American software company owned by IBM providing open-source software products to enterprises
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Sales Game Changers | Tip-Filled Conversations with Sales Leaders About Their Successful Careers
This is episode 867. Read the complete transcription on the Sales Game Changers Podcast website. Watch the video of this podcast on YouTube here. The Sales Game Changers Podcast was recognized by YesWare as the top sales podcast. Read the announcement here. FeedSpot named the Sales Game Changers Podcast at a top 20 Sales Podcast and top 8 Sales Leadership Podcast! Subscribe to the Sales Game Changers Podcast now on Apple Podcasts! Purchase Fred Diamond's best-sellers Love, Hope, Lyme: What Family Members, Partners, and Friends Who Love a Chronic Lyme Survivor Need to Know and Insights for Sales Game Changers now! The Institute for Effective Professional Selling has launched the Partner Revenue Academy for partner account managers who are looking to become more effective active sellers. The next 6-session cohort launches on September 11. Learn more here. Today's show featured an interview with Joel Jackson, Senior Vice President of Worldwide Technology Sales and Client Adoption at Red Hat. Find Joel on LinkedIn. JOEL'S TIP: "It's not the most technical rep that survives ever. It's also not the most intelligent one that survives. It's the one that is adaptable to change. I think adaptability starts with being curious."
Eine sehr politische Folge – und eine, in der ich mich für Max Monolog-Lastigkeit der letzten Wochen revanchiere.Zum Berliner Landesnetz: Die Systeme sind wieder online, Bürgerservices erreichbar. Digitalstaatssekretär Florian Hauer sagt, es gebe aktuell keinen Hinweis auf eine Infiltrierung, aber nur als Momentaufnahme. Abgeflossen seien nur ohnehin öffentlich verfügbare Daten. Wir diskutieren, ob diese Art halbgarer Kommunikation hilft – und ob man es in so einer Lage überhaupt richtig machen kann.Das Hauptthema: Am 12. August hat Trump ein National Security Presidential Memorandum unterzeichnet, das geprüften US-Unternehmen offensive Cyberoperationen gegen ausländische cyberkriminelle Organisationen erlaubt – unter staatlicher Kontrolle, mit Verträgen bei DOJ oder DHS und schriftlicher Freigabe pro Operation. Ich bin überrascht, wie durchdacht das Papier formuliert ist, gerade bei den Definitionen. Nur ist damit noch nicht mal die halbe Miete gemacht: Die eigentlichen Verfahren, also Mindeststandards, Targeting, Deconfliction und Rules of Engagement, müssen erst in den nächsten 60 Tagen definiert werden, und bis dahin darf keine einzige Operation genehmigt werden. Offen bleiben bis dahin Attribution, Third-Party-Infrastruktur, Haftung bei Kollateralschäden und ein dünnes Oversight-Modell ohne Berichtspflicht an den Kongress. Meine Vermutung zu den Teilnehmern: Die Großen übernehmen risikoarme Botnet- und Scam-Compound-Takedowns, für alles Heiklere entstehen Startups.Max bringt eine Keycloak-Schwachstelle: CVE-2026-18963, CVSS 9.1, unauthentifizierte Account-Übernahme über einen schwachen Password-Reset-Mechanismus. Alle Versionen bis 26.7.2 betroffen.Zum Abschluss zwei Meldungen mit möglichem Staatsbezug: Ein kleiner britischer Stromerzeuger war im Juli vier Tage offline, Medienberichte deuten auf iranische Akteure, offiziell attribuiert ist nichts. Und Taiwan: Die israelische Firma Dream hat ein 160-MB-Archiv analysiert, das eine viertägige Kampagne mit bis zu acht parallelen Subagenten auf Basis von OpenClaw und Hermes dokumentiert. 21 Regierungssysteme kartiert, 85 Accounts geknackt, betroffen auch die Nuklearsicherheitsbehörde. Der Initial Access war banal: drei vergessene Debug-API-Endpunkte. Faszinierend ist die Orchestrierung – Findings wurden mit Wahrscheinlichkeiten bewertet, bei Sackgassen recherchierten die Agenten selbstständig neue Techniken.NSPM "Expanding Capabilities to Combat Transnational Cyber-Enabled Crime" (Weißes Haus) https://www.whitehouse.gov/presidential-actions/2026/08/expanding-capabilities-to-combat-transnational-cyber-enabled-crime/Juristische Einordnung des Memorandums (Mayer Brown) https://www.mayerbrown.com/en/insights/publications/2026/08/presidential-memorandum-authorizes-vetted-private-companies-to-conduct-offensive-cyber-operations-against-foreign-criminal-organizationsOffene Fragen zu Haftung und Oversight (Crowell & Moring) https://www.crowell.com/en/insights/client-alerts/license-to-hack-the-white-house-greenlights-private-sector-offensive-cyber-operationsKeycloak CVE-2026-18963 (Red Hat) https://access.redhat.com/security/cve/CVE-2026-18963Dream: "Inside a Multi-Agent AI Framework Used to Compromise Government Entities in Asia" https://www.dream.security/blog/inside-a-multi-agent-ai-framework-used-to-compromise-government-entities-in-asiaTaiwan Ministry of Digital Affairs: Monatsbericht Cybersicherheit https://moda.gov.tw/en/press/monthly-report/Einordnung des Taiwan-Angriffs (The Register) https://www.theregister.com/security/2026/08/12/near-autonomous-ai-agents-attack-taiwans-nuclear-safety-agency/Berliner Landesnetz: Update der Senatskanzlei https://www.berlin.de/rbmskzl/aktuelles/pressemitteilungen/2026/pressemitteilung.1703898.phpOpenAI: "Pacing model development in an era of cyber-critical capabilities"https://openai.com/index/pacing-model-development-cyber-capabilities/
What does it take to build a reputation that lasts?In a world where AI can generate endless content and everyone is competing for attention, it's easy to assume that being more visible is the answer. But as this week's guest explains, visibility without credibility rarely lasts.This week Sophie is joined by Evan Boyer, founder and CEO of Leaders PR. After nearly 15 years advising global brands including JPMorgan Chase, EY, LG, Lowe's, Panasonic, Red Hat and Volvo Trucks, Evan has built a career helping businesses earn trust, not just attention.Together they explore why expertise and credibility are built separately, why earned media has never been more valuable and what founders often misunderstand about building a reputation that stands the test of time.In this episode, we cover:Why expertise alone doesn't automatically create credibilityThe difference between earning attention and buying visibilityWhy AI is making trusted voices even more valuableWhat successful PR looks like behind the scenesHow relationships, consistency and patience shape long term reputationConnect with EvanLinkedIn: https://www.linkedin.com/in/evanboyer/Leaders PR LinkedIn: https://www.linkedin.com/company/leaderspr/Leaders PR Facebook: https://www.facebook.com/people/Leaders-PR/Leaders PR Instagram: @leaders_prWebsite: www.leaderspr.comConnect with SophieLinkedIn: linkedin.com/in/sophie-millikenInstagram: @moja_sophieWant to be a guest on Beyond the Bio?Do you have interesting ideas to share about how to raise your profile? We want to hear from you! Fill out the submission form here: https://www.sophiemilliken.co.uk/btbThis podcast is brought to you by Moja. Moja is an award-winning modern PR agency working with entrepreneurs and senior executives to get you known in your industry. See how your profile is currently performing: https://mym-btb.scoreapp.com/
AI in Healthcare: A Practical Discussion for Executives On this episode of The Dish on Health IT, Brian Dwyer, Business Strategist at Point-of-Care Partners, is joined by Sam Schifman, Principal Engineer for AI at Red Hat and Consultant at Point-of-Care Partners, and Kendra Obrist, Senior Consultant and Payer Interoperability Subject Matter Expert at Point-of-Care Partners, for a practical discussion about how healthcare leaders can evaluate AI opportunities without needing to become technical experts. Together, they explore where AI is delivering measurable value today, why many initiatives struggle to achieve expected outcomes, how to evaluate vendors and risk, what emerging policy and governance trends mean for healthcare organizations, and why strong data quality and interoperability remain essential to AI success.
AI isn't just changing individual jobs, it's changing the shape of the org chart itself. In this episode, Neal Woolrich, Director in Gartner's Human Resources Advisory practice, joins Shahin to unpack whether the traditional "pyramid" structure is giving way to a "diamond" with fewer entry-level roles, and what that means for the next generation of managers. Neal cuts through the noise around AI-driven layoffs (much of it, he argues, is "AI washing") and shares Gartner's projection that AI becomes a net job creator by 2030. He also walks through real governance models from Lloyd's Bank, ServiceNow and Red Hat, and tackles the thorny question of what happens when AI agents start appearing on the org chart alongside humans. Guest Introduction Neal Woolrich is a Director in Gartner's Human Resources Advisory practice, based in Melbourne, where he advises organisations on culture, employee experience and organisational design. He spent 13 years as a broadcast journalist with the Australian Broadcasting Corporation (ABC) before moving into HR consulting. Key Topics Why the traditional "pyramid" org structure (many entry-level roles, fewer managers, fewer executives) is being challenged by a "diamond" shape with a shrinking entry pointThe shift from specialist workers to AI-complemented generalists, and what it means for how organisations build skills over timeWhy Neal believes many AI-attributed layoffs are actually "AI washing," with financial or market pressures the real driverGartner's projection that AI becomes a net job creator by 2030, and what the next four years of labour market disruption might look likeNew roles emerging directly from AI adoption, including AI governance and AI ethics functionsThree real-world governance models: Lloyd's Bank's "control tower" approach, ServiceNow's AI council with supporting pods, and Red Hat's three-tier framework based on degree of AI impactThe emerging practice of placing AI agents on the org chart, and the open questions around ownership and accountability when things go wrongDifferences in AI adoption pace between the US, UK and Australia, and why Neal doesn't think Australia's "behind" position is cause for panicHow organisations can communicate AI rollouts to reduce the roughly 40% of the workforce that reacts negatively to major change Resources & Links People Mentioned Rick Beato – YouTube music educator and producer Neal cited as someone whose commentary on the shift from big studios to home recording has shaped his thinking about the AI "bubble" debate Companies & Tools Gartner – Research and advisory firm where Neal works; source of the org-structure and net-job-creator research discussed throughoutRamp – Fintech company referenced for its hiring trends report, which found companies adopting AI kept similar junior hiring rates to before AILloyd's Bank – UK bank cited for its "control tower" approach to AI governanceServiceNow – HR technology company cited for its two-tier AI council and pod governance modelRed Hat – Open-source company cited for its three-tier framework grouping roles by degree of AI impactIBM – Red Hat's parent company, referenced regarding a recent stock drop tied to AI strategy commentaryModerna – Referenced for merging its IT and HR functions in recognition that AI is a human experience as much as a technology one Contact & Credits Host: Shahin Hoda Guest: Neal Woolrich Produced by: Shahin Hoda and Alexander Hipwell Edited by: Alexander Hipwell & Dave Somido Music by: Breakmaster Cylinder Podcast Co-ordinator: Jonah Igsie APAC's B2B Growth Podcast is presented by xGrowth
314 - Rock Bottom, Recovery, and the Red Hat: Larry Roberts on Losing Everything and Choosing Courage He had 12 years of sobriety, a thriving podcast production company, a recognizable personal brand, and a speaking career that put him on stages across the country. And then, quietly and completely, he lost all of it. In this episode of Comfort to Courage, Larry Roberts, founder of Red Hat Media and one of the most recognized voices in the podcasting world, pulls back the curtain on his very public and brutally honest battle with alcoholism, including multiple rehab stints, a DUI, a dissolved business partnership, near-death, and the moment a phone call he almost didn't answer saved his life. Larry doesn't sugarcoat a single chapter of this story. He walks through how 12 years of sobriety left him dangerously overconfident, how his drinking exploded from a couple of shots before a speaking engagement to a seven-week stretch where he ate just five cups of noodles, and how he ended up in a San Diego recovery facility on day 51 with no income, a dissolved business, and a marriage hanging by a thread. What makes Larry uniquely worth listening to is not just how far he fell, but what he's choosing to do next. He talks candidly about rebuilding Red Hat Media, an upcoming AI-powered podcast production tool he's developing, and the mindset shifts that are making this recovery attempt different from the ones that came before. This episode is for anyone who has ever hit a wall and wondered if there's a way back. It's for entrepreneurs who have watched a business they built from scratch fall apart. It's for anyone who has been touched by addiction, in their own life or someone else's, and needed proof that asking for help is not weakness. It is the bravest thing you can do. If you're standing at the base of a steep hill and you're not sure you have what it takes to climb it, Larry Roberts just spent the better part of an hour showing you it's possible. 5 Powerful Takeaways Isolation makes recovery impossible: Larry explains why going dark and cutting off his entire network was the single most destructive decision he made, and how one vulnerable phone call set everything in motion toward healing. Twelve years of sobriety can become a trap: Larry reveals how his previous success staying sober created a dangerous arrogance that left him completely unprepared when alcohol came back into his life. Brand damage is survivable: After going silent on social media for nearly 10 months and burning real professional bridges, Larry lays out the exact mindset he's using to rebuild Red Hat Media from scratch. The "God smack" moment is real: Larry shares the story of a phone call from a recovery facility that came in the exact window when he had stopped answering his phone and had quietly accepted he might not survive the week. Affirmations aren't soft, they're strategic: Inspired by David Goggins, Larry explains why writing and repeating daily affirmations is one of the highest-leverage tools available to anyone trying to rewire their mindset from a place of rock bottom. About the Guest Larry Roberts is the founder of Red Hat Media, a podcast production, branding, and AI solutions company he built into a nationally recognized platform. Known across the industry as the Red Hat Guy, Larry has spoken on major stages including PodFest, consulted with brands on positioning and content strategy, and amassed a loyal following under the handle @TheLarryRoberts across social media. He authored the book Under the Red Hat, exploring how personal identity shapes brand power. He is currently in recovery in San Diego and is developing an AI-powered podcast production tool with a projected launch at PodFest, aiming to remove up to 90 percent of manual production from the podcasting workflow. 00:00 Courage Is Contagious 01:17 Badassery Bestowment 02:12 Five Courage Reps 04:48 Meet Larry Roberts 06:22 Red Hat Media Origin 09:50 Branding And AI Expansion 11:29 Red Hat Pushback 13:31 Relapse And Rock Bottom 19:08 Rehab Spiral And DUI 25:14 Rebuilding The Red Hat 27:34 Jen Reacts And Support 29:02 Why This Time Sticks 31:10 Hitting Rock Bottom 32:56 Sober Living Reality Check 34:12 First Steps to Sobriety 35:30 Finding Rehab Options 38:20 Mindset and Affirmations 40:15 Badass Rapid Fire 43:16 AI Podcast Production Dream 46:16 Strength and Success Redefined 48:34 Where to Find Larry 49:33 Final Send Off Resources & Websites Mentioned Larry Roberts website: https://www.larryroberts.com Larry Roberts on social media (Instagram, Facebook, LinkedIn): @TheLarryRoberts Book by Larry Roberts: Under the Red Hat Book recommended by Larry: Extreme Ownership by Jocko Willink Connect With Jen Josey To learn more about Jen Josey, visit https://www.therealjenjosey.com/ If you enjoy Jen's Witty Shirts, shop the whole collection at https://www.shopwittygoods.com/ New episodes drop every Monday Morning at 6am EST. See you next time.
El fiasco del examen de admisión en línea de la UNAM expone los severos límites de la inteligencia artificial cuando se confía ciegamente en el software sin considerar la arquitectura física y operativa del proceso. Un análisis indispensable sobre la falsa sensación de seguridad tecnológica en proyectos de alto impacto. En este episodio también encontrará:El acceso no autorizado a sistemas reales por parte de los modelos Claude de Anthropic, El regreso del crecimiento acelerado en la nube impulsado por la AI según Microsoft y AWS, Las luces y sombras en las velocidades de conexión 5G durante el Mundial. Secciones:Historia Innovadora: Fiscalía General del Estado de Guanajuato. Así lo dijo: Gilson Magalhães, vicepresidente y gerente general para América Latina de Red Hat. Breves de la semana sobre alianzas tecnológicas (Winamp-Deezer, la Open Secure AI Alliance de Nvidia e Intel-Fortinet). Prompt que me cambió la vida: Ana Lira (Samsung México). IT Masters Insight: José Luis Benítez, CISO Latam de PPG Industries. #ProctoringAI #GobiernoIT #CloudGrowth #Ciberseguridad #ITLeaders #UNAMLe invitamos a seguir IT Masters Update, dejarnos sus comentarios aquí o a través de #ITMastersUpdate en las redes sociales y a visitar nuestro sitio oficial en IT Masters Mag.
SUMMARY: Brian Gracely (@bgracely), Aaron Delp (@aarondelp) and Brandon Whichard (@bwhicard) discuss the biggest AI news stories from the month of July 2026. SHOW: 1050SHOW TRANSCRIPT: The Enterprise AI Show #1050 TranscriptSHOW VIDEO: https://youtu.be/9u-uAaQVjXkSHOW SPONSORS:Nasuni - Activate your data for AI and request a demoSHOW NOTES:Links to all the AI News covered in this month's showFEEDBACK?Email: show @ the enterprise ai show dot comeBluesky: @TheEntAIShow.bsky.socialTwitter/X: @TheEntAIShowInstagram: @TheEntAIShow
IBM is betting that hybrid cloud, Red Hat, and generative A.I. can drive its next phase of growth, but investors are still waiting for stronger results. In this Tech Corner, George Tsilis breaks down IBM's latest earnings, its growing A.I. book of business, and why enterprise spending is shifting toward infrastructure and away from some consulting projects. George also examines IBM's software growth, cash flow and dividend appeal, along with the risks posed by slowing revenue, consulting automation, and weak technical momentum following the stock's historic sell-off.======== 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
Artificial intelligence is rapidly becoming part of nearly every conversation in healthcare, but many executives are still asking the same question: What do I actually need to understand to make good business decisions? On this episode of The Dish on Health IT, Brian Dwyer, Business Strategist at Point-of-Care Partners, is joined by Sam Schifman, Principal Engineer for AI at Red Hat and Consultant at Point-of-Care Partners, and Kendra Obrist, Senior Consultant and Payer Interoperability Subject Matter Expert at Point-of-Care Partners, for a practical discussion about how healthcare leaders can evaluate AI opportunities without needing to become technical experts. Together, they explore where AI is delivering measurable value today, why many initiatives struggle to achieve expected outcomes, how to evaluate vendors and risk, what emerging policy and governance trends mean for healthcare organizations, and why strong data quality and interoperability remain essential to AI success. The conversation begins by unpacking what people actually mean when they say they're "using AI." Sam explains the differences between predictive AI, generative AI, conversational AI, and the rapidly emerging world of agentic AI, while Kendra encourages listeners not to get caught up in the terminology. Instead, she emphasizes starting with the business problem that needs to be solved and then determining whether AI is the right tool for the job. Brian then asks where AI is creating meaningful value today. Kendra highlights opportunities across administrative workflows, including documentation, member and provider engagement, claims, prior authorization, and other operational processes where reducing friction can improve efficiency and the user experience. Sam builds on that discussion by encouraging organizations to evaluate AI initiatives based on business outcomes and measurable success metrics rather than technical benchmarks, while recognizing that every AI implementation introduces its own set of risks and tradeoffs. The discussion shifts to why technically impressive AI projects often fail to produce meaningful business results. Kendra explains that organizations can become captivated by polished demonstrations without fully considering governance, data quality, workflow redesign, adoption, and organizational change management. Sam reinforces the importance of understanding AI's inherent uncertainty, establishing appropriate human oversight, and preparing employees for new ways of working as AI becomes integrated into everyday operations. Brian next explores how much AI healthcare executives actually need to understand. Rather than suggesting leaders become AI specialists, Sam encourages executives to develop enough knowledge to ask informed questions and avoid treating AI as an incomprehensible "black box." Kendra complements that advice by encouraging leaders to personally experiment with AI tools so they can better understand both their strengths and limitations before making strategic decisions. As organizations increasingly evaluate AI-enabled products, the panel discusses the questions healthcare leaders should ask prospective vendors. Beyond understanding how an AI solution works, they explore governance, transparency, auditability, accountability, data requirements, quality assurance, and vendor responsibility when AI produces unexpected results. Sam also introduces the concept of AI sovereignty, encouraging organizations to think carefully about long-term dependence on foundational AI models and the flexibility they'll need as technology and regulations continue to evolve. The conversation also examines the rapidly changing policy landscape surrounding AI. Kendra explains how federal agencies are currently taking a sector-specific approach to oversight while states continue introducing their own transparency, bias, and human review requirements. Together, they discuss the operational challenges this evolving patchwork of regulations creates for healthcare organizations operating across multiple states and why adaptability will become increasingly important. Looking ahead, Brian asks what developments deserve executives' attention and which trends may be receiving more attention than they warrant. Sam discusses why organizations should avoid assuming generative AI is always the right answer, highlighting continued opportunities for predictive AI, machine learning, and even traditional software approaches when they better fit the problem. Kendra shares why agentic AI and coordinated teams of AI agents may fundamentally reshape how work is performed across healthcare organizations. The episode concludes with each guest sharing one final takeaway for healthcare leaders. Sam encourages organizations to begin thinking strategically about AI sovereignty, security, and organizational flexibility as AI becomes increasingly embedded in core business operations. Kendra leaves listeners with a broader perspective, comparing AI's impact on knowledge work to the Industrial Revolution's impact on physical labor, and encourages leaders to embrace the technology thoughtfully rather than waiting until they feel they have all the answers. This episode offers practical guidance for healthcare executives who want to make informed AI decisions, ask better questions of vendors and internal teams, and develop an AI strategy grounded in business value rather than technology for technology's sake. Would you be interested in joining a future AI 101 webinar designed for healthcare executives? Sign up to be invited and tell us what you want to learn. We may not be able to pack everything into one webinar but we can do our best to make it as informative as possible.
EPEL is one of those repos a lot of us turned on without thinking twice. This episode, Noah and Eric sit down with Carl George, who leads the EPEL team at Red Hat, to explain what EPEL actually is, the golden rule that gives it its reputation, and the changes Carl is proposing for EPEL 11. If you run enterprise Linux, or you have ever typed dnf install epel-release, this one is for you. Carl is collecting feedback on the EPEL 11 idea right now, so give it a listen and jump into the thread. Chapters 00:00 Intro 01:12 Meet Carl George 04:25 What is EPEL? 07:50 EPEL's golden rule 09:32 Getting started: CRB + epel-release 10:38 Who governs EPEL 16:08 The road to EPEL 10 21:45 Minor versions and the EPEL team 24:44 The private mirror problem 34:09 Cleaning it up in EPEL 11 40:26 Getting involved & RPM packaging 50:36 Wrap-up Links from this episode EPEL 11 discussion thread: https://discussion.fedoraproject.org/t/looking-back-at-epel-10-and-forward-to-epel-11/197373 EPEL branches documentation: https://docs.fedoraproject.org/en-US/epel/branches/ How to request an EPEL package: https://docs.fedoraproject.org/en-US/epel/epel-package-request/ What can I do for Fedora?: https://whatcanidoforfedora.org/ Join the Package Maintainers: https://docs.fedoraproject.org/en-US/package-maintainers/Joining_the_Package_Maintainers/ RPM packaging lab (RHDP): https://zero.rhdp.net/lab/zt-rhelbu.zt-rpmbuild.prod New to Fedora? Get started: https://fedoraproject.org/ Follow the Fedora Podcast: https://podcast.fedoraproject.org Join the conversation on Matrix: https://matrix.to/#/#podcast:fedoraproject.org Become part of the Fedora community: https://docs.fedoraproject.org/en-US/project/join/ Connect with Eric the IT Guy: https://linktr.ee/itguyeric Our guest: Carl George, EPEL Team Lead at Red Hat (https://fedoraproject.fireside.fm/guests/carl-george) Fedora #EPEL #Linux #RHEL #CentOS #EnterpriseLinux #RPM #OpenSource #SysAdmin #Podcast Licensed under CC BY-SA 4.0.Special Guest: Carl George.
As AI advances in producing content, writing code, and providing professional advice, the question arises: what remains uniquely human in the modern economy? While creativity and relationships are common answers, this week's guest proposes a different perspective: verified judgment, or the ability to demonstrate accuracy publicly before outcomes are known. We examine whether professional trust and credible expertise can be effectively captured, measured, and rewarded, especially as current systems like LinkedIn, credentials, and prediction markets have limitations. In this episode of Predictable B2B Success, we speak with Dan Pratl, who has played key roles during major system disruptions, including financial regulation at the SEC, the open-source movement at Red Hat, and the blockchain and crypto cycles. He is now developing Quadron, an infrastructure layer for the AI era designed to transform how expertise, judgment, and value are exchanged among individuals, companies, and industries. We discuss the personal catalyst that led Dan to this work, the overlooked gap in today's knowledge economy, and the importance of addressing these issues for founders, operators, and knowledge workers navigating rapid AI-driven change. Some topics covered in this session include: Failures of Current Credibility Systems: Limitations of LinkedIn, credentials, and prediction markets in proving expertise.Personal Healthcare Catalyst: The founder's experience navigating his mother's illness revealed system gaps.Systemic Infrastructure Breakdown: Examples from regulation, open source, and crypto where systems outlive their purpose.Quadron Product Overview: How Quadron works for professionals and key concepts like lenses and claims.Legal Protection of Expertise: Structuring and enforcing expertise ownership through trade secrets.Incentives and Reward Mechanisms: Incorporating incentives to align and compensate expertise in the AI economy.Enterprise vs. Consumer Adoption: Strategies for enterprise sales versus grassroots user-driven adoption.Talent Retention and Organizational Risk: The impact of visible, portable expertise on retaining talent and competitiveness.Shifting to Expertise Ownership Culture: The cultural and behavioral change needed for individuals to manage their expertise as an asset.
This week, we discuss Bun's move to Rust, OpenAI hunting for revenue, and Stripe's bid for PayPal. Plus, Coté's Dad wisdom. Watch the YouTube Live Recording of Episode 582 Runner-up Titles Turn off my dog Dad Wisdom Amazon subscription and let it fly Dad box Talking about modernization Skin in the game The ivory tower of “Things Actually Work in the Real World” Business fortnight No SegwaysBanking works everywhere else in the world, not America Rundown Rewriting Bun in Rust OpenAI OpenAI's No. 2 Executive to Step Down in Latest Leadership Shake-up OpenAI's Chief Futurist Is Leaving the Company AI Devices Are Coming. Will Your Favorite Apps Be Along for the Ride? OpenAI Executive Kevin Weil Is Leaving the Company OpenAI power consolidates under co-founder Greg Brockman ahead of prospective IPO Barret Zoph is out at OpenAI again after just five months Apple sues OpenAI, accuses ex-employees of stealing trade secrets OpenAI Appears to Be Missing Its Sales Goals by a Vast Margin Stripe, Advent make $53 billion takeover offer for PayPal, sending stock soaring Relevant to your Interests SpaceX, AI Bubble Fears, and The Age of the Trillion-Dollar, Zero-Profit Company Microsoft Frontier Company: AI engineering that amplifies and protects your intelligence Building a CLI for all of Cloudflare California founder fired for ignoring his company's own return-to-office mandate Samsung chip division's single-year profits beat its past 40 years of profits, combined Did a lottery winner become "the company of the future"? Power company hikes data center bills by 30%, cuts residential electricity costs by 1.3% Where AI Works: Slack is the Conversational Interface for Headless AI Salesforce MCP Servers: AI, Data & Analytics for Tableau & Data 360 in Slack IBM and Red Hat launch Lightwell to defend open-source code from AI attacks Infoblox acquires Kentik, adding network observability to its DNS and DDI platform Apple 'Hide My Email' Vulnerability Reveals Peoples' Real Email Addresses House passes bill to make daylight saving time permanent United Airlines' new upsell: Keeping other travelers out of the middle seat Linux creator Linus Torvalds puts foot down on anti-AI comments 1Password now lets Claude sign in to websites without seeing your passwords 1Password and Anthropic Bring Secure Credential Access to Claude forum, an accountable orchestrator for AI agents Google continues its renaming streak by turning NotebookLM to Gemini Notebook 'Pretty revolting': LG's TV are getting huge backlash from users due to installing software What is a micro-retirement? Inside the latest Gen Z trend You paid me, a long-time Linux user, to use Windows 11 exclusively for a month China delivers a one-two punch to America's AI dominance Can Lenovo's World Cup AI Moment Cement Its Enterprise PC Dominance? AI Coding Tools Deliver Speed but Not Business Value Unless Wrapped in Process: China's Moonshot in Talks on Pre-IPO Funds at $50 Billion Value OpenAI and Hugging Face partner to address security incident during model evaluation AI won't fix your broken culture, but you can fix your broken culture Oracle Is Now Down 28% in a Month. Will the 52-Week Low of $132 Hold or Fold? IBM stock craters 23% after issuing second-quarter earnings warning Sheetz is quitting VMware, migrating 11,000 virtual machines Meta in Talks to Lease Computing Power to Anthropic in Potential $10 Billion Deal AWS cloud lead Dave Brown heads to Meta - report - DCD Amazon senior cloud executive departs after 18 years Meta Caps Internal AI Token Spending After Costs Approach Billions in 2026 Meta Compute Launch Sends AI Compute Stocks Tumbling Globally Agentic ransomware for automated database extortion Dark-Moon: Autonomous AI pentesting engine Sponsors Signadot: making sure AI-written code actually works. Nonsense Messi Beats Ronaldo in 2026 World Cup Password Breach Data Rankings United Airlines' new upsell: Keeping other travelers out of the middle seat Yes, you can now order DoorDash from the command line House passes bill to make daylight saving time permanent Listener Feedback Biogen hiring Associate Director, Enterprise Architecture in Triangle, NC Tim releases a font for developers whose close-up vision isn't what it used to be The Java Story | Official Trailer | Full Film Coming July 17th Conferences DevOpsDays Graz, Sept 4-5, 2026 Cloud Foundry Summit, Sept. 21st to 22nd, Heidelberg, Coté speaking. DevOpsDays Rockies, Sept. 22 – 23, 2026, Discount Code: 26DODSWEDEFTALK WeAreDevelopers NA, Sept 23-25, 2026, Discount Code: DEVPOD26 25 Free Tickets DevOpsDays Dallas, Sept 28-29, 2026 DevOpsDays Vilnius, Sep 30 - Oct 1, 2006 DevOpsDays Istanbul, Oct 24th, 2026, Coté keynoting. VMware User Group, Orlando, Oct 20-22, 2026 Cloud Native Denmark, Nov 19th, 2026, Copenhagen, Coté keynoting. SDT News & Community Join our Slack community Email the show: questions@softwaredefinedtalk.com Free stickers: Email your address to stickers@softwaredefinedtalk.com Follow us on social media: Twitter, Threads, Mastodon, LinkedIn, BlueSky Watch us on: Twitch, YouTube, Instagram, TikTok Book offer: Use code SDT for $20 off "Digital WTF" by Coté Sponsor the show Sponsor more podcasts with Failover Media Recommendations Brandon: entogo — Type a keyword. Go anywhere. 28 Years Later, The Bone Temple Matt: Vacation, not micro-retirement Coté: Wolf Hall books.
A century-old tech company just took a gut punch from Wall Street. A century-old oil giant hasn't had an exciting headline in years. Ten years from now, which one do you actually want to own?In this episode, Greg takes the long view on two very different dividend payers. The first is IBM ($IBM), a stock that ran from the low $200s to a high near $325 over the past year as its quantum computing story caught fire. It then dropped back to around $205 after disappointing contract delays spooked the market. Greg walks through why the selloff isn't the end of the story: IBM's debt has improved, revenue is growing again after years of stagnation, and at roughly 17 times earnings, he argues investors are no longer paying for the quantum computing option.The second is Chevron ($CVX), a stock with none of IBM's drama and, in Greg's view, almost all of the certainty. Diversified across exploration, refining, and chemicals, with a dividend track record that held even when oil prices went negative in 2020, Chevron represents a different kind of long-term bet. It's not a call option on a breakthrough, but a compounding cash flow machine that is also a quiet beneficiary of AI.Two very different companies, one shared idea: real wealth is built by holding through the boring years, not by chasing the exciting ones.TOPICS COVERED[00:41] Introduction: Two Long-Term Stories, Two Different Bets [03:04] IBM ($IBM): From Story Stock to Speed Bump [04:47] Inside IBM's Business: Software, Consulting, and Red Hat [08:41] The Quantum Computing Bet Behind the Stock [13:44] IBM's 10-Year Dividend Growth Math [16:24] Chevron ($CVX): The Cash Flow Machine [18:17] Chevron's Dividend Track Record and Financial Strength [20:40] Diversification: Upstream, Downstream, and Chemicals [21:15] Chevron as a Natural Gas and AI Play [23:49] Why Chevron Over Exxon ($XOM)? [25:45] Two Long Views, One Lesson in Patience [28:02] Final Takeaway: It's All About the Waiting ________
Is artificial intelligence moving faster than the physical and digital infrastructure built to control it? In this episode of the Tech Field Day News Rundown, hosts Tom Hollingsworth and Alastair Cooke examine the top stories reshaping enterprise technology and global policy. OpenAI halts an experimental project after an autonomous model broke out of its sandbox and evaded security filters. Meanwhile, European aerospace giant Airbus begins moving hundreds of critical applications off AWS to French cloud provider Scaleway over data privacy concerns. On the hardware front, Cisco launches lightweight AI models to hunt code vulnerabilities on-premises, and Supermicro releases a turnkey Kubernetes appliance for remote edge deployments. Finally, the team breaks down California's ruling blocking AT&T from phasing out copper landlines, nationwide community protests over AI data center power demands, and upcoming U.S.-China AI safety talks.This and more on the Tech Field Day News Rundown with Tom Hollingsworth and Alastair Cooke. Time Stamps: 0:00 - Cold Open0:27 - Welcome to the Tech Field Day News Rundown1:13 - Supermicro, Red Hat & Everpure Unveil Edge AI Appliance3:58 - Judge Blocks AT&T's Bid to Drop California Basic Phone Service7:31 - Airbus Shifts Core Operations to Scaleway Over Privacy Concerns11:06 - Cisco Launches Antares AI to Spot Code Flaws14:49 - Nationwide Protests Erupt Over AI Data Center Expansion18:37 - OpenAI Pauses AI Model Over Security Bypasses22:26 - US and China Set for High-Level Talks on AI Safety and Security 28:49 - The Weeks Ahead31:49 - Thanks for WatchingFollow our hosts Tom Hollingsworth, Alastair Cooke, and Stephen Foskett. Follow Tech Field Day on LinkedIn, on X/Twitter, on Bluesky, and on Mastodon.
TIMESTAMP 00:00 - Intro : Niptech 498, épisode d'été avec Matt Prof du Web01:53 - YouTube : algorithme, thématisation forcée des chaînes04:48 - Communautés payantes et memberships YouTube06:10 - Miniatures, visages et A/B testing (titres, vignettes, vidéos)07:40 - Traduction automatique des vidéos YouTube09:06 - L'app Play : écouter des podcasts YouTube avec favoris et timestamps10:16 - Coupe du monde : Mike à Kansas City pour Suisse–Argentine14:38 - L'engouement pour le soccer au Canada16:09 - Cohere : l'IA souveraine canadienne (B2B, modèles, North)19:22 - Souveraineté numérique : Europe et Canada face aux géants US22:19 - Le modèle Red Hat : open source + consulting25:47 - "Le SaaS est mort ?"29:13 - OpenRouter : l'explosion de l'usage des modèles open source30:43 - Salesforce Agentforce AI 33:58 - Pourquoi le réveil sur la sécurité et la souveraineté des données ?37:07 - Le "4e écran" : form factors IA, lunettes Meta, contexte et Copilot43:55 - Sécurité interne : quand l'IA d'entreprise protège les salaires45:44 - Robots humanoïdes : IPO chinoises, location vs achat, limites actuelles51:00 - Inspiration : live avec Olivier Clerc des 4 Accords Toltèques53:29 - Documentaire : Rafa Nadal sur Netflix55:28 - Podcast : Tim Ferriss avec Guy Oseary57:32 - Livre : La Méditerranée de Fernand Braudel 1:01:26 - L'app Play 1:02:14 - Citation de la semaine : Gavin Belson (Silicon Valley)1:05:41 - Conclusion et prochain épisodeNEWS (Europe - Canada) Avec Cohere, le Canada possède l'une des plus importantes entreprises indépendantes d'intelligence artificielle à l'extérieur des États-Unis et de la Chine. https://www.ledevoir.com/economie/techno/974714/firme-canadienne-ia-cohere-met-main-allemande-aleph-alpha « Les restrictions imposées par Anthropic doivent servir de signal d'alarme » : Cohere, l'outsider canadien de l'IA qui veut conquérir l'Europe https://www.lesechos.fr/tech-medias/intelligence-artificielle/les-restrictions-imposees-par-anthropic-doivent-servir-de-signal-dalarme-cohere-loutsider-canadien-de-lia-qui-veut-conquerir-leurope-2238159 Will SAAS software continue to exist in 10 years time ? Starbucks Just Fired A Warning Shot At Microsoft And IBM AI Apps https://www.forbes.com/sites/sandycarter/2026/07/12/starbucks-just-fired-a-warning-shot-at-microsoft-and-ibm-ai-apps/ Open-Source AI Models May Be the Biggest Shift Since Cloud Computing https://www.virtasant.com/ai-today/open-source-ai-models-may-be-the-biggest-shift-since-cloud-computing Un 4e écran pour pour faciliter de nouveaux modes de travail https://fredcavazza.net/2026/07/15/un-4e-ecran-pour-pour-faciliter-de-nouveaux-modes-de-travailRobots'Listing is a must': Chinese humanoid startups are rushing to launch IPOs Chinese robots have captivated the world. A rental market is exposing their limits INSPIRATION#EVENT :: Niptech Explore - Olivier Clerc 30.06 à Lausanne youtube.com/watch?v=WEj8ZjyMQk8&feature=youtu.be #DOCUMENTARY :: Rafa https://www.imdb.com/title/tt35052852/ #PODCAST :: The Legendary Hollywood Power Broker — Guy Oseary on 36 Years of Managing Madonna, 26 IPOs, and More https://youtu.be/-e-gDi-nB1w?si=c-UYp-LPZQgkuuiA #LIVRE: La Méditerranée et le monde méditerranéen à l'époque de Philippe II - 1. La part du milieu https://amzn.eu/d/09WX1CMh #APP Play: Regarder Plus Tard https://apps.apple.com/ca/app/play-regarder-plus-tard/id1596506190?l=fr-CA#QUOTE :: “I don't want to live in a world where someone else is making the world a better place better than we are.” Gavin Belson - Silicon Valley https://www.imdb.com/title/tt2575988/--------------------------------------------------------------------------------------------------------------------------------------------------Retrouvez-nous sur tous les réseaux NIPTECH !Site web : https://www.niptech.comFacebook : / https://www.facebook.com/niptech/Twitter : / https://x.com/niptechpodcastLinkedIn: / https://ch.linkedin.com/company/niptech-podcast Hébergé par Acast. Visitez acast.com/privacy pour plus d'informations.
In this episode of the HR business marketing podcast, A Better HR Business, Ben and his guest, John Barron, Co-Founder & CEO of GoChallenge, explore how a gamified movement platform is helping teams boost wellbeing, deepen engagement, and build stronger company cultures. GoChallenge is a science-backed HR tech platform that uses team-based movement challenges to improve employee wellbeing, prevent burnout, and strengthen workplace culture. It helps HR and People & Culture leaders increase engagement and build more connected hybrid teams through simple daily physical activity that fits into the workday. Unlike traditional fitness apps, GoChallenge is designed specifically for organisations - requiring no gym, equipment, or extra time outside work routines. Trusted by organisations such as Tirlan, DocuSign, Gartner, Red Hat, and Three Ireland, GoChallenge delivers measurable impact across wellbeing, performance, and retention. Users report reduced stress and improved productivity, while companies see stronger cross-team connections and alignment with ESG and CSR goals. The platform is easy to deploy at scale and is built on behavioural science to make workplace wellbeing both effective and engaging. You'll hear practical strategies for how to attract HR consulting clients, running a workplace consulting business, and business growth strategies for consultants. Whether you identify as HR, workplace, L&D, OD, recruitment, or people & culture, you'll discover real stories and actionable advice to attract clients, win contracts, and grow sustainably. What You'll Learn in This Episode: Insights on the power of movement-based challenges to build workplace connection and engagement How to use inclusive wellbeing programs to appeal to HR and people & culture leaders Lessons from GoChallenge's growth - scaling through values-led marketing, partnerships, and proven client results Episode highlights: The inspiration behind GoChallenge and the real obstacles to regular exercise. Building movement, motivation, support, and accountability into workplace initiatives. The role of meaningful workplace connection - why it's essential for wellbeing and performance. Employee stories: From workplace rivalry to authentic relationships through team challenges. How GoChallenge works for employers: challenge formats, inclusivity, and rewards. Creating a level playing field to boost engagement across all abilities. Bringing company values to life and examples of running challenges globally. Marketing and business development: blending conferences, LinkedIn, partnerships, and charity tie-ins. Outbound selling and value-driven messaging to busy HR professionals. Practical challenges of scaling, integrating with existing platforms, and keeping things simple for buyers. The role of internal comms teams and having a plug-and-play “playbook” for successful implementation. Marketing and Business Growth: John outlines a two-pronged approach to growing GoChallenge: attending conferences and events for traditional networking and lead generation, alongside leveraging the visibility of successful client challenges on LinkedIn, often with video content and charity partnerships. The GoChallenge team uses targeted outbound email, focusing on company values and pain points. They emphasize the importance of being easy to work with and integrating seamlessly with existing HR and comms tech stacks. Plans for further growth include partnering with benefits providers and health insurers for wider distribution. Resources & Links Mentioned: Company's website: www.gochallenge.com John's LinkedIn: www.linkedin.com/in/johnrbarron Thanks, John! Check out this B2B podcast launch service. About The A Better HR Business Podcast The A Better HR Business shares strategies, tactics, success stories, and more about marketing for HR consultancies and marketing for HR tech companies, and how to get more clients. Follow the show on Apple Podcasts or Spotify so you don't miss future episodes. For show notes and to see details of our previous guests, check out the podcast page here: www.GetMoreHRClients.com/Podcast HR BUSINESS GROWTH RESOURCES Get the new book - Grow A Successful HR Business Your Way Launch your own business podcast: B2B Podcast Agency VISIT GET MORE HR CLIENTS Want more clients for your HR-related consultancy or HR Tech business? Visit the Get More HR Clients website for articles, newsletters, podcasts, videos, resources, and more at www.getmorehrclients.com.
Software Engineering Radio - The Podcast for Professional Software Developers
Garth Mollet, Senior Principal Product Security Engineer and Technical Advisor for Product Security at Red Hat, joins host Robert Blumen for a discussion of AI supply chain security. They start with the basics of supply chain security, including the key components of the AI supply chain, and how it differs from the conventional software supply chain. Garth discusses whether the attacks target model weights or inference, and describes the most common attacks and what's in it for the attacker, whether exfiltration, credentials, sabotage, or resources. The episode also considers SPIFFE, SPIRE, attestation, workload identity, and whether AI has the equivalent of "reproducible builds." Brought to you by IEEE Computer Society and IEEE Software magazine.
The Fedora Contributor Recognition Program just wrapped its second year, and the winners were announced live at Flock. On this episode of the Fedora Podcast, we sit down with a couple of them: Ankur Sinha and Justin Forbes, to talk about the work that earned them recognition and what keeps them showing up for Fedora year after year. We cover Ankur's long-running stewardship of the Join SIG and his work on NeuroFedora, Fabio's role pioneering Rust packaging guidelines in Fedora and his seat on FESCo, and Justin's work keeping the Fedora kernel reliable, secure, and up to date. Three very different corners of the project, one shared thread of contribution. If you have ever wondered what it takes to leave a lasting mark on Fedora, this episode is full of answers. The Fedora Podcast brings you exclusive interviews and deep dives with the innovators and contributors who make the Fedora community amazing! From cutting-edge technologies to the production of the Fedora distribution itself, we chat with the minds behind it all. Whether you're a longtime user or just curious, there's always something new to discover in the world of Fedora.
Building a Raspberry Pi powered Stream Deck, Redhat offers forever support, playing Silent Hill natively on Linux, and Cinnamon learned how-to Wayland?Video version of the show is available to Patrons, along with the Extended Chaos podcast featuring over an extra hour of LWDW content every week.PatreonDiscordYouTubeTIMESTAMPS00:00 Intro09:55 DIY Stream Decks20:38 Rent a Redhat26:43 Silent Hill running on Linux 33:57 Cinnamon learns to Wayland TOPICSPro Not Stream Deck https://interfacinglinux.com/2026/07/13/diy-raspberry-pi-powered-stream-deck-server/RHEL For Life (RTheren)https://www.heise.de/en/news/If-14-years-of-support-aren-t-enough-RHEL-for-eternity-11360882.htmlFog Simulator 1999https://interfacinglinux.com/community/linuxgaming/building-the-silent-hill-pc-port-on-linux/Cinnamon Waylandhttps://9to5linux.com/linux-mints-cinnamon-6-8-desktop-environment-will-fully-support-wayland
Mozilla is paying for Firefox to be on the front of Wrexham football shirts, SCO vs IBM might not be dead after all, Red Hat will support RHEL forever if you are willing to pay, OpenMandriva discovers why distros need good governance, Félim awaits his statue, and a quick Kagi update. News Wrexham AFC and Firefox announce a multi-year, front-of-kit partnership Zombie ‘who owns Unix?' lawsuit comes alive again Red Hat Enterprise Linux Long-Life Add-On: Your path to RHEL with no pre-determined end date OpenMandriva Statement regarding attempted distribution sabotage KDE at 30 Support us on patreon and get an ad-free RSS feed with some early episodes See our contact page for ways to get in touch. RSS: Subscribe to the RSS feeds here
Mozilla is paying for Firefox to be on the front of Wrexham football shirts, SCO vs IBM might not be dead after all, Red Hat will support RHEL forever if you are willing to pay, OpenMandriva discovers why distros need good governance, Félim awaits his statue, and a quick Kagi update. News Wrexham AFC and Firefox announce a multi-year, front-of-kit partnership Zombie ‘who owns Unix?' lawsuit comes alive again Red Hat Enterprise Linux Long-Life Add-On: Your path to RHEL with no pre-determined end date OpenMandriva Statement regarding attempted distribution sabotage KDE at 30 Support us on patreon and get an ad-free RSS feed with some early episodes See our contact page for ways to get in touch. RSS: Subscribe to the RSS feeds here
Josh welcomes Mo Duffy from Red Hat to chat about project Lightwell. The idea is to leverage the resources and understanding Red Hat has built up over the years to help deal with the deluge of vulnerability reports that are overwhelming open source projects. Mo does a really good job of explaining why this is fundamentally a people problem, not a technology problem. But it's a people problem we can probably use technology to help. It will be interesting to see where Lightwell goes in the next few years. The show notes and blog post for this episode can be found at https://opensourcesecurity.io/2026/2026-07-lightwell-mo-duffy
In this episode IOWN Global Forum board members Chris Wright (Chief Technology Officer and Senior Vice President of Global Engineering, Red Hat) and Jefferson Wang (Chief Strategy & Innovation Officer, Cloud, Accenture) talk through the accelerating shift towards photonics-based networks and how this next-generation technology can help unlock the full potential of the AI economy. Replacing electrical-based connectivity with optics promises to drastically increase processing speeds, reduce latency, and lower power consumption for high-demand AI, cloud computing, and financial networks.
A red hat and stick is a symbol of what movement? You may be surprised by the answer and equally astonished at the fact the...
The Facebook moment just hit enterprise AI. Did you miss the terms of service update?In this episode of KP Unpacked, KP Reddy and Nick break down why the Alex Karp CNBC interview landed like a bomb in enterprise boardrooms but barely surprised anyone actually building with AI. Construction company CEOs were getting texts from board members within hours: "Did you see this? What are we doing?" The answer for most of them? Running Microsoft Copilot, banning Claude, and quietly dealing with ransomware attacks that have already put subcontractors out of business.KP walks through the apple pie analogy: buying a pre-made pie (frontier models) is cheaper, faster, consistent. Making your own (open source) costs more, takes longer, outcome uncertain. But here's the real insight: the question isn't open source versus frontier models. It's what data should you never feed any model, period. Then a Bay Area contractor says something that cuts through all the noise: these YC kids have no construction experience, no relationships, no reputation. If they take our data and screw it up, they move on to their next startup. What do they have to lose? That's not a technology question. That's a trust question. And construction figured out the answer decades ago when they started vetting subcontractors.Key questions answered:Why did the Karp CNBC interview send board members texting their CEOs?What does "we're training on your data" actually mean legally and technically?Is the apple pie analogy the best way to explain open source versus frontier models?Why is ransomware quietly killing subcontractors before AI even arrives?What does a contractor's subcontractor vetting process teach us about evaluating AI startups?If a YC startup takes your data and folds, what does the founder have to lose?Why did Claude's updated terms of service change the conversation?What's the Red Hat playbook and why is Palantir following it?How does Zero RFI's opt-in audit trail architecture solve the data trust problem?Why are most AEC firms staying on Microsoft Copilot and not moving anywhere fast?Should startups building on frontier models be worried about their defensibility?Why does Karp get away with saying things every other public company CEO won't?If you're a construction company trying to figure out what to tell your board after the Karp interview, a startup wondering how to build trust with enterprise clients around data, or an executive who just realized you never actually read those terms of service, this episode will help you figure out what you actually agreed to and what to do next.Listen now.
I speak with Ricardo Noriega and Doug Smith from Red Hat about their experiments using VLLM Omni for video generation. Your journey to stunning videos starts here FlexClip is a simple yet powerful video maker and editor for everyone that helps users easily create compelling video content for personal or business purposes without any learning curve. https://go.chrischinchilla.com/flexclip For show notes and an interactive transcript, visit chrischinchilla.com/podcast/To reach out and say hello, visit chrischinchilla.com/contact/To support the show for ad-free listening and extra content, visit chrischinchilla.com/support/ Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
This show has been flagged as Clean by the host. 01 Introduction In this episode I will describe how to calculate elapsed time in bash or other shell scripts. While this may sound like a very simple and basic thing to do, there is a slightly more complex aspect to it if you wish to calculate elapsed time to a higher resolution than one second. 02 There are many reasons for calculating elapsed time in a shell script. For example you may wish to simply report how long an operation took to run. Another reason may be that you are trying to speed up a script and need to calculate benchmark data to see how different alternative methods perform. 03 What may seem like a simple task gets a bit more complicated if you want to do it for multiple different operating systems even if they are all unix related, as we shall see. -------------------- 04 Operating Systems Tested For the purposes of this episode, I ran tests on the current version of the following operating systems. Alma Alpine Debian FreeBSD OpenBSD RaspberryPi OpenSuse Ubuntu 2604 Alma is a close copy of Red Hat that we can take as representing Red Hat style distros. -------------------- 05 Simple Low Resolution Timing I will start with the simple and obvious method before describing the less obvious ones. This uses the date command to get the current time in seconds since the unix epoch. This is simply date '+%s' 06 Save this to a variable using whatever method you prefer. For example. starttime=$(date '+%s') 07 Next, do whatever operations it is you wish to time. Use the date command to get the current time again. endtime=$(date '+%s') 08 Now simply subtract the start time from the end time using shell arithmetic. This should be very obvious and basic. -------------------- 09 Higher Resolution Timing However, suppose we wish to measure time to greater than one second of precision. We need to do two things. The first is to obtain the current time at a higher degree of precision. The second is to conduct the calculations to a higher degree of precision. 10 Unfortunately, the standard time precision for POSIX shells seems to be 1 second. Some shells offer a higher precision, but others do not. Furthermore, standard shell arithmatic uses integer, which limits calculations to 1 second of precision. -------------------- 11 Bash High Resolution Shell Variable Fortunately, bash is one that does offer a high precision date. If you are using bash 5.0 or newer, there is a shell variable called EPOCHREALTIME which offers time since the the unix epoch (that is, since the first of January 1970, at 00:00:00 UTC) in seconds to 6 decimals of precision. 12 Example echo $EPOCHREALTIME 1779634800.184926 13 This is related to the similar bash variable known as EPOCHSECONDS which gives the number of seconds since the unix epoch. 14 Example echo $EPOCHSECONDS 1779634800 15 So if you are using bash, measuring time is very simple. -------------------- 16 But is it Really Bash? Is your script however actually using bash? Debian and derivatives actually have two shells. The first, the interactive shell is bash. The second, the non-interactive shell is dash, which stands for "debian almquist shell". 17 If you open a terminal, you get bash. If your script starts with a "bin/bash" shebang line, you get bash. However, if your script starts with a "bin/sh" shebang line, you get dash. Some people find themselves getting caught out by this one when they try something out in a terminal but find that it doesn't work in their script which started with "bin/sh". 18 Many other, but not all, Linux distros use bash for both the interactive and non-interactive shells, so "bin/sh" and "bin/bash" work the same with those ones. So if you intend to use bash, make sure your script calls for bash in the first line. -------------------- 19 The SHELL Variable So how can a script tell what shell it is running under? There is a shell variable called "SHELL" which will tell you the name of the shell. Well, sort of. 20 On Debian and derivatives "SHELL" will say "bash" regardless of whether the actual shell is bash or dash. On some other operating systems "SHELL" will simply say "sh" even if it is something else entirely. So we need to do some additional levels of checking to see what we have. 21 To start with though, here's what each of the test distros reports for SHELL. Alma : bash Alpine : sh Debian : bash FreeBSD : sh OpenBSD : ksh Raspberry-Pi : bash Suse : bash ubuntu2604 : bash -------------------- 22 Bash Versus Dash First, let's try to see which ones are bash and which ones are dash. The first thing we can check is for the shell variable BASH_VERSION. 23 Example echo $BASH_VERSION If the shell is bash, then it will report a version string. If the shell is not bash, then it will return an empty value. 24 Using this test, we can see that Alma and Opensuse are indeed using bash. We however need to check Debian, Raspberry Pi, and Ubuntu when running in an "sh" script. To check this we can use the "which" command to see what "sh" actually is. 25 Example echo $( ls -l $(which sh ) | rev | cut -d" " -f1 | cut -d/ -f1 | rev ) 26 "which sh" shows us the path to "sh" However, that is a link so we need to use "ls -l" to find the actual executable. "rev" reverses the string. 27 "cut" takes the first element separated by spaces. The second "cut" takes the first element separated by the "/" characters. The final "rev" takes that string and reverses it again to get it in the correct order. 28 In the case of Debian, Raspberry Pi, and Ubuntu it tells us that this is "dash". -------------------- 29 Openbsd Openbsd reports its shell as "ksh", which stands for Korn Shell. It is indeed Korn Shell, so we simply leave that one as is. -------------------- 30 Alpine and Freebsd Next we have Alpine Linux and Freebsd, which both report as "sh". In the case Freebsd there doesn't appear to be any further we can go that I am aware of. It's simple "sh". It is a basic POSIX shell which seems to be similar to the original unix shell, the Bourne Shell. Older versions of Freebsd used a different shell known as tsch (the C shell), but I haven't tested that so I will ignore that here. 31 With Alpine Linux however, we can get the actual shell using the same method that we used for Debian Linux. This reports as being "busybox". 32 Busybox is a limited shell intended for use in embedded systems. Alpine was originally an embedded distro, but some people started using it for containers. Alpine is Linux, but it is not GNU/Linux, and there are a number of areas which can trip you up if you are not aware of them. So, be extra careful if you are using it for anything, and test everything. -------------------- 33 Summary of Actual Shells Here is our revised list with the actual shell used when asking for "sh", so far as we can determine. Alma : bash Alpine : busybox Debian : dash FreeBSD : sh OpenBSD : ksh Raspberry-Pi : dash Suse : bash ubuntu2604 : dash 34 There are other shells, but none of them are the default shell for any of the distros on our list, so I haven't tested them. -------------------- 35 Solutions for Measuring Time Now we need to find solutions for bash, dash, ksh, sh, and busybox. -------------------- 36 Bash For bash, we can simply use EPOCHREALTIME, as mentioned above. -------------------- 37 Dash For dash, we can use the date command. This is a very conventional method, and is probably the first answer that anyone would give for this situation. However, while it will work in most cases, it will not work in all cases, so it is not a universal solution. 38 To use date we simply call it with the correct format string. This uses %s to get seconds since the epoch, and %N to get nanoseconds of the current second. If you put a decimal separator between the two it will appear in the output. You can use the correct decimal separator for your locale, but I won't go into that here. Instead I will just assume a period or dot. 39 Example date '+%s.%N' 1779634800.358916385 -------------------- 40 Problems with Date on Alpine and Openbsd Date will work for bash, dash, and sh on Freebsd. However it will not work for ksh on Openbsd, or for busybox on Alpine. 41 With busybox on Alpine, it simply ignores the %N format specifier and prints out the epoch in seconds only followed by the decimal separator. = Example date '+%s.%N' 1779634800. 42 With ksh on Openbsd it prints the epoch in seconds followed by the decimal separator and then the %N as a literal N. date '+%s.%N' 1779634800.N 43 Fortunately we have alternatives for these two cases. -------------------- 44 Openbsd Openbsd has the "ts" or timestamp utility installed by default. ts prints a time stamp in front of every line it receives from standard input. I won't go into details on all aspects of ts here, I'll leave that to someone else. Instead I will focus on how to use it for our specific purposes here. 45 We need to provide a format specifier to ts, which in this case is "%.s" We also need to provide something for standard input, or otherwise ts will simply sit there and wait for input. So what we need to do is to echo nothing through a pipe to ts while also giving ts the proper format specifier. 46 Example echo | ts "%.s" 47 This will output the epoch time in seconds to six decimals of precision. ts is installed in Openbsd and Freebsd by default and can be used in either. It can also be installed in many other distros. -------------------- 48 Busybox on Alpine None of the methods discussed so far will work for busybox on Alpine though. However there is a way, but it's a bit non obvious and somewhat hacky. 49 Busybox includes a command called "adjtimex". This is normally used to adjust the time hardware. However if it is run without arguments, it will report the current settings. 50 These include the current epoch time in seconds , and in another field the time in microseconds. These are reported as key value pairs. So what we need to do is to do the following 51 Run adjtimex Capture the output. Grep for "time.tv_sec" Grep for "time.tv_usec" Use cut to extract the time value in each case. Use tr to get rid of excess spaces in each case. Combine the two in a string with a decimal separator between them. 52 This takes a total of 4 lines of shell script. I will just describe them breifly here, see the show notes for details. 53 First we want to capture the output of adjtimex in a single operation. Run adjtimex and pipe the output through grep to capture lines containing "time.tv_" and save this to a variable. # Extract the current high resolution time from adjtimex. # We want two key value pairs, identified by time.tv_sec and time.tv_usec. tvals=$( adjtimex | grep "time.tv_" ) 54 Next echo the contents of this variable and pipe it through grep, cut, and tr to get first the seconds and then the microseconds while also removing excess spaces. Save these to two separate variables. "time.tv_sec" is the time in seconds since the epoch. "time.tv_usec" is the number of microseconds in the current second. # Get the time since the unix epoch in seconds and micro-seconds. timesec=$( echo "$tvals" | grep "time.tv_sec" | cut -d: -f2 | tr -d " " ) timeusec=$( echo "$tvals" | grep "time.tv_usec" | cut -d: -f2 | tr -d " " ) 55 Adjtimex does not zero pad the microsecond time value to provide leading zeros, so we need to take care of this using printf before we can append it to the seconds value. We didn't need to do this with date where the %N format character does this automatically. In this instance, the printf format string is '%06d' padusec=$( printf '%06d' $timeusec ) Now, combine these into a single number with a decimal separator by using simple string concatenation. # Combine them into a single number. timehires="$timesec"".""$padusec" -------------------- 56 Summary of Methods Let's summarize where we are so far in terms of methods we can use to get the current time as a high resolution number. Alma : use EPOCHREALTIME or date Debian (bash) : use EPOCHREALTIME or date Raspberry-Pi (bash) : use EPOCHREALTIME or date ubuntu2604 (bash) : use EPOCHREALTIME or date Suse : use EPOCHREALTIME or date Debian (dash) : use date Raspberry-Pi (dash) : use date ubuntu2604 (dash) : use date Alpine : use adjtimex and parse the output FreeBSD : use date or ts OpenBSD : use ts -------------------- 57 Other alternatives There are a few alternatives that we haven't discussed yet. 58 Bash with Dash In the case of Debian, Raspberry Pi, and Ubuntu running dash, since bash is available it is possible to write a separate bash script which simply echos EPOCHREALTIME and then call it from the dash script and capture the output. While this would work, there's probably not a lot of point to it. If you can rely on bash being there, then just change the first line of the script and make it a bash script. 59 Adding Packages to Alpine The ts or timestamp utility is a common unix utility that can be installed if it is not present by default. This does produce high resolution timestamps on Alpine. On Alpine Linux this comes as part of the "moreutils" package. To add the package, use the following sudo apk add moreutils echo | ts "%.s" 1779634800.959948 60 You can also add the GNU coreutils, which will provide a high resolution date command which works like in the other examples. To add the package use the following sudo apk add coreutils date '+%s.%N' 1779634800.212897332 61 If you can install more packages into your Alpine system, either of the above two is probably going to be preferable to parsing the output of adjtimex. 62 Custom Timestamp Programs You can also write a very short program in python, perl, tcl, or some other language and have it output the current epoch time. I won't discuss that here though. -------------------- 63 Calculating Time Differences Shell arithmetic is integer only. If we wish to use high resolution timing data, we need to do something so we don't lose the precision we have worked so hard to get. There are several possible solutions. 64 Change the Time Base One method is to change the time base from seconds to milli, micro, or nanoseconds. This can be done by simply multiplying the time values by the appropriate amount (e.g. 1000, 1,000,000, etc.) before subtracting them. This allows for integer arithmetic on high resolution values without losing precision. 65 Use the Shell bc Arbitrary Precision Calculator The bc command line calculator will perform calculations using real numbers and is easy to use in scripts. It is present by default in most distros. echo "scale=9; $endtime - $starttime" | bc where endtime and starttime are variables containing time values. 66 However, for some inexplicable reason, neither Debian nor Opensuse install it by default. It is present in Ubuntu and Raspberry Pi which are Debian derivatives, and it can be added to distros which lack it. 67 Use awk awk can also perform calculations using real numbers and it is present in nearly all distros including in all of the ones we tested here. echo "$endtime $starttime" | awk '{printf "%.6fn", $1 - $2}' -------------------- 68 Benchmarks And of course no comparative evaluation would be complete without benchmarks where we see how each method compares to another in terms of speed. In the benchmark test I ran each method in a loop through multiple iterations, measured the elapsed time, subtracted out the time for an empty loop, and then compared it to alternate methods. For anything other than EPOCHREALTIME, the empty loop time is negligible and has no real effect on the results. 69 Rather interestingly I came across a bug which caused date to run very slowly if called immediately after using EPOCHREALTIME in bash. The effect of the bug was to make the date benchmark test roughly 24 times slower. This has been fixed in newer releases, but if you are using an older distro release then beware of this bug. I was able to get around it either putting a sleep delay between benchmarking EPOCHREALTIME and benchmarking date, or by simply testing date before testing EPOCHREALTIME. 70 To be able to conduct additional tests I installed ts in Ubuntu and Alpine, and the GNU version of date in Alpine. 71 EPOCHREALTIME Versus date in Ubuntu 2604 bash The EPOCHREALTIME method is 3103 times faster than date. However, when the same test is run on Ubuntu 2404 when the date test is run before the EPOCHREALTIME test, EPOCHREALTIME is 1240 faster than date. Other Linux distros show performance to Ubuntu 2404. It appears that a side effect of fixing whatever the bug is has the effect of slowing down date. However, this is probably not a significant issue in normal circumstances. 72 date versus ts in Ubuntu 2604 bash The date method is 3.7 times faster than ts 73 date versus ts in Ubuntu 2604 dash The date method is 4.9 times faster than ts 74 date versus ts in Freebsd sh The date method is 2.5 times faster than ts 75 date versus adjtimex in Alpine Busybox The date method is 6.0 times faster than adjtimex 76 date versus ts in Alpine Busybox The date method is 20.0 times faster than ts 77 bc versus awk in Ubuntu 2604 I compared calculating the difference between two numbers when using bc versus awk. The difference is negligible, with bc being only 7% faster than awk. 78 Conclusion for Benchmarks Based on these results, if you need to measure elapsed time to high resolution and care about runing the command with as little overhead as possible, then the order of preference should be the following. 79 If you are using a newer version of bash, then use EPOCHREALTIME. If that is not available, then use date, provided it allows for high resolution times. If the above two cannot be used, then use ts. If you are using Busybox and cannot install either GNU date or ts, then use adjtimex. Date is the closest in terms of being the universal portable solution, but it does not work in all cases. 80 I have not compared different platforms to each other in terms of performance, as that would be a much more involved problem that is outside the scope of this episode. However, different operating systems implement different commands in different ways. 81 For example, on Openbsd and Freebsd, ts appears to be an ELF binary. That is, it is executable machine code, possibly written in C. On Ubuntu however, ts appears to be a perl script. As a result of this, the advantage that date has over ts is much less in Freebsd than it is with Ubuntu (and likely other Linux distros) as on Freebsd it doesn't need to load a perl interpreter to run ts. -------------------- 82 Overall Conclusion You no doubt thought that measuring elapsed time was going to be so simple, and how could someone get an entire podcast out of such a simple subject? And yet here we are half an hour later with just a basic overview of the subject. 83 I hope you found this interesting and informative. Please let us know in the comments if you think that I have done anything incorrectly, or if you have another way of doing things. I hope to see you all again in another future episode of HPR. -------------------- Provide feedback on this episode.
“The minute it worked, we actually started to use smaller models for the things we knew that it worked and see what they could accomplish at a fraction of the price,” says Matt Hicks, CEO of Red Hat, in a discussion with Bloomberg Intelligence Senior Technology Analyst Anurag Rana. In this episode of the Tech Disruptors podcast, the pair discuss Red Hat's role inside IBM, the durability of hybrid cloud and why OpenShift, virtualization and AI are becoming key growth drivers. Hicks explains how Red Hat is applying AI across engineering and business operations, using smaller models, containers and OpenShift to help customers build more flexible, cost-efficient AI infrastructure.
Are you feeling psychologically overwhelmed, like a puzzle missing half its pieces? Join us for a deep dive into the surprisingly profound psychological archetypes hidden within Smurf Village. Rather than a simple children's cartoon, the village serves as a map of the human psyche, where every Smurf represents a fragmented trait—like the overanalyzing Brainy or the fearful Clumsy—competing for the steering wheel of your mind. We explore the role of Papa Smurf as the "CEO" of the brain, representing the prefrontal cortex and providing the "Red Hat" of biological predictability and order. Discover how to manage your own internal "boardroom," defend against the "Gargamel" of toxic external influences, and step into the role of a wise elder in an age of information overload. It's time to stop exiling your messy parts and start integrating your internal village.
Top Headlines: Trend Micro | Old WinRAR Flaw Fuels Attacks on Ukraine: How Unmanaged Software Keeps the Door Open: https://www.trendmicro.com/en_us/research/26/f/old-winrar-flaw-fuels-attacks-on-ukraine.html The Hacker News | Researchers Build Self-Replicating AI Worm That Operates Entirely on Local, Open-Weight Models: https://thehackernews.com/2026/06/researchers-build-self-replicating-ai.html Huntress | Unpatched NTLM Leakage in Windows search: URI Handler, Same Bug, No CVE, No Fix | Huntress: https://www.huntress.com/blog/unpatched-ntlm-leak-windows-search-uri-handler aikido.dev | Red Hat npm Packages Compromised to Spread a Credential-Stealing Worm: https://www.aikido.dev/blog/red-hat-npm-packages-compromised-credential-stealing-worm?_gl=1*8wn4a9*_up*MQ..*_gs*MQ..&gclid=Cj0KCQjw_vnQBhCxARIsADcZyxL-SVitznmoZxhQ5DpjJdXLfpMZyybysJ0YaiJmipzBYpqtqpTk2GUaAtsMEALw_wcB&gbraid=0AAAAApQ3BFhNDUDPZ7DnB3pGVCSCcmPoZ ----------Stay in Touch!Twitter: https://twitter.com/Intel471IncLinkedIn: https://www.linkedin.com/company/intel-471/YouTube: https://www.youtube.com/channel/UCIL4ElcM6oLd3n36hM4_wkgDiscord: https://discord.gg/DR4mcW4zBrFacebook: https://www.facebook.com/Intel471Inc/
June 2026 has no headliner. Instead of one critical bug, the release spreads thin across the kernel, the network stack, a code editor, an AI assistant, a bootloader, and a nine-year-old Linux root bug. It's a breadth problem, not a severity one, and it changes how you triage.Jason Kikta and Landon Miles break down the whole release, then step off the patch list for the breaches that never got a CVE: GitHub's internal repos reached through a poisoned VS Code extension, a TanStack compromise carrying valid SLSA provenance, and a Red Hat npm namespace compromise that fired the moment anyone ran npm install.
Description The Future of Tech is Here. Subscribe to our Newsletter:https://theultimatepartner.com/ebook-subscribe/ Check Out UPX:https://theultimatepartner.com/experience/ In this presentation from Ultimate Partner Live, industry analyst Jay McBain breaks down the monumental macroeconomic shifts rewriting the tech sector in 2026. https://youtu.be/r0qTDyw97Gs As the industry rapidly approaches a $6.07 trillion valuation, driven by massive AI infrastructure investments from Sam Altman and the “Magnificent Seven,” traditional sales and channel models are fundamentally collapsing. McBain reveals how buyer demographics have transformed to an integration-first millennial base, why marketplace ecosystems now command over half of all partner-funded deals, and how a tiny elite of just 1,000 tech service providers control two-thirds of global tech revenue. Learn the exact mechanics behind how Microsoft out-partnered AWS to win 26 straight quarters of dominant growth and how your business can deploy an algorithmic early warning system to capture massive wallet share before competitors even step into the boardroom. Key Takeaways Over half of the Fortune 500 companies vanish every 20 years because their leadership fails to anticipate macroeconomic technological cycles. The true opportunity in the $6.5 trillion AI boom lies not in single vendor products, but in the hardware, software, services, and telecom ecosystem surrounding them. Indirect tech sales are undergoing a structural shift toward direct cloud hyperscaler models driven heavily by Nvidia's core infrastructure client base. Modern business deals are won or lost months before the point of sale based on the average of 6.3 partners surrounding a customer’s environment. Over 51% of tech buyers are now millennials who prioritize software integration capabilities and digital marketplaces over traditional human sales interactions. Tech service economics are pivoting aggressively away from upfront margins toward point-based multi-partner funding across subscription cycles. If you're ready to lead through change, elevate your business, and achieve extraordinary outcomes through the power of partnership—this is your community. At Ultimate Partner® we want leaders like you to join us in the Ultimate Partner Experience – where transformation begins. Key Tags Nvidia AI buildout, $7 trillion AI opportunity, cloud ecosystem decade, Microsoft vs AWS growth, multi-partner cloud deals, digital marketplace migration, millennial B2B buyers, B2B tech subscription economics, tokenized micro consumption, tech services wallet share, hybrid cloud infrastructure, 28 customer moments, IT services industry growth, telecom spend breakdown, channel chief strategy, managed service providers MSP, global systems integrators GSI, software integration first, point-based vendor incentives, automated co-selling workflows Transcript JAY McBAIN AUDIO PODCAST [00:00:00] Jay McBain: So to go back to that story about the 53% of companies who are gonna fail, one of us is gonna be asked to write the book, but chapter one is always you Blame the CEO. [00:00:13] Vince Menzione: We just came back from Ultimate Partner live in Bellevue, Washington, where we hosted incredible leaders for two amazing days. Come join us for this next session where we explore the tectonic shifts we’ve all been seeing. With that, I am incredibly blessed to invite a friend of mine to the stage. I have a quick little side note, like I found an old LinkedIn post from this gentleman from like many years ago, like 20 years ago. [00:00:39] Vince Menzione: And I wasn’t really that nice to you on that LinkedIn post. Like, oh, like this is before Jay became the Jay, that we all know Jay to be j. But he was in the space and I was at Microsoft doing something and he reached out about something. It was kind of rude, Jay. I was like, oh my gosh. I can’t believe. But Jay has been a great friend. [00:00:54] Vince Menzione: When we started the podcast back up, uh, during COVID we started doing podcasts together. When we moved to the studio, Jay was the first person in the studio. He’s always got a spot, uh, at our events. He’s s Spot Art, and, and he’s a great friend and supporter of Ultimate Partner Jay McBain. For those of you who don’t know him, Jay, welcome. [00:01:13] Vince Menzione: Thank you, sir. [00:01:22] Jay McBain: 31 days ago, we landed Artemis two. The furthest humans have ever been away from the planet Earth 57 years ago. We landed on the moon in the 56 years. Between those two moments, the tech industry has been the fastest growing industry in the world. Every single year we moved from the space race to the technology race, and we’re just getting started. [00:01:46] Jay McBain: If you’re old enough, you’ll recognize the mainframe and mini era for 20 years. You’ll recognize a young disheveled Bill Gates showing up in Boca Raton, Florida for, uh, August the 12th, 1981 launch, where Bill thought that every one of us would’ve a PC in our home, and IBM thought they were gonna sell 10,000 of them to hobbyists. [00:02:12] Jay McBain: 1999, a small startup from an executive who just left Oracle in San Francisco named Mark Benioff. A couple of years later, Jeff Bezos went into a boardroom and said, listen, we’ve spent a lot of money building infrastructure to our busiest day, Christmas, black Friday. You’re telling me this stuff sits idle 10 or 20% for the rest of the year. [00:02:35] Jay McBain: Why don’t we rent that out to others? Got laughed outta that boardroom and then got made of fun of on magazine covers. Maybe you should just tend the store, let the adults talk about technology. In March of 2023, our neighbors, our friends, our family saw DeepFakes. They saw poetry, they saw music, and they came to us as tech people and said, did we just light up Skynet? [00:03:03] Jay McBain: Now every one of these 20 year eras, this is the Taylor Swift version of our industry. Every single one of these eras triggers the fastest growing product in history. Today it’s actually Chacha bt first to a billion users. It triggers a new, richest person in the world, bill Gates, to Jeff Bezos. Now, Elon Musk is the first to sign a trillion dollar pay package, and it’s not for car. [00:03:27] Jay McBain: It’s not for cars. It also triggers a most valuable company in the world change. And today that’s nvidia. These are monumental changes in our industry and they’re monumental changes in partnering every single time. And it also links to our customers. If you take a 20 year view of business, one era, and, and think about the AI era, you know, at the start of it here, if you’re to grab the Fortune 500 magazine from 20 years ago and start to flip through it, 53% of the companies in there no longer exist. [00:04:06] Jay McBain: Every 20 year cycle, we lose over half of the biggest companies in the world. These are the companies that have very deep pockets to buy their way outta problems. If you’re not in the Fortune 571% of tech companies don’t make it 10 years. These are the changes that cost industries. There are changes that cost really big companies and the decisions we make, the trends we’re in right now, in 2026 will be written about in the future. [00:04:39] Jay McBain: This new era, a lot of big numbers being thrown around. Vince’s best friend talk about a six and a half trillion dollar AI opportunity, but it’s not Microsoft’s tam. Microsoft is chasing about a trillion dollars of this. And the ecosystem, the hardware, the software, the services, the telecom is gonna make up the rest. [00:05:04] Jay McBain: It is an ecosystem. Every time these big numbers are thrown, the word ecosystem is always thrown around it. Not to be outdone, Sam Altman’s talking about a $7 trillion build out. The world economy this year, the world GDP will be 126. These are material numbers to world GDP, but even better, they’re both larger than our entire industry is today. [00:05:27] Jay McBain: So what took 56 years of the fastest growing industry this year will be $6.07 trillion. Big numbers, but it’s easier to think about it in terms of a dollar that our customers spend in that dollar. They’re gonna spend 25 cents on hardware. They’re gonna spend 25 cents on software. So for anyone that read the memo 15 years ago, that software’s gonna eat the world, there’s still a dollar a hardware to run every dollar of that software. [00:05:57] Jay McBain: And whether you’re thinking humanoid robots or whichever future you’re envisioning, there’s going to be a dollar of hardware to run every dollar of software for the next 20 years. There’s over 25 cents now in IT services, and in many cases, these services are growing faster than the product categories and just under 25 cents in telecom, that’s how it breaks out today. [00:06:19] Jay McBain: And this industry, which took 56 years to get to this point, is gonna double in size in the next three to five years. We already have two and a half trillion of that seven raised and being spent. Part of the reason Nvidia is the most valuable company in the world. Now our industry, uh, you talk about ultimate partnerships. [00:06:40] Jay McBain: Our industry traditionally, and world trade by the way, is 75% indirect. The dealerships, the agencies, the brokers, the resellers, the retailers, the franchisees, the gas stations, the grocery stores, the pharmacies, all 27 industries sell indirect. You gotta think back the last time you bought something direct. [00:07:01] Jay McBain: Well, I bought a Dell from that dude in the nineties. Cool. Well, Dell Technologies is now 60% indirect. Well, I bought insurance. Direct is 15 minutes. Could save me 15%. Well, Geico last year sold more insurance through agencies and brokers than they did direct. This is the world now. We used to be 75% indirect four years ago. [00:07:26] Jay McBain: Then it went to 73.2, then it went to 70.1 and it then it went to 66.7. By the way, marketplace is in these numbers indirect. It’s not marketplace causing this change. It’s one company, Nvidia. Nvidia has seven customers. The magnificent seven, uh, half of them are in the room right now that every morning we wake up to a hundred billion dollars press release about this $7 trillion buildout. [00:07:56] Jay McBain: What’s interesting is indirect sales in our industry is growing by revenue. It increases every year, just not at the pace that this AI build out is happening direct with seven companies. But the reason we’re all here, and I think the core reason that Vince is building this community is this, you know, Microsoft forever has measured and been very vocal. [00:08:21] Jay McBain: About 96% of their deals have partners in them. Kind of who cares, who collects the money. We care about the moments, the 28 moments before the customer makes a purchase. We care about every 30 days forever, because two thirds of our industry, over $4 trillion now is subscription consumption based. Winning a customer today is only winning the first 30 days. [00:08:46] Jay McBain: We care about this cycle. We care about who surrounds our customer. So six years ago, I stood on a big stage and said, you know, we went through a decade of sales. You know, in 1999, you thought you were born to be a salesperson. You’re managing your territory with your gut. Well, a few years later, you were introduced to the science of selling. [00:09:07] Jay McBain: You know, 10 years later you thought as a marketer, you sit around a cocktail party joking with your friends, 50% of my marketing dollars are wasted. I just don’t know which 50%. Really funny. In 2009 until every 58-year-old CMO got replaced by a 38-year-old growth hacker. Coming in with Marketo and Eloqua and Pardot and HubSpot, and 15,505 as of yesterday, MarTech and iTech tools, ninjas in marketing, they wouldn’t let a nickel go through without measuring. [00:09:43] Jay McBain: Now we understand 96% of deals and partners that surround it. No deal is gonna be won or lost in this era without partnering effectively. So we had to have this decade of the ecosystem. One of the ways we’re tracking is by outsiders. You know, Salesforce every year publishes the state of sales and they’ve got, you know, the number one CRM in the world. [00:10:05] Jay McBain: So they get to go talk to all the CROs, all the salespeople in the world. And as of this year, a couple months ago, 94% of every salesperson in every industry in the world uses partners every single day. You wanna see what this number was six years ago. Also, 89% of salespeople around the world don’t think they’re going to club this year without partners. [00:10:29] Jay McBain: So this is a big moment for us, halfway through the decade ecosystem, but we’re only halfway through. We’re starting to understand now at a more granular level. What partnering means. It’s not theory, it’s not flywheels. It’s not really cute. McKinsey slides that we keep showing to our board saying how important partnering is. [00:10:51] Jay McBain: We’re trying to get to the very specific level of the 6.3 partners on average that surround the deal and what they’re doing. How their business model works, and that’s average if I’m working on a public sector deal. I was at a Red Hat conference yesterday talking sovereignty. If I’m in an enterprise or a large public sector deal, it’s north of 10 partners in the deal. [00:11:15] Jay McBain: So we’re starting to understand what used to be this, this, you know, you’ve been the fastest growing industry for 56 straight years. Every single professional services person in every industry has come in to join the fund. Over 90% of accountants are tech services firms. Over 90% of marketing agencies are tech services agencies. [00:11:36] Jay McBain: All of this 250,000 software companies, a million emerging comp tech companies, the half a million VAR that have been in that traditional channel. The managed service providers, all of these 20 different partner types, millions of companies, tens of millions of people competing for 6.3 spots. Around the customer. [00:11:58] Jay McBain: That’s it. Luckily, there’s 141 million global customers to compete for. There’s, there’s some open slots that you can go find, and that’s the point. Our industry never had our own Fortune 500. We always talk to, you know, these partners and GSIs are doing this and SI are doing that. And we never really had a view of capability and capacity or what our own TAM was inside of that partnering. [00:12:25] Jay McBain: And so we set out and we would’ve loved, you know, chat GPT or Gemini or Claude or any of those tools to do this. But there’s one problem in partnering with AI is that it doesn’t know one partner from the next. There’s a big digital sameness problem in our industry that every single partner, whether it’s Larry in the White van or Accenture, with 786,000 employees all say they do all things to all people all the time. [00:12:53] Jay McBain: 98% of them, 99% of them are private companies that don’t share their p and l. You can’t go into Microsoft’s LinkedIn system and find out how many employees, ’cause it’s a block system, it AI can’t see into it. So it just sees, and it’s a great pattern matching. Google, SEO can’t figure out who’s who, nor today can the large language models. [00:13:14] Jay McBain: ’cause all the things they’re trying to match, the transformers are trying to match. It all looks the same. Every tweet, every ebook, every website, every digital history looks the same. So this took us thousands of people hours across two years to do, to dig into every p and l to dig into every dollar of what they’re doing. [00:13:33] Jay McBain: But what was interesting is only a thousand partners in our industry do two thirds of all tech services. When you get into enterprise, it goes up to 80 to 90%. The partners in the middle, in Blue do more tech services. The 30 of them than the 970 partners in white on the outside, the 970 partners in White do more tech services than the next million combined. [00:14:03] Jay McBain: This is our industry in a nutshell. Every time we talk to a a vendor, every time we talk to a partner, every time we talk to a distributor, we’re now talking names, faces, and places. You you wanna talk sovereignty. Yesterday in Atlanta, 90% of sovereign conversations in public sector in the globe is handled by these companies here. [00:14:26] Jay McBain: Forget about how much you do with these partners today. You wanna chase the next column, which is the wallet share. And I was a channel chief for 17 years. I get the weekly report and I see a million dollar partner, another million dollar partner, sorted top to bottom. You don’t know which partners which, which of those million dollar partners is doing 1.2 million in your category. [00:14:46] Jay McBain: They deserve a baseball cap and a front row seat at your event as an MVP. The next partner right next to them is doing 10 million in your category. They’re only doing a million with you. ’cause customers are pulling them into it. Nine times outta 10. They’re leading with your competitor. So I don’t want that list anymore. [00:15:03] Jay McBain: I want the new list, which is showing me those $9 million opportunities. And I as a board member, as A CEO, as a CFO, as a CRO, I wanna see this list. And then I want to talk people, processes, programs, technology. What are we gonna do to go get our fair share of that 9 million? Where’s our lowest hanging fruit? [00:15:24] Jay McBain: How do we double our pipeline? How do we double the size of our company in three years? It’s all right here. Let’s have very specific conversations and move away from flywheels and move around from force multipliers and and things like that in partnering. Let’s figure out how this partner community is surrounded. [00:15:45] Jay McBain: What do 10 million people who have to be smart in front of their customers every single day, what do they read? Where do they go and who do they follow? It’s the law of a few. This is the old Malcolm Gladwell of tipping point 10 million people in the broader channel. A hundred percent of our TAM comes down to only a thousand watering holes. [00:16:08] Jay McBain: 12% of that entire audience. Doesn’t sound like a lot, but it’s over A million. People love podcasts. Number one way they learn the Joe Rogan effect. In our industry, there’s 121 podcasts. These are all public lists. You can go get on my LinkedIn newsletter on canals, oia. But there’s 121 podcasts that drive him forward. [00:16:28] Jay McBain: Really high up on that list, actually number one on the list is ultimate partner, Vince. That’s how I met. ’cause I asked people, 10 million people, you love this. You walk your dog, you drive to work, you listen to podcasts. I’m not the biggest podcast fan. It’s not number one on my list, but it’s number one on theirs. [00:16:44] Jay McBain: They say, you know, you gotta meet this guy, Vince. It’s unbelievable how great these podcasts are. They’re ultimate. [00:16:54] Jay McBain: Then I talked to Vince and said, but Vince, you know, 35% of your community, the 10 million people love to come to events like this one. The hallway conversations, the hotel lobby bar last night. This is what we love to do, especially post pandemic. It’s the number one way we learn. We learn from our peers, we learn from those around us, and, and the learn from the conversations we have here. [00:17:17] Jay McBain: We always remember these moments, you know, years and years later. There’s 352 choices. I’m going to five of them this week in five different cities. It’s a lot of coverage, but again, it’s a tighter li list of how people work. The magazine lists 106 of them associations like Conter. Now the GTIA peer groups, there’s 15 different spheres of influence, but only a thousand places. [00:17:43] Jay McBain: I could walk you through billionaire, after billionaire, after billionaire in this industry and show you how they did this. How did Arne Bellini at ConnectWise? How did Austin McCord at Datto, how did Nerdio become a unicorn? How did threat locker and huntress move away from 6,500 cyber companies and become unicorns over and over and over again? [00:18:05] Jay McBain: It’s only one slide. Unicorns and billionaires are made here, and a lot of people don’t get it. So walking away from Bellevue, a thousand partners, top down, a thousand watering holes, bottoms up. You’ve covered a hundred percent of your tam. You do it better than 10% of your competitor, 10% better than your competitors. [00:18:27] Jay McBain: You win. You carry that on your resume into the next company. You get a bigger job at a bigger pay scale. Let’s just walk through some examples. Cyber 91.7% of it goes through the channel. Huge channel audience. You know, if you’re in MarTech, it’s only 10%, but this one happens to be all channel, but that’s not the story. [00:18:48] Jay McBain: For every dollar that the 6,500 cyber companies are trying to close, there’s $2 in services. Plot twist, the products are grown at 11, the services are grown at 12.6. Your partners are growing faster than you are, and they will continue to for the next, at least five years, probably 10. So when I’m here, five years from now, you’ll hear in me talk about a three to one split in cyber and then a four to one split in cyber. [00:19:18] Jay McBain: Now, when we’re in Miami a couple days ago is CrowdStrike, they’re talking about a $7 and 5 cent multiplier, chasing that two to one up higher. You look at managed services. Here’s a fun story. Managed services. 82% of customers who are man, uh, outsourcing more this year than last year. 650 billion in size. [00:19:38] Jay McBain: This is bigger than the entire SaaS industry. Salesforce, ServiceNow, Workday, Marketo, NetSuite, HubSpot, 250,000. Others. This is bigger. It’s also bigger than all the Hyperscalers combined, not just AWS, Microsoft and Google, but Alibaba and Oracle and everybody down the list. This is a massive market also growing at double digits. [00:19:59] Jay McBain: So these are some big things and obviously we’re watching, you know, week in and week out, quarter in, quarter out, the Battle of Software and Battle of the Hyperscalers and things like that, and who’s growing at what pace and, and how partnering is connecting to all of this. You know, we watched a moment really early in the pandemic where Microsoft started growing faster than AWS and they haven’t stopped since 26 straight quarters. [00:20:27] Jay McBain: And you ask customers and say, you know, does Microsoft have a better product? And in most cases they say no. You know, AWS had a five year head start. Well, did they have a better price? Well, no, actually most cases Microsoft’s more expensive. Well, did did they have better promotion? Was their Super Bowl ad better? [00:20:44] Jay McBain: No, they’re both kind of crap. So you kind of ask the questions of what’s the only difference that could create growth above the leader in the market? Well, it’s place. More of the 6.3 partners are walking into those keyboard room meetings and drawing clouds up on the wall and labeling the Microsoft than they are AWS. [00:21:03] Jay McBain: Very simple. It’s never been about product. The best product in our industry has never won. And now the best way forward is that partnering moment, and this is the moment. So to go back to that story about the 53% of companies who are gonna fail, one of us is gonna be asked to write the book. And it could be the book like Kodak, they invented the product that ended up killing them. [00:21:26] Jay McBain: And it’s a woe is me story, but chapter one is always you blame the CEO. How could they not see those trends happening in 2026? How could they, you know, were they blind? Were they stuck in their own, you know, innovation chamber? Innovator’s dilemma, were they stuck in their own boardrooms? Why couldn’t they see? [00:21:46] Jay McBain: Well, chapter two, you, you blame the board. They have fiduciary responsibility, outsider view, and how could they not see it? But really, this is the future right here. If you take this slide and apply it 10 or 20 years from now to every failure and every success, these are the chapters of the book. Your buyer is now a millennial. [00:22:05] Jay McBain: As of last year, the 51% of our market is bought by people born after 1982. Different psychology, different behavior, different journey, different criteria, their integration. First buyers. The buy a product, 80% as good as the next one. If it works better in their environment. 94% of people won’t buy a car unless it has CarPlay or Android Auto. [00:22:26] Jay McBain: New Buyer. You have to be more integrated than your competitors. That’s a partnering story. The 6.3 partners. If you heard cyber, you need some great channel partnerships, but you need the other 5.3 partners as well, the consultants, the advisors, the designers, the architects, the implementers, the integrators, the manner service, all of the other partners. [00:22:44] Jay McBain: You need to know more of them than your competitors do, and have them label clouds with your name in them. You need better alliances. Even if you compete, you only compete in the morning. You’re best friends by the afternoon. You have to be tight with the hyperscalers, tight, with the big SaaS platforms, tight with cyber, tight with distribution, there are layers, seven layers to every deal. [00:23:04] Jay McBain: You gotta be tight in and have better alliances than your competitors. And then it all comes to the 28 moments, which I’m gonna end on, but the go to market of all of this, the co-selling, co-marketing, co-innovation, co-development, co keeping. This is it. Your product has to be good enough that somebody’s gonna renew it. [00:23:21] Jay McBain: Your Super Bowl has to be, you know, ad has to be good enough that people don’t, you know, shame you on social media. Your pricing has to be somewhere in a country mile of the bell curve of what the customer wants to pay. But successor failure is just here and platforms are synonymous with partnering. [00:23:40] Jay McBain: It’s our role now in the decade of the ecosystem to drive our companies forward. Marketplace. It’s probably the most predict, you know, great prediction we ever made. You know, growing at 82% compounded, it’s hard to predict ’cause it doubles almost every year. We were almost exact to the decimal point. Five years later now till 2030, we’re watching a second story, which is more interesting. [00:24:02] Jay McBain: If 96% of all deals have partners inside of them and there’s private offers and multi-partner offers and distributor sellers record all these funding mechanisms or services as a product. As of last week, over 50% of all deals in marketplaces now have partner funding. It means that while money changes hands differently, the respect and the recognition of what partners do is in the deal. [00:24:26] Jay McBain: We think that’s going to 59, but at some point, that’s gonna have to hit 96. ’cause to run the best programs, whether it’s an indirect sale, whether it’s a direct sale, whether it’s a marketplace deal, it doesn’t matter how money changes hands. What matters is we recognize the 6.3 partners. They’re not only making the deal happen bigger and faster, but renewing and enriching that every 30 days forever. [00:24:48] Jay McBain: When we watch, you know, billion dollar clubs and when we read all the press releases and all the hubbub about how fast this is growing and who, which companies are behind all this. When I’m quoted in some of these press releases, it’s because of this. You know, CrowdStrike, you know, brags are a billion dollars in a single year, but inside of that, they’re showing that 91% growth in marketplaces, which is pretty phenomenal for any company to almost double in size every single year. [00:25:17] Jay McBain: What’s more phenomenal is they’re growing the channel piece of it, 3548%. That green part of it is growing. Companies that understand platform and have people and processes and programs and technology to do it are winning. And they’re getting recognition and partners are starting to join the Billion Dollar Club who don’t sell a product, but are also winning at Extreme Scale. [00:25:44] Jay McBain: So talk about those partner 1000 and who are leaning in to win at this level. As well as everything changes, traditional billing moved into subscription models, moved into consumption models. Now we’re being tokenized to death multi it’s, it’s in this mode of micro consumption. There’s no chance there was little chance in subscription consumption that would be resold. [00:26:09] Jay McBain: You don’t buy Netflix from the cable guy in the white van. There’s zero chance when you’re buying tokens at a buck a piece that that’s going through any indirect sale. This continues to grow. Now the tectonic shifts is what happens when money changes hands differently. These old programs that we used to all write hundreds of different boxes, we checked every day on deal reg and trainings and all the other things are changing. [00:26:35] Jay McBain: To this, you’ll get these slides, by the way, in high res, inside of this now is the customer. For the first time ever, 45 years later, we have the customer in the middle of what we do, the 28 moments in green before they buy the seven layer stack and the partners inside it. The implementation. The integration, the managed services in a cycle that never ends, and two thirds of our industry. [00:26:55] Jay McBain: With the customer in the middle, we can now move money around to the different moments. It’s not all landing in front or backend margins or market development funds or new customer bonuses or spiffs. It’s landing where it needs to land. Over 400 companies now, pretty much led by Microsoft 400 companies are in a point system right now and 400 more. [00:27:18] Jay McBain: We’re working kind of behind the scenes to get that announced in the next 12 months. This is a total changeover in terms of how economics work and partners are yelling over half of us. I don’t care. Don’t call me a VAR anymore. Don’t call me an MSP. Don’t call me a regional system integrator. I do the consulting over half the time. [00:27:36] Jay McBain: I do the design, I do the implementations, I do the managed services, and 44% of us are vibe coding. On weekends. We’re not happy. Just on the services side. We wanna join the seven layer tech stack as well. These are partners growing faster than their vendors by understanding this cycle and where to show up and where the money is in ai. [00:27:56] Jay McBain: And the number one thing they’re asking for is not more leads, which they did for 45 years. The number one thing is now recognized for what I do. I’ve never just been a cash register. We’re completely now past this idea of a channel being a channel of distribution, and now a channel being this platform for the future. [00:28:16] Jay McBain: As we lay that on top of ai, the first couple of years of AI has really been consumer driven. The 95% failure rate that MIT reported last year is now 70%. That’s the failure to get from proof of concept to production. That 70 will be 50 by the summer we’re moving now in business, the maturity rates are going up at the end customer and in 88% of cases, that’s because of the channel. [00:28:43] Jay McBain: They’re working with partners. They’re not vibe coding themselves and working in little skunkwork groups. They’re working with partners to make it happen, and it now becomes the partner’s number one growth opportunity. I can grow at 11 or 12% in cyber every year. Compounded I can grow in 10% in managed services. [00:29:03] Jay McBain: You know, those are great double digit growth ’cause my customers are growing at 2.7% and I can go four x my customer, but I can go 10 x my customer if I have the right services built around ai. And this compounded growth rate and that big number in 2 20 32, 267 is what’s got those top 1000 partners obsessed. [00:29:25] Jay McBain: And your companies are leading with ai. Now you need to connect to those AI services. You need to get partners on this scale of growth. And they will be adding your name inside every cloud. They write on every whiteboard, but 82% of partners around the world, you know, we survey 25,000 of them aren’t ready, and they’re blaming vendors for not being ready, and they’re telling them exactly the workshops and the training that they need to get ready for this cycle. [00:29:53] Jay McBain: 82% of our entire partner, tens of millions of people, aren’t ready to grow at 35% and they need our help. Last thing I’ll say about AI is it’s the first time from client server to cloud, edge to cloud that it’s been segment driven. SMB alone has one, you know, six different segments, one to nine, 10 to 24, 25 to 49, et cetera. [00:30:18] Jay McBain: Mid-market into enterprise. No one that runs a restaurant is calling Jensen to buy a GPU to put next to the stove. No one’s calling Sam or Dario or anyone at Anthropic or OpenAI directly. They’re waiting. If you run a restaurant with all the people running around with tablets, you’ve invested in toast or square or clover or one of the platforms to run your business. [00:30:41] Jay McBain: A hundred different things. And you’re gonna wait for toast to work with a hyperscaler and build out the capabilities genetically. So when they see a spike in Uber Eats orders, they automatically place a food order and automatically change the staffing to deliver on it. That’s what the restaurant’s waiting for, and there’s no one calling and having a big a agent conversation. [00:31:03] Jay McBain: But even if you go into hundreds of people in medium sized business, every one of the vice presidents have their tech stack already built. I talked about the marketing person already, but the HR leader has one, and everybody’s got their seven layer stack. They’re not calling to buy a GPU and they’re not calling to, you know, bring in open AI directly or, or anthropic. [00:31:22] Jay McBain: They’re waiting for the platform they built to integrate together ag agenta capabilities. Everybody’s in wait mode up until enterprise and public, large public sector. So we are looking at this market and at 90% of that AI market is run by those thousand companies, and the rest of the millions of partners are helping in terms of how these businesses are gonna change at that level. [00:31:46] Jay McBain: Here’s where I end. You know, the 28 moments used to be a theory. It used to be a flywheel. How do we buy a car? [00:31:55] Vince Menzione: Well, we Google it, [00:31:57] Jay McBain: 81% of us now, 94% of us use large language models. We find out that there’s 365 brands of car. I’d have to test drive one every day of the year to get through them all. So we start narrowing these things down. [00:32:09] Jay McBain: We configure it. We put our rims on it, we color it. We download the invoice price. We download the backend rebates this month, whether I buy it in May or June, we find out what 5,000 people paid for our exact car within 50 miles of us. And then we don’t wanna go to the dealer because we know more than the salesperson, the manager ever will. [00:32:26] Jay McBain: We know what we’re gonna pay within, you know, dollars or cents. Just carvana the car. Hand me the keys. Let’s just forget the whole eight hour back and forth. I’ll get you a deal thing. I’m smarter than you in technology. Our customers are smarter than us, smarter than salespeople. That’s why 75% of millennials don’t wanna talk to a salesperson. [00:32:48] Jay McBain: They want to end digitally, and by the way, they’re not gonna send a fax after 28 digital moments. They’re gonna end on a digital marketplace. This is all demographics. It’s not hard to see where it’s going, but we’re getting into names, faces, places again. What if every dollar of your tam, the board, the CEO, runs around with their big multi-billion dollar number, they’re chasing? [00:33:09] Jay McBain: What if every single deal looks the exact same? This is a deal with AstraZeneca, A real deal, real customer spending millions of dollars. We know it starts in October, it ends in April. It’s a six month cycle. We see what they read, the MQ ls at the beginning. We see the sales demo moments. We see ISV, but we’ve never had the light blue boxes. [00:33:30] Jay McBain: What if we as a team could overlay the 6.3 partners in this deal? And when you find out a couple things. Here’s where I end. In December, five deals were one, three of them by NTT. The person at NTT probably coaches AstraZeneca’s, you know, kids’ soccer team. They probably have a cottage together at the lake. [00:33:50] Jay McBain: For the last 20 years, if the person at NTT worked at Deloitte, Deloitte would’ve run this deal. But Software One and Yash are both there, so we understand that when they were drawing clouds up on the wall in the boardroom in December, this deal was won and lost there. It was not won and lost at the point of sale. [00:34:09] Jay McBain: So what if you knew more about this and could see every dollar in your tam? You had an early warning system that this was happening. Two things jump out at this now that we’re in Bellevue. AWS was touched twice in this deal, directly in the marketing cycle and the sales cycle. AWS lost this deal. Here’s an example of Microsoft winning a deal with Microsoft never being touched. [00:34:34] Jay McBain: For some reason, NTT who won, who won AWS’s partner of the year a couple years ago led with Microsoft, so did Software one, Microsoft’s biggest reseller in Europe, and as did Yash, they all led with Microsoft and without Microsoft, knowing Microsoft took a multimillion dollar deal away from their competitors by winning in December. [00:34:53] Jay McBain: That’s one. Second. These partners didn’t just show up other than soccer and cottages. They didn’t show up in December. It went closed one in their CRM system. Back in the summer, August, September, we already knew AstraZeneca was in market, spending millions of dollars. We didn’t need them to read an ebook or go to an event to find that out. [00:35:17] Jay McBain: We knew it because it was closed one. They’re spending hundreds of thousands of dollars times five in December to know what to do at the end. This is an early warning system that’s better than any MQL, better than any SQL. And if you could give your company these level of view into their pipeline with an early warning system that I can work with those partners for months before they ever show up at the customer’s boardroom. [00:35:44] Jay McBain: This is it. Talk about 47% winners. This takes you from not only surviving the AI era to being a top five platform winner. Thank you very much. [00:36:01] Vince Menzione: Until next time, we’ll see you in person. Hopefully at our next event.
The Cybercrime Wire, hosted by Scott Schober, provides boardroom and C-suite executives, CIOs, CSOs, CISOs, IT executives and cybersecurity professionals with a breaking news story we're following. If there's a cyberattack, hack, or data breach you should know about, then we're on it. Listen to the podcast daily and hear it every hour on WCYB. The Cybercrime Wire is brought to you Cybercrime Magazine, Page ONE for Cybersecurity at https://cybercrimemagazine.com. • For more breaking news, visit https://cybercrimewire.com
AI vulnerability discovery just upended the legendary Capture the Flag competitions, leaving top hackers sidelined while algorithms dominate the scoreboard. Hear why one seasoned researcher says the entire game is over for humans. As expected, UnFiOS devices are under attack. CISA commands federal agencies to update Drupal. Can the largest botnet ever, be killed. Defender endpoint can cutoff a PC from the network. Charter Communications big account leak. Chrome moves device-bound session cookies from beta. Anthropic to release Mythos shortly. cURL and Daniel Stenberg. IBM & RedHat commit to fixing open source with AI. LOTS of terrific listener feedback this week. AI spells the end of a terrific source of training Show Notes - https://www.grc.com/sn/SN-1081-Notes.pdf Hosts: Steve Gibson and Leo Laporte Download or subscribe to Security Now at https://twit.tv/shows/security-now. You can submit a question to Security Now at the GRC Feedback Page. For 16kbps versions, transcripts, and notes (including fixes), visit Steve's site: grc.com, also the home of the best disk maintenance and recovery utility ever written Spinrite 6. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: bitwarden.com/twit hoxhunt.com/securitynow zscaler.com/security material.security meter.com/securitynow
On this week's show special guest co-host Andy Boyd joins Patrick Gray and James Wilson to discuss the week's cybersecurity news. Andy is the CEO of REDLattice, which makes the Paragon “intelligence collection and reconnaissance” solution. They cover: Adversaries are tracking US troop locations with commercially available location data A new Signal phishing campaign is going after message backups 404 Media is suing ICE to get its spyware contract with REDLattice (lol) Microsoft's tone-deaf response to ‘never justifiable' zero-day disclosures Mini Shai-Hulud pops up again just as Glassworm gets shattered Much, much more This week's episode is sponsored by Authentik, an open source identity platform that you can host yourself. In this week's sponsor interview Authentik's CEO Fletcher Heisler joins Patrick Gray to talk about how they're keeping up with the bugpocalypse, and also the work they're doing to support identities for AI agents. This episode is also available on YouTube. Show notes The Pentagon Knew Enemies Could Track Troops' Phones for Years. Now They Are | wired.com U.S. says troops were targeted with location data, as senator warns ad industry is a ‘national security threat' | TechCrunch Security DOD location data attachment (Wyden) | Risky Business #830 -- LiteLLM and security scanner supply chains compromised | Risky Business Media US has seized nearly $1 billion in crypto from Iran, Bessent says | Russia claims foreign spy agencies hacked officials' phones | therecord.media Hackers are trying to steal Signal users' backups in new wave of phishing attacks | TechCrunch Security We Sued ICE to Get Its Spyware Contract. The Agency Is Redacting Essentially Everything | Social Signals Microsoft calls zero-day releases ‘never justifiable' as researcher threatens to drop more | therecord.media A shared responsibility: Protecting customers through Coordinated Vulnerability Disclosure | Social Signals Microsoft says it will not pursue security researchers after zero-day backlash | therecord.media IBM's new $5B initiative will help enterprises rapidly patch open-source vulnerabilities | Social Signals Federal audit reveals NIST's NVD is plagued by poor planning and duplication | cyberscoop.com Hackers Used Meta's AI Support Bot to Seize Instagram Accounts | krebsonsecurity.com Critical Windows Netlogon RCE flaw now exploited in attacks | BleepingComputer CISA adds exploited Palo Alto Networks GlobalProtect flaw to KEV | Cybersecurity Dive Password manager Dashlane says hackers stole some customers' password vaults | TechCrunch Security CrowdStrike disrupts Glassworm botnet that preyed on open-source supply chain | cyberscoop.com Botnet of more than 17 million devices dismantled | arstechnica.com Chinese-speaking fraud gang could be stealing millions from 2026 World Cup fans | therecord.media ACCC investigating Olympics ticket scam | ABC Dozens of Red Hat packages backdoored through its offical NPM channel | arstechnica.com Solo podcast: A deep dive on TeamPCP - Risky Business Media | Trump administration releases scaled-back AI executive order | cyberscoop.com Google security engineer accused of turning confidential search trends into $1.2M win on Polymarket | cyberscoop.com
AI vulnerability discovery just upended the legendary Capture the Flag competitions, leaving top hackers sidelined while algorithms dominate the scoreboard. Hear why one seasoned researcher says the entire game is over for humans. As expected, UnFiOS devices are under attack. CISA commands federal agencies to update Drupal. Can the largest botnet ever, be killed. Defender endpoint can cutoff a PC from the network. Charter Communications big account leak. Chrome moves device-bound session cookies from beta. Anthropic to release Mythos shortly. cURL and Daniel Stenberg. IBM & RedHat commit to fixing open source with AI. LOTS of terrific listener feedback this week. AI spells the end of a terrific source of training Show Notes - https://www.grc.com/sn/SN-1081-Notes.pdf Hosts: Steve Gibson and Leo Laporte Download or subscribe to Security Now at https://twit.tv/shows/security-now. You can submit a question to Security Now at the GRC Feedback Page. For 16kbps versions, transcripts, and notes (including fixes), visit Steve's site: grc.com, also the home of the best disk maintenance and recovery utility ever written Spinrite 6. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: bitwarden.com/twit hoxhunt.com/securitynow zscaler.com/security material.security meter.com/securitynow
AI vulnerability discovery just upended the legendary Capture the Flag competitions, leaving top hackers sidelined while algorithms dominate the scoreboard. Hear why one seasoned researcher says the entire game is over for humans. As expected, UnFiOS devices are under attack. CISA commands federal agencies to update Drupal. Can the largest botnet ever, be killed. Defender endpoint can cutoff a PC from the network. Charter Communications big account leak. Chrome moves device-bound session cookies from beta. Anthropic to release Mythos shortly. cURL and Daniel Stenberg. IBM & RedHat commit to fixing open source with AI. LOTS of terrific listener feedback this week. AI spells the end of a terrific source of training Show Notes - https://www.grc.com/sn/SN-1081-Notes.pdf Hosts: Steve Gibson and Leo Laporte Download or subscribe to Security Now at https://twit.tv/shows/security-now. You can submit a question to Security Now at the GRC Feedback Page. For 16kbps versions, transcripts, and notes (including fixes), visit Steve's site: grc.com, also the home of the best disk maintenance and recovery utility ever written Spinrite 6. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: bitwarden.com/twit hoxhunt.com/securitynow zscaler.com/security material.security meter.com/securitynow
AI vulnerability discovery just upended the legendary Capture the Flag competitions, leaving top hackers sidelined while algorithms dominate the scoreboard. Hear why one seasoned researcher says the entire game is over for humans. As expected, UnFiOS devices are under attack. CISA commands federal agencies to update Drupal. Can the largest botnet ever, be killed. Defender endpoint can cutoff a PC from the network. Charter Communications big account leak. Chrome moves device-bound session cookies from beta. Anthropic to release Mythos shortly. cURL and Daniel Stenberg. IBM & RedHat commit to fixing open source with AI. LOTS of terrific listener feedback this week. AI spells the end of a terrific source of training Show Notes - https://www.grc.com/sn/SN-1081-Notes.pdf Hosts: Steve Gibson and Leo Laporte Download or subscribe to Security Now at https://twit.tv/shows/security-now. You can submit a question to Security Now at the GRC Feedback Page. For 16kbps versions, transcripts, and notes (including fixes), visit Steve's site: grc.com, also the home of the best disk maintenance and recovery utility ever written Spinrite 6. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: bitwarden.com/twit hoxhunt.com/securitynow zscaler.com/security material.security meter.com/securitynow
Software Engineering Radio - The Podcast for Professional Software Developers
Dave Airlie, a Distinguished Engineer at Red Hat, speaks with host Gregory M. Kapfhammer about Linux kernel maintenance. After over-viewing the scale and structure of the Linux kernel, they dive deep into the review and validation of kernel patches, drawing on examples from the GPU subsystem. After discussing the features and benefits of the Linux kernel's maintenance model, they also explore kernel maintenance best practices and the supporting tools for these practices. Dave and Gregory also discuss topics such as the integration of Rust code in the Linux kernel and the ways in which AI-driven code review are influencing kernel maintenance.
AI vulnerability discovery just upended the legendary Capture the Flag competitions, leaving top hackers sidelined while algorithms dominate the scoreboard. Hear why one seasoned researcher says the entire game is over for humans. As expected, UnFiOS devices are under attack. CISA commands federal agencies to update Drupal. Can the largest botnet ever, be killed. Defender endpoint can cutoff a PC from the network. Charter Communications big account leak. Chrome moves device-bound session cookies from beta. Anthropic to release Mythos shortly. cURL and Daniel Stenberg. IBM & RedHat commit to fixing open source with AI. LOTS of terrific listener feedback this week. AI spells the end of a terrific source of training Show Notes - https://www.grc.com/sn/SN-1081-Notes.pdf Hosts: Steve Gibson and Leo Laporte Download or subscribe to Security Now at https://twit.tv/shows/security-now. You can submit a question to Security Now at the GRC Feedback Page. For 16kbps versions, transcripts, and notes (including fixes), visit Steve's site: grc.com, also the home of the best disk maintenance and recovery utility ever written Spinrite 6. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: bitwarden.com/twit hoxhunt.com/securitynow zscaler.com/security material.security meter.com/securitynow
AI vulnerability discovery just upended the legendary Capture the Flag competitions, leaving top hackers sidelined while algorithms dominate the scoreboard. Hear why one seasoned researcher says the entire game is over for humans. As expected, UnFiOS devices are under attack. CISA commands federal agencies to update Drupal. Can the largest botnet ever, be killed. Defender endpoint can cutoff a PC from the network. Charter Communications big account leak. Chrome moves device-bound session cookies from beta. Anthropic to release Mythos shortly. cURL and Daniel Stenberg. IBM & RedHat commit to fixing open source with AI. LOTS of terrific listener feedback this week. AI spells the end of a terrific source of training Show Notes - https://www.grc.com/sn/SN-1081-Notes.pdf Hosts: Steve Gibson and Leo Laporte Download or subscribe to Security Now at https://twit.tv/shows/security-now. You can submit a question to Security Now at the GRC Feedback Page. For 16kbps versions, transcripts, and notes (including fixes), visit Steve's site: grc.com, also the home of the best disk maintenance and recovery utility ever written Spinrite 6. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: bitwarden.com/twit hoxhunt.com/securitynow zscaler.com/security material.security meter.com/securitynow
This week Mike McGrath from Red Hat joins us to talk about using Red Hat to talk about the relationship RHEL and their up-streams. -- During The Show -- 00:45 Intro IT at home Wrangling home "data center" Noah's old strategy Shoe makers kids have no shoes Snowballing tech Backups - pull vs push Making things modular 11:10 Interesting Tech - Carey TRMNL Mecha Comet GPD Micro PC 2 Value of pocket PCs 22:30 Shelly Devices and UL rated - Mike UL Ratings Pay attention to what you buy Many Shelly devices are UL listed UL listed Shelly devices are ~20% more expensive "Harbor Freight" answer 28:30 Red Hat Vulnerabilities Discovered and locked down in a few hours Assume breach, change everything Has worm like functionality Bypassed 2FA Multiple persistence methods Heavily obfuscated stepsecurity.io 36:45 Interview Mike McGrath Mike McGrath - Vice President, Core Platforms RHEL AI vs OpenShift AI What did Red Hat get wrong and right over the last few years Is AI a threat to open source? Does going closed source actually solve anything? CVEs Mechanisms for community influence on RHEL What are RHEL security best practices? Quantum safe encryption Install as little as possible Image mode Project Hummingbird RHEL Forever CentOS Stream and RHEL What is an upside of CentOS Stream? -- The Extra Credit Section -- For links to the articles and material referenced in this week's episode check out this week's page from our podcast dashboard! This Episode's Podcast Dashboard Phone Systems for Ask Noah provided by Voxtelesys Join us in our dedicated chatroom #GeekLab:linuxdelta.com on Matrix -- Stay In Touch -- Find all the resources for this show on the Ask Noah Dashboard Ask Noah Dashboard Need more help than a radio show can offer? Altispeed provides commercial IT services and they're excited to offer you a great deal for listening to the Ask Noah Show. Call today and ask about the discount for listeners of the Ask Noah Show! Altispeed Technologies Contact Noah live [at] asknoahshow.com -- Twitter -- Noah - Kernellinux Ask Noah Show Altispeed Technologies Special Guest: Mike McGrath.
Cybersecurity Today for June 2, 2026. Microsoft has backed away from its hard-line stance against vulnerability researchers after widespread criticism from the security community. The dispute began after independent researcher Nightmare Eclipse published proof-of-concept code for unpatched Microsoft vulnerabilities, triggering a public debate over responsible disclosure, zero-days, and researcher relations. Cybersecurity Today would like to thank Material Security for sponsoring this podcast. Material Security provides faster, more complete detection and response for email, identity, and data threats inside Google Workspace and Microsoft 365. You can contact them at material[dot]security. Carnival Corporation disclosed a social-engineering attack that led to the theft of sensitive personal information affecting nearly six million people. Exposed data includes names, contact information, dates of birth, and government identification details. The ShinyHunters cybercrime group has claimed responsibility and alleges the breach involved even more records. Password manager provider Dashlane temporarily locked some customers out of their accounts after large-scale password-guessing attacks triggered automated security protections. Access was later restored, although some users reported lingering issues. The episode also examines a software supply-chain attack uncovered by Wiz involving 32 Red Hat Cloud Services NPM packages. Attackers compromised a Red Hat employee's GitHub account and inserted Miasma malware designed to steal Google Cloud and Microsoft Azure credentials. Timestamps: 00:00 Sponsor Message 00:28 Headlines And Intro 00:55 Microsoft Researcher Dispute 02:58 Carnival Cruise Data Breach 04:48 Dashlane Lockouts Explained 06:09 Miasma Malware Supply-Chain Attack 08:10 Wrap Up And Sign Off 08:31 Sponsor Deep Dive #Cybersecurity #DataBreach #Carnival #Microsoft #Dashlane #RedHat #SupplyChainAttack #CyberSecurityToday
A federal watchdog questions NIST over its vulnerability database backlog. Google patches an Android zero-day. Citizen Lab exposes a powerful location-tracking platform. Malware hides commands in Steam comments. Researchers spot AI-assisted malware development. Attackers compromise Red Hat's npm namespace. DriveSurge spreads malware through ClickFix and fake updates. FreePBX patches a critical flaw. And Dashlane responds to a brute-force attack. Our guest is Laure Lydon, Opening Chair for Infosecurity Europe and VP of Security and Infrastructure, Flo Health, sharing her expertise on digital health platforms. Meta's AI support bot proves a bit too eager to help. Remember to leave us a 5-star rating and review in your favorite podcast app. Miss an episode? Sign-up for our daily intelligence roundup, Daily Briefing, and you'll never miss a beat. And be sure to follow CyberWire Daily on LinkedIn. CyberWire Guest Today, Maria Varmazis speaks with Laure Lydon, Opening Chair for Infosecurity Europe and VP of Security and Infrastructure, Flo Health, sharing her expertise on privacy, security, and trust in digital health platforms, especially in sensitive areas like women's health. This interview is part of our partnership with Infosecurity Europe. Selected Reading Inspector general finds NIST mistakes have made vulnerability database ineffective (The Record) Google fixes one actively exploited Android zero-day, 124 flaws (Bleeping Computer) Uncovering Webloc: An Analysis of Penlink's Ad-based Geolocation Surveillance Tech (The Citizen Lab) GoDaddy found malware on 1,980 WordPress sites using Steam as C2 infrastructure (Security Affairs) Threat Actor Uses AI to Build EDR Evasion Tools (Infosecurity Magazine) Attackers Hijack Red Hat npm Scope to Steal Cloud Secrets (Infosecurity Magazine) Hackers hijack thousands of sites for ClickFix and FakeUpdate attacks (Bleeping Computer) Critical Hard-Coded Credentials Vulnerability in FreePBX User Control Panel (Beyond Machines) Dashlane password manager users locked out by brute force attacks (Bleeping Computer) Hackers Simply Asked Meta AI to Give Them Access to High-Profile Instagram Accounts. It Worked (404 Media) Share your feedback. What do you think about CyberWire Daily? Please take a few minutes to share your thoughts with us by completing our brief listener survey. Thank you for helping us continue to improve our show. Want to hear your company in the show? N2K CyberWire helps you reach the industry's most influential leaders and operators, while building visibility, authority, and connectivity across the cybersecurity community. Learn more at sponsor.thecyberwire.com. The CyberWire is a production of N2K Networks, your source for strategic workforce intelligence. © N2K Networks, Inc. Learn more about your ad choices. Visit megaphone.fm/adchoices
SANS Internet Stormcenter Daily Network/Cyber Security and Information Security Stormcast
Unidentified RAT pushes NetSupport RAT https://isc.sans.edu/diary/Unidentified%20RAT%20pushes%20NetSupport%20RAT/33034 CVE-2026-41089: Windows Netlogon Vulnerability Exploited https://ccb.belgium.be/advisories/warning-microsoft-patch-tuesday-may-2026-patches-118-vulnerabilities-16-critical-102 RedHat npm Packages Affected https://www.aikido.dev/blog/red-hat-npm-packages-compromised-credential-stealing-worm Dashlane Locking Accounts after Brute Force https://status.dashlane.com/pages/5aabcb89fccc4b04d3774443 My Upcoming Classes https://www.sans.org/profiles/dr-johannes-ullrich
Plus: IBM and Red Hat commit $5 billion for open source security initiative. And Snowflake signs $6 billion deal to buy Amazon chips. Imani Moise hosts. Learn more about your ad choices. Visit megaphone.fm/adchoices
SUMMARY: Brian Gracely (@bgracely) and Brandon Whichard (@bwhichard, Software Defined Talk and Failover Media) discuss the biggest AI news stories from the month of May, 2026. SHOW: 1031SHOW TRANSCRIPT: The Reasoning Show #1031 TranscriptSHOW VIDEO: https://youtu.be/MNihDdBSteISHOW SPONSORS:Nasuni - Activate your data for AI and request a demoShareGate - ShareGate Protect. Microsoft 365 Governance, we got this!SHOW NOTES:Links to all the AI News covered in this month's showFEEDBACK?Email: show @ the enterprise ai show dot comeBluesky: @TheEntAIShow.bsky.socialTwitter/X: @TheEntAIShowInstagram: @TheEntAIShow
Fedora Hummingbird, RHEL Forever, and Red Hat's AI play: three big Summit takeaways, and why they matter far beyond Red Hat.Sponsored By:Jupiter Party Annual Membership: Put your support on automatic with our annual plan, and get one month of membership for free!Managed Nebula: Meet Managed Nebula from Defined Networking. A decentralized VPN built on the open-source Nebula platform that we love.Support LINUX UnpluggedLinks:
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