Podcasts about Amazon Web Services

What does Amazon Web Services (one of the worlds largest companies) have to do with agriculture? A lot more than most farmers probably realize. Dr. Karen Hildebrand joins Farm4Profit at Tech Hub LIVE to explain how AWS supports agricultural technology companies around the world and why she believes successful innovation has to start by working backward from the problems farmers actually need solved. Karen brings a unique perspective as both a technologist and a fourth-generation Manitoba farmer. The conversation explores the explosion of AI tools, how farmers can avoid technology overload, and why there probably isn't a single AI "golden nugget" that's suddenly going to make a farm profitable. Instead, Karen encourages farmers to use technology to eliminate the parts of the job they hate while protecting the relationships and experiences they value most.  The crew also tackles data, trust, connectivity, ag startups, data centers, and what AI could mean for the next generation. Karen explains why trust may be more valuable than data itself, why farmers should give technology companies honest feedback, and why AI could represent a technological shift as significant as the transition from horses to automobiles. 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.

Demandbase's Vice President of Product explains why they deleted a fully-approved AI architecture two months before launch — and how the rebuild surpassed some of their customer's highest expectations.Topics Include:AWS's Achint Naveen introduces Demandbase's VP of Product, Chad HoldorfDemandbase unifies sales, marketing, and revenue data into one viewNovember's architecture used many specialized agents, all committee-approvedThat design failed constantly — only a 30% conversation pass rateOn May 11th, the team deleted the entire architectureRebuilt in May with AWS Strands: one simpler, flexible agentPass rate leapt from 30% to 94% almost overnightWeek two retention rose from the low 20s to upper 80sWeekly active users grew 45% week-over-week after launchReal customer interviews play, calling the new AI a "dream"One user cut an hour-long report down to fifteen minutesCustomers now trace ad impressions directly to closed dealsHoldorf's advice: delete and rebuild when architecture gets too complexAWS's Naveen walks through Bedrock, AgentCore, and StrandsAgentCore Memory highlighted as Demandbase's next area of explorationParticipants:Chad Holdorf – Vice President of Product Management, DemandbaseAchint Naveen – Sr Account Manager, 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/

In the Hermiston and Boardman area, there are more than seven active data centers owned and operated by Amazon Web Services. Last year, the city of Hermiston annexed 800 acres of land to AWS, paving the way for more in the future. And while some have shared concerns about the environmental impact these data centers have, they have brought their communities millions of dollars. For the city of Hermiston, Amazon’s operations have funded renovations to the library, city hall and most recently, a water treatment facility for Umatilla County.

In this episode of the Ecomm Breakthrough Podcast, host Josh Hadley shares nine vital lessons from over a decade of e-commerce experience, having scaled his own brand from zero to eight figures. He covers key topics including the difference between opportunistic selling and true brand-building, the importance of hiring top talent, Amazon's continued dominance, the challenges of omnichannel selling, cash conversion cycles, and return on invested capital. Josh also warns against comparing yourself to other brands. He closes with a bonus lesson reminding entrepreneurs that family and relationships ultimately matter more than business success.Bullet Points:Key differences between building a brand and opportunistic selling in e-commerce.Importance of hiring talented individuals for business growth and success.The dominance of Amazon in the e-commerce landscape and strategies for leveraging it.Challenges associated with building an omnichannel brand across various platforms.Significance of having a sustainable business money model, including customer retention strategies.Necessity of active management and adaptability in the fast-paced e-commerce environment.Understanding and optimizing return on invested capital (ROIC) for financial health.Dangers of comparing one's business to others and focusing on personal growth instead.Importance of cash conversion cycle in scaling an e-commerce business effectively.Emphasis on prioritizing family and relationships over business achievements for personal fulfillment.Timestamps:00:00:54 Lesson 1: Brand Building vs. Opportunistic SellingDefining the difference between building a true brand with a customer journey versus being an opportunistic arbitrage seller on Amazon.00:06:43 Lesson 2: The Best ROI is PeopleHiring talented people who are smarter than you provides the greatest return on investment and leverage in your business.00:09:21 Lesson 3: Amazon is Still KingAmazon will continue to dominate e-commerce, so entrepreneurs should lean into its strengths rather than trying to diversify away completely.00:11:42 Lesson 4: The Difficulty of Building an Omnichannel BrandBuilding a successful omnichannel brand is extremely difficult because each platform (Amazon, Shopify, TikTok) requires a completely different skillset.00:14:49 Lesson 5: The Importance of the Money ModelA business model with compounding customers, like subscriptions, is ten times easier to scale than one focused on front-end acquisition.00:18:17 Lesson 6: Active Management and Adaptability are RequiredE-commerce is not a "set it and forget it" business; it requires constant learning, adaptation, and active management to succeed.00:21:13 Lesson 7: Understanding Return on Invested CapitalKnowing your return on invested capital is a critical, yet often overlooked, metric for making smart inventory and business decisions.00:25:02 Lesson 8: Avoid Harmful ComparisonsComparing your brand to others is damaging because you don't know the financial reality or unique circumstances behind their success.00:29:39 Lesson 9: Cash Conversion Cycle is EverythingThe time it takes to get your capital back after investing in inventory is the key constraint to scaling an e-commerce business.00:35:57 Bonus Lesson: Family and Relationships Matter MostThe greatest fulfillment in life comes from family and relationships, not from the money or success achieved in business.Links and Mentions:Tools and Websites"Amazon": "00:00:00""Shopify": "00:00:00""TikTok Shop": "00:00:00""FBA (Fulfillment by Amazon)": "00:10:48""AWS (Amazon Web Services)": "00:10:48""Meta (Facebook/Instagram)": "00:12:49"Podcasts and Videos"Ecomm Breakthrough Podcast": "00:00:00""Podcast on Building a Brand": "00:04:48""Podcast on Cash Conversion Cycle": "00:34:39"Summary of Lessons"Opportunistic Selling vs. Building a Brand": "00:00:54""People Over Everything": "00:07:51""Amazon's Dominance": "00:09:49""Omnichannel Challenges": "00:11:42""Compounding Customer Base": "00:15:55""Active Management": "00:19:04""Return on Invested Capital": "00:22:14""Avoiding Comparisons": "00:25:02""Cash Conversion Cycle": "00:29:39"Bonus Lesson"Family and Relationships": "00:36:32"Transcript:Josh Hadley 00:00:00 Today, I'm going to share with you the top nine vital lessons that I have learned while selling in the e-commerce space for over a decade. Welcome to the Econ Breakthrough Podcast! I'm Josh Hadley. I've scaled my own ecommerce brand from 0 to 8 figures, and I'm actively building towards nine figures in sales. This podcast is where I document that journey and share the systems, the strategies, and the lessons learned in real time so that you can learn what actually matters and scale your own business. My name is Josh Hadley. First and foremost, I'm a man of faith. I'm a husband to a beautiful wife and the father of four children. I've been selling in the e-commerce space for over a decade, doing over $20 million in annual revenue and selling multi-millionaire on channels such as Amazon, Shopify and TikTok. Shop. And last but not least, I am also the host to the number one business strategy podcast for eCommerce entrepreneurs, which is E-com breakthrough. As we dive in today, I'm going to be sharing with you the top nine lessons that I have learned that I wish I would have known and had.Josh Hadley 00:00:54  These lessons kind of taught to me prior to starting in the e-commerce space over a decade ago. These are going to go in ascending order. And so when we get to number nine, this is what I believe is one of the biggest lessons that I learned and the biggest lesson that I wish I would have understood. And the biggest thing that I'm trying to communicate to anyone that is starting in the e-commerce space here, brand new today. So here's lesson number one. Lesson number one is defining the difference between an opportunistic e-commerce opportunity versus actually building a brand. Those are two very, very different things. And honestly, in the number of conferences that I go t...

In this episode of the Tyler Tech Podcast, John Smail, U.S. federal security and compliance lead at Amazon Web Services (AWS), and Clay Thomas, vice president of cloud strategy at Tyler Technologies, explore the differences between FedRAMP and GovRAMP and why the distinction matters for government organizations evaluating cloud solutions. Recorded live at Tyler Connect 2026 in Las Vegas, the conversation breaks down the purpose of each framework, who they serve, and how they relate to broader cloud security and compliance efforts. John and Clay discuss common misconceptions surrounding cloud compliance, including why FedRAMP and GovRAMP are often treated as interchangeable despite serving different levels of government and addressing different requirements. They also examine the relationship between compliance and cybersecurity, highlighting why compliance frameworks should be viewed as tools for providing assurance rather than direct measures of security. The episode concludes with practical guidance for government IT, security, and procurement leaders. From evaluating risk and data sensitivity to balancing compliance requirements with cost, innovation, and operational goals, John and Clay emphasize the importance of aligning cloud decisions with an organization's specific needs rather than defaulting to the most stringent compliance standard. This episode also highlights an upcoming webinar on cloud strategy in government, featuring research-backed insights and real-world public sector experiences. Learn more and register now: Why Private Sector Cloud Falls Short: Discover Cloud Purpose-Built for the Mission of Government This episode also highlights emerging strategies for building efficiency in the public sector, with insights into how agencies are using technology and process improvements to do more with existing resources. Download: How Governments Build Efficiency at Scale And learn more about the topics discussed in this episode with these resources: Download: AI for Impact: Proven Results for Government Download: State CIO 2026 Priorities Playbook Download: Industry Insight: AWS GovCloud (US) vs. AWS Standard (US) Download: Modern Governments Live in the Cloud Download: Building a Resilient Government Watch: Peoria County Securely Shares Data Across Agencies Read: Boosting Resilience: Cloud Solutions for Modern Government Read: Modernize in the Cloud for Innovation and Resilience Listen to other episodes of the podcast. Let us know what you think about the Tyler Tech Podcast in this survey!

ServiceNow and AWS reveal how the DevOps Agent and MCP Server Console are turning incident response into a fast, autonomous, fully governed process. Topics Include:Govind Menon (ServiceNow) and Arun Jacob (AWS) discuss MCP and A2A strategy.ServiceNow understands workflows; partners with AWS to power them with AI.AI Control Tower governs and secures agent access to enterprise data.MCP is the industry standard for how AI agents read and act.Action Fabric spans A2A, REST APIs, and MCP for agentic work.AWS DevOps Agent, built on Bedrock, resolves incidents through sub-agents.Admin and operator access patterns integrate with Dynatrace, Datadog, Slack, GitHub.Demo: ServiceNow incident automatically triggers DevOps Agent investigation and resolution.DevOps Agent writes findings live back into the ServiceNow incident ticket.ServiceNow champions capping MCP servers at 30 tools for performance.MCP Server Console lets teams build scoped, use-case-specific tool servers.NowAssist skills, Knowledge Graph, and REST APIs become MCP tools.Live demo connects a 38-tool custom MCP server to DevOps Agent.Role-based access ensures users only see their permitted MCP tools.ServiceNow's autonomous ITOM agents point toward unsupervised future operations. Participants:Govind Menon – Head of MCP Product, ServiceNow Arunsingh Jeyasingh Jacob – Senior Solution 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/

Siemens says a small manufacturer can start production optimization for $2,000 a year. Martin Valkysers and Flemming Kongsberg explain what that buys you.Most digital transformation advice assumes a budget and an engineering bench most plants do not have. Flemming Kongsberg, who runs the SMB focus inside the Siemens CTO organization, discards the usual revenue and headcount definitions: an SMB is any manufacturer without the skills to absorb a complex digital change, and that includes some very large companies. He describes one customer running 900 devices across 17 locations where 90 percent of the machines are 30 years or older with zero connectivity. Siemens research also found 40 percent of SMB customers have no IT department.Martin Valkysers frames Siemens Xcelerator as the open digital business platform tying hardware, software, data, and services together, with more than 600 partners today. The SMB starter package is where that becomes concrete. Instead of asking a plant with no IT staff to assemble something from hundreds of apps, Siemens curated roughly 10 to 12 into one bundle covering device connectivity, Performance Insight dashboards for OEE and quality, and a slice of Mendix. A partner installed it in a lab in 24 minutes on an ordinary Windows machine, against the roughly 60 hours a traditional Industrial Edge deployment takes. It is $2,000 per year for three machines with the first three months free, and PROFINET, Ethernet/IP, and the standard protocols are supported, so competitor PLCs connect too.The most useful argument here has nothing to do with buying anything. Flemming makes the case that reaching for AI before you own your data is a losing move, because a model built on information everyone else can reach produces no strategic advantage. You also do not need AI to build a Pareto chart of where your quality losses sit. Martin adds the discipline that gets skipped most: be clear about the problem before you pick the tool.About the GuestsMartin Valkysers is Head of US Market Launch and Growth for Siemens Xcelerator, Siemens' open digital business platform spanning industrial, building, grid, and manufacturing sectors. He has been with Siemens roughly 12 years, previously leading a US operations consulting team focused on lean manufacturing.Flemming Kongsberg leads Global Technology Partners at Siemens Digital Industries Software and runs the company's SMB focus in the US. Before Siemens he spent nearly eight years at Amazon Web Services building partner infrastructure and strategic ISV alliances.Timestamps0:00 Introduction2:20 Martin Valkysers on his path to Xcelerator4:20 Flemming Kongsberg from AWS to Siemens SMB7:10 Four challenges facing manufacturers13:40 Why data comes before AI18:00 What Siemens Xcelerator actually is22:30 Partner ecosystem: build, service, sell31:40 Inside the SMB starter package35:50 What the package costs38:20 A 24 minute install and non Siemens PLCs45:50 Redefining what counts as an SMB53:50 The future of industrial marketplacesReferencesGetting Started with Production Optimization: https://www.siemens.com/en-us/products/industrial-edge/production-optimization-get-started/Operational Efficiency Pack for Small Manufacturers: https://news.siemens.com/en-us/siemens-small-manufacturers-operational-efficiency-pack/This episode is sponsored bySiemens is a global technology company operating across industrial automation, digital software, smart infrastructure, and mobility. Siemens Xcelerator is its open digital business platform and marketplace.https://www.siemens.comAbout Your HostsVladimir Romanov is a co-host of The Manufacturing Hub Podcast and the founder of Joltek, an independent manufacturing and industrial automation consulting firm specializing in modernization strategy, digital transformation, and workforce development. Joltek works with manufacturers and investors to de-risk modernization and build the internal capability to sustain results.Connect with Vlad: https://www.linkedin.com/in/vladromanov/Want to go deeper? Vlad and the team at Joltek have covered related topics here:Digital Transformation in Manufacturing: https://www.joltek.com/blog/digital-transformation-in-manufacturingEdge Computing and the AI Value of Manufacturing Data: https://www.joltek.com/blog/edge-computing-ai-value-manufacturing-dataDave Griffith is a co-host of The Manufacturing Hub Podcast and founder of Capelin Solutions, an industrial automation firm helping manufacturers adopt smart manufacturing technology. He brings 15 years of experience in industrial automation and digital transformation.Connect with Dave: https://www.linkedin.com/in/davegriffith23/Subscribe to Manufacturing Hub: https://www.manufacturinghub.liveLinkedIn: https://www.linkedin.com/company/manufacturing-hub-networkYouTube: https://www.youtube.com/@ManufacturingHub

CNBC reported that CoreWeave's shares rose fourteen percent after the company said revenue doubled year over year. The move signals strong demand for AI infrastructure and the potential for tighter capacity and firmer pricing. CoreWeave offers on-demand and reserved access to Nvidia accelerators for training and inference. Large clouds such as Amazon Web Services, Microsoft Azure, Google Cloud, and Oracle continue to expand GPU regions. Supply and power constraints persist, with long hardware lead times and multi-year data center buildouts. Buyers are using a mix of reserved capacity and on-demand options while optimizing workloads to manage cost and availability.Learn more on this news by visiting us at: https://greyjournal.net/news/ Hosted on Acast. See acast.com/privacy for more information.

This week, LexisNexis announced the opening of its Customer Innovation Lab in New York City — a physical space where legal professionals, LexisNexis engineers, and AI companies such as OpenAI and Amazon Web Services sit in the same room and build legal AI together, in real time.   The company is calling it a new model for how legal AI gets built and shipped: Instead of developing products internally and asking customers to validate them afterward, customers bring their pain points into the lab, engineers code against them on the spot, and prototypes that pass muster can move into Lexis+ with Protégé in a matter of weeks.   Our guest today is the person leading that effort: Greg Dickason, chief technology officer of LexisNexis Legal & Professional. Dickason joined LexisNexis in 2019 and previously ran the company's Asia-Pacific business, where he launched Lexis+ AI in that region. Before LexisNexis, he was chief technology officer at CoreLogic.   In a conversation with host Bob Ambrogi recorded just ahead of the launch, Dickason explains what actually happens inside the lab as engineers code live alongside customers, and how this differs from the customer input LexisNexis has always said drives its product development. They also discuss what has already come out of the lab, including a multimedia Protégé Vault that lets a lawyer query a video deposition; why legal drafting is the lab's first priority; and how Dickason sees agents reshaping legal work.    Thank You To Our Sponsors This episode of LawNext is generously made possible by our sponsors. We appreciate their support and hope you will check them out. Paradigm, home to the practice management platforms PracticePanther, Bill4Time, MerusCase and LollyLaw; the e-payments platform Headnote; and the legal accounting software TrustBooks. Briefpoint, eliminating routine discovery response and request drafting tasks so you can focus on drafting what matters (or just make it home for dinner). CosmoLex, helping law firms manage their entire practice in one platform, from intake to payment. Try it free. Ajax, the AI timekeeper lawyers want to use.   If you enjoy listening to LawNext, please leave us a review wherever you listen to podcasts.  

Chief Strategy Officer Nick Reed unpacks the "architecture of trust," AI-native enterprise transformation, and why staying laser-focused on customer value is central to Bizzdesign's bold AI strategy.Topics Include:Bizzdesign: global enterprise transformation SaaS company with Dutch roots, founded 2000, Main Capital-backedCustomers include HSBC, Shell, KPMG, and Airbus globallyBold 12-month strategy: acquired Mega International and Alfabet from Software AGAcquisitions tripled revenue, created the first true end-to-end enterprise transformation suiteBizzdesign's 18-year recognition as a Gartner Magic Quadrant Leader in Enterprise ArchitectureThe launch of Bizzdesign Unify in April 2026, an AI-native transformation collaboration platform Nick Reed's journey: enterprise software, customer value, M&A strategy, and AI-driven transformationHow Bizzdesign supports planning, design, and governance pillars across the transformation lifecycleHow Bizzdesign Unify complements existing enterprise architecture and portfolio management environmentsWhy Bizzdesign Unify is architecturally different: conversational AI-native experience, not traditional UIAI acts as a co-worker, supporting transformation work and decisions through curated skillsNew experience opens enterprise context to broader stakeholdersBizzdesign Unify bridges the gap between messy whiteboards and governed enterprise dataExample walkthrough: mapping customer service transformation dependencies and impactsGenerative AI creates transformation scenarios grounded in enterprise contextTech stack built on Amazon Bedrock, MCP clients, graph dataBalancing agentic AI and automation with human-in-the-loop accountability"Architecture of trust": permissions, oversight, and decentralized controlPricing shifts from seat-based to AI credit consumption modelClosing advice: stay laser-focused on core customer value creationParticipants:Nick Reed – Chief Strategy Officer, BizzdesignKamil 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/

The Big Unlock · Dr. Angela Shippy, Senior Physician Executive and Clinical Innovation Lead, Amazon Web Services (AWS) In this episode, Dr. Angela Shippy, Senior Physician Executive and Clinical Innovation Lead at Amazon Web Services (AWS), shares how cloud and AI are reshaping healthcare by helping organizations move from experimentation to enterprise-scale transformation. She explains that successful AI adoption requires more than powerful models – it demands secure cloud infrastructure, responsible governance, workforce upskilling, and trusted partnerships. Dr. Shippy explains how leading health systems are moving beyond isolated AI pilots by solving well-defined organizational and clinical challenges first. Through purpose-built services like Amazon Connect Health, institutions are streamlining patient engagement, reducing administrative burden, and improving access to care. From antimicrobial resistance surveillance to genomics research and health equity programs, she illustrates how cloud-based platforms are helping healthcare organizations generate insights faster and improve patient outcomes at scale. Dr. Shippy believes that scaling enterprise AI requires upskilling healthcare workforces, establishing strong security guardrails, and embracing agentic workflows. She envisions a future driven by multimodal AI, ambient listening, and automated task execution that accelerates drug discovery, reduces burnout, and enables clinicians to focus on direct patient care. Dr. Shippy encourages health systems to start small, think big, and never lose sight of improving patient and workforce experiences. She believes agentic technologies will augment clinicians, accelerate innovation, and help build a more connected, efficient, and patient-centered healthcare ecosystem. Take a listen. This guest appearance was facilitated through conversations initiated at ViVE.

Good morning from Pharma Daily: the podcast that brings you the most important developments in the pharmaceutical and biotech world. Today, we're diving into a landscape marked by remarkable scientific breakthroughs, strategic alliances, and regulatory milestones that are shaping the future of healthcare. Novo Nordisk is making waves with its new partnership with Amazon Web Services, utilizing artificial intelligence to accelerate drug discovery for chronic diseases. By integrating cloud computing and machine learning models, this collaboration highlights the increasing role of digital transformation in drug development. Novo Nordisk's commitment to innovation is further underscored by the launch of a new London Innovation Hub, enhancing research capabilities in the UK and demonstrating how technology can streamline the development of novel therapeutics. In clinical trial news, Silence Therapeutics has achieved a significant milestone with its investigational therapy Divesiran. This small interfering RNA therapeutic met primary endpoints in a Phase 2 trial for polycythemia vera, highlighting the potential of RNA-based therapies in treating complex blood disorders. Meanwhile, AbCellera's monoclonal antibody therapy ABCL635 has shown promising Phase 2 data for alleviating menopause-related hot flashes, surpassing existing treatments and underscoring the potential of targeted biologics in women's health. Regulatory achievements are further advancing personalized medicine. LabCorp received FDA approval for its PGDx elio tissue complete CDx companion diagnostic for BRAF-mutant advanced melanoma. This tool is pivotal for identifying patients who could benefit from targeted therapies, enhancing precision medicine approaches in cancer treatment. Similarly, AstraZeneca's Calquence and Enhertu have received notable endorsements, reinforcing the critical role of regulatory bodies in facilitating access to innovative treatments. The industry's business landscape is vibrant with strategic partnerships and acquisitions aimed at advancing therapeutic pipelines. Sobi's $580 million deal with Innate Pharma to advance lacutamab through Phase III lymphoma trials underscores how combining expertise can accelerate drug development and commercialization efforts. Financially, companies like Denali Therapeutics are surpassing revenue expectations with products like their enzyme replacement therapy Avlayah for Hunter syndrome, while fundraising activities are empowering biopharmaceutical companies to drive forward pain and oncology initiatives. Despite these advances, challenges persist. Sionna Therapeutics' recent clinical setback in cystic fibrosis reinforces Vertex Pharmaceuticals' dominance in CFTR modulator therapies. Additionally, Tenax Therapeutics encountered disappointment with TNX-103 failing to meet primary endpoints in a Phase 3 trial for pulmonary hypertension associated with heart failure. Manufacturing capabilities are also a focal point as Bristol Myers Squibb plans a substantial investment in Houston, reflecting an industry trend towards expanding infrastructure to meet demand and ensure supply chain resilience. However, compliance remains critical, as seen with Scholar Rock's decision to drop Novo Nordisk's Catalent facility following an FDA inspection. In contrast to setbacks, some companies are achieving breakthroughs. Jazz Pharmaceuticals' acquisition of Actio Biosciences aims to enhance their epilepsy treatment portfolio by integrating clinical-stage assets into its pipeline—a strategic move reflecting ongoing consolidation within the industry. The promise of genetic-targeted therapies is vividly illustrated by Biogen's ALS treatment Qalsody, marking a major scientific breakthrough as the first FDA-approved drug targeting a genetic cause of ALS. Patients have reported symptom stabilization and improvement—a significant advancement given ALS's progressive nature. Meanwhile, psychedelics are emerging as transformative agents in psychiatric medicine. As traditional medications often fall short, psychedelics offer hope for innovative mental health therapies supported by growing clinical and policy backing. However, navigating regulatory landscapes remains challenging. The FDA's recent actions illustrate ongoing struggles to balance innovation with oversight amidst leadership transitions. Real-world evidence is increasingly influencing regulatory decisions—reshaping how companies approach market access strategies by integrating patient experiences into evidence-based decision-making. In oncology, Replimune's melanoma drug has finally earned FDA approval after previous setbacks—a testament to persistence and the potential impact of innovative cancer therapies on patient outcomes. These developments underscore a dynamic pharmaceutical and biotech industry where breakthrough technologies like genetic-targeted therapies and psychedelics promise transformative impacts on patient care. Yet, they also highlight the complexities of bringing these innovations to market amidst stringent regulatory standards and competitive pressures. As we continue to track these stories, one thing is clear: the relentless pursuit of novel treatments remains at the forefront of advancing global healthcare.Support the show

Bloomberg reported that a Singapore-based data center operator confidentially filed for a US IPO targeting about $5 billion. The confidential process allows initial SEC review before public disclosure. A deal of this size would likely list on NYSE or Nasdaq and include multiple bulge-bracket underwriters. Data center demand from Amazon Web Services, Microsoft Azure, and Google Cloud, as well as AI workloads using Nvidia GPUs, is driving higher-density builds and new cooling investments. Singapore's policy shifts since 2019 have steered some development to Johor and Batam. Public comparables include Equinix, Digital Realty Trust, and GDS Holdings, while Chindata was taken private by Bain Capital. Proceeds would likely fund new capacity, power connections, acquisitions, and debt refinancing, with investor focus on contracts, power sourcing, and execution discipline.Learn more on this news by visiting us at: https://greyjournal.net/news/ Hosted on Acast. See acast.com/privacy for more information.

How do successful companies stay fast, hungry, and focused as they grow?In this episode of Entrepreneur | Authorities, Joe Pardavila welcomes back Matthew Domo, CEO and founder of FifthVantage.At Amazon, Matt created Amazon Web Services' first database and pioneered the database-as-a-service category.Matt breaks down Amazon's influential “Day One” leadership mindset and explains why it's an operating discipline rather than a corporate slogan.The conversation explores how leaders can create urgency without chaos, give teams autonomy while maintaining accountability, and recognize the early signs of organizational complacency. Matt also explains why vague goals such as “make it simple” can slow teams down and waste valuable time.Joe and Matt discuss working backward from the customer, improving the employee experience, measuring real business outcomes, and avoiding vanity metrics. They also examine why many companies are spending heavily on AI without changing how decisions are made or how employees work.Matt closes by sharing one Amazon practice every entrepreneur and business leader can use: write the future press release before creating the strategy deck.What You'll Learn:Amazon's Day One leadership mindsetThe warning signs of Day Two thinkingCreating urgency without creating chaosBalancing autonomy with accountabilityWhy companies become complacentWorking backward from the customerDefining simple, seamless, and delightful experiencesUsing AI to create measurable business outcomesWhy AI spending becomes a vanity metricWriting a future press release before building a strategyMatthew Domo is the author of "Everybody Wins: The Business Leader's Mission Possible Guide to AI Success"Subscribe to Entrepreneur Authorities for conversations with the leaders, builders, and thinkers helping entrepreneurs make smarter decisions in a changing world.Chapters00:00 Introduction00:59 What “Day One” Really Means02:00 Warning Signs of Day Two Thinking03:39 Where Complacency Starts06:00 The Problem With Checking Boxes07:19 How Amazon Created Urgency Without Chaos10:56 Autonomy Requires Accountability13:55 Why Innovation Can Slow a Company Down17:03 Leading Through Rapid AI Change18:05 Defining Seamless and Delightful21:20 What Does “Simple” Actually Mean?24:54 Working Backward From the Customer26:00 The Employee and Leader Experience28:24 The Real Cost of AI Tokens30:24 Why AI Failure Is a Leadership Problem31:53 The Amazon Lesson Entrepreneurs Should Steal34:33 Everybody Wins

Pinterest just launched a game-changing update to its Amazon partnership — and if you're using Pinterest to sell or promote products, this is the feature you've been waiting for. In this episode, we're breaking down Pinterest's new Amazon Storefront linking tool, announced June 10, 2026. We're going to be breaking down this and so much more. Resource Articles:Pinterest adds Amazon Storefront linking for creatorsPinterest, AWS power new AI visual search (more about collab w/ Amazon Web Services than storefront)How To Use Amazon Storefront Linking To Monetize Your Pinterest ContentBill Ready About Shopping on Pinterest (comments could be insightful)Pinterest Now Lets Creators Link Their Amazon Storefronts DirectlyCreating an Amazon storefront (Brand Store) (What is an Amazon storefront?)Connect Amazon and Pinterest | Pinterest Business help—-------Here are some helpful links from the podcast:

Deborah Matteliano, Global Restaurant Industry Lead at Amazon Web Services, believes technology should make hospitality more personal. After helping restaurants navigate online ordering at Uber Eats, she now helps brands create better guest experiences through technology at AWS. Watch now to learn what digital hospitality means, why first-party data matters and how technology can strengthen the guest experience. Restaurant Influencers is sponsored by: • Toast All-In-1 Restaurant POS: https://entm.ag/ToastRI • PepsiCo Foodservice: https://entm.ag/RIPepsico Learn more about your ad choices. Visit megaphone.fm/adchoices

Omilia's CTO shares their strategy on building AI that facilitates billions of calls and what it takes to win the next decade.Topics Include:Miguel Alava welcomes Marios Fakiolas, CTO of OmiliaOmilia has built production AI for over 20 yearsBanking and telco clients demand speed and accuracyOmilia builds its own agent framework and self-learning agentsInfrastructure and data matter more than any single modelModels are ships; Omilia's infrastructure is the permanent dockAI is core infrastructure at Omilia, not an external APIBuilders differ from orchestrators by owning bespoke modelsPlatform is a kitchen; models are ingredients for recipesOmilia believes AI should be accessible, not just for elitesAI vendors split into camps by economics and scalabilityGen AI and ROI don't yet align well industry-wideSmall unaddressed pain points can quietly sink AI projectsOmilia revisits its offering using deep customer knowledgeCost-efficient economics at billions of calls is Omilia's moatMaking AI work differs from making AI profitableBedrock enables fast prototyping and early customer feedbackOmilia moves to SageMaker AI to fully own its modelsMarios praises the AWS team supporting Omilia dailySpeed round covers AI advocates, cloud, and adaptability aheadParticipants:Marios Fakiolas – Chief Technical Officer, OmiliaMiguel Alava – EMEA ISV General Manager, 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/

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

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

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

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.

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

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

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.

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.