Podcasts about CTO

To understand how much to spend on cybersecurity, you have to accurately assess or quantify your risks. Too many people still peg their cybersecurity spend to their IT budget; that is, they’ll look at what they’re spending on IT, and then allocate a percentage of that to cybersecurity. That may have made some sense when... Read more »

With the annual trend of fluctuating reimbursement rates, have you been on the fence about turning your OBL into an ASC? Make sure your OBL is prepared for the surprising changes in coding coming in 2026. In this episode, Dr. Mary Costantino partners with fellow OBL owner Dr. Goke Akinwande and revenue cycle management expert Laurie Bouzarelos to review the new CPT code changes and how they translate to OBL and ASC reimbursement.---SYNPOSISDr. Akinwande discusses many positive takeaways after diving into the recent Medicare documents, and highlights key shifts. He believes these changes to add-on codes and territories means one thing: CLI is being heard. The upcoming code changes improve delineation of vascular territories, differentiating between "simple" (stenosis) and "complex" (CTO) procedures. These changes are aimed at rewarding physicians performing the difficult CLI work while decreasing reimbursement for more straightforward cases.Beyond the CPT code specifics, the conversation also covers real-world implications for OBL owners. Dr. Akinwande explains why these changes might narrow the reimbursement gap between OBLs and ASCs, prompting him to warn against ASC conversion. Laurie Bouzarelos provides guidance on implementation, stressing the importance of updating charge masters, reviewing payer contracts for "gap fill" clauses, and monitoring payments once the new codes go live. The episode ends with a discussion on obstacles in billing, collections, and the need for physicians to master the business side of their practice to ensure financial success.---TIMESTAMPS00:00 - Introduction04:37 - 2026 CPT Changes Overview07:18 - Simple vs. Complex Codes13:16 - Key Add-on Codes19:52 - OBL vs. ASC Conversion?24:56 - IVL Reimbursement Trends29:18 - Update Your Charge Master41:41 - Pricing & Medicare Year46:39 - Billing & Collections Reality

Sourabh Satish, CTO and co-founder of Pangea, speaks with SE Radio's Brijesh Ammanath about prompt injection. Sourabh begins with the basic concepts underlying prompt injection and the key risks it introduces. From there, they take a deep dive into the OWASP Top 10 security concerns for LLMs, and Sourabh explains why prompt injection is the top risk in this list. He describes the $10K Prompt Injection challenge that Pangea ran, and explains the key learnings from the challenge. The episode finishes with discussion of specific prompt-injection techniques and the security guardrails used to counter the risk. Brought to you by IEEE Computer Society and IEEE Software magazine.

A speculative but grounded discussion on how companies should be restructuring their R&D and product teams today to capitalize on a future with highly capable agents.Welcome to AI Unraveled, Your daily briefing on the real world business impact of AI.Today, we go beyond the immediate quarter and focus on long-term strategic survival.When you operate at the executive level, you know the competitive "moat" built on data or scale is dissolving. This special episode is dedicated to the most critical question facing every CTO and investor: What happens after AGI?We're breaking down the article, "Beyond Moats: Analyzing the Next Wave of Post-AGI Business Models." We reveal how competitive advantage shifts entirely, forcing companies to pivot from gathering data to structuring proprietary workflows and coordinating autonomous agent fleets.This is not a theoretical discussion; it is a roadmap for future proofing your enterprise.Before we dive in, we have a critical message for the enterprise builders listening:

Idag gästar grymma Alexander Ekdahl, CTO på Algorithma, för att diskutera om hur AI-agenter kan bli våra nya digitala kollegor. Hur fungerar egentligen multi-agent-system, och varför kan de förändra hur vi samarbetar, kommunicerar och organiserar arbete? "Vi gillar liknelsen med digitala kollegor eftersom det tar bort tekniktänket runt AI och istället fokuserar på vad den faktiskt kan göra." Missa inte ett grymt avsnitt! Prenumerera på podden och följ oss på instagram!

Today on the ThinkData Podcast, I am joined by Art Rivillis, CTO and Co-Founder of Augment, the company behind auggie — an AI teammate built to automate complex workflows in logistics.We explored how Augment is transforming one of the world's most operationally challenging industries, what it takes to build reliable automation that humans actually trust, and the lessons Art has learned scaling a fast-growing AI startup from the ground up.Episode Outline / Talking PointsThe origin of Augment — what inspired the creation of an AI teammate for logistics.Finding product–market fit — the early signals that proved Augment was solving a real pain point.Building trust in automation — how to win over operators in a traditional, process-heavy industry.Scaling the team and tech — balancing rapid growth with product reliability.Short-term vs. long-term AI innovation — how Augment prioritizes both.Key customer moments — wins that validated the company's visionThe future of logistics — the AI breakthroughs that will reshape the industry over the next 3–5 years.

As customers try to figure out how to present data to Agentic AI applications, many of them are realizing that it's time for the storage infrastructure team to step up and take a seat at the table. In this episode of Utilizing Tech, recorded live at NetApp Insight in Las Vegas, hosts Stephen Foskett and Guy Currier from The Futurum Group sit down with Ingo Fuchs, Chief Technologist for AI at NetApp, to explore the critical role of data infrastructure in supporting enterprise AI and agentic AI applications. As organizations move AI workloads into production, traditional infrastructures—especially storage teams—must take a more active role in enabling performance, efficiency, and governance. Ingo emphasizes the emerging needs for data quality, control, compliance, and currency, particularly as AI agents begin making decisions and interacting with sensitive enterprise data. The conversation highlights how NetApp's capabilities, such as AI Data Engine and native infrastructure integrations, enable real-time data pipeline management, enforce guardrails, and ensure consistent and secure data delivery. This shift represents a transformative intersection of storage, infrastructure, and AI operations, paving the way for scalable and reliable enterprise AI solutions.'Guest: Ingo Fuchs, Chief Technologist of AI at NetAppHosts: ⁠⁠⁠⁠⁠⁠⁠⁠Stephen Foskett⁠⁠⁠⁠⁠⁠⁠⁠, President of the Tech Field Day Business Unit and Organizer of the ⁠⁠⁠⁠⁠⁠⁠⁠Tech Field Day Event Series⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Frederic Van Haren⁠⁠⁠⁠, Founder and CTO of HighFens, Inc. ⁠⁠⁠⁠Guy Currier⁠⁠⁠⁠, Chief Analyst at Visible Impact, The Futurum Group.For more episodes of Utilizing Tech, head to ⁠⁠⁠⁠⁠⁠⁠⁠the dedicated website⁠⁠⁠⁠⁠⁠⁠⁠ and follow the show ⁠⁠⁠⁠⁠⁠⁠⁠on X/Twitter⁠⁠⁠⁠⁠⁠⁠⁠, ⁠⁠⁠⁠⁠⁠⁠⁠on Bluesky⁠⁠⁠⁠⁠⁠⁠⁠, and ⁠⁠⁠⁠⁠⁠⁠⁠on Mastodon⁠⁠⁠⁠⁠⁠⁠⁠.

"5G is becoming a great enabler for industries, enterprises, in-building connectivity and a variety of use cases, because now we can provide both the lowest latency and the highest bandwidth possible,” states Ganesh Shenbagaraman, Radisys Head of Standards, Regulatory Affairs & Ecosystems.In the recent episode of the Tech Transformed podcast, Shubhangi Dua, Podcast Host, Producer, and Tech Journalist at EM360Tech, speaks to Shenbagaraman about 5G and edge computing and how they power private networks for various industries, from manufacturing, national security to space.The Radisys' Head of Standards believes in the idea of combining 5G with edge computing for transformative enterprise connectivity. If you're a CEO, CIO, CTO, or CISO facing challenges of keeping up the pace with capacity, security and quality, this episode is for you. The speakers provide a guide on how to achieve next-gen private networks and prepare for the 6G future. Real-Time ControlThe growing need for real-time applications, such as high-quality live video streams and small industrial sensors with instant responses, demands data processing to occur closer to the source than ever before. Alluding to the technical solution that provides near-zero latency and ensures data security, Shenbagaraman says:"By placing the 5G User Plane Function (UPF) next to local radios, we achieve near-zero latency between wireless and application processing. This keeps sensitive data secure within the enterprise network."Such a strategy has now become imperative in handling both high-volume and mission-critical low-latency data all at the same time. Radisys addresses key compliance and confidentiality issues by storing the data within a private network. Essentially, they create a safe security framework that yields near-zero latency to guarantee utmost data security.Powering Edge Computing ApplicationsThe real-world benefit of this zero-latency setup is the power it gives to edge computing applications. As the user plane function is the network's final data exit point, positioning the processing application near it assures prompt perspicuity and action."The devices could be sending very domain-specific data,” said Shenbagaraman. “The user plane function immediately transfers it to the application, the edge application, where it can be processed in real time."It reduces errors and improves the efficiency of tasks through the Radisys platform, with the results meeting all essential requirements, including compliance needs.One such successful use case spotlighted in the podcast is the Radisys work with Lockheed Martin's defence applications. "We enabled sophisticated use cases for Lockheed Martin by leveraging the underlying flexibility of 5G,” the Radisys speaker exemplified. Radisys team customised 5G connectivity for the US defence sector. It incorporated temporary, ad-hoc networks in challenging terrains using Internet Access Backhaul. It also covered isolated, permanent private networks for locations such as maintenance...

Dhanji R. Prasanna is the chief technology officer at Block (formerly Square), where he's managed more than 4,000 engineers over the past two years. Under his leadership, Block has become one of the most AI-native large companies in the world. Before becoming CTO, Dhanji wrote an “AI manifesto” to CEO Jack Dorsey that sparked a company-wide transformation (and his promotion to CTO).We discuss:1. How Block's internal open-source agent, called Goose, is saving employees 8 to 10 hours weekly2. How the company measures AI productivity gains across technical and non-technical teams3. Which teams are benefiting most from AI (it's not engineering)4. The boring organizational change that boosted productivity even more than AI tools5. Why code quality has almost nothing to do with product success6. How to drive AI adoption throughout an organization (hint: leadership needs to use the tools daily)7. Lessons from building Google Wave, Google+, and other failed products—Brought to you by:Sinch—Build messaging, email, and calling into your product: https://sinch.com/lennyFigma Make—A prompt-to-code tool for making ideas real: https://www.figma.com/lenny/Persona—A global leader in digital identity verification: https://withpersona.com/lenny—Where to find Dhanji R. Prasanna:• LinkedIn: https://www.linkedin.com/in/dhanji/—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: https://twitter.com/lennysan• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/—In this episode, we cover:(00:00) Introduction to Dhanji(05:26) The AI manifesto: convincing Jack Dorsey(07:33) Transforming into a more AI-native company(12:05) How engineering teams work differently today(15:24) Goose: Block's open-source AI agent(20:18) Measuring AI productivity gains across teams(21:38) What Goose is and how it works(32:15) The future of AI in engineering and productivity(37:42) The importance of human taste(40:10) Building vs. buying software(44:08) How AI is changing hiring and team structure(53:45) The importance of using AI tools yourself before deploying them(55:13) How Goose helped solve a personal problem with receipts(58:01) What makes Goose unique(59:57) What Dhanji wishes he knew before becoming CTO(01:01:49) Counterintuitive lessons in product development(01:04:56) Why controlled chaos can be good for engineering teams(01:08:07) Core leadership lessons(01:13:36) Failure corner(01:15:50) Lightning round and final thoughts—Referenced:• Jack Dorsey on X: https://x.com/jack• Block: https://block.xyz/• Square: https://squareup.com/• Cash App: https://cash.app/• What is Conway's Law?: https://www.microsoft.com/en-us/microsoft-365-life-hacks/organization/what-is-conways-law#• Goose: https://github.com/block/goose• Gosling: https://github.com/block/goose-mobile• Salesforce: https://www.salesforce.com/• Snowflake: https://www.snowflake.com/• Claude: https://claude.ai/• Anthropic co-founder on quitting OpenAI, AGI predictions, $100M talent wars, 20% unemployment, and the nightmare scenarios keeping him up at night | Ben Mann: https://www.lennysnewsletter.com/p/anthropic-co-founder-benjamin-mann• OpenAI: https://openai.com/• OpenAI's CPO on how AI changes must-have skills, moats, coding, startup playbooks, more | Kevin Weil (CPO at OpenAI, ex-Instagram, Twitter): https://www.lennysnewsletter.com/p/kevin-weil-open-ai• Llama: https://www.llama.com/• Cursor: https://cursor.com/• The rise of Cursor: The $300M ARR AI tool that engineers can't stop using | Michael Truell (co-founder and CEO): https://www.lennysnewsletter.com/p/the-rise-of-cursor-michael-truell• Top Gun: https://www.imdb.com/title/tt0092099/• Lenny's vibe-coded Lovable app: https://gdoc-images-grab.lovable.app/• Afterpay: https://github.com/afterpay• Bitkey: https://bitkey.world/• Proto: https://github.com/proto-at-block• Brad Axen on LinkedIn: https://www.linkedin.com/in/bradleyaxen/• Databricks: https://www.databricks.com/• Carl Sagan's quote: https://www.goodreads.com/quotes/32952-if-you-wish-to-make-an-apple-pie-from-scratch• Google Wave: https://en.wikipedia.org/wiki/Google_Wave• Google Video: https://en.wikipedia.org/wiki/Google_Video• Secret: https://en.wikipedia.org/wiki/Secret_(app)• Alien Earth on FX: https://www.fxnetworks.com/shows/alien-earth• Slow Horses on AppleTV+: https://tv.apple.com/us/show/slow-horses/umc.cmc.2szz3fdt71tl1ulnbp8utgq5o• Fargo TV series on Prime Video: https://www.amazon.com/Fargo-Season-1/dp/B09QGRGH6M• Steam Deck OLED display: https://www.steamdeck.com/en/oled• Doc Brown: https://backtothefuture.fandom.com/wiki/Emmett_Brown—Recommended books:• The Master and Margarita: https://www.amazon.com/Master-Margarita-Mikhail-Bulgakov/dp/0802130119• Tennyson Poems: https://www.amazon.com/Tennyson-Poems-Everymans-Library-Pocket/dp/1400041872/Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com.—Lenny may be an investor in the companies discussed.My biggest takeaways from this conversation: To hear more, visit www.lennysnewsletter.com

The Bitcoin Boomers Ep. 01: Biggest Threats to Bitcoin & Your Wealth: AI, Inflation & Rogue Devs | Lepard, Burnett, Leland, BodineUncover the biggest threats to Bitcoin and your wealth in this explosive premiere of The Bitcoin Boomers on BTC Sessions: AI job apocalypse fueling UBI dystopia, rampant inflation robbing savings blind, and rogue core devs triggering a Bitcoin schism that could shatter the network. With Bitcoin price predictions rocketing to $1M+ amid gold surges and monetary resets, experts Larry Lepard, Bob Burnett, Gary Leland, and George Bodine expose why fiat is doomed, quantum hacks loom (but Bitcoin adapts), and stacking sats now is your ultimate escape hatch. From Nixon's 1971 gold betrayal to AI superintelligence crafting velvet prisons, this Bitcoin-only deep dive reveals geopolitical FUD, Core vs Knots wars, Satoshi coin debates, and gold vs Bitcoin dominance. If you're orange-pilling family or safeguarding generational wealth against stagflation and debasement, hit play for raw maxi wisdom on proof-of-work life lessons, executive resets, and forging a deflationary orange future. Don't miss these Bitcoin forecasts 2025-2030 that could 10x your stack—subscribe for more boomer Bitcoin insights!Chapters:00:01:40 George's Epic Journey to Bitcoin Maxi00:03:25 Proof-of-Work Life Lessons from Hard Labor00:04:18 Fiat Trap: Impossible to Outrun Debasement00:05:12 Grandfather Tales of Inflation Theft00:07:52 Global Fiat Awakening & Doom Signals00:08:49 Gold's Stunning Surge & 70s Echoes00:09:52 Endless Printing Math & Inflation Risks00:12:13 Sovereign Debt Crisis No One Alive Has Seen00:14:24 Monetary Reset Paths: Gold or Bitcoin?00:15:09 Gold Standard Betrayals Through History00:21:01 Constitution Rabbit Hole: Money from State00:24:03 Nixon Speech Memories & Patriotism Tricks00:26:52 AI Revolution: Jobs at Risk Soon00:32:18 Larry: Bitcoin Outperforms & Demonetizes Gold00:36:20 AI Hacking Bitcoin Fears Debunked00:36:44 Quantum Computing Threats & Timelines00:45:41 Core vs Knots Schism Debate Begins00:56:27 Disruptive Transition to Deflationary World01:00:14 Larry on Massive Wealth Transfer Ahead01:03:03 Study Books for Bitcoin Doubts01:04:42 Lifeboats Analogy: Bitcoin vs Titanic Fiat01:08:20 Core Upgrade Concerns & Not Running It01:10:08 BSV Example: OP_RETURN Risks01:13:12 Bob's Concerns: Spam & Terrible Move01:17:23 DC Meetings & Handling FUD01:18:10 Larry Agrees: Appalled by Dev Treatment01:22:06 No Humility in Young Devs01:23:33 Favorite Artist Chat01:24:42 Hopeful Orange Future & Creativity01:26:03 Bitcoin Art: God Bestows Series01:28:28 Finding George OnlineAbout the Hosts & Guest:Lawrence Lepard (@LawrenceLepard): Sound money advocate, fund manager, author of "The Big Print" Bob Burnett (@boomer_btc): Bitcoin evangelist, Founder/CEO of Barefoot Mining, former CTO at Gateway Inc. Board member at Ocean, advisor to M5ers, with over 40 years in tech and mining.Gary Leland (@GaryLeland): Founder of Bit Block Boom Bitcoin Conference. George Bodine (@Jethroe111): Professional artist, Navy fighter pilot (Top Gun grad), and Delta captain. Hardcore Bitcoin maxi sharing unfiltered insights.Supported By:Blockstream Jade: Easy, open-source Bitcoin-only cold storage. Get 10% off with code BOOMERS at blockstream.com.Unchained Signature: Premium custody for serious holders. 10% off first year with code BOOMERS10 at unchained.com/btcboomersAbundant Minds: Fully managed Bitcoin mining. Learn more at abundantminds.comBITCOIN WELL is best place to buy Bitcoin in Canada and the USA.Visit BITCOINWELL.COM/BTCSESSIONSBook Private Sessions: Master Bitcoin with experts at bitcoinmentor.io. #bitcoin #bitcoinboomers #ai #inflation #coredevs #quantum #goldvsbitcoin # fiat #gold #monetaryreset #btcsessions #larrylepard #bobburnett #garyleland #georgebodine #bitcoinpodcast #bitcoinprice #bitcoin2025

Invest Like the Best: Read the notes at at podcastnotes.org. Don't forget to subscribe for free to our newsletter, the top 10 ideas of the week, every Monday --------- My guest today is Karim Atiyeh. Karim is the co-founder and CTO of Ramp, the fastest-growing finance automation platform in history, reaching over $1 billion in revenue in just over five years. Ramp is, of course, also our presenting sponsor, so I'm obviously very biased in how highly I think about Ramp and about Karim. But, this interview was not part of that sponsorship, I simply view Karim as one of the best operators active today. Ramp is building what Karim calls "self-driving finance"—using AI agents to automate everything from expense policy enforcement to invoice processing, eliminating the bureaucratic waste that plagues modern businesses. Karim shares his framework for moving from using AI as a productivity tool to programming AI as your actual product, with policy agents that understand context better than humans and improve continuously. Our discussion captures the relentless iteration speed and technical depth required to build generational companies in the age of AI. We explore his systematic approach to building consumer-grade experiences for business software, the psychology behind his "divinely discontent" management style, and why he believes technical founders will dominate this era because they can see possibilities others miss. Please enjoy my conversation with Karim Atiyeh. For the full show notes, transcript, and links to mentioned content, check out the episode page ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠here⁠⁠⁠⁠⁠⁠⁠⁠.⁠⁠⁠⁠⁠⁠⁠⁠ ----- This episode is brought to you by⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Ramp⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Ramp's mission is to help companies manage their spend in a way that reduces expenses and frees up time for teams to work on more valuable projects. Go to⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Ramp.com/invest⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to sign up for free and get a $250 welcome bonus. – This episode is brought to you by⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Ridgeline⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Ridgeline has built a complete, real-time, modern operating system for investment managers. It handles trading, portfolio management, compliance, customer reporting, and much more through an all-in-one real-time cloud platform. Head to⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ridgelineapps.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to learn more about the platform. – This episode is brought to you by⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ AlphaSense⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. AlphaSense has completely transformed the research process with cutting-edge AI technology and a vast collection of top-tier, reliable business content. Invest Like the Best listeners can get a free trial now at⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Alpha-Sense.com/Invest⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and experience firsthand how AlphaSense and Tegus help you make smarter decisions faster. ----- Editing and post-production work for this episode was provided by The Podcast Consultant (⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://thepodcastconsultant.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠). Show Notes: (00:00:00) Welcome to Invest Like the Best (00:05:09) The Competitive Landscape and AI Advancements (00:07:27) Building Self-Driving Finance with AI (00:08:28) Policy Agents and Automation (00:12:14) Ramp's User Experience and Design Philosophy (00:23:10) Kareem's Background and Entrepreneurial Journey (00:28:06) Founding Paribus and Lessons Learned (00:41:57) The Birth of Ramp and Early Challenges (00:54:30) Nurturing Investor Relationships (00:57:10) Challenges in Fundraising (00:58:23) Customer Adoption and Product Evolution (01:01:55) Transition to SaaS Revenue Model (01:06:37) Marketing Innovations and Experiments (01:24:16) Recruiting for Spikiness and Speed (01:31:29) Future of Payments and Business Models (01:39:06) The Kindest Thing

Invest Like the Best Key Takeaways Check out the episode pageRead the full notes @ podcastnotes.orgMy guest today is Karim Atiyeh. Karim is the co-founder and CTO of Ramp, the fastest-growing finance automation platform in history, reaching over $1 billion in revenue in just over five years. Ramp is, of course, also our presenting sponsor, so I'm obviously very biased in how highly I think about Ramp and about Karim. But, this interview was not part of that sponsorship, I simply view Karim as one of the best operators active today. Ramp is building what Karim calls "self-driving finance"—using AI agents to automate everything from expense policy enforcement to invoice processing, eliminating the bureaucratic waste that plagues modern businesses. Karim shares his framework for moving from using AI as a productivity tool to programming AI as your actual product, with policy agents that understand context better than humans and improve continuously. Our discussion captures the relentless iteration speed and technical depth required to build generational companies in the age of AI. We explore his systematic approach to building consumer-grade experiences for business software, the psychology behind his "divinely discontent" management style, and why he believes technical founders will dominate this era because they can see possibilities others miss. Please enjoy my conversation with Karim Atiyeh. For the full show notes, transcript, and links to mentioned content, check out the episode page ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠here⁠⁠⁠⁠⁠⁠⁠⁠.⁠⁠⁠⁠⁠⁠⁠⁠ ----- This episode is brought to you by⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Ramp⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Ramp's mission is to help companies manage their spend in a way that reduces expenses and frees up time for teams to work on more valuable projects. Go to⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Ramp.com/invest⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to sign up for free and get a $250 welcome bonus. – This episode is brought to you by⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Ridgeline⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Ridgeline has built a complete, real-time, modern operating system for investment managers. It handles trading, portfolio management, compliance, customer reporting, and much more through an all-in-one real-time cloud platform. Head to⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ridgelineapps.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to learn more about the platform. – This episode is brought to you by⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ AlphaSense⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. AlphaSense has completely transformed the research process with cutting-edge AI technology and a vast collection of top-tier, reliable business content. Invest Like the Best listeners can get a free trial now at⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Alpha-Sense.com/Invest⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and experience firsthand how AlphaSense and Tegus help you make smarter decisions faster. ----- Editing and post-production work for this episode was provided by The Podcast Consultant (⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://thepodcastconsultant.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠). Show Notes: (00:00:00) Welcome to Invest Like the Best (00:05:09) The Competitive Landscape and AI Advancements (00:07:27) Building Self-Driving Finance with AI (00:08:28) Policy Agents and Automation (00:12:14) Ramp's User Experience and Design Philosophy (00:23:10) Kareem's Background and Entrepreneurial Journey (00:28:06) Founding Paribus and Lessons Learned (00:41:57) The Birth of Ramp and Early Challenges (00:54:30) Nurturing Investor Relationships (00:57:10) Challenges in Fundraising (00:58:23) Customer Adoption and Product Evolution (01:01:55) Transition to SaaS Revenue Model (01:06:37) Marketing Innovations and Experiments (01:24:16) Recruiting for Spikiness and Speed (01:31:29) Future of Payments and Business Models (01:39:06) The Kindest Thing

Malcolm Harris talks with Alfonso Quijano, CTO of Lean Solutions Group; Richard Bubb, Principal Program Manager at Amazon Relay; and Todd Waldron, Vice President of Carrier Experience at Truckstop. ⁠Watch on YouTube⁠ ⁠Visit our sponsor⁠ ⁠Subscribe to the WTT newsletter⁠ ⁠Apple Podcasts⁠ ⁠Spotify⁠ ⁠More FreightWaves Podcasts⁠ #WHATTHETRUCK #FreightNews #supplychain Learn more about your ad choices. Visit megaphone.fm/adchoices

Darryl Pahl is the co-founder of DFnet, a Seattle-based company providing clinical trial data management software and services. Along with his wife and co-founder, Lisa Andrzejczyk, Darryl started the company more than 20 years ago after careers at Fred Hutchinson Cancer Research Center. They built DFnet around long-term client relationships in global health and clinical research. The company runs DFdiscover, an enterprise-grade electronic data capture and management platform used in clinical studies worldwide. With offices in the U.S., Canada, and South Africa, DFnet has grown to more than 50 employees and is approaching $10M in revenue. Clients range from the U.S. Department of Veterans Affairs to nonprofits like PATH and major universities. Still independent and bootstrapped, DFnet has made key moves to prepare for the future—such as bringing in a growth-focused CEO, diversifying beyond single-client risk, and shifting legacy software to SaaS and services. Darryl shares the lessons from running conservatively under debt, buying rather than building, and building a global company rooted in relationships and practical execution. Key Takeaways Stability First Growth – Carrying a 10-year SBA loan forced conservative growth and taught the discipline of stability over risky expansion. Buying Not Building – Acquiring DataFax brought 35+ new clients overnight and proved that buying legacy software can be smarter than reinventing. Services Plus Software – Unlike pure SaaS, DFnet thrives by combining consulting, hosting, and software in a regulated field. Spouse Founders Structure – Their 51/49 ownership split avoided deadlocks and kept marriage and business aligned. This Interview Is Perfect For SaaS founders balancing growth and control Founders considering succession or sale Bootstrapped entrepreneurs in niche B2B markets Anyone curious about global health data and impact-driven tech Quote from Darryl Pahl, co-founder of DFnet "The best position to be in is to say that in three to five years, we would be crazy to sell this company. It's doing so well. That would be the perfect thing. And what we're not looking for is a giant payout. We have a very modest lifestyle. “But is an asset, it is a business, and there's a business aspect. It would have to be the right type of buyer. It has to be the right fit. It has to be the right person or group that is respectful to our clients, our employees, and us as owners.  “So the ideal would be to have the luxury of either not selling or being more selective rather than responding to random emails from some financial buyer or search funder.” Links Darryl Paul on LinkedIn DFnet on LinkedIn DFnet website Podcast Sponsor – Fraction This podcast is sponsored by Fraction. Fraction gives you access to senior US-based engineers and CTOs — without full-time costs or hiring risks. Get 10 to 30 hours per week from vetted and experienced US-based talent. Find your next fractional senior engineer or CTO at fraction.work. You can start with a one-week, risk-free trial to test it out. The Practical Founders Podcast Tune into the Practical Founders Podcast for weekly in-depth interviews with founders who have built valuable software companies without big funding. Subscribe to the Practical Founders Podcast using your favorite podcast app or view on our YouTube channel. Get the weekly Practical Founders newsletter and podcast updates at practicalfounders.com. Practical Founders CEO Peer Groups Be part of a committed and confidential group of practical founders creating valuable software companies without big VC funding.  A Practical Founders Peer Group is a committed and confidential group of founders/CEOs who want to help you succeed on your terms. Each Practical Founders Peer Group is personally curated and moderated by Greg Head.

Malcolm Harris talks with Alfonso Quijano, CTO of Lean Solutions Group; Richard Bubb, Principal Program Manager at Amazon Relay; and Todd Waldron, Vice President of Carrier Experience at Truckstop. Watch on YouTube Visit our sponsor Subscribe to the WTT newsletter Apple Podcasts Spotify More FreightWaves Podcasts #WHATTHETRUCK #FreightNews #supplychain Learn more about your ad choices. Visit megaphone.fm/adchoices

Mukund Jha is CEO of Emergent, an agentic vibe-coding platform. They've raised $23M from Lightspeed, Y Combinator, Together Fund, and Prosus. He was previously the cofounder and CTO of Dunzo, a hugely popular ecommerce company in India.Mukund's favorite books: The Hard Thing About Hard Things (Author: Ben Horowitz)(00:01) Intro(00:07) State of vibe-coding and where we are today(01:42) Emergent in plain English: what the product delivers(03:07) From prototype to traction: the first 90 days(06:03) What changed in the last 24 months (models + infra)(08:13) Early infra bets that enabled speed(12:07) Precision vs. control: editing and debugging without code(14:21) One-click to production: the unglamorous infra behind it(15:55) Points of failure across prompt → plan → code → test → deploy(17:53) Models division of labor: planning, codegen, tests, commits(20:05) What “reasoning” means and how they evaluate it(22:13) Context & memory strategy (beyond naive RAG)(24:22) Representing large codebases so agents don't hallucinate structure(27:03) Orchestration walkthrough: adding SSO end-to-end(29:40) Agent coordination protocols (how agents talk)(31:05) Debugging long-running agents and trace observability(32:37) Company-building lessons from Dunzo to Emergent(36:10) Philosophy: offloading decisions to models(36:57) Rapid Fire Round--------Where to find Mukund Jha: LinkedIn: https://www.linkedin.com/in/mukund-jha-a1596413/--------Where to find Prateek Joshi: Newsletter: https://prateekjoshi.substack.com Website: https://prateekj.com LinkedIn: https://www.linkedin.com/in/prateek-joshi-infiniteX: https://x.com/prateekvjoshi 

In this episode, we're not just talking about AI - we're unpacking the reality behind the hype, taking a look back at Big Data London and what it covered. From stalling initiatives to drifting models, the AI bubble is showing cracks. Why? Because many organisations have sprinted into the future without packing the essentials.We'll explore the critical foundations needed to make AI work: trusted data, shared language, and skilled people. You'll hear real-world lessons from businesses discovering that AI is far more complex than the headlines suggest — and we'll share practical steps leaders can take to unlock real value from their investments.This episode is hosted by Helen Gidney, Softcat's Head of Architecture, and features Andy Crossley, CTO at Oakland, and Alex Pearce, Chief Microsoft Strategist at Softcat.Softcat's Explain IT podcast is the place where we discuss, debate and demystify tech in simple, jargon-free language. For more information visit softcat.com.This podcast is produced by The Podcast Coach. Hosted on Acast. See acast.com/privacy for more information.

Lenovo has been a global leader in computing for decades. Where are they heading next? Today, we're talking to Art Hu, SVP and CTO at Lenovo. We discuss Lenovo's transformation into a services-led company, the future of personal computing and AI twins, and how CTOs can prepare their organizations for the AI revolution. Thank you to Digital Ocean for sponsoring this episode. For simple cloud and powerful AI that's built to scale, check out Digital Ocean here. All of this right here, right now, on the Modern CTO Podcast!  To learn more about Lenovo, check out their website here.

"O smart contract é como uma máquina de Coca-Cola: você coloca a moeda e sai a Coca. Se acontecer X, ele vai dar Y. Sem interação humana" - Fabiano Miranda No décimo episódio do Hipsters.Talks, PAULO SILVEIRA , CVO do Grupo Alun, conversa com FABIANO MIRANDA , CTO da Soul Up, sobre o uso real de blockchain nas empresas, smart contracts e como essa tecnologia está transformando programas de fidelidade. Uma conversa reveladora sobre blockchain além do hype, com aplicações práticas e um olhar para o impacto socioambiental.  Prepare-se para um episódio cheio de conhecimento e inspiração! Espero que aproveitem :) Sinta-se à vontade para compartilhar suas perguntas e comentários. Vamos adorar conversar com vocês!

In this special episode of AI and the Future of Work, host Dan Turchin explores one of the most ambitious and debated frontiers in technology: Artificial General Intelligence (AGI).What is AGI? How close are we to creating machines that truly think, reason, and learn like humans? And what will that mean for the future of work, creativity, and ethics?This compilation episode revisits insights from three leading thinkers who have spent years defining, debating, and developing the next generation of intelligent systems.Featuring Guests

From a last-minute YC application to a $5 billion Company built on deep technical insight.In this episode, Viral Bajaria, Co-Founder and CTO of 6sense, takes us back to the very beginning. He recounts his early days at Hulu, where managing massive data systems during the Super Bowl taught him how data could drive real business decisions.Joining one of Y Combinator's early batches, Viral recalls being interviewed by Sam Altman and Garry Tan, and how the team quit their jobs after getting in, moved into a small townhouse, and began writing code. While most startups begin with small customers, 6sense started with some of the biggest enterprise logos. Viral explains why repeatability and implementation are harder when selling only to large accounts, and how those lessons shaped their approach to building sustainable growth. He also reflects on the difficult years when growth stalled, when the company had to rebuild its product, and when they learned that great technology means little without strong go-to-market execution. It is a story about timing, conviction, and the patience to build for what will not change.0:00- Trailer 02:26- First job at Hulu & exposure to big data06:36- YC interview by Sam altman & Garry tan08:22- Quitting job for YC11:07- First version: Big data analytics platform12:12- Getting in YC batch that downsized from 130 to 4713:27- The need & opportunity for a Merger15:49- Why Founders should learn to let go & avoid slow death16:07- Why everybody at YC advised against the merger?18:16- A VC next door that chased 6sense20:18- Rebuilding the product for B2B20:57- How this startup started with the biggest logos?21:59- Repeatability is hard when selling only to enterprise22:47- There were lot of startups, with lot more money23:32- How to build for things that won't change in 10 years?29:24- Ad platforms only targeted People, Not companies32:02- Why did 6sense get a new CEO?33:50- Funding rounds that led to $5Billion37:20- What 2013 Co's were doing can be done with 1% today38:39- When competition raises a $100M round39:40- If you build a company on LLM, there is no data moat42:02- What is the extent of guard rails for Agents?43:59- Viral's Investments in India & US Companies54:44- Co's should raise money to appear bigger than you are56:55- Vibe spending: People are spending money to try AI59:52- Is there a right time for vibe mode for every industry?01:02:00- Service as a software is selling agency to customer01:03:58- Why co's in the US-india corridor will succeed?01:17:27- Why Viral invested in Neon?-------------India's talent has built the world's tech—now it's time to lead it.This mission goes beyond startups. It's about shifting the center of gravity in global tech to include the brilliance rising from India.What is Neon Fund?We invest in seed and early-stage founders from India and the diaspora building world-class Enterprise AI companies. We bring capital, conviction, and a community that's done it before.Subscribe for real founder stories, investor perspectives, economist breakdowns, and a behind-the-scenes look at how we're doing it all at Neon.-------------Check us out on:Website: https://neon.fund/Instagram: https://www.instagram.com/theneonshoww/LinkedIn: https://www.linkedin.com/company/beneon/Twitter: https://x.com/TheNeonShowwConnect with Siddhartha on:LinkedIn: https://www.linkedin.com/in/siddharthaahluwalia/Twitter: https://x.com/siddharthaa7-------------This video is for informational purposes only. The views expressed are those of the individuals quoted and do not constitute professional advice.Send us a text

Redwood Materials has long dominated EV battery recycling, but what if they could drain every last drop of energy from those batteries before recycling them? I talk with the company's CTO, Colin Campbell, about Redwood Energy, a new division doing just that by deploying used batteries as grid-scale storage at a massive scale. This isn't just a side project; it's a plan to turn a massive wave of incoming used batteries into a key resource for the grid. This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.volts.wtf/subscribe

Luis is an AWS Community Builder, CTO, and game developer! In this session, you'll learn how to build a live FAST (Free Ad-Supported TV) channel using AWS Elemental MediaLive. We'll walk through the end-to-end process: from ingest and transcoding, to dynamic ad insertion with MediaTailor and VOD integration via MediaConvert. This talk is perfect for engineers, architects, or media professionals looking to deliver scalable, serverless streaming solutions on AWS. 00:00 - Intro 04:50 - Building FAST Channels 06:20 - Key Concepts 18:10 - Architecture of the demo 21:00 - QRs for repo and player demo 22:25 - Building the demo live! 46:51 - Alternate Architectures 2 & 3 How to find Luis: https://www.linkedin.com/in/luis-valdivia-humareda/ Luis' links: https://github.com/lvaldivia/vbrownbag2025

Khosla Ventures' Vinod Khosla talks with TITV Host Akash Pasricha about AI's high costs, the risks in circular financing deals like those involving NVIDIA and Oracle, and the energy solutions to AI. We also talk with The Information's Ann Gehan about creator reaction to TikTok Shop's new advertising tool. Li Haslett Chen, Founder of Howl, discusses where AI can transform the shopping experience, noting returns as the biggest opportunity. Lastly, we get into rebuilding college for the AI era with Tade Oyerinde, Founder & Chancellor, and Jerome Pesenti, CTO, of Campus.Articles discussed on this episode:https://www.theinformation.com/articles/tiktok-shops-new-ad-policy-risks-alienating-merchantshttps://www.theinformation.com/articles/can-ai-deliver-shoppers-wantTITV airs on YouTube, X and LinkedIn at 10AM PT / 1PM ET. Or check us out wherever you get your podcasts.Subscribe to: - The Information on YouTube: https://www.youtube.com/@theinformation4080/?sub_confirmation=1- The Information: https://www.theinformation.com/subscribe_hSign up for the AI Agenda newsletter: https://www.theinformation.com/features/ai-agenda

My guest today is Karim Atiyeh. Karim is the co-founder and CTO of Ramp, the fastest-growing finance automation platform in history, reaching over $1 billion in revenue in just over five years. Ramp is, of course, also our presenting sponsor, so I'm obviously very biased in how highly I think about Ramp and about Karim. But, this interview was not part of that sponsorship, I simply view Karim as one of the best operators active today. Ramp is building what Karim calls "self-driving finance"—using AI agents to automate everything from expense policy enforcement to invoice processing, eliminating the bureaucratic waste that plagues modern businesses. Karim shares his framework for moving from using AI as a productivity tool to programming AI as your actual product, with policy agents that understand context better than humans and improve continuously. Our discussion captures the relentless iteration speed and technical depth required to build generational companies in the age of AI. We explore his systematic approach to building consumer-grade experiences for business software, the psychology behind his "divinely discontent" management style, and why he believes technical founders will dominate this era because they can see possibilities others miss. Please enjoy my conversation with Karim Atiyeh. For the full show notes, transcript, and links to mentioned content, check out the episode page ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠here⁠⁠⁠⁠⁠⁠⁠⁠.⁠⁠⁠⁠⁠⁠⁠⁠ ----- This episode is brought to you by⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Ramp⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Ramp's mission is to help companies manage their spend in a way that reduces expenses and frees up time for teams to work on more valuable projects. Go to⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Ramp.com/invest⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to sign up for free and get a $250 welcome bonus. – This episode is brought to you by⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Ridgeline⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Ridgeline has built a complete, real-time, modern operating system for investment managers. It handles trading, portfolio management, compliance, customer reporting, and much more through an all-in-one real-time cloud platform. Head to⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ridgelineapps.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to learn more about the platform. – This episode is brought to you by⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ AlphaSense⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. AlphaSense has completely transformed the research process with cutting-edge AI technology and a vast collection of top-tier, reliable business content. Invest Like the Best listeners can get a free trial now at⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Alpha-Sense.com/Invest⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and experience firsthand how AlphaSense and Tegus help you make smarter decisions faster. ----- Editing and post-production work for this episode was provided by The Podcast Consultant (⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://thepodcastconsultant.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠). Show Notes: (00:00:00) Welcome to Invest Like the Best (00:05:09) The Competitive Landscape and AI Advancements (00:07:27) Building Self-Driving Finance with AI (00:08:28) Policy Agents and Automation (00:12:14) Ramp's User Experience and Design Philosophy (00:23:10) Kareem's Background and Entrepreneurial Journey (00:28:06) Founding Paribus and Lessons Learned (00:41:57) The Birth of Ramp and Early Challenges (00:54:30) Nurturing Investor Relationships (00:57:10) Challenges in Fundraising (00:58:23) Customer Adoption and Product Evolution (01:01:55) Transition to SaaS Revenue Model (01:06:37) Marketing Innovations and Experiments (01:24:16) Recruiting for Spikiness and Speed (01:31:29) Future of Payments and Business Models (01:39:06) The Kindest Thing

#EP314Today on the Clean Power Hour, Michael Stadler, CTO of Xendee, reveals why the utility grid cannot support the AI data center boom and how microgrids provide the only viable path forward. Michael began researching microgrid optimization at Lawrence Berkeley National Laboratory (LBNL) in 2002, spending over 20 years developing the technology before co-founding Xendee in 2018 with CEO Adib Naslé (see Ep 209). Xendee provides design and optimization software for complex microgrids, helping developers determine the right mix of technologies, optimal sizing, economic returns, and control strategies. In this episode, Michael breaks down the economics, technologies, and design strategies powering the next generation of energy infrastructure. What You'll Learn:Why data centers can't rely on grid power - Interconnection queues might take 5-10 years, making microgrids the only realistic option for gigawatt-scale facilitiesThe optimal technology mix for data centers - Combined heat and power systems, batteries, and solar working together to provide 24/7 reliable powerHow Xendee's platform works - Input your power needs and geography, get optimal sizing for generators, batteries, and renewables plus control strategiesCHP systems as the secret weapon - Natural gas generators provide electricity while waste heat powers absorption chillers for cooling, cutting demand dramaticallyEnergy as a Service models - Third parties install and operate microgrids, selling power to data centers under long-term contractsMicrogrids as fluid systems - Start with available technology now, upgrade over time as new solutions like small modular reactors become viableMarket dynamics shifting fast - Projects moving from simple PV+battery to complex multi-technology systems requiring sophisticated designUS leading Europe in microgrids - Behind-the-meter systems reduce grid burden, unlike European virtual power plants that strain infrastructureYou can find Michael Stadler here:LinkedIn: www.linkedin.com/in/stadlermichael/Website: xendee.com/ Support the showConnect with Tim Clean Power Hour Clean Power Hour on YouTubeTim on TwitterTim on LinkedIn Email tim@cleanpowerhour.com Review Clean Power Hour on Apple PodcastsThe Clean Power Hour is produced by the Clean Power Consulting Group and created by Tim Montague. Contact us by email: CleanPowerHour@gmail.com Corporate sponsors who share our mission to speed the energy transition are invited to check out https://www.cleanpowerhour.com/support/The Clean Power Hour is brought to you by CPS America, maker of North America's number one 3-phase string inverter, with over 6GW shipped in the US. With a focus on commercial and utility-scale solar and energy storage, the company partners with customers to provide unparalleled performance and service. The CPS America product lineup includes 3-phase string inverters from 25kW to 275kW, exceptional data communication and controls, and energy storage solutions designed for seamless integration with CPS America systems. Learn more at www.chintpowersystems.com

What happens to platform engineering when natural language becomes the primary interface to infrastructure? Miriam Aguirre (Co-founder & CEO @ Ingenimax) joins us to explore how AI is fundamentally reshaping platform strategy, team structures, and the very role of the platform engineer. We deconstruct the shift from tactical "how" to strategic "why" and explore what it means to lead and build resilient systems in this new paradigm.ABOUT MIRIAM AGUIRREMiriam Aguirre is the Co-Founder and CEO of Ingenimax, the company behind StarOps, an AI-powered platform engineering engine that helps teams deploy and manage kubernetes and other cloud-native systems in minutes, not months. Before Ingenimax, Miriam served as CTO and engineering leader at two startups that successfully scaled from early stage through IPO. Her career spans deep expertise in high-throughput, scalable systems and machine learning, with a focus on building the technical and organizational foundations for hypergrowth. Miriam is passionate about engineering leadership that turns complex technology into intuitive, reliable platforms, and about helping teams scale without losing their soul. ToolHive Unlocks the Full Value of MCP & Your AI AgentsSo you've invested in AI agents for code generation, but they're limited to experiments or even stuck on the shelf. To do real, valuable work, those AI agents need access to your data and systems.ToolHive helps you confidently connect the pieces by making it simple and secure for you to use the Model Context Protocol (MCP).ToolHive includes a pre-vetted registry of MCP servers, containerizes every MCP server for consistency and leans on built-in security to keep your secrets safe.Leaders trust ToolHive to put MCP into production and put their AI agents to work.ToolHive is open source, so get started for free at toolhive.dev SHOW NOTES:The Origin Story of Ingenimax (3:05)The recurring scaling problem: Why "scaling teams" means scaling systems first (5:23)How the age of AI forces platform strategy to evolve earlier in a company's journey (8:48)The decline of vendor lock-in and the rising appetite for experimentation with tech (10:56)The paradigm shift that breaks the old model: natural language as the new interface (14:11)Why deep knowledge of fundamentals is now more important than syntax (16:56)Shifting requirements conversations from tactical inputs to strategic outcomes (20:22)Balancing standardization and flexibility with guardrails in an AI-driven environment (22:58)The challenge of getting from an AI prototype to a polished product (26:42)How platform team roles will evolve to focus more on curation (29:32)How to become a great technology curator (37:30)Rapid Fire Questions (39:56)LINKS AND RESOURCESThe Book of George - From the author of the critically acclaimed Laura & Emma comes a The Love Affairs of Nathaniel P. for our times: Kate Greathead's razor-sharp but big-hearted excavation of millennial masculinity.Can Animals and Machines Be Persons?: A Dialogue - This is a dialogue about the notion of a person, of an entity that thinks and feels and acts, that counts and is accountable. Equivalently, it's about the intentional idiom --the well-knit fabric of terms that we use to characterize persons. Human beings are usually persons (a brain-dead human might be considered a human but not a person). However, there may be persons, in various senses, that are not human beings. Much recent discussion has focused on hypothetical computer-robots and on actual nonhuman great apes. The discussion here is naturalistic, which is to say that count and accountability are, at least initially, presumed to be naturally well-knit with the possession of a cognitive and affective life.This episode wouldn't have been possible without the help of our incredible production team:Patrick Gallagher - Producer & Co-HostJerry Li - Co-HostNoah Olberding - Associate Producer, Audio & Video Editor https://www.linkedin.com/in/noah-olberding/Dan Overheim - Audio Engineer, Dan's also an avid 3D printer - https://www.bnd3d.com/Ellie Coggins Angus - Copywriter, Check out her other work at https://elliecoggins.com/about/ Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

About This Episode  In this compelling episode of The Future of Work® Podcast, we dive into the transformative intersection of artificial intelligence, human‑centered automation and workplace evolution. We're joined by three industry trail‑blazers: Angela Hood, founder and CEO of ThisWay Global — a company that uses AI to mitigate bias, match talent and unlock human potential across thousands of organizations. Jeremy Fennema, a seasoned IT executive and fractional CTO, who brings over two decades of experience in digital transformation, agile innovation and applying AI inside enterprise workflows. And Ram Srinivasan, an executive consultant and AI adoption leader at JLL, MIT alumnus and author of The Conscious Machine, who explores how AI can amplify human potential rather than replace it. Together, they unpack critical topics for the future of work — how remote/virtual and in‑office working models will co‑exist, why AI adoption is non‑negotiable for knowledge workers, how organizational practices must evolve to manage bias and human‑centered systems, what the shifting skillsets are for tomorrow's workforce, and how companies can move beyond the hype of AI into measurable value.   From talent sourcing and diversity ROI to developers, testers and QA in an AI‑augmented world, this conversation is rich with strategic insights and practical take‑aways for leaders, technologists and everyone working at the intersection of people and technology. 

This episode of Talking AI features an in-depth discussion with Patrick Leung, CTO and co-founder of Faro Health.The conversation explores the slow and expensive process of bringing new drugs to market through clinical trials and how AI can revolutionize this area.Patrick explains the concept of Eroom's Law and the increasing cost and complexity of clinical trials.He highlights the application of AI in clinical writing, enabling the automation of complex clinical documentation.The discussion also touches on AI's role in providing better insights, improving patient care, and the broader implications of AI in healthcare.The episode concludes with a look at the hype and reality of AI capabilities, emphasizing the need for organizations and individuals to embrace and adapt to AI innovations.--Key Moments:00:46 Challenges in Clinical Trials02:31 AI's Role in Clinical Documentation04:37 Ensuring Accuracy and Quality with AI07:40 The Future of AI in Clinical Trials12:58 Faro Health's Journey and Innovations18:25 Adapting to Advancements in AI20:14 Innovating with New AI Models21:12 Stanford AI Report Insights22:27 Healthcare Innovations and AI25:42 The Hype and Reality of AI in Healthcare28:05 The AI Hype Curve30:46 The Future of AI and Human Potential34:54 Encouragement for Aspiring Innovators--Key Links:Faro Health Inc.Connect with Patrick on LinkedInMentioned in this episode:AI Opportunity FinderFeeling overwhelmed by all the AI noise out there? The AI Opportunity Finder from HatchWorks cuts through the hype and gives you a clear starting point. In less than 5 minutes, you'll get tailored, high-impact AI use cases specific to your business—scored by ROI so you know exactly where to start. Whether you're looking to cut costs, automate tasks, or grow faster, this free tool gives you a personalized roadmap built for action.

Understanding the natural thought patterns of your CEO will help you communicate effectively and create trust rather than lose it. One such aspect is the "anecdote machine" thinking. With few data points, extrapolation roams free, and it often misses. More in this week's episode!Please fill out this single-question poll about the Rome Sessions. I'd would mean a lot to me!Grab a copy of my books, Capitalizing Your Technology and  The Tech Executive Operating System.Subscribe to the best newsletter for tech executives.For any questions or comments, reach out to me directly: aviv@avivbenyosef.com

Yahoo was there in the earliest days of the internet, but what are they up to now? Today, we're talking to Lee Zen, CTO at Yahoo. We discuss Yahoo's continued relevance in the digital age, how they're leveraging AI and cloud technology to navigate the expanding digital wilderness, and why authenticity and transparency are crucial in tech leadership. Thanks to Fin for sponsoring this episode. To learn more about the #1 AI agent for customer support, go to fin.ai/cto. All of this right here, right now, on the Modern CTO Podcast!  To learn more about Yahoo, check out their website here.

George Maddaloni is the EVP and CTO for Operations at Mastercard, where he leads the performance and modernization of technology platforms serving more than 35,000 employees worldwide. He has previously held senior IT leadership roles at AIG, UBS, AT&T, GM, and Merrill Lynch, and currently serves on the board of SustainableIT.org. George earned his BS in Mechanical Engineering and Computer Science from Johns Hopkins University and an MBA from Fordham University.In this conversation, we discuss:How Mastercard's CTO thinks about the balance between innovation, trust, and regulation in one of the world's most complex financial networks.The strategy behind modernizing Mastercard's internal technology platforms to empower 35,000 global employees.Why a decade of AI experience changed how Mastercard approaches fraud, data, and customer confidence.The cultural shift that turned curiosity about AI into measurable progress across a global workforce.How a 50-year-old payments company keeps competing with startups by rethinking infrastructure from the ground up.George Maddaloni's vision of the next era of payments and how technology might make transactions faster, safer, and nearly invisible.Resources:Subscribe to the AI & The Future of Work NewsletterConnect with George on LinkedInAI fun fact articleOn How To Create an Energy-Based Work System that Empowers EmployeesOther resources mentioned in this conversation: On decentralized AI in Banks and the Future of Finance with Paolo Ardoino, Tether CEO 

Is your organization truly agile, or are you still clinging to outdated processes and siloed teams instead of a platform mindset?Agility requires a fundamental shift in mindset, embracing collaboration, rapid iteration, and a willingness to adapt to change. It demands a commitment to not just talking about silos, but meaningfully breaking them down, while fostering a culture of shared ownership across the organization.Today, we're going to talk about the power of a platform mindset in driving innovation and achieving true agility within large organizations. To help me discuss this topic, I'd like to welcome, Marcus Fontoura, Technical Fellow at Microsoft, as CTO for Azure Core at Microsoft, and author of the book “A Platform Mindset: Building a Culture of Collaboration” About Marcus Fontoura Marcus Fontoura has spent more than 20 years in big tech companies and has been at the forefront of industry-shaping technology innovations, from computational advertising to cloud computing to fintech. He is currently a Technical Fellow at Microsoft, where he works on cloud computing infrastructure.His new book, A Platform Mindset: Building a Culture ofCollaboration (8080 Books, Feb. 11, 2025), shares how companies can expand and scale processes to bring about competitive advantages.Learn more at fontoura.org. Marcus Fontoura on LinkedIn: https://www.linkedin.com/in/marcusfontoura/ Resources Microsoft: https://www.microsoft.com The Agile Brand podcast is brought to you by TEKsystems. Learn more here: https://www.teksystems.com/versionnextnow Get Marcus' book on Amazon: https://www.amazon.com/Platform-Mindset-Building-Culture-Collaboration/dp/B0DSY849P8Register now for Sitecore Symposium, November 3-5 in Orlando Florida. Use code SYM25-2Media10 to receive 10% off. Go here for more: https://symposium.sitecore.com/Catch the future of e-commerce at eTail Palm Springs, Feb 23-26 in Palm Springs, CA. Go here for more details: https://etailwest.wbresearch.com/ Connect with Greg on LinkedIn: https://www.linkedin.com/in/gregkihlstromDon't miss a thing: get the latest episodes, sign up for our newsletter and more: https://www.theagilebrand.showCheck out The Agile Brand Guide website with articles, insights, and Martechipedia, the wiki for marketing technology: https://www.agilebrandguide.com The Agile Brand is produced by Missing Link—a Latina-owned strategy-driven, creatively fueled production co-op. From ideation to creation, they craft human connections through intelligent, engaging and informative content. https://www.missinglink.company

Industrial Talk is onsite at SMRP 2025 and talking to Manpreet Singh, CEO/CTO at Nanoprecise about "Energy Centered Maintenance". Scott Mackenzie interviews Manpreet Singh, CEO of Nanoprecise, about their energy-centric maintenance technology. Nanoprecise's "Machine Doctor" uses sensors to diagnose and prescribe maintenance for machines, linking mechanical issues to energy consumption. Singh highlights that 75% of a machine's life cycle cost is electricity, and even minor faults can increase energy consumption by 5%. The platform integrates with existing systems like CMMS and uses AI algorithms to improve efficiency and reduce energy waste. Singh emphasizes the importance of augmenting maintenance professionals' skills to address the industry's talent crunch. Action Items [ ] Reach out to Manpreet Singh (CEO, Nanoprecise) to learn more about the company's solutions.[ ] Connect with Manpreet Singh on LinkedIn. Outline Introduction and Welcome to Industrial Talk Podcast Speaker 1 introduces Scott Mackenzie as the host of the Industrial Talk Podcast, highlighting his dedication to industry innovations and trends.Scott MacKenzie welcomes listeners to the podcast, celebrating industry professionals and their contributions to changing lives.Scott mentions the current location at the SMRP event, noting the ongoing work and the need to lay down carpet.Scott introduces the guest, Manpreet Singh, and the topic of energy-centered maintenance, expressing excitement about the discussion. Manpreet Singh's Background and Career Journey Manpreet Singh shares his background as an engineer, starting in the manufacturing industry with pressure vessels and heat exchangers.He discusses his transition to renewable projects, his interest in IoT, and his experience in health tech before moving to Canada.Manpreet joined Nanoprecise as CTO in early 2023 and has since taken over as CEO, leading the company's growth and development.Scott and Manpreet discuss their shared background in renewable energy, specifically in solar projects. Overview of Nanoprecise and Energy-Centered Maintenance Manpreet explains Nanoprecise's technology, called Machine Doctor, which senses and diagnoses machine parameters and prescribes necessary actions.He highlights the importance of energy-centered maintenance, linking mechanical issues to energy consumption.Scott inquires about the applicability of Nanoprecise's solution to assets in motion, and Manpreet confirms their focus on rotary equipment.Manpreet provides insights into the significant energy waste due to inefficiencies and faults in machines, emphasizing the need for better maintenance practices. Energy Consumption and Life Cycle Costs Manpreet discusses the impact of minor and major faults on energy consumption, noting that a minor issue can increase energy consumption by 5%, while a major fault can increase it by 25-40%.Scott and Manpreet agree on the importance of reducing energy consumption to improve overall efficiency.Manpreet explains that 75% of the life cycle cost of a motor-driven machine is electricity, making energy efficiency crucial.The conversation shifts to the paradigm shift in maintenance practices, focusing on both mechanical health and energy consumption. Data Integration and Platform Capabilities Manpreet describes Nanoprecise's platform, which integrates sensor data and provides actionable insights.He explains the importance of correlating mechanical health with energy...

In a packed week for bitcoin mining news, MARA has dismissed its CTO, BlackRock cooks up a $40 billion data center firm acquisition, and Bitdeer unveils its $2 billion AI ambitions. Click Here To Join the BitAxe Giveaway! Welcome back to The Mining Pod! This week, Luxor CEO Nick Hansen joins us to talk multi-month hashprice lows (how low do we go?), MARA firing its CTO, Ionic Digital's Microsoft-linked AI deal, Bitdeer's gangbusters September and $2B AI plans, and BlackRock taking the lead on a $40B data center company acquisition. Plus, the US government seizes $14.1B (potentially $16.5B total) in bitcoin from an international scam operation. **Notes:** • Hash price dropped below $50/PH/day at $47 • Difficulty adjustment down 2.5% after months of increases • Bitcoin price fell from $125K to $108K post-tariff news • Marathon quietly cans CTO  • Bitdeer mined 452 BTC in Sept, up 20.5% month-over-month • Bitdeer projects $2B annual revenue from AI starting in 2026 • BlackRock leads $40B Aligned Data Centers acquisition • US seized $14.1B+ Bitcoin from crime syndicate • PJM needs 43GW battery storage by 2045 • Ionic Digital secured 240MW Microsoft lease, expandable to 1.2GW Timestamps: 00:00:00:00 Start 00:01:51:00 Difficulty Report by Luxor 00:11:28:10 MARA CTO fired 00:15:40:17 Ionic Digital gets into the AI action 00:18:16:13 PJM needs 43 GW of battery by 2045 00:23:22:16 Bitdeer's big September 00:27:56:23 BlackRock & Nvidia deal 00:35:03:28 Cry Corner: Uncle Sam gets that bag

Zach Lloyd is the Founder and CEO of Warp, the next-generation developer terminal reinventing how engineers build and collaborate. Warp has raised over $70M from top-tier investors including Sequoia Capital, GV, Dylan Field, and Elad Gil. Before founding Warp, Zach was Principal Engineer at Google, where he led development of Google Docs, and later served as CTO at Time. He's one of the most respected engineering minds redefining the future of developer tools. AGENDA:  04:14 Biggest Product Lessons from Rewriting Google Sheets 07:10 Why I Would Short Google: Leadership and AI Strategy 09:55 Comparing AI Models: GPT, Claude, and Gemini: Who Wins and Loses 17:04 Do Margins Matter in AI? 24:57 Adding $1M in ARR Every Week: Is Triple, Triple, Double, Double Dead? 33:58 How to Build Defensibility in a World of AI? 43:05 OpenAI vs Anthropic: Who Wins and Why? 44:25 Biggest Fundraising Lessons Raising from Sequoia, Elad Gil and GV 50:56 Why Sequoia are the Best VC 53:51 What Every Founder Gets Wrong in Fundraising 01:01:30 Quick Fire Questions and Final Thoughts  

Click Here To Join the BitAxe Giveaway! Welcome back to The Mining Pod! This week, Luxor CEO Nick Hansen joins us to talk multi-month hashprice lows (how low do we go?), MARA firing its CTO, Ionic Digital's Microsoft-linked AI deal, Bitdeer's gangbusters September and $2B AI plans, and BlackRock taking the lead on a $40B data center company acquisition. Plus, the US government seizes $14.1B (potentially $16.5B total) in bitcoin from an international scam operation. **Notes:** • Hash price dropped below $50/PH/day at $47 • Difficulty adjustment down 2.5% after months of increases • Bitcoin price fell from $125K to $108K post-tariff news • Marathon quietly cans CTO  • Bitdeer mined 452 BTC in Sept, up 20.5% month-over-month • Bitdeer projects $2B annual revenue from AI starting in 2026 • BlackRock leads $40B Aligned Data Centers acquisition • US seized $14.1B+ Bitcoin from crime syndicate • PJM needs 43GW battery storage by 2045 • Ionic Digital secured 240MW Microsoft lease, expandable to 1.2GW Timestamps: 00:00:00:00 Start 00:01:51:00 Difficulty Report by Luxor 00:11:28:10 MARA CTO fired 00:15:40:17 Ionic Digital gets into the AI action 00:18:16:13 PJM needs 43 GW of battery by 2045 00:23:22:16 Bitdeer's big September 00:27:56:23 BlackRock & Nvidia deal 00:35:03:28 Cry Corner: Uncle Sam gets that bag

In this Mission Matters session hosted by ⁠Adam Torres⁠, ⁠Eraj Akhtar⁠ (CTO & Co-Founder, Excite Capital LLC) and ⁠Namuun Battulga⁠ (CEO, Jenko Tour JSC & Igo Hotel and Resorts) discuss physics-based, quantum-inspired AI trading and Mongolia's emergence as a cost-efficient, secure data center location powered by a new 70MW plant. They share partner criteria, address security considerations, and outline a mission to scale globally distributed compute and real-economy growth across Asia. Follow Adam on Instagram at ⁠https://www.instagram.com/askadamtorres/⁠ for up to date information on book releases and tour schedule. Apply to be a guest on our podcast: ⁠https://missionmatters.lpages.co/podcastguest/⁠ Visit our website: ⁠https://missionmatters.com/⁠ More FREE content from Mission Matters here: ⁠https://linktr.ee/missionmattersmedia⁠ Learn more about your ad choices. Visit podcastchoices.com/adchoices

Vincent Serpico, veteran CTO and founder of Founders Workshop, is on the front lines of the AI revolution in 2025, reshaping software development and business operations. With more than 30 years of experience building software apps, Vincent is now dedicating himself full-time to AI coaching and workshops for teams and companies to create high-leverage impact quickly. Vincent shares how practical SaaS founders are leveraging agents, vibe coding, and tools like OpenAI's Agent Kit to multiply output without adding headcount. He sees the shift from SEO to GEO, the rise of ChatGPT apps, and why domain expertise is the ultimate competitive moat for SaaS founders navigating this new economy. Now leading Serpico.ai, Vincent describes how entire applications can be built without writing code, using natural language and iterative management. He stresses that daily AI use, human-in-the-loop workflows, and focusing on domain-driven innovation will give practical founders the edge in this seismic shift. Key Takeaways Agents As Labor – AI agents perform multi-step workflows like employees, delivering productivity gains with human-in-the-loop oversight. Domain Expertise Moat – Deep customer and industry knowledge matters more than raw coding speed in the AI economy. Vibe Coding Skills – Non-coders can now build apps with natural language prompts, managing AI like junior employees. Practical AI Adoption – Founders should start with small use cases, building workflows before tackling complex projects. Great Arbitrage Period – Founders who embrace AI now gain massive leverage over competitors who resist change. This Interview Is Perfect For SaaS founders ready to apply AI beyond experiments Product leaders exploring AI-driven workflows Developers curious about vibe coding and agentic design Founders building lean, AI-powered teams Quote from Vincent Serpico, founder of Serpico.ai “If you're not an expert in something, AI will probably make you two to three times better than you currently are. But if you are an expert in something, AI will make you 10x better.  “If you're already a domain expert, using AI will make you 10x better. Those are the ones that you should be hiring and paying outpaced salaries to, and build your tiny team—domain experts who are great at AI. “If I want to use AI in real estate, I could do it, but a guy who's been a real estate agent for 30 years will do much better if he understands AI skills like how to prompt and context engineer. “So we'll see hiring domain experts and paying them outsized salaries because they're utilizing AI and producing five, six times more than they could without it.” Links Vincent Serpico on LinkedIn Serpico AI website Podcast Sponsor – Cypress Growth Capital This podcast is sponsored by Cypress Growth Capital, an alternative to equity, royalty-based growth capital provides funding in exchange for a fixed percentage of your company's future monthly revenues. Learn more at https://www.cypressgrowthcapital.com/ The Practical Founders Podcast Tune into the Practical Founders Podcast for weekly in-depth interviews with founders who have built valuable software companies without big funding. Subscribe to the Practical Founders Podcast using your favorite podcast app or view on our YouTube channel. Get the weekly Practical Founders newsletter and podcast updates at practicalfounders.com. Practical Founders CEO Peer Groups Be part of a committed and confidential group of practical founders creating valuable software companies without big VC funding.  A Practical Founders Peer Group is a committed and confidential group of founders/CEOs who want to help you succeed on your terms. Each Practical Founders Peer Group is personally curated and moderated by Greg Head.

In this episode of Chaos to Clarity, host Eric Weiss sits down with Ryan Rusnak, Co-Founder and CTO of Airspace, one of San Diego's fastest-growing logistics tech companies.Ryan shares how Airspace built a $100M business around time-critical shipping, moving everything from organs for transplant to parts for grounded airplanes. He reveals how the team uses AI and machine learning to optimize routing in real time—saving lives, money, and minutes.This episode dives into:The story behind Airspace and its life-saving logistics technologyHow to build a tech-enabled logistics startup from zero to scaleWhy trust and delegation are essential for growing your engineering teamLessons in leadership, hiring, and managing growth from startup to global scaleThe role of AI and neural networks in transforming traditional industriesWhether you're a startup founder, CTO, or just fascinated by the intersection of AI and logistics, this conversation will inspire you to think bigger about what technology can achieve when the stakes are real. Don't forget to subscribe to the Chaos to Clarity Podcast for more invaluable episodes to help you grow your business and stay ahead of the curve!To reach out to Eric, visit https://chaostoclarity.io/

3ème et dernier numéro de notre Hors-Série tournée le 7/10 à Station F à l'occasion du GenAI Day organisé par AWS*, partenaire de tech 45'Tu vas faire la connaissance de Frédéric, cofondateur et CTO de Moments Lab. Sa mission : rendre toute vidéo facile à trouver pour refaire du contenu frais depuis ses archives en extrayant automatiquement les moments clés. Il s'est lancé avec des grands médias comme l'AFP, aujourd'hui il travaille avec les marques, les producteurs ou le monde du sport comme la FFF pour mieux valoriser leurs contenus. Moments Lab vient de lever 24M$ afin d'accélérer sur le marché

Greg and Matias interview Luis Voloch, CEO and Co-Founder of Jimini Health, an AI behavioral health company. He previously co-founded and served as CTO of Immunai, where he applied machine learning to immunology and drug discovery. In this episode, we discuss: How LLMs expand the scope of machine learning from rule-based tasks to open-ended reasoning and dialogueWhy healthcare adoption is tiered, beginning with clinician-facing AI scribes and moving toward patient-facing companies with human-in-the-loop to enhance quality of careWhy human oversight is essential and how AI can augment complex clinical work instead of replacing itThe competitive advantage from workflows, data, and trust via purpose built AI systemsThe path toward precision psychiatry, where continuous, language-based interactions can generate rich behavioral data to inform diagnostics, treatment, and drug discoveryCredits:Created by Greg Kubin and Matias SerebrinskyHost: Matias SerebrinskyProduced by Caitlin Ner & Nico V. Rey Find us at businesstrip.fm and psymed.venturesFollow us on Instagram and Twitter!Theme music by Dorian LoveAdditional Music: Distant Daze by Zack Frank

The Department of Air Force has agreed to increase the annual SpaceX launch cadence at Vandenberg Space Force Base (VSFB) in California. Germany and France have signed an implementation agreement for satellite-based early warning system Odin's Eye II. Sateliot plans to test a system that allows its satellites to connect with IoT devices without relying on satellite navigation systems, and more. Remember to leave us a 5-star rating and review in your favorite podcast app. Be sure to follow T-Minus on LinkedIn and Instagram. T-Minus Guest Our guest today is Jeff Thornburg, CEO and CTO at Portal Space. You can connect with Jeff on LinkedIn, and learn more about Portal on their website. Selected Reading Notice of Availability of the Final Environmental Impact Statement and Record of Decision for Authorizing Changes to the Falcon Launch Program at Vandenberg Space Force Base, California Vandenberg Space Force Base Launch EIS Germany, France sign deal for satellite-based early warning system- Reuters Europe eyes tech independence with satellite IoT operator Sateliot Beyond Gravity Expands Solar Array Mechanism Production Capacity Fivefold Lunar Outpost Announces MARS-1 Mission to Advance Autonomous Swarm Capabilities for U.S. Air Force and U.S. Space Force City of El Paso moves to rescue stalled $40 million federal grant for aerospace manufacturing 4,000 gone: Inside NASA's brain drain- The Planetary Society Understanding satellite re-entry: UK Space Agency leads global research on atmospheric ablation https://space.n2k.com/podcasts/t-minus/290 Share your feedback. What do you think about T-Minus Space 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? You too can reach the most influential leaders and operators in the industry. Here's our media kit. Contact us at space@n2k.com to request more info. Want to join us for an interview? Please send your pitch to space-editor@n2k.com and include your name, affiliation, and topic proposal. T-Minus 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

In this episode of Reboot IT, host Dave Coriale sits down with Ben Muscolino, CEO of Breezio, Data Sangria, and co-founder at Vortacity, and Ryan O'Donnell, CTO at Vortacity, to demystify cybersecurity for associations and nonprofits. They explore the evolving threat landscape, the importance of proactive security measures, and how organizations can build a culture of cybersecurity without fear or shame. From phishing-resistant MFA to red team engagements, this conversation is packed with practical advice for leaders and IT professionals alike. Themes and Topics: Cybersecurity Culture and Leadership Cybersecurity must be embraced across the organization, not just by IT. Leaders should foster a “shameless and blameless” environment for open dialogue. Culture impacts how teams respond to threats and education efforts. Phishing and Account Takeover Risks Phishing remains the most common entry point for breaches. Attackers often dwell silently before exploiting access. Social engineering tactics are becoming more sophisticated. Cybersecurity Maturity  Organizations should progress from asset inventory to vulnerability scans, pen tests, and red team engagements. Skipping foundational steps can lead to ineffective or costly security efforts. Tailoring assessments to organizational needs is key. Penetration Testing and Red Teaming Pen tests simulate real-world attacks to expose vulnerabilities. Red team engagements test people, processes, and systems under stealth conditions. Trusted agents within the organization coordinate red team efforts discreetly. Deception Technology and Canary Tokens Canary tokens act as tripwires to detect post-compromise behavior. These tools are low-cost and high-impact for early breach detection. Ideal for organizations with limited cybersecurity resources. Budgeting and Advocacy for Cybersecurity Cybersecurity is often the first to be cut during budget reviews. IT leaders must communicate risk in terms of cost and organizational responsibility. Starting small is better than doing nothing—get from zero to one.

How do we know if our AI… is really AI? This week, Technology now goes under the hood of AI products when Baradji Diallo, an AI Innovation Architect in Technology Strategy and Evaluation working in the office of the CTO joins us to tell us more about how he and his team investigate whether AI products are really what they claim to be.This is Technology Now, a weekly show from Hewlett Packard Enterprise. Every week, hosts Michael Bird and Aubrey Lovell look at a story that's been making headlines, take a look at the technology behind it, and explain why it matters to organizations.About Baradji Diallo: https://www.linkedin.com/in/baradji-diallo/Sources:https://www.statista.com/outlook/tmo/artificial-intelligence/worldwidehttps://www.historyofdatascience.com/ai-winter-the-highs-and-lows-of-artificial-intelligence/https://www.techtarget.com/searchenterpriseai/definition/AI-winterFunding a Revolution: Government Support for Computing Research. National Academy Press. Archived from the original on 12 January 2008. Retrieved 08 September 2025https://web.archive.org/web/20080112001018/http://www.nap.edu/readingroom/books/far/ch9.htmlhttps://www.birow.com/az-elso-ai-telhttps://www.holloway.com/g/making-things-think/sections/the-second-ai-winter-19871993https://www.forbes.com/sites/johnwerner/2024/04/09/three-lessons-learned-from-the-second-ai-winter/

In this episode of Convergence.fm, Ashok Sivanand sits down with Farhan Thawar, Head of Engineering at Shopify, to go behind the scenes of how Shopify not only keeps pace with rapid change but leads it.  The discussion explores how Shopify became one of the first platforms to allow merchants to sell products directly inside ChatGPT, why that move challenges Amazon's dominance, and what it takes to build a company that learns faster than it fails.  Farhan explains the systems that make being first repeatable rather than accidental, including Shopify's internal LLM proxy, MCP servers, experimentation culture, and democratized tooling.  If you are a CEO, COO, or CTO looking to scale through culture, systems, and intentional technology adoption, this episode shows what it looks like to operate with conviction and long-term relevance. Key Topics and Moments: Shopify and OpenAI's commerce integration. The same day OpenAI enabled in-chat shopping, Shopify merchants were already live. Farhan explains what it takes for a company of Shopify's size to move with that kind of speed Competing with Amazon through culture, not size. Shopify has 3,000 engineers compared to Amazon's 35,000+, yet continues to outpace bigger players by focusing on coherence, focus, and empowered execution rather than bureaucracy and scale. The meaning behind Tobi Lütke's April AI memo. Farhan discusses how Shopify operationalized its “AI is non-optional” stance, what baseline expectations look like, and how performance is evaluated in an AI-native organization. AI reflexivity and the “three buckets.” Farhan explains how teams are taught to recognize “AI not allowed,” “AI optional,” and “AI mandatory” problems so that employees develop instinct for when to reach for AI — and when to pick up the screwdriver. The risk of ‘vibe coding' and why hand tools still matter. Farhan shares lessons from real incidents inside and outside Shopify, like the Cloudflare outage caused by unreviewed AI-generated code, and how engineering leaders teach judgment, not just prompting. The LLM Proxy and MCP Servers. Inside look at how Shopify democratized AI across departments by building an internal platform that connects all major models and corporate data sources, enabling every employee to build workflows and ask intelligent questions — not just engineers. AI budgeting vs. SaaS budgeting. Farhan explains why AI usage isn't treated like traditional SaaS spend and how Shopify encourages heavy experimentation by rewarding impact rather than punishing token consumption. Experimentation as a system. How teams are encouraged to show work at 20%, not 80%, and why the speed of learning, not perfection, is the true productivity metric. Subtraction as leadership. Farhan shares how founders and executives must delete outdated processes, rules, and layers of bureaucracy to make room for new ideas — why process should only exist if it makes something possible or 10x better. Hiring and growing AI-native talent. Why Shopify doubled down on internships, hiring 1,000 interns this year and next, and how younger engineers push full-timers to stay current by being born AI-native “centaurs.” Responsibility versus accountability. Why leaders can delegate tasks but not responsibility, and how to stay in the work without disempowering the team. Certainty as intolerance. Farhan's reflection on why overconfidence kills creativity, and how leaders can replace fixed beliefs with wayfinding, curiosity, and adaptive decision-making. Rapid-fire reflections for CEOs. Ashok and Farhan close with lessons on showing unfinished work, modeling curiosity, and removing friction as a cultural operating system. Who Should Listen: Mid-market CEOs, COOs, and CTOs building adaptable organizations that can scale.  Leaders focused on culture and transformation, not just technology adoption.  Operators who want to apply product thinking and modern software practices to traditional industries. Notable Quotes: “We have a baseline expectation of using AI. If you have two people, one using AI and one not, they will both be evaluated the same.” – Farhan Thawar on AI usage expectations  “We don't like waste, but we don't have limits. If you believe in your workflow, use the best model for your problem solving.” – Farhan Thawar on AI token cost and consumption   “You can now buy directly in chat from Shopify merchants. That is a major shift in how people discover and buy online.” – Ashok Sivanand on Shopify launching all their merchants on ChatGPT's Shop feature on the very day it was launched  Related Reading and References: Shopify Blog: Shopify and OpenAI bring commerce to ChatGPT (official announcement) - https://www.shopify.com/news/shopify-open-ai-commerce?podconvergence   Reuters: OpenAI partners with Shopify, Stripe, and others to expand ChatGPT integrations - https://www.reuters.com/world/americas/openai-partners-with-etsy-shopify-chatgpt-checkout-2025-09-29/?podconvergence   TechCrunch: Inside Tobi Lütke's AI Memo and Shopify's Cultural Shift - https://techcrunch.com/2025/04/07/shopify-ceo-tells-teams-to-consider-using-ai-before-growing-headcount/?podconvergence  Farhan's opinions about token consumption - https://x.com/fnthawar/status/1930367595670274058  Farhan's article about “looking stupid”- https://medium.com/helpful-com/why-looking-stupid-is-my-superpower-2ee3fe00a748?podconvergence  The Convergence.fm first episode with Farhan in 2024 - https://convergence.fm/episode/from-code-to-culture-how-shopify-thrives-under-farhan-thawars-thought-leadership  The Convergence.fm Episode about Tobi Lütke's leaked AI memo mandate, and our 6 takeaways - https://convergence.fm/episode/shopifys-leaked-ai-mandate-explained-6-takeaways-for-your-product-team  Tobi's memo Tweet - https://x.com/tobi/status/1909231499448401946 Unreasonable Hospitality (book) - https://www.amazon.com/Unreasonable-Hospitality-Remarkable-Giving-People/dp/0593418573  Farhan's Twitter (public handle) - https://x.com/fnthawar  Reflection and Action Steps: Start with your mission. Before choosing tools, clarify what problem you are solving and what your business stands for.  Enable your team. Ask whether you are removing barriers or creating them.  Are employees empowered to experiment?  Model the change. Use AI tools yourself. Share your learnings, wins, and failures openly. F Foster learning. Consider introducing internal forums or “thinking clubs” that encourage curiosity and reflection across your team.  

In this high-speed episode of Life of a CISO, Dr. Eric Cole welcomes Ben Wilcox, a rare dual-role executive serving as both CISO and CTO at ProArch — and a race car driver to boot. Ben shares his 30-year journey from building websites in the early internet days to leading enterprise security and technology strategy today. Dr. Cole and Ben dive into the challenges and opportunities of balancing technical innovation with cybersecurity, how to win executive support for security investments, and how to leverage AI for productivity. Ben also drops valuable advice for aspiring CISOs, emphasizing the power of saying “yes” to new challenges, building business-aligned security strategies, and continuously learning. This episode is packed with practical insights on executive communication, risk quantification, AI in cybersecurity, and even how lessons from the racetrack apply to the boardroom.  

In times of major change–whether in IT or the economy–organizations should take a fresh look at their sourcing strategy. Companies outsourcing key functions need to re-examine the reasoning and scrutinize the results. The same goes for in-house functions. IT leaders need to ask: is our sourcing strategy in line with our current corporate and IT... Read more »

Please enjoy this encore of Career Notes. Founder and CTO of ShiftLeft, Chetan Conikee shares his story from computer science to founding his own company. When choosing a career, Chetan notes that "the liking and doing has to matter and be in conjunction with each other." Explaining the parallels in his home country of India and where he studied his for his masters in the US, Chetan stresses the need to find someone who inspires you to follow and learn from. On being an entrepreneur, he says, "The entrepreneurial mindset is a sum total of many sufferings that lead to success." Chethan advises you take time out to write narratives so that you are remembered and so that others following a similar path may learn from you. We thank Chetan for sharing his story with us. Learn more about your ad choices. Visit megaphone.fm/adchoices