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Enterprise AI transformation strategies and adoption insights from Bernard Marr, Emerj, Enterprise AI Innovators, AI Realized, MIT Sloan, Technovation, and CXOTalk.
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Bernard Marr
AI in Business
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Bernard Marr
AI in Business
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Security by Design: How Ally Financial's CISO Builds Resiliency Into the Cloud | Technovation 1119
A digital-only bank can't afford to retrofit security. Ally Financial builds it in from the start. In this episode of Technovation, Peter High speaks with Spencer Cremers, Chief Information Security Officer at Ally Financial, about designing security and resiliency into cloud infrastructure by default — and what that requires organizationally. Cremers spent 20+ years at Ally progressing through divisional CIO and engineering roles before becoming CISO, including a stretch as interim Chief Information and Data Officer. That delivery background shapes how he positions security: not as a gatekeeper handing down requirements late in the cycle, but as a design partner embedded from the start. 🎧 An audio-only version of this interview is available as episode 1119 of Metis Strategy’s podcast, #Technovation with Peter High. Chapters: 00:00 Introduction and Partnering Approach 02:44 Welcome and Guest Introduction 04:32 Role of the Chief Information Security Officer 06:34 Technology as the Primary Interaction Point 09:10 Dual Leadership Roles and Experiences 12:25 Familiarity with Interim Leadership 14:14 Transition to New Leadership 16:32 Background in Technology Leadership 19:03 Hybrid Cloud Environment and Centralization 20:52 Crisis Simulations and Security Assessments 22:55 Theoretical to Practical Applications 27:01 Building an Ecosystem for Delivery This episode is sponsored by Tines. 🌍 Learn more: https://www.metisstrategy.com/interview/spencer-cremers/ 📱 Follow us on social: 🔹 LinkedIn: https://www.linkedin.com/company/metis-strategy/ 🔹 Twitter/X: https://twitter.com/MetisStrategy 🔹 Facebook: https://www.facebook.com/technovationpodcast/ 🔹 Instagram: https://www.instagram.com/technovationwithpeterhigh/ #cybersecurity #artificialintelligence
If You Don't Measure AI, it's ZERO VALUE
How do you measure the ROI of AI? If you cannot measure it, it's zero: ideally measured in real time, on a live dashboard, with numbers you can take to your CFO. Patrick Bangert, Chief AI Officer at Occidental Petroleum, estimates that in physical industries the yearly return is, roughly speaking, probably 20 to 30 times the AI investment. #AIROI #AIStrategy
Why you don't need the most expensive AI model #EnterpriseAI #LLM
Are open weight AI models as good as frontier models? For everyday use, they are less good on scientific metrics but absolutely comparable in real-life experience, and each new frontier version currently adds very little. Patrick Bangert, Chief AI Officer at Occidental Petroleum, explains. #LLM #EnterpriseAI
XYZ Venture Capital Founder Ross Fubini on the Wave Behind Breakout Startups | Technoventure 29
What separates a great founder from a great company? For XYZ Venture Capital Founder and Managing Partner Ross Fubini, execution is only part of the equation. The company also needs to find its “wave.” In this episode of Technoventure, Fubini joins Peter High to unpack the investment philosophy behind XYZ’s bets on founder networks, defense technology, and AI. Drawing on his experience as an engineer, entrepreneur, executive coach, and investor. 🎧 An audio-only version of this interview is available as episode 29 of our podcast series, Technoventure. 🌍 Learn more: https://www.metisstrategy.com/podcast-technoventure/ 📱 Follow us on social: 🔹 LinkedIn: https://www.linkedin.com/company/metis-strategy/ 🔹 Twitter/X: https://twitter.com/MetisStrategy 🔹 Facebook: https://www.facebook.com/technovationpodcast/ 🔹 Instagram: https://www.instagram.com/technovationwithpeterhigh/ ---------------- #podcast #venturecapital #vc #pathtosuccess
The Two AI Hypes Leaders Believe
Which AI hype should leaders ignore? Two claims: that AI is doable in days, when it takes months, and that it will get rid of all of us, when it will make us more effective. Patrick Bangert, Chief AI Officer at Occidental Petroleum, says to separate what the financially vested "tech bros" say from what everybody else says, and believe everybody else. #AIHype #AIStrategy
How Snap Measures the Value of AI Agents: Output not Tokens
Stop tracking tokens to measure AI's value. Focus on output metrics that impact the business rather than gameable activity counts or vanity KPIs. Saral Jain is CIO and Head of Engineering at Snap. Full episode: https://youtu.be/hKhPQuIg-hA Episode page: https://www.cxotalk.com/episode/snap-agentic-ai-software-development-at-scale Subscribe for weekly conversations with leading technology experts. #Shorts #AIAgents #EngineeringLeadership #CIO #CXOTalk
How Nationwide CTO Michael Carrel Is Building an AI-Ready Workforce | Technovation 1118
In this episode of Technovation, Nationwide CTO Michael Carrel joins Peter High to discuss how the company is building an AI-ready workforce while modernizing technology across its insurance and financial services businesses. Carrel explains why Nationwide made everyday AI available to associates across the company and paired access with future-ready learning sprints, manager certifications, and role-specific skill development. He also shares how Nationwide is applying generative and agentic AI across underwriting, claims, software engineering, and other domains while maintaining disciplined governance, trusted data, and human judgment. 🎧 An audio-only version of this interview is available as episode 1118 of Metis Strategy’s podcast, #Technovation with Peter High. This episode is sponsored by Tines. Learn more at https://tines.io 🌍 Learn more: https://www.metisstrategy.com/technovation-podcast/ 📱 Follow us on social: 🔹 LinkedIn: https://www.linkedin.com/company/metis-strategy/ 🔹 Twitter/X: https://twitter.com/MetisStrategy 🔹 Facebook: https://www.facebook.com/technovationpodcast/ 🔹 Instagram: https://www.instagram.com/technovationwithpeterhigh/ ---------------- #Technovation #AI #Podcast #techstrategy
AI in Business Podcast·4d agoModernizing Finance Data for Faster and More Reliable Operations - with Ciprian Porutiu of Marsh
Finance teams face immense pressure to operate faster, but rushing to automate over fragmented systems only compounds errors downstream. Ciprian Porutiu, SVP of Strategic Initiatives at Marsh, joins host Yolandi de Weerdt to explain why establishing a common language and federated data domains matters far more than forcing everything into a single centralized database. He shares practical approaches for managing phased rollouts, involving cross-functional users early in system design, and connecting underlying data governance directly to strategic business performance. This episode is sponsored by Fynapse. Learn how financial institutions are digitizing paper-based records to unlock usable data for AI, and using alternative data like public web and social signals to enhance risk assessment, download our free PDF report, "AI in Financial Services Executive Cheat Sheet" at emerj.com/fcs1
AI in Business Podcast·6d agoManaging Change Across Modern Financial Operations - with Nathaniel Bell of Wells Fargo
For large banks, the barrier to AI at scale is rarely the model. It's decades of fragmented systems, inherited through mergers, acquisitions, and new products, where each team trusts its own data and no single view of context exists. Agentic AI doesn't fix that fragmentation; it amplifies it across every user and every prompt. In this episode, Nathaniel Bell, Data Management Director at Wells Fargo, joins host Yolandi de Weerdt, to examine why the real challenge for regulated institutions is scaling trust while automating, why leaders should judge new technology on the business outcome it can prove rather than the demo, and why no process should be automated before it's standardized. Bell outlines the practical shifts underway: from manual attestations and spreadsheets toward automated logs that show what happened in a workflow, from governance as document review toward governance built into workflows as code, and from buying new tools toward changing how teams work once they have them. According to Nielsen, 91% of podcast listening happens alone, indicating deep, undistracted attention — ideal for complex B2B messaging. To learn how leading brands and AI startups connect with enterprise AI buyer audiences at scale, download our media kit at emerj.com/AD1
Why Most AI Pilots Fail (And How to Fix It)
Patrick Bangert, Chief AI Officer at Occidental Petroleum, advises enterprise leaders to avoid running AI pilots altogether. He explains that most enterprise AI initiatives fail during the transition from a successful pilot to a full-scale deployment. Instead, he recommends securing funding and management support from the outset and viewing adoption as the key to converting projected returns into actual benefits. His team manages hundreds of AI systems across Oxy's physical operations, including CO2 injection in the Permian and the deployment of cameras and edge computers in the field. The discussion covers how these systems are trained, secured, funded, adopted, and evaluated. YOU'LL DISCOVER ✅ Why POC should stand for proof of competency, not proof of concept, and why Patrick can validate a concept in ten minutes by searching for it ✅ How free or discounted pilots leave client management hearing about a project for the first time at the results meeting, and what that does to the budget cycle ✅ The change management method that gets field operators to use a tool: stakeholders involved before the project starts, two-week sprints, co-creation and training ✅ Why revenue impact comes first, cost savings second, and adoption is the metric that lets either one happen ✅ How machine learning and optimization set CO2 injection across dozens of wells 24/7 while LLMs only handle the communication layer ✅ Why cleansing the data is the secret sauce of training, with physics rules and hard engineering limits as guardrails ✅ Why Patrick errs on the side of buying infrastructure software rather than building it, and why Oxy does much of its LLM work on open weight models with no token cost ✅ Patrick's rule that if you cannot measure it, it is zero, and the two pieces of hype leaders should stop believing ⏱️ TIMESTAMPS 0:00 Introduction 0:10 LLMs communicate; they do not decide 2:53 Field conditions push computing to the edge 5:05 Cleaning the data is the secret sauce 11:09 Buy rather than build; run open weights 17:58 Proprietary models win; vendors need scientific proof 21:25 AI results still need human validation 26:45 Scaling AI is a hardware problem 30:14 Adoption is how the revenue KPI happens 34:02 Skip the pilot, commit on day one 39:41 If you cannot measure it, it's zero 42:07 AI fails for human reasons, not technology Join us live and ask the guests your own questions: https://www.cxotalk.com/subscribe Subscribe for weekly conversations with leading business and technology leaders. Get the CXOTalk newsletter: https://newsletter.cxotalk.com Show notes, transcript, and summary: https://www.cxotalk.com/episode/occidental-petroleums-chief-ai-officer-ai-at-scale-in-the-physical-world Episode 932 | Recorded September 18, 2026 #CXOTalk #EnterpriseAI #AIAdoption #PilotPurgatory #IndustrialAI #OilAndGas #ChiefAIOfficer #AIStrategy #CIO
How Snap boosted dev productivity by 75% #AgenticAI #DevLife
Agentic AI is driving massive efficiency gains at Snap, boosting developer productivity by 75%. Saral Jain, Snap's Head of Engineering, explains how his team uses autonomous agents to ship code faster while simultaneously cutting severe outages by 57%. This breakdown offers a blueprint for engineering leaders looking to scale software engineering operations safely. Full episode: https://youtu.be/hKhPQuIg-hA Episode page: https://www.cxotalk.com/episode/snap-agentic-ai-software-development-at-scale #Shorts #AgenticAI #DeveloperProductivity #SoftwareEngineering #CXOTalk
How Trane Technologies Uses AI to Make Buildings More Autonomous | Technovation 1117
What happens when AI moves beyond generating content and starts autonomously optimizing the physical world? In this episode of Technovation, Peter High speaks with Riaz Raihan, Senior Vice President and Chief Digital Officer of Trane Technologies, about how the company is applying AI, connected equipment, and massive volumes of IoT data to make buildings more autonomous and energy efficient. Riaz explains how BrainBox AI acts as an “autopilot” for complex HVAC systems, continuously making small adjustments to optimize energy use without sacrificing comfort. He also discusses Trane Technologies’ three-pillar AI strategy, responsible data use and cybersecurity, and a future in which smart, resilient buildings coordinate energy consumption, storage, and generation autonomously. 🎧 An audio-only version of this interview is available as episode 1117 of Metis Strategy’s podcast, #Technovation with Peter High. This episode is sponsored by Tines. Learn more at https://tines.io 🌍 Learn more: https://www.metisstrategy.com/technovation-podcast/ 📱 Follow us on social: 🔹 LinkedIn: https://www.linkedin.com/company/metis-strategy/ 🔹 Twitter/X: https://twitter.com/MetisStrategy 🔹 Facebook: https://www.facebook.com/technovationpodcast/ 🔹 Instagram: https://www.instagram.com/technovationwithpeterhigh/ ---------------- #Technovation #AI #Podcast #techstrategy
AI writes 90% of Snapchat's code
At Snapchat, AI reviews 90% of all new code within the first 5 to 10 minutes and has found tens of thousands of bugs. Snap's CIO and head of engineering explains. Full episode: https://youtu.be/hKhPQuIg-hA Episode page: https://www.cxotalk.com/episode/snap-agentic-ai-software-development-at-scale #Shorts #AgenticAI #AICodeReview #SoftwareEngineering #CXOTalk #snapchat
How Snap Builds AI Agents: Solve One Problem, Not 50
Saral Jain, CIO and head of engineering at Snap, explains why context beats the model every time in modern software development. He outlines his strategy for integrating AI workflows into existing systems rather than treating them as an afterthought. Learn how to prioritize the right use cases for your Agentic AI strategy. Full episode: https://youtu.be/hKhPQuIg-hA Episode page: https://www.cxotalk.com/episode/snap-agentic-ai-software-development-at-scale Subscribe for weekly insights on leading technology teams. #Shorts #AIAgents #AgenticAI #EnterpriseAI #CXOTalk #snapchat
Occidental Petroleum’s Chief AI Officer: AI at Scale in the Physical World
Companies are moving AI into physical operations and deciding which projects justify the investment. Occidental Petroleum’s Chief AI Officer describes how Oxy runs hundreds of AI systems and offers practical advice.
Snapchat: What Happens When AI Generates More Code Than Humans Can Review? #AICode #SoftwareCrisis
How do you manage AI code review when agents write more code than humans can read? Saral Jain, Head of Engineering and CIO at Snap Inc., explains why the future of software engineering isn't manual line-by-line inspection. Instead, he outlines the essential AI guardrails and accountability structures needed to verify agentic AI output at scale. Full episode: https://youtu.be/hKhPQuIg-hA Episode page: https://www.cxotalk.com/episode/snap-agentic-ai-software-development-at-scale Subscribe for weekly insights on leading technology teams. #Shorts #AICodeReview #SoftwareEngineering #AgenticAI #CXOTalk #snapchat
AI Realized Podcast·Sep 17#48 Visual AI Lets You Ask Business Questions of Your Video w/Alex Gammelgard
Video is becoming machine-readable the way text has been for decades, and the unlock is not just replicating the eyes on a situation but the human judgment about it. Alex Gammelgard explains what that opens up across inspection, worker safety, traffic operations, retail and decades of archived game film, and what separates the pilots that scale from the ones that stall.
Goodyear CIO Raman Mehta on Making Speed the Strategy for Enterprise AI | Technovation 1116
For Goodyear CIO Raman Mehta, enterprise AI cannot remain stuck in pilot mode. His mandate is to bring a startup mindset to a 128-year-old manufacturer by making speed a strategy and turning AI experimentation into measurable business impact. In this episode of Technovation, Raman joins Peter High to discuss Goodyear’s push toward industrial-scale AI, Lighthouse Projects, enterprise-grade intelligence, and connected manufacturing. He explains why trusted master data is essential for AI systems that reason, how his team is using AI itself to improve data quality, and why reskilling must happen through live work rather than courses alone. 🎧 An audio-only version of this interview is available as episode 1116 of Metis Strategy’s podcast, #Technovation with Peter High. This episode is sponsored by Tines. Learn more at https://tines.io 🌍 Learn more: https://www.metisstrategy.com/technovation-podcast/ 📱 Follow us on social: 🔹 LinkedIn: https://www.linkedin.com/company/metis-strategy/ 🔹 Twitter/X: https://twitter.com/MetisStrategy 🔹 Facebook: https://www.facebook.com/technovationpodcast/ 🔹 Instagram: https://www.instagram.com/technovationwithpeterhigh/ ---------------- #Technovation #AI #Podcast #techstrategy
AI in Business Podcast·Sep 17Transforming Cardiovascular Care — How AI-Driven Insights Unlock Value for Hospitals and Clinics - with Jim Hartman of Cleerly
Hospitals and clinics continue to face a central challenge: extensive cardiac testing still fails to deliver clear, consistent diagnostic answers, slowing decision‑making and creating downstream operational and financial strain. In this episode, Jim Hartman, Chief Commercial Officer at Cleerly, examines with host Marilie Fouché how AI‑driven coronary CTA analysis strengthens diagnostic certainty, streamlines workflows across radiology, cardiology, and the cath lab, and supports more defensible adoption decisions for clinical and operational leaders. The discussion highlights practical evaluation criteria — clinical impact, workflow efficiency, and financial return — that executives can use to assess whether advanced imaging technologies can be integrated and scaled within their organizations. This episode is sponsored by Cleerly. Learn how to identify AI trends by tracking where venture funding is flowing, and by listening to how leading CEOs describe risk and competitive strategy, download our free PDF report, "3 Ways to Discover AI Trends in Any Sector" at emerj.com/ait1
AI in Business Podcast·Sep 15Closing the Gap Between Commercial Plans and What Happens on the Shelf - with Stephanie Lilley of Reckitt
For consumer goods companies, the gap between the commercial plan agreed at head office and what gets executed on the shelf is one of the costliest disconnects in the business — investment goes out against activity that never happens, and revenue never arrives against activity that does. In this episode, Stephanie Lilley, VP of Transformation for Europe at Reckitt, examines why rigid rep call cycles and fragmented store-level data keep that gap open, and where AI is starting to close it — from image recognition that verifies in-store compliance to dynamic routing that sends field teams to the stores with the highest return — with host Daniel Faggella, Emerj CEO and Head of Research. She outlines the practical shifts underway: from fixed call files toward a mix of core relationship stores and flexible, ROI-driven visits, from full-time field coverage toward crowdsourced compliance checks, and from geography as the deciding factor toward the quality and recency of store-level data. Learn how these conversations drive pipeline for AI brands — download our media kit at emerj.com/AD1
Me, Myself, and AI·Sep 15AI Goes Grocery Shopping: Instacart’s David McIntosh
With the acquisition of the Caper cart, a technology-enabled shopping cart, grocery-delivery company Instacart began bridging the gap between online and in-person shopping. On today’s episode, David McIntosh, the company’s former chief connected stores officer, joins host Sam Ransbotham to share how physical AI is helping shoppers track their purchases, retailers manage inventory, and product manufacturers stock the right items at the right times. Guest bio: David McIntosh is Instacart’s former chief connected stores officer, where he led the company’s in-store offerings including Caper, an AI-powered smart-cart, enabling retailers to deliver seamless omnichannel retail experiences across online and in-store. Prior to joining Instacart in 2021, McIntosh was the CEO and cofounder of Tenor, a leading GIF and expression search engine integrated into top messengers including WhatsApp, Discord, and iMessage, which Google acquired in 2018. At Google, McIntosh grew Tenor to over one billion users and more than one billion queries per day. McIntosh was previously named Forbes 30 under 30 in consumer technology. He attended the University of California at Berkeley and studied electrical engineering and computer sciences. Me, Myself, and AI is a podcast produced by MIT Sloan Management Review and hosted by Sam Ransbotham. It is engineered by David Lishansky and produced by Allison Ryder. We encourage you to rate and review our show. Your comments may be used in Me, Myself, and AI materials.
How Bobcat CDO Roy Greco Is Building a Digital Foundation for AI and Growth | Technovation 1115
Bobcat is transforming machines that were once physical “tool carriers” into software-enabled, connected products. Behind that evolution is a broader effort to modernize the digital foundation of the business. In this episode of Technovation, Peter High speaks with Bobcat Chief Digital Officer Roy Greco about harmonizing global processes, building a trusted data intelligence platform, and scaling practical AI applications. 🎧 An audio-only version of this interview is available as episode 1115 of Metis Strategy’s podcast, #Technovation with Peter High. This episode is sponsored by Tines. Learn more at https://tines.io This episode is sponsored by Retool. Learn more at https://retool.com/technovation 🌍 Learn more: https://www.metisstrategy.com/technovation-podcast/ 📱 Follow us on social: 🔹 LinkedIn: https://www.linkedin.com/company/metis-strategy/ 🔹 Twitter/X: https://twitter.com/MetisStrategy 🔹 Facebook: https://www.facebook.com/technovationpodcast/ 🔹 Instagram: https://www.instagram.com/technovationwithpeterhigh/ ---------------- #Technovation #AI #Podcast #techstrategy
AI in Business Podcast·Sep 14Why Traditional Training Can't Keep Technical Teams Current - with Nicola Lyons of Andela
Traditional, event-based training can't keep pace with technical skills that now shift every six to twelve months. In this episode, Nicola Lyons, Senior Director of Talent Operations at Andela, breaks down why assessment-based, personalized learning is replacing one-time training programs. The conversation covers how leaders can build continuous learning loops that keep technical teams current without turning into another mandatory course. This episode is sponsored by Andela. Reach VP+ leaders at America's largest enterprises through Emerj's podcasts. Emerj reaches 1 million listeners annually. Learn how AI brands use Emerj to generate leads: emerj.com/AD1
Shardul Shah of Index Ventures on Why the Founder Is the Investment Thesis | Technoventure 28
Before the market is obvious, what gives an investor the conviction to act? In this episode of Technoventure, Peter High speaks with Shardul Shah, Partner at Index Ventures, about why exceptional founders can matter more than early market signals. Shardul shares lessons from investing in companies including Datadog and Wiz and explains how he evaluates conviction, high agency, and founders who can “hold contradiction with ease.” 🎧 An audio-only version of this interview is available as episode 28 of our podcast series, Technoventure. 🌍 Learn more: https://www.metisstrategy.com/podcast-technoventure/ 📱 Follow us on social: 🔹 LinkedIn: https://www.linkedin.com/company/metis-strategy/ 🔹 Twitter/X: https://twitter.com/MetisStrategy 🔹 Facebook: https://www.facebook.com/technovationpodcast/ 🔹 Instagram: https://www.instagram.com/technovationwithpeterhigh/ ---------------- #podcast #venturecapital #vc #pathtosuccess
PG&E CIO Ajay Waghray on Building Trusted Data for Predictive AI | Technovation 1114
Moving from reactive operations to predictive AI starts with trusted data. In this episode of Technovation, Peter High speaks with Ajay Waghray, EVP and Chief Information Officer of PG&E, about the technology, data, process, and people transformation behind the company’s shift toward more predictive and proactive operations. Waghray explains how PG&E combines trusted asset, weather, environmental, sensor, and smart-meter data to support continuous monitoring and AI-driven decision-making. He shares how these capabilities have helped avoid 19 million outage minutes, prevent 28 potential ignitions, and eliminate more than 5,000 emergency response hours. The conversation also explores PG&E’s three-pillar AI strategy, foundation, democratization, and execution, and why cybersecurity, responsible AI, and standardized processes must advance together. Listen to the full episode to hear how PG&E is building the foundation for predictive AI at enterprise scale. 🎧 An audio-only version of this interview is available as episode 1114 of Metis Strategy’s podcast, #Technovation with Peter High. This episode is sponsored by Tines. Learn more at https://tines.io This episode is sponsored by Retool. Learn more at https://retool.com/technovation 🌍 Learn more: https://www.metisstrategy.com/technovation-podcast/ 📱 Follow us on social: 🔹 LinkedIn: https://www.linkedin.com/company/metis-strategy/ 🔹 Twitter/X: https://twitter.com/MetisStrategy 🔹 Facebook: https://www.facebook.com/technovationpodcast/ 🔹 Instagram: https://www.instagram.com/technovationwithpeterhigh/ ---------------- #Technovation #AI #Podcast #techstrategy
AI in Business Podcast·Sep 8Responsible Generative AI in Healthcare and What Leaders Need to Know for 2026 - with Rhett Alden of Elsevier Health
Generative AI is entering clinical workflows just as healthcare institutions grapple with black-box outputs, unclear regulation, and the need for provable accuracy. In this episode, Rhett Alden, CTO at Elsevier, joins Emerj's Yolandi de Weerdt to articulate how claim-level validation and transparent sourcing are becoming prerequisites for clinical trust in AI. The conversation covers emerging AI governance boards modeled on clinical trial review structures, the limits of current US regulation, and why final clinical responsibility remains with the physician. Learn the strategies Emerj uses to help leading AI brands and startups connect with their ideal enterprise AI buyers: emerj.com/AD1
Tines Co-Founder Thomas Kinsella on Governing the Rise of Wild Code | Technovation 1113
When AI makes everyone a software builder, who governs what gets built? In this episode of Technovation, Peter High speaks with Thomas Kinsella, Co-Founder and COO of Tines, about the rise of “wild code”: invisible and ungoverned agents, automations, scripts, and workflows spreading across the enterprise. Kinsella explores how CIOs can encourage AI experimentation while creating the visibility, security, and controls required at scale. 🎧 An audio-only version of this interview is available as episode 1113 of Metis Strategy’s podcast, #Technovation with Peter High. This episode is sponsored by ElevenLabs. Learn more at https://elevenlabs.io/technovation This episode is sponsored by Retool. Learn more at https://retool.com/technovation 🌍 Learn more: https://www.metisstrategy.com/technovation-podcast/ 📱 Follow us on social: 🔹 LinkedIn: https://www.linkedin.com/company/metis-strategy/ 🔹 Twitter/X: https://twitter.com/MetisStrategy 🔹 Facebook: https://www.facebook.com/technovationpodcast/ 🔹 Instagram: https://www.instagram.com/technovationwithpeterhigh/ ---------------- #Technovation #AI #Podcast #techstrategy
AI in Business Podcast·Sep 4Building AI Into Systems That Can't Afford to Be Late - with Drew Barbier of MIPS
For AI systems built into vehicles, robots, and industrial equipment, being smart isn't enough — the difference between success and failure often comes down to whether real-time performance was designed in from the start or added on afterward. In this episode, Drew Barbier, Vice President, IP Business Unit at MIPS, breaks down why starting with the software workload, rather than the hardware, produces measurably better outcomes in real-time compute design. The conversation covers a real-world example of a three-to-five-times performance gain from workload-first design, what changes on a team's side when real-time becomes a starting requirement instead of an afterthought, and how leaders can tell within six months whether their approach is working. This episode is sponsored by MIPS. Learn how to structure landing pages for higher conversion, and how to use self-qualification systems to prioritize high-intent leads. Download our free PDF report, "B2B AI Lead Generation Guide," at emerj.com/aig1
AI Realized Podcast·Sep 3#47 Both Sides Got the Same AI, So Cyber Defense Must Automate w/Staffan Truvé
Attackers and defenders now reach essentially the same AI tools, so what changes is not the balance of power but the speed both sides can move at. Staffan Truvé explains why defending at that speed has to be automated, why the known vulnerabilities you have not patched are the first thing to fund, and why his favorite idea right now is a deception network: a thousand versions of your real system, 999 of them fake, each one a sensor that teaches you how the attacker works.
Maximus CDIO Derrick Pledger on Putting Business Value Before AI | Technovation 1112
AI transformation should start with business value, not technology. In this episode of Technovation, Peter High speaks with Derrick Pledger, Chief Digital and Information Officer of Maximus, about how he is reimagining work for an AI-driven enterprise. Derrick explains why Maximus defines ROI before launching AI pilots, how the company evaluates whether legacy processes can survive in an agentic world, and why every employee receives AI training. He also discusses building a failure-friendly innovation culture, bringing Silicon Valley capabilities into government environments, and using technology to improve citizen and mission outcomes. For CIOs navigating pressure to turn AI investment into measurable results, Derrick offers a clear mandate: start with the value you intend to create. 🎧 An audio-only version of this interview is available as episode 1112 of Metis Strategy’s podcast, #Technovation with Peter High. This episode is sponsored by ElevenLabs. Learn more at https://elevenlabs.io/technovation This episode is sponsored by Retool. Learn more at https://retool.com/technovation 🌍 Learn more: https://www.metisstrategy.com/technovation-podcast/ 📱 Follow us on social: 🔹 LinkedIn: https://www.linkedin.com/company/metis-strategy/ 🔹 Twitter/X: https://twitter.com/MetisStrategy 🔹 Facebook: https://www.facebook.com/technovationpodcast/ 🔹 Instagram: https://www.instagram.com/technovationwithpeterhigh/ ---------------- #Technovation #AI #Podcast #techstrategy
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