Podcasts about Amazon Web Services

In this special What's Working in Ag segment, the Farm4Profit team previews TechHub Live 2026, one of the leading agricultural technology events in North America. Joining the conversation is Grace from TechHub Live, who shares what attendees can expect when the event returns to the Iowa Events Center in Des Moines, Iowa, July 20–22. The discussion covers: Why TechHub Live continues to attract farmers, retailers, agronomists, technology providers, and ag innovators from across the country The unique combination of education, networking, live demonstrations, and technology showcases Opportunities for farmers to interact directly with ag technology companies and provide valuable feedback The growing role of precision agriculture, automation, data management, and emerging technologies in modern farming Keynote presentations from leaders representing Land O'Lakes, Amazon Web Services, and Purdue University Special programming, including the Executive Forum and Women in AgTech events Why relationship-building remains one of the biggest reasons attendees return year after year The Farm4Profit crew also shares their own experiences from previous TechHub Live events, including panel discussions, interviews with industry leaders, and opportunities to see the latest innovations before they hit the mainstream market. For farmers looking to stay ahead of emerging trends, evaluate new technology investments, and connect with some of the brightest minds in agriculture, TechHub Live provides a unique opportunity to see where the industry is headed and how technology can be turned into measurable results on the farm. Whether you're a producer, retailer, agronomist, ag technology enthusiast, or simply curious about the future of agriculture, this episode provides an inside look at why TechHub Live has become one of the industry's most valuable events. Want Farm4Profit Merch? Custom order your favorite items today!https://farmfocused.com/farm-4profit/ Don't forget to like the podcast on all platforms and leave a review where ever you listen! Website: www.Farm4Profit.comShareable episode link: https://intro-to-farm4profit.simplecast.comEmail address: Farm4profitllc@gmail.comCall/Text: 515.207.9640Subscribe to YouTube: https://www.youtube.com/channel/UCSR8c1BrCjNDDI_Acku5XqwFollow us on TikTok: https://www.tiktok.com/@farm4profitllc Connect with us on Facebook: https://www.facebook.com/Farm4ProfitLLC/Farm4Profit Media is not a financial, legal, or tax advisor. Content is provided for informational purposes only, and we serve solely as a platform for third-party opinions. Any actions taken based on this content are at your own risk. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

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PagerDuty SVP Rukmini Reddy explains why AI is making software operations exponentially more complex — and why the companies that learn and recover fastest will be the ones that win.Topics Include:PagerDuty powers critical digital operations for enterprises and AI-native companies.Founded by early AWS employees who experienced always-on system failures firsthand.The platform evolved from simple alerting into a full operational intelligence platform.Complexity exploded with microservices, cloud-native infrastructure, and multi-cloud environments.Reliability must be a core value — not an operational afterthought.PagerDuty's culture champions the customer above everything else.Employee recognition extends beyond sales to celebrate the whole business.AI is accelerating software creation but making operations far more complex.AI fails differently — silently, unpredictably, with a much larger blast radius.Enterprises should leverage their operational history as a competitive AI asset.AI-native companies must build operational resilience early, not bolt it on later.The winners won't build fastest — they'll learn and recover fastest.Participants:Rukmini Reddy – Senior Vice President of Engineering, PagerDutySee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

Phil Le-Brun: The Octopus Organization Phil Le-Brun is an executive in residence at Amazon Web Services and a former corporate VP and international CIO at the McDonald's Corporation. He is a sought-after speaker and has been featured in Harvard Business Review, The Wall Street Journal, and The Guardian. He is the co-author with Jana Werner of The Octopus Organization: A Guide to Thriving in a World of Continuous Transformation (Amazon, Bookshop)*. Most of us have gone through some version of a reorg. A lot of leaders have also implemented their own reorgs. Sometimes they work. Many times, they don't. In this conversation, Phil and I discuss what goes wrong with reorgs and how we can do better. Key Points Organizations traditionally looked like the tin man from The Wizard of Oz: perfectly planned, many interchangeable parts, not flexible. An octopus organization adapts, works independently to serve the larger whole, and is innately curious. A reorg that starts with an org chart misses the complex organic connections you are unlikely to fully understand. Prioritize structural stability while building internal flexibility. Nurture the complex informal human networks that deliver value. Be honest about objectives and communicate a reorg early. Engage people by starting with smaller-scale change. Clarify the problem to be solved instead of the structural “answer.” Resources Mentioned The Octopus Organization: A Guide to Thriving in a World of Continuous Transformation by Phil Le-Brun and Jana Werner (Amazon, Bookshop)* Interview Notes Download my interview notes in PDF format (free membership required). Related Episodes How to Get the Ideal Team Player, with Patrick Lencioni (episode 301) How to Approach a Reorg, with Claire Hughes Johnson (episode 621) How to Help Employees Handle Tough Moments, with Anthony Klotz (episode 777) Discover More Activate your free membership for full access to the entire library of interviews since 2011, searchable by topic. To accelerate your learning, uncover more inside Coaching for Leaders Plus.

En el marco de ENTEL Conecta CEO Summit realizado en la ciudad de Santa Cruz, la estatal telefónica presentó ENTEL Empresas, ENTEL PyME y ENTEL Gobierno, una trilogía de unidades de negocio orientada a segmentar de forma diferenciada al mercado corporativo, emprendedor e institucional. El encuentro abrió un debate especializado sobre la orquestación de ecosistemas híbridos que se potencian mediante acuerdos estratégicos con firmas globales como Google Cloud, Amazon Web Services (AWS), Fortinet y Starlink, consolidando la transición de la operadora hacia un integrador integral de servicios digitales de valor agregado.

This Omni Talk Retail Fast Five segment explores Amazon Web Services' new Agentic Shopping Assistant and the growing battle for control of customer relationships in retail. Chris Walton and Shelley Huff discuss whether retailers should trust Amazon to power their AI shopping experiences, why customer data remains one of retail's most valuable assets, and what brands must protect as commerce becomes increasingly AI-driven. The conversation also dives into agentic commerce, generative search, and the future of customer discovery online. ⏩ Tune in for the full episode here: https://youtu.be/3lV5GVTa-TQ #AI #AgenticCommerce #AWS #Amazon #RetailTechnology #CustomerData #GenerativeAI #RetailStrategy #RetailNews #OmniTalk

Another good month – investors are giddy. Oil – CRITICALLY LOW inventory (Inside Baseball). Fed governor admits inflation is hard to control. A major name says they are reducing stocks – but are they really? Announcing the Winner of the CTP for Salesforce (CRM). 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? PayPal.Donation.Button({ env:'production', hosted_button_id:'JJJHP2GDEJC7J', image: { src:'https://www.paypalobjects.com/en_US/i/btn/btn_donateCC_LG.gif', alt:'Donate with PayPal button', title:'PayPal - The safer, easier way to pay online!', } }).render('#donate-button'); Follow John C. Dvorak on Twitter Follow Andrew Horowitz on Twitter Warm-Up - Another good month - investors are giddy - Oil - CRITICALLY LOW inventory (Inside Baseball) - Fed governor admits inflation is hard to control - A major name says they are reducing stocks - but are they really? - Announcing the Winner of the CTP for Salesforce Markets - Huge reversal in Software stocks - A few names on the move - and moving BIG! - SpaceX IPO - could drain markets - More AI valuations through the roof Pizza Mouth ! Reversal - Software stocks bounced this week on strong results from Snowflake and Okta, which both recorded their best days on record. - The results signal that investors may have been too quick to declare the end of software with the emergence of artificial intelligence. - Even as AI displaces certain tools and job functions, many software companies continue to show growth, assisted by their own AI products. - The iShares Expanded Tech-Software exchange-traded fund rose 8% this week and closed May up 21%, the best monthly performance for the ETF since October 2001. - With this month's rally, the iShares software ETF is only down 3.8% for the year, still badly trailing the Nasdaq, which has gained 18% in 2026. Snowflake - Amazon said Wednesday that its cloud division has landed a $6 billion spending commitment from Snowflake, which includes the use of the company's custom silicon and chips for artificial intelligence. - Snowflake's purchase of services and technology from Amazon Web Services will occur over five years, according to a press release about the agreement. - Snowflake intends to expand its use of Amazon's Graviton general-purpose chips, as well as cloud-based graphics processing units for AI. - Snowflake and Amazon are frenemies - they compete but also partner with each other. - Stock up 36% on this news DELL!!!!!!!!!!!! - Dell Technologies Inc. shares surged due to an outlook for annual sales that far surpassed expectations on demand for servers that power artificial intelligence work. - Revenue in the fiscal year ending in January 2027 will be about $167 billion, including $60 billion from the sale of AI servers, topping analysts' average estimate of $142.1 billion. - The company booked $24.4 billion in AI orders and generated $16.1 billion in AI server sales in the quarter ended May 1, with Chief Operating Officer Jeff Clarke saying “The AI opportunity shows no signs of slowing.” - The shares surged 33% to $420.91 at the close Friday in New York, the biggest single-day increase in the more than seven years since the hardware maker returned to the public markets after a five-year hiatus as a private firm. - Up 150% YTD More Dell - New XPS 13 at $699 targets price-sensitive market - Aims to compete with MacBook Neo, lower-end Windows devices - Launch amid global memory chip crunch to gain market share - WINING OVER JCD: -- 13.4-inch screen (very compact footprint) Options: 2K / 2.5K LCD (120Hz) OLED touchscreen (higher contrast)| - Very thin bezels ? almost edge?to?edge screen - Weighs 2.2 lbs - one of the lightes out there and a rival to Apple's Macbook Neo Infighting - OpenAI may release multi-chip AI software, challenging Nvidia's (NVDA) ecosystem advantage, according to The Information - Oh, and NVDA is now releasing a CPU for PCs that is aggrevating Intel and AMD Kaboom! - Blue Origin's New Glenn rocket exploded in a massive fireball while undergoing a test on a Florida launchpad, dealing a major setback to the company. - The explosion is the latest blow to New Glenn's reputation as a reliable alternative to SpaceX's Falcon 9, and Blue Origin's launch schedule is certain to suffer significant delays. - The incident will also affect Amazon's ambitions to build out its Leo satellite network and may delay Blue Origin's role in NASA's Artemis program, which aims to send humans back to the moon. - As important as it will be for Blue Origin to diagnose the cause of the rocket explosion, it could take many months to repair its launchpad in Florida. Taking Down - Really? - BlackRock Inc. is trimming its bet on stocks across its model-portfolio business as US equities surge to record highs following a strong earnings season. - The firm cut its overweight position in equities from 3% to 1%, triggering billions of dollars of flows between BlackRock's exchange-traded funds. - BlackRock remains confident in equities and will maintain positions that bet on growing corporate profits, artificial intelligence and government spending, but is rotating away from longer-dated US debt in favor of global fixed-income and liquid alternatives. Slight - SpaceX is targeting a valuation of at least $1.8 trillion in its initial public offering, according to people familiar with the matter. - The company is seeking to raise as much as $75 billion, which would make it the biggest IPO of all time, and is expected to start formal marketing of its IPO as soon as June 4. -SpaceX had $18.7 billion in revenue in 2025, and the company's pitch to investors shows its evolution into an AI services and infrastructure giant with a total addressable market of $28.5 trillion. - 3-5% of the shares will be floated (TIGHT) Strategy: keep supply constrained, which: supports price discovery maintains founder control creates early scarcity dynamics - - - SpaceX has reserved 5% of the shares ?in its planned initial public offering for certain employees and individuals selected by its executive officers, exempting them from post-IPO lock-up restrictions AND.. Even more Valuations - AI giant Anthropic is now worth more than OpenAI. - Anthropic announced a $65 billion Series H financing at a $965 billion valuation, a round led by Altimeter Capital, Dragoneer, Greenoaks and Sequoia Capital. - The financing puts its valuation above that of rival AI lab OpenAI. - The valuation has TRIPLED since February Let's GO! - Shares of LG Electronics surged as much as 24% after the company announced a series of automotive innovations built with technology from Alphabet Inc.'s Google. - The company said its new range of solutions is built on Android automotive operating systems. Its system can control multiple displays with different aspect ratios at the same time by using a single-on-chip, which is different from other conventional in-vehicle display systems, LG said. - But 24% on this news? - More reason that the KOSPI is moving higher No One Care - But... - Inflation has been above the 2% target for 5 years now - Minneapolis Federal Reserve President Neel Kashkari said Thursday that bringing down inflation in the U.S. remains his top priority, warning that consumer prices are still “much too high.”| - Speaking to CNBC's Kaori Enjoji at the Bank of Japan-IMES Conference, Kashkari said that the U.S. central bank would continue taking a “balanced approach” to its dual mandate of price stability and full employment. - 5 YEARS! ---- What that tells us is that the Fed is totally unable to do anything about inflation .... Are we the only ones that see that? Inside Baseball - From a colegie that will go un-named. --- Let's just say he is someone who knows what they are talking about and runs BIG money ----- This is what he said to me..... - Apparently, oil execs were opining with POTUS in meetings yesterday that oil inventories are at alarmingly low levels and oil prices could soon skyrocket (I might soften that language a bit but they know the oil biz better than me) if SoH does not open soon. - I ran a few numbers on total oil inventories including and excluding the SPR. - Total supplies are 10th percentile vs history (although that includes a period when the SPR ramped from 0 to 600mln barrels in the 1980's). - Today it is 4th percentile if you start from 1990 when the SPR was basically full. - The 4 week net and % draw the last 3 weeks are the largest draws of all time. - And not surprising the 1 week net and % draw of the SPR are also the 2 largest draws of all time the last 2 weeks. Surprised - No.... --- This is another story similar to what we saw a few months ago - Taiwan prosecutors suspect that three individuals smuggled at least one shipment of Nvidia Corp. AI chips to China after first exporting them to Japan. - The trio was detained for allegedly falsifying documents related to exports of Super Micro Computer Inc. servers containing advanced Nvidia chips, which the US has barred from sale to China without a license. - Taiwan authorities seized about 50 servers for which they accuse the trio of preparing fraudulent export documents, but at least one shipment had already gone through Taiwan customs and made it to Hong Kong. Under/Over? - Tesla will be somehow folder/merged or taken over by SpaceX in an all stock deal - Tesla market cap is $1.6 Trillion so that will be a tough one to take on as SpaceX is about equal in size. ---- If this happens, when ? Mini Retirement - Is this a THING? - A mini retirement is when you take a planned break from working, usually for a few months to a couple of years, instead of waiting until age 65+ to fully retire. - Tim Feerris popularized this... (4 day workweek dude) Step 1: Work & save aggressively 2–10+ years Build a specific “freedom fund” Step 2: Take time off 3 months to 2 years Travel, recharge, pursue interests, or experiment with new ideas Step 3: Return to work Same career… or pivot to something new Then repeat if desired.   Love the Show? Then how about a Donation? Announcing the THE CLOSEST TO THE PIN for SALESFORCE (CRM)   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

The growth of data centers, and the amount of electricity expected to be required to meet that demand, is probably the biggest issue in the US power sector.  US grid power supplied to hyperscale, leased and crypto-mining data centers reached about 64.4 gigawatts in 2025, nearly tripling since 2020. And that growth is accelerating. In this episode, host Dan Testa speaks with Brandon Oyer, head of energy and water for the Americas at Amazon Web Services. Oyer breaks down what he describes as misperceptions regarding the water and power impacts of data centers, the ways in which many people rely on data centers without realizing it and how AWS works with utilities to develop new projects.

From cracked data foundations to multi-agent AI, Starburst Data's co-founder shares hard-won lessons on getting the right data, not just more of it.Topics Include:Matthew Fuller, co-founder and VP of Product at Starburst Data, joins the show.Starburst is built on Trino, a fast SQL engine for federated data queries.Their platform lets users query data across lakes, stores, and databases seamlessly.Governed "data products" give organizations access to their full data estate in context.A strong data foundation is essential before any AI use case can succeed.AI doesn't create data problems — it exposes the cracks already there.Common mistake: assuming everyone in an org defines "customer" or "revenue" the same way.More data isn't always better — getting the right data is what matters.Customers include HSBC, Comcast, Zalando, ZoomInfo, and DBS, many running on AWS.AWS partnership spans technical support, SLA reliability, and proactive product briefings.Advice for product leaders: always anchor new technology back to the customer problem.2026 will be defined by specialized multi-agents working together autonomously.Participants:Matt Fuller – Co-Founder, Vice President of Product, Starburst DataSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

En este nuevo episodio de Road to CTO, nos acompaña Susana Duran, quien actualmente lidera equipos de arquitectura y operaciones para los clientes más grandes de AWS en EMEA.La trayectoria de Susana es de esas que inspiran. Pasó de sus inicios como CTO en startups como Syncro y Hornet a la vicepresidencia en una multinacional como Sage, para terminar hoy en el mismísimo corazón de Amazon Web Services.Hablamos abiertamente de lo que significa liderar hoy en día, sobre todo cuando te toca gestionar el "FOMO tecnológico" y la velocidad absurda a la que avanzan los nuevos modelos. Susana ya vivió el boom de la IA conversacional hace seis años, cuando casi nadie hablaba de esto, y nos dio su visión sin filtros sobre el impacto real que está teniendo en el desarrollo de software y por qué la supervisión humana sigue siendo innegociable.También nos metimos un poco en el barro con la gestión de equipos: las diferencias reales entre liderar en una startup y en una Big Tech como Amazon, el reto de mantener el alto rendimiento en entornos de hipercrecimiento y cómo es ese camino de pasar de un perfil puramente técnico a tomar decisiones en juntas directivas.Support the show

The growth of data centers, and the amount of electricity expected to be required to meet that demand, is probably the biggest issue in the US power sector.  US grid power supplied to hyperscale, leased and crypto-mining data centers reached about 64.4 gigawatts in 2025, nearly tripling since 2020. And that growth is accelerating. In this episode, host Dan Testa speaks with Brandon Oyer, head of energy and water for the Americas at Amazon Web Services. Oyer breaks down what he describes as misperceptions regarding the water and power impacts of data centers, the ways in which many people rely on data centers without realizing it and how AWS works with utilities to develop new projects.

Send us Fan MailMost people assume national security delays are about technology.They're not.  They're about paperwork - and it can take up to two years just to deploy software the government already wants.Andrew Black is a national security entrepreneur, cybersecurity executive, and emerging technology strategist whose career has sat at the intersection of AI, defense, cyber risk, and global security operations.Andrew is currently the CEO of Kovr.ai ( https://kovr.ai/ ) an AI-native cyber compliance platform focused on one of the biggest bottlenecks in modern national security: getting software and cloud systems authorized for use in highly regulated and classified environments. Kovr.ai is using AI to automate complex compliance frameworks like FedRAMP and CMMC, helping organizations become “ATO-ready” (Authority to Operate) in minutes rather than months.  Andrew also now serves as Chief Strategy Officer of Fortreum  ( https://fortreum.com/ ) which recently acquired Kovr.aiBefore joining Kovr.ai, Andrew led emerging technology initiatives at Amazon Web Services (AWS), where he worked with government leaders on next-generation capabilities spanning artificial intelligence, generative AI, quantum computing, high-performance computing, edge systems, and space technologies.Andrew's career has also included leadership roles at Gartner, advisory work with the Krach Institute for Tech Diplomacy at Purdue, venture investing with NextGen Venture Partners, and teaching national security and data analysis as adjunct faculty at Georgetown University Walsh School of Foreign Service.Earlier in his career, Andrew worked in counter-terrorism, threat modeling, and risk analytics, building data-driven systems to allocate anti-terrorism resources and anticipate geopolitical instability in frontier and conflict-affected regions.A graduate of University of St Andrews and Georgetown University, Andrew has spent two decades helping government and industry navigate increasingly complex technological and security landscapes - and today he's focused on transforming how AI can accelerate trust, compliance, and operational readiness across the defense ecosystem.#AI #Cybersecurity #NationalSecurity #DefenseTech #FedRAMP #CMMC #ATO #ArtificialIntelligence #GovTech #CyberCompliance #CloudSecurity #KovrAI #DoD #ZeroTrust #EmergingTech #Startup #MachineLearning #CyberDefense #FutureOfAI #GovernmentTechnologySupport the show

Snowflake reported a first quarter fiscal 2027 earnings beat and announced a new $6 billion multi-year agreement with Amazon Web Services, according to Quartz. The quarter covered the period ending April 30, 2026. The deal points to deeper alignment with AWS through potential minimum spend, co-selling, engineering collaboration, and marketplace incentives. Customers should assess impacts on pricing, discounts, and lock-in while benchmarking against Microsoft Azure and Google Cloud. Competitive pressure from Databricks, Microsoft, and Google continues as AI workloads expand. Founders can use this development to revisit contracts, optimize workload placement, and plan budgets and runway for the next year.Learn more on this news by visiting us at: https://greyjournal.net/news/ Hosted on Acast. See acast.com/privacy for more information.

Le Cloud en France entre encouragement et restrictions: Le écart du Cloud français Par Régis BAUDOUIN « Libérés des chaînes américaines, mais coupés de l’eau. » En ce début juin 2026, le monde du Cloud vit un paradoxe historique en France, coincé au cœur des injonctions contradictoires de l’État. D'un côté, la réglementation européenne libère enfin les entreprises du piège financier des géants américains pour stimuler l’économie numérique locale. De l'autre, les contraintes climatiques et préfectorales coupent l’eau aux infrastructures physiques indispensables pour l’accueillir. XY Magazine décrypte comment la crise environnementale est en train de court-circuiter la souveraineté numérique. La fin de la “taxe de sortie” du Cloud Pour les entreprises françaises, migrer ses données hors des griffes des hyperscalers américains (Amazon Web Services, Microsoft Azure, Google Cloud) relevait jusqu’ici du parcours du combattant financier. Si l’entrée des données dans leurs serveurs était gratuite, en sortir exigeait de payer des frais de transfert (les fameux egress fees) prohibitifs. Un véritable “piège à données” qui cadenassait le marché. Focus sur les Egress fees Pour comprendre pourquoi le Data Act est un séisme, il faut analyser le modèle économique pervers qui régissait le Cloud jusqu’ici. Ce modèle reposait sur une asymétrie totale des flux, baptisée le principe de l’ingress (l’entrée) et de l’egress (la sortie). L’illusion de la gratuité Lorsque vous transférez des téraoctets de données, des fichiers clients ou des sauvegardes depuis les serveurs de votre entreprise vers le Cloud d’un géant américain (AWS, Azure, Google Cloud), l’opération est entièrement gratuite. C’est l’ingress. Les hyperscalers vous ouvrent grand la porte et absorbent vos données sans vous facturer le moindre centime de bande passante. L’arnaque commence lorsque vous voulez faire le chemin inverse, ou transférer vos données vers un autre hébergeur (comme le français OVHcloud). C’est l’egress. Chaque gigaoctet qui franchit la frontière du réseau du géant américain pour retourner sur internet ou aller chez un concurrent est lourdement facturé. C’est le principe des egress fees : des frais de bande passante sortante facturés jusqu’à 10 à 20 fois plus cher que le coût réel de l’infrastructure réseau. [ Vos Données ] ── Ingress (GRATUIT) ──> [ Cloud Américain ] [ Vos Données ]

Dr. Yana Werner and Phil LeBrun are senior leaders at Amazon Web Services who help Fortune 500 companies navigate AI innovation, organizational change, and leadership transformation. Yana is an Executive in Residence at AWS, a Harvard Business Review Press author, and a global transformation leader with experience spanning financial services, startups, and DHL. Phil is the former international CIO of McDonald's, where he led technology modernization across 38,000 restaurants in 120 countries. Together, they co-authored The Octopus Organization, a book focused on helping organizations embrace decentralized leadership, AI adoption, and human-centered change. On this episode we talk about: Why most corporate transformations fail — and how to avoid “soul-destroying” change initiatives The rapid acceleration of AI and why companies are struggling to keep up How Amazon approaches AI innovation internally and encourages experimentation at scale The meaning behind “The Octopus Organization” and decentralized intelligence Why curiosity is one of the most valuable career skills in the modern economy Phil's journey from flipping burgers at McDonald's to becoming international CIO Yana's philosophy of saying “yes” to opportunities and connecting the dots later Why leadership isn't tied to a title — and how anyone can become a leader The importance of learning over certainty in today's workplace How AI tools are reshaping organizational structures and decision making Why transformation projects fail 70–90% of the time Advice for young professionals navigating today's corporate and AI-driven landscape How experimentation and autonomy create innovation inside large organizations The role of curiosity, lifelong learning, and ownership in career growth Why successful leaders ask better questions instead of pretending to have all the answers Quotes from the Episode: “We prefer two teams solving the same problem rather than everyone waiting for permission.” — Phil LeBrun “If AI stopped developing today, it would still take companies five years to catch up.” — Dr. Yana Werner “We train people to have answers, not ask questions.” — Phil LeBrun “My career is a strange connection of dots because I said yes to a lot of things.” — Dr. Yana Werner Connect with Dr. Yana Werner & Phil LeBrun: The Octopus Organization Official Website A Word from Our Sponsors: - Are you ready to start your own creatorjourney and make it big? Visitwww.fanvue.com today and launch yourcareer! - To learn more about Mode Mobile and its investor community, go to https://invest.modemobile.com/travismakesmoney-Travis Makes Money is made possible by High Level – the All-In-One Sales & Marketing Platform built for agencies, by an agency.Capture leads, nurture them, and close more deals—all from one powerful platform.Get an extended free trial at gohighlevel.com/travis Learn more about your ad choices. Visit megaphone.fm/adchoices

Find out why the world's largest banks and enterprises trust CockroachDB for mission-critical infrastructure, and what a decade of AWS partnership means for the future of cloud-native data.Topics Include:Cockroach Labs makes CockroachDB, a distributed SQL database built for resilience.It delivers cloud-native consistency that legacy relational databases simply cannot match.The name "cockroach" reflects survivability — it's designed to never go down.Target customers include major banks, trading platforms, retailers, and gaming companies.AI is forcing enterprises to accelerate database modernization from the board level down.AWS has been a foundational cloud partner for Cockroach Labs for a decade.The CockroachDB-AWS integration spans EC2, S3, Bedrock, and Amazon Q-Transform.AWS partnership shapes both product roadmap decisions and go-to-market execution.New partners should educate themselves first — AWS programs are deep and extensive.CockroachDB now supports native vector search for RAG and generative AI applications.Agentic AI could mean trillions of digital agents demanding real-time data infrastructure.Database modernization and AI adoption will only accelerate dramatically through 2027.Participants:Cassie Zimmerman – Senior Director, Global Strategic Partnerships, Cockroach LabsSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

The automotive retail industry is at a genuine inflection point. Rules are being rewritten, the competition is intensifying, and the pressure to transform has never been greater.In this episode, Hartmut Wagner, CEO of Nextlane, shares how his company is helping dealerships and manufacturers navigate that complexity through a cloud-based open ecosystem, transforming from the inside out in the process.For Hartmut, the key isn't the technology. It's the culture behind it, leading with values, proving AI's impact through real use cases, and empowering people until adoption stops feeling like a directive and starts feeling natural.This episode offers leaders a practical perspective on driving transformation in a traditional industry, building a culture of curiosity and innovation, and why enabling your people is always the most powerful place to start.

The rapid expansion of AI-driven data centers is putting unprecedented pressure on energy supply, emissions and water availability. At the start of 2026, S&P Global named AI and data center growth as a top sustainability trend to watch, and it was a dominant theme at both Climate Week Zurich and CERAWeek 2026 in Houston, where the conference title was "Convergence and Competition."  In this episode of the All Things Sustainable podcast, we explore how the tech and energy industries are converging to meet the growing power demands of AI while also protecting the planet and local communities. In three interviews from the sidelines of CERAWeek, we ask how companies can deliver reliable energy to power AI without sidelining affordability, emissions, water and community concerns.   Arshad Mansoor, President and CEO of the Electric Power Research Institute (EPRI), explains how the research organization is convening stakeholders across the energy ecosystem to meet growing energy demand.   "Without convergence, without the stakeholders coming together to solve critical policy issues, technical issues, regulatory hurdles, we will not be able to bring speed to power," Arshad says.     We talk to Alexis Bateman, Head of Sustainability at Amazon Web Services (AWS), the cloud-computing and technology services subsidiary of Amazon. She discusses why one of the world's largest hyperscalers takes a "multipronged" approach to powering AI infrastructure that balances grid reliability and sustainability.   "We have to play both sides of the coin," Alexis says. "We have customers that are reliant on our cloud services every single day, and so we have to be a reliable partner for them. At the same time, our first choice will always be carbon-free energy and making sure that we have a steady supply."   And we sit down with Lydia Krefta, Senior Director of Electrification and Decarbonization at one of the largest US utilities, Pacific Gas and Electric Company. PG&E operates in the heart of Silicon Valley, and Lydia explains how the utility is managing the build-out needed for both electrification and data centers.  Lydia also highlights a less-discussed bottleneck in the AI build-out: human capital. Even where capital and technology exist, utilities still need enough skilled workers to plan, permit and construct the infrastructure required to meet surging demand.  Further reading and listening:  Beneath the surface: Water stress in data centers | S&P Global  CSO Insights: California's biggest utility talks decarbonization, climate adaptation and AI energy demands | S&P Global    S&P Global's Top 10 Sustainability Trends to Watch in 2026 | S&P Global  Copyright ©2026 by S&P Global    DISCLAIMER       By accessing this Podcast, I acknowledge that S&P GLOBAL makes no warranty, guarantee, or representation as to the accuracy or sufficiency of the information featured in this Podcast. The information, opinions, and recommendations presented in this Podcast are for general information only and any reliance on the information provided in this Podcast is done at your own risk.    Any unauthorized use, facilitation or encouragement of a third party's unauthorized use (including without limitation copy, distribution, transmission or modification, use as part of generative artificial intelligence or for training any artificial intelligence models) of this Podcast or any related information is not permitted without S&P Global's prior consent subject to appropriate licensing and shall be deemed an infringement, violation, breach or contravention of the rights of S&P Global or any applicable third-party (including any copyright, trademark, patent, rights of privacy or publicity or any other proprietary rights).    This Podcast should not be considered professional advice. Unless specifically stated otherwise, S&P GLOBAL does not endorse, approve, recommend, or certify any information, product, process, service, or organization presented or mentioned in this Podcast, and information from this Podcast should not be referenced in any way to imply such approval or endorsement. The third party materials or content of any third party site referenced in this Podcast do not necessarily reflect the opinions, standards or policies of S&P GLOBAL. S&P GLOBAL assumes no responsibility or liability for the accuracy or completeness of the content contained in third party materials or on third party sites referenced in this Podcast or the compliance with applicable laws of such materials and/or links referenced herein. Moreover, S&P GLOBAL makes no warranty that this Podcast, or the server that makes it available, is free of viruses, worms, or other elements or codes that manifest contaminating or destructive properties.    S&P GLOBAL EXPRESSLY DISCLAIMS ANY AND ALL LIABILITY OR RESPONSIBILITY FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, CONSEQUENTIAL OR OTHER DAMAGES ARISING OUT OF ANY INDIVIDUAL'S USE OF, REFERENCE TO, RELIANCE ON, OR INABILITY TO USE, THIS PODCAST OR THE INFORMATION PRESENTED IN THIS PODCAST. 

This is episode 842. Read the complete transcription on the Sales Game Changers Podcast website. Watch the video of this podcast on YouTube here. The Sales Game Changers Podcast was recognized by YesWare as the top sales podcast. Read the announcement here. FeedSpot named the Sales Game Changers Podcast at a top 20 Sales Podcast and top 8 Sales Leadership Podcast! Subscribe to the Sales Game Changers Podcast now on Apple Podcasts! Purchase Fred Diamond's best-sellers Love, Hope, Lyme: What Family Members, Partners, and Friends Who Love a Chronic Lyme Survivor Need to Know and Insights for Sales Game Changers now! Today's show featured an interview with Mark Conley, Vice president of Americas Channel Sales at Cohesity, and Lisa Kidder, Cloud Solutions Architect of Amazon Web Services at NetApp. Find Mark on LinkedIn. Find Lisa on LinkedIn. MARK'S TIP: "The three characteristics of great salespeople are ego, empathy, and guts. You've got to have a resilient ego, the ability to understand what the person you're selling to wants, and the courage to commit to something that you've never done before." LISA'S TIP: "Volunteer for the presentation you don't feel ready for, raise your hand before you feel 100% prepared. I think that's the best way to not only gain that confidence, but get the visibility to just have your career take off."

Greg Murphy of Vectra AI explains why no single security tool is enough in 2026, and how AI is transforming overwhelmed security teams into lean, highly responsive defense operations.Topics Include:Vectra AI helps enterprises detect and respond to cyberattacks before they become breaches.CISOs face millions of alerts monthly with dangerously understaffed security teams.Vectra pioneered AI-driven triage to prioritize only the most critical threats.The result: analysts act on two or three alerts, not thousands.Generative AI is now actively being weaponized by sophisticated bad actors.The first fully AI-orchestrated cyberattack by a nation state has already happened.Vectra and AWS Bedrock are building autonomous agents to fight back.Agentic AI can investigate thousands of incidents and surface only what matters.Over-reliance on single tools like EDR leaves dangerous gaps in defense.Modern attacks move fluidly across identity, network, and cloud environments simultaneously.AI stitches cross-surface signals together, revealing attacks hidden in isolated events.Best practice: assume breach, expand your network definition, and layer best-of-breed solutions.Participants:Greg Murphy – Chief Business Officer, Vectra AISee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

Andri Sadlak is a serial entrepreneur and Founding Head of Product & Strategy at Azoma, building AI-first commerce software for the age of agentic shopping. He's been an Amazon seller since 2017, exited his own brand, and co-founded ProductPinion. Today he's part of the team behind Amazon growth and AI visibility strategies for 8 and 9-figure brands like Mars, L'Oréal, and HP. He's one of the sharpest voices on Agentic Commerce, taking the world stage to break down how brands need to show up in the age of AI shopping assistants like Amazon Rufus, Walmart Sparky, and LLM search.Highlight Bullets> Here's a glimpse of what you would learn…. The evolution of e-commerce from traditional search engines to AI-powered answer and action engines.The rise of AI shopping assistants and their impact on consumer purchasing behavior.The integration of AI technologies by major companies like Amazon and OpenAI to enhance shopping experiences.The concept of generative commerce and how AI can autonomously complete purchases for consumers.The rapid adoption of AI tools and their influence on product research and decision-making.The importance of optimizing for AI algorithms in e-commerce, particularly on platforms like Amazon.The role of multi-modal understanding in AI, allowing it to interpret both text and images for better product recommendations.Strategies for sellers to optimize their listings for AI-driven systems, including managing Q&A sections and enhancing product images.The significance of external citations and media presence in building trust and credibility for AI recommendations.The future of e-commerce and the necessity for brands to adapt to AI-driven changes to maintain competitiveness.In this episode of the Ecomm Breakthrough Podcast, host Josh Hadley interviews AI-driven e-commerce expert Andri Sadlak. They explore how AI is revolutionizing online shopping, focusing on Amazon's shift from traditional search to AI-powered answer and action engines like Rufus. Andri shares actionable strategies for brands to optimize product listings for AI, discusses the importance of image and Q&A optimization, and highlights the growing role of external citations. The episode offers practical tips for sellers to thrive in the new era of agent commerce, emphasizing the urgency of adapting to AI-driven changes in e-commerce.Here are the 3 action items that Josh identified from this episode:Optimize for BOTH Amazon algorithms Don't rely on just traditional keyword SEO—start optimizing for both Rufus/Cosmo (AI-driven discovery) and legacy search to stay competitive.Fix your existing listings first (quick wins) Update product images, backend fields, alt text, and listing details—these are fully within your control and can drive immediate impact.Focus on one high-impact priority: Cosmo optimization Ensure your product answers key customer questions clearly (front + backend). Nail the fundamentals first—everything else builds on this.Resources mentioned in this episode:Josh Hadley on LinkedIneComm Breakthrough ConsultingeComm Breakthrough PodcastEmail Josh Hadley: Josh@eCommBreakthrough.comTools and Technologies"Rufus": "00:02:02""ChatGPT": "00:06:01""Gemini": "00:09:33""Perplexity": "00:09:33""ProductPinion": "00:02:02""Cosmo": "00:21:04""Claude": "00:28:05""Amazon Rekognition": "00:36:30""AWS (Amazon Web Services)": "00:36:30""Azoma": "00:54:36"Studies and Reports"Accenture Study on AI Trust": "00:13:13""Bain and Company Research on AI Usage": "00:16:05""Amazon's Cosmo Paper": "00:30:32"Skills and Features"Skills for Claude": "00:28:41""A+ Content": "00:39:55"Websites"Amazon Seller Central": "00:38:14""Affiliates Media": "00:44:19""ecommbreakthrough.com": "00:54:58"Books"Building a StoryBrand": "00:54:11"Key Concepts"Listings 10, 20, and 30": "00:22:34""Optical Character Recognition (OCR)": "00:39:04"Episode SponsorThis episode is brought to you by eComm Breakthrough Consulting where I help seven-figure e-commerce owners grow to eight figures. I started my business in 2015 and grew it to an eight-figure brand in seven years.I made mistakes along the way that made the path to eight figures longer. At times I doubted whether our business could even survive and become a real brand. I wish I would have had a guide to help me grow faster and avoid the stumbling blocks.If you've hit a plateau and want to know the next steps to take your business to the next level, then email me at josh@ecommbreakthrough.com and in your subject line say “strategy audit” for the chance to win a $10,000 comprehensive business strategy audit at no cost!Transcript Area:Andri Sadlak 00:00:00  The shift that we're talking about is search engines are becoming answer engines plus action engines. So it's already answer engines. We're already deep in it. Most of the people at least. And action engines is what a lot of people predict is going to happen next because we're going to save our time. We're going to go for convenience and trust AI. We already do, right? The good news you're watching this. So now you know that you need to pay attention. And I'm going to share with you exactly what I need to do.MC 00:00:29  Welcome to the Econ Breakthrough Podcast. Are you ready to unlock the full potential and growth in your business? You've already crossed seven figures in sales, but the challenge is knowing how to take your business to the next lev...

Satya Nadella explains why Microsoft feared becoming "the next IBM" in dramatic testimony from the Elon Musk vs OpenAI trial, while Apple warns Canada that proposed surveillance legislation could weaken encryption security for everyone. In this episode of Hashtag Trending, Jim Love covers Amazon Web Services' new cloud desktop service for AI agents — and why vision-based automation may cost far more than expected when compared with direct API access. Apple pushes back against Canada's proposed Bill C-2, warning that mandated lawful-access capabilities could create exploitable security backdoors. The U.S. Federal Communications Commission also reverses course, allowing certain previously approved routers to continue receiving security updates through at least January 1, 2029, avoiding a security headache for millions of users. Then we close with the courtroom battle between Elon Musk and OpenAI, where Microsoft CEO Satya Nadella delivers one of the most revealing moments yet. Chapters 00:00 This is Hashtag Trending – May 13, 2026 00:24 Headlines 00:38 AWS Gives AI Agents Cloud PCs 01:35 Why Vision-Based AI Can Get Expensive 03:02 Apple Warns Canada on Encryption Bill C-2 04:42 FCC Router Security Update Reprieve 05:48 Why You Should Update Your Router Now 06:28 Satya Nadella Testifies in Musk vs OpenAI Trial 08:52 The Hockey Analogy Recap 09:53 Wrap Up #AI #OpenAI #Microsoft #SatyaNadella #ElonMusk #Apple #Encryption #Cybersecurity #AWS #ArtificialIntelligence #Canada #TechNews

Eighty feet underwater off the coast of Australia, diving the Great Barrier Reef, financial advisor coach Ray Sclafani watched the largest octopus he had ever seen move slowly across the reef. No urgency. No wasted motion. Just complete awareness. And as it moved, it changed color instantly and seamlessly blending into coral, rock, sand, and fish in real time. It was not reacting late. It was adapting continuously. In this episode of Building the Billion Dollar Business, Ray connects that moment to a Harvard Business Review article "Become an Octopus Organization" and makes the case that the most adaptive firms in wealth management are the ones that will sense and respond in real time while others are still waiting for direction. The world most advisory firms were built for is long gone. The model that replaces it is already here.What you will learn in this episodeWhy most organizations are still built like machines and why that model is failing in today's environmentWhat the Harvard Business Review's octopus organization model means for wealth management firms and their leadersThe difference between a complicated world and a complex one and why you cannot script your way through the latterWhy only 12% of businesses produce sustained results after transformation efforts and what the systemic miss actually isHow moving decision-making closer to the client transforms how people think, act, and contribute inside a firmWhy organizations deeply focused on creating client value are three times more likely to lead in revenue growthHow the leader's role must shift from directing work to shaping the system by removing friction, creating clarity, and making ownership visibleWhat the octopus model teaches about coordination over control and fluidity over rigidityKey insight from this episodeThe firms that learn how to adapt inside this environment in real time are the ones that will grow, scale, and ultimately endure. The rest will keep trying to push harder on systems that were built for a different world. And that rarely ends well.Resources and references mentionedHarvard Business Review — Become an Octopus OrganizationThe Octopus Organization — book by Jaina Werner and Phil LeBrun, executives in residence of Enterprise Strategy at Amazon Web Services, LondonCoaching questions for reflectionAs your firm grows over the next three years, where will you need to shift decision making closer to the client so your team can respond in real time instead of waiting for direction?If you stepped back and redesigned your organization to better adapt to change, what would you stop doing first so your team can take more ownership and think more interdependently?Building the Billion Dollar Business is hosted by Ray Sclafani, founder and CEO of ClientWise, the financial services industry's leading executive coaching and team development firm for elite advisors and wealth management teams.Find Ray and the ClientWise Team on the ClientWise website or LinkedIn | Twitter | Instagram | Facebook | YouTube

If you're betting on agentic AI, hear directly from the builders navigating the challenges, innovating pricing models, and creating the coming reality where every employee manages thousands of agents.Topics Include:Four panelists represent the full AI stack: build, run, secure, monitor.Agentic AI moved faster than anyone predicted just 18 months ago.Writer AI's no-code agent builder missed both its target personas entirely.Non-technical users now just prompt agents instead of building workflows.Fireworks AI processes over ten trillion tokens daily across open models.DeepSeek's Christmas release tripled Fireworks' capacity needs almost overnight.Okta identified agent identity as a security problem from day one.91% of organizations are already using AI agents in some capacity.Datadog evolved naturally from dashboards to autonomous investigative agents.Bits.ai agents now diagnose production incidents before engineers wake up.Trust requires explainability — black-box agents stall enterprise adoption cold.Human-in-the-loop remains essential; risk tolerance varies wildly by organization.Writer AI compressed a four-month retail workflow down to one week.Multi-provider inference consistency is one of the hardest unsolved infrastructure problems.Agentic pricing models are fundamentally broken for enterprise budget planning today.Agents managing agents means every employee becomes a manager of thousands.POC data gaps are the most underrated blocker to production deployment.Security must be designed in from the start — retrofitting is painful.Build evaluations first so you know if you're actually improving anything.Find your uniquely differentiated data and build your agentic bet there.Participants:Yannick Guillerm – Regional Manager, Sales Engineering, DatadogRay Thai – Director of Product Management, Fireworks AIAndrew Yu – Vice President of Engineering, OktaMatan-Paul Shetrit – Director of Product Management, Writer AIModerator: Carol Potts – General Manager, North America ISV Sales, AWSSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

AI transformation at enterprise scale isn't a project with a finish line; it's an organizational reckoning with how people learn, work, and create value. Vivian Sun, Senior Director of Data & AI at Jabil, brings that reality into sharp focus in this episode of AWS Executive Insights.In conversation with Taimur Rashid, Managing Director of the AWS Generative AI Innovation Center, Vivian explains why AI demands continuous learning, not a one-time skillset. She also explores how Jabil's Octopus Organization model works in practice, with a central body setting strategy and guardrails, while distributed teams retain the freedom to innovate in the ways that work best for them. Together, these principles are what turn early pilots into lasting organizational change.This episode offers leaders a practical framework for scaling AI transformation across a global organization, while keeping people, not technology, at the center of the journey.

Most leaders think AI is about tools, but Matt Domo says that is where businesses go wrong.In this episode of The Authority Company Podcast, Joe Pardavila sits down with Matt Domo, a founder of Amazon Web Services' database division and author of Everybody Wins, to break down why AI transformation is not a tech problem, but a leadership one.They cover why companies are stuck in “AI washing,” why layoffs blamed on AI are often misleading, and how leaders can shift from hype to real business value. Matt also introduces the “ME Experience,” a framework for building businesses where systems adapt to customers, employees, and leaders.If you are a founder, CEO, or operator trying to make sense of AI, this episode gives you a clear path forward.What you will learn:Why AI will not replace CEOs, but better leaders willThe difference between AI hype and real business valueWhat “AI washing” looks like and how to avoid itHow to build systems that scale without breaking trustWhy customer experience drives AI successHow to create a culture of experimentation that worksWhat leaders must change right now to stay competitive⏱️ TIMESTAMPS / CHAPTERS00:00 Intro and guest overview00:01 Why AI is not replacing CEOs00:02 The real battle in AI is leadership, not tools00:04 AI layoffs vs reality00:05 When AI must prove ROI00:07 The problem with “AI washing”00:08 What “Everybody Wins” means for leaders00:10 The ME Experience explained00:12 Why companies get AI wrong00:13 Apple and the lesson on customer value00:14 The four questions every leader must ask00:16 The “burning platform” problem00:17 Why leaders wait too long to act00:19 How the ME framework changes business00:20 Adding AI without adding value00:22 Why tools are not the answer00:23 Building a culture of experimentation00:26 Why learning matters more than outcomes00:28 The personal mission behind the book00:30 Closing thoughts

For DNB, transformation isn't just a strategy. It's a survival imperative.In this episode, Kjerstin Braathen, CEO of Norway's largest bank, makes the case that the pace of change in financial services today is unlike anything we've seen before. Not just digitization, but a full reimagining of what it means to build a bank from the ground up in a digital world.Her answer? Stop tweaking the edges. Pick the must-win battles that matter most, move fast, and bring your people with you. Because at DNB, technology is only as powerful as the people behind it. And that means empowering everyone across the organization to lead the change. This episode offers leaders a compelling perspective on what it really takes to transform at speed, without leaving your culture behind.

Wesley Wilson is the Head of the US and Canada for The Consumer Goods Forum (CFG), a CEO-led global organization advancing the future of retail and consumer goods. With a background in consumer goods investment and experience at Walmart and Mars, Wesley helps industry leaders collaborate on innovation, standards, intelligent commerce, adaptive value chains, and evolving consumer needs. He brings a global, multichannel perspective to conversations about data, AI, and the future of consumer goods.  Justin Honaman is the Global Head of Worldwide Retail, Restaurants, and Consumer Goods Business Development at Amazon Web Services (AWS), a cloud platform helping companies build, scale, and modernize digital capabilities. Justin works with global retail and CPG leaders on supply chain, eCommerce, data, analytics, AI, digital engagement, and customer experience solutions. Recognized as the 2026 Top AI Thought-Leader by Rethink Retail, he brings practical insight into how brands can use generative and agentic AI while navigating data, governance, and talent challenges. In this episode… AI has quickly moved from experimentation to expectation, but many organizations are still working through the foundations that make it useful. Clean data, strong governance, and the right talent are becoming just as important as the tools themselves. As agentic AI becomes more practical, how can companies move fast without losing control? The answer lies in building flexible data systems, empowering teams, and choosing AI investments that align with real business value. Wesley Wilson brings expertise in retail and consumer goods strategy, while Justin Honaman adds a technology and cloud perspective on how brands are applying generative and agentic AI today. Wesley emphasizes the need for common standards, data control, and a clear customer value proposition, while Justin points to cloud adoption, talent development, and secure agent management as signs that companies are moving from curiosity to execution. Together, they suggest that success will come from balancing speed with structure, experimentation with governance, and innovation with practical use cases. In this episode of The Digital Deep Dive, Aaron Conant chats with Wesley Wilson, Head of the US and Canada for The Consumer Goods Forum, and Justin Honaman, Global Head of Worldwide Retail, Restaurants, and Consumer Goods Business Development at Amazon Web Services. They focus on agentic AI and the data challenges shaping retail and consumer goods. Wesley and Justin discuss data readiness, AI governance, talent gaps, and touch on personalization, search, and what comes next for AI adoption.

First, Microsoft and Blackbaud announced their respective financial results for their quarters ended March 31st, 2026, SAP acquired Dremio, an open, high-performance data lakehouse platform, Sage announced the expansion of its strategic relationship with Amazon Web Services (AWS), and Planful announced the general availability of Planful AI Planner Assistant.Connect with us!https://www.erpadvisorsgroup.com866-499-8550LinkedIn:https://www.linkedin.com/company/erp-advisors-groupTwitter:https://twitter.com/erpadvisorsgrpFacebook:https://www.facebook.com/erpadvisorsInstagram:https://www.instagram.com/erpadvisorsgroupPinterest:https://www.pinterest.com/erpadvisorsgroupMedium:https://medium.com/@erpadvisorsgroup

Artificial intelligence affects how we understand the behavior of machine learning systems. Stefano Soatto, VP of Applied Science, Amazon Web Services, explains how ideas from information geometry shape emerging theories of how these artifacts work. Soatto examines the natural gradient, the connections between geometry and concepts such as probability distributions, entropy, mutual information, and KL divergence, and the challenge of defining information in trained models, helping clarify how reasoning and learning can be understood in the era of AI. Series: "Kyoto Prize Symposium" [Science] [Show ID: 41494]

Artificial intelligence affects how we understand the behavior of machine learning systems. Stefano Soatto, VP of Applied Science, Amazon Web Services, explains how ideas from information geometry shape emerging theories of how these artifacts work. Soatto examines the natural gradient, the connections between geometry and concepts such as probability distributions, entropy, mutual information, and KL divergence, and the challenge of defining information in trained models, helping clarify how reasoning and learning can be understood in the era of AI. Series: "Kyoto Prize Symposium" [Science] [Show ID: 41494]

The rapid expansion of AI data centers is reshaping power systems and increasing the importance of social license where some communities are demanding greater transparency. Doug Morrow, Director of ESG Strategy at BMO Capital Markets, explains to host Alma Cortés Selva, Senior Advisor with the BMO Climate Institute, how surging investment in Artificial Intelligence, cloud computing, and automation is transforming electricity markets and placing data centers under new kinds of public scrutiny. Morrow explores why concerns over rising power bills, water use, and questionable local economic benefits have turned data centers into a flashpoint for communities, investors, and policymakers alike. He discusses what responsible growth looks like in practice—from clearer disclosure of energy and water impacts to emerging industry pledges and community‑first approaches—and why trust and transparency will be just as critical as technology in determining whether the next phase of digital infrastructure build‑out succeeds.  In this previous episode of Sustainability Leaders, Rich Powell, CEO of the Clean Energy Buyers Association, discusses how innovative approaches – from data center flexibility to technologies such as geothermal and nuclear – are shaping the future of energy markets. Amazon Web Services was the focus of a previous podcast on the topic of energy-efficient data centers. Visit BMO for more thought leadership from Alma Cortes Selva with the BMO Climate Institute.

Asana CPO Arnab Bose breaks down how AI agents are transforming collaborative work management with multiplayer AI teammates that any team member can coach and correct.Topics Include:Asana is a collaborative work management platform used by 170,000+ companies worldwide.The "Pyramid of Clarity" connects individual tasks all the way up to company strategy.Asana's "work graph" maps tasks, teams, projects, and portfolios in one connected system.Generative AI now converts unstructured data like emails into structured project plans.Asana integrates directly with AWS, Gemini, and Claude to automate that conversion.AI Teammates are first-party agents that take on and complete tasks inside Asana.These agents work in multiplayer mode — visible, collaborative, and team-correctable.A third AI unlock is coming: letting any external agent builder plug into Asana's interface.Asana runs entirely on AWS, including a new FedRAMP moderate GovCloud deployment.AWS Marketplace listings help customers transact faster using existing AWS credits.Arnab advises startups to bet on AWS long-term rather than chasing short-term LLM trends.His 2026 prediction: multi-agent orchestration standards will be the enterprise AI battleground.Participants:Arnab Bose – Chief Product Officer, AsanaSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

As AI agents become part of day-to-day business operations, security leaders face a new set of questions around identity, autonomy, permissions, and control. In this episode of AWS Executive Insights, Pascal Bornet speaks with Steve Schmidt, Chief Security Officer at Amazon, about how organisations should approach security in an era shaped by AI agents and automation.Bornet and Schmidt discuss why agents should have their own identity, how companies should think about permissions and logging, and why human judgement still matters in high-stakes environments. They also cover the risks introduced by prompt injection, the role of external guardrails, and how AI is already helping defenders move faster against threats at scale.This episode offers a practical view of how security teams and business leaders can respond to the rise of AI agents, with clear actions companies can take now to build safer systems from the start.Learn more about AWS Agentic AI: https://aws.amazon.com/ai/agentic-ai/?trk=80F9DhCw5AKb6zC

Eight U.S. technology companies have signed formal agreements to deploy their frontier AI capabilities on the Defense Department's classified networks “for lawful operational use,” according to a Pentagon press release published Friday. DOD's new deals with SpaceX, OpenAI, Google, NVIDIA, Reflection, Microsoft, Amazon Web Services, and Oracle follow a major contract dispute between the department and Anthropic that culminated earlier this year over potential ethical constraints that accompany the use of AI in warfare and for national surveillance. “Integrating secure frontier AI capabilities into the Department's Impact Level 6 (IL6) and Impact Level 7 (IL7) network environments will streamline data synthesis, elevate situational understanding, and augment warfighter decision-making in complex operational environments,” officials wrote in Friday's press release. A bipartisan congressional push to codify a National Science Foundation-based artificial intelligence research enabler continued this week with the reintroduction in the Senate of the CREATE AI Act. The bill from Sens. Martin Heinrich, D-N.M., Todd Young, R-Ind., Mike Rounds, R-S.D., and Cory Booker, D-N.J., would establish the National Artificial Intelligence Research Resource (NAIRR) that would give AI researchers, educators and students more access to tools, data and other information to help develop new systems. Heinrich, founder and co-chair of the Senate AI Caucus, said in a press release that the NAIRR would go a long way toward “democratizing access to AI,” ensuring that American workers are prepared for the future and primed to lead “rapid advancements” with the emerging technology that boost the U.S. economy. 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.

This Day in Legal History: Freedom RidersOn May 4, 1961, the first Freedom Riders left Washington, D.C., by bus for New Orleans, beginning a direct challenge to segregation in interstate travel. The riders were an interracial group organized by the Congress of Racial Equality, and they set out to test whether Southern states and private carriers would follow federal law. The Supreme Court had already made clear in cases such as Boynton v. Virginia that segregation in facilities connected to interstate bus travel was unconstitutional. But in much of the South, those rulings existed more on paper than in practice. Bus stations, waiting rooms, lunch counters, and restrooms remained divided by race, often with the cooperation or indifference of local officials.The Freedom Riders deliberately entered that space between legal doctrine and daily reality. By riding together, sitting together, and using facilities marked for white and Black passengers, they forced the country to confront the failure of enforcement. Their journey showed that a constitutional right means little when states, businesses, and police can ignore it without consequence. The riders were met with arrests, intimidation, and mob violence, making the legal stakes impossible for federal officials to avoid. Their campaign placed pressure on the Kennedy administration and the Interstate Commerce Commission to act more forcefully.Later in 1961, federal regulators issued rules requiring the desegregation of interstate bus and rail facilities and the removal of segregation signs. The Freedom Rides therefore became more than a protest against Jim Crow transportation rules. They became a test of whether federal constitutional law could overcome local resistance. May 4 stands as the date when a small group of riders exposed the difference between winning rights in court and making those rights real in public life.New Mexico Attorney General Raúl Torrez won a major jury verdict against Meta in March, with jurors ordering the company to pay $375 million over claims that it concealed the harms Instagram and Facebook pose to minors and failed to protect young users from sexual exploitation, bullying, and harmful content. The next stage of the case is a bench trial before Judge Bryan Biedscheid, where the state will seek court-ordered changes to Meta's platforms and argue that the company's apps amount to a public nuisance. New Mexico is asking for a wide range of remedies, including safety warnings, stronger detection of child sexual abuse material, limits on teen usage, removal of infinite scroll, hidden like counts, restrictions on AI chatbot interactions with minors, and appointment of a child safety monitor. Meta argues that these requests are sweeping, technically unrealistic, and would effectively require a different version of Instagram to operate in New Mexico. The company also says some requested remedies, such as warning labels about teen mental health harms, would violate the First Amendment by compelling speech.Legal experts say the injunction phase may be even more significant than the damages award because it could reshape how digital platforms are designed and regulated. They also note that the case raises difficult questions about whether public nuisance law is an appropriate way to address alleged harms from social media platforms. The judge declined to delay the second phase, saying the evidence from the jury trial remains fresh and will help him evaluate the requested relief. The state argues the trial should be more streamlined than the first phase and says Meta cannot claim surprise over the public nuisance theory. Meta maintains that New Mexico is wrongly focusing on one platform while ignoring the many other apps teens use, and says the proposed mandates would interfere with parental rights and free expression.What To Watch For As Meta Stares Down NM Injunction Trial - Law360 UKThe Department of Defense announced new agreements with several major technology companies to bring their artificial intelligence tools into classified military network environments. The deals involve companies including Nvidia, Google, SpaceX, Reflection, Microsoft, and Amazon Web Services, and are meant to support lawful operational use of AI at high security levels. The Pentagon framed the move as part of a broader effort to make the U.S. military more AI-centered and to help service members make faster and better decisions across different areas of conflict.The announcement also emphasized that the department does not want to rely on only one AI company or model. Instead, it plans to offer access to a range of AI systems so it can preserve flexibility and avoid becoming dependent on a single vendor. Anthropic was not included in the new agreements, which is significant because the company is currently in litigation after the Pentagon labeled it a supply chain risk to national security. OpenAI had previously reached its own agreement with the Defense Department for use in classified settings and reportedly asked the department to include other AI companies as well.The Pentagon also said more than 1.3 million personnel have used its official AI platform, GenAI.mil. Amazon Web Services said it has long supported military technology needs and says it will continue helping the department modernize its systems.Pentagon Reaches AI Deals For Classified Network Use - Law360A federal appeals court temporarily blocked a 2023 FDA rule that allowed mifepristone, a drug used in medication abortion, to be dispensed by mail rather than in person. The unanimous decision came from a three-judge panel of the Fifth Circuit, which said Louisiana was likely to succeed in its challenge to the Biden-era rule. The ruling is not final, but it immediately narrows access to mifepristone, especially for patients in states that have banned or sharply restricted abortion.Louisiana argued that the FDA failed to adequately consider safety risks when it removed the in-person dispensing requirement. The Biden administration had defended the rule by pointing to evidence that mifepristone is safe and effective, with serious adverse events occurring in fewer than 1% of patients. Abortion rights advocates warned that restoring in-person dispensing rules would create confusion and make abortion care much harder to obtain. The decision comes amid a broader set of lawsuits over mifepristone, including challenges to the drug's original approval and later FDA rules expanding access.Drugmakers Danco Laboratories and GenBioPro have intervened to defend the FDA's regulation because their businesses depend heavily on mifepristone sales. The case may next go to the full Fifth Circuit or the U.S. Supreme Court. The ruling also intersects with newer fights over telehealth abortion prescriptions and state shield laws protecting providers in states where abortion remains legal.US court blocks mail-order access to abortion drugs, for now | Reuters This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.minimumcomp.com/subscribe

What if one of the most influential figures in modern technology had almost ignored the opportunity that would define his career? In this episode, I sit down with Werner Vogels, Chief Technology Officer at Amazon, to explore the story behind Amazon Web Services as it marks its 20th anniversary, and how a near-dismissed phone call turned into a front-row seat to one of the biggest shifts in computing history. Werner takes me back to the early days when Amazon was still seen as "just a bookstore," and shares what he discovered when he first stepped inside what he calls Amazon's "technology kitchen." What he found was a company solving problems at a scale that commercial software simply could not handle, forcing them to build everything themselves. That mindset would go on to shape everything from Dynamo to the foundations of modern cloud infrastructure. We also unpack the thinking behind one of the most important shifts in enterprise technology, the move from upfront licensing to pay-as-you-go. It sounds obvious now, but at the time it challenged how the entire industry operated, giving businesses the ability to experiment, scale, and take control of their own costs in ways that were not possible before. Looking ahead, Werner offers a refreshing perspective on AI and what he describes as a developer renaissance. While many headlines focus on replacement, he sees AI as a tool that amplifies human capability, placing even greater importance on curiosity, ownership, and collaboration. It is a reminder that while tools will continue to evolve, responsibility and decision-making still sit firmly with the people using them. This episode is a must-listen for anyone building, leading, or investing in technology. It connects the dots between past, present, and what comes next, showing how today's AI wave echoes the same patterns that shaped the cloud revolution. So as we look toward the next era of computing, the question is simple, are we ready to think at the scale required to build what comes next? Useful Links Connect with Werner Vogels Please check the partners of the Tech Tech Talks Network Learn more about the NordLayer Browser Visit Denodo.com

Andrew Wang and Arun Sundaram break down Amazon's (AMZN) blowout quarter as strong earnings and record margins reignite the bull case. They highlight accelerating growth at Amazon Web Services, now running at a $150B annual pace, and the company's expanding custom silicon strategy with Trainium and Graviton chips. The duo explains how internal chip adoption could drive major capex savings and asks whether Amazon ultimately becomes a merchant supplier of its proprietary data‑center hardware.======== Schwab Network ========Empowering every investor and trader, every market day.Options involve risks and are not suitable for all investors. Before trading, read the Options Disclosure Document. http://bit.ly/2v9tH6DSubscribe to the Market Minute newsletter - https://schwabnetwork.com/subscribeDownload the iOS app - https://apps.apple.com/us/app/schwab-network/id1460719185Download the Amazon Fire Tv App - https://www.amazon.com/TD-Ameritrade-Network/dp/B07KRD76C7Watch on Sling - https://watch.sling.com/1/asset/191928615bd8d47686f94682aefaa007/watchWatch on Vizio - https://www.vizio.com/en/watchfreeplus-exploreWatch on DistroTV - https://www.distro.tv/live/schwab-network/Follow us on X – https://twitter.com/schwabnetworkFollow us on Facebook – https://www.facebook.com/schwabnetworkFollow us on LinkedIn - https://www.linkedin.com/company/schwab-network/ About Schwab Network - https://schwabnetwork.com/about

Meet Ben Miller, Senior Vice President of Data Science and Analytics at Bonterra, and Tanuja Korlepra, Chief Technology Officer at Bonterra.  Starting the conversation, Ben shares his experience in fundraising analytics and industry research, while Tanuja mentions her background in big tech, including work with Amazon Web Services and Microsoft Azure, and her passion for using technology to drive meaningful impact.  The conversation introduces Bonterra as a mission-driven company that supports nonprofits through fundraising tools, donor engagement, and campaign management. Ben reflects on the early days of AI in fundraising, when predictive models faced skepticism, and contrasts that with today's rapid adoption following breakthroughs such as ChatGPT.  Tanuja and Ben discuss key AI concepts -predictive, generative, and agentic- and highlight Bonterra's innovation, "Bonterra Que," an intelligent AI coach designed to help nonprofits improve fundraising outcomes. They also address the challenges of AI adoption, encouraging organizations to focus on practical use cases rather than hype.  The episode closes with a strong emphasis on ethical AI, trust, and the shift toward outcome-driven solutions that empower nonprofits to achieve real-world impact more effectively.  HIGHLIGHTS [03:37] Overview of Bonterra and Its Mission   [06:40] Evolution of AI in Nonprofit Sector   [10:34] Challenges and Opportunities in AI Adoption   [15:09] Understanding Predictive, Generative, and Agentic AI   [20:54] Development and Impact of Bonterra Que   [30:01] Feedback and Success Stories from Bonterra Que Users   [33:27] Outcomes as a Service in Fundraising   [39:22] Responsible and Ethical Use of AI   Resources:  Connect with Ben and Tanuja:  LinkedIn (Ben): linkedin.com/in/ben-miller  Email (Ben): ben.miller@bonterratech.com    LinkedIn (Tanuja): linkedin.com/in/tanuja-korlepra  Email (Tanuja): tanuja.korlepra@bonterratech.com 

Discover how Detectify's hacker-DNA culture, multi-account AWS architecture, and Claude Code on Bedrock helped a lean security team deliver zero-day protection to customers before they even knew they needed it.Topics Include:Haris Kabiljagić leads cloud operations, data, and scanning at Detectify.Detectify started in 2013 as a group of ethical hackers in Stockholm.The platform continuously scans customers' attack surfaces for exploitable vulnerabilities.A global community of elite ethical hackers feeds real-world payloads into the engine.Early on, a centralized cloud team caused over 40 service disruptions monthly.A multi-account AWS strategy via Control Tower eliminated disruptions entirely.The hardest part of decentralizing wasn't technology — it was the culture shift.Cloud ops had to evolve from gatekeepers into enablers of secure, fast deployment.Detectify's architecture runs on three pillars: scalability, event-driven services, and security.MSK and Amazon MQ replaced self-hosted RabbitMQ, enabling true event-driven microservices.AWS Security Hub provides a single pane of glass for security posture visibility.When the CAPS zero-day hit, Detectify delivered a live test to customers same day.Customers logged in braced for panic — and found the threat was already handled.AI-assisted development via Claude Code on Bedrock accelerated code migration 30x.The team moved from five modules per week to 150, without sacrificing review quality.Success is now measured by speed of remediation, not volume of vulnerabilities found.A new internal scanner lets customers protect applications before they ever reach production.Detectify's roadmap: make security effortlessly native inside the pipelines teams already use.Participants:Haris Kabiljagić - Head of Developer Services, DetectifyJohan Broman – EMEA ISV, Head of Solutions Architecture, Amazon Web ServicesSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

Clearwater Analytics has gone from concept to over 800 AI agents in production, and Darrel Cherry, VP and Distinguished Engineer, shares the story behind that journey. In conversation with Arvind Mathur, Executive in Residence at AWS, Cherry traces how Clearwater built its own AI studio, multi-agent orchestration system, and no-code agent development environment before most of today's tools and frameworks even existed.Cherry also details how Clearwater ensures accuracy in a zero-error-tolerance industry, from building a custom LLM evaluation framework to maintaining full audit trails across every agent action. This episode offers leaders a practical blueprint for scaling AI from internal experimentation to enterprise-wide adoption, while maintaining the accuracy and trust that high-stakes industries demand.

In this episode, we break down what may be fueling Bitcoin's latest move toward $80K, analyzing whether whale activity and ETF inflows can signal a potential bottom to crypto winter as prediction markets increasingly "price in" upside scenarios. We also unpack the growing influence and controversy around Polymarket, including a high-profile case involving a $400K wager tied to the alleged arrest of Nicolás Maduro. On the AI front, we explore intensifying Big Tech competition, from Meta partnering with Amazon Web Services on AI chips to Google deepening ties with Nvidia-powered frontier labs. Finally, we dive into the blockbuster headline of SpaceX potentially acquiring Cursor for $60B. Remember to Stay Current! To learn more, visit us on the web at https://www.morgancreekcap.com/morgan-creek-digital/. To speak to a team member or sign up for additional content, please email mcdigital@morgancreekcap.com Legal Disclaimer This podcast is for informational purposes only and should not be construed as investment advice or a solicitation for the sale of any security, advisory, or other service. Investments related to the themes and ideas discussed may be owned by funds managed by the host and podcast guests. Any conflicts mentioned by the host are subject to change. Listeners should consult their personal financial advisors before making any investment decisions.

In this episode of In Depth, First Round Partner Josh Kopelman sits down with Shachar Hirshberg and Dan Shiebler, co-founders of Artemis, the AI-native security platform that just emerged from stealth with $70M in combined seed and Series A funding. Shachar and Dan unpack how they built a 30-person team in seven months, why AI-native companies are outperforming their AI-enabled counterparts, and why they plan to stay on a texting basis with every customer, even at scale. In today's episode, we discuss: How to interview for AI fluency when building an AI-native startup Why founder-market fit is a critical early signal for startup success The surprising lesson Dan learned from founder-led sales How Dan and Shachar are instilling customer-obsession into Artemis' culture How the two co-founders approach conflict and decision-making References: Abnormal: https://abnormal.ai Amazon Web Services (AWS): https://aws.amazon.com Anthropic: https://www.anthropic.com Artemis: https://artemissecurity.com CrowdStrike: https://www.crowdstrike.com Demisto (now Cortex XSOAR): https://www.paloaltonetworks.com/cortex/cortex-xsoar OpenAI: https://openai.com Palo Alto Networks: https://www.paloaltonetworks.com Todd Jackson: https://www.linkedin.com/in/toddj0/ Where to find Shachar Hirshberg: LinkedIn: https://www.linkedin.com/in/shachar-hirshberg/ Where to find Dan Shiebler: LinkedIn: https://www.linkedin.com/in/dan-shiebler-10219b42/ Where to find Josh: LinkedIn: https://www.linkedin.com/in/jkopelman/ Twitter/X: https://x.com/joshk Where to find First Round Capital: Website: https://firstround.com/ First Round Review: https://review.firstround.com/ Twitter/X: https://twitter.com/firstround YouTube: https://www.youtube.com/@FirstRoundCapital This podcast on all platforms: https://review.firstround.com/podcast Timestamps: 00:00 Introduction 00:06 What Artemis does and why now 02:51 Shachar's AWS and Palo Alto playbook 05:15 Dan's founder journey: From Twitter to Abnormal 08:51 Why founder-market fit is critical for startups 11:38 Finding the right moment to take the leap and build 13:52 The hiring process that powers a startup in stealth 16:58 Building a team centered on AI capabilities 21:48 How AI implementation changes dashboard metrics 23:22 The ICP they chased and the one they ignored 26:44 The magic of closing the first customers 27:49 The surprising signals of early product-market fit 32:06 Critical lessons from founder-led sales 33:51 Why the first product should make founders uncomfortable 36:03 Hiring 30 people while still in stealth 42:08 “Should we be arguing more?” 43:37 How the AI security market is evolving 49:03 Why AI-native beats AI-enabled company structure 51:09 The most surprising moments as a first-time founder

Alan Lasky arrived at the AI XR Podcast straight from Las Vegas ahead of NAB. An MIT Media Lab graduate under Nicholas Negroponte, a veteran of Silicon Graphics and Amazon Web Services, and an advisor to investment banks on AI and media, he brings technical depth, industry history, and financial realism about where media is actually going.The conversation covers Hollywood's structural collapse, AI's role in the production renaissance, and the harder question of why trillion-dollar tech companies keep buying media businesses that can't generate comparable returns. Alan's answer: soft power. Amazon makes $950 million Lord of the Rings spinoffs so you order more paper towels. Apple is making Neuromancer. His five-year weighted moving average of Disney stock — flat from 2018 — makes the argument clean.AI XR News You Should Know: Artemis ignited a new space boom. Amazon acquired Global Star satellite to build Project Kuiper, a direct Starlink competitor. Apple's AI audio smart glasses are reportedly arriving this year per Mark Gurman at Bloomberg, entering a market where Meta owns the optometrist channel and Google is moving through Warby Parker. Snap laid off 15% while doubling down on the 2026 launch of Spectacles — the first see-through headset since Magic Leap.Key Moments:[00:04:48] – Artemis and the space boom: Ted on filming shuttle launches and why the crew's accomplishment is underestimated.[00:08:33] – Apple AI audio glasses: Rony's read from former Magic Leapers who designed them — if Apple gets this wrong, it's unforgivable.[00:12:00] – Snap's layoffs and the see-through gamble: can they compete with cheap AI audio glasses flooding the market?[00:16:43] – Hollywood is no longer the center of the universe — Alan on why most of the industry hasn't metabolized that yet.[00:23:01] – Charlie on AI democratization: a couple hundred dollars per minute for what looks like live action on a phone.[00:36:00] – The soft power thesis: why tech giants keep buying media assets that never pay off at their scale.[00:41:30] – Should Apple buy Disney? Charlie says Meta will do it first. Rony's reaction is immediate and visceral.[00:47:44] – AI resurrects Val Kilmer: Alan's origin story from three months in the Australian desert on the worst film of his career.Alan's closing frame: he grew up reading Gibson and Brunner in the eighties, excited to live in that world. He's in it. He's not sure he wanted it this way.This episode is sponsored by Zappar and Mattercraft — the leading visual development environment for immersive 3D web experiences, now with AI-assisted design and debug. Build at mattercraft.io. Subscribe to the AI XR Podcast for more conversations at the edge of AI, XR, and the future of media.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Dynatrace's Chief Technology Strategist Alois Reitbauer explains how AI-powered observability is moving beyond monitoring to autonomously fixing software issues — and why the best AI doesn't replace human judgment, it sharpens it.Topics Include:Dynatrace helps global enterprise companies observe, optimize, and protect their software.The platform goes beyond monitoring — it takes automated action to fix issues.Business observability connects technical data to real-world operational decisions.Dynatrace has been investing in AI for 14 years, starting with root cause analysis.AI eliminates human confirmation bias when diagnosing critical system failures.Generative AI now enables Dynatrace to propose and implement code-level fixes.AI works best augmenting humans — like a GPS, not an autopilot.The Dynatrace-AWS partnership began with aligning on a shared long-term vision.Joint engineering calls and shared roadmaps made the two teams feel like one.Dynatrace experienced Amazon's famous silent document-reading meeting culture firsthand.Good partnerships require honesty, investment, and knowing when to say no.AI is maturing from an efficiency play toward genuine human augmentation.Participants:Alois Reitbauer – Chief Technology Strategist, DynatraceSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

What does it take to bring world-class connectivity to the billions of people and businesses that have never had reliable access? Tom Soderstrom, AWS Executive in Residence, and Chris Weber, VP of Business at Amazon Leo, share how Amazon Leo (formerly known as Project Kuiper) is building toward that vision one launch at a time, with over 200 satellites in orbit since this conversation took place in December 2025.Soderstrom and Weber discuss what sets Amazon Leo apart, from gigabit downlink speeds and private connectivity that never touches the public internet, to a customer-obsessed approach to service, support, and partnerships. This episode offers a compelling look at the technology, partnerships, and customer obsession driving Amazon Leo forward, and the global impact it stands to make along the way.

This week's episode covers the reopening of the Strait of Hormuz and explores how global markets, including crypto markets, may be reacting to shifts in risk sentiment and energy dynamics. We also dive into Allbirds' recent surge, as much as 600% in a single day, as it pivots toward an AI-driven strategy, raising questions around narrative-driven rallies. We also examine Objection AI, a Peter Thiel-backed startup aiming to adjudicate truth in journalism using AI; Factory's $150 million raise at a $1.5 billion valuation to scale AI agents for engineering teams; and Oracle and Amazon Web Services' deepening partnership for multicloud architecture and interoperability. Finally, in our Chart of the Week, we zoom out to assess a meaningful week for tech and AI equities, with potential standout performance from Microsoft, AMD, and Oracle. Remember to Stay Current! To learn more, visit us on the web at https://www.morgancreekcap.com/morgan-creek-digital/. To speak to a team member or sign up for additional content, please email mcdigital@morgancreekcap.com Legal Disclaimer This podcast is for informational purposes only and should not be construed as investment advice or a solicitation for the sale of any security, advisory, or other service. Investments related to the themes and ideas discussed may be owned by funds managed by the host and podcast guests. Any conflicts mentioned by the host are subject to change. Listeners should consult their personal financial advisors before making any investment decisions.

Today's show is sponsored by The Cost Segregation Guys. If you own investment real estate and haven't looked seriously at cost segregation, you could be leaving significant tax savings on the table. The Cost Segregation Guys help investors accelerate depreciation, improve near-term cash flow, and make more efficient use of capital, all without changing the underlying asset. In a business where preserving cash matters, that's worth paying attention to. If you're interested in learning more, click on the link in the show notes and you'll be able to connect with them directly, and qualify for a discount because you came from the show.  https://costsegregationguys.com/estateespressopodcast/--------------They need reliable power, redundant fiber, cooling systems, physical security, and enough land to support expansion. But today the site selection problem has become much more complicated. It is no longer just an engineering problem. It is also a legal problem, a geopolitical problem, and increasingly, a national security problem. It's those last elements that we're going to be talking about today. A number of recently published articles on data sovereignty all point to the same conclusion. Data sovereignty is not simply about where the server sits. It is about who controls the data, which laws can reach it, who holds the encryption keys, who operates the systems, and whether the data can be moved across borders in an emergency without violating local law. In other words, the old real estate mantra of location, location, location has a new cousin in the digital world, jurisdiction, jurisdiction, jurisdiction. Now add physical risk to the equation.Last month, Reuters reported that drone strikes damaged Amazon Web Services facilities in both the UAE and Bahrain. Amazon said the strikes caused structural damage, power disruption, and fire suppression incidents that led to additional water damage. In a separate Reuters report, Amazon described the recovery as prolonged. This was not a cyberattack. It was a physical attack on cloud infrastructure. That changes the conversation.Then there is political opposition. -----------**Real Estate Espresso Podcast:** Spotify: [The Real Estate Espresso Podcast](https://open.spotify.com/show/3GvtwRmTq4r3es8cbw8jW0?si=c75ea506a6694ef1)   iTunes: [The Real Estate Espresso Podcast](https://podcasts.apple.com/ca/podcast/the-real-estate-espresso-podcast/id1340482613)   Website: [www.victorjm.com](http://www.victorjm.com)   LinkedIn: [Victor Menasce](http://www.linkedin.com/in/vmenasce)   YouTube: [The Real Estate Espresso Podcast](http://www.youtube.com/@victorjmenasce6734)   Facebook: [www.facebook.com/realestateespresso](http://www.facebook.com/realestateespresso)   Email: [podcast@victorjm.com](mailto:podcast@victorjm.com)  **Y Street Capital:** Website: [www.ystreetcapital.com](http://www.ystreetcapital.com)   Facebook: [www.facebook.com/YStreetCapital](https://www.facebook.com/YStreetCapital)   Instagram: [@ystreetcapital](http://www.instagram.com/ystreetcapital)  

This week we talk about Project Glasswing, Anthropic, and Q Day.We also discuss exploit markets, vulnerabilities, and zero days.Recommended Book: The Culture Map by Erin MeyerTranscriptIn the world of computer security, a zero-day vulnerability is an issue that exists within a system at launch—hence, zero-day, it's there at day zero of the system being available—that is also unknown to those who developed said system.Thus, if Microsoft released a new version of Windows that had a security hole that they didn't know about, but someone else, a hacking group maybe, discovered before it was released, they might use that vulnerability in Windows or Word or whatever else to hack the end-users of that software.While large companies like Microsoft do a pretty good job, considering the scope and scale of their product library, of identifying and fixing the worst of the security holes that might leave their customers prone to such attacks, that same scope and scale also means it's nearly impossible to fill every single possible gap: a truism within the cybersecurity world is that defenders need to get it right every single time, and attackers only need to get it right once, and the same is true here. There's never been a perfect piece of software, and as these things expand in capability and complexity, the opportunity to miss something also increases, and thus, so does the range of possible errors and exploitable imperfections.Because of how damaging zero-days can be for both users of software and the companies that make that software, there are thriving marketplaces, similar to those that deal in other illicit goods, where those who discover such vulnerabilities can sell them, usually for cryptocurrencies or funds derived from stolen credit cards.Software companies have countered the increasing sophistication of these exploit black markets with white and grey market efforts, the former being direct payouts to hackers, basically saying hey, thanks for finding this bug, here's a lump-sum of money, a bug bounty, rather than punishing all hacking of their systems, which is how they would have previously responded, which had the knock-on effect of sending all hackers, even those who weren't looking to cause trouble, either underground, or actively hunting for bugs for the black market.The grey market is more complicated and diverse, and also the largest of marketplaces for those shopping around for these types of exploits. And it's populated by the same sorts of neverdowells who might frequent the exploit black markets, but also includes all sorts of governments and intelligence agencies, who scoop up these sorts of vulnerabilities to use against their opponents, or to deny them to others who might use them instead, against them.All sorts of governments, from the US to Russia to North Korea to Iran are regular shoppers on these computer system exploit grey markets, and that has created a complicated, entangled system of incentives, as is some cases, it's better for the US government, or Iranian government, or whomever, if the company making these systems doesn't know about a bug or other vulnerability, because they just spent several million dollars to buy a map to said bug or gap, which could, at some point in the future, allow them to tunnel into an enemy's computers and cause damage or steal information.What I'd like to talk about today is a new AI system that is apparently very, very good at identifying these sorts of exploits, and why this is being seen as a milestone moment for some people operating in the zero day, and overall computer security space.—On April 7, 2026, US-based AI company Anthropic announced Project Glasswing—a new initiative that is currently only available to 11 companies that's meant to help those companies shore-up their cyber defenses before more AI systems like the one that underpins Project Glasswing, which is called Mythos Preview, hit the market.So these companies, Amazon Web Services, Anthropic, Apple, Broadcom, Cisco, CrowdStrike, Google, JPMorganChase, the Linux Foundation, Microsoft, NVIDIA, and Palo Alto Networks, make a lot of stuff, and in particular make and maintain a lot of vital online and device-based software infrastructure, like operating systems and all the stuff that keeps things in our apps and on the web secure.Mythos Preview is a new model created by Anthropic, similar to their existing Claude models, but apparently vastly more powerful. There are tests that AI companies use to compare the potency of their models at a variety of task types, but those are generally considered to be flawed or game-able in all sorts of ways, so the main thing to know here is that Mythos did way better at most of those tests, especially the coding, the programming-related ones, than the other, currently most capable models, the ones that professional programmers, most of them anyway, are using these days. It was also able to do impressive and worrying things like break out of the sandbox that contained it, accessing the internet when it wasn't supposed to be able to do so.And because of that leap forward in programming capability, Mythos Preview was tasked by Anthropic with finding vulnerabilities in all sorts of software systems, including operating systems—Windows, macOS, iOS—and browsers, like Chrome and Firefox.Most AI systems, and most human coders, if they focus enough and look really hard for long enough, will tend to find some kind of vulnerability in just about anything, because this software is just that big and complex. But within a relatively short period of time, Mythos Preview found thousands of vulnerabilities in these systems, indicating that it's a lot better at this kind of task than the other AI available these days, and so Anthropic created this project, Project Glasswing, to give these entities a head-start, helping them fill these gaps and bolster their defenses, before everyone else on the planet, including foreign governments, hacker and terrorist groups, but also just everyday people, suddenly have the ability to identify and possibly exploit these vulnerabilities, on scale.This news hasn't been super widely reported in the non-tech press quite yet, but within the tech world, it landed like a hand grenade in a crowded room.And there are already quite a few perspectives on what this all means, including a fair bit of skepticism.On the skeptic side, many analysts have noted that it's a common tactic amongst AI companies to doomsay, to basically suggest that their models might end the world, might kill all of humanity, might dramatically change everything, put everyone out of work, maybe, not necessarily because the founders and employees at those companies believe that would be the case, but because the implication is that if these products are that powerful, well, investors should probably give them gobs of money, because a tool that could end the world or cause that much disruption might be the last tool available, or might become the next electricity or internet or whatever else. Claiming philosophical, humanistic concern for the super-weapon you just built, in other words, is one way for AI company leaders to say their product is superior to every other product ever while also seeming to suggest that they are the thoughtful, careful leaders that we need holding the reins of that sort of capacity.Other skeptics have said that while this might be a step-up in terms of the speed at which such vulnerabilities can be identified in these sorts of systems, other AI systems, existing ones, even open source, free ones, have been able to do the same for a while now. So while Mythos Preview might be even better at it, and might be capable of running constantly, finding more and more of these things for a government that wants to save money they might otherwise spend on the grey market, scooping these things up for use against their enemies, or for defensive purposes, sharing some of them with their homegrown tech companies, perhaps, smaller, less-moneyed groups can already do the same, if they're smart about how they apply existing, even free, lower-end AI systems.Others have responded to this announcement similarly to how some have responded to the concept of Q Day, short for Quantum Day, which refers to the hypothetical moment at which quantum computers finally become powerful enough to break the encryption that allows the internet, and banking, and government privacy systems to function. If these encryption keys can be broken—and quantum computers should theoretically be able to do this a lot better than conventional computers, because of their very nature—if and when that happens, if these systems aren't suitably prepared with new encryption that's hardened against quantum systems, the entire banking sector could collapse, everything hackable, all the money stealable, none of it trustworthy anymore. The same with the whole of the web, with apps, with government systems that keep things hidden away and classified, with energy grids. It could be chaos.The theory here, then, is that this type of AI, maybe Mythos Preview, maybe the other systems that it portends—because this whole industry seems to leapfrog itself every three or four months at this point, someone coming out with a big, cool, most powerful new thing, then their competitors coming out with something even more powerful within weeks or months—maybe these vulnerability-identifying and exploiting AI will result in something similar, all the world's software and encryption a lot more vulnerable, all at once, essentially tomorrow.It's more of what we've already seen with AI, basically, these tools providing anyone who uses them more leverage to do all sorts of things. Not necessarily creating anything new—exploits and vulnerabilities have always existed—but giving a skilled hacker the ability to find and exploit thousands of them in the same time it would have previously taken them to find and exploit just one. And it could also give unskilled, non-hackery people and entities similar capabilities.That creates a dramatically new cybersecurity landscape essentially overnight, and that's why, at least according to their press releases on the matter, Anthropic is not releasing Mythos Preview to the public, and instead is taking the Project Glasswing approach: they don't think other AI companies, like OpenAI or xAI, can be trusted not to just lob that grenade into the crowded room, so since they got there first, they're going to try to help everyone protect themselves from that grenade when it inevitably lands.This could, then, be quite the PR coup, giving Anthropic the opportunity to tout their superior products, while also allowing them to portray themselves as sort of the white knight in the AI world, helping everyone protect themselves, even though they probably could have made far more money by either selling the exploits and creating their own new market for them, or by somehow leveraging those exploits themselves.At the same time, it could be that they are overselling the capabilities of this new model, painting a rosy picture with them as the heroes, while in turn makes their products seem more powerful than they are in order to bolster their public perception and future economic potential.It could also be a bit of both; even those who are skeptical about this specific announcement and the implications of it do tend to agree it's likely we'll see more disruption from these sorts of models soon. Even if Mythos Preview isn't the grenade everyone's worried about, in other words, it's likely we'll face such a threat in the near-future, and even if Project Glasswing isn't the defense we need against such a threat, it's probably prudent that we be thinking about whatever it is we do need, and ideally building it, too, so it's ready to go, already in place, when that new threat lands.Show Noteshttps://www.nytimes.com/2026/04/10/briefing/claude-mythos-preview.htmlhttps://www.nytimes.com/2026/04/07/technology/anthropic-claims-its-new-ai-model-mythos-is-a-cybersecurity-reckoning.htmlhttps://en.wikipedia.org/wiki/Claude_(language_model)#Claude_Mythos_Previewhttps://www.newyorker.com/magazine/2026/04/13/sam-altman-may-control-our-future-can-he-be-trustedhttps://www.anthropic.com/glasswinghttps://www.wired.com/story/anthropic-mythos-preview-project-glasswing/https://stratechery.com/2026/myth-and-mythos/https://en.wikipedia.org/wiki/Zero-day_vulnerabilityhttps://en.wikipedia.org/wiki/Market_for_zero-day_exploits This is a public episode. 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