Podcasts about Amazon Web Services

Amazon Web Services CEO Matt Garman says the company will keep investing in capex. “Today, demand still significantly outstrips supply and we’re trying to build and invest to keep up with what customers are asking for." He talks to Bloomberg's Ed Ludlow.See omnystudio.com/listener for privacy information.

She credits three people with transforming her career trajectory at AWS and beyond. Tatiana got her into AWS. Wayne sponsored her advancement within it. Dan helped her break into venture capital as a partner at Felicis Ventures. She did not stumble into these relationships. She built them intentionally, maintained them with discipline, and gave back at every stage — even when what she could give seemed small compared to what she was receiving. Nancy was Director and General Manager at AWS Data Protection when this episode was recorded. She has since been promoted to CTO. She is also the founder of Advancing Women in Tech (AWIT), a venture partner at Felicis Ventures, and served on the board of UPenn's School of Engineering Online. She gave the commencement speech at the University of Pennsylvania. The central idea of that speech: build your personal board of directors. In this episode, she breaks down the full framework. You'll learn: Why she calls her personal board of directors the most important career strategy she has used, and what it gave her that mentors, managers, and luck could not. The three specific people on her board, what each one did for her, and how those relationships were built over time rather than asked for upfront. The right way to ask for raw, unfiltered feedback from someone who outranks you significantly — including why the first or second meeting is almost never the right time, and what you need to establish first. Why follow-through is a bigger differentiator than IQ, communication skills, or credentials. "They need to want it more than you want it for them" — the advice from her own board member that she now uses with every mentee she works with. How compound interest applies to professional relationships: why small, consistent gestures build more than a single impressive one, and what she does quarterly to keep her board relationships healthy without it feeling transactional. She was preparing to meet a Fortune 500 CEO to ask him to join her board. His dog had just had surgery. She planned to bring dog treats. The reminder: every successful person is still just a human being, and treating them that way is both the right approach and the most effective one. The Lululemon wardrobe mistake: her first Silicon Valley job, she bought a whole new wardrobe to fit in with the casual culture. Hated it. Didn't feel herself. What she learned about knowing who you are and using that as a career filter rather than a liability. Why at her leadership level she says no far more often than yes, why she uses Amazon's "have backbone, disagree and commit" principle to push back when the room disagrees with her, and what she tells her mentees about having the courage to hold the unpopular opinion. About Nancy: At the time of this recording, Nancy was Director and General Manager, AWS Data Protection at Amazon Web Services. She has since been promoted to CTO. She is also the founder of Advancing Women in Tech (AWIT), a venture partner at Felicis Ventures, and has served on the board of directors of the UPenn School of Engineering Online. AWIT's Coursera curriculum has reached tens of thousands of learners globally. Advancing Women in Tech: https://www.advancingwomenintech.org/

The rapid growth of artificial intelligence is creating enormous demand for advanced memory chips. As chip manufacturers move more of their resources toward High Bandwidth Memory, or HBM, the supply of traditional RAM and flash memory is being squeezed. In this episode, Skip Montreux and Samantha Vega examine the global memory shortage that has been dubbed “RAMageddon” and explain why it is increasing the cost of laptops, smartphones, cars, medical equipment, and many other products. Skip begins by explaining the three main types of memory involved in the current shortage. RAM allows computers and other devices to operate software, while flash memory stores data after a device has been turned off. High Bandwidth Memory, or HBM, is a faster and more powerful form of memory that is essential for running artificial intelligence systems and large language models. Skip and Samantha then look at why HBM production is reducing the supply of traditional memory. Producing one wafer of HBM can use the same manufacturing resources as three wafers of standard RAM. As demand for AI infrastructure increases, memory manufacturers are therefore moving more of their production capacity toward HBM. They also discuss the role of major technology companies such as Amazon Web Services, Alphabet, Meta, Microsoft, and Oracle. These companies are investing heavily in data centers, which require large amounts of HBM. This demand has encouraged manufacturers to prioritize the AI market over the consumer electronics market. The episode also examines Micron's decision to close its Crucial consumer memory brand and redirect resources toward HBM production. Next, Skip explains how HBM has disrupted the traditional boom-and-bust cycle of the memory chip industry. In the past, higher prices encouraged manufacturers to expand production. Once the new production capacity became available, supply increased and prices fell. However, strong and continuing demand from the AI industry has changed this familiar pattern. Finally, Skip and Samantha examine the consequences for businesses and consumers. Contract prices for RAM increased by between 90 and 95 percent, while flash memory prices rose by 75 percent. Delivery lead times have also extended beyond 58 weeks, and some manufacturers must pay for their orders in advance. These pressures are raising the cost of any product that requires computer memory. This episode helps listeners understand the global memory chip market while building practical Business English skills. In this episode, you will learn: What RAM, flash memory, and High Bandwidth Memory are. Why HBM is essential for artificial intelligence and data centers. How producing HBM reduces the manufacturing capacity available for standard RAM. How AI demand has disrupted the traditional boom-and-bust cycle of the memory industry. Why RAM and flash memory prices are increasing. How longer delivery times and advance-payment requirements affect manufacturers. Do you like what you hear? Become a D2B Member today for to access to our -- NEW!!!-- interactive audio scripts, PDF Audio Script Library, Bonus Vocabulary episodes, and D2B Member-only episodes. Visit d2benglish.com/membership for more information. Follow Down to Business English on Apple podcasts, rate the show, and leave a comment. Contact Skip, Dez, and Samantha at downtobusinessenglish@gmail.com Follow Skip & Dez Skip Montreux on Linkedin Skip Montreux on Instagram Skip Montreux on Twitter Skip Montreux on Facebook Dez Morgan on Twitter RSS Feed

Ignacio Vacchiano, country manager en Iberia de Leverage Shares, analiza los resultados que han publicado en las últimas horas de Apple y Amazon, la gran subida de Microsoft en la sesión de ayer y el buen rendimiento de las tecnológicas y la compañías de los semiconductores. “Apple no está tan metida en las inversiones de inteligencia artificial como el resto”, afirma el invitado. La compañía superó estimaciones con sus ingresos de 109.000 millones de dólares y su beneficio por acción de 2,02 dólares. Eso sí, proyecta un crecimiento de los ingresos de entre el 9 y el 10%, cuando el mercado esperaba un 11%. El experto señala que “el mercado estaba castigando esos crecimientos menores y la bajada en los servicios”. Amazon se está disparando en Bolsa gracias a su desempeño de Amazon Web Services, su facturación se ha disparado un 37% hasta superar los 42.000 millones de dólares. Su beneficio por acción de 5,75 dólares está casi cuatro dólares por encima de lo previsto y sus ingresos han superado los 200.000 millones, también superiores a lo estimado por los analistas. Su CEO, Andy Jassy, ha declarado en la llamada para analistas que destinarán este año más de 200.000 millones de dólares para inteligencia artificial. “El mercado sí que está mirando eso en qué te lo gastas y si realmente estás obteniendo resultados”, destaca el country manager en Iberia de Leverage Shares. La semana también ha estado marcada por la decisión de tipos de varios Bancos Centrales como el del Banco Inglaterra o la FED. Además, el Banco Central de Japón ha mantenido sin cambios los tipos de interés en el 1%. Desde el organismo señalan que la inflación subyacente en el país podría superar su objetivo del 2% a partir de la segunda mitad de su ejercicio fiscal de 2026. Estas decisiones están afectando el rendimiento de los bonos. “El mercado está diciendo o pensando no parece que quieras realme

Plus: Amazon reports higher revenue in the second quarter from its cloud-computing business. And a data-center developer working with Anthropic plans to borrow $15 billion for a new Texas campus, with backing from Google. Julie Chang hosts. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Discover the biggest announcements from XeroCon London 2026, including Xero Force, Partner Hub, Smart Document Capture, AI-powered automation, and what's next for accountants.   At XeroCon London 2026, Xero unveiled a wave of AI-powered innovations designed to help accountants and bookkeepers work more efficiently while supporting the needs of increasingly complex businesses. In this episode, Heather Smith speaks with Diya Jolly, Chief Product and Technology Officer at Xero, about the company's latest product announcements, the thinking behind its AI strategy, and how these developments will shape the future of the Xero ecosystem. XeroCon London 2026 highlights: Xero celebrates reaching five million subscribers and unveils major product announcements, including Xero Force, Xero Ultra and the new Xero Partner Hub. Smarter practice workflows: Learn how Book Health, Month End Readiness, Auto Bank Reconciliation and Smart Document Capture use AI to reduce manual work and improve bookkeeping accuracy. Building for larger businesses: Discover why Xero Ultra has been introduced and how Xero plans to support businesses as they grow without requiring a move to enterprise software. The future of AI at Xero: Diya explains Xero Force, AI agents, practical automation, and how AI is being embedded across the platform to help accountants deliver greater value. Lessons from the Australian outages: An open discussion about the AWS infrastructure incident, what happened behind the scenes, and how Xero is strengthening platform resilience. Whether you're an accountant, bookkeeper or Xero user, this conversation offers an inside look at the strategy, technology and product direction emerging from XeroCon London 2026. It provides valuable context behind the announcements and practical insights into how AI and automation are set to transform accounting workflows in the years ahead.   Apps & Tools Mentioned: Xero, Xero Partner Hub, Book Health, Month End Readiness, Auto Bank Reconciliation, Smart Document Capture, Hubdoc, Xero Files, Xero Force, Xero Ultra, Xero Payments, AWS, Amazon Web Services, OCR, JAX, AI Studio, Microsoft Copilot, ChatGPT   Episode resources and links: Diya Jolly Linkedin https://www.linkedin.com/in/diyajolly/ Xero https://www.xero.com/   If this episode helped you, the best way to support the show is to leave a review somewhere as it helps more people find us. And if you want to continue the conversation, come find me Heather Smith | Accountant and Storyteller on:   LinkedIn: https://www.linkedin.com/in/HeatherSmithAU/ Accounting Apps newsletter: http://accountingapps.io/ Accounting Apps Mastermind: https://www.facebook.com/groups/XeroMasterMind YouTube Channel: https://www.youtube.com/ANISEConsulting X: https://twitter.com/HeatherSmithAU

► kostenloses Startgespräch buchen: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://linkly.link/24kPi⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Wie du im Software Sales vom absoluten Anfänger zum Top Seller wirst, mit einem System. Jiri Siklar erzählt seine komplette Geschichte: vom ersten Cold Call mit Telefonangst bei Meltwater über Amazon Web Services bis zum Absturz und Comeback bei MongoDB.Du erfährst, warum SaaS Sales aus erlernbaren Mustern besteht, welche zwei Fehler im Cold Calling dich Termine kosten, warum deine Demo austauschbar ist. So kann ich dir im Sales helfen:zur Software Sales Formula: ⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.softwaresalesformula.com⁠⁠⁠⁠⁠⁠⁠⁠⁠zum Sales Gym: ⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.sales-gym.io⁠⁠⁠⁠⁠⁠⁠⁠⁠Kickscale:Extended Free Version: ⁠⁠⁠⁠⁠⁠⁠⁠⁠https://2ly.link/1zdl4⁠⁠⁠⁠⁠⁠⁠⁠⁠Timestamps:(0:00) Vom Anfänger zum #1 Seller im Software Sales(1:00) Außenseiter am Schulhof: das erste Muster(4:10) Der erste Cold Call — 3 Wochen, null Termine(6:00) Der Satz des Chefs: Sales besteht aus Mustern(7:00) Pattern Recognition, Utilization, Creation(8:40) Die 2 Cold-Call-Fehler: State und Ich-Fokus(12:20) SaaS Discovery-Fehler und die austauschbare Demo(14:20) Qualifizierung als fehlendes Muster(17:00) Der Mythos "Work hard" im Vertrieb(20:00) Sales = Qualität mal QuantitätInfos:⁠⁠⁠⁠⁠⁠⁠⁠⁠jiri@softwaresalesformula.com⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.softwaresalesformula.com⁠⁠⁠⁠⁠⁠⁠⁠⁠  ⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.sales.gym.io⁠⁠⁠⁠⁠⁠⁠⁠⁠ 

From alert to root cause in one minute - how PagerDuty built autonomous incident response on Amazon Bedrock, and the future of triage and trust. Topics Include:PagerDuty's agents must perform during 2am outages — stakes are highSoftware shipping accelerated dramatically; production environments largely did notA 9:30pm slowdown traced to a race condition solved two years earlierThe fix was documented — but the context wasn't at handPagerDuty Advance ships four agents: SRE, Scribe, Shift, InsightsWhy four, not one? Focus and predictability in non-deterministic systemsSaurabh Shanbhag: Bedrock is far more than a model serviceZero data retention, PrivateLink, TLS — why enterprises pick BedrockFrontier models everywhere burns tokens; classify, route, distill, fine-tuneSRE agent triages alerts before you even join the callOne minute to root cause — context beat raw intelligenceHuman surfaces versus machine surfaces: MCP and CLI move fastest"The model eats the harness" — every upgrade invalidates foundational componentsFeeding agents everything failed; compartmentalised investigation threads work betterNew York Life's three stages of trust, and the seatbelt override that wasn't Participants:Tom Hogarty - Senior Director Product Management, PagerDutySaurabh Shanbhag – Sr Partner Solution Architect, Amazon Web Services See how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

What happens to Big Tech's surveillance machine once Trump is gone? On this episode, Lance Wallnau sits down with guest John Reese to ask if Big Tech is quietly building the infrastructure of a "Beast" system, and why you need to protect your data now, while you still can. John Reese, a former dentist turned tech founder, breaks down what's actually written in Zoom's privacy policy (they collect your voiceprint and facial geometry), what really happened when Amazon Web Services shut down Parler and never returned its data, and why WhatsApp sold for $19 billion the same year it made $0 in revenue. Lance and John Reese connect the dots between Big Tech censorship, deep state overreach, and a coming wave of quantum computing that could break the encryption most of us rely on today. John Reese introduces Quanta, a quantum-resistant, encrypted communication platform he built as a private alternative to Zoom and WhatsApp, and explains what it actually means to protect your calls, texts, and data before the window closes. In this episode: – Christian entrepreneurship and the socialism trap – How COVID rules crushed small business, not big box stores – Parler shut down, data stolen by AWS – John Reese introduces Quanta: quantum-resistant secure communication – WhatsApp's $19B deal with $0 revenue – The Zoom clause about your voiceprint and face – Why even Signal may not be enough – John Reese's faith journey and why he builds what others won't Podcast Episode 2190: After Trump Will Big Tech Can Become A Big Beast? Protect Yourself! | don't miss this! Listen to more episodes of the Lance Wallnau Show at lancewallnau.com/podcast

Send us Fan MailIn this episode, Amith Nagarajan and Mallory Mejias unpack a rapidly shifting AI landscape where powerful, low-cost open-weight models from Chinese labs are challenging the dominance of major U.S. players. They explore Moonshot AI's Kimi K3 and Alibaba's latest model announcements, breaking down what “open” AI really means and why it's driving costs down while increasing competition. The conversation also dives into the growing geopolitical tension around AI, including potential U.S. government intervention and the risks and realities of using models developed abroad. Finally, they discuss a proposal from DeepMind's Demis Hassabis to introduce an industry “referee” for AI safety—and what it could mean for innovation. The big takeaway: intelligence is becoming abundant and affordable, and association leaders must rethink strategy now to take advantage of what's coming next. 

Une nouvelle technique d'attaque inquiète les spécialistes de la cybersécurité. Son nom : l'« OAuth Client ID Spoofing ». Selon Proofpoint, elle permet à des pirates de tester massivement des identifiants et des mots de passe sur Microsoft Entra ID, tout en restant presque invisibles dans les journaux de sécurité. Microsoft Entra ID, anciennement Azure Active Directory, gère l'authentification des utilisateurs et des applications. Chaque logiciel autorisé possède normalement un identifiant unique, appelé « client ID », comparable à un badge présenté à l'entrée d'un bâtiment. Les attaquants ont toutefois découvert qu'ils pouvaient envoyer des requêtes avec des identifiants falsifiés, inexistants ou malformés.Pour reproduire la méthode, Proofpoint a utilisé le protocole ROPC, qui transmet directement un nom d'utilisateur et un mot de passe au service d'authentification. Le danger vient des réponses renvoyées par Microsoft. Selon le code d'erreur obtenu, l'attaquant peut déterminer si le compte existe, si le mot de passe est incorrect ou si les identifiants sont valides mais que l'application présentée n'est pas reconnue. Ce dernier cas est particulièrement préoccupant : il permet de confirmer qu'un couple identifiant-mot de passe fonctionne, sans générer de connexion réussie. Dans les registres, seul un numéro d'application apparaît, sans nom associé. Les outils chargés de surveiller une application précise peuvent donc passer complètement à côté. Certaines règles d'accès conditionnel risquent également de ne pas s'appliquer. Proofpoint affirme avoir observé deux campagnes réelles. La première, baptisée UNK_pyreq2323, a débuté le 14 janvier 2026 depuis des serveurs Amazon Web Services. Elle aurait utilisé plus de 700 000 identifiants falsifiés pour viser plus d'un million de comptes dans près de 4 000 organisations. Environ 28 % des comptes ciblés auraient été automatiquement verrouillés.Une seconde campagne, UNK_OutFlareAZ, a débuté en décembre 2025 depuis une infrastructure Cloudflare. Elle aurait visé plus de deux millions d'utilisateurs avec 3,7 millions de faux identifiants. Les pirates semblent notamment tester des noms courants, comme jsmith ou msmith, dans des centaines d'entreprises. Proofpoint recommande donc de surveiller les connexions sans nom d'application et de ne plus considérer certains codes d'erreur comme de simples échecs sans conséquence. Hébergé par Acast. Visitez acast.com/privacy pour plus d'informations.

Despite the warm weather, Steve Caplin is not tempted by the Japanese human fridge in which overheated people can cool down for a mere £7,000. Nor is he inclined to shell out for the first mass-produced humanoid robot, a Chinese product, which looks either like something from a Kpop band or a sex doll. And while he is impressed by the video of an invisible drone, he wonders if they've considered how to use a camera with it. Cyborg cockroaches can now go underwater wearing a diving suit. ChatGPT has escaped from a sandbox and broken into a rival's system. There's a puzzling crowdfunded folding pry bar that goes ting and can open bottles while a podcast microphone is more impressive. Amazon Web Services has been glitchy and charging small users upwards of £5 billion. And the University of Sheffield is trying to grow salad, mustard, tomatoes and the like half a mile down an old coal mine. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Domo and AWS reveal how AI agents freed sales reps from 20 hours of weekly busywork, turning scattered data into real-time coaching and forecasting.Topics Include:Domo and AWS teams introduce today's session on AI agents in sales.Topic: using AI agents to transform sales operations, from insight to action.IT teams increasingly asked to turn data into actionable outcomes, not just access.Domo's CRO wanted AI agents to boost sales rep efficiency significantly.Reps act like "archaeologists," digging through scattered systems for basic context.This digging eats roughly 20 hours weekly, half of reps' time.Goal: personal AI agent per rep, understanding their book of business.Live demo begins: agent app surfaces urgent items needing attention.Agent tracks deal milestones, timelines, and forecasts from call and email data."Deal coach" feature grades rep performance and suggests next actions.Agent tone can be tuned from gentle to direct, aiding tough feedback.Architecture overview begins: building an AI-ready data foundation first.Data from CRM, calls, and emails flows into a cloud warehouse.Two agents built: automated deal analysis and personalized deal coach.Agents write insights back to CRM, preserving human edit control.Recipe: build foundation, activate with agents, distribute to people.Governance must be embedded throughout, not bolted on afterward.Second example: Fogo do Chão uses AI to analyze restaurant reviews.AWS architecture explained: Domo runs on Bedrock, defaulting to Anthropic models.Q&A: sales team adoption was immediate and enthusiastic post-rollout.Participants:Jason Longhurst – Head of Product Marketing, DomoAman Tiwari - Sr Solutions Architect, ISV, Amazon Web Services See how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

What happens when China drops open-weight AI models that rival Silicon Valley's best? This episode unpacks how a new wave of international AI releases is shaking up business, policy, and the future of innovation. Linus Torvalds to critics of AI coding in Linux: "Fork it. Or just walk away." Claude on X: "Beginning July 20, Claude Fable 5 will be included in all Max and Team Premium plans, at 50% of limits. Pro and Team Standard users will continue to have access to Fable via usage credits, and will receive a one-time $100 credit. Demand for Fable has been challenging to" China's Moonshot AI Unveils Kimi Model, Threatening America's Lead Alibaba's Qwen Unveils Preview of Flagship AI Model Social media limits are coming for teens across Europe The White House is now deciding who gets access to frontier AI models, not the labs Microsoft chief turns hostile on frontier AI labs, warns companies to guard their IP Meta Is Flooding the Market With Smartglasses. Privacy Advocates Are Up in Arms. Federal employees can download TikTok on government devices, DOJ says Amazon Web Services customers receive bills for up to $1.5tn after global glitch MLB cracks down on using AI via dugout iPads to help shape in-game decisions White House Teleprompter Operator Bet on Trump Speeches, Kalshi Says New York school district is testing lifelike robot teachers Host: Leo Laporte Guests: Harper Reed and Alex Wilhelm Download or subscribe to This Week in Tech at https://twit.tv/shows/this-week-in-tech Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: blackhat.com/us-26 and use code TWIT ZipRecruiter.com/twit ethos.com/twit arcticwolf.com/trends threatlocker.com/twit shopify.com/twit

What happens when China drops open-weight AI models that rival Silicon Valley's best? This episode unpacks how a new wave of international AI releases is shaking up business, policy, and the future of innovation. Linus Torvalds to critics of AI coding in Linux: "Fork it. Or just walk away." Claude on X: "Beginning July 20, Claude Fable 5 will be included in all Max and Team Premium plans, at 50% of limits. Pro and Team Standard users will continue to have access to Fable via usage credits, and will receive a one-time $100 credit. Demand for Fable has been challenging to" China's Moonshot AI Unveils Kimi Model, Threatening America's Lead Alibaba's Qwen Unveils Preview of Flagship AI Model Social media limits are coming for teens across Europe The White House is now deciding who gets access to frontier AI models, not the labs Microsoft chief turns hostile on frontier AI labs, warns companies to guard their IP Meta Is Flooding the Market With Smartglasses. Privacy Advocates Are Up in Arms. Federal employees can download TikTok on government devices, DOJ says Amazon Web Services customers receive bills for up to $1.5tn after global glitch MLB cracks down on using AI via dugout iPads to help shape in-game decisions White House Teleprompter Operator Bet on Trump Speeches, Kalshi Says New York school district is testing lifelike robot teachers Host: Leo Laporte Guests: Harper Reed and Alex Wilhelm Download or subscribe to This Week in Tech at https://twit.tv/shows/this-week-in-tech Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: blackhat.com/us-26 and use code TWIT ZipRecruiter.com/twit ethos.com/twit arcticwolf.com/trends threatlocker.com/twit shopify.com/twit

What happens when China drops open-weight AI models that rival Silicon Valley's best? This episode unpacks how a new wave of international AI releases is shaking up business, policy, and the future of innovation. Linus Torvalds to critics of AI coding in Linux: "Fork it. Or just walk away." Claude on X: "Beginning July 20, Claude Fable 5 will be included in all Max and Team Premium plans, at 50% of limits. Pro and Team Standard users will continue to have access to Fable via usage credits, and will receive a one-time $100 credit. Demand for Fable has been challenging to" China's Moonshot AI Unveils Kimi Model, Threatening America's Lead Alibaba's Qwen Unveils Preview of Flagship AI Model Social media limits are coming for teens across Europe The White House is now deciding who gets access to frontier AI models, not the labs Microsoft chief turns hostile on frontier AI labs, warns companies to guard their IP Meta Is Flooding the Market With Smartglasses. Privacy Advocates Are Up in Arms. Federal employees can download TikTok on government devices, DOJ says Amazon Web Services customers receive bills for up to $1.5tn after global glitch MLB cracks down on using AI via dugout iPads to help shape in-game decisions White House Teleprompter Operator Bet on Trump Speeches, Kalshi Says New York school district is testing lifelike robot teachers Host: Leo Laporte Guests: Harper Reed and Alex Wilhelm Download or subscribe to This Week in Tech at https://twit.tv/shows/this-week-in-tech Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: blackhat.com/us-26 and use code TWIT ZipRecruiter.com/twit ethos.com/twit arcticwolf.com/trends threatlocker.com/twit shopify.com/twit

What happens when China drops open-weight AI models that rival Silicon Valley's best? This episode unpacks how a new wave of international AI releases is shaking up business, policy, and the future of innovation. Linus Torvalds to critics of AI coding in Linux: "Fork it. Or just walk away." Claude on X: "Beginning July 20, Claude Fable 5 will be included in all Max and Team Premium plans, at 50% of limits. Pro and Team Standard users will continue to have access to Fable via usage credits, and will receive a one-time $100 credit. Demand for Fable has been challenging to" China's Moonshot AI Unveils Kimi Model, Threatening America's Lead Alibaba's Qwen Unveils Preview of Flagship AI Model Social media limits are coming for teens across Europe The White House is now deciding who gets access to frontier AI models, not the labs Microsoft chief turns hostile on frontier AI labs, warns companies to guard their IP Meta Is Flooding the Market With Smartglasses. Privacy Advocates Are Up in Arms. Federal employees can download TikTok on government devices, DOJ says Amazon Web Services customers receive bills for up to $1.5tn after global glitch MLB cracks down on using AI via dugout iPads to help shape in-game decisions White House Teleprompter Operator Bet on Trump Speeches, Kalshi Says New York school district is testing lifelike robot teachers Host: Leo Laporte Guests: Harper Reed and Alex Wilhelm Download or subscribe to This Week in Tech at https://twit.tv/shows/this-week-in-tech Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: blackhat.com/us-26 and use code TWIT ZipRecruiter.com/twit ethos.com/twit arcticwolf.com/trends threatlocker.com/twit shopify.com/twit

Is Cerebras Systems the next great AI chip stock or a red-hot IPO priced for perfection? In this episode of 7investing Live, Simon Erickson and executive producer Heather Horton welcome back Nick Rossolillo, co-founder of Chip Stock Investor, to break down three of the market's biggest stories.First up: Cerebras Systems (NASDAQ:CBRS), the wafer-scale chip maker that just IPO'd at a $40+ billion market cap. With 44GB of SRAM embedded directly on the chip, Cerebras was purpose-built to solve AI's "memory wall" problem for inference workloads. Now it's reportedly landed a ~$10 billion order from OpenAI and a deal with Amazon Web Services that could top $20 billion. Simon and Nick dig into whether these massive orders are real, how Cerebras stacks up against NVIDIA's GPUs and hyperscaler custom silicon, the TSMC capacity bottleneck that could throttle its growth, and how to value a company trading near 20x sales without profits.Then the conversation turns to Rocket Lab (NASDAQ:RKLB), which has pulled back from $150 to around $70 per share. Simon shares the latest iteration of his discounted cash flow valuation, and the duo debates the proposed Iridium acquisition — a deal that could pull Rocket Lab to EBITDA-positive on a pro forma basis — plus what the long-awaited Neutron rocket launch means for the company's future.Finally: Netflix (NASDAQ:NFLX). After another quarter of decelerating revenue guidance, is the streaming giant now a value stock rather than a growth stock? Nick explains why the advertising business hasn't reaccelerated growth the way he expected, and what he'd need to see before buying the dip.Plus: Nick's take on the recent chip stock sell-off across NVIDIA, AMD, Broadcom, SanDisk, and Kioxia and why "stocks go up, stocks go down" might be the healthiest way to think about it.Subscribe for more deep dives on AI infrastructure, semiconductors, and innovative growth stocks!Start your FREE 7-day trial of 7investing: https://www.7investing.com/subscribeFollow Nick and Casey Rossolillo at Chip Stock Investor: https://chipstockinvestor.comRocket Lab Deep Dive videos mentionedPart 1 https://youtu.be/AMDd0-JKUH0 (Deep Dive)Part 2: https://youtu.be/Z76xTGFNwBA (Valuation)Companies MentionedPublicly Traded:Cerebras Systems (NASDAQ:CBRS)Rocket Lab (NASDAQ:RKLB)Netflix (NASDAQ:NFLX)NVIDIA (NASDAQ:NVDA)Advanced Micro Devices (NASDAQ:AMD)Broadcom (NASDAQ:AVGO)Micron Technology (NASDAQ:MU)Taiwan Semiconductor Manufacturing (NYSE:TSM)Amazon (NASDAQ:AMZN)Alphabet (NASDAQ:GOOGL)Meta Platforms (NASDAQ:META)Iridium Communications (NASDAQ:IRDM)SanDisk (NASDAQ:SNDK)Kioxia Holdings (TSE:285A)Globalstar (NASDAQ:GSAT)SpaceX (NASDAQ: SPCX)Private / Pre-IPO:OpenAIAnthropicVideos Mentioned:https://www.youtube.com/watch?v=Z76xTGFNwBA&t=3shttps://www.youtube.com/watch?v=AMDd0-JKUH0&t=987sHere's the shifted chapter list, with all timestamps moved back 55 seconds:0:00 Welcome to 7investing Live0:54 Cerebras Systems: IPO recap & the Wafer-Scale Engine2:31 Is NVIDIA even the right comparison for Cerebras?5:38 The memory wall: why bigger AI models need new chips8:52 Latency vs. throughput — and the new AI alliances10:46 Are the $10B OpenAI & $20B Amazon orders real?14:02 Cerebras risks: how do you value a hot IPO?17:27 The TSMC capacity bottleneck20:01 Heather's take on Cerebras20:41 Rocket Lab: the sell-off & Iridium acquisition24:34 Simon's DCF valuation & price target for RKLB29:05 Why Neutron changes everything30:12 Q&A: Does Peter Beck carry an "Elon premium"?31:36 Netflix: buying opportunity or cheap for a reason?36:57 Q&A: Is Netflix a growth stock or a value stock?39:03 Chip stocks selling off: normal volatility or a warning?42:57 Wrap-up & final thoughts#7investing #Simonerickson #Cerebras #CBRS #NVIDIA #AIinvesting #semiconductors #chipstocks #RocketLab #RKLB #Netflix #NFLX #AIinference #stocks #investing #stockmarket #TSMC #AIdatacenters

What happens when China drops open-weight AI models that rival Silicon Valley's best? This episode unpacks how a new wave of international AI releases is shaking up business, policy, and the future of innovation. Linus Torvalds to critics of AI coding in Linux: "Fork it. Or just walk away." Claude on X: "Beginning July 20, Claude Fable 5 will be included in all Max and Team Premium plans, at 50% of limits. Pro and Team Standard users will continue to have access to Fable via usage credits, and will receive a one-time $100 credit. Demand for Fable has been challenging to" China's Moonshot AI Unveils Kimi Model, Threatening America's Lead Alibaba's Qwen Unveils Preview of Flagship AI Model Social media limits are coming for teens across Europe The White House is now deciding who gets access to frontier AI models, not the labs Microsoft chief turns hostile on frontier AI labs, warns companies to guard their IP Meta Is Flooding the Market With Smartglasses. Privacy Advocates Are Up in Arms. Federal employees can download TikTok on government devices, DOJ says Amazon Web Services customers receive bills for up to $1.5tn after global glitch MLB cracks down on using AI via dugout iPads to help shape in-game decisions White House Teleprompter Operator Bet on Trump Speeches, Kalshi Says New York school district is testing lifelike robot teachers Host: Leo Laporte Guests: Harper Reed and Alex Wilhelm Download or subscribe to This Week in Tech at https://twit.tv/shows/this-week-in-tech Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: blackhat.com/us-26 and use code TWIT ZipRecruiter.com/twit ethos.com/twit arcticwolf.com/trends threatlocker.com/twit shopify.com/twit

What happens when China drops open-weight AI models that rival Silicon Valley's best? This episode unpacks how a new wave of international AI releases is shaking up business, policy, and the future of innovation. Linus Torvalds to critics of AI coding in Linux: "Fork it. Or just walk away." Claude on X: "Beginning July 20, Claude Fable 5 will be included in all Max and Team Premium plans, at 50% of limits. Pro and Team Standard users will continue to have access to Fable via usage credits, and will receive a one-time $100 credit. Demand for Fable has been challenging to" China's Moonshot AI Unveils Kimi Model, Threatening America's Lead Alibaba's Qwen Unveils Preview of Flagship AI Model Social media limits are coming for teens across Europe The White House is now deciding who gets access to frontier AI models, not the labs Microsoft chief turns hostile on frontier AI labs, warns companies to guard their IP Meta Is Flooding the Market With Smartglasses. Privacy Advocates Are Up in Arms. Federal employees can download TikTok on government devices, DOJ says Amazon Web Services customers receive bills for up to $1.5tn after global glitch MLB cracks down on using AI via dugout iPads to help shape in-game decisions White House Teleprompter Operator Bet on Trump Speeches, Kalshi Says New York school district is testing lifelike robot teachers Host: Leo Laporte Guests: Harper Reed and Alex Wilhelm Download or subscribe to This Week in Tech at https://twit.tv/shows/this-week-in-tech Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: blackhat.com/us-26 and use code TWIT ZipRecruiter.com/twit ethos.com/twit arcticwolf.com/trends threatlocker.com/twit shopify.com/twit

Bloomberg reported that Jeff Bezos backed an AI startup focused on discovering new materials for chipmaking, with no company name or deal terms disclosed. The report aligns with rising use of AI in materials research, including DeepMind's 2023 GNoME results and a Microsoft and Pacific Northwest National Laboratory effort that produced a battery electrolyte candidate in under nine months. Amazon Web Services' custom chips, including Graviton, Trainium, and Inferentia, underscore strategic interest in semiconductor performance and supply. The CHIPS and Science Act authorized $52.7 billion in incentives and R&D, with 2024 awards of up to $8.5 billion for Intel, $6.6 billion for TSMC, and $6.4 billion for Samsung. Materials vendors such as Applied Materials, Lam Research, Tokyo Electron, JSR, Tokyo Ohka Kogyo, EMD Electronics, Entegris, Shin Etsu, and SUMCO shape qualification paths. Startups face long validation cycles and can pursue joint development, milestone based licensing, and data partnerships to reach production.Learn more on this news by visiting us at: https://greyjournal.net/news/ Hosted on Acast. See acast.com/privacy for more information.

AI is making it easier than ever to start a business. Side hustles are turning into startups, and more first-time founders are launching companies without a technical background. But while AI is lowering barriers to entry, going from a great idea to a real company comes with challenges, questions about security, scaling, and managing costs often arise as companies grow.Here to share with us how founders are navigating all of this is Deap Ubhi, Global Head of Technology for Startups at Amazon Web Services. https://aws.amazon.com/startups/  Moments with Marianne Radio Show airs in the Southern California area on KMET1490AM & 98.1 FM, an ABC Talk News Radio Affiliate!  https://www.kmet1490am.com Discover inspiring conversations with today's leading authors, celebrities, thought leaders, and change makers. To learn more about the Moments with Marianne Radio Show, explore guest interview opportunities, connect with Marianne, and follow her on social media, visit https://www.mariannepestana.com Explore the Moments with Marianne Book Club and find your next great read: https://www.mariannepestana.com/book-club/ Listen to the Moments with Marianne Radio Show on KMET 1490AM & 98.1FM, an ABC News Radio Affiliate, weekdays at 8:06 AM PT / 11:06 AM ET and Sundays at 10:06 AM PT / 1:06 PM ET. Learn more at: https://www.kmet1490am.com/moments-with-marianne 

The Pentagon placed an immediate freeze on forthcoming cybersecurity requirements after government research suggested the policy would drive many businesses out of the defense industrial base at a time when the U.S. military urgently needs their innovations. Defense Department Chief Information Officer Kirsten Davies and Under Secretary of Defense for Acquisition and Sustainment Michael Duffey unveiled plans earlier this week to suspend the much-anticipated Cybersecurity Maturity Model Certification (CMMC) Phase 2 requirements that were set to take effect Nov. 10. A new CMMC Reform Task Force is expected to conduct a review of the entire program and submit a report of its findings and recommendations within the next 60 days. This major pause comes as contractors have been hustling to obtain third-party assessments of their CMMC compliance in preparation for that near-term enforcement date. The Pentagon released a new request for information to garner stakeholders' feedback on the move and associated compliance challenges. The CMMC Reform Task Force will analyze the responses as part of its upcoming review of the program. Scale AI is joining the Department of Energy's Genesis Mission consortium, serving as the collaborative hub for working groups and structured partnerships, the vendor shared with FedScoop prior to its announcement Thursday. The technology provider is the latest private-sector partner to join DOE's Genesis Mission Consortium as the agency continues building up its roster. Emerald AI and SambaNova Systems have also jumped on board in recent weeks. For Scale AI, the partnership represents a further expansion of its role in the Genesis Mission and comes after it signed a memorandum of understanding earlier this year. “Scale's contribution to the Genesis Mission builds on the work we've been doing for years: creating high-quality evaluation benchmarks, preparing data for advanced AI systems, developing AI agents for complex workflows, and supporting computer vision and robotics applications,” a Scale AI spokesperson told FedScoop. DOE launched the consortium in February as a way to deepen public-private partnerships that it believes will fuel the larger initiative. Scale AI joins the likes of Accenture, Amazon Web Services, Databricks and IBM. 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.

Welcome to Health-e Law, Sheppard's podcast exploring the fascinating health tech topics and trends of the day. In this episode, partner and host Sara Shanti sits down with Erik Pupo, Director of Commercial Health IT at Guidehouse, to discuss how healthcare's push toward greater connectivity and data sharing creates new cybersecurity risks, and what health systems need to do to stay ahead of emerging threats.   What we discuss in this episode: The current cybersecurity landscape for hospitals and health systems What TEFCA is and why it matters for healthcare data sharing The core cybersecurity practices providers of all sizes should have in place Cautionary tales from the field that emphasize the importance of maintaining a strong cybersecurity program   About Erik Pupo Erik Pupo has spent more than 25 years advising healthcare organizations on technology, cybersecurity and business transformation. As Director of Commercial Health IT Advisory at Guidehouse, he helps healthcare organizations modernize their IT infrastructure as a principal strategist in cloud, security, data and AI. Prior to joining Guidehouse, Erik served as Global Principal Practice Manager for Healthcare Cybersecurity at Amazon Web Services, helping health systems navigate the security challenges of moving critical infrastructure to the cloud. Before that, he served as Chief Information Officer at Columbia University Irving Medical Center, leading IT strategy and operations for one of the nation's most complex academic medical environments.  Earlier in his career, Erik spent nearly a decade in global consulting, first as Senior Manager at Deloitte, where he led health IT initiatives for the Office of the National Coordinator for Health IT, the Department of Defense, and the Department of Veterans Affairs. He later served as Managing Director at Accenture, where he led strategic and technological transformation initiatives for providers, payers, and life sciences companies across North America.   About Sara Shanti A partner in the Corporate practice group in Sheppard's Chicago office, and co-lead of the firm's Digital Health team, Sara Shanti's practice sits at the forefront of healthcare technology by providing practical counsel on novel innovation and complex data privacy matters. Using her medical research background and HHS experience, Sara advises providers, payors, start-ups, technology companies, and their investors and stakeholders on digital healthcare and regulatory compliance matters, including artificial intelligence (AI), augmented and virtual reality (AR/VR), gamification, implantable and wearable devices, and telehealth. At the cutting edge of advising on "data as an asset" programming, Sara's practice also supports investment in innovation and access to care initiatives, including mergers and acquisitions involving crucial, high-stakes and sensitive data, medical and wellness devices, and web-based applications and care. Contact Information Erik Pupo Sara Shanti   Thank you for listening! Don't forget to SUBSCRIBE to the show to receive new episodes delivered straight to your podcast player every month. If you enjoyed this episode, please help us get the word out about this podcast. Rate and Review this show on Apple Podcasts, Amazon Music, or Spotify. It helps other listeners find this show. This podcast is for informational and educational purposes only. It is not to be construed as legal advice specific to your circumstances. If you need help with any legal matter, be sure to consult with an attorney regarding your specific needs.

In this episode of The Product Podcast by Product School, Carlos González de Villaumbrosia sits down with Saral Jain, SVP of Engineering at Snapchat, the last independent social platform operating at global scale, with 956 million monthly active users closing in on the one billion mark and a community that opens the app more than 30 times a day. Saral joined Snap nine years ago, right around the IPO, after nearly a decade leading engineering teams at Amazon Web Services, and today leads all engineering for Snapchat, spanning product experiences, multi-cloud infrastructure, and the company's machine learning and generative AI platforms.What you'll learn:How Snap lets designers and product managers ship production code, with an AI agent running the first review pass on 90% of code within 5 minutesWhat Casper is: the AI teammate any team at Snap can invoke from Slack or Jira to build a working prototype from a conversationHow Snap turned company-wide AI adoption into business impact after early prototypes were being built and thrown awayHow lean startup squads mix engineers, designers, and data scientists to launch zero-to-one bets inside a mature platformKey takeaways:Quality control does not have to slow down who gets to ship, it has to change what reviews the work firstWidespread AI adoption is not the same as business impact, and the gap between the two is where most AI investment is being wasted right nowSmall, cross-functional teams with blurred roles can move faster than traditional org structures, even inside a billion-user companyCredits:Host: Carlos Gonzalez de VillaumbrosiaGuest: Saral JainSocial Links:Find out more about Product School hereFollow our Podcast on TikTok hereFollow Product School on LinkedIn here

In this episode, Larry OBrien and Erica Voss explore the critical but often overlooked topic of cybersecurity in supply chain solutions. They discuss the challenges, emerging technologies, and strategies to build resilient, trustworthy supply chains in a digital and AI-driven world.#supplychain #security #cybersecurity #digitaltransformation, #ai #cloudsecurityKey topics:- Cybersecurity in supply chain solutions- Impact of digital transformation and AI on security- Building cyber resilience and trust in supply chains- The role of continuous monitoring and zero trust- Cyber threats and attack vectors in modern supply chains- Use of AI for security and red teaming- Software Bill of Materials (SBOM) and supply chain transparency- The importance of a dedicated cyber trust armGuest name:Dr. Erika Voss serves as Blue Yonder's Chief Security Officer. In this role, she is spearheading the vision, strategy, and execution of comprehensive and industry-leading security measures. She is focused on application security, access control, authentication, third-party risk management, and intrusion detection, ensuring robust security frameworks and compliance with industry standards and regulations. Erika boasts a distinguished cybersecurity career spanning over two decades. She has held high-level positions at renowned companies such as Capital One, Salesforce, Oracle Public Cloud, Microsoft, and Amazon Web Services.  Recognized for her exceptional leadership and contributions to the industry, Erika was awarded the CISOs Connect's Top 100 Accelerated CISOs Award (A100), which honors emerging security leaders, and Supply & Demand Chain Executive's Women in Supply Chain Award in the DEI Pioneer category. Erika holds a Ph.D. in Cybersecurity from Northcentral University, along with a master's in Security Administration and a bachelor's in Computer Operations Technology from Southwestern College.Resources:Blue Yonder - https://blueyonder.comOWASP Gen AI Red Teaming Guide - https://owasp.org/www-project-automated-threat-modeling/MITRE Atlas Framework - https://attack.mitre.org/resources/--------------------------------------------------------------------------Would you like to be a guest on our growing podcast? If you have an intriguing, thought provoking topic you'd like to discuss on our podcast, please contact our host Jim Frazer or Our Producer Tom CabotView all the episodes here: https://thesustainabilitypodcast.buzzsprout.com

CNBC reported that Apple is in talks with a startup that specializes in compressing AI models to run on iPhones. The move aligns with Apple's strategy to execute more AI locally, reducing reliance on cloud infrastructure and lowering latency. On-device AI relies on techniques such as quantization, pruning, and distillation to fit models within CPU, GPU, and Neural Engine limits. The shift could reduce cloud inference costs that depend on GPUs from providers like Amazon Web Services, Microsoft Azure, and Google Cloud. Competitors including Google, Samsung, Qualcomm, and Meta are advancing on-device AI capabilities. Founders should benchmark compact models, assess battery impact, and decide which features should run locally versus in the cloud.Learn more on this news by visiting us at: https://greyjournal.net/news/ Hosted on Acast. See acast.com/privacy for more information.

What if getting rid of customers quickly is actually bad for business? That's the case Pasquale DeMaio, VP of Amazon Connect Customer, makes on this week's episode of The Modern Customer Podcast. His point: if your AI strategy is built around deflection, you're not saving money—you're handing customers straight to your competitors. We also dig into how deterministic and agentic AI work together, and why AI should make people's jobs better, not just shorter conversations. This episode is sponsored by Amazon Web Services. Click the link to learn more: https://fandf.co/4fu6tAd #sponsored #AWS #AmazonConnect #amazonconnectcustomer #CCWVegas Blake Morgan was called "The Queen of CX" by Meta. She is a customer experience futurist and author of three books on customer experience. Follow Blake Morgan on LinkedIn For regular updates on customer experience, sign up for her weekly newsletter here. Learn more at www.blakemichellemorgan.com 

Artificial intelligence is moving at a pace few organizations have ever experienced, but how much of today's AI adoption is driven by real business value versus fear of being left behind? This week on That Tech Pod, we sit down with Steven Walchek, Founder and CEO of Liminal, for a conversation about what separates companies that are genuinely transforming with AI from those simply putting on a show.Steven shares how growing up around entrepreneurs in Silicon Valley shaped his approach to building companies, his experiences helping scale innovation at Amazon Web Services and FIS, and the lessons learned from launching multiple startups and achieving three successful exits. Along the way, he explains why every major technology wave creates both incredible opportunities and very expensive mistakes.We also dig into why so many organizations fall into "innovation theater," whether executives are adopting AI because of business strategy or fear of missing the next big thing, and which technologies from the past two decades proved to be underrated or wildly overhyped. Steven offers an honest perspective on where enterprise AI is heading, what regulated industries need to get right, and the AI investments companies may look back on with regret just a few years from now.If you're trying to separate AI hype from lasting business value, this is an episode you won't want to miss.Steven Walchek is the Founder and CEO of Liminal, where he helps large regulated enterprises securely scale generative AI with the right balance of governance, visibility, and multi-model access. He's spent more than 15 years building and scaling companies across fintech, cloud, and enterprise software, focused on turning emerging technologies into real operational advantage. Before Liminal, Steven was EVP and Chief Innovation Officer at FIS, where he led corporate venture initiatives, launched new business lines, and built multiple subsidiary companies. Earlier in his career at Amazon Web Services, he worked on early machine learning and cloud infrastructure initiatives while helping expand the partner ecosystem and drive new revenue growth. He's also been involved in three successful exits, including DebtMarket, the fintech company he co-founded and later sold to Intercontinental Exchange. Today, he focuses on helping regulated industries adopt AI at scale without losing control, security, or trust.

Curious how AI can query your enterprise data without moving it or making things up? AWS and Teradata break down a trustworthy analyst agent built for real production use.Topics Include:Neha Wadhera (AWS) introduces Trinath Yarlagadda and the Teradata Analyst AgentEnterprise AI data prep is costly, stalling most orgs at experimentationAgent answers plain-English questions via traceable SQL, zero data movementBarrier removal drives 3.7x ROI and 40% productivity gainsHealthcare demo setup: hospital COPD readmissions, ~$10K cost per incidentFour design principles: traceability, no data movement, deterministic-first, governance as codeMain orchestrator agent plans, writes SQL, calls Teradata MCP serverComplex questions escalate to a context-isolated data scientist agentBuilt on Claude Agent SDK, running Bedrock Claude Sonnet/Haiku/OpusLive demo: COPD readmission rates explored through iterative agent reasoningDelegation demo: data scientist agent runs in-database analysis, surfaces factorsPre/post tool hooks log every step and cost to CloudWatchAgent hosted on Amazon Bedrock AgentCore, fully serverless and scalableAgentCore delivers runtime, memory, identity, and observability out of the boxLessons learned: guardrails first, deterministic ops, multi-agent registry, ongoing evaluationParticipants:Trinath Yarlagadda – Principal Solution Architect – Agentic AI, TeradataNeha Wadhera – Sr Solutions Architect, Amazon Web Services See how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

Interview with Craig Hallworth, President & CEO of Gunnison CopperOur previous interview: https://www.cruxinvestor.com/posts/gunnison-copper-tsxgcu-new-pea-with-18-24-month-pfs-timeline-9611Recording date: 8th July 2026Gunnison Copper is positioning itself as a rising U.S. copper producer under new CEO Craig Hallworth, who recently stepped up from CFO following a leadership transition. The company has rapidly advanced its operations, bringing the Johnson Camp mine in Arizona into production within 18 months and using that momentum to progress its much larger flagship Gunnison project, which could supply up to 10% of current U.S. refined copper demand.A major priority has been financial restructuring. Gunnison successfully eliminated legacy secured debt in early 2026 and settled convertible debentures at a significant discount, strengthening its balance sheet and improving investor confidence. Institutional ownership has grown substantially, reflecting increased market credibility.Operationally, Johnson Camp is already producing copper cathode using Rio Tinto's Nuton leaching technology, with output sold domestically, including to Amazon Web Services. The project has also qualified for U.S. federal tax credits and may benefit from additional state-level incentives.The flagship Gunnison project presents compelling economics, with an estimated after-tax value of nearly $2 billion and a 22.5% internal rate of return. Despite this, the company trades at a steep discount to peers. Management attributes this gap to its earlier-stage development status and sees significant upside as permitting, drilling, and feasibility work advance.A key differentiator is Gunnison's integrated acid plant strategy, designed to mitigate supply chain risks and reduce reliance on imported sulfuric acid. Combined with an already-permitted site and low litigation risk, this supports a streamlined development pathway.With a large-scale drilling program underway and ongoing metallurgical testing, Gunnison aims to expand its resource base and attract a strategic partner ahead of a targeted construction decision by mid-2028, aligning with growing U.S. demand for domestically sourced critical minerals.View Gunnison Copper's company profile: https://www.cruxinvestor.com/companies/gunnison-copperSign up for Crux Investor: https://cruxinvestor.com

Shriram Sridharan is the Co-founder and CTO of Rox, an AI-first revenue operating system that helps enterprise sales teams research accounts, automate workflows, and act on timely customer insights. He helps lead the company's product and technical strategy, building AI agents that make sales processes more focused, efficient, and repeatable. Before Rox, Shriram held engineering leadership roles at Confluent and Amazon Web Services, where he worked on scalable data and cloud infrastructure. His work focuses on using AI to turn complex revenue operations into practical systems that help teams win. In this episode… Enterprise sales can do more than track leads and manage deals — it can surface the right signals, automate repetitive work, and give teams more time to build customer relationships. But what separates a sales team using AI as another tool from one using AI agents to actually move revenue forward? Shriram Sridharan, a technical leader who has built large-scale systems at AWS and Confluent, says the key is using revenue agents to automate or augment the entire revenue lifecycle. He highlights the importance of connecting customer data, public signals, and internal workflows so AI can handle account research, meeting preparation, outbound personalization, and RFP detection. Instead of forcing account executives to switch between tools or spend hours on manual research, Shriram explains how agents can deliver the work behind the scenes with a human in the loop. The result is a more focused sales organization where teams spend less time on grunt work and more time generating pipeline, preventing churn, and growing revenue. In this episode of the Inspired Insider Podcast, Dr. Jeremy Weisz sits down with Shriram Sridharan, Co-founder and CTO of Rox, to discuss how revenue agents are reshaping enterprise sales. Shriram breaks down AI agent orchestration, sales signals, data warehouses, outbound automation, and RFP detection. He also shares his founder journey and key influences.

This Omni Talk Retail Fast Five segment explores Amazon Web Services' $1 billion investment to embed AI engineers directly inside customer organizations. Chris Walton and Ben Miller explain why AI success is no longer about choosing the right model. Instead, they argue that adoption, implementation, and business context will determine which retailers gain a lasting competitive advantage. They also discuss why Amazon believes retailers need hands-on support to move AI from experimentation to everyday operations. ⏩ Tune in for the full episode here: https://youtu.be/-pwAnA4c7Co

Clare Liguori, a Senior Principal Engineer who works on developer tooling and agentic AI at Amazon Web Services, speaks with host Sri Panyam about the Amazon Strands Agents SDK. This episode explores the philosophy, design decisions, and emerging patterns behind building production-grade AI agents. Clare frames any agent as three core components: a model, a set of tools, and a prompt. During this interview, she describes the origin story of Strands, the model-driven approach vs. workflows and custom orchestration, steering hooks, tools and MCP, sub-agents and multi-agents, memory layers, production readiness, testing and evaluation starting with use cases where trajectories can be evaluated deterministically, and anti-patterns for newcomers. She describes what's next for Strands, and offers some closing advice for getting results from working with agents

In this week's OmniTalk Retail Fast Five, sponsored by the A&M Consumer and Retail Group, Mirakl, Ocampo Capital, Quorso and Veloq, Chris Walton was joined by recurring Fast Five favorite Ben Miller, independent retail analyst and former VP of Content at Shoptalk, to discuss: • Kroger's $1.65 billion acquisition of Giant Eagle, and whether the deal says more about Kroger's growth strategy or the mounting pressures facing the grocery industry: https://progressivegrocer.com/kroger-acquire-giant-eagle-165b • Amazon Web Services investing $1 billion to embed AI engineers directly inside customer organizations, and why the AI race is shifting from choosing models to driving adoption and execution: https://chainstoreage.com/news-briefs/2026-07-01?article=amazon-invests-1-billion-embed-ai-engineers-clients • Lowe's bringing its third-party Marketplace directly into stores through My Red Vest, and why empowering associates to sell marketplace products could become a blueprint for high-service retail: https://www.modernretail.co/operations/lowes-makes-it-easier-to-order-decorative-geese-above-ground-pools-and-other-marketplace-items-in-over-1700-stores/ • New Jersey's proposed ban on surveillance pricing and pause on new electronic shelf label installations, and whether lawmakers are protecting consumers or unintentionally slowing grocery innovation: https://progressivegrocer.com/new-jersey-passes-bill-banning-surveillance-pricing-pausing-esls-grocery-stores • Amazon giving shoppers and AI assistants access to up to a full year of product price history, and how greater price transparency could reshape the future of agentic commerce: https://chainstoreage.com/news-briefs/2026-06-29?article=amazon-offers-agentic-shoppers-365-days-price-history Plus, in this week's Lightning Round, Chris and Ben debate Britain's love of rotisserie chicken, Wimbledon traditions, Jordan Henderson's unfortunate Wonderwall injury, outrageous World Cup ticket resale prices, decorative lawn geese, inflatable holiday decorations, and much more. P.S. Be sure to check out all our other podcasts from the past week here, too: https://omnitalk.blog/category/podcast/ P.P.S. Also be sure to check out our podcast rankings on Feedspot: https://podcasts.feedspot.com/retail_podcasts/ Music by hooksounds.com

In Episode 108 of the Cybersecurity Readiness Podcast Series, Dr. Dave Chatterjee is joined by Scott Harrell, President and Chief Executive Officer of Infoblox and former leader of Cisco's $20 billion enterprise networking business — to examine one of the most consequential security blind spots in modern enterprise governance: the foundational network infrastructure layer that every other security investment depends on, and that almost no organization actively governs.The episode opens with the October 2025 Amazon Web Services outage, in which a single automated misconfiguration in a core routing service triggered a global cascade that took down AI services, financial platforms, and consumer applications worldwide, producing an estimated $581 million in losses. The cause was not a sophisticated cyber attack. It was a governance decision that had never been made — nobody was actively watching the foundational layer. That event becomes the opening frame for a conversation about DNS, DHCP, and IP address management: the three-part infrastructure, collectively known as DDI, that assigns every device an address, maps every application name to a network location, and routes every piece of digital traffic to its destination. When it works, it is invisible. When it fails — or when an attacker exploits it — everything built on top of it stops.Harrell's central argument is structural: 92% of all malware relies on DNS for its initial call-out to attacker-controlled infrastructure. The first thing any malware does when it lands on a network is resolve a malicious domain — and if that DNS request is blocked, the entire incident cascade never occurs. The payload is never downloaded. Lateral movement never begins. Privilege escalation never follows. The problem is that most enterprise security stacks are built to detect and respond to malware after it has activated — not to intercept the first domain resolution that enables everything that follows. This is the difference between reactive and preemptive security, and it is a governance choice that shows up in budget allocations: currently, only 5% of enterprise security spending goes to preemptive activities, with 95% consumed by detection and response. Gartner projects that organizations will need to reach a 50/50 split by 2030.The conversation addresses how to make the governance case for foundational infrastructure investment, what differentiated DNS security looks like, how agentic AI is about to make network complexity exponentially harder to manage, and what three metrics every senior leader should be demanding from their security teams. Analyzed through Dr. Chatterjee's Commitment–Preparedness–Discipline (CPD) Framework, the episode reframes network infrastructure security from an IT operational matter into a board-level governance imperative. The episode's core message is neither technical nor vendor-specific: the organizations that will withstand the next breach are not those with the most sophisticated detection tools — they are those that have decided to govern the layer on which everything else depends.To access and download the entire podcast summary with discussion highlights - https://www.dchatte.com/episode-108-the-invisible-foundation-why-dns-security-is-the-governance-gap-no-one-is-watching/Connect with Host Dr. Dave ChatterjeeLinkedIn: https://www.linkedin.com/in/dchatte/ Website: https://dchatte.com/Books PublishedThe DeepFake ConspiracyCybersecurity Readiness: A Holistic and High-Performance ApproachArticles & Cases PublishedChatterjee, D. (2026). The Cryptographic Reckoning: Why Quantum Readiness Begins with Agility, Not Algorithms, The INFORMS Analytics Magazine, June 26, 2026Chatterjee, D. (2026). The New Digital Fragility: How AI-Enhanced Cyber Threats Are Reshaping Operational Resilience, The INFORMS Analytics Magazine, March 4, 2026Chatterjee, D. (2026). Root: Automating the Remediation Gap, Ivey Publishing, Jan 7, 2026.Ramasastry, C. and Chatterjee, D. (2025). Trusona: Recruiting For The Hacker Mindset, Ivey Publishing, Oct 3, 2025.Chatterjee, D. and Leslie, A. (2024). “Ignorance is not bliss: A human-centered whole-of-enterprise approach to cybersecurity preparedness,” Business Horizons, Accepted on Oct 29, 2024.Isik, O., Chatterjee, D., and Lourenco, D.A. (2024). “Getting Cybersecurity Right,” California Management Review — Insights, Accepted for Publication, July 8, 2024. Chatterjee, D. (2023). “Mission critical – How American Cancer Society successfully and securely migrated to the cloud amid the pandemic,” I by IMD, March 13, 2023.Chatterjee, D. (2022). “Preventing security breaches must start at the top,” I by IMD, September 28, 2022, Institute for Management Development, Lausanne, SwitzerlandChatterjee, D. (2022). “Making Cybersecurity Readiness Mainstream,” Executive Blog Post, NETSPI, March 1, 2022Benz, M. and Chatterjee, D. (2020). “Calculated Risk? A Cybersecurity Evaluation Tool for SMEs,” Business Horizons, available online from May 4, 2020Chatterjee, D. (2019). “Should Executives Go To Jail Over Cyber Attacks,” Journal of Organizational Computing and Electronic Commerce, Vol

Send us Fan MailThis week's enterprise software developments highlight the accelerating convergence of AI, automation, and platform consolidation across multiple technology categories. Reshift Media launched Franify to help franchise organizations modernize marketing execution, while Sprinklr expanded its customer experience capabilities through its Spring '26 release. In the AI space, NeuBird AI raised significant funding to advance agentic AI for production operations, and Xoople secured substantial investment to build an AI-ready system of record for geospatial and Earth-scale data. Meanwhile, Advantive detailed its Advantive ONE platform strategy, and AppDirect announced plans to acquire PartnerStack to strengthen ecosystem and partner management capabilities. Amazon Web Services expanded its AI portfolio by introducing Claude Opus 4.7 to Amazon Bedrock, while BlackLine unveiled its Agentic Financial Operations model to transform finance workflows. Certinia introduced Veda, an intelligent operations engine designed to enhance business execution, and Copado launched Agentia, a Salesforce-first delivery platform aimed at streamlining software development and deployment. Collectively, these announcements demonstrate how vendors are embedding intelligent agents, operational automation, and connected data architectures into core enterprise processes to improve productivity, decision-making, and business agility.In today's episode, we invited a panel of industry analysts for a live discussion on LinkedIn to analyze current enterprise software stories. We covered many grounds including the direction and roadmaps of each enterprise software vendors. Finally, we analyzed future trends and how they might shape the enterprise software industry.Video: https://www.youtube.com/watch?v=NXz-mbRHMowQuestions for Panelists?

Longtime IT industry leader Teresa Carlson has joined Anthropic to lead its public sector strategy as the artificial intelligence company navigates relationships with the U.S. and other governments. Carlson — who is known for her past leadership at Microsoft and Amazon Web Services — is now Anthropic's global head of public sector, the Claude maker shared Tuesday. She is the first person to hold that title at the company. “After more than two decades helping government leaders navigate new technologies, I joined Anthropic because it prioritized working alongside government early and takes this as seriously as anything it does,” Carlson said in a written statement shared with FedScoop. “AI is changing how we work and how we live, and that change has to happen in collaboration with governments.” Multiple U.S. Army internet subdomains were defaced in a 404 hijacking campaign, CyberScoop has confirmed. As of Monday morning, error pages on two U.S. Army websites – oil.army.mil and ai2c.army.mil – displayed defacement messages visible to users. The messages denigrated President Donald Trump and United States Ambassador to Türkiye Tom Barrack, called to “FREE KURDISTAN,” And included another line reading “Kurdish sr was here.” One of the websites, oil.army.mil, belongs to the Army's Open Innovation Lab, a test bed for software and cyber capabilities established in 2020. The other belongs to the Artificial Intelligence Integration Center, established in 2019 to integrate AI technologies into the Army and train personnel on emerging technologies. The defacements were initially discovered by independent cybersecurity researcher Ronald Lovelace, who notified U.S. Army officials and CyberScoop. 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.

Learn how Vercel's "self-driving infrastructure" vision pairs with AWS databases to eliminate backend friction, securely cutting Aurora Serverless creation time from minutes to seconds.Topics Include:Hedieh Zandi (Vercel) and Manbeen Kohli (AWS) introduce prompt-to-production sessionVercel powers 18 million developers, maintains Next.js and AI SDKVercel's agentic infrastructure runs on AWS Lambda, CloudFront, and S3AI now generates frontend, APIs, and workflows for small teamsBackend friction remains: credentials, provisioning, database configuration still hardVercel envisions "self-driving infrastructure" that adapts automatically to appsNew AWS partnership brings native Aurora DSQL and Postgres integrationManbeen explains databases now built into Vercel Marketplace and v0Aurora Serverless database creation sped up from minutes to secondsAurora Postgres, DynamoDB, and DSQL scale prototypes without rewritesPre-configured templates help builders start RAG or shopping AI appsDatabase security uses OIDC and IAM tokens, no stored passwordsAWS chosen for agents: low latency, autonomy, one-click simplicityskills.sh gives agents reusable instructions, mirrors AWS Kiro's "powers"v0 lets users build full-stack apps using natural language promptsv0 uses Bedrock models and deploys directly on Vercel infrastructureLive demo: v0 builds restaurant app, provisions database, adds Stripe checkoutDemo ends at AWS console; Rauch quote and hackathon close sessionParticipants:Hedieh Zandi - Product Lead, VercelManbeen Kohli - Director of Product Management, Aurora and RDS Databases, Amazon Web Services See how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

This was upside down week in AI news.

Phil Le-Brun and Jana Werner are enterprise strategists at Amazon Web Services, based in London. Phil was previously a corporate VP and international CIO at McDonalds. Jana was formerly at DHL and studied uncertainty dynamics in academia. They are authors of The Octopus Organization: A Guide to Thriving in a World of Continuous Transformation published by Harvard Business Review Press. Octopus's are nimble and amazing, as anybody who has watched the 2020 Oscar-winning documentary My Octopus Teacher will verify. In contrast, the Tin Man model we know from The Wizard of Oz needs constant oil and is too rusty and rigid to function well on its own for long. This episode's guests lean into the Octopus model, which is about earning trust and evading, in this case, the enemy within ourselves when it comes to not admitting mistakes and quickly learning from them. The value of a strong feedback loop, creating an technology infrastructure that is “thin” and allows for freedom, and not chasing metrics that prevent you from learning from anecdotal evidence of where change is necessary: those are among the topics that lively conversation pursues. A final key point the authors make is that at a time when investment in executive learning has tripled while other personnel developments remain flat is a mistake; now more than ever, human capabilities need to be built upon in an era of rapid innovation. Real Transformations: Business Change That Works from the Inside Out is co-hosted by Julie Anixter and Dan Hill, PhD, entrepreneurs with deep experience as corporate change agents, devoted to helping companies make continuous change work for everyone through clarity and connection. To learn about their keynote talks, workshops and labs, check out Real-Transformation.com. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/new-books-network

This CEO Is Helping Netflix & Paramount + Stream Videos Faster & Better. Meet Mr. Sharon Carmel, CEO of Beamr $BMRGuest: Mr. Sharon Carmel, CEO of Beamr $BMRGuest Bio: Mr. Carmel is founder and CEO of Beamr. He is a serial entrepreneur with a proven track record in the video and software space. In 1994, Mr. Carmel co-founded Emblaze (LON: BLZ), which developed the first video chips for Samsung Mobile. The company went public in 1996, and in 2000 reached a peak market cap of ~$7 billion. In 2002, Mr. Carmel founded his second start-up, BelnSync, which developed P2P synchronization and online backup technologies, and was acquired in 2008 by Phoenix Technologies (Nasdaq: PTEC).Company Beamr (Nasdaq: BMR), is a world leader in content-adaptive video compression, trusted by top media companies including Netflix and Paramount. Beamr's perceptual optimization technology (CABR) is backed by 53 patents and a winner of Emmy® Award for Technology and Engineering. The innovative technology reduces video file sizes by up to 50% while preserving quality and enabling AI-powered enhancements.Beamr powers efficient video workflows across high-growth markets, such as media and entertainment, user-generated content, machine learning, and autonomous vehicles. Its flexible deployment options include on-premises, private or public cloud, with convenient availability for Amazon Web Services (AWS) and Oracle Cloud Infrastructure (OCI) customers.Website: https://beamr.com/

June 30, 2026: New research from Ramp Economics Lab and Revelio Labs shows that companies spending the most on AI are not shrinking the fastest. They are actually growing headcount faster, including in entry-level roles many assumed would disappear first. Then I get into Amazon Web Services' $1 billion push to build a new unit of embedded AI engineers, sending teams directly into customer organizations to help turn AI pilots into real work. The bigger story is that AI is not simply replacing jobs. It is changing which jobs grow, which skills matter, and where the real bottleneck is. 

What would your organisation look like if it worked more like an octopus — distributed, adaptive, and capable of sensing and reacting without waiting for instructions from the centre? In this episode of the Digital HR Leaders podcast, David Green is joined by Phil Lebrun and Jana Werner, Executives in Residence at Amazon Web Services and authors of The Octopus Organization, to explore why so many transformations fail to stick — and what a more adaptive, human approach to change actually looks like. Join them as they discuss:What the octopus organisation metaphor is, and why it offers a different model to the traditional, hierarchical "Tin Man" organisation The three themes — clarity, ownership, and curiosity — that separate organisations that adapt well from those that don't Why transformation can no longer be treated as a one-time event HR's evolving role in driving and supporting transformation How to measure whether change is actually working, beyond vanity metrics Real examples of leaders and organisations putting these ideas into practice This episode is sponsored by Valence. Nadia, Valence's AI coaching platform, connects talent strategy to the work employees are actually doing — offering coaching from the frontline to the boardroom, and surfacing organisational insights that weren't visible before. As the most widely deployed coach in the Fortune 500, Nadia is already helping global leaders like Nestlé, Delta, CVS, and Kraft Heinz transform talent at scale. Learn more at valence.co/insight222Resources:The Octopus Organization by Phil Lebrun and Jana Werner Hosted on Acast. See acast.com/privacy for more information.

Kaltura's Ruthie Eisenberg and Yair Neumann reveal how the video giant is reinventing itself as an agentic digital experience company built on AI avatars and hyper-personalized content.Topics Include:Kaltura founded 2006, went public on NASDAQ in 2021.Kaltura reinventing itself from video company to agentic digital experience company.Shift from static content delivery to hyper-personalized conversational experiences.Partners and customers now demand intelligence, not just video infrastructure.Kaltura's mission: powering agentic experiences across customer and learner journeys.AWS co-sell motion strengthened as Kaltura runs on AWS AI infrastructure.Camille used a Kaltura avatar to scale her own presentations.Most enterprise websites bury content behind thousands of static links.Kaltura builds personalised web pages on the fly, in real time.Over 80% of content users see is surfaced for the very first time.Acquisitions of eSelf.ai and PassFactory complete Kaltura's agentic content flywheel.PassFactory answers: what should this specific person see next?eSelf.ai enables multimodal conversational avatars that guide users emotionally.20 years of behavioral data underpins Kaltura's content intelligence advantage.GPU scarcity and compute costs shape every AI architecture decision Kaltura makes.Kaltura optimises model tiers — strongest for planning, lighter models for execution.Fidelity, speed, and cost form a constant triangle in every AI product decision.Go-to-market and product teams now work closer together than ever before.Pricing shifting from seat-based SaaS to consumption and outcome-based models.Kaltura co-creating pricing frameworks with customers across different verticals.Internal product agent now handles research, stories, and data analysis autonomously.Small two-to-three person squads move fastest in the current AI environment.Yair's advice: fail at least once a week, succeed once a quarter.Kaltura scaled its CEO via avatar for a live investor earnings call.Ruthie's advice: keep the customer at the centre of every single decision.Participants:Ruthie Eisenberg – Vice President, Strategic Partnerships, KalturaYair Neumann – Senior Vice President of Product, KalturaKamil Davidov – Sales Leader Israel ISV-BizApps, Amazon Web ServicesJohan 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/

She Moved to the US with $800, Changed Her Name to Fit In, and Built a Career at Merck, Oracle, Tableau, and Amazon. Helen on Going From Terrified to Outspoken Her legal name is Hongyi, which means "the water is deep and wide." When she moved to the United States from China, she changed it to Helen so people could pronounce it more easily. She arrived with $800. She was terrified. At grad school, she barely had to speak. Then she entered the workforce. Her first significant feedback at Merck: "You need to improve your communication." She was too intimidated to ask what that meant. So she made assumptions, started listening to radio broadcasts during her long New Jersey to Pennsylvania commute, and repeated every word she heard, even when she didn't know what some of them meant. She also completely changed how she structured her thinking: lead with the statement, give details only if someone asks. Helen is now Head of Data Analytics Partner GTM at Amazon Web Services. She has built her career across Merck, Oracle, Tableau, and AWS, switching domains multiple times from chemist to engineer to customer management to partner sales. In this episode, she breaks down exactly how she got here. You'll learn: Why she was too scared to ask her first senior leader what "improve your communication" actually meant, what assumptions she made instead, and how that experience shaped the way she now gives and asks for feedback. The Oracle account management idea she developed during the 2008 financial crisis, why she had no idea who to pitch it to, and what happened when she decided to pitch it to everyone who would listen: "I talked to anyone and anyone. And it worked." How that pitching-to-everyone strategy led her to the sponsor who first backed her idea, then backed her career, and why she believes sponsors select you rather than the other way around. The three factors she attributes to attracting a sponsor: visibility (being seen under pressure), adding value to the sponsor specifically, and consistency doing simple things reliably rather than many things sporadically. The senior Oracle executive who told her "everything can be simplified into three bullet points" and why that one insight transformed how she communicated with leadership for the rest of her career. What it actually looked like behind the "fast career" others saw from outside: 15-hour days, PowerPoint decks rebuilt at 4am and still not good enough, and switching domains so many times she felt perpetually behind. Why she credits letting other people shine and giving credit generously as one of the most underrated career moves she made, and how she discovered it mattered more than she expected. Her three closing principles: know your superpower, find your passion, and pay it forward because we have all been helped up the ladder at some point. About Helen: Head of Data Analytics Partner GTM at Amazon Web Services, Helen has built her career across Merck, Oracle, Tableau, and AWS, moving from chemistry to computer engineering to enterprise sales to partner leadership. An immigrant who arrived in the US with $800, she now mentors and sponsors others on the same journey.

AI-generated code is no longer just producing low-quality pull requests. According to AWS Principal Engineer and Valkey core maintainer Madelyn Olson, the quality of AI-assisted contributions has improved dramatically in just the last few months.In this episode of Screaming in the Cloud, Corey Quinn and Madelyn discuss how AI is changing open source development, the growing burden on maintainers, and how projects like Valkey are using AI to find bugs, improve security, and harden production systems. They also explore Valkey's continued growth, the future of software development, and why experience, operational knowledge, and community still matter in an age where code is becoming cheaper to create. *Since this episode was recorded without video, we thought it was the perfect opportunity to get creative with AI!Show Highlights: (00:00) Open Source Stability Push(00:32) Reinvent Afterglow Banter(01:40) AI PRs Get Better(04:36) Whimsy Versus AI Slop(06:14) AI Security Hunting Reality(09:12) Maintainers Adapt to AI(11:28) Valkey Fork Wins Adoption(14:43) Fighting the AI Tidal Wave(23:45) Next Five Years and Roadmap(27:02) Release Woes and Where to FollowAbout Madelyn: Madelyn Olson is a co-creator and core maintainer of Valkey, a high-performance key-value datastore, and a Principal Engineer at Amazon Web Services (AWS). She specializes in building secure, highly reliable systems and is passionate about collaborating with open-source communities. In her role at Amazon, Madelyn serves as a Principal Software Development Engineer for Amazon ElastiCache and Amazon MemoryDB, where she focuses on advancing distributed data technologies and contributing to the growth and success of the Valkey project.Sponsored by: duckbillhq.com

AJ Bubb has spent the last 15 years helping organizations navigate one of the most difficult challenges in business: turning ambitious ideas into meaningful change.Throughout his career, he has operated at the intersection of technology, leadership, and transformation, working with organizations ranging from global enterprises to rapidly growing mid-market companies. Early roles with Accenture and Amazon Web Services (AWS) gave AJ a front-row seat to some of the world's most ambitious innovation initiatives. Those experiences shaped a perspective that continues to guide his work today: technology alone does not create transformation—people do.Over the years, AJ witnessed both sides of the innovation equation. He saw organizations invest heavily in emerging technologies without achieving meaningful results, and he saw others create lasting competitive advantages by taking a thoughtful, human-centered approach to change. The difference between those outcomes became the foundation of his career.Today, AJ is the founder of MXP Studio, a fractional AI strategy consultancy focused on helping mid-market organizations successfully adopt and integrate artificial intelligence. Working primarily with companies in the $50 million to $500 million range, he helps leadership teams identify practical opportunities for AI, build realistic implementation roadmaps, and execute transformation initiatives without disrupting culture, overwhelming employees, or creating unnecessary risk.In addition to his consulting work, AJ is the host of Facing Disruption, a growing leadership-focused platform with nearly 40,000 followers. Through candid conversations with executives, founders, and innovators, he explores the realities of leading through uncertainty, disruption, and technological change. The show was born from a simple observation: the most valuable leadership conversations often happen behind closed doors. AJ's mission is to bring those conversations into the open, helping leaders learn from one another's successes, failures, and hard-earned lessons.AJ is also a contributor to the Forbes Technology Council and the founder of Convia, an early-stage technology venture. As a strong advocate for hands-on experimentation, he believes leaders should actively use the technologies they discuss. His commitment to learning through building has placed him at the forefront of AI-accelerated development and the emerging world of "vibe coding." In less than 60 days, AJ generated more than 980,000 lines of code on the Lovable platform, earning recognition among the top 1% of users globally.What distinguishes AJ is his pragmatic approach to innovation. He does not chase hype cycles or make exaggerated promises about the future of AI. Instead, he focuses on helping leaders understand both the opportunities and the realities of technological transformation. Having witnessed AI implementations fail, transformation programs stall, and leadership teams struggle under the weight of constant change, he brings an honest and balanced perspective to every conversation.At the same time, AJ has seen what is possible when organizations get it right. He has watched leaders unlock new levels of productivity, innovation, and growth by combining emerging technologies with strong leadership, clear communication, and a people-first mindset.Whether speaking on a podcast, advising executives, or leading strategic discussions, AJ's message remains consistent: successful transformation is not about technology. It is about people. The organizations that thrive in the age of AI will not be those that adopt the most tools—they will be the ones that empower their people to use those tools with purpose, confidence, and clarity. 

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.

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.