Podcasts about Amazon Web Services

“Recognize your superpower” on the Daily Grind ☕️, your weekly goal-driven podcast. This episode features Kelly Johnson @kellyfastruns and special guest Robin Goad @fiftyfavoredfiguringitout, who is a powerhouse technology executive at Amazon Web Services (AWS), speaker, and coach who helps ambitious women master the corporate game without losing themselves. Your listeners who are professionals and industry experts would love Robin's insights on the "unwritten rulebook" of corporate success. She shares concrete strategies on Career Acceleration and how to build "Money, Power & Options".S8 Episode 30: 1/1/2025Featuring Kelly Johnson with Special Guest Robin GoadFollow Our Podcast:Instagram: @dailygrindpod https://www.instagram.com/dailygrindpod/  X: @dailygrindpod https://x.com/dailygrindpod Facebook: https://www.facebook.com/dailygrindpodTikTok: https://www.tiktok.com/@dailygrindpodPodcast Website: https://direct.me/dailygrindpod   Follow Our Special Guest:Website: https://www.therealrobingoad.com/Instagram: @fiftyfavoredfiguringitout

In this Greatest Hits episode of Tech Magic, hosts Cathy Hackl and Lee Kebler dive into the latest tech developments, from Meta's bold moves in AR to Apple's Vision Pro journey one year later. They highlight Meta's success with Ray-Ban AI glasses, Apple's challenges in AR innovation, and how creators are evolving into media moguls. Cathy also interviews special guest Jeff Barrett, who shares insights on building sustainable creator careers, the rise of nano-influencers, and the global expansion of digital content platforms. Whether you're into cutting-edge tech or the creator economy, this episode captures 2025's emerging trends.Come for the tech, stay for the magic!Cathy Hackl BioCathy Hackl is a globally recognized tech & gaming executive, futurist, and speaker focused on spatial computing, virtual worlds, augmented reality, AI, strategic foresight, and gaming platforms strategy. She's one of the top tech voices on LinkedIn and is the CEO of Spatial Dynamics, a spatial computing and AI solutions company, including gaming. Cathy has worked at Amazon Web Services (AWS), Magic Leap, and HTC VIVE and has advised companies like Nike, Ralph Lauren, Walmart, Louis Vuitton, and Clinique on their emerging tech and gaming journeys. She has spoken at Harvard Business School, MIT, SXSW, Comic-Con, WEF Annual Meeting in Davos 2023, CES, MWC, Vogue's Forces of Fashion, and more. Cathy Hackl on LinkedInSpatial Dynamics on LinkedInLee Kebler BioLee has been at the forefront of blending technology and entertainment since 2003, creating advanced studios for icons like will.i.am and producing music for Britney Spears and Big & Rich. Pioneering in VR since 2016, he has managed enterprise data at Nike, led VR broadcasting for Intel at the Japan 2020 Olympics, and driven large-scale marketing campaigns for Walmart, Levi's, and Nasdaq. A TEDx speaker on enterprise VR, Lee is currently authoring a book on generative AI and delving into splinternet theory and data privacy as new tech laws unfold across the US.Lee Kebler on LinkedInJeff Barrett BioJeff Barrett serves as the Chief Evangelist at the Shorty Awards, where he's been involved with the organization for 10 years. A former Shorty Award winner for Best Business Blogger, Barrett has evolved from a creator to an agency leader, demonstrating the possible progression within the creator economy. His journey began uniquely on MySpace and included creating a successful parody account on Twitter that inadvertently led to legitimate recognition in the marketing world. Barrett currently hosts the Shorty Awards show and runs a podcast called "It's No Fluke," which has produced over 130 episodes featuring leaders from major companies like Google, Meta, and the NFL.Jeff Barrett on LinkedInKey Discussion Topics00:00 - Intro & Tech News Overview02:50 - The Future of American XR: Competition and Innovation11:15 - Meta's Metaverse Strategy: Make or Break Year28:18 - Apple Vision Pro: One Year Later41:24 - Interview with Jeff Barrett: The Evolution of the Shorty Awards47:32 - The Creator Economy: Trends and Future Growth53:27 - Building Sustainable Creator-Brand Partnerships01:02:34 - Creator Identity & Platform Evolution01:07:55 - Final Thoughts & Media Recommendations Hosted on Acast. See acast.com/privacy for more information.

SentinelOne announced a series of new innovative designations and integrations with Amazon Web Services (AWS), designed to bring the full benefits of AI security to AWS customers today. From securing GenAI usage in the workplace, to protecting AI infrastructure to leveraging agentic AI and automation to speed investigations and incident response, SentinelOne is empowering organizations to confidently build, operate, and secure the future of AI on AWS. SentinelOne shares its vision for the future of AI-driven cybersecurity, defining two interlinked domains: Security for AI—protecting models, agents, and data pipelines—and AI for Security—using intelligent automation to strengthen enterprise defense. With its Human + AI approach, SentinelOne integrates generative and agentic AI into every layer of its platform. The team also unveils the next evolution of Purple AI, an agentic analyst delivering auto-investigations, hyperautomation, and instant rule creation—advancing toward truly autonomous security. Visit https://www.securityweekly.com/swn for all the latest episodes! Show Notes: https://securityweekly.com/swn-542

Explore how AI is transforming consumer goods execution with Arvind Mathur, AWS Executive in Residence, and Anupam Sinha, CEO and Co-founder of Vxceed. Anupam reveals how Consumer Packed Goods (CPG) companies are leveraging predictive AI, generative AI, and agentic AI to close the execution reality gap that has plagued traditional trade for decades—turning delayed insights into real-time market responsiveness. From preventing stock-outs to achieving autonomous trade promotion optimization, discover how forward-thinking leaders are protecting market share against digital-first insurgent brands penetrating traditional retail channels. Learn why your field execution strategy—powered by AI that delivers actionable intelligence—has become your most critical competitive advantage in markets where traditional trade still drives 95% of volume.

SentinelOne announced a series of new innovative designations and integrations with Amazon Web Services (AWS), designed to bring the full benefits of AI security to AWS customers today. From securing GenAI usage in the workplace, to protecting AI infrastructure to leveraging agentic AI and automation to speed investigations and incident response, SentinelOne is empowering organizations to confidently build, operate, and secure the future of AI on AWS. SentinelOne shares its vision for the future of AI-driven cybersecurity, defining two interlinked domains: Security for AI—protecting models, agents, and data pipelines—and AI for Security—using intelligent automation to strengthen enterprise defense. With its Human + AI approach, SentinelOne integrates generative and agentic AI into every layer of its platform. The team also unveils the next evolution of Purple AI, an agentic analyst delivering auto-investigations, hyperautomation, and instant rule creation—advancing toward truly autonomous security. Show Notes: https://securityweekly.com/swn-542

SentinelOne announced a series of new innovative designations and integrations with Amazon Web Services (AWS), designed to bring the full benefits of AI security to AWS customers today. From securing GenAI usage in the workplace, to protecting AI infrastructure to leveraging agentic AI and automation to speed investigations and incident response, SentinelOne is empowering organizations to confidently build, operate, and secure the future of AI on AWS. SentinelOne shares its vision for the future of AI-driven cybersecurity, defining two interlinked domains: Security for AI—protecting models, agents, and data pipelines—and AI for Security—using intelligent automation to strengthen enterprise defense. With its Human + AI approach, SentinelOne integrates generative and agentic AI into every layer of its platform. The team also unveils the next evolution of Purple AI, an agentic analyst delivering auto-investigations, hyperautomation, and instant rule creation—advancing toward truly autonomous security. Visit https://www.securityweekly.com/swn for all the latest episodes! Show Notes: https://securityweekly.com/swn-542

SentinelOne announced a series of new innovative designations and integrations with Amazon Web Services (AWS), designed to bring the full benefits of AI security to AWS customers today. From securing GenAI usage in the workplace, to protecting AI infrastructure to leveraging agentic AI and automation to speed investigations and incident response, SentinelOne is empowering organizations to confidently build, operate, and secure the future of AI on AWS. SentinelOne shares its vision for the future of AI-driven cybersecurity, defining two interlinked domains: Security for AI—protecting models, agents, and data pipelines—and AI for Security—using intelligent automation to strengthen enterprise defense. With its Human + AI approach, SentinelOne integrates generative and agentic AI into every layer of its platform. The team also unveils the next evolution of Purple AI, an agentic analyst delivering auto-investigations, hyperautomation, and instant rule creation—advancing toward truly autonomous security. Show Notes: https://securityweekly.com/swn-542

Anthropic's Tobias Harrison Noonan shares the enterprise AI playbook: why coding leads to broader AI adoption, practical tips for getting started, and why you shouldn't wait for perfection.Topics Include:Tobias from Anthropic's Applied AI team discusses enterprise AI adoption trends and insights.Anthropic founded four years ago balancing AI safety mission with world's most intelligent models.Remarkable velocity: Claude 3.7 and Claude Code both shipped just in 2025 alone.Three-layer partnership: foundation models, enterprise capabilities, and end-user platforms like Claude Code.Anthropic leads in agentic coding for eighteen months, now number one enterprise AI market share.Claude Opus 4.5 launched last week, again tops software engineering benchmark for complex tasks.Claude Code enables thirty-hour autonomous coding sessions, ships features five times faster than before.Next frontier expands beyond coding into data-heavy knowledge work like financial and legal analysis.AI adoption maturity curve: employee workflows, internal processes, core products, then AI-native products.Thomson Reuters started with Claude Code for development team doing code modernization and refactoring.They expanded to Claude.ai for sales, marketing, and finance teams after seeing tangible ROI.Built Claude into core products including co-counsel legal platform and fraud prevention systems strategically.Today Thomson Reuters has eight different product lines powered by Claude across their portfolio.AWS partnership offers safe, secure, scalable deployment from POC to production in existing environments.Don't wait for perfection: AI today is dumbest it'll ever be, start prototyping now.Participants:Tobias Harrison-Noonan: Member of Technical Staff, AnthropicSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

As electricity demand from data centers continues to surge, a persistent question has dogged the industry: Are residential ratepayers footing the bill for massive tech infrastructure? According to Amazon Web Services (AWS) and an independent study it commissioned, the answer is a definitive no. As a guest on The POWER Podcast, Mandy Ulrich, senior manager of energy and water for Americas East at AWS, outlined the company's energy strategy and discussed findings from a study by Energy and Environmental Economics Inc. (E3) that examined how Amazon data centers impact local power systems. Study Finds Data Centers Generate Surplus Revenue The E3 study evaluated Amazon data centers across a diverse set of utility territories, including large investor-owned utilities such as Pacific Gas and Electric (PG&E) and Dominion Energy, mid-size utilities like Entergy, and cooperatives such as Umatilla Electric Cooperative in the Pacific Northwest. “The simple answer is that Amazon data centers are not being subsidized by other utility customers,” Ulrich said. The study projects that Amazon's data centers will generate $33,500/MW of surplus value in 2025, increasing to $60,650/MW by 2030. For a typical 100-MW Amazon data center, that translates to $3.4 million in surplus revenues in 2025 and approximately $6.1 million by 2030. These surplus funds—revenues above the utility's regulated rate of return—can be used by utilities to modernize grid infrastructure, improving reliability for all customers. Grid Investment Benefits All Customers The study found that Amazon data centers are driving investments in grid infrastructure that support not just their own operations but also local residential and commercial growth. Ulrich pointed to Entergy Mississippi as a prime example, where the utility is using investments from Amazon and other large customers to fund a $300 million “Superpower Mississippi” grid reliability campaign—at no cost to residential customers—targeting a 50% reduction in outages within five years. Innovative Rate Structures Prevent Cost-Shifting While the E3 study validates that existing rate policies have been effective in preventing cross-subsidization, Ulrich emphasized that AWS continues to work with utilities on innovative approaches to ensure large industrial customers pay their fair share. She highlighted a Northern Indiana Public Service Co. (NIPSCO) project as a “groundbreaking model.” Under this first-of-its-kind agreement, Amazon is investing in 3 GW of electrical capacity, with 2.4 GW dedicated to data center operations and 600 MW reserved specifically to support grid reliability for all NIPSCO customers. The structure creates a separate generation company (GenCo) that operates under a “commercial contract term,” Ulrich explained. By operating as a separate entity, GenCo isolates the cost of new growth to data centers. “The data center companies that drive new demand for electricity will fund the generation and transmission infrastructure they require, ensuring that regular customers don't shoulder those costs, even if the customer leaves before contract completion,” NIPSCO said in a Nov. 24 press release. “NIPSCO's existing customers will have no financial responsibility for powering Amazon data centers,” Ulrich said. NIPSCO said, “This structure is expected to provide value to customers by generating approximately $1 billion in cost savings that will be returned to current NIPSCO customers as credits on monthly electric bills over the project's 15-year duration.”

BONUS: The Operating System for Software-Native Organizations - The Five Core Principles In this BONUS episode, the final installment of our Special Xmas 2025 reflection on Software-native businesses, we explore the five fundamental principles that form the operating system for software-native organizations. Building on the previous four episodes, this conversation provides the blueprint for building organizations that can adapt at the speed of modern business demands, where the average company lifespan on the S&P 500 has dropped from 33 years in the 1960s to a projected 12 years by 2027. The Challenge of Adaptation "What we're observing in Ukraine is adaptation happening at a speed that would have been unthinkable in traditional military contexts - new drone capabilities emerge, countermeasures appear within days, and those get countered within weeks." The opening draws a powerful parallel between the rapid adaptation we're witnessing in drone warfare and the existential threats facing modern businesses. While our businesses aren't facing literal warfare, they are confronting dramatic disruption. Clayton Christensen documented this in "The Innovator's Dilemma," but what he observed in the 1970s and 80s is happening exponentially faster now, with software as the accelerant. If we can improve businesses' chances of survival even by 10-15%, we're talking about thousands of companies that could thrive instead of fail, millions of jobs preserved, and enormous value created. The central question becomes: how do you build an organization that can adapt at this speed? Principle 1: Constant Experimentation with Tight Feedback Loops "Everything becomes an experiment. Not in the sense of being reckless or uncommitted, but in being clear about what we're testing and what we expect to learn. I call this: work like a scientist: learning is the goal." Software developers have practiced this for decades through Test-Driven Development, but now this TDD mindset is becoming the ruling metaphor for managing products and entire businesses. The practice involves framing every initiative with three clear elements: the goal (what are we trying to achieve?), the action (what specific thing will we do?), and the learning (what will we measure to know if it worked?). When a client says "we need to improve our retrospectives," software-native organizations don't just implement a new format. Instead, they connect it to business value - improving the NPS score for users of a specific feature by running focused retrospectives that explicitly target user pain points and tracking both the improvements implemented and the actual NPS impact. After two weeks, you know whether it worked. The experiment mindset means you're always learning, never stuck. This is TDD applied to organizational change, and it's powerful because every process change connects directly to customer outcomes. Principle 2: Clear Connection to Business Value "Software-native organizations don't measure success by tasks completed, story points delivered, or features shipped. Or even cycle time or throughput. They measure success by business outcomes achieved." While this seems obvious, most organizations still optimize for output, not outcomes. The practice uses Impact Mapping or similar outcome-focused frameworks where every initiative answers three questions: What business behavior are we trying to change? How will we measure that change? What's the minimum software needed to create that change? A financial services client wanted to "modernize their reporting system" - a 12-month initiative with dozens of features in project terms. Reframed through a business value lens, the goal became reducing time analysts spend preparing monthly reports from 80 hours to 20 hours, measured by tracking actual analyst time, starting with automating just the three most time-consuming report components. The first delivery reduced time to 50 hours - not perfect, but 30 hours saved, with clear learning about which parts of reporting actually mattered. The organization wasn't trying to fulfill requirements; they were laser focused on the business value that actually mattered. When you're connected to business value, you can adapt. When you're committed to a feature list, you're stuck. Principle 3: Software as Value Amplifier "Software isn't just 'something we do' or a support function. Software is an amplifier of your business model. If your business model generates $X of value per customer through manual processes, software should help you generate $10X or more." Before investing in software, ask whether this can amplify your business model by 10x or more - not 10% improvement, but 10x. That's the threshold where software's unique properties (zero marginal cost, infinite scale, instant distribution) actually matter, and where the cost/value curve starts to invert. Remember: software is still the slowest and most expensive way to check if a feature would deliver value, so you better have a 10x or more expectation of return. Stripe exemplifies this principle perfectly. Before Stripe, accepting payments online required a merchant account (weeks to set up), integration with payment gateways (months of development), and PCI compliance (expensive and complex). Stripe reduced that to adding seven lines of code - not 10% easier, but 100x easier. This enabled an entire generation of internet businesses that couldn't have existed otherwise: subscription services, marketplaces, on-demand platforms. That's software as amplifier. It didn't optimize the old model; it made new models possible. If your software initiatives are about 5-10% improvements, ask yourself: is software the right medium for this problem, or should you focus where software can create genuine amplification? Principle 4: Software as Strategic Advantage "Software-native organizations use software for strategic advantage and competitive differentiation, not just optimization, automation, or cost reduction. This means treating software development as part of your very strategy, not a way to implement a strategy that is separate from the software." This concept, discussed with Tom Gilb and Simon Holzapfel on the podcast as "continuous strategy," means that instead of creating a strategy every few years and deploying it like a project, strategy and execution are continuously intertwined when it comes to software delivery. The practice involves organizing around competitive capabilities that software uniquely enables by asking: How can software 10x the value we generate right now? What can we do with software that competitors can't easily replicate? Where does software create a defensible advantage? How does our software create compounding value over time? Amazon Web Services didn't start as a product strategy but emerged from Amazon building internal capabilities to run their e-commerce platform at scale. They realized they'd built infrastructure that was extremely hard to replicate and asked: "What if we offered it to others?" AWS became Amazon's most profitable business - not because they optimized their existing retail business, but because they turned an internal capability into a strategic platform. The software wasn't supporting the strategy - the software became the strategy. Compare this to companies that use software just for cost reduction or process optimization - they're playing defense. Software-native companies use software to play offense, creating capabilities that change the competitive landscape. Continuous strategy means your software capabilities and your business strategy evolve together, in real-time, not in annual planning cycles. Principle 5: Real-Time Observability and Adaptive Systems "Software-native organizations use telemetry and real-time analytics not just to understand their software, but to understand their entire business and adapt dynamically. Observability practices from DevOps are actually ways of managing software delivery itself. We're bootstrapping our own operating system for software businesses." This principle connects back to Principle 1 but takes it to the organizational level. The practice involves building systems that constantly sense what's happening and can adapt in real-time: deploy with feature flags so you can turn capabilities on/off instantly, use A/B testing not just for UI tweaks but for business model experiments, instrument everything so you know how users actually behave, and build feedback loops that let the system respond automatically. Social media companies and algorithmic trading firms already operate this way. Instagram doesn't deploy a new feed algorithm and wait six months to see if it works - they're constantly testing variations, measuring engagement in real-time, adapting the algorithm continuously. The system is sensing and responding every second. High-frequency trading firms make thousands of micro-adjustments per day based on market signals. Imagine applying this to all businesses: a retail company that adjusts pricing, inventory, and promotions in real-time based on demand signals; a healthcare system that dynamically reallocates resources based on patient flow patterns; a logistics company whose routing algorithms adapt to traffic, weather, and delivery success rates continuously. This is the future of software-native organizations - not just fast decision-making, but systems that sense and adapt at software speed, with humans setting goals and constraints but software executing continuous optimization. We're moving from "make a decision, deploy it, wait to see results" to "deploy multiple variants, measure continuously, let the system learn." This closes the loop back to Principle 1 - everything is an experiment, but now the experiments run automatically at scale with near real-time signal collection and decision making. It's Experiments All The Way Down "We established that software has become societal infrastructure. That software is different - it's not a construction project with a fixed endpoint; it's a living capability that evolves with the business." This five-episode series has built a complete picture: Episode 1 established that software is societal infrastructure and fundamentally different from traditional construction. Episode 2 diagnosed the problem - project management thinking treats software like building a bridge, creating cascade failures throughout organizations. Episode 3 showed that solutions already exist, with organizations like Spotify, Amazon, and Etsy practicing software-native development successfully. Episode 4 exposed the organizational immune system - the four barriers preventing transformation: the project mindset, funding models, business/IT separation, and risk management theater. Today's episode provides the blueprint - the five principles forming the operating system for software-native organizations. This isn't theory. This is how software-native organizations already operate. The question isn't whether this works - we know it does. The question is: how do you get started? The Next Step In Building A Software-Native Organization "This is how transformation starts - not with grand pronouncements or massive reorganizations, but with conversations and small experiments that compound over time. Software is too important to society to keep managing it wrong." Start this week by doing two things.  First, start a conversation: pick one of these five principles - whichever resonates most with your current challenges - and share it with your team or leadership. Don't present it as "here's what we should do" but as "here's an interesting idea - what would this mean for us?" That conversation will reveal where you are, what's blocking you, and what might be possible.  Second, run one small experiment: take something you're currently doing and frame it as an experiment with a clear goal, action, and learning measure. Make it small, make it fast - one week maximum, 24 hours if you can - then stop and learn. You now have the blueprint. You understand the barriers. You've seen the alternatives. The transformation is possible, and it starts with you. Recommended Further Reading Tom Gilb and Simon Holzapfel episodes on continuous strategy  The book by Christensen, Clayton: "The Innovator's Dilemma"  The book by Gojko Adzic: Impact Mapping  Ukraine drone warfare Company lifespan statistics: Innosight research on S&P 500 turnover  Stripe's impact on internet businesses Amazon AWS origin story DevOps observability practices About Vasco Duarte Vasco Duarte is a thought leader in the Agile space, co-founder of Agile Finland, and host of the Scrum Master Toolbox Podcast, which has over 10 million downloads. Author of NoEstimates: How To Measure Project Progress Without Estimating, Vasco is a sought-after speaker and consultant helping organizations embrace Agile practices to achieve business success. You can link with Vasco Duarte on LinkedIn.

Alphabet heeft energiebedrijf Intersect Power voor omgerekend 4,3 miljard euro overgenomen. Met de wind- en zonneparken die Intersect Power speciaal voor datacenters bouwt, wil het moederbedrijf van Google datacenters sneller van stroom kunnen voorzien. Niels Kooloos vertelt erover in deze Tech Update. De overname van Intersect moet Alphabet 'wendbaarder' maken bij de bouw van nieuwe energiecentrales, volgens Alphabet- en Google-topman Sunder Pichai. Nu is Alphabet nog aangewezen op traditionele energieleveranciers, die al moeite hebben om de sterk toegenomen vraag naar stroom bij te benen. Dat Alphabet ervoor kiest om een energiebedrijf in zijn geheel op te kopen, is opvallend. Microsoft en Amazon Web Services, die gelden als de grootste concurrenten van Alphabet, doen dat niet en sluiten langdurige energiecontracten af met energiebedrijven om hun datacenters van stroom te voorzien. De overname van Intersect Power moet nog goedgekeurd worden door toezichthouders. Verder in deze Tech Update: Apple gaat in beroep tegen een boete van bijna 100 miljoen euro van de Italiaanse concurrentiewaakhond De aandeelhouders van Electronic Arts (EA) hebben definitief ingestemd met de verkoop van het bedrijf aan onder andere Saoedi-Arabië See omnystudio.com/listener for privacy information.

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

Straight from re:Invent 2025, technology leaders from C3 AI, nCino, New Relic and Vercel reveal learnings, best practices and predictions for the future of Agentic AI.Topics Include:Four technology executives introduce their companies' AI innovations in fintech, cloud, enterprise software, and observability.Vercel built agents for code reviews, infrastructure optimization, and across finance, sales, and support functions.C3.ai deploys enterprise AI applications from scratch to production in six months for Fortune 500s.New Relic provides observability for AI systems and built agents that resolve infrastructure issues in real-time.Vercel's agents improve code quality by incorporating security and framework best practices into AI-generated output.C3.ai partnered with Department of Defense to autonomously produce mission-critical intelligence assessment reports from data.Industry shifted from copilots everywhere to agents that actually own outcomes and land the plane.New Relic moved beyond natural language translation to agents that execute actions and resolve issues autonomously.Panel debates whether Model Context Protocol or broader ecosystem approaches better enable agent interoperability and communication.Autonomy requires accountability: agent decisions must be explainable with traceable steps and replay capabilities built-in.Governance and security should be prerequisites for acceleration, not impediments—a critical mental model shift needed.Many enterprises struggle with process bottlenecks preventing them from harnessing high-quality agents despite having technology.Financial services must carefully balance where human discretion remains essential versus where agent autonomy justified.Will Jung envisions deeply continuous context enabling banks to deliver truly personalized insights without appearing creepy.Suraj Krishnan predicts agents will own outcomes by 2026, coordinating tools and other agents to achieve goals.Participants:Panelist: Merel Witteveen, SVP of Operations, C3.aiPanelist: Will Jung, Chief Technology Officer, nCinoPanelist: Suraj Krishnan, GVP of Engineering, New RelicPanelist: Aparna Sinha, Senior Vice President, Product, VercelModerator: Olawale Oladehin, Managing Director, NAMER Technology Segments (Enterprise, ISV, DNB, and Model Providers), 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 Bidemi a Text Message!In this episode, host Bidemi Ologunde spoke with Bruce Johnson of TekStream Solutions to unpack how the Whole of State initiative—with the Louisiana State University, Splunk, and Amazon Web Services—is turning classrooms into 24/7, student-powered SOCs that launch graduates into mid-level roles. With nearly four decades in IT security, Bruce shares how opening the door to any discipline builds stronger teams and real-world readiness. How do these student SOCs keep organizations safe while students learn? What does a typical shift and escalation look like? Can a philosophy or nursing major really become an analyst? How is success measured—placements, detection speed, or something else? Where does AI help without replacing humans? And what changed as the model expanded to New Jersey Institute of Technology and Louisiana Tech University?Support for The Bid Picture Podcast comes from Black Rifle Coffee Company, a veteran-founded coffee brand roasting premium beans for people who love a strong start to the day. From bold blends to convenient ready-to-drink cans, Black Rifle Coffee keeps you fueled for whatever's ahead. Check them out at blackriflecoffee.com.Support for The Bid Picture Podcast comes from GymShark, performance apparel designed for people who take their training seriously. With gym-ready fits that move with you, GymShark helps you stay focused from warm-up to cooldown. Explore their latest drops at gymshark.com.Support for The Bid Picture Podcast comes from Uncommon Goods, an online marketplace filled with unique, independently made gifts. From clever gadgets to handcrafted home goods, Uncommon Goods helps you find something thoughtful for everyone on your list. Learn more at uncommongoods.com.Support the show

How will agentic AI reshape tomorrow's workforce? Join AWS Executives in Residence Stephen Brozovich, Jake Burns, and Miriam McLemore for a look at how agentic AI is changing entire enterprises—not just IT departments. Unlike previous technology shifts, agentic AI demands integrated cross-functional teams and a fundamental rethinking of competitive advantage. Our experts share candid thoughts on upskilling existing employees over hiring new talent, transforming data from siloed assets into accessible strategic resources, and building authentic experimentation cultures where leadership genuinely rewards risk-taking. Discover why your proprietary data—not the AI technology itself—will become your key differentiator, and learn how to build the agile, integrated teams essential for AI implementation success.

December 2025 Sustainable Stock and ETF Picks. Covers America's most responsible companies, AI infrastructure and renewable energy stocks, and more. By Ron Robins, MBA Transcript & Links, Episode 162, December 19, 2025 Hello, Ron Robins here. Welcome to my podcast episode 162, published on December 19, 2025, titled "December 2025 Sustainable Stock and ETF Picks." This podcast is presented by Investing for the Soul. Investingforthesoul.com is your go-to site for vital global, ethical, and sustainable investing mentoring, news, commentary, information, and resources. Remember that you can find a full transcript and links to content, including stock symbols and bonus material, on this episode's podcast page at investingforthesoul.com/podcasts. Also, a reminder. I do not evaluate any of the stocks or funds mentioned in these podcasts, and I don't receive any compensation from anyone covered in these podcasts. Furthermore, I will reveal any investments I have in the investments mentioned herein. I have a great crop of 8 articles for you in this podcast! Note: Some companies are covered more than once. ------------------------------------------------------------- December 2025 Sustainable Stock and ETF Picks (1) In this edition, I'm starting with a ranking of responsible companies. It's titled America's Most Responsible Companies 2026 on rankings.newsweek.com. It's by Newsweek and Statista. Here are some quotes from the introduction by Jennifer H. Cunningham. "According to a study by The Roundup, 84 percent of customers say that they are deterred from companies with poor environmental practices, and 62 percent 'always or often' specifically look for products that are sustainable. That is why Newsweek is proud to partner with Statista for the seventh time to present America's Most Responsible Companies 2026, highlighting 600 companies that are taking action each day to uphold their social responsibility.  This ranking is built on an evaluation of company CSR/ESG or sustainability reports, financial reports, history of lawsuits and 2024 top polluter indexes from the Political Economy Research Institute. Additionally, over 30 KPIs were researched from the three areas of ESG—environmental, social and governance performance. Companies included in this ranking are American Tower (AMT), Ingersoll Rand (IR), Las Vegas Sands (LVS), NVIDIA (NVDA), and Tapestry (TPR )." End quotes The top five companies in the ranking are NVIDIA (NVDA), Mastercard (MA), Palo Alto Networks (PANW), Ecolab (ECL), and T-Mobile (TMUS). ------------------------------------------------------------- December 2025 Sustainable Stock and ETF Picks (2) As renewable energy companies make gains, this article reviews some top companies in the sector. The article is titled Top 7 companies offering digital transformation solutions for renewable energy on azbigmedia.com. It's by Eric Kelly. Here are some of his comments. "1. DXC Technology (DXC) builds Distributed Energy Resource Management Systems – DERMS for short. What that means in plain English: software that can juggle thousands of solar panels, wind turbines, and batteries at once. Their renewable energy digital services do real-time forecasting and balancing. When a cloud covers a solar farm, the system already knows and has adjusted before anyone notices a flicker. They use predictive analytics to figure out what's going to happen hours or days ahead, which matters when you're trying to keep the lights on for millions of people. 2. Siemens Energy (ENR.DE) Their Omnivise Digital Solutions covers pretty much everything – from the moment you build a power plant to the day you tear it down decades later. They make distributed control systems that pull data from every sensor, every turbine, every transformer, and show it all in one place. What's interesting is their edge computing for substations. Instead of sending all data to some central cloud and waiting for instructions, the processing happens right there on-site. Milliseconds matter when you're managing a grid. Siemens is also deep into green hydrogen tech. They're working on projects in over 100 countries and their equipment generates about half the world's electricity. 3. Schneider Electric (SU.PA) built EcoStruxure. It connects hardware, software, and services to optimize energy use in buildings, factories, and grids. Their new One Digital Grid Platform uses AI to manage planning, operations, and asset management all in one place. The AI automatically catches when the digital model of a grid doesn't match reality – like when someone forgot to update the system after installing new equipment. Sounds simple, but that kind of mismatch causes real problems. 4. ABB (ABBNY) make robotic systems for manufacturing solar panels, complete instrumentation packages for solar and wind plants, and the smart grid systems that tie it all together. Their battery storage solutions are particularly interesting. BESS-as-a-Service means companies can use battery systems without buying them outright. For industrial users trying to cut electricity costs during peak hours, that's huge. You get energy independence without the capital expenditure. ABB supplies converters for the world's biggest offshore wind farms and generators for hydroelectric plants. 5. GE Vernova (GEV) is the spinoff from General Electric that focuses purely on power generation and grid management. They generate about 25% of the world's electricity through their installed base of 2200 GW worth of equipment.  Their Grid Orchestration Software uses AI to predict demand, optimize energy flow, and integrate all those distributed resources we keep talking about. Their Advanced Asset Performance Management system pulls data from information systems, operational systems, and engineering models to help people make faster decisions. GE Vernova partnered with Amazon Web Services to accelerate cloud migration and bring generative AI into energy infrastructure. 6. IBM Energy and Utilities (IBM) brings Watson and AI expertise to energy. Their Maximo platform manages assets, and Watson handles the heavy data analytics. They're using AI to forecast renewable energy production, optimize maintenance schedules, and manage distributed resources. IBM is also experimenting with quantum computing for modeling complex energy systems. Their blockchain platforms enable peer-to-peer energy trading – imagine selling excess solar power from your roof directly to your neighbor. They build digital twins that simulate how turbines, transformers, and entire grids will behave under different conditions. 7. Accenture (ACN) isn't selling hardware or software directly. They're consultants who help energy companies figure out their entire digital transformation strategy. Sometimes the problem isn't technology – it's knowing which technology to use and how to implement it without disrupting your business. They work with industry leaders on IoT, Big Data, AI, and cloud solutions. Their approach covers operational excellence, asset management, customer experience, and decarbonization. Renewable energy digital services from Accenture include predictive maintenance for wind and solar farms, platforms for managing virtual power plants, and real-time carbon emission monitoring. They also help companies integrate ESG principles into operations and reporting." End quotes. ------------------------------------------------------------- December 2025 Sustainable Stock and ETF Picks (3) This next article is titled Zacks Industry Outlook Highlights Bloom Energy, OPAL Fuels and FuelCell on finance.yahoo.com. It's by Zacks Equity Research. Now, some quotes from the article. "1. FuelCell Energy (FCEL) Based in Danbury, CT, the company makes ultra-clean, highly efficient power plants that can run on fuels like renewable biogas and natural gas, producing electricity with far less pollution and fewer greenhouse gas emissions than conventional fossil-fuel plants. In September 2025, the company announced its fiscal third-quarter results. The company reported a loss of 95 cents per share, which improved 45% year over year. The company's top line also improved 97% year over year to $46.74 million. The Zacks Consensus Estimate for FuelCell Energy's fiscal 2026 sales implies an improvement of 21.5% year over year. The consensus estimate for fiscal 2026 earnings implies 51.3% growth year over year. The company currently carries a Zacks Rank #2 (Buy). 2. OPAL Fuels (OPAL) Based in New York, the company is a vertically integrated renewable fuels platform involved in the production and distribution of renewable natural gas for the heavy-duty truck market. During the third quarter, the company produced renewable natural gas of nearly 1.3 million Metric Million British Thermal units (MMBtu), which was up 30% year over year. The Fuel Station Services segment sold, dispensed, and serviced an aggregate of 38.9 million GGEs of transportation fuel for the three months ended Sept. 30, 2025, reflecting an increase of 1% year over year. The Zacks Consensus Estimate for the company's 2025 sales implies an improvement of 21.8% from the previous year's reported figure. The estimate for 2025 earnings implies 128.6% growth from the previous year's reported figure. The company currently carries a Zacks Rank #2. 3. Bloom Energy (BE) Based in San Jose, CA, the company generates and distributes renewable energy. On Oct. 28, 2025, Bloom Energy announced its third-quarter results. It reported earnings of 15 cents per share against a loss of a cent in the year-ago quarter. The company's top line also improved 57.3% year over year to $519 million. The Zacks Consensus Estimate for 2025 sales implies an improvement of 28.6% from the previous year's reported figure. The consensus estimate for 2025 earnings implies 92.9% growth from the previous year's reported figure. The company currently carries a Zacks Rank #3 (Hold)." End quotes. ------------------------------------------------------------- December 2025 Sustainable Stock and ETF Picks (4) This final review article makes a bold prediction on an AI infrastructure stock. The article is titled Prediction: This AI Infrastructure Stock Could Hit a $500 Billion Valuation by 2032 on fool.com and is by Thomas Niel. Here are some quotes from Mr. Neil's article. "Arista Networks (ANET) A top provider of cloud networking solutions for end-users such as AI data centers, the company has already benefited greatly from this trend. Already a strong performer over the past five years, its shares may be in for further outsized price appreciation in the years ahead, as the AI growth trend persists. How Arista benefits from the AI buildout Arista Networks has been in business for over 20 years, becoming a billion-dollar business around 10 years ago. Still, it's only been over the past three years that the company experienced a sustained growth resurgence. The reason for this is hardly a mystery. In late 2022, ChatGPT launched, sparking the start of the genAI growth trend. Soon after, tech companies, especially the largest names in the space, began to deploy hundreds of billions of dollars into building out their AI infrastructures. With this booming surge in demand, it's no surprise that Arista Networks has benefited from a big jump in demand for networking hardware, like switches and routers, as well as the software used to power them… This rapid revenue growth has brought with it a correspondingly high rate of earnings growth… Next stop $500 billion? It's possible At current prices, Arista Networks has a market cap of around $161.3 billion. To reach a $500 billion market cap and a share price of around $400 within six years, at a minimum, Arista will need to sustain 20% annualized growth… The bottom line for new or existing Arista Networks investors Currently, Arista has a forward price-to-earnings (P/E) ratio of just under 40. In the years ahead, even if annual growth stays around 20%, shares could experience a slight de-rating as investors anticipate a growth slowdown over a longer time frame… Rather than entering or adding to a position at any price, you may want to wait for renewed worries about an AI bubble or whitebox competition to create new buy-the-dip situations." End quotes. ------------------------------------------------------------- More articles from around the world with Sustainable Investment Picks for December 2025. 1. Title: Sustainability ETFs Still Shining Despite Investor Pullback. Here are the 4 Largest on thedailyupside.com. By Kiran Aditham. 2. Title: Better AI Infrastructure Stock: Nebius Group vs. Iren Limited on fool.com. By Patrick Sanders. 3. Title: FCEL vs. BE: Which Hydrogen Power Stock Has Better Potential for Now? On nasdaq.com. By Jewel Saha for Zacks. 4. Title: EQR Named A Top Socially Responsible Dividend Stock on nasdaq.com. By BNK Invest. ------------------------------------------------------------- Ending Comment These are my top news stories with their stock and fund tips for this podcast, "December 2025 Sustainable Stock and ETF Picks." Please click the like and subscribe buttons wherever you download or listen to this podcast. That helps bring these podcasts to others like you. And please click the share buttons to share this podcast with your friends and family. Let's promote ethical and sustainable investing as a force for hope and prosperity in these tumultuous times! Contact me if you have any questions. I wish you a wonderful time over the holidays and a terrific and prosperous 2026! Thank you for listening. My next podcast will be on January 23rd. See you then. Bye for now   © 2025 Ron Robins, Investing for the Soul

In this Greatest Hits episode of TechMagic, hosts Cathy Hackl and Adam Davis McGee dive into the cutting edge of spatial computing, AI, and extended reality. Join Cathy and Adam as they unpack Meta's XR partnership with Palmer Luckey, Snap's smart glasses ambitions, and Apple's sleek AR design strategy. Cathy dives into the strange world of vibe coding and discovers anyone can gamify the pitfalls of the dating scene. The conversation also explores AI dating experiments, haptic tech in entertainment, and the evolving ethics of privacy in a spatially connected world. With insights from AWE and ILMxLAB, they reflect on the shift from storytelling to “story living” and highlight key legislation shaping AI security. A must-listen for anyone tracking the future of tech-human interaction.Come for the tech, stay for the magic!Cathy Hackl BioCathy Hackl is a globally recognized tech & gaming executive, futurist, and speaker focused on spatial computing, virtual worlds, augmented reality, AI, strategic foresight, and gaming platforms strategy. She's one of the top tech voices on LinkedIn and is the CEO of Spatial Dynamics, a spatial computing and AI solutions company, including gaming. Cathy has worked at Amazon Web Services (AWS), Magic Leap, and HTC VIVE and has advised companies like Nike, Ralph Lauren, Walmart, Louis Vuitton, and Clinique on their emerging tech and gaming journeys. She has spoken at Harvard Business School, MIT, SXSW, Comic-Con, WEF Annual Meeting in Davos 2023, CES, MWC, Vogue's Forces of Fashion, and more. Cathy Hackl on LinkedInSpatial Dynamics on LinkedInLee Kebler BioLee has been at the forefront of blending technology and entertainment since 2003, creating advanced studios for icons like Will.i.am and producing music for Britney Spears and Big & Rich. Pioneering in VR since 2016, he has managed enterprise data at Nike, led VR broadcasting for Intel at the Japan 2020 Olympics, and driven large-scale marketing campaigns for Walmart, Levi's, and Nasdaq. A TEDx speaker on enterprise VR, Lee is currently authoring a book on generative AI and delving into splinternet theory and data privacy as new tech laws unfold across the US.Lee Kebler on LinkedInAdam Davis-McGee BioAdam Davis-McGee is a dynamic Creative Director and Producer specializing in immersive storytelling across XR and traditional media. As Senior Producer at Journey, he led the virtual studio, pioneering cutting-edge virtual experiences. He developed a Web3 playbook for Yum! Brands, integrating blockchain and NFT strategies. At Condé Nast, Adam produced engaging video content for Wired and Ars Technica, amplifying digital storytelling. His groundbreaking XR journalism project, In Protest: Grassroots Stories from the Frontlines (Oculus/Meta), captured historic moments in VR. Passionate about pushing creative boundaries, Adam thrives on crafting innovative narratives that captivate audiences worldwide.Adam Davis-McGee on LinkedInKey Discussion Topics:00:00 Intro: Welcome to Tech Magic with Cathy Hackl06:33 Meta's Eagle Eye: Military XR Partnership with Palmer Luckey14:05 Apple's Liquid Glass: Paving the Way for AR Glasses17:25 Haptic Innovation: Apple's F1 Movie Trailer Experience19:18 Human vs AI: Why F1 Racing Needs the Human Element22:27 Browser History Dating: AI's Latest Match-Making Experiment26:27 Snap's Vision: Consumer Smart Glasses Coming in 202631:27 From Storytelling to Story Living: ILMxLAB's Immersive Future33:54 Closing Thoughts: Summer Break Announcement Hosted on Acast. See acast.com/privacy for more information.

It is not an understatement to say that AI has revolutionized virtually every aspect of human life. What should characterize a Christian posture towards AI? Should we be concerned? Optimistic? How do we think biblically about it the emergence of new AI technology? In this unique episode, Sean is joined by three Biola/Talbot professors who are experts in their fields and in AI: Yohan Lee, Associate Dean of Technology and Professor of Computer Science; Michael Arena, Dean of Biola's Crowell School of Business; and Mihretu Guta, Professor of Philosophy and Apologetics. Mihretu P. Guta, Ph.D. (Philosophy at Durham University, UK). After completing his Ph.D., he worked as a Postdoctoral Research Fellow at Durham University within the Durham Emergence Project which was set up with cooperation between physicists and philosophers and funded by the John Templeton Foundation. Guta's postdoctoral research focused on the nature of the emergence of the phenomenal consciousness taken from the standpoint of metaphysics, philosophy of mind, cognitive neuroscience and quantum physics. Dr. Yohan Lee has led advanced technology organizations for over 20 years in commercial industry, education, and government. He has been privileged to serve as a civil scientist (U.S. National Institutes of Health), Principal Investigator (Google AI), Chief Science Officer (Riiid Labs, Inc.), and CEO (Scaled Entelechy, Inc). His undergraduate and doctoral studies were at UCLA in neuroscience and genomics with a focus on the neurological basis of learning and memory in addition to precision medicine. His doctoral work centered on large scale genomic data for health and distributed computing. In his corporate role, Dr. Lee has led research and business units in industry, public-private partnerships, the federal government, and international academic consortia for enterprise initiatives with Fortune 50 corporations. Michael Arena, Ph.D., is the dean of the Crowell School of Business at Biola University. He is also the chief science officer and co-founder of the Connected Commons, a research consortium that brings together business and academic thought leaders to develop and apply organizational network solutions. Prior to joining Biola, he served as the vice president of talent and development at Amazon Web Services (AWS), where he leveraged network analysis to enable employee growth, organizational culture and innovation. Arena was also the chief talent officer for General Motors Corporation where he helped to facilitate a business transformation, which is highlighted in his book Adaptive Space. Arena also spent two years as a visiting scientist with MIT's Media Lab researching human networks and acted as a design thinking coach within the Stanford School for three years. ==========Think Biblically: Conversations on Faith and Culture is a podcast from Talbot School of Theology at Biola University, which offers degrees both online and on campus in Southern California. Find all episodes of Think Biblically at: https://www.biola.edu/think-biblically. To submit comments, ask questions, or make suggestions on issues you'd like us to cover or guests you'd like us to have on the podcast, email us at thinkbiblically@biola.edu.

The head of Amazon Web Services has big plans to offer AI tools to businesses, but says that replacing coders with AI is “a non-starter for anyone who's trying to build a long-term company.” Katie sits down to discuss German's vision, and why Amazon could be a dark horse in the AI race. Join WIRED's best and brightest on Uncanny Valley as they dissect the collision of tech, politics, finance, and business, from Alexis Ohanian's newest tech venture to the effects of inaccurate information from artificial intelligence (AI) chatbots on social protests. Learn about your ad choices: dovetail.prx.org/ad-choices

Four enterprise AI leaders from Box, Snorkel AI, Sumo Logic, and Talkdesk peel away the hype and share battle-tested strategies for implementing agentic AI at scale.Topics Include:Carol Potts introduces panel featuring AI leaders from Box, Snorkel AI, Sumo Logic, and TalkdeskDiego Dugatkin explains Box serves 120,000 enterprise customers with 1.5 exabytes of secure cloud contentKui Jia shares Sumo Logic processes petabytes daily across 10 AWS regions for intelligent operationsYunjing Ma describes Talkdesk's evolution from contact center to customer experience automation through agentic AIDennis Panos positions Snorkel AI as leader in embedding human knowledge into data-centric applicationsDiego reveals Box uses AI internally for faster development and externally for metadata extraction automationKui explains security teams face overwhelming volumes, sometimes 1,000 signals daily, many AI-generated attacksSumo Logic announces SOC analyst agent in customer beta and query agent in general availabilityYunjing details Talkdesk's multi-agent hierarchy architecture powered by unified TalkDesk Data Cloud platformFour key areas identified: discovery of opportunities, building knowledge-powered agents, optimization, and measurementDennis emphasizes starting with trusted data foundation before adding generative AI capabilities to avoid hallucinationsDiego stresses governance importance: AI guardrails plus traditional data security create comprehensive protection frameworkKui warns POC-to-production gap requires intentional design: different latency, accuracy, and security requirements at scaleYunjing shares customer success: 80,000 daily calls, 11,000 documents, 97% accuracy despite complex compliance rulesKey success factors include prompt engineering optimization and real-time data processing mechanism improvementsDiego advises learning AI tools end-to-end: from ideation through functional demos without traditional prototyping delaysDennis recommends robust evaluation frameworks across system components, similar to software unit testing approachesYunjing reinforces data processing optimization and governance remain essential alongside exciting agentic AI capabilitiesKui urges immediate action: technology evolves rapidly, perfect solutions don't exist, customer focus builds trustFinal advice centers on treating AI as digital teammate, not replacement, enhancing productivity and creativityPlatform partnerships like AWS Bedrock solve heavy lifting, allowing teams to focus on core differentiatorsParticipants:Diego Dugatkin - Chief Product Officer, BoxDennis Panos - Head of Enterprise AI, SnorkelAIKui Jia - VP AI Engineering, Sumo LogicYunjing Ma - VP of Engineering, AI, TalkdeskModerator: Carol Potts - General Manager, ISV Sales Segment, North America, 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/

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.

The Trump administration launched a new governmentwide hiring program Monday aimed at filling technology hiring gaps in federal agencies with workers who will serve in two-year stints. That program, dubbed the U.S. Tech Force, is being spearheaded by the Office of Personnel Management and has buy-in from private-sector tech companies that will serve as partners in the hiring initiative.The first cohort of recruits will be roughly 1,000 individuals who will range from early-career data scientists and engineers to engineering managers from the private sector. According to a release from OPM, their mission will be to accelerate AI adoption in government and fulfill a priority of the Trump administration. On a call with reporters Monday, OPM Director Scott Kupor said the goal of the program isn't to get workers to commit to “a 40-year career in federal government.” While that's welcome, he said, the aim is to “get the benefit of really smart people working on some of the world's most complex and difficult problems” and provide them with an opportunity, if they so choose, to then go work in the private sector. More than two dozen technology companies have already agreed to Tech Force partnerships, including Amazon Web Services, Meta, Microsoft, xAI, Anduril, Nvidia, Oracle, Adobe and ServiceNow. Those companies have not made firm agreements to hire program alumni but can do so in line with their needs, Kupor said. The commitment that OPM has made to those partners, he said, is “to do a great job of recruiting fantastic people.” The White House and Office of Personnel Management shared more details last Wednesday about the effort to transition federal government HR platforms to a single system, outlining a timeline and expectations. In a memo to agency leaders, Office of Management and Budget Director Russell Vought and OPM Director Scott Kupor said the transition portion of the administration's “Federal HR 2.0” project will take place over the next two years, with some agencies coming online earlier than others. Agencies must also stop current projects related to their current systems unless they have an exception. Kupor said in an emailed statement with the memo: “For too long, taxpayers have footed the bill for duplicative HR systems that no modern organization would tolerate. Today's announcement is a major win for efficiency, accountability, and good government.” The memo is the latest action in the Trump administration's push to centralize HR systems as a way of saving money. Per the document, the government currently has more than 100 “core human capital management” systems, and the administration expects that consolidating those systems — as well as HR services — will save billions. The Daily Scoop Podcast is available every Monday-Friday afternoon. If you want to hear more of the latest from Washington, subscribe to The Daily Scoop Podcast  on Apple Podcasts, Soundcloud, Spotify and YouTube.

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.

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/

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

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.

//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

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.