Podcasts about Amazon Web Services

Kris Orlowski of Amazon Web Services talks about their recent survey and what it reveals about data, trust, decision-making and AI readiness in supply chain.   IN THIS EPISODE WE DISCUSS:   [04.12] An introduction to Kris, his background, and his role at Amazon Web Services. "A good part of my role right now, as we're continuing to innovate, is understanding what supply chain practitioners actually want and need." [05.17] An overview of AWS – who they are, what they do, and how they help their customers. [06.20] An overview of Amazon Web Services' recent industry survey, who they spoke to, and what they were trying to understand. "We were really trying to understand the gap between aspiration and reality – because there's a lot of hype!" [08.12] The challenges businesses are currently facing when it comes to data and decision-making. "85% of supply chain teams take two or more weeks to resolve urgent issues… And it's partly because of the 'data gathering tax.'" [14.14] From engaging in less strategic work to the creation of a risk aversion culture, the business impact of slow and inaccurate decision-making. "When you spend your time firefighting, you're not doing strategic work." "The cost of a delayed decision can exceed the cost of an imperfect one." [17.20] The surprising results revealed by the AWS survey around how supply chain practitioners envision AI as part of their operations, and what the three-step 'execute, adapt, advise' approach could mean for businesses. "Organizations are envisioning AI as an operational partner, not just a tool… An assistant that can work alongside them." [21.21] The 'double barrier phenomenon' organizations see when trying to implement AI, and what those barriers to both adoption and utilization look like. "57% said the top barrier to realizing AI's full potential was a limited understanding of its capabilities, followed by a lack of trust in AI recommendations." "Organizations are buying AI technology, but they're not building AI readiness." [27.17] What businesses are looking for to help them build trust in new technology and AI-powered decision-making. [31.00] How vendors and developers should be thinking about partnership, trust and building the type of AI that businesses are actually looking for. "There's a trust paradox. Organizations want AI that is simultaneously autonomous, but controllable; intelligent, but explainable; proactive, but compliant. The vendors that understand this will build AI that organizations actually use, not just purchase." [35.02] The big opportunities for organizations that are able to make real strides in their decision-making, and how listeners can access the report. [37.36] The survey results that surprised Kris most, and what they might mean for businesses and AI adoption. [41.15] The practical next steps businesses can take to ensure their AI journeys are a success in 2026.   RESOURCES AND LINKS MENTIONED:   Head over to Amazon Web Service's website now to find out more and discover how they could help you too. You can also connect with AWS and keep up to date with the latest over on LinkedIn, Facebook, YouTube, Instagram or X (Twitter), or you can connect with Kris on LinkedIn. If you enjoyed this episode and want to hear more from AWS, check out 489: Time To Swap Your Axe For A Chainsaw: The Power of Agentic AI. Check out our other podcasts HERE.

On this episode Justin records live at HLTH25 in Las Vegas.This week on the final HLTH25 episode, Justin talks to Rowland Illing, MD, Global Chief Medical Officer and Director at Healthcare and Life Sciences at Amazon Web Services (AWS), and Jonathan Bush, Founder & Chief Executive Officer at Zus Health.

Rubrik's GM of AI Dev Rishi, explains how 85% of enterprises are building agentic AI but lack frameworks to govern agents with production system access - and how Rubrik solves this gap!Topics Include:Dev Rishi explains Rubrik's evolution from data backup to cyber resilience company.Rubrik shifted focus after 2018 when ransomware became the primary business continuity threat.Recent investments center on AI features and security for enterprise data infrastructure.Rubrik's foundation understands organizational data, metadata, and identity access across all systems.Predabase acquisition brought generative AI and LLM platform capabilities into Rubrik's infrastructure.Rubrik Agent Cloud launched to address enterprise AI security and governance needs.180 enterprise conversations revealed AI risk frameworks block ROI, not technology challenges.Agents enable 10x productivity but create 10x damage potential in shorter timeframes.Most organizations struggle enforcing AI policies across AWS Bedrock, OpenAI, and third-party platforms.Agent Undo feature recovers from destructive AI actions using healthy backup snapshots.Three pillars for AI security: define policies, enforce across platforms, enable recovery.2026 will see enterprises shift from pilot agents to managing dozens in production.Participants:Dev Rishi – General Manager of AI, RubrikConnect with Rubrik and learn more here: https://www.rubrik.com/lp/events-hubSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

In this fireside chat with AWS CEO Matt Garman and AWS VP of Global Services, Uwem Ukpong, hear about the latest developments at AWS and why they matter to your business. Featured at the AWS Executive Summit at re:Invent, this discussion addresses everything from navigating data sovereignty with the European Sovereign Cloud, to building custom AI models with Nova Forge and Trainium chips, to transforming software development with frontier agents. Learn how AWS is helping enterprises unlock AI's full potential while maintaining control of their data and reimagining how teams work.

Most companies say they want to be more innovative, agile, and customer-centric. But in reality, many still operate like 20th-century factories: hierarchical, risk-averse, and slow. Jana Werner, executive in residence of enterprise strategy at Amazon Web Services, argues that organizations should instead think of an octopus: an organism that manages complexity, can work in many different modes with some autonomy, but all moving in concert toward a common goal. Werner says the future belongs to companies that distribute decision-making, empower teams at the edge, and treat innovation as everyone's job, and explains steps you can take as a leader to make this cultural shift. She's the coauthor along with Phil Le-Brun of the HBR article "Become an Octopus Organization" and the book, The Octopus Organization: A Guide to Thriving in a World of Continuous Transformation.

This week, hosts Lois Houston and Nikita Abraham are shining a light on multicloud, a game-changing strategy involving the use of multiple cloud service providers. Joined by Senior Manager of CSS OU Cloud Delivery Samvit Mishra, they discuss why multicloud is becoming essential for businesses, offering freedom from vendor lock-in and the ability to cherry-pick the best services. They also talk about Oracle's pioneering role in multicloud and its partnerships with Microsoft Azure, Google Cloud, and Amazon Web Services.   Oracle Cloud Infrastructure Multicloud Architect Professional: https://mylearn.oracle.com/ou/course/oracle-cloud-infrastructure-multicloud-architect-professional-2025-/144474 Oracle University Learning Community: https://education.oracle.com/ou-community LinkedIn: https://www.linkedin.com/showcase/oracle-university/ X: https://x.com/Oracle_Edu   Special thanks to Arijit Ghosh, David Wright, Kris-Ann Nansen, and the OU Studio Team for helping us create this episode.   ------------------------------------------------------   Episode Transcript: 00:00 Welcome to the Oracle University Podcast, the first stop on your cloud journey. During this series of informative podcasts, we'll bring you foundational training on the most popular Oracle technologies. Let's get started! 00:25 Lois: 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! You're listening to our Best of 2025 series, where over the next few weeks, we're revisiting four of our most popular episodes of the year.      Lois: Today is #2 of 4, and we're throwing it back to an episode with Senior Manager of CSS OU Cloud Delivery Samvit Mishra. This episode was all about shining a light on multicloud, a game-changing strategy involving the use of multiple cloud service providers.     01:07 Nikita: That's right, Lois. Oracle has been an early adopter of multicloud and a pioneer in multicloud services. So, we began that conversation by asking Samvit to explain what multicloud is and why someone would need more than one cloud provider.  Samvit: Multicloud is a very simple, basic concept. It is the coordinated use of cloud services from more than one cloud service provider.  01:30 Nikita: But why would someone want to use more than one cloud service provider? Samvit: There are many reasons why a customer might want to leverage two or more cloud service providers. First, it addresses the very real concern of mitigating or avoiding vendor lock-in. By using multiple providers, companies can avoid being tied down to one vendor and maintain their flexibility. 01:53 Lois: That's like not putting all your eggs in one basket, so to speak. Samvit: Exactly. Another reason is that customers want the best of breed. What that means is basically leveraging or utilizing the best product from one cloud service provider and pairing it against the best product from another cloud service provider. Getting a solution out of the combined products…out of the coordinated use of those services.  02:22 Nikita: So, it sounds like multicloud is becoming the new normal. And as we were saying before, Oracle was a pioneer in this space. But why did we embrace multicloud so wholeheartedly? Samvit: We recognized that our customers were already moving in this direction. Independent studies from Flexera found that 89% of the subjects of the study used multicloud. And we conducted our own study and came to similar numbers. Over 90% of our customers use two or more cloud service providers.  HashiCorp, the big infrastructure as code company, came to similar numbers as well, 94%. They basically asked companies if multicloud helped them advance their business goals. And 94% said yes. And all this is very recent data.  03:13 Lois: Can you give us the backstory of Oracle's entry into the multicloud space? Samvit: Sure. So back in 2019, Oracle and Microsoft Azure joined forces and announced the interconnect service between Oracle Cloud Infrastructure and Microsoft Azure. The interconnect was between Oracle's FastConnect and Microsoft Azure's ExpressRoute. This was a big step, as it allowed for a direct connection between the two providers without needing a third-party. And now we have several of our data centers interconnected already. So, out of the 48 regions, 12 of them are already interconnected. And more are coming. And you can very easily configure the interconnect.  This interconnectivity guarantees low latency, high throughput, and predictable performance. And also, on the OCI side, there are no egress or ingress charges for your data.  There's also a product called Oracle Database@Azure, where Oracle and Microsoft deliver Oracle Database services in Microsoft Azure data centers.  04:20 Lois: That's exciting! And what are the benefits of this product? Samvit: The main advantage is the co-location. Being co-located with the Microsoft Azure data center offers you native integration between Azure and OCI resources. No manual configuration of a private interconnect between the two providers is needed. You're going to get microsecond latency between your applications and the Oracle Database.  The OCI-native Exadata Database Service is available on Oracle Database@Azure. This enables you to get the highest level of Oracle Database performance, scalability, security, and availability. And your tech support can be provided either from Microsoft or from Oracle.  05:11 AI is being used in nearly every industry…healthcare, manufacturing, retail, customer service, transportation, agriculture, you name it! And it's only going to get more prevalent and transformational in the future. It's no wonder that AI skills are the most sought-after by employers. If you're ready to dive in to AI, check out the OCI AI Foundations training and certification that's available for free! It's the perfect starting point to build your AI knowledge. So, get going! Head on over to mylearn.oracle.com to find out more.  05:51 Nikita: Welcome back. Samvit, there have been some new multicloud milestones from OCI, right? Can you tell us about them?  Samvit: That's right, Niki. I am thrilled to share the latest news on Oracle's multicloud partnerships. We now have agreements with Microsoft Azure, Google Cloud, and Amazon Web Services.  So, as we were discussing earlier, with Azure, we have the Oracle Interconnect for Azure and Oracle Database@Azure. Now, with Google Cloud, we have the Oracle Interconnect for Google Cloud. And it is very similar to the Oracle Interconnect for Azure. With Google Cloud, we have physically interconnected data centers and they provide a sub-2 millisecond latency private interconnection. So, you can come in and provision virtual circuits going from Oracle FastConnect to Google Cloud Interconnect.  And the best thing is that there are no egress or ingress charges for your data. The way it is structured is you have your Oracle Cloud Infrastructure on one side, with your virtual cloud network, your subnets, and your resources. And on the other side, you have your Google Cloud router with your virtual private cloud subnet and your resources interconnecting.  You initiate the connectivity on the Google Cloud side, retrieve the service key and provide that service key to Oracle Cloud Infrastructure, and complete the interconnection on the OCI side. So, for example, our US East Ashburn interconnect will match with us-east4 on the Google Cloud side.  07:29 Lois: Now, wasn't the other major announcement Oracle Database@Google Cloud? Tell us more about that, please. Samvit: With Oracle Database@Google Cloud, you can run your applications on Google Cloud and the database inside the Google Cloud platform. That's the Oracle Cloud Infrastructure database co-located in Google Cloud platform data centers. It allows you to run native integration between GCP and OCI resources with no manual configuration of private interconnect between these two cloud service providers.  That means no FastConnect, no Interconnect because, again, the database is located in the Google Cloud data center. And you're going to get microsecond latency and the OCI native Exadata Database Service. So, you're going to gain the highest level of Oracle Database performance, scalability, security, and availability.  08:25 Lois: And how is the tech support managed? Samvit: The technical support is a collaboration between Google Cloud and Oracle Cloud Infrastructure. That means you can either have the technical support provided to completion by Google Cloud or by Oracle. One of us will provide you with an end-to-end solution.  08:43 Nikita: During CloudWorld last year, we also announced Oracle Database@AWS, right?  Samvit: Yes, Niki. That's where Oracle and Amazon Web Services deliver the Oracle Database service on Oracle Cloud Infrastructure in your AWS data center. This will provide you with native integration between AWS and OCI resources, with no manual configuration of private interconnect between AWS and OCI. And you're getting microsecond latency with the OCI-native Exadata Database Service.  And again, as with Oracle Database@Google Cloud and Oracle Database@Azure, you're gaining the highest level of Oracle Database performance, scalability, security, and availability. And the technical support is provided by either AWS or Oracle all the way to completion. Now, Oracle Database@AWS is currently available in limited preview, with broader availability in the coming months as it expands to new regions to meet the needs of our customers.  09:49 Lois: That's great. Now, how does Oracle fare when it comes to pricing, especially compared to our major cloud competitors?  Samvit: Our pricing is pretty consistent. You'll see that in all cases across the world, we have the less expensive solution for you and the highest performance as well.  10:06 Nikita: Let's move on to some use cases, Samvit. How might a company use the multicloud setup? Samvit: Let's start with the split-stack architecture between Oracle Cloud Infrastructure and Microsoft Azure.  Like I was saying earlier, this partnership dates back to 2019. And basically, we eliminated the FastConnect partner from the middle. And this will provide you with high throughput, low latency, and very predictable performance, all of this on highly available links. These links are redundant, ensuring business continuity between OCI and Azure.  And you can have your database on the OCI side and your application on Microsoft Azure side or the other way around. You can have SQL Server on Azure and the application running on Oracle Cloud Infrastructure. And this is very easy to configure.  10:55 Lois: It really sounds like Oracle is at the forefront of the multicloud revolution. Thanks so much, Samvit, for shedding light on this exciting topic.  Samvit: It was my pleasure.  Nikita: That's a wrap for today. To learn more about what we discussed, head over to mylearn.oracle.com and search for the Oracle Cloud Infrastructure Multicloud Architect Professional course.  Lois: We hope you enjoyed that conversation. Join us next week for another throwback episode. Until then, this is Lois Houston...   Nikita: And Nikita Abraham, signing off!   11:26 That's all for this episode of the Oracle University Podcast. If you enjoyed listening, please click Subscribe to get all the latest episodes. We'd also love it if you would take a moment to rate and review us on your podcast app. See you again on the next episode of the Oracle University Podcast.

Pour la dernière grande journée de son événement annuel AWS re:Invent, Amazon Web Services a levé le voile sur une annonce stratégique : l'arrivée de Graviton5, son tout nouveau processeur maison. Une puce ARM de cinquième génération, gravée en 3 nanomètres, embarquant… 192 cœurs. Un monstre de calcul, pensé pour bouleverser l'équation performance-prix du cloud.AWS ne s'en cache pas : le pari Graviton est déjà un succès. Plus de la moitié des nouvelles capacités de calcul de la plateforme reposent désormais sur cette architecture, et près de 90 % des 1 000 plus gros clients EC2 utilisent déjà ces processeurs. Avec Graviton5, Amazon ne se contente plus d'optimiser : il change d'échelle. Cette nouvelle génération marque un véritable saut technologique. En concentrant 192 cœurs sur une seule puce, Amazon augmente considérablement la densité de calcul. Résultat : les échanges entre cœurs sont 33 % plus rapides. Le cache L3, cette mémoire ultra-rapide essentielle aux performances, a été multiplié par cinq. Chaque cœur dispose ainsi de 2,6 fois plus d'espace immédiat que sur Graviton4. Concrètement, cela accélère fortement les bases de données, l'analyse de données massives, mais aussi les jeux en ligne ou les services temps réel.Côté réseau, les progrès sont tout aussi notables : +15 % de bande passante en moyenne, jusqu'à un doublement sur les instances les plus puissantes. L'accès au stockage cloud progresse aussi de 20 %. Graviton5 promet au total 30 % de performances supplémentaires et 20 % de latence en moins par rapport à la génération précédente. La gravure en 3 nm, l'une des plus avancées du marché — dominée par TSMC, Samsung et Intel — permet d'augmenter la puissance tout en réduisant la consommation. Un point crucial à l'heure où les data centers pèsent de plus en plus lourd dans la consommation électrique mondiale. AWS va même jusqu'à refroidir directement la puce, sans boîtier intermédiaire.Autre avancée majeure : la sécurité. Avec le Nitro Isolation Engine, AWS ne se contente plus d'affirmer l'isolation des données… il en apporte une preuve mathématique. Une garantie très recherchée par les banques, les hôpitaux et les administrations. Les premiers retours sont enthousiastes. Airbnb gagne 25 % sur ses moteurs de recherche. Atlassian observe 30 % de rapidité en plus sur Jira. SAP annonce même jusqu'à 60 % d'accélération sur ses bases de données. Les premières instances EC2 M9g sont déjà disponibles en test. Les déclinaisons C9g et R9g, dédiées au calcul intensif et à la mémoire, arriveront en 2026. Hébergé par Acast. Visitez acast.com/privacy pour plus d'informations.

Wie verändert KI die Automobilindustrie? Sarah spricht in dieser Folge auf dem smartAI-Kongress mit Dr. Patrick Bartsch von Amazon Web Services (AWS), Experte für Digitalisierung und KI-Transformation mit 20 Jahren Branchenerfahrung.

Matt Yanchyshyn, AWS Marketplace and Partner Services VP, reveals how AI agents are transforming enterprises worldwide while Atlassian and Netskope leaders share strategies for scaling up Agentic AI marketplace deals.Topics Include:Matt Yanchyshyn of AWS opens with massive shift to multi-agent production systemsEnterprise software seeing huge AI adoption: 33% will include AI by year endAutomated agents now handle Matt's daily workflow, prioritizing emails and messages autonomouslyReal business transformation across financial reporting, demand forecasting, and automated incident managementAWS Marketplace team productivity up 31%, deploying software 27% faster with agentsNew agent mode for Marketplace uses autonomous data collection improving customer experiencesSuccess requires proper data governance with fine-grained access controls for safe operationsQ Developer and Qiro CLI integrate seamlessly into developer workflows without disruptionAWS maintains 400+ MCP servers, shared spec farms enabling teams to collaborate effectivelyEmbedded experts and principal engineers spread agent knowledge and measure productivity closelyAndy Horwitz notes security leads Marketplace growth, primarily through private offer expansionNetskope's new DSPM product addresses AI data security, driving strong customer adoption momentumEnterprise customers now ask if vendors are AWS badged, deals 41-58% largerAndy advises ISVs: prepare sales teams thoroughly, focus co-sell, secure executive buy-inBill Hustad emphasizes distinct marketplace strategy, seller training, and ruthless operational tracking for successParticipants:Bill Hustad - Global Head of Channel and GTM Ecosystems, AtlassianAndy Horwitz – SVP, Global Partner Ecosystems, NetskopeMatt Yanchyshyn – VP, AWS Marketplace & Partner Services, 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/

Amazon Web Services (AWS) has made significant advancements in artificial intelligence (AI) at its reInvent event, introducing a new AI training chip, Trainium 3, which reportedly enhances performance for AI training and inference by up to four times while reducing energy consumption by 40%. Additionally, AWS launched new features in its Agent Core platform, allowing developers to set boundaries for AI agents and log user interactions. The introduction of customizable AI models through the new service, NovaForge, aims to make AI model development more accessible for businesses, addressing the high costs associated with creating models from scratch.Microsoft is facing challenges in selling its AI tools, with reports indicating a slowdown in customer adoption. Despite Microsoft's assertion that it has not lowered sales quotas for AI products, the situation highlights a broader issue: customers are struggling to see the value in AI investments due to messy data, inconsistent processes, and unclear governance. This resistance suggests that while demand for AI exists, readiness among customers remains low, presenting an opportunity for IT service providers to facilitate the transition by offering readiness assessments and governance frameworks.Managed Service Providers (MSPs) are increasingly utilizing AI, with a survey indicating that 80% have adopted AI-powered chatbots, which have improved customer support. However, one-third of MSPs report challenges in implementing AI, including high costs and a lack of internal expertise. As client expectations regarding data security rise, MSPs are deploying AI-driven threat detection solutions. The survey results indicate a commitment to leveraging AI for business transformation, but the complexity of integrating AI into existing workflows remains a significant hurdle.The surge in demand for RAM, driven by the AI industry, has led to a 500% increase in memory prices, creating a shortage of consumer-grade memory. This situation mirrors previous GPU shortages and indicates that high-performance computing components are now subject to the purchasing power of major AI companies. MSPs must prepare for ongoing volatility in hardware costs and communicate these changes to clients, adjusting budgets and refresh cycles accordingly. The evolving landscape emphasizes the need for MSPs to adopt a structured approach to AI, ensuring they are not merely adding tools but effectively transforming their service offerings. Four things to know today00:00 AWS Expands Full-Stack AI Strategy From Chips to Private Regions, Raising Governance and Lock-In Stakes for MSPs07:38 Reports of AI Sales Friction at Microsoft Highlight Market Hesitation and Open the Door for MSP Readiness Services09:28 Survey Shows AI Adoption Surging Among MSPs, Yet Cost, Expertise, and Security Pressures Undercut True Transformation11:51 AI-Driven RAM Shortage Forces MSPs to Reforecast Budgets as Prices Spike 500%This is the Business of Tech.    Supported by:  https://mailprotector.com/mspradio/

Raviteja Yelamanchili shares how Scale AI transformed banking cycles from one year to real-time and why your most valuable enterprise data isn't being collected.Topics Include:Scale evolved from data annotations company to enterprise AI solutions providerHealthcare system transformed patient transcriptions into value using reinforcement learning researchBlank slate customer problems allow Scale to experiment with latest methodsMany customers propose solutions before explaining their actual underlying business problemsBiggest AI misconception: technology will replace jobs rather than augment productivityDon't wait for perfect AI—start learning through iteration and evolution nowBanking credit cycle transformed from one-year process to real-time strategic insightsScale deploys flexibly across EC2, EKS, or Bedrock based on customer requirementsEnterprises want business value generation more than academic research papers aloneNext 12-24 months focus: making data consumable and leveraging unused datasetsTribal knowledge from experienced SMEs represents most valuable yet uncollected dataAgent-based learning captures expertise through feedback loops on Scale's SGP platformParticipants:Raviteja Yelamanchili - Head of Solution Engineering, Scale AISee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

Wes Ott covers today's top tech stories. Samsung set to launch new Galaxy Z TriFold device. Amazon Web Services announces its latest AI chip with enhanced computing performance. Apple Music and Amazon roll out musical recap features before Spotify Wrapped.

Wes Ott covers today's top tech stories. Samsung set to launch new Galaxy Z TriFold device. Amazon Web Services announces its latest AI chip with enhanced computing performance. Apple Music and Amazon roll out musical recap features before Spotify Wrapped.

Today on the Federal Drive with Terry Gerton Virginia Tech and Amazon Web Services are teaming up to train the next generation of national security leaders in generative AIAn objective, unemotional investment strategy for your TSP...easy to say but hard to do in uncertain times GenAI adoption is reshaping roles and raising tough questions about workforce strategySee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

A new semester-long program is giving 75 students hands-on experience with advanced AI tools used in defense and cybersecurity. The AWS Generative Artificial Intelligence Training aims to prepare cadets and civilian trainees for careers in national security. Jamie Cogbill, Deputy Director, Defense Civilian Training Corps at Virginia Tech's National Security Institute, is here to fill us in on the details.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

In a keynote address from re:Invent, McKinsey & Company's Lareina Yee shares fascinating data, trends and best practices on AI adoption, the future of skillsets, and leadership insights that are needed for AI transformation at scale.Topics Include:Over 80% of companies have adopted AI in at least one business function currently.Despite heavy investment, 62% of companies remain in experimental or pilot phases with AI.Only 7% of organizations have achieved full-scale AI implementation, up from 2% earlier this year.Agentic AI has proliferated rapidly across functions from knowledge management to manufacturing in one year.Between 45% and 5% of companies have implemented AI agents across different business functions today.AI's productivity potential represents $4.4 trillion in economic value beyond just cost savings opportunities.Innovation ranks as the number one goal for AI investments, ahead of cost reduction priorities.Employee satisfaction, customer satisfaction, and competitive differentiation drive AI adoption alongside revenue growth and cost.High AI performers view implementation as total enterprise transformation, not just technology deployment projects.Leading companies spend 4.9 times more budget on AI investments compared to average performing organizations.Traditional software stacks evolved to SaaS, now transforming into AI-ready tech stacks within one generation.Job outlook remains mixed: 32% expect losses, 13% expect increases, 43% see no major change.Since 2023, significant skill shifts show increased demand for software development and business intelligence capabilities.AI fluency has increased seven times as the most sought-after skill across all job types.AI fluency means using AI in everyday work, not building models or creating large language models.Skills like driving records, coaching, customer service, and management remain harder to automate with current AI.Transactional, data-driven repetitive tasks like inventory management and invoicing face highest automation exposure currently.Historical technology revolutions like electricity created six to eight jobs for every one job displaced.New roles like prompt engineering emerge, requiring skills like effective questioning rather than technical coding.Participants:Lareina Yee - Director of Technology Research, McKinsey & CompanySee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

Women engineers often struggle to set boundaries or say “no” at work. Srividhya Pallay and Tsega Tefera, solutions architects at Amazon Web Services, joined us live in the WE25 Diverse Podcast Studio to share real-world lessons around overcoming imposter syndrome, finding the confidence to speak up in meetings, and unapologetically protecting their time and energy in their STEM careers. In conversation with Laurie Shuster, editor-in-chief of SWE Magazine, hear how to handle disagreements with professionalism and grace, calendar-blocking techniques to maintain balance, and go-to phrases to communicate boundaries effectively. — The Society of Women Engineers is a powerful, global force uniting 50,000 members of all genders spanning 85 countries. We are the world's largest advocate and catalyst for change for women in engineering and technology. To join and access all the exclusive benefits to elevate your professional journey, visit membership.swe.org.

Kubernetes has relied on role-based access control (RBAC) since 2017, but its simplicity limits what developers can express, said Micah Hausler, principal engineer at AWS, on The New Stack Makers. RBAC only allows actions; it can't enforce conditions, denials, or attribute-based rules. Seeking a more expressive authorization model for Kubernetes, Hausler explored Cedar, an authorization engine and policy language created at AWS in 2022 and later open-sourced. Although not designed specifically for Kubernetes, Cedar proved capable of modeling its authorization needs in a concise, readable way. Hausler highlighted Cedar's clarity—nontechnical users can often understand policies at a glance—as well as its schema validation, autocomplete support, and formal verification, which ensures policies are correct and produce only allow or deny outcomes.Now onboarding to the CNCF sandbox, Cedar is used by companies like Cloudflare and MongoDB and offers language-agnostic tooling, including a Go implementation donated by StrongDM. The project is actively seeking contributors, especially to expand bindings for languages like TypeScript, JavaScript, and Python.Learn more from The New Stack about Cedar:Ceph: 20 Years of Cutting-Edge Storage at the Edge The Cedar Programming Language: Authorization SimplifiedJoin our community of newsletter subscribers to stay on top of the news and at the top of your game.  Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Amazon Web Services, which has been building its own AI training chips for years now, just introduced a new version known as Trainium three that comes with some impressive specs. he Indian government is widening the scope of its anti-theft and cybersecurity initiative to cover both new and used smartphones, an effort aimed at curbing device theft and online fraud but a move that is also raising fresh privacy concerns. Learn more about your ad choices. Visit podcastchoices.com/adchoices

AWS Principal Solutions Architect Wallace Printz explains how agents are reshaping SaaS business models, pricing strategies, and technical architectures.Topics Include:Wallace Printz discusses agentic workloads transforming SaaS with largest AWS customersNew interaction models include generative UI, voice agents, and proactive workAgents extending SaaS products to interact with external systems and businessesVirtual teammates enabling cross-department collaboration and upskilling non-expert users effectivelyMonetization strategies evolving as predictable costs become variable with agentsThree patterns: dedicated agents, shared agents, and multi-tenant personalized agentsMulti-tenant agents enable hyper-personalized experiences using individual tenant context enrichmentAgent-centric business strategy requires real assessment beyond AI hype cycleAgent orchestration complexity grows with multiple specialized agents interacting togetherTenant isolation requires JWT tokens and AWS Bedrock Agent Core identityCost-per-tenant management needs LLM throttling, tiering, and unified control planeMulti-tenancy creates sticky personalized experiences; AWS white paper releasing soonParticipants:Wallace Printz - Principal Solution Architect, 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/

Industry leaders from Boomi, Demandbase and Smarsh share hard-won lessons on balancing AI creativity with guardrails, why data quality trumps frameworks, and deploying AI at scale.Topics Include:Three industry leaders share experiences building AI solutions at Boomi, Demandbase, and Smarsh.Smarsh manages trillion communications for financial services, detecting bad actors across multiple channels.Boomi built agent studio, garden, and control tower while spawning 33,000 internal agents.Chris Timmerman used vibe coding to build embeddable Boomi in five months solo.Companies balance creativity with guardrails, starting with IT policies before unleashing innovation.Internal adoption driven by empowering teams to build their own solutions versus top-down.Demandbase saw 70% adoption within six months through grassroots approach and local champions.Measuring success proves challenging, comparable to tracking Excel usage rather than specific KPIs.Companies focus on outcomes like touch-free bug fixes and support metrics versus raw usage.Biggest lesson: Data quality and context determine success more than agentic frameworks.Need scaling framework from low-risk UX improvements to high-risk automation with appropriate guardrails.Industry created fatigue by overpromising; should have started smaller with realistic expectations.Participants:Chris Timmerman – Vice President, Global Services Delivery, BoomiHarshal Dedhia – Vice President of AI, DemandbaseBrandon Carl - Executive Vice President of AI and Product Strategy, SmarshAllison Johnson - AMER Technology Partnerships Leader, 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's approach to Elastic Kubernetes Service has evolved significantly since its 2018 launch. According to Mike Stefanik, Senior Manager of Product Management for EKS and ECR, today's users increasingly represent the late majority—teams that want Kubernetes without managing every component themselves. In a conversation onThe New Stack Makers, Stefanik described how AI workloads are reshaping Kubernetes operations and why AWS open-sourced an MCP server for EKS. Early feedback showed that meaningful, task-oriented tool names—not simple API mirrors—made MCP servers more effective for LLMs, prompting AWS to design tools focused on troubleshooting, runbooks, and full application workflows. AWS also introduced a hosted knowledge base built from years of support cases to power more capable agents.While “agentic AI” gets plenty of buzz, most customers still rely on human-in-the-loop workflows. Stefanik expects that to shift, predicting 2026 as the year agentic workloads move into production. For experimentation, he recommends the open-source Strands SDK. Internally, he has already seen major productivity gains from BI agents that automate complex data analysis tasks.Learn more from The New Stack about Amazon Web Services' approach to Elastic Kubernetes ServiceHow Amazon EKS Auto Mode Simplifies Kubernetes Cluster Management (Part 1)A Deep Dive Into Amazon EKS Auto (Part 2)Join our community of newsletter subscribers to stay on top of the news and at the top of your game.   Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Rough Week – does not phase bulls! Bitcoin – Bottoming? Let’s take a look at Walmart and Target again Homeowners! Mortgage Reform? PLUS we are now on Spotify and Amazon Music/Podcasts! Click HERE for Show Notes and Links DHUnplugged is now streaming live - with listener chat. Click on link on the right sidebar. Love the Show? Then how about a Donation? Follow John C. Dvorak on Twitter Follow Andrew Horowitz on Twitter Warm-Up - Short Week - Markets closed on Thursday and short Friday (1pm) - Can't have a down week for TDAY! - Too much table talk - Recession News - Let's take a look at Walmart and Target again - Homeowners! Mortgage Reform? Markets - Rough Week - does not phase bulls! - Bitcoin - Bottoming? - NVDA - China Bound? - NASDAQ Weighting Inflation - Still Up There - They are now pressing for a cut in December (How are we handicapping this?) - All of a sudden the parade of Fed speakers - all seem a bit more dovish. Meanwhile - President Donald Trump on Friday rolled back tariffs on more than 200 food products, including such staples as coffee, beef, bananas and orange juice, in the face of growing angst among American consumers about the high cost of groceries. - oranges, acai berries and paprika to cocoa, chemicals used in food production, fertilizers and even communion wafers. Quantum Stocks GOOD NEWS! - NO Recession risk! - Bessent says inflation due to services economy, not tariffs - Treasury secretary says Republicans should end filibuster in event of another shutdown - Bessent says administration working to lower prices where it can - Banking and insurance,  Software development and cloud services, Tourism, Restaurants and hospitality , Professional services (law, accounting, consulting) Rigging it - NEC Director Kevin Hassett emerges as frontrunner for Fed Chair as President Trump nears decision, according to Bloomberg Weird News - Buried in the NVDA earnings report - Remember back in September, the two companies announced a massive partnership that would include a $100 billion investment over time by Nvidia into OpenAI. - Nvidia said in its quarterly financial filing that there's no guarantee that the company will finalize an agreement with OpenAI. - Soooooo - is this all hot air???? More NVDA - Here we go. Another reversal - President Donald Trump will make a final decision on whether to allow Nvidia Corp. to sell advanced artificial intelligence chips to China. - The decision involves weighing the promotion of economic expansion against protecting national security, according to US Commerce Secretary Howard Lutnick. ------ Read that again - money versus national security - Allowing the sales would mark a significant easing of restrictions imposed in 2022 to prevent Beijing and its military from accessing the most powerful US technologies. Chip in question: H200 - Had some discussions about this - might as well as they will just get it on their own and this way we can control. (On the other hand, they have a long history of outsmarting us) EVEN MORE - NVIDIA issues memo to CNBC: The company said "We are not aware of any claims that NVDA has improperly capitalized operating expenses. Several commentators allege that customers have overstated earnings by extending GPU depreciation schedules beyond economic useful life" | - The tip of the Iceberg - this is what Michael Burry has been pressing..... HPQ Earnings - HP Inc. beats by $0.01, reports revs in-line; guides Q1 EPS in-line; guides FY26 EPS below consensus; increases dividend; announces company-wide initiative, includes job cuts - Stock down 6% Amazon - The Spend keeps going... - Amazon.com Inc. says it will spend as much as $50 billion expanding its capacity to provide artificial intelligence and high-performance computing services to US government entities. - Amazon Web Services plans to break ground next year on what will ultimately be 1.3 gigawatts of additional capacity across data centers designed for federal agencies, the company said in a blog post on Monday. Google/Berkshire - Berkshire Hathaway revealed a $4.3 billion stake in Google parent Alphabet (GOOGL.O), further reduced its stake in Apple - Google on a ramp since - new Gemini and... - Meta Platforms Inc. is in talks to spend billions on Google's AI chips, adding to a months long share rally as the search giant has made the case it can rival Nvidia Corp. as a leader in artificial intelligence technology. - Meta is in discussions to use the Google chips — known as tensor processing units, or TPUs — in data centers in 2027, and may rent chips from Google's cloud division next year. - Really smart people at Berkshire? What did they know? NASDAQ 100 - Uninvestable? - Top 10 stocks are over 70% weighting - SP500 top 10 stocks = 38% - This is not a diversified approach any longer - Coming up on next week's TDI Podcast - Howard Silverblatt - S&P Dow Jones - Keeper of the data Something They Don't Want You To Know - “Magnificent 7” Companies Reported Lowest Earnings Growth Since Q1 2023 - With NVIDIA reporting actual results for Q3 on November 19, all the companies in the “Magnificent 7” have now reported earnings for the third quarter. - “Magnificent 7” companies reported actual earnings growth of 18.4% for the third quarter. This earnings growth rate is below the average earnings growth rate of 28.8% for these seven companies over the previous four quarters. Novo Nordisk - Pummeled - Shares of Novo Nordisk on Monday fell to a four-year low after the Danish pharmaceutical company said a highly anticipated trial for Alzheimer's disease failed to meet its main goal. - The trial tested whether semaglutide — the active ingredient in Novo's blockbuster diabetes and weight loss drugs Ozempic and Wegovy — helped slow progression for Alzheimer's disease. -While treatment with semaglutide resulted in improvement of Alzheimer's disease-related biomarkers in two separate trials, this did not translate into a delay of disease progression, Novo said in a statement Monday. The goal had been to slow patients' cognitive decline by at least 20%. - Reminiscent of Pfizer - after Covid shot had noting left... Bitcoin - Live by the sword.... - iShares Bitcoin Trust had $2.2 billion in net outflows in November, according to WSJ - Big month of losses for crypto - not too much mention and support by Whitehouse - Selling started - coincidentally with  the pardon of Changpeng Zhao, the convicted founder of the Binance Remember DOGE - DOGE disbanded eight months ahead of scheduled end in July 2026 - Former DOGE employees take new roles in administration - Elon Musk initially led DOGE, promoting its work on social media - bagged out when stock tanked - DOGE claimed to have slashed tens of billions of dollars in expenditures, but it was impossible for outside financial experts to verify that because the unit did not provide detailed public accounting of its work. Walmart - Walmart raised its sales and earnings outlook last week as the retailer posted revenue gains in its fiscal third quarter, driven by double-digit e-commerce growth and new customers across incomes. - The retailer said it expects full-year net sales to climb between 4.8% and 5.1%, up from its previous expectations of 3.75% to 4.75%. - It said it expects its adjusted earnings per share to range from $2.58 to $2.63, a slight raise from its prior range of $2.52 to $2.62. - Stock went vertical ---- - Much different story than Target - WMT up 16% YTD - TGT down 37% Beef Prices - Not Going Down - Tyson Foods stock rallying on Monday following the company's official confirmation that it will shutter its Lexington, Nebraska, beef facility, a strategic move that validates earlier reporting by The Wall Street Journal. - The decision comes as the meat and poultry giant grapples with historically low U.S. cattle inventories, which have severely compressed margins and led to a reported $426 mln adjusted operating loss for its beef segment in FY25.| - Seems that investors like this decisive cost-cutting measure, viewing the capacity reduction as a necessary step toward restoring profitability in a challenging commodity environment. Japan - Japanese Prime Minister Sanae Takaichi's cabinet approved a 21.3 trillion yen ($135.40 billion) economic stimulus package last Friday, marking the first major policy initiative under the new leader, who has pledged to pursue expansionary fiscal measures. - The package includes general account outlays of 17.7 trillion yen, far exceeding the previous year's 13.9 trillion yen and representing the largest stimulus since the COVID pandemic. It will also include 2.7 trillion yen in tax cuts. - Problem is that the Yen is sliding and intervention is imminent - Inflation issue and they will make it worse with this stimulus Larry Summers? - Epstein Files - IS there any There , There? Talk about a 50 Year Mortgage? - Such a bad idea  - and these boneheads think it is smart - 30-Year Mortgage Monthly Payment: $1,610.46 Total Payment: $579,767.35 Total Interest Paid: $279,767.35 - 50-Year Mortgage Monthly Payment: $1,362.42 Total Payment: $817,449.78 Total Interest Paid: $517,449.78 Thanksgiving Costs 2025 National Average (American Farm Bureau Survey) - 2025: $55.18 for a classic dinner for 10 people (about $5.52 per person) - 2024: $58.08 for the same meal - Change: Down 5% year-over-year This is the third consecutive annual decline since the record high of $64.05 in 2022. Key Drivers Turkey prices dropped sharply: A 16-pound frozen turkey averages $21.50, down 16% from 2024. Sides are mixed: Dinner rolls and stuffing are cheaper (down 14.6% and 9%). Sweet potatoes and veggie trays are much higher (up 37% and 61%). Regional Differences South: $50.01 (most affordable) West: $61.75 (most expensive) Classic Meal for 10 ($55???????) 16-pound turkey (frozen, whole) Stuffing mix (14 ounces) Sweet potatoes (3 pounds) Rolls (12-count package) Peas (1 pound) Cranberries (12 ounces) Carrots and celery (for a veggie tray) Pumpkin pie mix (30 ounces) Pie shells (two, 9-inch) Whipping cream (half pint) Milk (1 gallon) - Love the Show? Then how about a Donation? THE CTP FOR: iShares Bitcoin Trust ETF (IBIT) Winners will be getting great stuff like the new "OFFICIAL" DHUnplugged Shirt! FED AND CRYPTO LIMERICKS See this week's stock picks HERE Follow John C. Dvorak on Twitter Follow Andrew Horowitz on Twitter

Phill Robinson of Boardwave joins Miguel Alava and Massimo Ghislandi of AWS to share research and actionable strategies for European software companies using cloud infrastructure, AI features, and marketplace leverage to drive unprecedented growth.Topics Include:Boardwave and AWS reveal research on European software companies becoming global innovators.Cloud-first businesses exceed customer expectations at 60% versus 46% for laggards.Boardwave's 2,500 CEO members validate findings: AI companies growing 45% annually.Leaders excel at gathering customer feedback for innovation and implementing AI.Top performers leverage marketplaces and deliver continuous customer experience updates consistently.Cloud adoption is foundational for generative AI and agentic AI to scale.Companies face different challenges depending on their cloud maturity stage currently.Cloud serves as table stakes before companies can capture AI growth opportunities.Benchmarking tool helps identify current position and plan strategic next steps forward.Startups should solve universal problems globally, building painkillers not vitamin products.Intercom scales customer service; Wix transforms efficiency through cultural and engineering mindset.Future requires cloud foundation with AI features; AWS offers comprehensive support programs.Participants:Phill Robinson – Chair & Co-Founder, BoardwaveMiguel Alava – EMEA ISV General Manager, Amazon Web ServicesMassimo Ghislandi - Head of EMEA Marketing for Software Companies, 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/

From Transactional Service to Relationship Building with the Help of Technology  Shep interviews Pasquale DeMaio, Vice President and General Manager of Amazon Connect. He talks about how Amazon leverages AI and technology to enhance customer service, with  a "better together" approach where automation and human agents work hand-in-hand to create efficient, empathetic, and proactive customer experiences.  This episode of Amazing Business Radio with Shep Hyken answers the following questions and more:    What is the "better together" approach in customer service technology and human interaction?  How can automation and AI improve efficiency in handling repetitive customer service tasks?  Why is genuine empathy important in customer service, and can technology replicate it?  How does empowering human agents with technology lead to better customer outcomes?  How can customer insights from support interactions drive continuous improvement?  Top Takeaways:   Customer service works best when technology and real people come together. While AI and automation can make things faster and easier, people still want to talk to humans for help with complex or emotional problems.   The goal should always be to use AI to support employees, not replace them. Technology should make it easier for humans to do what they do best: listen, empathize, and solve tricky issues.   It's important to treat every customer with respect and kindness, as you would a friend. Customers want to feel valued, not manipulated, so the best approach is to be sincere by helping them in a way that matches their needs and preferences.  Every interaction is an opportunity to build a relationship and encourage customers to return. Focusing on both solving the issue and making people feel good about the experience creates loyal customers.   Modern tools allow companies to analyze every conversation, not just a few. Every conversation with your customers, whether by phone or chat, is a rich source of information that can reveal trends, problems, and opportunities. This real-time insight can help fix issues faster, spot patterns, and make better decisions to improve service for everyone.  Taking action before problems start, or even before the customer notices there's a problem, makes for an amazing customer experience. When a customer encounters a problem, contacting them with a new option before they ask for help is an example of proactive service. The best companies work to prevent problems or solve them instantly, making customers feel cared for and stress-free.  AI can make agents' jobs better, not obsolete. AI can handle the boring and repetitive parts of the job, like taking notes or finding information, so people can focus on helping customers. This makes work more enjoyable and lets agents do what they're best at, which is solving problems and building relationships.  The end goal should be more than just fixing a problem. Create a positive memory. Make every interaction with a customer one that leaves them feeling happy, satisfied, and eager to return.  Plus, Shep and Pasquale answer the question, "Can computers fake empathy?" Tune in!  Quote:   "Humans are core to the experience. The end customer is a human being, and often, the main contact they have with a company is through human customer service. Everything we do with technology should be designed to fade into the background and allow any human being to be more effective."  About:    Pasquale DeMaio is the Vice President and General Manager of Amazon Connect, the cloud-based contact center solution from Amazon Web Services. Amazon Connect leverages the same underlying technology that Amazon's own global customer service team uses to manage millions of customer interactions every day.  Shep Hyken is a customer service and experience expert, New York Times bestselling author, award-winning keynote speaker, and host of Amazing Business Radio.    Learn more about your ad choices. Visit megaphone.fm/adchoices

AWS re:Invent has long featured CTO Werner Vogels' closing keynote, but this year he signaled it may be his last, emphasizing it's time for “younger voices” at Amazon. After 21 years with the company, Vogels reflected on arriving as an academic and being stunned by Amazon's technical scale—an energy that still drives him today. He released his annual predictions ahead of re:Invent, with this year's five themes focused heavily on AI and broader societal impacts.Vogels highlights technology's growing role in addressing loneliness, noting how devices like Alexa can offer comfort to those who feel isolated. He foresees a “Renaissance developer,” where engineers must pair deep expertise with broad business and creative awareness. He warns quantum-safe encryption is becoming urgent as data harvested today may be decrypted within five years. Military innovations, he notes, continue to influence civilian tech, for better and worse. Finally, he argues personalized learning can preserve children's curiosity and better support teachers, which he views as essential for future education.Learn more from The New Stack about evolving role of technology systems from past to future: Werner Vogels' 6 Lessons for Keeping Systems Simple50 Years Later: Remembering How the Future Looked in 1974Join our community of newsletter subscribers to stay on top of the news and at the top of your game.   Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Industry leaders from Kore AI, SS&C Blue Prism and AWS reveal what actually works in agentic AI deployment, from contact center automation to employee productivity, with proven strategies for regulated industries.Topics Include:Kore AI and SS&C Blue Prism leaders discuss achievable agentic AI actionsThree deployment areas show real ROI: customer service, employee automation, and process workflowsKore AI handles billions of annual interactions, with 85% focused on contact center operationsSS&C Blue Prism achieved $200 million annual savings using agentic AI across 120 internal use casesThe company processes 6 million transactions monthly consuming 10-12 billion tokens in productionRegulated industries like financial services and healthcare successfully deploy agentic AI with proper guardrailseBay case study demonstrates measurable productivity gains tied directly to AI agent implementationTwo identical pilot programs yielded different results: one tied to business outcomes, one didn'tISVs should stop chasing shiny objects and focus on solving customers' stickiest problems insteadDesign for scale from day one and accept no single vendor solves everything aloneEmployee-facing use cases carry less risk than customer-facing applications for initial AI deploymentsCombining deterministic automation with AI plus governance creates more viable and trustworthy solutionsParticipants:Erik Walton - EVP of WW Sales/Partner Sales, Kore AISatish Shenoy - VP, Global Technology Alliances & AI GTM, SS&C Blue PrismArym Diamond – Head of North America Data & AI Sales, 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/

On this episode Justin records live at HLTH25 in Las Vegas. Stay tuned for the next few weeks to hear all his guests. This week Justin talks to Rasu Shrestha, MD MBA, Chief Innovation and Commercialization Officer, EVP at Advocate Health and Rowland Illing, MD. Global Chief Medical Officer and Director, Healthcare and Life Sciences at Amazon Web Services (AWS). To stream our Station live 24/7 visit www.HealthcareNOWRadio.com or ask your Smart Device to “….Play Healthcare NOW Radio”. Find all of our network podcasts on your favorite podcast platforms and be sure to subscribe and like us. Learn more at www.healthcarenowradio.com/listen

AI will change the world even more than the internet, with profound implications for most aspects of society, including massive wealth creation. It will impact many sectors of commerce, including Real Estate. Amongst other implications, AI is creating an insatiable demand for Data Centers and a scramble for computing power. Peter Lewis, Chairman and Founder of Wharton Equity Partners, has over 35 years of experience as a real estate owner, developer, and operator, and is now merging with Lighthouse, a turnkey developer of Data Centers. The founders of Lighthouse formerly led Midwest and Western data center development for Amazon Web Services.

En el Radar Empresarial de hoy examinamos las enormes sumas que están destinando los principales gigantes tecnológicos a fortalecer su posición en el terreno de la inteligencia artificial. Las compañías más influyentes del sector se están moviendo mediante acuerdos de dimensiones históricas y alianzas estratégicas con las que buscan mantenerse a la cabeza en una competencia cada vez más intensa. Uno de los convenios más recientes involucra a tres actores clave: Nvidia, Anthropic y Microsoft. Tanto el fabricante de chips como la empresa fundada por Bill Gates han pactado una inversión conjunta de 15.000 millones de dólares en Anthropic, una de las start-ups más prometedoras y considerada rival directa de OpenAI. Nvidia aportará 10.000 millones, mientras que Microsoft cubrirá el resto, a cambio de que Anthropic destine 30.000 millones a tecnologías desarrolladas por ambas. Este movimiento, sin embargo, ha despertado inquietudes entre parte del mercado. Diversas voces especializadas advierten que la demanda de soluciones de inteligencia artificial crece a un ritmo multimillonario, pero aseguran que aún no existe suficiente infraestructura tecnológica para respaldar acuerdos tan colosales. Entre los críticos destaca Michael Burry, conocido por anticipar la crisis de 2008. En redes sociales compartió una imagen con los principales pactos empresariales de este año acompañada del mensaje: “Con el tiempo, esto será visto como un fraude, no como un simple fenómeno pasajero”. Sea o no una burbuja, el 2025 se ha convertido en el año de las grandes alianzas en IA. En apenas unas semanas, OpenAI firmó un acuerdo de 38.000 millones de dólares con Amazon para potenciar Amazon Web Services, y meses antes selló un pacto con Broadcom para desarrollar sus propios chips de inteligencia artificial. Otro movimiento relevante fue la inversión de 5.000 millones de dólares de Nvidia en Intel, con la que adquirió el 5% de la compañía. Pero el proyecto más ambicioso sigue siendo Stargate, impulsado por Oracle, OpenAI y SoftBank, que prevé destinar 500.000 millones de dólares en Estados Unidos para acelerar el avance de la inteligencia artificial. Solo el tiempo mostrará si estas apuestas derivarán en una crisis global o en una revolución tecnológica sin precedentes. Por ahora, lo indiscutible es que los grandes magnates del sector se están enriqueciendo rápidamente: según Forbes, veinte multimillonarios —entre ellos Mark Zuckerberg, Michael Dell y Steve Ballmer— han incrementado sus fortunas colectivamente en más de 450.000 millones de dólares desde comienzos de año.

CEO Scott Stephenson explains how Deepgram's voice AI technology powers everything from pharmacies to drive-thru ordering and why, after so many years, Voice AI is now ready for prime time.Topics Include:Scott Stephenson introduces Deepgram as an audio AI company building speech productsMajor brands like CVS and Anthropic use Deepgram to power voice agentsCVS handles prescription status calls where 25-40% ask if prescriptions are readyVoice technology now accurately understands diverse accents and speech patterns from callersAutomated systems free pharmacists to focus on their actual jobs insteadJack in the Box uses Deepgram for drive-thru ordering with natural conversationsPrevious McDonald's and Wendy's failures happened because the technology wasn't ready yetVoice AI can handle any task with text input like CRM notesHealthcare companies adopted voice AI faster than expected despite compliance hurdlesStaffing shortages drove hospitals to push through HIPAA and regulatory red tapeFirst misconception: AI will never match human performance in customer interactionsSecond misconception: one product should solve all voice-related business problemsCompanies must strategically decide what to build, partner on, or buyDeepgram's research team controls speech speed and outputs conversational data like timestampsAdoption will feel slow initially but suddenly be everywhere within three yearsParticipants:Scott Stephenson – Co-Founder & CEO, DeepgramSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

The Data Center Boom: Five Trends Engineering Firms Need to Know The data center market is experiencing unprecedented growth, driven by artificial intelligence adoption and changing infrastructure demands. For ACEC member firms, this represents both a substantial business opportunity and a chance to shape critical national infrastructure. ACEC's latest Market Intelligence Brief reveals a market poised to reach $62 billion in design and construction spending by 2029, with implications that extend far beyond traditional data center engineering. The launch of ChatGPT in 2022 marked an inflection point. What began as voice assistants has evolved into sophisticated language learning models that consume dramatically more energy. A standard AI query uses about 0.012 kilowatt-hours, while generating a single high-quality image requires 2.0 kWh—roughly 20 times the daily consumption of a standard LED lightbulb. As weekly ChatGPT users surged from 100 million to 700 million between November 2023 and August 2025, the infrastructure implications became impossible to ignore. AI-driven data center power demand, which stood at just 4 gigawatts in 2024, is projected to reach 123 gigawatts by 2035. Even more striking: 70 percent of data center power demand will be driven by AI workloads. This explosive growth requires engineering solutions at unprecedented scale, from power distribution and backup systems to advanced cooling technologies and grid integration strategies. Public perception about data center water consumption often overlooks important nuances in cooling technology. While mechanical cooling systems have historically consumed significant water resources, newer approaches could dramatically reduce water use. Free air cooling, closed-loop systems, and liquid immersion technologies offer low-water use alternatives, with some methods reducing freshwater consumption by 70 percent or more compared to traditional systems. As Thom Jackson, mechanical engineer and partner at Dunham Engineering, notes: "Most data centers utilize closed loop cooling systems requiring no makeup water and minimal maintenance." The "big four" hyperscale operators—Amazon Web Services, Microsoft Azure, Google Cloud Platform, and Meta—have all committed to becoming water-positive by 2030, replenishing more water than they consume. These commitments are driving innovation in cooling system design and creating opportunities for engineering firms with expertise in sustainable mechanical systems. The days of one-size-fits-all data centers are over. Latency requirements, scalability needs, and proximity to end users are accelerating adoption of diverse building types. Edge data centers bring computing closer to users for real-time applications like IoT and 5G. Hyperscale facilities support massive cloud and AI workloads with 100,000-plus servers. Colocation models enable scalable shared environments for enterprises, while modular designs—prefabricated with integrated power and cooling—offer rapid, cost-effective deployment. Each model presents distinct engineering challenges and opportunities, from specialized HVAC systems and high floor-to-ceiling ratios for hyperscale facilities to distributed infrastructure planning for edge networks. Two emerging trends deserve particular attention. First, the Department of Energy has selected four federal sites to host AI data centers paired with clean energy generation, including small modular reactors (SMRs). The Nuclear Regulatory Commission anticipates at least 25 SMR license applications by 2029, signaling strong demand for nuclear co-location expertise. Second, developers are increasingly exploring adaptive reuse of underutilized office spaces, Brownfield sites, and historical buildings. These locations offer existing utility infrastructure that can reduce construction time and costs, making them attractive alternatives despite some design constraints. Recent federal policy changes are streamlining data center deployment. Executive Order 14318 directs agencies to accelerate environmental reviews and permitting, while revisions to New Source Review under the Clean Air Act could allow construction to begin before air permits are issued. ACEC recently formed the Data Center Task Force to advocate for policies that balance speed, affordability, and national security in data center development, complimenting EO 14318. For engineering firms, site selection expertise has become increasingly valuable. Success hinges on sales and use tax exemptions, existing power and fiber connectivity, effective community engagement, and thorough environmental risk assessment. AI-driven planning tools like UrbanFootprint and ESRI ArcGIS are helping developers evaluate site suitability, identifying opportunities for firms. The data center market offers engineering firms a chance to lead in sustainable design, infrastructure innovation, and strategic planning at a moment when digital infrastructure has become as critical as traditional utilities.  

//The Wire//2300Z November 18, 2025////ROUTINE////BLUF: CLOUDFLARE OUTAGE LIMITS WEBSITE ACCESS GLOBALLY FOR SEVERAL HOURS. IED ATTACK TARGETS TRAIN IN POLAND. COUNTER-ICE ACTIVITIES CONTINUE IN CHARLOTTE.// -----BEGIN TEARLINE------International Events-Poland: More details have come to light regarding multiple acts of sabotage conducted on the Warsaw-Lublin rail line over the weekend. Train service was interrupted on Sunday near the village of Mika as multiple acts of sabotage were noted. The most significant act of sabotage involved explosives being planted on the rails, which detonated as a train rolled over the trigger mechanism to complete an electrical circuit, and thus detonating the explosives. After this explosive attack, Polish authorities conducted a sweep of the tracks along the line, which revealed several other acts of sabotage such as cutting electrical lines and otherwise tampering with rail equipment.-HomeFront-USA: This morning a brief outage of Cloudflare was reported, which resulted in many websites being offline for a short time. Most of the hardest-hit platforms included Twitter/X, Uber, OpenAI, and Spotify. DownDetector itself was also affected by the outage. Cloudflare stated that the reason for the outage involved a software bug during routine maintenance.Analyst Comment: Considering the major outage of Amazon Web Services in October, this is the second instance in 30 days of a major internet service company breaking a good chunk of the internet due to human error.North Carolina: ICE operations continue in Charlotte, with local media stating that deportation operations also began in Raleigh today.Analyst Comment: Resistance to the deportation of violent criminals has been high from all levels of society in Charlotte. Local media groups have been openly been teaching illegals how to evade ICE, and have been providing legal advice on interacting with ICE agents. Local churches have also been allowing their spaces to be used for seminars on how to evade ICE detention. Several US citizens have been arrested for interfering with ICE operations, including one transgender individual who attacked an ICE convoy yesterday.-----END TEARLINE-----Analyst Comments: Regarding the derailing attacks in Poland, Polish government officials have laid blame on Russia, as expected. This is largely for two main reasons, and also a third reason that probably won't be publicized. For one, the attacks were sophisticated enough to indicate they were not conducted by an amateur. Secondly (and most significantly) the rail line that was attacked leads directly to Ukraine and is used to ship arms to the front. Most Polish authorities have thusly blamed Russia, stating that saboteurs planted the explosives with the intent to derail a train carrying weapons to Ukraine. What the authorities are probably not saying, is that forensic analysis of the explosive residue found at the scene probably indicates the explosive wasn't Homemade Explosive (HME), but rather a more military-grade compound. Polish authorities might not publicly confirm this, but this forensic analysis is probably what gave them the confidence to publicly point the finger at Russia instead of relying on the usual dodging of the question. Obviously these details are impossible to verify independently; incidents like this are squarely based on trust. It could be Russia, but it it could just as easily be a false-flag attack. Concerning the ongoing investigation, this afternoon Polish authorities stated that two Ukrainian nationals are suspected of carrying out the attack, both of which are assessed to have been turncoats working for Russia for some time.As with all things that take place at present regarding this war, truth is rare and deception is plentiful, so discerning what really happened will probably not be possible for a while. Either way, the

** AWS re:Invent 2025 Dec 1-5, Las Vegas - Register Here! **Uri Cohen reveals how Elastic transformed from managing 50,000 complex clusters to building a seamless serverless platform that eliminates operational overhead while scaling globallyTopics Include:Johan Broman of AWS hosts Uri Cohen who leads Elastic's platform products teamUri shares his nine-year journey at Elastic from small company to global scaleElasticsearch started 15 years ago, becoming popular for search, logs, and security eventsElastic Cloud launched 2015, but users struggled with shards, nodes, and infrastructure complexityServerless eliminates operational concerns, letting users just ingest and analyze their dataDesign goal: maintain familiar Elasticsearch experience while removing all infrastructure management burdenChose complete architectural redesign over retrofitting auto-scaling to existing infrastructureNew architecture uses S3 persistence with lightweight routing layer serving 50,000+ clustersCell-based design limits blast radius and improves multi-tenancy across 40+ global regionsLearned S3 API costs can explode unexpectedly without careful request pattern optimizationAI transforms security workflows: 10,000 alerts become 3 actionable attack summaries automaticallyWeekly continuous deployment enables faster innovation delivery without waiting for version releasesParticipants:Uri Cohen – Vice President of Product Management, Platform, ElasticJohan Broman – EMEA ISV Head of Solutions Architecture, 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/

Sage unveiled new functionality in Sage Intacct designed to help finance teams move from managing data to driving performance. Deltek unveiled its next-generation platform and brand evolution at Deltek ProjectCon 2025. ECI Software Solutions announced its NET1 Commerce Suite for North American Manufacturers. QAD and Amazon Web Services (AWS) announced an expanded strategic collaboration.Connect with us!https://www.erpadvisorsgroup.com866-499-8550LinkedIn:https://www.linkedin.com/company/erp-advisors-groupTwitter:https://twitter.com/erpadvisorsgrpFacebook:https://www.facebook.com/erpadvisorsInstagram:https://www.instagram.com/erpadvisorsgroupPinterest:https://www.pinterest.com/erpadvisorsgroupMedium:https://medium.com/@erpadvisorsgroup

When you imagine the future, is it powered by clean energy or driven by AI? As the UK works towards its net-zero goals, our energy system is being asked to do more than ever before – delivering power that's cleaner, smarter, and more reliable to support an increasingly digital and connected world The future isn't just electric – it's intelligent. Artificial intelligence is transforming the way we live and work, boosting productivity, driving economic growth, and helping to tackle some of society's biggest challenges. But AI doesn't run on ideas and data alone – it runs on energy. And as its capabilities expand, so does the demand for power to keep it running. So how do we make sure the UK's ambition to lead in AI and achieve net zero go hand in hand? Can we build an energy system of the future that powers both our digital and sustainable ambitions? What will it take to get there, and who needs to lead the charge? That's what we're exploring in this episode of The Green Room with Carol Yan, General Manager responsible for Amazon Web Services' Energy & Utilities business across the UK & Ireland, and Tom Harris, leader of Deloitte's Sustainable Business Solutions practice, as we ask: What will it take to power our AI goals? Tune in to find out: How AI and new technology is accelerating the journey towards a more sustainable future What really happens when energy giants and tech companies innovate together Why "coopetition" is key to tackling AI's environmental impact How businesses can scale AI responsibly without losing their competitive edge Enjoyed this episode? Check our website for our recommendations to learn more about this topic: Deloitte.co.uk/greenroompodcasts Find out more about The Yard here: The Yard Charity | Supporting disabled children and young people Guests: Carol Yan, General Manager responsible for Amazon Web Services' Energy & Utilities business across the UK & Ireland, and Tom Harris, leader of Deloitte's Sustainable Business Solutions practice. Hosts: Lizzie Elston and Steph Dobbs Original music: Ali Barrett Recording date and location: London, 10.11.25

SS&C Blue Prism's VP reveals how they achieved $200M annual savings and $600M revenue growth by deploying 3,000 AI agents, processing 6 million documents monthly as their own first customer.Topics Include:SS&C Blue Prism evolved from RPA leader to agentic automation provider over 25 yearsServes 22,000 clients in regulated industries like financial services, healthcare, manufacturing, and retailOffers AI agents, governance gateway, and secure enterprise chat leveraging AWS BedrockAs "customer zero," they deployed 3,000 agents processing 6 million documents monthlyGenerated $200M annual savings and $600M revenue growth using their own technologyFinancial services client unlocked unstructured document processing previously impossible with traditional automationHealthcare client's AI processes MRIs more accurately than human radiologistsKey lesson: Focus on business outcomes first, not just implementing AI everywhereCritical insight: Plan for scale on day one, not after pilots succeedAWS Marketplace streamlined purchasing, especially in challenging Latin American marketsFuture vision: B2A economy where agents negotiate parking, shopping, and services autonomouslyPredicts agent-to-agent communication will revolutionize healthcare monitoring and wealth managementParticipants:Satish Shenoy – Global Vice President, Technology Alliances and GenAI GTM, SS&C Blue PrismSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

** AWS re:Invent 2025 Dec 1-5, Las Vegas - Register Here! **Three enterprise AI leaders from Archer, Demandbase, and Highspot reveal how top companies are implementing AI responsibly while navigating data privacy, bias prevention, and regulatory compliance challenges.Topics Include:AWS Security GM Brian Shadpour hosts three AI leaders discussing responsible enterprise deploymentDemandbase's Umberto Milletti explains tenant-based models ensuring first-party customer data remains confidentialHighspot's Oliver Sharp uses behavior-specific feedback frameworks to eliminate bias in sales assessmentsReal-time AI evaluation proves challenging when assessing dynamic sales conversations and customer interactionsCompanies create "second-party data" networks where customers opt-in to share insights collectivelyOpen-source models gain traction but require significant expertise for enterprise-grade implementationEU AI Act mandates human oversight, reshaping how companies design AI systems globallyArcher's Kayvan Alikhani extends identity management principles from web applications to AI agentsUnattended AI agents performing tasks autonomously create new security and accountability challengesHuman-in-the-loop oversight remains essential, especially for high-stakes decisions affecting customersFuture challenge: Determining when AI accuracy justifies removing costly human oversightEnterprise data hygiene becomes critical as AI systems need clean, reviewed internal dataParticipants:Kayvan Alikhani - Global Head of Engineering- Emerging Solutions, Archer Integrated Risk ManagementUmberto Milletti - Chief R&D Officer, DemandbaseOliver Sharp - Co-Founder & Chief AI Officer, HighspotBrian Shadpour - General Manager, Security, 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/

Send us a textIn this episode of Imperfect Marketing, host Kendra Corman sits down with Amir Elion, founder of Think Big Leaders and a global expert on innovation and AI strategy. Together, they unpack how artificial intelligence is transforming innovation, marketing, and the way businesses think about creativity and efficiency.Amir shares his journey from leading innovation initiatives at Amazon Web Services to helping organizations around the world use AI to scale ideas faster and smarter.

The holiday season is make or break time for retailers, as the last two months of the year can account for more than 20 percent of annual sales for many businesses. But this season is expected to be like none other, as 2025 marks the first year with agentic AI rewriting the retail playbook, from marketing to customer support. In this podcast for Retail Rx, David Dorf, global head of retail solutions at Amazon Web Services (AWS) chats with Ian Fredericks, chief executive officer of Hilco Global Capital Solutions and executive director of Hilco Global's retail and consumer platform. They explore the many ways agentic AI is being used to help retailers seize this next chapter, and whether retailers should have a chief AI officer.  “When we talk about agentic AI, it's really based on the word agency, so we're giving the [large learning model] autonomous ability to go out and act on our behalf,” said Dorf, explaining that there's a “litmus test” he uses to see if it's really an agent. One, can it reason? Two, does it have access to tools – like a weather site – that can help it make a decision? And three, is it autonomous? Answer engines with AI summaries are another growth area. “Around 75 percent of people have said that they have used an answer engine to start their shopping journey before,” said Dorf. “We're going to see more of that. Walmart said has about 20 percent of their referral traffic is coming from these answer engines; people asking it a generic question and ending up at the Walmart site. So this pretty impactful.” Learn more about your ad choices. Visit megaphone.fm/adchoices

On this episode we discuss our reliance on the technology and power grid through the lens of the recent Amazon Web Services outage that effected millions.Email: Info@Amateurhourpod.comSocials: @Amateur_Pod

** AWS re:Invent 2025 Dec 1-5, Las Vegas - Register Here! **SnapLogic CTO Jeremiah Stone reveals how they evolved from open-source to AI-powered integration platform, doubled AI adoption with one UX change, and delivers measurable enterprise ROI.Topics Include:SnapLogic CTO shares their decade-long journey building AI-powered integration with AWS partnership.SnapLogic drives "human cost of integration to zero" for thousands of global companies.Started as open-source project, pivoted to cloud in 2015 with AWS infrastructure.Began AI workloads in 2018, predicting next steps in integration workflows using models.Became AWS Bedrock launch partner, completely reinventing their product for generative AI era.SnapLogic lives through transformations first, then credibly helps ISV customers do same.Helped Adobe migrate entire CRM from Salesforce to Microsoft over single weekend.Built normalized data architecture using S3, Iceberg, Glue for analytics-ready enterprise data.SnapGPT copilot converts plain language prompts into complete integration pipelines in minutes.Live demo shows generating Salesforce-to-Redshift pipeline with filters using natural language commands.Small UX tweak adding helpful header doubled monthly active users of SnapGPT.Changed legal agreements in 2017 to capture metadata, enabling AI features years later.Agent Creator delivers ROI across customers: Inspirant, Core Plus, AstraZeneca use cases.SnapLogic's own finance team cut order reconciliation from 40 hours monthly to 90 minutes.Key lessons: governance first, understand business impact, use AWS native patterns consistently.Participants:Jeremiah Stone – Chief Technical Officer, SnapLogicOlawale Oladehin – Managing Director, NAMER Technology Segments, 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/

In this episode of The Cybersecurity Defenders Podcast, we discuss some intel being shared in the LimaCharlie community.A newly observed threat campaign is exploiting Amazon Web Services' Simple Email Service using stolen credentials and open source tools to perform cloud reconnaissance and eventually launch Business Email Compromise scams. A critical vulnerability has been disclosed in the React Native Community CLI NPM package, a toolset widely used for building React Native applications.Microsoft's Detection and Response Team (DART) has discovered a novel backdoor, SesameOp, that uses the OpenAI Assistants API as a command-and-control (C2) channel, highlighting a new way attackers are misusing generative AI platforms.Researchers from Cyble and Seqrite Labs have disclosed a sophisticated malware campaign, dubbed Operation SkyCloak, targeting defense-related organizations in Russia and Belarus through weaponized attachments delivered via phishing emails.Support our show by sharing your favorite episodes with a friend, subscribe, give us a rating or leave a comment on your podcast platform.This podcast is brought to you by LimaCharlie, maker of the SecOps Cloud Platform, infrastructure for SecOps where everything is built API first. Scale with confidence as your business grows. Start today for free at limacharlie.io.

IREN and Cipher both announced deals with hyperscalers this week as the AI race heats up among bitcoin miners. Subscribe to the Blockspace newsletter for market-making news as it hits the wire! Welcome back to The Mining Pod! Today, Colin and Matt talk about two massive hyperscaler deals that have upped the expectations for AI-pivots. Cipher Mining just secured a $5.5B, 15-year lease with Amazon Web Services for 300MW at their Bear Lake facility, while IREN signed a $9.7B, 5-year deal with Microsoft for 200MW in Texas. We also cover highlights from public miner Q3 earnings that have trickled through so far, a bitcoin miner lawsuit that involves OpenAI, and why Warren Buffett's Pacific Power's loss with Amazon is a win for bitcoin miners. Plus: Will China win the AI race? Nvidia's CEO thinks yes. Notes:  • Cipher signs $5.5B AWS deal for 300MW facility • IREN inks $9.7B Microsoft cloud compute agreement • Hash price crashes to $40 per petahash per day • Bitcoin retraced from $126K to $101K support • Cipher announces 1GW data center JV project • Pacific Power fails to deliver Amazon capacity Timestamps: 00:00 Start 02:00 Difficulty Report by Luxor 05:05 Cipher Amazon deal 08:02 IREN Microsoft deal 13:56 Cleanspark Ad 14:25 Q3 earnings update 14:38 RIOT 14:54 MARA 15:34 HUT 8 16:08 CIPHER 18:23 CORZ workers comp lawsuit 21:08 China winning AI race? 26:31 Cry Corner: Buffett can't MW

What if the most powerful tool for saving time, making money, and transforming your life was already right in front of you? And yet you're most likely using it incorrectly or not using it at all. That tool is AI – artificial intelligence. Have you noticed: it seems like everybody is talking about AI everywhere you turn? You're already living with it every single day, whether you notice it or not. So, you might as well be the one in charge of how you use it. That's why Mel has been searching for the right expert to come on the show to empower you, step by step, on how you can best use AI to benefit your life. That's what you'll hear today from Allie K. Miller, who Mel calls “The AI Whisperer” because she is in the ear advising some of the world's leading brands on AI. Allie launched the first multimodal AI team at IBM, was the Global Head of AI for Startups and Venture Capital at Amazon Web Services, is the most-followed AI voice on LinkedIn and one of TIME Magazine's 100 Most Influential People in AI. And she isn't here to scare you about artificial intelligence. She's here to show you how to use it in ways that can improve your life, starting today. Allie breaks down how AI actually works, what it can do for your day-to-day life, and how you can use it to make your days better and easier. You don't need to be a coder or a tech person to follow along. Mel is right there with you as a beginner to AI. Allie explains it all clearly, with real-life examples. In fact, if you've ever felt behind on technology or overwhelmed by the hype, this episode will leave you feeling empowered. It's time for a real, human conversation about AI – one that will give you the truth, the confidence, and the step-by-step moves that will help you take control of your time, your money, and your life. For more resources related to today's episode, click here for the podcast episode page. If you liked the episode, check out this one next: How to Get Things Done, Stay Focused and Be More ProductiveConnect with Mel:  Get Mel's newsletter, packed with tools, coaching, and inspiration.Get Mel's #1 bestselling book, The Let Them TheoryWatch the episodes on YouTubeFollow Mel on Instagram The Mel Robbins Podcast InstagramMel's TikTok Subscribe to SiriusXM Podcasts+ to listen to new episodes ad-freeDisclaimer Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

What if your biggest competitive advantage isn't how technologically advanced you are — but how psychologically agile your teams are?On today's episode, we sit down with Matt Garman — CEO of Amazon Web Services — to dig into the leadership frameworks behind one of the world's most innovative companies. We cover his “one-way vs. two-way doors” decision model, why “minimum lovable product” beats perfectionism, and how to push autonomy down while keeping trust and security high.We also explore what's really slowing AI adoption (and why replacing junior employees with AI is a terrible idea), why documents beat slide decks for high-stakes calls, and the long-view energy bets—including nuclear—that AWS believes will shape innovation and sustainability. Along the way, Matt shares the personal side of leading at speed: family dinners, golf as a reset, and the “support then challenge” cadence that helps teams sustain pace without burning out.What you'll learn:How to use the “one-way vs. two-way doors” framework to make faster, smarter decisionsWhy optimism (not naïveté) is a core competitive advantage for innovatorsThe key to shipping a minimum lovable product customers actually wantThe real frictions in AI adoption—and why replacing juniors with AI backfiresWhy long-horizon energy bets (including nuclear) matter for innovation and sustainabilityIf you're leading in a fast-moving world—or want to—this conversation offers practical frameworks and a shot of grounded optimism to help your team move faster, smarter, and with more heart.__________________________________Links & ResourcesSubscribe to our Youtube Channel for more conversations at the intersection of high performance, leadership, and wellbeing: https://www.youtube.com/c/FindingMasteryGet exclusive discounts and support our amazing sponsors! Go to: https://findingmastery.com/sponsors/Subscribe to the Finding Mastery newsletter for weekly high performance insights: https://www.findingmastery.com/newsletter Download Dr. Mike's Morning Mindset Routine: findingmastery.com/morningmindset!Follow on YouTube, Instagram, LinkedIn, and XSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Supreme Court Ruling on tariffs within weeks.... Say goodbye to the penny! November heading for a potential fall. Splits - Are they back? PLUS we are now on Spotify and Amazon Music/Podcasts! Click HERE for Show Notes and Links DHUnplugged is now streaming live - with listener chat. Click on link on the right sidebar. Love the Show? Then how about a Donation? Follow John C. Dvorak on Twitter Follow Andrew Horowitz on Twitter NEED A NEW CTP - How About a Crypto ETF? (IBIT) INTERACTIVE BROKERS Warm-Up - Supreme Court Ruling on tariffs within weeks.... - Say goodbye to the penny - November heading for a potential fall - Prediction - When will US Government Reopen - New Term - AI Washing Markets - OpenAI - even more deals - Palatir Earnings - Serepta FLOP -AMAZON BLOWOUT - Splits - Are they back? Election Day - Updates? The SAME Stories are making their way around - Seasonally good time for equities - Don't fight the Fed - Earnings trend - Buybacks again Under/Over on When US Government Opens - November 10th - Under/Over? November Outlook - On the heels of a good October... - Question: How much more is in the tank for blowouts? Earnings season is about over and what are other catalysts - Aside from Santa? - More NVDA excitement? More OpenAi deals??? - So much good news is priced in it is hard to imagine HUGE upside AI Washing - AI washing is a deceptive marketing tactic where companies exaggerate or falsely claim to use artificial intelligence in their products to appear more innovative and advanced. - It is also used when layoffs occur to say that there is less need for employees due to advances in technology. - Corporate giants Amazon, UPS and Target each announced layoffs in recent weeks totaling more than 60,000 jobs cut this year. Amazon - Great earnings - stock up HUGE to ATH ater the report - Amazon beats by $0.38, beats on revs; guides Q4 revs in-line - Reports Q3 (Sep) GAAP earnings of $1.95 per share, $0.38 better than the FactSet Consensus of $1.57; revenues rose 13.4% year/year to $180.17 bln vs the $177.91 bln FactSet Consensus. - Co reports Q3 operating income, excluding items, of $21.7 bln vs prior guidance of $15.5-20.5 bln. - North America segment sales increased 11.2% yr/yr to $106.27 bln. - International segment sales increased 14.0% yr/yr (+10% CC) to $40.90 bln. - AWS segment sales rose 20% yr/yr (+20% CC) to $33.01 bln. - Advertising Services rose 24% yr/yr (+22% CC) to $17.70 bln. - Co issues in-line guidance for Q4, sees Q4 revs of $206-213 bln vs. $208.41 bln FactSet Consensus. Co guides to Q4 operating income of $21-26 bln. OpenAi and Amazon - OpenAI has signed a $38 billion deal with Amazon Web Services, and will immediately start accessing Nvidia's graphics processing units. - This is one of OpenAI's biggest moves away from Microsoft, which was the company's exclusive cloud provider until earlier this year. - The partnership gives OpenAI the flexibility to scale infrastructure through 2026 and beyond. - Under the agreement announced on Monday, OpenAI will immediately begin running workloads on AWS infrastructure, tapping hundreds of thousands of Nvidia's graphics processing units (GPUs) in the U.S., with plans to expand capacity in the coming years. - Amazon up another 5% Palantir Earnings - Palantir Technologies prelim Q3 $0.21 vs $0.17 FactSet Consensus; revs $1.18 bln vs $1.09 bln FactSet Consensus - Palantir Technologies sees Q4 revs $1.327-1.331 bln vs $1.18 bln FactSet Consensus - Stock up slightly - been on a rager lately.... ATH - Stock down 8% on Tuesday - most of the good news is priced in? AMD Earnings - Advanced Micro Devices beats by $0.03, beats on revs; guides Q4 revs above consensus (250.05 -9.60) - Reports Q3 (Sep) earnings of $1.20 per share, $0.03 better than the FactSet Consensus of $1.17; revenues rose 35.6% year/year to $9.25 bln vs the $8.

We were BUSY today, literally! A broadway performer ran the NYC marathon and then performed two back to back Broadway shows after so we asked you to tell us about your busiest day and honestly? The Broadway performer should be impressed by our callers. Also, we learned how you level up your friendships with your besties, and Whip takes the hot hammer to the Amazon Web Services outage in today's Hot Take. Catch up on everything you missed from today's show on The Morning Mix Podcast!Listen to The Morning Mix weekdays from 5:30am – 10:00am on 101.9fm The Mix in Chicago or with the free Mix App available in the Apple App Store and Google Play.Follow The Mix: The MixstagramGet the Free MIX App: Stream The MixSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

In an AI push, Amazon has already axed 14,000 jobs and that total is reportedly going to hit 30,000.

A massive outage of Amazon Web Services downed hundreds of popular websites and apps around the world. Ben Goggin from NBC News breaks down how the incident illustrates the interconnected nature of the modern internet. As authorities continue the search for the thieves who stole crown jewels from the Louvre, details on the brazen heist are coming to light. The Times reports. The Supreme Court heard arguments over whether drug users should be allowed to legally own guns. Maureen Groppe, Supreme Court reporter for USA Today, joins to discuss the case — and why the Trump administration is not on the side of gun owners in this time around. Plus, a federal court allowed Trump to send National Guard troops to Portland, how a new minerals deal between the U.S. and Australia relates to China, and the way new retinal-implant technology is helping some patients recover parts of their vision. Today’s episode was hosted by Shumita Basu.