components: cognitive planning module, memory systems, and external tool integrationsProphix: 30-year financial software company serving 3,500 CFO offices globally across industriesProphix One Intelligence: platform-level AI service powering predictions, analysis, and automationCustomer concerns addressed: data privacy, role-based security, accuracy, and cost controlRejected "models in the sky" approach for AWS Bedrock's managed, controllable infrastructureAgentic architecture: LLMs generate API parameters instead of processing massive datasetsReal-time data access, automatic security inheritance, and A/B testing capabilities achievedLive demo: automated budgeting workflows, natural language queries, and autonomous task executionAWS introduces AgentCore platform to simplify agent development for enterprise customersParticipants:Anurag Yagnik – Chief Technology Officer, ProphixDeborshi Choudhury – Sr Solutions Architect – ISV, Amazon Web ServicesFurther Links:Prophix: Website | LinkedIn See how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

Simon takes you through a big list of cool new things - something for everyone.

AWS Morning Brief for the week of September 2nd, 2025, with Corey Quinn. Links:How Ancestry optimizes a 100-billion-row Iceberg tableMastering Amazon Q Developer with Rules Bob's Used Books: Build a .NET Serverless Application on AWS – Part 2: ArchitectureHow Amazon Finance built an AI assistant using Amazon Bedrock and Amazon Kendra to support analysts for data discovery and business insights Building Your Open Source Commercial Strategy with AWSHow to optimize Amazon RDS and Amazon Aurora database costs/performance with AWS Compute OptimizerGracefully handle failed AWS Lambda events from Amazon DynamoDB StreamsAnnouncing the AWS Billing and Cost Management MCP serverAWS joins the DocumentDB project to build interoperable, open source document database technologyCount Tokens API supported for Anthropic's Claude models now in Amazon Bedrock

Confused by AI jargon and unsure which tools actually move the needle for your business? We break down the real differences between traditional algorithms, large language models (LLMs), and agents — including agentic AI — and give practical guidance leaders can use now.Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Thoughts on this? Join the convo.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:Choosing AI: Algorithms vs. AgentsUnderstanding AI Models and AgentsUsing Conditional Statements in AIImportance of Data in AI TrainingRisk Factors in Agentic AI ProjectsInnovation through AI ExperimentationEvaluating AI for Business SolutionsTimestamps:00:00 AWS AI Leader Departs Amid Talent War03:43 Meta Wins Copyright Lawsuit07:47 Choosing AI: Short or Long Term?12:58 Agentic AI: Dynamic Decision Models16:12 "Demanding Data-Driven Precision in Business"20:08 "Agentic AI: Adoption and Risks"22:05 Startup Challenges Amidst Tech Giants24:36 Balancing Innovation and Routine27:25 AGI: Future of Work and SurvivalKeywords:AI algorithms, Large Language Models, LLMs, Agents, Agentic AI, Multi agentic AI, Amazon Web Services, AWS, Vazhi Philemon, Gen AI efforts, Amazon Bedrock, talent wars in tech, OpenAI, Google, Meta, Copyright lawsuit, AI training, Sarah Silverman, Llama, Fair use in AI, Anthropic, AI deep research model, API, Webhooks, MCP, Code interpreter, Keymaker, Data labeling, Training datasets, Computer vision models, Block out time to experiment, Decision-making, If else conditional statements, Data-driven approach, AGI, Teleporting, Innovation in AI, Experiment with AI, Business leaders, Performance improvements, Sustainable business models, Corporate blade.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Ready for ROI on GenAI? Go to youreverydayai.com/partner

Episode Summary:AWS Morning Brief for the week of August 11th, 2025, with Corey Quinn.Links: AWS Cloud Visibility Best PracticesThis Ars articleAWS European Sovereign Cloud to be operated by EU citizensAmazon killing a user's accountMountpoint for Amazon S3 CSI driver v2: Accelerated performance and improved resource usage for Kubernetes workloadsStreamlining outbound emails with Amazon SES Mail ManagerAWS Lambda now supports GitHub Actions to simplify function deploymentAnthropic's Claude Opus 4.1 now in Amazon BedrockAmazon CloudWatch introduces organization-wide VPC flow logs enablementUnderstanding and Remediating Cold Starts: An AWS Lambda PerspectiveAmazon SQS increases maximum message payload size to 1 MiBOpenAI open weight models now available on AWS Best practices for analyzing AWS Config recording frequenciesAmazon EKS adds safety control to prevent accidental cluster deletionAWS Console Mobile App now offers access to AWS SupportAmazon EC2 now supports force terminate for EC2 instances Amazon DynamoDB adds support for Console-to-CodeUsing generative AI for building AWS networksSimplify network connectivity using Tailscale with Amazon EKS Hybrid NodesCost tracking multi-tenant model inference on Amazon Bedrock

Simon and Jillian take you on a fast paced update of all things new on AWS!

Everyone wants the latest and greatest AI buzzword. But at what cost? And what the heck is the difference between algos, LLMs, and agents anyway? Tune in to find out.Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Thoughts on this? Join the convo.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:Choosing AI: Algorithms vs. AgentsUnderstanding AI Models and AgentsUsing Conditional Statements in AIImportance of Data in AI TrainingRisk Factors in Agentic AI ProjectsInnovation through AI ExperimentationEvaluating AI for Business SolutionsTimestamps:00:00 AWS AI Leader Departs Amid Talent War03:43 Meta Wins Copyright Lawsuit07:47 Choosing AI: Short or Long Term?12:58 Agentic AI: Dynamic Decision Models16:12 "Demanding Data-Driven Precision in Business"20:08 "Agentic AI: Adoption and Risks"22:05 Startup Challenges Amidst Tech Giants24:36 Balancing Innovation and Routine27:25 AGI: Future of Work and SurvivalKeywords:AI algorithms, Large Language Models, LLMs, Agents, Agentic AI, Multi agentic AI, Amazon Web Services, AWS, Vazhi Philemon, Gen AI efforts, Amazon Bedrock, talent wars in tech, OpenAI, Google, Meta, Copyright lawsuit, AI training, Sarah Silverman, Llama, Fair use in AI, Anthropic, AI deep research model, API, Webhooks, MCP, Code interpreter, Keymaker, Data labeling, Training datasets, Computer vision models, Block out time to experiment, Decision-making, If else conditional statements, Data-driven approach, AGI, Teleporting, Innovation in AI, Experiment with AI, Business leaders, Performance improvements, Sustainable business models, Corporate blade.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Try Gemini 2.5 Flash! Sign up at AIStudio.google.com to get started. Try Gemini 2.5 Flash! Sign up at AIStudio.google.com to get started.