Podcasts about aws

AI executives from Archer, Demandbase and Highspot and AWS reveal how they're tackling AI's biggest challenges—from securing data, managing regulatory changes and keeping humans in the loop.Topics Include:Three AI leaders introduce their companies: Archer, Demandbase and Highspot's approaches to enterprise AIDemandbase's data strategy: Customer data stays isolated, shared data requires consent, public sources fuel trainingGeographic complexity: AI compliance varies dramatically between Germany, US, Canada, and California regulationsHighSpot tackles sales bias: Granular questions replace generic assessments for more accurate rep evaluationsSBI framework applied to AI: Specific behavioral observations create better, more actionable sales coachingAI transparency through citations: Timestamped evidence lets managers verify AI feedback and catch hallucinationsArcher handles 20-30K monthly regulations: AI helps enterprises manage overwhelming compliance requirements at scaleTwo compliance types explained: Operational (common across companies) versus business-specific regulatory requirementsEU AI Act adoption: US companies embracing European framework for responsible AI governanceHuman oversight becomes mandatory: Expert-in-the-loop reviews ensure AI decisions remain correctable and auditableThe bigger AI risk: Companies face greater danger from AI inaction than AI adoptionAgentic AI security challenges: Data layers must enforce permissions before AI access, not afterAI agents need identity management: Same access controls apply whether human clicks or AI actsHuman oversight in high stakes: Chief compliance officers demand transparency and correction capabilitiesFuture challenge identified: 80% of enterprise data behind firewalls remains invisible to AI modelsParticipants:Kayvan Alikhani - Global Head of Engineering- Emerging Solutions, Archer Integrated Risk ManagementUmberto Milletti - Chief R&D Officer, DemandbaseOliver Sharp - Co-Founder & Chief AI Officer, HighspotBrian Shadpour - General Manager, Security, Amazon Web ServicesFurther Links:Archer Integrated Risk Management: Website – LinkedIn – AWS MarketplaceDemandbase: Website – LinkedIn – AWS MarketplaceHighspot: Website – LinkedIn – AWS MarketplaceSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

The Prime Minister has revealed tech-giant Amazon is investing $7.5 billion into New Zealand. Speaking exclusively to Newstalk ZB, Christopher Luxon says Amazon Web Services is scheduled to be announcing the investment. He told Mike Hosking it will create up to a thousand jobs, and make an $11 billion boost to GDP. Luxon says it's probably the largest ever publicly announced technology investment in New Zealand by an international tech firm. Speaking of international investors, the Prime Minister wants foreign investors to feel comfortable here so they invest more. New rules mean Active Investor Plus visa holders can now buy or build one home in New Zealand if it's worth at least $5 million. They'll still need to invest another $5 million separately, as part of the visa's criteria. Luxon told Hosking everything will fall into place for these investors once they have a house here. He says it's not just about the first $5-10 million they're spending, it's what comes after that when they start seeing more investment opportunities. LISTEN ABOVE See omnystudio.com/listener for privacy information.

Cloud computing can feel overwhelming at first—but it doesn't have to be. In this beginner-to-pro session, InfosecTrain breaks down the fundamentals of cloud computing and explains how Amazon Web Services (AWS) delivers the backbone of today's digital world.Whether you're a student, IT professional, or career switcher, this episode will simplify complex cloud concepts and give you a clear path to understanding modern IT infrastructure.

¡Inicio de temporada! La SCJN elimina que creaciones de AI sean de dominio público | Ante avance digital, Hacienda reconoce necesidad de actualización regulatoria | BBVA México agrega tecnología BI a su oferta empresarial | Foxconn invertirá $168 mdd en subsidiaria mexicana | El ITESM es una de las historias innovadoras | Así lo dijo el VP de Políticas públicas de AWS, Shannon Kellogg | el experto en AI Carlos Glatt nos comparte el prompt que le cambió la vida | Jaime Sánchez Ramírez, CIO de Hospital Ángeles Health System, nos da el IT Masters Insight

In a fascinating discussion, Rob McGrorty, Product Leader of Agents at Amazon AGI Lab, reveals how rapidly AI agents are evolving with corporate adoption exploding as companies race to deploy production agents and the challenges and advantages they're experiencing.Topics Include:GenAI adoption outpaces all previous tech waves, growing faster than computers or internetEarly adopters tackle complex tasks while newcomers still use basic text manipulation featuresAI models double their single-call task capabilities every seven months, exponentially increasing powerAccelerating progress makes yesterday's magic mundane, unlocking mass creativity and customer demandAgents represent natural evolution: chatbots answered questions, now agents autonomously accomplish tasksAmazon's browser agent finds apartments, maps distances, ranks options using multiple transit modesCorporate adoption exploded: 33% piloting agents in 2024, 67% moving to production nowTwo main agent types today: API calling with tool use, browser automationCurrent applications mirror "RPA 2.0" - form filling, data extraction, website QA testingFuture brings multi-agent systems, self-directing loops, and agent-to-agent negotiation scenariosMajor challenges: data privacy, oversight protocols, error responsibility, and ecosystem sustainabilityTechnical hurdles include real-time accuracy measurement, latency issues, and quality assurance frameworksParticipants:Rob McGrorty – Product Leader, Agents at Amazon AGI LabSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

In this episode, James Maude sits down with Brian Wagner, CTO at Revenir, whose cybersecurity story started at just 15, building Microsoft Access databases for a medical hospice. From teenage entrepreneur to AWS security specialist, Brian's path has been anything but ordinary. He pulls back the curtain on his time with the elite Zipline incident response team where he confronted a catastrophic VPC peering breach that spiraled into data theft and blackmail. Together, James and Brian dissect how vendor network compromises can silently open doors into your cloud and why Brian insists that true security isn't something you bolt on later - it's a culture you build from day one.

In this episode, Darko welcomes Mathias Buus Madsen, CEO of Holepunch and creator of Pear Runtime. Mathias shares how peer-to-peer tech and modular architecture let developers build apps without AWS or cloud lock-in.Like this episode? Be sure to leave a ⭐️⭐️⭐️⭐️⭐️ review on the podcast player of your choice and share it with your friends.

Ginger Dhaliwal is Co-founder and Chief Product Officer of Upflex. A long-time tech entrepreneur and investor, she shares her human-first orientation which drives her passion for solving systemic challenges using technology and data—from micropayments to elder healthcare to flexible workspaces. Ginger discusses how intentional design, empathy, and sustainability are essential for building data-driven ecosystems that support a diverse, distributed workforce. She highlights behavioral indicators for shaping future-ready on-demand and long-term work environments, emphasizing collaboration and relationships.     KEY TAKEAWAYS   [00:29] Ginger studies social work and first focuses on understanding people and reskilling immigrants.   [01:40] Ginger's travel takes her to Malaysia where she joins a tech startup as the Internet takes off.     [02:35] At a government-supported R&D lab, Ginger builds a venture studio model.   [03:20] They attract international talent to spin off multiple startups solving real-world problems.   [04:05] One early product enables micropayments using mobile phone billing instead of credit cards.   [05:12] Learning to persuade large corporations to adopt emerging innovations and enter new markets.   [06:10] A healthcare venture connects remote patients in S.E. Asia to providers through internet cafés.   [06:48] Healthcare tech is adapted for the U.S. to support elders aging in place with sensor systems.   [07:50] Adoption fails to take off due to lack of interest from medical professionals in holistic data.   [08:40] Ginger gets disheartened, entrenched in the elder care community, and feels burned out.      [09:30] Considering identity, AI's impact, and future career direction.   [10:45] Personal remote work experience and coworking exposure lead to co-founding Upflex.   [11:50] Ginger sees coworking catalysing innovation with people from diverse industries co-located.   [13:10] Upflex becomes a platform to aggregate access to coworking spaces globally.   [14:40] Early clients like Nokia highlight retention, recruitment, and cost control needs.   [15:20] Real estate lacks actionable data, pushing Upflex to build a decision-support layer for companies.   [16:25] Ginger champions flexibility as a strategic asset for talent engagement, not a perk.   [17:35] COVID causes companies to confront data about remote work and location preferences.   [18:40] Upflex helps firms explore questions around hybrid work behavior using their data tools.   [19:25] Focus on location can mask deeper control and change adaptation issues in hybrid transitions.   [20:45] Data shows employees' behavior is consistent across corporate offices and on-demand coworking spaces.   [22:25] The global shift from individual desks to more collaborative meeting spaces.   [23:38] Most day passes are booked same day, while meeting rooms are booked days in advance.   [25:55] Coworking supports relationship-building and community connection as well as collaboration.   [27:30] Companies are repurposing coworking memberships for team days, pods, and local clusters.   [29:40] Upflex advises clients to view coworking as workplace strategy infrastructure.   [31:25] Businesses experiment with timeshare-type space arrangements to balance cost and access.   [33:10] Exploring partnerships with landlords to offer on-demand overflow capacity.   [34:50] AI is being integrated to optimize seat allocation and dynamic workplace management.   [36:15] Comparing Upflex's model to AWS—scalable space usage tailored to demand and cost savings.   [37:25] Ginger emphasizes redirecting real estate savings to reskilling as rapid tech changes cause workforce disruption.   [39:15] Identity loss from desk removals prompt incremental workspace changes. [41:00] IMMEDIATE ACTION TIP: To problem solve right now, there's no playbook, it's iterative. Come up with questions to test. Start small. Figure out a solution. Get buy in. Gather data for feedback to refine and grow.     RESOURCES   Ginger Dhaliwal on LinkedIn Upflex website       QUOTES   “I don't need to know the answers to things as long as I'm constantly thinking about solving these problems for people.”   “Coworking as a model for innovation and ideation is a wonderful thing and it's in your backyard. It's a block away from your, where you live.”   “How do we create a more sustainable lifestyle for people looking at the data. People losing 15 days of their lives commuting just didn't make any sense to us.”   “We can create that data layer so that people can actually make decisions based on data and understanding those preferences and how people are using space.”   “A lot of office space today is designed for productivity and it's shifting to collaboration. Coworking spaces are designed for that too, but also relationships. I think the evolution is we are all going to be craving relationships. It's not the collaboration that you're going for. You're going for the relationships.”   “We're working with landlords to figure out how you can create those overflow spaces and, from a corporate standpoint, be able to not build for the peak, but build for the average and then have the resources, the unlocking of the network, to handle the overflow.”  

In dieser Episode sprechen wir mit Christoph Scheyk, Head of Data, Analytics & AI bei Tom Tailor, über den erfolgreichen Wandel des Modeunternehmens durch den Einsatz moderner AWS-Technologie. Gemeinsam mit Josephine Plath (AWS) beleuchten wir den Weg von der Migration des Data Warehouses nach Amazon Redshift, über die Nutzung der Datenplattform als Enabler für Digitalisierung, bis hin zum Einsatz von Generativer KI für Produktvisualisierung. Ein inspirierendes Gespräch über Learnings, Best Practices und die Rolle von Daten in einer Branche im Wandel. Kernthemen der Episode: Herausforderungen und Motivation zur Cloud-Migration Aufbau einer skalierbaren Data Platform mit Redshift GenAI in der Fashion-Branche: Bildgenerierung & neue Use Cases Nachhaltigkeit, E-Commerce & technologische Chancen Empfehlungen für Unternehmen in der Transformation Innovations-Roadmap: Wie Tom Tailor die Zukunft mit AWS gestaltet Highlights: Wie Tom Tailor mit einer stabilen Datenbasis Innovationen beschleunigt Konkrete GenAI-Projekte für Visualisierung von Kollektionen Praktische Tipps aus der Cloud-Transformation eines Modeunternehmens Visionäre Perspektiven auf die Rolle von Technologie in der Fashion-Industrie

In the changing landscape of AI data infrastructure, F5 and MinIO are partnering on a solution that brings together the best of each company. This solution bookends the AI stack—it uses F5 for reliable, secure, and observable data delivery and MinIO’s AIStor for storage of all data types. The goal is to help organizations be... Read more »

In the changing landscape of AI data infrastructure, F5 and MinIO are partnering on a solution that brings together the best of each company. This solution bookends the AI stack—it uses F5 for reliable, secure, and observable data delivery and MinIO’s AIStor for storage of all data types. The goal is to help organizations be... Read more »

Send us a textWhat happens when three major cloud providers each reimagine network design from scratch? You get three completely different approaches to solving the same fundamental problem.The foundation of cloud networking begins with the virtual containers that hold your resources: AWS's Virtual Private Clouds (VPCs), Azure's Virtual Networks (VNets), and Google Cloud's VPCs (yes, the same name, very different implementation). While they all serve the same basic purpose—providing logical isolation for your workloads—their design philosophies reveal profound differences in how each provider expects you to architect your solutions.AWS took the explicit control approach. When you create subnets within an AWS VPC, you must assign each to a specific Availability Zone. This creates a vertical architecture pattern where you're deliberately placing resources in specific physical locations and designing resilience across those boundaries. Network engineers often find this intuitive because it matches traditional fault domain thinking. However, this design means you must account for cross-AZ data transfer costs and explicit resiliency patterns.Azure flipped the script with their horizontal approach. By default, subnets span across all AZs in a region, with Microsoft's automation handling the resilience for you. This "let us handle the complexity" philosophy makes initial deployment simpler but provides less granular control. Meanwhile, Google Cloud went global, allowing a single VPC to span regions worldwide—an approach that simplifies global connectivity but introduces new challenges for security segmentation.These architectural differences aren't merely academic—they fundamentally change how you design for resilience, manage costs, and implement security. The cloud introduced "toll booth" pricing for data movement, where crossing availability zones or regions incurs charges that didn't exist in traditional data centers. Understanding these nuances is crucial whether you're migrating existing networks or designing new ones.Want to dive deeper into cloud networking concepts? Let us know what topics you'd like us to cover next as we explore how traditional networking skills translate to the cloud world.Purchase Chris and Tim's new book on AWS Cloud Networking: https://www.amazon.com/Certified-Advanced-Networking-Certification-certification/dp/1835080839/ Check out the Fortnightly Cloud Networking Newshttps://docs.google.com/document/d/1fkBWCGwXDUX9OfZ9_MvSVup8tJJzJeqrauaE6VPT2b0/Visit our website and subscribe: https://www.cables2clouds.com/Follow us on BlueSky: https://bsky.app/profile/cables2clouds.comFollow us on YouTube: https://www.youtube.com/@cables2clouds/Follow us on TikTok: https://www.tiktok.com/@cables2cloudsMerch Store: https://store.cables2clouds.com/Join the Discord Study group: https://artofneteng.com/iaatj

Gagan Singh of Elastic discuses how agentic AI systems reduce analyst burnout by automatically triaging security alerts, resulting in measurable ROI for organizationsTopics Include:AI breaks security silos between teams, data, and tools in SOCsAttackers gain system access; SOC teams have only 40 minutes to detect/containAlert overload causes analyst burnout; thousands of low-value alerts overwhelm teams dailyAI inevitable for SOCs to process data, separate false positives from real threatsAgentic systems understand environment, reason through problems, take action without hand-holdingAttack discovery capability reduces hundreds of alerts to 3-4 prioritized threat discoveriesAI provides ROI metrics: processed alerts, filtered noise, hours saved for organizationsRAG (Retrieval Augmented Generation) prevents hallucination by adding enterprise context to LLMsAWS integration uses SageMaker, Bedrock, Anthropic models with Elasticsearch vector database capabilitiesEnd-to-end LLM observability tracks costs, tokens, invocations, errors, and performance bottlenecksJunior analysts detect nation-state attacks; teams shift from reactive to proactive securityFuture requires balancing costs, data richness, sovereignty, model choice, human-machine collaborationParticipants:Gagan Singh – Vice President Product Marketing, ElasticAdditional Links:Elastic – LinkedIn - Website – AWS Marketplace See how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

“Complexity is at the core of this, and our mission at Broadcom has been how to address this complexity by making things simpler,” says Abhay Kumar, Global Head of Managed Services for Broadcom's VMware Cloud Foundation (VCF) division. In this Technology Reseller News podcast, recorded live at VMware Explore 2025, Kumar discusses Broadcom's strategy for making the private cloud AI-native, portable, and partner-driven. Since acquiring VMware two years ago, Broadcom has focused on positioning VMware Cloud Foundation as the consistent foundation for enterprise workloads—whether on-premises or across hyperscaler environments. Key themes from the conversation include: AI-native private cloud – VCF now incorporates a private AI foundation, with expanded partnerships with NVIDIA and Canonical to accelerate AI and containerized workloads. License portability – Broadcom is giving customers the flexibility to dynamically move entitlements between on-premises and multiple clouds, protecting investments while enabling innovation. Ecosystem and choice – Customers can run workloads across AWS, Microsoft, Google, Oracle, and other providers while maintaining consistent control through VCF. Simplifying complexity – CIOs and partners face hybrid environments, containers, and AI workloads. VCF's single-pane-of-glass approach reduces operational complexity and ensures skills can be leveraged across environments. Kumar emphasized that Broadcom's strategy puts customers at the center, giving them the flexibility to innovate with AI services and advanced analytics while managing cost, efficiency, and control.

In the changing landscape of AI data infrastructure, F5 and MinIO are partnering on a solution that brings together the best of each company. This solution bookends the AI stack—it uses F5 for reliable, secure, and observable data delivery and MinIO’s AIStor for storage of all data types. The goal is to help organizations be... Read more »

Cloud Posse holds LIVE "Office Hours" every Wednesday to answer questions on all things related to AWS, DevOps, Terraform, Kubernetes, CI/CD. Register at https://cloudposse.com/office-hoursSupport the show

This is episode 785. Read the complete transcription on the Sales Game Changers Podcast website. In this episode of the AI for Selling Effectiveness Podcast (a sub-brand of the Sales Game Changers Podcast), host Fred Diamond is joined by Gina Stracuzzi, host of the Women in Sales Leadership Podcast and President of the Center for Elevating Women in Sales Leadership, along with Zeev Wexler, to spotlight two groundbreaking events this October: October 9 – Women in Sales Leadership Elevation Conference (Tysons Corner, VA) A full-day, in-person event exploring how women can lead with courage, clarity, and conviction in an AI-driven sales world. Expect insights on leveraging AI for career growth, policy and ethics, strategy, and frontline stories from women already breaking barriers. Keynote speaker Dr. Margie Warrell, author of The Courage Gap, will challenge attendees to find their voice in the AI revolution.

Copy and paste content doesn't build a connection. If you want your brand to resonate, you need to go deeper, more human, more emotional, more real.That's executed perfectly by The Last of Us, a post-apocalyptic story that became a global phenomenon not because of monsters, but because of its heart. In this episode, we're taking a closer look with the help of our special guest, Ashley Emery, CMO at VelocityEHS.Together, we explore what B2B marketers can learn from emotional storytelling, breaking traditional formats, and building real resonance with your audience (even in the most unexpected places).About our guest, Ashley EmeryAshley excels in driving growth and innovation in B2B technology organizations, both at the global enterprise and high-growth start-up scale. She holds an Executive MBA and specializes in demand generation and revenue-focused marketing strategies. Ashley has a proven track record of building and leading high-performing marketing teams, having served as Head of Global Campaigns for the Database and Analytics category at AWS, VP of Marketing at Emburse, and most recently, the SVP of Demand Generation at Employ, the parent company of JazzHR, Jobvite, and Lever.What B2B Companies Can Learn From The Last of Us:Story comes before product. In B2B, it's easy to get stuck in the habit of leading with features, capabilities, or technical specs. But as The Last of Us demonstrates, what draws people in is a story they care about, not a list of innovations. Your product may be powerful, but unless your audience understands how it impacts their world or identity, it won't matter. Center the narrative on the customer's journey, pain, and outcome, your product plays a supporting role in that transformation. This shift can completely reframe how you approach content, ads, and even your brand voice. Ashley advises, “Lead with a human-centric storytelling. Don't sell features… the product is the enabler, it's not the hero.”Your audience might not be who you think. “Even if you think you understand your audience, you may not,” said Ashley, who was surprised herself, as she was so drawn to the series. Just as The Last of Us broke out of its presumed “gamer” audience, B2B brands often have unexpected buyers, champions, or influencers they're missing. Assumptions based on firmographics or industry stereotypes can be limiting. VelocityEHS found that their safety-focused customers were actually risk-tolerant thrill-seekers outside of work, which changed how they positioned messaging. This is a call to continuously validate personas, run qualitative interviews, and listen for nuance. Your best buyers may not look like your ICP on paper.The medium shapes the message. It's not enough to have a great story, you have to tailor it to the channel and format. A 60-minute podcast moment doesn't automatically become a good TikTok. Just like a video game plot doesn't translate directly into a TV script, B2B content has to be rewritten for the medium it's living in. That means writing social hooks, designing natively for mobile, and assuming low context. Ian reminds us that, “-if you take an idea that Ashley says in minute 50 of a podcast and drop it onto LinkedIn, and the person has no context at all who this person is or what they do, then the actual insight itself isn't as interesting or valuable.” Meet your audience where they are, mentally, emotionally, and contextually, or risk wasting great content on the wrong canvas.Quotes“Often in marketing, we get scared of emotion. We try to stay very neutral in our language. We don't want to be provocative, we don't want to be bold, and I think we as humans crave that. The show is a perfect example. The boldness, the emotional connection, and the conflict of the characters was really valuable. There's so much raw emotion and connection in the stories that could be told, and not being afraid to tell an uncomfortable story… is powerful.”Time Stamps[00:55] Meet Ashley Emery, CMO at VelocityEHS.[00:56] Why The Last of Us?[01:42] The Role of CMO at VelocityEHS[02:48] Breaking Down The Last of Us[26:47] B2B Marketing Lessons from The Last of Us[27:36] Human-Centric Storytelling in Marketing[35:16 Understanding Your Audience[38:43] Building an Ecosystem of Content[40:20] The Importance of Star Power[42:14] Embracing Emotional Tension in Marketing[46:11] Final Thoughts & TakeawaysLinksConnect with Ashley on LinkedInLearn more about VelocityEHSAbout Remarkable!Remarkable! is created by the team at Caspian Studios, the premier B2B Podcast-as-a-Service company. Caspian creates both nonfiction and fiction series for B2B companies. If you want a fiction series check out our new offering - The Business Thriller - Hollywood style storytelling for B2B. Learn more at CaspianStudios.com. In today's episode, you heard from Ian Faison (CEO of Caspian Studios) and Meredith Gooderham (Head of Production). Remarkable was produced this week by Jess Avellino, mixed by Scott Goodrich, and our theme song is “Solomon” by FALAK. Create something remarkable. Rise above the noise.

AWS's Daniele Stroppa, Worldwide Technical Lead for AWS partners in retail, joins us to announce August's retail tech startup of the month: Vody. Daniele breaks down how Vody makes data ready for AI and AI agents through their intelligent data infrastructure solutions. Unlike typical approaches that tackle product discoverability with chatbots or search improvements, Vody addresses the challenge at its foundation – the data itself. Their sophisticated system transforms messy product catalogs into AI-optimized data using state-of-the-art multimodal large language models specifically fine-tuned for retail.

Episode Summary:AWS Morning Brief for the week of August 25th, 2025, with Corey Quinn. AWS pricing for Kiro dev tool 'a wallet-wrecking tragedySQL injection vulnerability in the AWS Aurora DSQL MCP Server | by Michael Kandelaars | Aug, 2025 | MediumTop AWS chip engineer reportedly defects to ArmCopilot Broke Your Audit Log, but Microsoft Won't Tell You - Pistachio Blog - Cybersecurity Awareness TrainingAWS blames bug for Kiro pricing glitch that drained developer limits | InfoWorldAmazon Cloud Chief: Replacing Junior Staff With AI Is 'Dumbest' Idea - Business InsiderAWS CEO says AI replacing junior staff is 'dumbest ideaHR giant Workday says hackers stole personal data in recent breach | TechCrunchAWS in 2025: The Stuff You Think You Know That's Now Wrong free senior engineer level code reviews right in your IDE CodeRabbitTry Code Rabbit todayCelebrating 10 years of Amazon Aurora innovationVibe code with AWS databases using Vercel v0Enhanced throttling observability in Amazon DynamoDBUnder the hood: how AWS Lambda SnapStart optimizes function startup latencyAWS Security Incident Response introduces integrations with ITSMAmazon Cognito adds terms of use and privacy policy documents support to Managed LoginAWS Billing and Cost Management now provides customizable DashboardsAWS Billing and Cost Management Console adds new recommended actionsAmazon VPC IPAM adds in-console CloudWatch alarm managementhttps://github.com/minimaxir/big-list-of-naughty-strings

1005: "Great innovations are painkillers, not vitamins." In this episode, Peter High speaks with Shez Partovi, Chief Innovation & Strategy Officer and Chief Business Leader of Enterprise Informatics at Royal Philips, a €18B global health technology leader. Shez shares how Philips is building people- and patient-centric innovation by partnering with healthcare providers, co-creating solutions, and scaling software and AI-driven insights to meet the growing demands of modern care delivery. A former AWS health exec and practicing neuroradiologist, Shez offers a unique lens on the convergence of tech and clinical practice. He outlines how Philips' software-first strategy is accelerating productivity, reducing clinician burnout, and expanding access to care while also navigating AI trust gaps and reshaping internal engineering practices. Key themes include: The strategy behind Philips' health tech transformation AI's role in automation, augmentation, and agility in care delivery Co-creation with health systems to drive scalable impact Philips' dual-speed innovation model (80% business-led, 20% moonshots)

What makes a great tech infrastructure startup? And how do the best ones successfully navigate, and stand out from, the overcrowded market?In this episode, Yaniv is joined by Joseph Ruscio, General Partner at Heavybit and former CTO of Vibrato, to unpack the dos and don'ts of tech infrastructure startups, how open source fuels growth, and why AI is changing the way software is built.With over 20 years in system software and a portfolio including LaunchDarkly, Netlify, and PagerDuty, Joe brings a front-row perspective to the future of startup building. The conversation dives into bottom-up growth, developer adoption, and the open source strategies that give founders leverage—and how AI agents are reshaping the role of the software engineer.In this episode, you will:Understand why bottom-up adoption often beats enterprise sales for startup growthLearn how AWS scaled from startups to Fortune 500s—and what founders can copyDiscover the power of open source as a go-to-market strategy (and its pitfalls)See why giving away your product can actually accelerate growth and community adoptionExplore how AI is changing developer workflows and the future role of engineersIdentify the risks of being “too close to your own pain” as a technical founderApply practical guidelines for choosing your startup's tech stack without overthinkingDevGuild Open Source: http://heavybit.com/devguild/open-source The Pact Honor the Startup Podcast Pact! If you have listened to TSP and gotten value from it, please:Follow, rate, and review us in your listening appSubscribe to the TSP Mailing List to gain access to exclusive newsletter-only content and early access to information on upcoming episodes: https://thestartuppodcast.beehiiv.com/subscribe Secure your official TSP merchandise at https://shop.tsp.show/  Follow us here on YouTube for full-video episodes: https://www.youtube.com/channel/UCNjm1MTdjysRRV07fSf0yGg Give us a public shout-out on LinkedIn or anywhere you have a social media followingKey linksGet your question in for our next Q&A episode: https://forms.gle/NZzgNWVLiFmwvFA2A The Startup Podcast website: https://www.tsp.show/episodes/Learn more about Chris and YanivWork 1:1 with Chris: http://chrissaad.com/advisory/  Follow Chris on Linkedin: https://www.linkedin.com/in/chrissaad/  Follow Yaniv on Linkedin: https://www.linkedin.com/in/ybernstein/Producer: Justin McArthur https://www.linkedin.com/in/justin-mcarthurIntro Voice: Jeremiah Owyang https://web-strategist.com/

Pete Rubio reveals how Rapid7 transformed to an AI-first platform that automates security investigations and accelerates results from hours to seconds.Topics Include:Pete Rubio introduces Rapid7's journey to becoming an AI-first cybersecurity platformCybersecurity teams overwhelmed by growing attack surfaces and constant alert fatigueCustomers needed faster response times, not just more alerts coming fasterLegacy tools created silos requiring manual triage that doesn't scale effectivelyAI must turn raw security data into real-time decisions humans can trustUnified data platform correlates infrastructure, applications, identity, and business context togetherAgentic AI automates investigative work, reducing analyst tasks from hours to secondsRapid7 evaluated multiple vendors, choosing AWS for performance, cost, and flexibilityNova models delivered unmatched performance for global scaling at controlled costsBedrock provided secure model deployment with governance and data privacy boundariesAWS partnership enabled co-development and rapid iteration beyond typical vendor relationshipsTransparent AI shows customers how models reach conclusions before automated actionsSOC analyst expertise continuously trains models with real-time security intelligenceGovernance frameworks and guardrails implemented from day one, not retrofitted laterFuture plans include customer AI integration and bring-your-own-model capabilitiesParticipants:Pete Rubio – Senior Vice President, Platform & Engineering, Rapid7Additional Links:Rapid 7 – LinkedIn - Website – AWS MarketplaceSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

Michael shares a trick to reduce AWS Config costs for volatile workloads. Andreas talks about EC2 instance families and their availability in the different AWS regions. On top of that, the Wittig brothers share insights into their work and business.

Janvi Bhagchandani is an AWS Community Builder and an AWS Cloud Captian! In this episode she talks about personal branding and self-marketing within the AWS ecosystem while covering aspects like credentials as social proof, visible expertise, community recognition, and other psychological marketing angles that tie these elements together in the AWS context. 00:00 - Intro 05:43 - Cloud Credibility 07:46 - Authority Bias 16:01 - The 7-38-55 Rule 23:09 - The Primacy Effect 34:45 - The Reciprocity Principle 40:57 - Liking Principle 53:00 - Q&A How to find Janvi: https://www.linkedin.com/in/janvi-bhagchandani-b58853256/

Panther CEO William Lowe explains how integrating Amazon Bedrock AI into their security platform delivered 50% faster alert resolution for enterprise customers while maintaining the trust and control that security practitioners demand.Topics Include:Panther CEO explains how Amazon partnership accelerates security outcomes for customersCloud-native security platform delivers 100% visibility across enterprise environments at scaleCustomers like Dropbox and Coinbase successfully replaced Splunk with Panther's solutionPlatform processes petabytes monthly with impressive 2.3-minute average threat detection timeCritical gap identified: alert resolution still takes 8 hours despite fast detectionSecurity teams overwhelmed by growing attack surfaces and severe talent burnoutConstant context switching across tools creates inefficiency and organizational collaboration problemsAI integration with Amazon Bedrock designed to accelerate security team decision-makingFour trust principles: verifiable actions, secure design, human control, customer data ownershipResults show 50% faster alert triage; future includes Slack integration and automationParticipants:· William H Lowe – CEO, PantherSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

Christina Lang's journey from nearly two decades in the military to becoming a DevOps architect shows how discipline, persistence, and a growth mindset can drive career transitions. She shares how the Pybites PDI course helped her rapidly level up her Python skills, the importance of being “humble but hungry” when learning, and how mentorship and structured practice make tackling new challenges achievable. Christina also discusses the unique hurdles veterans face when moving into civilian tech, from cultural adjustments to communication styles, and how their dedication and resilience make them valuable team members once they adapt.Today, Christina applies Python to networking automation, building modules for specific tasks and exploring cloud deployments with OpenTofu, AWS, and Kubernetes. For anyone hesitating to take the next step in Python, Christina encourages: “If you don't feel ready… you probably are. Just pull the trigger, just do it.”Christina's LinkedIn: https://www.linkedin.com/in/christina-lang25Pybites Developer Initialization Program for Veterans: https://pybit.es/veterans/Pybites Podcast 118 - Veterans in the workplace, challenges and tipshttps://www.youtube.com/watch?v=Swg0hj6BPJE ___If you found this podcast helpful, please consider following us!Start Here with Pybites: https://pybit.esDeveloper Mindset Newsletter: https://pybit.es/newsletter

In this episode of Screaming in the Cloud, Corey Quinn talks with Jonathan Schneider, CEO of Moderne and author on Java microservices and automated code remediation. They explore why upgrading legacy systems is so hard, Schneider's journey from Netflix to building large-scale code transformation tools like OpenRewrite, and how major companies like Amazon, IBM, and Microsoft use it.They also discuss AI in software development, cutting through the hype to show where it genuinely helps, and the human and technical challenges of modernization. The conversation offers a practical look at how AI and automation can boost productivity without replacing the need for expert oversight.Show Highlights(2:07) Book Writing and the Pain of Documentation(4:03) Why Software Modernization Is So Hard(6:53) Automating Software Modernization at Netflix(8:07) Culture and Modernization: Netflix vs. Google vs. JP Morgan(10:40) Social Engineering Problems in Software Modernization(13:20) The Geometric Explosion of Software Complexity(17:57) The Foundation for LLMs in Software Modernization(21:16) AI Coding Assistants: Confidence, Fallibility, and Collaboration(22:37) The Python 2 to 3 Migration: Lessons for Modernization(27:56) The Human Element: Responsibility, Skepticism, and the Future of WorkLinksCrying Out Cloud Podcast & Newsletter: https://www.wiz.io/crying-out-cloudModern (Jonathan Schneider's company): https://modern.aiLinkedIn (Jonathan Schneider): https://www.linkedin.com/in/jonathanschneider/

Why you can't rely on a single cloud provider, Jim discovers AI that spreads itself like a worm, and configuring all-flash arrays.   Plugs Support us on patreon and get an ad-free RSS feed with early episodes sometimes FreeBSD Summer Roundup: Guide to Lock-In Free Infrastructure   News/discussion AWS deleted my 10-year account and all […]

After a very long roadtrip, let's explore the lessons we can learn from some of the greatest business models in tech and how or if they apply to the AI era companies. SHOW: 951SHOW TRANSCRIPT: The Cloudcast #951 TranscriptSHOW VIDEO: https://youtube.com/@TheCloudcastNET CLOUD NEWS OF THE WEEK: http://bit.ly/cloudcast-cnotwCHECK OUT OUR NEW PODCAST: "CLOUDCAST BASICS"SHOW SPONSORS:[VASION] Vasion Print eliminates the need for print servers by enabling secure, cloud-based printing from any device, anywhere. Get a custom demo to see the difference for yourself.[DoIT] Visit doit.com (that's d-o-i-t.com) to unlock intent-aware FinOps at scale with DoiT Cloud Intelligence.SHOW NOTES:7 Powers of Competitive DynamicsMicrosoft (Vol 1, Vol 2)Google Meta AWSNVIDIA (Vol 1, Vol 2, Vol 3) LESSONS FROM THE GREATEST BUSINESS MODELSFounder control, nearly immediately profitable, growth strategies, How long Enterprise businesses take to matureIs there an AI business model that's profitable? Is there a business model that isn't Enterprise or Ad-supported?Microsoft - commoditize your compliments, understand market expansions, Google - Customer acquisition, scaling economics, AdWords, AdSenseAWS - Meta - Adapting the offeringsNVIDIA - Vertical integration (HW + SW)FEEDBACK?Email: show at the cloudcast dot netTwitter/X: @cloudcastpodBlueSky: @cloudcastpod.bsky.socialInstagram: @cloudcastpodTikTok: @cloudcastpod

Why you can't rely on a single cloud provider, Jim discovers AI that spreads itself like a worm, and configuring all-flash arrays.   Plugs Support us on patreon and get an ad-free RSS feed with early episodes sometimes FreeBSD Summer Roundup: Guide to Lock-In Free Infrastructure   News/discussion AWS deleted my 10-year account and all... Read More

In today's Cloud Wars Minute, I look at how the four hyperscalers are now spending a billion dollars every day on CapEx to keep up with explosive AI demand.Highlights00:19 — The four hyperscalers — AWS, Microsoft, Google, and Oracle — are now spending, as of Q2, a combined billion dollars a day on CapEx to try to keep up with explosive AI demand. Here's where these numbers come from. And I will say here, I'm calling it Q2, but Oracle's quarter ended May 31.01:00 — But these are very close for the four CapEx spending numbers for the four hyperscalers: AWS, $31.6 billion; Microsoft, about $27 billion. Google Cloud, $22.4 billion. Oracle, $9.1 billion — far more than Oracle has ever spent before. That's a total of $90.1 billion. We had 91 days in the quarter. So yeah, I cheated a little. It's actually $990.1 million per day. But I got a little crazy.02:02 — Andy Jassy, the CEO of Amazon said, “You know, this is a new industry. It's pretty crazy. You know, we've built at AWS a $123 billion annualized run rate business, and we're still in the early days.” All of the business leaders are realizing that to be able to compete going forward, they're going to have to turn their businesses into AI-powered enterprises.03:20 — They don't see this as a one-time seasonal boom that will go back down. They all say, “We think we're going to be spending at these rates going forward.” Oracle CEO Safra Catz, reflecting on the $9 billion that Oracle spent in its quarter ended May 31, said for the coming year, “We are expecting to spend more than $25 billion in CapEx — way more than ever before.”04:05 — CFO Amy Hood gently guided the questioner through this, saying, “That is a lot of money, there's no question about it. But our RPO, or remaining performance obligation — we have future commitments at Microsoft Cloud for $368 billion in customer contracts, and we don't currently have enough capacity to meet that. It's going to continue to go up.” Visit Cloud Wars for more.

Joe Luchs is the Founder and CEO of DatalinxAI, an AI-powered data refinery that simplifies customer data. As an expert in AI, AdTech, MarTech, and SaaS, he previously served as the Global Head of AWS and Amazon Ads at Amazon, where he led global partnerships and AI business development. Joe was also the Commercial Founder and Head of Revenue at Beeswax (acquired by Comcast) and held a leadership role at Oracle. In this episode… Organizations are beginning to implement AI for personalization, automation, and business intelligence. Yet, messy, unstructured, and inconsistent data hinder smooth implementation. How can businesses bridge the gap between cutting-edge AI models and the data readiness required to scale them? According to AI and data expert Joe Luchs, companies often spend years and vast resources on data prep before they notice ROI on AI models. He recommends using secure hybrid cloud architectures, embedding data compliance measures, and automating preparation processes to free up teams from tedious work. By focusing on high-quality data readiness, businesses can accelerate AI adoption, empower staff to focus on innovation, and deliver the hyper-personalized experiences consumers expect. In today's episode of The Digital Deep Dive, Aaron Conant sits down with Joe Luchs, Founder and CEO of DatalinxAI, to discuss preparing data for widespread AI adoption and integration. Joe explains how consultancies have pioneered data readiness, the future of AI-driven brand experiences, and the dangers of leveraging AI without proper regulations.

I am joined by ⁠Sean Lewis⁠, Director of Partnerships at Vicasso and the Serviceblazer User Group Leader for AMER.   We talk about his journey from customer support to sales to partnerships and everything in between. When he was selling, a Salesforce AE sent them a referral to a F100 company that really opened his eyes to the value of the partnership. Now Vicasso has two FTEs focused on partnerships to drive further top of the funnel growth. The partner team at Vicasso focuses on Salesforce AEs, SEs and leaders but has started to explore SI partnerships as well since Vicasso no longer provides SI work as part of their business as a pure ISV. Sean shares an incredibly valuable learning around focus when it comes to coselling with Salesforce.  One time they found that one Service Cloud RVP has 5x the number of existing accounts and were only in 5% of their total accounts. Hyperfocus means Sean and his team knows where they will provide value to them.If your app helps add value to Service Cloud users, the Serviceblazer community events might be worth your time to check out. Here is a link to ⁠join the serviceblazer slack community⁠.We talk a bit about Chris Voss' book called ⁠Never Split the Difference⁠, which is a sales classic everyone can get value out of. And Sean calls out ⁠Matt Kravitz⁠ as a great person to follow to learn about service cloud.And thanks again to ⁠Jon Schultz⁠ for the recommendation to have Sean on!This episode is brought to you by ⁠⁠⁠⁠⁠Invisory⁠⁠⁠⁠⁠. Invisory is designed to meet you where you are: in your cloud marketplace journey through a strong go-to-market strategy that helps drive prospect and co-sell opportunities with Salesforce, AWS, Microsoft, and Google.  v2

In this unplanned and unfiltered conversation, we dive deep into network automation realities with Ivan Pepelnjak, networking’s long standing and independent voice from ipSpace.net. We explore why automation projects fail, dissect the tooling landscape (Ansible vs. Terraform vs. Python), and discuss the cultural barriers preventing enterprises from modernizing their networks. Ivan delivers hard truths about... Read more »

What is AWS, and why should retailers, brands, and marketers care? In this candid conversation, Amazon's Justin Honaman joins the show to demystify Amazon Web Services and its growing role in commerce. From cloud infrastructure and clean rooms to AI-powered analytics and real-world case studies, Justin explains how AWS is transforming legacy tech stacks, powering business agility, and unlocking innovation for companies of all sizes.

AWS executives reveal how generative AI is fundamentally reshaping ISV business models, from pricing strategies to go-to-market approaches, and provide actionable insights for software companies navigating this transformation.Topics Include:Alayna Broaderson and Andy Perkins introduce AWS Infrastructure Partnerships and ISV SalesGenerative AI profoundly changing how ISVs build, deliver and market software productsTwo ISV categories emerging: established SaaS companies versus pure gen AI startupsLegacy SaaS firms struggle with infrastructure modernization and potential revenue cannibalizationPure gen AI companies face scaling challenges, reliability issues and cost optimizationRevenue models shifting from subscription-based to consumption-based pricing per token/prompt/taskFuture-proofing architecture critical as technology evolves rapidly like F-35 fighter jetsData becoming key differentiator, especially domain-specific datasets in healthcare and legalBalancing cost, accuracy, latency and customer experience creates complex optimization challengesMultiple specialized models replacing single solutions, with agentic AI accelerating this trendHuman capital challenges include retraining engineering teams and finding expensive AI talentSecurity, compliance and explainability now mandatory - no more black box solutionsEnterprise customers struggle with data organization and quantifying clear gen AI ROIISV pricing models evolving with tiered structures and targeted vertical use casesTraditional SaaS playbooks failing in generative AI landscape due to ROI uncertaintyPOC-based go-to-market with free trials and case study selling proving most effectivePricing strategies include AI gates, credit systems and separate SKUs for servicesCustomer trust requires proactive security messaging and auditable, transparent AI solutionsModular architecture enables evolution as new technologies emerge in fast-changing marketAWS positioning as ultimate gen AI toolkit partner with ISV collaboration opportunitiesParticipants:Alayna Broaderson - Sr Manager, Infrastructure Technology Partnership, Amazon Web ServicesAndy Perkins - General Manager, US ISV, 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/

Bret discusses exciting news about Swarm being maintained until 2030.

In today's Cloud Wars Minute, I break down a major move by the U.S. government and AWS.Highlights00:02 —The U.S. government is being given access to $1 billion in AWS credits for use until the close of 2028 to help bolster federal cloud adoption and IT modernization efforts.00:38 — We're seeing companies in the Cloud Wars Top 10 and beyond offering the U.S. federal government massive discounts to secure contracts under the administration's AI Action Plan. Companies like DocuSign, Adobe, and Oracle are reportedly providing discounts of up to 70 to 75%. OpenAI is offering ChatGPT at a discounted rate to federal users.01:27 — Secondly, there's a shift we're witnessing. Instead of clashing with the government, these companies are offering significant discounts because they're valuing the opportunity upfront. AI that aligns with the government and private industry will undoubtedly be safer and more reliable.  Visit Cloud Wars for more.

On this week's Double Stint, Jonathan Grace and John Dagys recap the GT World Challenge America powered by AWS action from Road America, catch up on a busy stretch of news, answer listener questions and more.

In today's Cloud Wars Minute, I explored why the groundbreaking Oracle–Google Cloud partnership around Gemini AI marks a bold new era for multi-cloud collaboration.Highlights00:14 — It's a brilliant move by Oracle and Google Cloud to form a partnership where Gemini AI is now available on the Oracle Cloud. Gemini on OCI is pretty wild. Both Oracle and Google compete viciously against each other. At the same time, they're both customer-centric enough to say: " ... in this other area, we're going to create new and significant value for customers."01:52 — Too often, I think tech vendors get into this mindset of: "Well, they're a competitor, so I'm not going to do anything with them — even if that might make life better for customers."I think those days are over. That's why I feel this is truly transformative.02:08 — Both executives from Google Cloud and Oracle spoke in great detail about how this partnership will make life easier for customers. They also talked about how this reflects their new philosophy: "We've got to be open. We've got to give choice — regardless of where it comes from."03:05 — Beyond Oracle and Google Cloud, I'd love to see AWS do some things with competitors. Microsoft has done some of this, but I think there's still room for all these companies to do more. It's the best of both worlds for customers: being able to get combinations of technologies and vendor capabilities rolled into single packages.03:41 — You're going to have both Google Cloud and Oracle salespeople now able to sell Gemini on Oracle Cloud. Just like about a year ago with the multi-cloud agreements — where Oracle Database became available on Azure, AWS, and Google Cloud — those hard and fast walls that used to separate vendors from ever cooperating are coming down. And they're coming down quickly.04:12 — What we see here is that tech vendors have to be not only world-class in the technology they're developing, but also in how they're willing to go to market in unprecedented ways to drive new and significant value for customers. That's going to be one of the primary yardsticks by which vendors are measured — not just by the power of their technology. Visit Cloud Wars for more.

Firearm-related suicides are a hidden public health emergency driven by social despair and systemic inequities.In this episode of Straight Out of Health IT, WellLink's Brian Lane, President and CEO, and Dr. Kim Byas, Vice President of Community Engagement and Impact, share how the Center for Health Affairs in Cleveland partnered with AWS to launch a groundbreaking Social Determinants of Health Innovation Hub. Using clean, harmonized data and predictive modeling, their team has uncovered powerful correlations between firearm suicides and factors like unemployment, housing insecurity, and lack of transportation. This data-driven approach is transforming suicide prevention efforts from reactive to proactive.They discuss how this work has led to targeted interventions, such as deploying trained social workers instead of law enforcement to crisis calls, and inspired replication of the model in other states and internationally. With over 250 organizations collaborating across sectors, the initiative is creating scalable solutions that address both behavioral health crises and their root causes.Brian and Dr. Byas also reveal how AI and large language models are being used to test interventions, improve care pathways, and reduce healthcare costs, all while strengthening community resilience. Their work proves that solving complex health challenges requires both advanced technology and deep community partnerships.Tune in to hear how data, collaboration, and innovation are reshaping the future of suicide prevention!

Send us a textIn this episode, Frank and SteveO cover the latest cloud updates that matter for FinOps practitioners:Compute & AI: AWS launches the P6e GB200 Ultra Servers, delivering record-breaking GPU performance for training and inference at trillion-parameter scale. Google announces FlexStart VMs to lower inference costs, while Azure rolls out free AWS-to-Azure Blob migration.Storage & Data: Google introduces editable backup plans, and AWS adds tagging support for S3 Express One Zone—a step toward using tags as operational levers, not just reporting tools.Visibility & Optimization: AWS Transform enhances EBS cost analysis and .NET modernization insights. GCP improves billing exports with spend-based CUD metadata in BigQuery and previews a Cost Explorer for better spend tracking.Pricing & Commitments: AWS Connect introduces per-day pricing for external voice connectors. Google expands flexible CUDs to cover Cloud Run services, with full migration to the new model coming in January 2026.Savings & Compliance: Azure Firewall adds ingestion-time log transformations to cut monitoring costs. AWS Audit Manager improves evidence collection, reducing compliance overhead and spend.AI-assisted Operations: AWS debuts MCP servers for S3 Tables, CloudWatch, and Application Signals—enabling AI-driven data access, troubleshooting, and observability. Plus, QuickSight doubles SPICE datasets to 2B rows.As always, we cut through the noise to focus on the FinOps impact—cost, commitments, compliance, and the growing role of AI in managing the cloud.

In this episode of the AWS Podcast, we explore the evolving world of contact centers and Amazon Connect. The discussion covers why contact centers remain critical to both business and public sector operations, and how they're transforming from traditional cost centers into valuable sources of business intelligence. Key highlights include Amazon Connect's integration capabilities with AWS services, particularly through AWS Lambda functions, and the recent implementation of generative AI features including contact summarisation, agent evaluations, and Amazon Q in Connect. The conversation emphasizes how modern technology is helping organizations better understand customer needs, improve agent performance, and maintain human empathy in customer service while leveraging automation. The episode also touches on practical aspects of system integration and data management, demonstrating how Amazon Connect helps organizations overcome traditional barriers in contact center operations. https://aws.amazon.com/connect/ https://aws.amazon.com/blogs/contact-center/introducing-the-next-generation-of-amazon-connect/

Episode Summary:AWS Morning Brief for the week of August 18th, 2025, with Corey Quinn. Links: Firefly's 2025 IaC Best Practices Guidea billion dollars in savings highlights why I'm wrongDemystifying Amazon Bedrock Pricing for a Chatbot AssistantImproving Your Visibility to AWS Sales: A Practical Guide for PartnersAnthropic's Claude Sonnet 4 in Amazon Bedrock Expanded Context WindowAmazon EC2 Single GPU P5 instances are now generally available Announcing Extended Support for Amazon DocumentDB (with MongoDB compatibility) version 3.6CVE-2025-8904 - Issue with Amazon EMR Secret Agent componentAmazon DynamoDB now supports more frequent throughput mode updates from provisioned to on-demand capacity Validate radiology reports using Amazon NovaAmazon FSx for OpenZFS now supports Internet Protocol Version 6 (IPv6)AWS Resource Explorer now Supports Filtering for Multiple ValuesAWS IAM Identity Center introduces support for user background sessions with Amazon SageMaker Studio Amazon FSx for NetApp ONTAP now supports decreasing your SSD storage capacity AWS Security Incident Response now supports membership coverage for individual AWS organizational unitsUnderstanding AWS Savings Plan Recommendations: Payer vs. Linked Account Views 

Hear how PagerDuty and Zoom built successful AI products using Amazon Q-Index to solve real customer problems like incident response and meeting intelligence, while sharing practical lessons from their early adoption journey.Topics Include:David Gordon introduces AWS Q-Business partnerships with PagerDuty and ZoomMeet Everaldo Aguiar: PagerDuty's Applied AI leader with academia and enterprise backgroundPaul Magnaghi from Zoom brings AI platform scaling experience from SeattleQ-Business launched over a year ago as managed generative AI servicePlatform enables agentic experiences: content discovery, analysis, and process automationBuilt on AWS Bedrock with enterprise guardrails and data source integrationPartners wanted backend capabilities but preferred their own UI and modelsQ-Index provides vector database functionality for ISV partner integrationsEveraldo explains PagerDuty's evolution from traditional ML to generative AI solutionsHistorical challenges: alert fatigue, noise reduction using machine learning approachesNew gen AI opportunities: incident context, relevant data surfacing, automated postmortemsEngineering teams faced learning curve with agents and high-latency user experiencesPaul discusses Zoom's existing AI: virtual backgrounds and voice isolation technologyAI Companion strategy focused on simplicity during complex generative AI adoptionProblem identified: valuable meeting conversations disappear after Zoom calls endCustomer feedback revealed need for enterprise data integration beyond basic summariesGoal: combine unstructured conversations with structured enterprise data seamlesslyPagerDuty Advanced provides agentic AI for on-call engineers during incidentsQ-Index integration accesses internal documentation: Confluence pages, runbooks, proceduresDemo shows Slack integration pulling relevant incident response documentation automaticallyAccess control lists ensure users see only data they're authorized to accessZoom's AI companion panel enables real-time meeting questions and summariesExample use cases: decision tracking, incident analysis, action item identificationAdvice for starting: standardize practices and create internal development templatesSingle data access point reduces legal and security evaluation overheadCenter of excellence approach helps teams move quickly across product divisionsCut through generative AI buzzwords to focus on real user valueFederated AWS Bedrock architecture provides model choice and flexibility meeting customersCustomer trust alignment between Zoom conversations and AWS data handlingGetting started: PagerDuty Advance available now, Zoom AI free with paid add-onsParticipants:Everaldo Aguiar – Senior Engineering Manager, Applied AI, PagerDutyPaul Magnaghi – Head of AI & ISV Go To Market, ZoomDavid Gordon - Global Business Development, Amazon Q for Business. Amazon Web ServicesFurther Links:PagerDuty Website, LinkedIn & AWS MarketplaceZoom Website, LinkedIn & AWS MarketplaceSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

In today's Cloud Wars Minute, I take a closer look at AWS's market positioning and the narrative shared during its recent earnings call.Highlights00:36 — I was puzzled by some of the math and the numbers that Amazon CEO Andy Jassy, speaking on behalf of AWS on the Amazon earnings call, used in trying to describe the competitive position that AWS finds itself in.01:28 — We've got AWS, now on a $123 billion annualized run rate, and which grew 17.5% in Q2, which is extremely good for a company that size. The challenge comes in when you compare it with the growth rates, both in recent-quarter revenue, but also RPO, or backlog. AWS is far, far behind the other three hyperscalers on those metrics, or the rate of acceleration as they each grew from Q2 over Q1.02:12 — On the earnings call, Jassy said the second player has revenue that's only 65% as big as AWS. So that has to be Microsoft. So he's saying that Microsoft's cloud revenue is more in the range of $75 to $80 billion, but it's more than twice that — $187 billion. I don't get that. Maybe he's trying to say it's only about infrastructure, but he doesn't say that.03:46 — The issue is that the AWS growth rate is lower than that of Microsoft, Google Cloud, and Oracle, and it has been lower for at least the last eight quarters. Yet on the earnings call, Jassy said, "Sometimes we grow faster than they do, sometimes they grow faster than we do."04:07 — So, perhaps Andy Jassy, who has been an extraordinary executive, I'm not questioning his overall capability, his record stands for itself. But Jassy is choosing to try to play a little bit of a shell game here, trying to say that Microsoft's whole cloud revenue isn't all there, or some is illegitimate — something like that.05:26 — It's something that AWS has to address, own up to, and figure out what to do about it. And I think AWS is a great company. I don't think it helps AWS's cause for Andy Jassy to be using some numbers and representations of the market that seem to clash with reality. Visit Cloud Wars for more.

On today's episode, Clay Finck breaks down his best quality stock idea for Q3 2025: Amazon. Clay explores how Amazon has evolved from a low-margin online retailer into a diversified, high-margin tech platform. He also makes the case as to why Big Tech may be systemically undervalued, providing a unique opportunity for investors willing to ride out the higher levels of stock price volatility. IN THIS EPISODE YOU'LL LEARN: 00:00 - Intro 03:02 - Why Big Tech, despite its size, may be systemically undervalued. 15:16 - How Amazon evolved from a low-margin online retailer into a high-margin tech platform. 25:11 - The three megatrends Amazon is positioned to benefit from. 29:17 - A breakdown of Amazon's four main business segments: Retail, AWS, Advertising, and Prime. 50:02 - Amazon's key competitive advantages and culture of reinvention. 55:07 - How we view Amazon's valuation today. And so much more! Disclaimer: Slight discrepancies in the timestamps may occur due to podcast platform differences. BOOKS AND RESOURCES Join Clay and a select group of passionate value investors for a retreat in Big Sky, Montana. Learn more ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠here⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Join the exclusive ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠TIP Mastermind Community⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to engage in meaningful stock investing discussions with Stig, Clay, Kyle, and the other community members. MBI Deep Dives: ⁠Amazon⁠. The Intrinsic Value Podcast ⁠episode⁠ on Amazon. Daniel's ⁠model⁠ for Amazon. ⁠The Systemic Undervaluation of Big Tech⁠. Mentioned Episode ⁠TIP727: 7 Powers by Hamilton Helmer⁠. Related Episode ⁠TIP722: Best Quality Idea Q2 2025⁠. Related Episode ⁠TIP698: Best Quality Idea Q1 2025⁠. Related Episode ⁠TIP675: Best Quality Idea Q4 2024. Related Episode ⁠TIP652: Best Quality Idea Q3 2024. Follow Clay on ⁠X⁠ and ⁠LinkedIn⁠. Check out all the books mentioned and discussed in our podcast episodes ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠here⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Enjoy ad-free episodes when you subscribe to our ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Premium Feed⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. NEW TO THE SHOW? Get smarter about valuing businesses in just a few minutes each week through our newsletter, ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠The Intrinsic Value Newsletter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Check out our ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠We Study Billionaires Starter Packs⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Follow our official social media accounts: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠X (Twitter)⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ | ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠LinkedIn⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ | ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Instagram⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ | ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Facebook⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ | ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠TikTok⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Browse through all our episodes (complete with transcripts) ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠here⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Try our tool for picking stock winners and managing our portfolios: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠TIP Finance Tool⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Enjoy exclusive perks from our ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠favorite Apps and Services⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Learn how to better start, manage, and grow your business with the ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠best business podcasts⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. SPONSORS Support our free podcast by supporting our ⁠⁠sponsors⁠⁠: SimpleMining HardBlock AnchorWatch Human Rights Foundation Cape Unchained Vanta Shopify Onramp Abundant Mines HELP US OUT! Help us reach new listeners by leaving us a ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠rating and review⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ on ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Spotify⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠! It takes less than 30 seconds, and really helps our show grow, which allows us to bring on even better guests for you all! Thank you – we really appreciate it! Support our show by becoming a premium member! ⁠⁠https://theinvestorspodcastnetwork.supportingcast.fm⁠ Support our show by becoming a premium member! https://theinvestorspodcastnetwork.supportingcast.fm Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://theinvestorspodcastnetwork.supportingcast.fm

Confused by AI jargon and unsure which tools actually move the needle for your business? We break down the real differences between traditional algorithms, large language models (LLMs), and agents — including agentic AI — and give practical guidance leaders can use now.Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Thoughts on this? Join the convo.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:Choosing AI: Algorithms vs. AgentsUnderstanding AI Models and AgentsUsing Conditional Statements in AIImportance of Data in AI TrainingRisk Factors in Agentic AI ProjectsInnovation through AI ExperimentationEvaluating AI for Business SolutionsTimestamps:00:00 AWS AI Leader Departs Amid Talent War03:43 Meta Wins Copyright Lawsuit07:47 Choosing AI: Short or Long Term?12:58 Agentic AI: Dynamic Decision Models16:12 "Demanding Data-Driven Precision in Business"20:08 "Agentic AI: Adoption and Risks"22:05 Startup Challenges Amidst Tech Giants24:36 Balancing Innovation and Routine27:25 AGI: Future of Work and SurvivalKeywords:AI algorithms, Large Language Models, LLMs, Agents, Agentic AI, Multi agentic AI, Amazon Web Services, AWS, Vazhi Philemon, Gen AI efforts, Amazon Bedrock, talent wars in tech, OpenAI, Google, Meta, Copyright lawsuit, AI training, Sarah Silverman, Llama, Fair use in AI, Anthropic, AI deep research model, API, Webhooks, MCP, Code interpreter, Keymaker, Data labeling, Training datasets, Computer vision models, Block out time to experiment, Decision-making, If else conditional statements, Data-driven approach, AGI, Teleporting, Innovation in AI, Experiment with AI, Business leaders, Performance improvements, Sustainable business models, Corporate blade.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Ready for ROI on GenAI? Go to youreverydayai.com/partner

Developers Rizel Scarlett and Ian Douglas join Ned and Kyler to talk about building an AI agent. Rizel and Ian work at Block, where they’re part of a team building an agent called Goose. They talk about what the agent does, building challenges, observability, and more. They also dive into topics such as how using AI... Read more »