Podcasts about Amazon Web Services

MIT just dropped a bomb: 95% of corporate AI initiatives are failing. Not struggling. Failing. And Sandy Carter knows exactly why. In this episode of The Trending Communicator, I sit down with Sandy, currently Chief Business Officer at Unstoppable Domains, former VP at Amazon Web Services, and the person who turned IBM's "social business" concept nobody understood into a $200 billion market. Sandy's written seven books, been named to every power list that matters (CNN's Top 10 Most Powerful Women in Tech, Forbes 50 Over 50), but what caught my attention is her philosophy: "AI First, Human Always." While everyone's either selling AI snake oil or running scared, Sandy's figured out something crucial. Companies aren't failing at AI because the technology doesn't work. They're failing because they're treating it like any other IT rollout: layer it on top of broken processes and hope for magic. Sandy shares why CEOs need to stop brainstorming and start "playstorming," what happens when you ignore Reddit for three years, and why your daughter talking to Grok about party outfits might be the most important trend in communications. Listen in and hear about: The real reason 95% of corporate AI fails (hint: it's not the technology) Moving beyond productivity theater to genuine transformation Why GEO (Generative Engine Optimization) changes everything for communicators The "play storm" revolution and why your CEO needs to get their hands dirty How ignoring Reddit and Wikipedia is killing your AI presence The generational divide in AI adoption and what it means for business Notable Quotes "Audiences today are ready to move on from 'how do I use gen AI for productivity?' into something deeper: What does it mean for us as humans?" - Sandy Carter [00:05:14] "If your process already didn't work, there's no magic in AI that's going to make it wake up and work." - Sandy Carter [00:18:42] "You have to experience it. You have to get your hands into it. You have to play with an agent." - Sandy Carter [00:27:38] "If you take one thing from this whole podcast, put your company in [AI search], put yourself in too, and see what comes out." - Sandy Carter [00:50:54] Resources and Links Dan Nestle Inquisitive Communications | Website The Trending Communicator | Website Communications Trends from Trending Communicators | Dan Nestle's Substack Dan Nestle | LinkedIn Sandy Carter sandycarter.net | Website Unstoppable Domains | Website Sandy Carter | LinkedIn Sandy's Book: AI First, Human Always Timestamps 0:00 Intro: Host welcomes Sandy Carter 5:23 AI's impact on human meaning and work 10:24 Why 95% of corporate AI projects fail 15:23 Redesigning workflows for AI integration 20:44 Generational differences in AI adoption 26:58 The importance of "play storming" with AI 32:13 Training everyone on AI, not just tech teams 37:05 Voice interfaces and generational preferences 41:32 Generative Engine Optimization (GEO) strategies 48:43 Checking your company's AI presence 54:41 Closing thoughts on AI and communications (Notes co-created by Human Dan, Claude, and  Flowsend.ai ) Learn more about your ad choices. Visit megaphone.fm/adchoices

Aditya Vasudevan, Cohesity's cyber recovery expert, shares battle-tested insights from defending Fortune 100 companies against AI-powered cyberattacks.Topics Include:Cohesity protects 85% of Fortune 100 data with battle-tested cyber recovery experienceTop 10 cyber adversaries target organizations; Cohesity has defended against most major threatsGenAI adopted by 100 million users in two months, creating unprecedented security challengesNew AI threats include prompt injection, synthetic identities, shadow AI, and supply vulnerabilitiesAttackers now use AI for sophisticated phishing, automated malware, and accelerated attack chainsReal companies completely banned AI after code leaks, misuse incidents, and data concernsThree-pillar security approach: fight AI with AI, enhanced training, and automated workflowsSecure AI design requires private deployments, complete traceability, and role-based access controlsAmazon Bedrock offers built-in guardrails, private VPCs, and enterprise monitoring capabilitiesCohesity's Gaia demonstrates secure AI with RAG architecture and permission-aware data accessResilience strategy combines immutable backups, anomaly detection, and recovery automation for incidentsProper AI security reduces cyber insurance premiums and prevents costly downtime disastersParticipants:Aditya Vasudevan - GVP of Cyber Resiliency, Cohesity Further Links:Cohesity: 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/

Tyler Warden, SVP of Product at Sonatype, shares surprising research on security, productivity and prioritization, with actionable strategies for organizational transformation. Topics Include:Tyler from Sonatype (Maven creators) shares research on security culture in developmentSecurity is more cultural than tooling, with rising supply chain attacksDevelopment speeds up while global regulations rapidly change across marketsTyler's background: wanted to be a Broadway conductor, not tech speakerBeethoven's 9th Symphony story: nephew missed a dot, changing tempo foreverWe can "be the dot" - small changes creating big organizational impactThree organization types: Leaders (collaborative), Adapters (balanced), Protectors (security-first)Leaders achieve best productivity and security but face executive skepticismResearch reveals balanced teams outperform purely security-focused or productivity-focused approachesHigh-performance teams go faster AND stay more secure than alternatives"Yes" philosophy from improv comedy: fun happens when we enable innovationApply proven supply chain principles from manufacturing to software development security Participants:Tyler Warden – Senior Vice President, Product, SonatypeFurther Links:Sonatype: 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 week began with major news from Oracle, announcing its fiscal 2026 Q1 results. In other news, SAP announced it has completed the acquisition of SmartRecruiters, a provider of enterprise-grade talent acquisition software. In more expansion-related news, Qlik announced the upcoming availability of the Qlik Cloud Canada region on Amazon Web Services (AWS). Finally, Salesforce announced the Winter '26 Release, rolling out hundreds of powerful AI, data, and automation advancements, generally available starting October 13th.Connect with us!https://www.erpadvisorsgroup.com866-499-8550LinkedIn:https://www.linkedin.com/company/erp-advisors-groupTwitter:https://twitter.com/erpadvisorsgrpFacebook:https://www.facebook.com/erpadvisorsInstagram:https://www.instagram.com/erpadvisorsgroupPinterest:https://www.pinterest.com/erpadvisorsgroupMedium:https://medium.com/@erpadvisorsgroup

Want our guide to master AI Agents? Get it here: https://clickhubspot.com/bka Episode 76: What actually makes something a real "AI Agent"—and how close are we to AI handling complex work entirely on its own? Matt Wolfe (https://x.com/mreflow) is joined by Deepak Singh (https://x.com/mndoci), Vice President at AWS and leader of Amazon's Agentic AI infrastructure teams. With over 17 years at Amazon and a PhD in theoretical chemistry, Deepak brings unparalleled insights into the development and future of AI agents, from early neural networks to today's autonomous multi-agent systems. In this episode, the conversation breaks down the hype vs. reality of AI agents. Deepak shares how AWS is pioneering true agentic AI—systems that use LLM-powered reasoning, autonomy, and reflection to tackle everything from Formula One race analytics to massive code migrations and breakthrough drug discovery. You'll also learn how even small businesses can start leveraging agentic tools today, the rise of new agent standards like MCP and A2A, and why skills in articulating and breaking down problems are more valuable than ever for future-proofing your career. Check out The Next Wave YouTube Channel if you want to see Matt and Nathan on screen: https://lnk.to/thenextwavepd — Show Notes: (00:00) AI Agents: Transforming Industries (03:58) Generative AI's Everyday Impact (06:39) Generative AI's Creative Potential (12:30) Autonomy in Software Development Agents (14:58) Agentic AI's Evolving Impact (19:26) Iterative Agent Decision-Making (21:53) Agent Core: Future of Agent Identity (23:15) Lower Barriers, Autonomous Agents (28:20) Ensuring Safe and Accurate Outputs (31:42) MCP: Standardizing LLM Tool Access (34:39) Real-World AI Applications for Business (36:50) Efficient Call Response Systems (42:31) Effective Problem Solving with LLMs (43:48) AI Skills Over Programming Language (47:30) AI Agents Revolutionizing Work — Mentions: Deepak Singh: https://www.linkedin.com/in/dsingh/ Amazon Web Services (AWS): https://aws.amazon.com/ Amazon Bedrock: https://aws.amazon.com/bedrock/ Kiro: https://kiro.dev/ Perplexity: https://www.perplexity.ai/ Zapier: https://zapier.com/ Make.com: https://www.make.com/en Get the guide to build your own Custom GPT: https://clickhubspot.com/tnw — Check Out Matt's Stuff: • Future Tools - https://futuretools.beehiiv.com/ • Blog - https://www.mattwolfe.com/ • YouTube- https://www.youtube.com/@mreflow — Check Out Nathan's Stuff: Newsletter: https://news.lore.com/ Blog - https://lore.com/ The Next Wave is a HubSpot Original Podcast // Brought to you by Hubspot Media // Production by Darren Clarke // Editing by Ezra Bakker Trupiano

Dive into the "AI multiverse" with AWS Executives in Residence Jake Burns and Tom Soderstrom as they explore why some organizations are seeing massive productivity gains with agentic AI while others struggle to see value. Drawing from their extensive enterprise experience, they reveal how treating AI agents like human team members - with clear specifications, iterative feedback, and proper context - can unlock unprecedented productivity gains that far exceed the reported 30% improvements. Burns and Soderstrom share practical insights on creating a culture of experimentation, emphasizing why traditional ROI metrics may hinder innovation and why "return on attention" could be a better early indicator of success. From leveraging multi-agent systems to democratizing AI adoption through "centers of engagement," this episode offers essential guidance for leaders seeking to position their organizations on the right side of AI transformation. Don't miss these actionable strategies for winning in the age of agentic AI!

Tiempo de análisis con los periodistas Eva Sereno, Álvaro Sierra y con Gustavo García, trabajador social: Análisis sobre la entrevista al consejero Octavio López sobre vivienda e inversiones en Aragón. Siguen las reacciones a las protestas que han cancelado la última etapa de la Vuelta Ciclista a España. Y en Aragón, Amazon Web Services, CIRCE y el clúster CLENAR hacen una jornada sobre la aplicación de la IA al sector energético. Además, es el Día del Teletrabajo y miramos la estadística post pandemia. Los sanitarios hacen una concentración a las 11 en la puerta del Hospital Clínico reivindicando el Estatuto Marco. Y terminamos con una jornada de detección y atención de la violencia de género en las comunidades vecinales, qué debemos hacer como vecinos.

La nueva alianza estratégica entre TD SYNNEX y Amazon Web Services busca acelerar la adopción de nube e inteligencia artificial en la región, brindando programas de habilitación, inversión conjunta y acceso optimizado al AWS Marketplace, con especial foco en los socios y pymes de Latinoamérica.

Microsoft and OpenAI are kinda breaking up.

Learn how Amazon Bedrock enabled Prophix to build enterprise-grade AI agents that transform secure CFO workflows, while delivering real-time financial intelligence through advanced agentic architecture. Topics Include:AWS and Prophix leaders discuss building autonomous AI agents for financial managementAI agents defined: autonomous systems that reason, plan, and execute tasks independentlyEvolution from simple chatbots to collaborative multi-agent systems solving complex problemsCore agent components: cognitive planning module, memory systems, and external tool integrationsProphix: 30-year financial software company serving 3,500 CFO offices globally across industriesProphix One Intelligence: platform-level AI service powering predictions, analysis, and automationCustomer concerns addressed: data privacy, role-based security, accuracy, and cost controlRejected "models in the sky" approach for AWS Bedrock's managed, controllable infrastructureAgentic architecture: LLMs generate API parameters instead of processing massive datasetsReal-time data access, automatic security inheritance, and A/B testing capabilities achievedLive demo: automated budgeting workflows, natural language queries, and autonomous task executionAWS introduces AgentCore platform to simplify agent development for enterprise customersParticipants:Anurag Yagnik – Chief Technology Officer, ProphixDeborshi Choudhury – Sr Solutions Architect – ISV, Amazon Web ServicesFurther Links:Prophix: Website | LinkedIn See how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

This week on Green Desk, Wire Host Sara takes a deep-dive into the environmental issues surrounding the proliferation of AI technology, particularly in New Zealand. In the context of Luxon's recent announcement about a $7.5 billion investment by Amazon Web Services into data centres in New Zealand, alongside the rapid adoption of generative AI in sectors across the country, academics have raised concerns about the environmental impact of the growth of this industry. Last year, University of Waikato's Dr Amanda Turnbull co-published an article about how New Zealand is outsourcing the “risks and costs” of AI and data centres, highlighting the water and resource consumption of global reliance on data centres and AI.  Sara spoke with Dr Amanda Turnbull about her concerns relating to AI's environmental impact and how the New Zealand government should be responding to the ever-expanding industry. Following the interview with Turnbull, Sara was interested in exploring how businesses are confronting the issue of AI, especially as it becomes more integral to work. Layer3's Solution Director Daniel Bohan published an article earlier this year scrutinising the confusing data surrounding the water footprint of AI. Sara spoke with Bohan more about how businesses and consumers should engage with AI and better understand the environmental impacts.  She start by asking about how he engaged with AI in his mahi

This week on Green Desk, Wire Host Sara takes a deep-dive into the environmental issues surrounding the proliferation of AI technology, particularly in New Zealand. In the context of Luxon's recent announcement about a $7.5 billion investment by Amazon Web Services into data centres in New Zealand, alongside the rapid adoption of generative AI in sectors across the country, academics have raised concerns about the environmental impact of the growth of this industry. Last year, University of Waikato's Dr Amanda Turnbull co-published an article about how New Zealand is outsourcing the “risks and costs” of AI and data centres, highlighting the water and resource consumption of global reliance on data centres and AI.  Sara spoke with Dr Amanda Turnbull about her concerns relating to AI's environmental impact and how the New Zealand government should be responding to the ever-expanding industry. Following the interview with Turnbull, Sara was interested in exploring how businesses are confronting the issue of AI, especially as it becomes more integral to work. Layer3's Solution Director Daniel Bohan published an article earlier this year scrutinising the confusing data surrounding the water footprint of AI. Sara spoke with Bohan more about how businesses and consumers should engage with AI and better understand the environmental impacts.  She start by asking about how he engaged with AI in his mahi

Dean Teffer of Arctic Wolf reveals how they process 8 trillion weekly security observations to find "a needle in a stack of needles," and breaks down real-world GenAI lessons learned.Topics Include:Dean Teffer, VP of AI at Arctic Wolf, discusses company's GenAI journeyArctic Wolf: decade-old security operations company serving mid-market customers globallyOperates massive security operation center, now launching AI-powered productsAI agent recently identified Black Basta ransomware attack, enabling rapid containmentDean's 15+ years in cybersecurity: traditional ML focused on detectionGenAI breakthrough allows natural language interaction with security modelsArctic Wolf processes 8 trillion weekly observations, correlating suspicious activitiesChallenge: finding specific threats in "stack of needles," not haystackSuccess measured by making human analysts faster, more consistent, scalableEvolved from treating GenAI like traditional ML to integrated workflowsKey misconception: GenAI isn't magic, needs proper data and reasoningAdvice: start with existing challenges, build flexible systems for adaptationGenAI excels at summarizing information and supporting complex decisionsFuture vision: AI handles routine threats, humans focus on creativityDemocratizing machine learning capabilities to broader range of subject expertsParticipants:Dean Teffer – Vice President of AI, Arctic WolfFurther Links:Arctic Wolf: 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/

Fall is here, which means back to school, football season, crisp apples, and the world's biggest blend of tech conference and music festival: Dreamforce. Now in its 22nd year, Dreamforce 2025 returns to San Francisco on October 16–18, featuring headline speakers like the CEOs of Google and Starbucks, plus musical guests Metallica and Benson Boone.In this week's episode, Jim welcomes Ariel Kelman, President and Chief Marketing Officer of Salesforce, to talk about the power of Dreamforce, what it's like working under visionary founders like Marc Benioff and Jeff Bezos, and why rethinking organizational design with agentic AI at the core is critical for the future. With Salesforce leading the charge in cloud-based CRM and now AI innovation, Ariel shares his unique journey—from his early days at Salesforce, to Amazon Web Services, to Oracle, and back again—offering lessons in marketing leadership at scale.---This week's episode is brought to you by Deloitte.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

CyberArk's technology leader discusses their strategy for securing against AI threats, protecting agentic AI systems, and their vision for the future in an increasingly AI-driven cybersecurity landscape.Topics Include:CyberArk celebrates recent exciting news while discussing their incredible cybersecurity journeyFounded in 1999, CyberArk pioneered privilege access management and expanded into comprehensive identity securityCompany executed textbook SaaS transformation from perpetual licensing to subscription-based cloud modelLeadership set clear customer expectations, framing SaaS shift as faster innovation deliveryAddressed customer concerns about cost predictability, security compliance, and data residency requirementsTechnical team implemented lift-and-shift architecture with AWS RDS and multi-tenant improvementsCorporate initiative tracked weekly metrics and milestones throughout full development lifecycle processCustomer Success evolved from transactional support to strategic partnership embedded in security journeysAWS partnership fundamental to cloud journey with 25+ integrations and Marketplace collaborationAI strategy focuses on three pillars: using AI, securing against AI threatsFuture 12-24 months: continue securing all identities while expanding AI capabilities and solutionsAWS partnership expanding in 2025 leveraging machine identity leadership and GenAI advancesParticipants:Peretz Regev – Chief Product & Technology Officer, CyberArkBoaz Ziniman – Principal Developer Advocate - EMEA, Amazon Web ServicesFurther Links:· CyberArk: 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/

Oracle (ORCL) is set to report earnings after the bell. Dan Morgan breaks down the key metrics to watch, including cloud growth, which is expected to drive long-term growth for the company. Morgan believes Oracle's cloud business is finally gaining traction, with 23 new data centers in the pipeline, and its second-generation cloud is competitive with Amazon Web Services (AWS) and Microsoft (MSFT) Azure, thanks to its 30% lower costs. Guidance will be crucial in justifying further share price appreciation, which has already surged over 40% YTD.======== Schwab Network ========Empowering every investor and trader, every market day. Subscribe to the Market Minute newsletter - https://schwabnetwork.com/subscribeDownload the iOS app - https://apps.apple.com/us/app/schwab-network/id1460719185Download the Amazon Fire Tv App - https://www.amazon.com/TD-Ameritrade-Network/dp/B07KRD76C7Watch on Sling - https://watch.sling.com/1/asset/191928615bd8d47686f94682aefaa007/watchWatch on Vizio - https://www.vizio.com/en/watchfreeplus-exploreWatch on DistroTV - https://www.distro.tv/live/schwab-network/Follow us on X – https://twitter.com/schwabnetworkFollow us on Facebook – https://www.facebook.com/schwabnetworkFollow us on LinkedIn - https://www.linkedin.com/company/schwab-network/ About Schwab Network - https://schwabnetwork.com/about

In this episode, we're unpacking the remarkable cultural transformation of Guardian Life, a 165-year old insurance company that's embracing startup thinking to drive innovation. Hear from Erin Culek, Head of Financial Protection and Retirement Solutions at Guardian, as she discusses how combining AI solutions with customer-centric innovation has dramatically improved the company's service delivery, reducing four-week processes to near-instant results. Drawing from her experience leading both strategy and business operations, Culek shares how Guardian's "test and learn" culture combined with Amazon's “two-pizza team” approach is accelerating digital transformation across the enterprise. From fostering a culture of experimentation to implementing transformative AI initiatives, this episode offers essential insights for leaders navigating legacy transformation. Don't miss this inspiring conversation about turning institutional wisdom into competitive advantage through startup thinking.

Send us a textDiya Wynn, Responsible AI Lead at Amazon Web Services, takes us on a remarkable journey from her childhood in the South Bronx to becoming a technology leader championing fairness in artificial intelligence. Her story begins with a pivotal moment at age eight when, after receiving a basic computer as an academic achievement award, she declared she wanted to be a computer engineer—a path that would shape her entire professional life.What makes Diya's perspective so valuable is how she demystifies AI for families. Rather than presenting artificial intelligence as some futuristic concept, she helps us recognize how it's already woven into our daily lives through search engines, streaming recommendations, and customer service interactions. This familiarity makes AI more approachable for both parents and children navigating today's digital landscape.For children curious about future careers, Diya offers reassuring guidance. As AI continues changing the job landscape, she emphasizes developing timeless human capabilities—critical thinking, problem-solving, emotional intelligence, and effective communication—that will remain valuable regardless of technological evolution. Her message inspires young listeners to approach technology with curiosity rather than fear.Resources Mentioned in the EpisodeAmber invited kids (through their parents) to share stories or be guests.Email: contact@aidigitales.comDiya described her role leading Responsible AI initiatives at Amazon Web Services (AWS). AWS Responsible AI page: https://aws.amazon.com/ai/responsible-ai/Code.org – Free coding lessons and AI-related activities. https://code.orgPartyRock by AWS – A fun, no-code way to create generative AI apps. https://partyrock.awsGoogle AI courses for beginners (referenced as free learning resources). https://ai.google/education/Microsoft Learn (free coding & AI training modules). https://learn.microsoft.com/training/Data Science Camp (DMV area) https://datasciencecamp.orgSupport the showHelp us become the #1 podcast for AI for Kids.Buy our new book "Let Kids Be Kids, Not Robots!: Embracing Childhood in an Age of AI"Social Media & Contact: Website: www.aidigitales.com Email: contact@aidigitales.com Follow Us: Instagram, YouTube Gift or get our books on Amazon or Free AI Worksheets Listen, rate, and subscribe! Stay updated with our latest episodes by subscribing to AI for Kids on your favorite podcast platform. Apple Podcasts Amazon Music Spotify YouTube Other Like our content, subscribe or feel free to donate to our Patreon here: patreon.com/AiDigiTales...

Colby Ward of Amazon Web Services talks about leveraging agentic AI for competitive advantage; navigating change management; data; & eliminating spreadsheets.  IN THIS EPISODE WE DISCUSS:   [04.04] An introduction to Colby, his background, and role at Amazon Web Services. [06.58] An overview of AWS – who they are, what they do, and how they help their customers. “Everybody knows the expression: ‘Garbage in, garbage out!' But no one seems to focus on that area enough. They seem to say: “Well, here's our solution, whatever your data is, we'll take it.” And nobody focuses on: “How can I connect your data in an easier way?” “Our goal is to eventually eliminate the spreadsheet on every supply chainers desktop!” [10.30] Where enterprise technology has focused over the last couple of decades, the positives and negatives, and how we've got to where we are today. [14.17] The problem with generic SaaS systems in supply chain, and how agentic AI can deliver improved orchestration and eliminate bias. “SaaS systems are designed to fit any customer need, not your specific needs…. It has to be built in a generic way, so they offer configurable options, different APIs, but you're molding a generic system. And the problem is: supply chain problems aren't generic. They're specific. When you translate the word supply chain, what you're really saying is business operations. So that's a big topic!” “Not conjecture, not just leaving it up to somebody's best instinct… When you're operating on data-driven decisions, you don't have to second guess.” [22.27] How businesses can tackle outdated processes and deal with dirty data to leverage agentic AI in the most effective ways. “People say that data is the new oil, and that's true. But, like oil, if it's unrefined, it's useless.” [29.17] Leveraging agentic AI for competitive advantage, and why businesses should be thinking about creating the most amount of outputs from the least amount of inputs. “Enterprise A that doesn't use AI will eventually be the lumber yard that never bothered with a chainsaw. There's a reason we moved from axes to chainsaws, and AI is your chainsaw!” [35.21] Whether or not agentic AI will level the playing field. [37.34] An overview of ontologies, process and knowledge graphs, and how they can guide agents to achieve next-level intelligence. [42.36] Change management, and how businesses should be thinking about people alongside technology to ensure the best chance of success. “If you visualize this as a tool to help you with your job, you're immediately going to be better off… Make sure you have an AI strategy in place. Don't be dismissive that this is the next new fad. It's not. It's transformative.” [45.00] Are we ready? What organizations should take away from this discussion.   RESOURCES AND LINKS MENTIONED:   Head over to Amazon Web Service's website now to find out more and discover how they could help you too. You can also connect with AWS and keep up to date with the latest over on LinkedIn, Facebook, YouTube, Instagram or X (Twitter), or you can connect with Colby on LinkedIn. If you enjoyed this episode and want to hear more about AI and change management in supply chain, check out 458: Demystifying Industry Buzzwords and Innovating Intermodal, with Lynxis or 486: Revealed – The Number One Way To Make Your Supply Chain Future-Proof. Check out our other podcasts HERE.

Three leading ISV executives from Coveo, DTEX Systems and Honeycomb, reveal how companies with proprietary datasets are gaining unbeatable competitive advantages in the AI era and share real-world strategies how you have similar outcomes.Topics Include:Panel introduces three ISV leaders discussing data platform transformation for AIDTEX focuses on insider threats, Coveo on enterprise search, Honeycomb on observabilityCompanies with proprietary datasets gain strongest competitive advantage in AI transformationData gravity concept: LLMs learning from unique datasets create defensible business positionsCoveo maintains unified enterprise index with real-time content and access rights syncHoneycomb enables subsecond queries for analyzing logs, traces, and metrics at scaleMulti-tenant architectures balance shared infrastructure benefits with single-tenant data separationCoveo deployed 140,000 times last year using mostly multi-tenant, some single-tenant componentsDTEX scaled from thousands to hundreds of thousands endpoints after architectural transformationCapital One partnership taught DTEX how to break monolithic architecture into servicesApache Iceberg and open table formats enable interoperability without data duplicationHoneycomb built custom format following similar patterns with hot/cold storage tiersBusiness data catalogs become critical for AI agents understanding dataset contextMCP servers allow AI systems to leverage structured cybersecurity datasets effectivelyDTEX used Cursor with their data to identify North Korean threat actorsReal-time AI data needs balanced with costs using right models for jobsCaching strategies and precise context reduce expensive LLM inference calls unnecessarilySearch remains essential for enterprise AI to prevent hallucination and access informationROI measurement focuses on cost reduction, analyst efficiency, and measurable business outcomesKey takeaway: invest in data structure early, context is king, AI is just softwareParticipants:Sebastien Paquet - Vice President of AI Strategy, CoveoRajan Koo - CTO, DTEX SystemsPatrick King - Head of Data, Honeycomb.ioKP Bhat - Sr Solutions Architecture Leader- Analytics & AI, Amazon Web ServicesFurther Links:Coveo: Website – LinkedIn – AWS MarketplaceDTEX Systems: Website – LinkedIn – AWS MarketplaceHoneycomb.io: 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/

Interview with Thomas Lamb, CEO of Myriad Uranium Corp.Our previous interview: https://www.cruxinvestor.com/posts/myriad-uranium-csem-60-boost-to-potential-100-mlbs-wyoming-project-7466Recording date: 4th September 2025Myriad Uranium (CSE:M) represents a compelling investment opportunity in the rapidly evolving uranium sector, where technological advancement and market dynamics have created significant value creation potential. The company's flagship Copper Mountain project in Wyoming has undergone a transformative resource upgrade through modern measurement techniques, with CEO Thomas Lamb reporting that advanced gamma probe technology and laboratory assaying have delivered 50-60% grade improvements over historical estimates established in the 1970s.The technological advantage stems from replacing outdated Delayed Fission Neutron probes with modern gamma probe technology, revealing substantially higher uranium concentrations than previously recognized. Laboratory assays have confirmed these improvements, with grades above 1,000 ppm showing 60% boosts and those above 500 ppm demonstrating 50% increases. This upgrade positions the project's resource estimate significantly above the historical 15-30 million pound baseline, with expansion potential to 65 million pounds through surrounding prospects and ultimate potential of 200 million pounds according to US Department of Energy assessments.Market dynamics have shifted decisively in Myriad's favor as operational challenges at high-profile ISR projects have created investor skepticism toward in-situ recovery methods. Fund managers are now explicitly seeking conventional mining projects, with Lamb noting that sentiment has transformed from questioning conventional approaches to actively pursuing them. This preference shift provides Myriad with a significant competitive advantage, as the Copper Mountain project's geology supports conventional mining in the northern section while maintaining ISR optionality in the southern portion.The company's strategic consolidation through its planned merger with Rush Rare Metals will eliminate joint venture complexity while adding complementary assets. Currently holding an option to earn 75% of Copper Mountain, the merger will provide 100% ownership while incorporating Rush's high-grade Boxy project in Quebec, which contains 11% uranium and up to 27% niobium grades. This transaction exemplifies the "1 plus 1 equals three" value creation potential in the current uranium market.Myriad's Red Basin project in New Mexico has emerged as an unexpected value creator following the state's emergence as a nuclear technology hub. Acquired for just $525,000 Canadian, the project now attracts significant attention from major technology companies including Microsoft and Amazon Web Services, which are pursuing uranium supply partnerships to support data center and AI computing infrastructure. The convergence of Los Alamos National Laboratory expertise, state-level funding initiatives, and private technology investment is creating a unique development ecosystem.With $2.5 million in cash, Myriad maintains sufficient capital for immediate strategic objectives through a capital-efficient validation strategy. The company plans to conduct approximately eight targeted infill holes in Copper Mountain's central pit area to establish grade upgrades definitively before expanding to peripheral prospects. This methodology provides maximum leverage from limited drilling while building investor confidence in broader resource potential.The company's positioning as a US-focused uranium producer with assets in Wyoming and New Mexico aligns with domestic supply chain security objectives, positioning for potential strategic partnerships or acquisition scenarios. Management's plan to migrate toward US exchange listings could unlock significant valuation multiples while providing enhanced liquidity for investors seeking exposure to the uranium sector recovery.View Myriad Uranium's company profile: https://www.cruxinvestor.com/companies/myriad-uraniumSign up for Crux Investor: https://cruxinvestor.com

Okta's CTO Bhawna Singh discusses AI adoption, innovation and the four critical identity patterns needed to build the trust that accelerates AI implementation.Topics Include:AI innovation races ahead while adoption lags due to trust and security concernsResearch shows 82% plan AI deployment but 61% of customers demand trust firstAI coding tools dramatically reduce development time, accelerating software delivery cyclesAI interaction evolved from ChatGPT conversations to autonomous headless agents working independentlyFuture envisions millions of agents making decisions and communicating without human oversightComplex data relationships emerge as agents access multiple dynamic sources simultaneouslyTrust fundamentally starts with identity - the foundation for all AI securityFour critical identity patterns needed: authentication, API security, user confirmation, and authorizationAuthentication ensures legitimate agents while token vaults enable secure agent-to-agent communicationAsynchronous user approval prevents rogue decisions like the recent database deletion incidentIndustry standards like MCP protocol establish minimum security guardrails for interoperabilityTrust accelerates AI adoption through security, accountability, and collaborative standard-building effortsParticipants:Bhawna Singh – CTO, Customer Identity, OktaSee 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, Wendy Liebmann talks to regular guest Justin Honaman, Global Head, Restaurants, Retail & Consumer Goods Business Development at Amazon Web Services, about what's now – and next – as technology transforms retail and consumer goods businesses.They discuss:Retail sales and the tension between inflation, tariffs and spendingManaging pricing as shoppers shop and buy across multiple channels, with agentic AI guiding their journeyBuild loyalty and deliver customer experience as shoppers buy across so many channelsThe normalization of chaos: who are the retail winners – and losersPlanning for the next disruption, and 2026Send us a textVisit our website for transcripts, links mentioned on this episodes, and video podcasts. Subscribe and rate us with your favorite podcast app!

Examine the evolving landscape of digital trust and identity security with Jacob DePriest, VP of Security and CISO at 1Password. Drawing from his diverse experience at the NSA, GitHub, and 1Password, DePriest shares best practices for managing shadow AI, implementing confidential computing, and addressing the emerging challenges of agentic AI. He emphasizes the critical balance between enabling innovation and maintaining robust security measures in an AI-driven world. From securing credentials with advanced authentication to navigating the complexities of AI governance, this episode examines how to build trust and security in an era where AI is reshaping digital identity management.

To begin the week, Procore and Amazon Web Services (AWS) announced a strategic collaboration agreement. In related news, IFS today announced the launch of its new Global Purple Circle Partner Program. Next, SAP announced a comprehensive new approach to digital sovereignty and AI innovation. Finally, Epicor announced key features and updates in its latest release of Epicor Propello.Connect with us!https://www.erpadvisorsgroup.com866-499-8550LinkedIn:https://www.linkedin.com/company/erp-advisors-groupTwitter:https://twitter.com/erpadvisorsgrpFacebook:https://www.facebook.com/erpadvisorsInstagram:https://www.instagram.com/erpadvisorsgroupPinterest:https://www.pinterest.com/erpadvisorsgroupMedium:https://medium.com/@erpadvisorsgroup

A panel discussion with AI industry leaders revealing how enterprises are scaling AI today, with predictions on coming breakthroughs for AI and the impact on Fortune 500 companies and beyond.Topics Include:Three technical leaders discuss production challenges: security, interoperability, and scaling agentic systemsPanelists represent Enkrypt (security), Anyscale (infrastructure), and CrewAI (agent orchestration platforms)Industry moving from flashy demos to dependable agents with real business outcomesBreakthrough examples include 70-page IRS form processing and multimodal workflow automationMultimodal data integration becoming crucial - incorporating video, audio, screenshots into decisionsLess than 10% of future applications expected to be text-onlyCompanies shifting from experimenting with individual models to deploying agent networksNeed for governance frameworks as enterprises scale to hundreds of agentsGrowing software stack complexity requires specialized infrastructure between applications and GPUsSecurity teams need centralized visibility across fragmented agent deployments across enterprisesExisting industry regulations apply to AI services - no special AI laws neededInteroperability standards debate: MCP gaining adoption while A2A seems premature solutionMCP shows higher API reliability than OpenAI tool calling for implementationsMultimodal systems more vulnerable to attacks but value proposition too high ignoreFortune 500 company automated price operations approval process using 630 brands data87% of enterprise customers deploy agents in private VPCs or on-premises infrastructureSpecialized AI systems needed to oversee other agents at machine speed scalesCost optimization through model specialization rather than always using most powerful modelsFuture learning may happen through context/prompting rather than traditional weight fine-tuningPredictions include AI meeting moderators and agents working autonomously for hoursParticipants:Robert Nishihara - Co-founder, AnyscaleJoão Moura - CEO, CrewAISahil Agarwal - Co-Founder & CEO, Enkrypt AIJillian D'Arcy - Sr. ISV Sales Leader, Amazon Web ServicesFurther Links:Anyscale – Website | LinkedIn | AWS MarketplaceCrewAI - Website | LinkedIn | AWS MarketplaceEnkrypt AI - 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/

Nvidia leads the global technology sector in artificial intelligence and data center solutions, while Microsoft advances cloud and AI integration through Azure, Microsoft 365, and partnerships with OpenAI. Apple maintains its position in consumer technology with its ecosystem and investments in spatial computing and privacy-focused AI. Alphabet leverages its dominance in digital advertising, search, and YouTube, and invests in artificial intelligence and autonomous technology. Amazon drives growth with its e-commerce platform and Amazon Web Services, offering cloud and AI solutions. Meta invests in social media, virtual reality, and AI development. Broadcom and TSMC provide critical semiconductor and infrastructure technologies for major industries. Tesla advances electric vehicles, energy storage, and clean energy infrastructure. Oracle delivers enterprise software and cloud solutions for organizations worldwide.Learn more on this news by visiting us at: https://greyjournal.net/news/ Hosted on Acast. See acast.com/privacy for more information.

A New Zealand owned cloud data storage firm is sceptical about the scale of investment in New Zealand claimed by the tech giant Amazon Web Services.

Billions of euros in planned data centre projects could be at risk following reports of a new government strategy looking to move future builds away from Dublin. Joining me now is Mike Beary, country leader for Amazon Web Services from 2017 to 2023, Now chair of the governing authority of University College Dublin. Mike, should we be concerned with this plan to move data centre projects away from Dublin?

There's hopes the promised 1,000 new jobs created from Amazon's locally based data centres will go to Kiwis. The tech giant's investing $7.5 billion into the Auckland-based centres, which go live today. It'll mean New Zealand customers can use the new cloud region to run workloads and store data locally. Amazon Web Services country manager Manuel Bohnet says they're taking a long-term view with this project. LISTEN ABOVESee omnystudio.com/listener for privacy information.

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/

Amazon Web Services has opened its new Auckland data centres today, claiming the move will add 1000 jobs. The so called "AWS region" has been launched this morning, attended by the Prime Minister. Amazon says as well as 1000 jobs, the investment will add $10.8 bn to New Zealand's GDP. RNZ political reporter Russell Palmer joins Kathryn from parliament.

Tony Cardella is a seasoned software engineer based in Houston, Texas. With a robust background in enterprise development, Tony brings deep expertise in the .NET Framework (C#), Python, and cloud platforms including Microsoft Azure and Amazon Web Services. His technical repertoire spans both relational databases — such as SQL Server, MySQL, and PostgreSQL — and NoSQL solutions like Azure Cosmos DB.   Tony is a strong advocate for developer productivity tools, frequently leveraging JetBrains products including ReSharper, DataGrip, PyCharm, and Rider, as well as Visual Studio. Outside the world of code, Tony is equally passionate about strength training, whether he's lifting weights himself or coaching others in the discipline.   Topics of Discussion: [1:34] Tony shares his career journey, starting with a consulting company that reached out to him while he was job hunting. [3:17] NCrunch is an automated testing tool that runs unit tests continuously, focusing on impacted tests. [5:08] Challenges and benefits of NCrunch, and why would we need to use it? [7:44] Tony shares his approach to unit testing, focusing on covering 80% of the code with minimal effort and addressing the remaining 20% as needed. [8:51] The importance of not over-investing in unit tests that may not provide significant value. [11:47] Tony explains how Ncrunch provides code coverage metrics and visual indicators of covered and uncovered code. [12:59] The tool's ability to show exactly where unit tests are failing, without needing to dive into stack traces. [13:51] Distributed processing and integration tests. [27:44] The challenges of running integration tests with external dependencies, such as databases. [29:18] Exploratory testing and code quality. [32:34] Tony emphasizes the value of unit tests in codifying tribal knowledge and ensuring code quality.   Mentioned in this Episode: Clear Measure Way Architect Forum Software Engineer Forum Tony Cardella Lightning Talks! The Code Gorilla Survey: Fixing Bugs Stealing Time from Development NCrunch   Want to Learn More? Visit AzureDevOps.Show for show notes and additional episodes.

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.

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/

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/

Join Olympic silver medalist Jenna Strauch as she shares powerful insights from her remarkable journey to Olympic success. Drawing parallels between elite sport and business leadership, Strauch reveals how data-driven decision-making, constructive feedback, and a focus on process over outcomes drives high performance. She discusses building resilient teams, managing setbacks, and fostering a culture where failure leads to growth. Her experience as part of the Australian Dolphins' leadership team demonstrates that true success comes from valuing people and mentoring the next generation of leaders. This episode is essential listening for leaders looking to empower high-performance teams through times of high-stress and transformation.

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/

Most companies think AI can never be empathetic. But Microsoft is proving that belief completely wrong while transforming customer experiences at an unprecedented scale.Join hosts Chuck Moxley and Nick Paladino as they talk with Zehra Syeda-Sarwat, Global Head CX Strategy and Insights at Microsoft. With experience from Amazon Web Services and now leading Microsoft's ambitious mission to become the world leader in customer experience, Zehra shares how they're using AI to reimagine not just customer journeys, but employee and partner experiences in ways never done before.Key Actionable Takeaways:Use the two-by-two framework for prioritization - Plot customer pain points on effort vs. impact matrices to identify low-effort, high-impact quick wins that build momentumMeasure intention before action - Track early signals like website learning, employee training, and event attendance to predict customer loyalty before it converts to revenueConnect employee and customer friction simultaneously - Focus employee experience improvements specifically on customer-facing roles to create dual outcomes that benefit both groupsWant more tips and strategies about digital transformation and customer experience? Subscribe to our newsletter! https://www.thefrictionlessexperience.com/frictionless/ Download the Black Friday/Cyber Monday eBook: http://bluetriangle.com/ebook-Zehra Syeda-Sarwat's LinkedIn: https://www.linkedin.com/in/zehra-syedasarwat-7127a211/Zehra Syeda-Sarwat's X: https://x.com/ZehraSyedaSNick Paladino's LinkedIn: https://linkedin.com/in/npaladinoChuck Moxley's LinkedIn: https://linkedin.com/in/chuck-moxleyChapters:(00:00) Introduction(03:00) Microsoft's ambition to lead global customer experience with AI(04:00) Culture change lessons(06:00) Four foundational elements for CX transformation success(09:00) The power of internal marketing and making transformation fun(13:00) Prioritization frameworks - customer feedback and two-by-two matrices(17:00) Assessing effort vs. impact for transformation initiatives(21:00) The three Cs - connection, conviction, and commitment(25:00) Balancing quick wins with long-term strategic initiatives(27:00) Internal friction solutions that improve both employee and customer experience(31:00) Metrics that signal transformation is actually working(35:00) Measuring customer intention as a leading indicator(38:00) Why AI empathy misconceptions are holding companies back(39:00) Conclusion

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/

Microsoft is facing backlash from managed service providers (MSPs) for not adequately protecting them against aggressive pricing strategies employed by larger licensing solution providers. These larger entities are reportedly undercutting smaller MSPs by as much as 20%, leading to significant margin erosion and increased competition. The Cloud Solution Provider Program, which was designed to create a more equitable environment for smaller providers, has not been effectively enforced by Microsoft, leaving many MSPs feeling abandoned. Analysts warn that this trend may result in consolidation among partners, as smaller providers struggle to compete in a landscape increasingly favoring larger firms.In the realm of cybersecurity, MSPs are grappling with severe alert fatigue, with a recent survey indicating that over 75% of providers experience this issue monthly. The report highlights that larger firms are particularly affected, with nearly half of those employing over 500 staff facing daily fatigue due to excessive tools and poor integration, which leads to a high volume of false positives. Alarmingly, one in four alerts is a false positive, and many providers are hesitant to consolidate their security tools due to concerns about migration complexity and potential feature loss. Despite the clear advantages of integrating platforms and enhancing automation, only 31% of MSPs have adopted AI or security orchestration tools to alleviate their burdens.In product news, several companies have made significant announcements. SuperOps has launched an AI marketplace for MSPs in collaboration with Amazon Web Services, aiming to streamline the adoption of AI agents for various tasks. Kaseya introduced customer responsibility matrices to help MSPs comply with Department of Defense cybersecurity requirements, while ConnectWise expanded its remote monitoring and management platform to include third-party patching for over 7,000 applications. Synchro reported impressive operational efficiency improvements for a client, and Ignite unveiled a no-code framework for creating customized AI agents.Lastly, the podcast discusses the ongoing challenges faced by Intel and the vulnerabilities in Enable's remote monitoring and management solution. Intel is receiving substantial investments from SoftBank and potential support from the U.S. government, indicating a lack of market confidence in the company's performance. Meanwhile, Enable is dealing with two critical vulnerabilities that are being actively exploited, with nearly 900 servers still unpatched. The urgency for MSPs to apply updates and validate their security measures is emphasized, as these vulnerabilities pose significant risks to their operations. Four things to know today 00:00 Microsoft Faces Backlash as MSPs Accuse CSP Program of Favoring Larger Licensing Providers04:53 From SuperOps to Egnyte, Vendors Announce AI and Security Features—Syncro Stands Out With Measurable Results07:50 Chip Market Split: Intel Relies on Bailouts, Foxconn Rides Explosive AI Demand10:24 Shadowserver: Nearly 900 N-able N-central Servers Remain Unpatched Against Critical Vulnerabilities This is the Business of Tech.    Supported by: https://www.moovila.com/ https://scalepad.com/dave/ All our Sponsors: https://businessof.tech/sponsors/ Do you want the show on your podcast app or the written versions of the stories? Subscribe to the Business of Tech: https://www.businessof.tech/subscribe/Looking for a link from the stories? The entire script of the show, with links to articles, are posted in each story on https://www.businessof.tech/ Support the show on Patreon: https://patreon.com/mspradio/ Want to be a guest on Business of Tech: Daily 10-Minute IT Services Insights? Send Dave Sobel a message on PodMatch, here: https://www.podmatch.com/hostdetailpreview/businessoftech Want our stuff? Cool Merch? Wear “Why Do We Care?” - Visit https://mspradio.myspreadshop.com Follow us on:LinkedIn: https://www.linkedin.com/company/28908079/YouTube: https://youtube.com/mspradio/Facebook: https://www.facebook.com/mspradionews/Instagram: https://www.instagram.com/mspradio/TikTok: https://www.tiktok.com/@businessoftechBluesky: https://bsky.app/profile/businessof.tech

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/

On this Live Greatly podcast episode, Kristel Bauer sits down with Corinne Low PhD, Wharton economist, mother, and author of Having It All: What Data Tells Us About Women's Lives and Getting the Most Out of Yours.  Kristel and Corinne discuss some key contributors feeding into frustrations and overwhelm in navigating work/life as well as insights into ambition, goals, fulfillment and work-life balance. Tune in now!  Key Takeaways From This Episode: Some common frustrations working mothers are facing Reframing what work is really about Tips to redesign work and life to support more fulfillment  Insights into ambition Research into what women are looking for in the workplace How women are looking for predictability and structure in the workplace ABOUT CORINNE LOW  PH.D Corinne Low is an Associate Professor of Business Economics and Public Policy at the Wharton School of the University of Pennsylvania. Her research focuses on the economics of gender and discrimination and has been published in top journals such as the American Economic Review, Quarterly Journal of Economics, and Journal of Political Economy. She was named one of Poets and Quants 40 MBA Professors under 40 in 2024. Her first book, Having It All, is forthcoming with Flatiron in September 2025. Corinne and her work have also been featured by major popular media outlets, including Forbes, Vanity Fair, The LA Times, and NPR. Corinne is the co-creator of the Incentivized Resume Rating method for measuring hiring discrimination, and regularly speaks to and works with firms looking to improve their hiring and retention practices. She has spoken to and advised firms like Google, IFM Investors, Uber, Activision Blizzard, and Amazon Web Services, in addition to teaching in Wharton's Executive Education programs. She has given talks to top academic institutions like Harvard University, Stanford University, and Oxford, as well as to organizations like the New York Federal Reserve, Brookings, and the US Department of Labor.   She received her Ph.D. in Economics from Columbia University, her B.S. in Economics and Public Policy from Duke University, and formerly worked for McKinsey and Company. Outside of work, she is the co-founder and volunteer executive director for Open Hearts Initiative, a New York City based non-profit that aims to combat the homelessness crisis through pro-housing neighborhood organizing. Connect with Corinne Order Having It All: What Data Tells Us About Women's Lives and Getting the Most Out of Yours  Website: https://www.corinnelow.com/  Instagram: https://www.instagram.com/corinnelowphd/  Linkedin: https://www.linkedin.com/in/corinne-low-64a0741b4/  About the Host of the Live Greatly podcast, Kristel Bauer: Kristel Bauer is a corporate wellness and performance expert, keynote speaker and TEDx speaker supporting organizations and individuals on their journeys for more happiness and success. She is the author of Work-Life Tango: Finding Happiness, Harmony, and Peak Performance Wherever You Work (John Murray Business November 19, 2024). With Kristel's healthcare background, she provides data driven actionable strategies to leverage happiness and high-power habits to drive growth mindsets, peak performance, profitability, well-being and a culture of excellence. Kristel's keynotes provide insights to “Live Greatly” while promoting leadership development and team building.   Kristel is the creator and host of her global top self-improvement podcast, Live Greatly. She is a contributing writer for Entrepreneur, and she is an influencer in the business and wellness space having been recognized as a Top 10 Social Media Influencer of 2021 in Forbes. As an Integrative Medicine Fellow & Physician Assistant having practiced clinically in Integrative Psychiatry, Kristel has a unique perspective into attaining a mindset for more happiness and success. Kristel has presented to groups from the American Gas Association, Bank of America, bp, Commercial Metals Company, General Mills, Northwestern University, Santander Bank and many more. Kristel has been featured in Forbes, Forest & Bluff Magazine, Authority Magazine & Podcast Magazine and she has appeared on ABC 7 Chicago, WGN Daytime Chicago, Fox 4's WDAF-TV's Great Day KC, and Ticker News. Kristel lives in the Fort Lauderdale, Florida area and she can be booked for speaking engagements worldwide. To Book Kristel as a speaker for your next event, click here. Website: www.livegreatly.co  Follow Kristel Bauer on: Instagram: @livegreatly_co  LinkedIn: Kristel Bauer Twitter: @livegreatly_co Facebook: @livegreatly.co Youtube: Live Greatly, Kristel Bauer To Watch Kristel Bauer's TEDx talk of Redefining Work/Life Balance in a COVID-19 World click here. Click HERE to check out Kristel's corporate wellness and leadership blog Click HERE to check out Kristel's Travel and Wellness Blog Disclaimer: The contents of this podcast are intended for informational and educational purposes only. Always seek the guidance of your physician for any recommendations specific to you or for any questions regarding your specific health, your sleep patterns changes to diet and exercise, or any medical conditions.  Always consult your physician before starting any supplements or new lifestyle programs. All information, views and statements shared on the Live Greatly podcast are purely the opinions of the authors, and are not medical advice or treatment recommendations.  They have not been evaluated by the food and drug administration.  Opinions of guests are their own and Kristel Bauer & this podcast does not endorse or accept responsibility for statements made by guests.  Neither Kristel Bauer nor this podcast takes responsibility for possible health consequences of a person or persons following the information in this educational content.  Always consult your physician for recommendations specific to you.

Subscribe to the video podcast: https://www.youtube.com/@DrTazMD/podcastsWhat if the dream of “having it all” is quietly destroying women's health?In this brutally honest episode of hol+, Dr. Taz MD sits down with economist and Wharton professor Dr. Corinne Low to reveal the invisible forces behind the burnout epidemic affecting ambitious, high-achieving women. From breastfeeding in Amtrak bathrooms to chasing tenure while shouldering 100% of the household load, Dr. Low shares her personal crash—and the data that proves she's not alone.While society celebrates the superwoman myth, the reality is far more dangerous: women are breaking down emotionally, physically, and hormonally under impossible expectations. Dr. Low dismantles the cultural fantasy of balance and exposes the economic and biological math that simply doesn't add up.This episode is for every woman who's ever felt exhausted, stuck, and silently wondered, “Is this it?”Dr. Low unpacks:• Why modern motherhood and careerism don't mix• The data behind stress, anxiety, and chronic fatigue in women• Why comparing yourself to men—or Instagram moms—keeps you trapped• The myth of the 50/50 marriage (and what to do instead)• The concept of “utility” and how it can reclaim your time• How egg freezing gives women economic power and freedomWhether you're navigating career, family, fertility, or all of the above, this conversation will shift how you see success, partnership, and your own worth.Topics Covered:• The Superwoman Lie and Burnout Crisis• Why Gender Equality at Home Is Still a Myth• The Economics of Time, Labor, and Emotional Load• Using Utility Theory to Redesign Your Life• Red Flags in Relationships Most Women Miss• The Case for Egg Freezing and Delaying Marriage• Redefining Success on Your Own TermsAbout Corinne LowCorinne Low is an Associate Professor of Business Economics and Public Policy at the Wharton School of the University of Pennsylvania. Her research focuses on the economics of gender and discrimination and has been published in top journals such as the American Economic Review and Journal of Political Economy. Corinne and her work have also been featured by popular media outlets, including Forbes, Vanity Fair, The LA Times, and NPR. She has spoken to and advised firms like Google, IFM Investors, Uber, and Amazon Web Services, in addition to teaching in Wharton's Executive Education programs. She has given talks to top academic institutions like Harvard, Stanford, and Oxford, as well as to organizations like the New York Federal Reserve, Brookings, and the US Department of Labor. She received her Ph.D. in Economics from Columbia University, her B.S. in Economics and Public Policy from Duke University. Her first book, Having It All, is forthcoming with Flatiron this September. Thank you to our sponsor:Timeline is offering my listeners 20% off your first order of Mitopure. Just go to timeline.com/DRTAZConnect further to Hol+ at https://holplus.co/- Don't forget to like, subscribe, and hit the notification bell to stay updated on future episodes of hol+.Stay ConnectedSubscribe to the audio podcast: https://holplus.transistor.fm/subscribeSubscribe to the video podcast: https://www.youtube.com/@DrTazMD/podcastsFollow Dr. Taz on Instagram: https://www.instagram.com/drtazmd/https://www.instagram.com/liveholplus/Join the conversation on X: https://x.com/@drtazmdTikTok: https://www.tiktok.com/@drtazmdFacebook: https://www.facebook.com/drtazmd/Follow Dr. Corinne Low on Instagram:https://www.instagram.com/corinnelowphd/Host & Production TeamHost: Dr. Taz; Produced by Rainbow Creative (Executive Producer: Matthew Jones; Lead Producer: Lauren Feighan; Editors: Jeremiah Schultz and Patrick Edwards)Don't forget to like, subscribe, and hit the notification bell to stay updated on future episodes of hol+00:00 – The Burnout Nobody Talks About05:26 – The Superwoman Illusion09:50 – The Hidden Gender Time Gap14:09 – Your Job Isn't Your Purpose18:38 – When Feminism Meets Reality23:15 – The Comparison Trap28:02 – Utility Theory for Women32:34 – Rethinking Relationships and Roles38:29 – Cultural Myths About Motherhood44.21 – The Cost of Doing It All

Join AWS Enterprise Strategists Arvind Mathur and Matthias Patzak as they explore how technology leaders can effectively engage with their CEOs about agentic AI. Drawing from a LinkedIn blog Matthias recently published, this episode reveals five essential steps for success: focusing on business impact over technology, building cross-functional transformation teams, picking the right use case, running parallel pilots at scale, and measuring real business outcomes. Learn why CTOs must proactively experiment with emerging technologies like agentic AI before C-suite conversations arise. Whether you're a technology leader looking to drive 10X value from your AI implementations or a business executive exploring AI's transformative potential, this discussion offers valuable insights for navigating the agentic AI revolution.Watch on AWS Executive Insights

In this episode of The Girl Dad Show, host Young Han sits down with Adi Prakash, Founder & CEO of Sentient Ventures and former Amazon executive. Adi shares his journey from leading strategy at Amazon Web Services to launching his own AI-native firm, designed to help companies scale smarter, faster, and more sustainably. The conversation dives deep into the realities of transitioning from corporate life to entrepreneurship, the role of family support during big career shifts, and the lessons Adi has learned as a parent. From modeling behavior for children to embracing work-life integration over the elusive “balance,” Adi offers actionable insights for both business leaders and parents. ✨ All episodes of The Girl Dad Show are proudly sponsored by Thesis, which helps founders go further together. Takeaways: Chase presence, not perfection in parenting Children reflect their parents' behaviors and attitudes Work-life balance is a myth; integration is key Compartmentalizing time can boost focus Family support is essential during transitions Entrepreneurship requires perseverance and planning Success is about not quitting, even in uncertainty

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/

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