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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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AI Realized
Me, Myself, and AI
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Tracked Sources
Bernard Marr
AI in Business
Enterprise AI Innovators
AI Realized
Me, Myself, and AI
Metis Strategy
CXOTalk
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Mozilla CTO: Open Source and Open Weight AI, Rent or Own?
Mozilla’s CTO explains the difference between open source and open weight models, offers practical advice, and reviews the State of Open Source AI report.
Lior Susan on Why Now Is the Time to Build Industrial Giants | Technoventure 30
The next generation of technology giants may not be built in software. They may be built in factories. In this episode of Technoventure, Peter High speaks with Lior Susan, Founder and Managing Partner of Eclipse, about why AI, robotics, and industrial innovation are transforming the economics of American manufacturing. Lior explains Eclipse's five-forces framework for building industrial companies and why physical industries represent a significant opportunity for venture capital. 🎧 An audio-only version of this interview is available as episode 30 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
AI in Business Podcast·2d agoIntelligent Operations at Enterprise Scale - with Dhrubojyoti Das Deb of JPMorganChase
Alert volume inside IT operations has outpaced manual triage, leaving real incidents buried in noise. In this episode, Dhrubojyoti Das Deb, SVP of Global IT at JPMorgan Chase & Co., explores how AI-driven correlation and intelligent grouping can turn thousands of alerts into a handful of actionable incidents. The conversation covers where accountability sits when AI assists in triage, how teams build trust in automation incrementally, and where leaders should start when moving from reactive firefighting to intelligent operations. This episode is sponsored by BigPanda. Learn how to build high-converting landing pages and use self-qualification systems to identify and prioritize high-intent leads. Download our free B2B AI Lead Generation Guide at emerj.com/aig1
How Mastercard Stopped $13B in Fraud With Real-Time AI | Technovation 1122
Mastercard processes billions of transactions, and fraud doesn't wait for rules-based systems to catch up. In this episode of Technovation, Peter High speaks with Nirav Mehta, Chief Technology Officer of Services at Mastercard, about how the company uses AI to score transactions in the milliseconds between a card tap and approval, and what it takes to build that kind of infrastructure at scale. Nirav leads engineering, analytics, and decisioning for Mastercard's $14B Services business, which spans fraud prevention, threat intelligence, data commercialization, and emerging agentic commerce. He explains how Decision Intelligence Pro prevented roughly $13B in fraud in 2026 alone before the holiday season, why the company treats data unification as a use-case-first problem rather than an architecture mandate, and how agentic commerce today resembles the early web, competing standards, good intent, unresolved identity questions. He also makes the case that senior technology leaders need to stay hands-on, not just well-read. 🎧 An audio-only version of this interview is available as episode 1122 of Metis Strategy’s podcast, #Technovation with Peter High. This episode is sponsored by Tines. 🌍 Learn more: https://www.metisstrategy.com/interview/nirav-mehta/ 📱 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/
AI in Business Podcast·3d agoWhat Shared Intelligence Really Fixes in Enterprise AI - with John McMullan of Observe.ai
Enterprise CX teams have poured budget into AI, yet many still can't show measurable returns — frontline staff double-check the tools, and each new bot becomes another disconnected silo. In this episode, John McMullan, Head of Product Marketing and Strategy at Observe.AI, joins host Yolandi de Weerdt to examine why AI adopted without operational discipline falls short, and how a shared interaction intelligence layer can carry context across AI agents, core systems, and human handoffs. McMullan outlines the practical shifts: putting frontline experts, analysts, and engineers on the build team, starting with one small workflow and learning from early failures, testing agents against simulations of real conversations, and getting data clean and connected before scaling. This episode is sponsored by Observe.AI. To learn how to spot real AI trends in any sector, download our free report, "3 Ways to Discover AI Trends in Any Sector," at emerj.com/ait1
AI in Business Podcast·4d agoInside the Shift Toward Smarter Automated CX - with Paul Cuglietta of Simplyhealth
A single misstep in a new customer service channel can undo months of trust-building work. In this episode, Paul Cuglietta, Customer Services Director at Simplyhealth, explores how disciplined testing, governance, and stakeholder sign-off shape agentic AI rollouts inside a regulated, high-trust environment. The conversation covers matching automation to the way customers speak across channels, building a long-term AI vision tied to company purpose, and getting buy-in through comparable case studies. This episode is sponsored by NiCE Cognigy. 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 in Business Podcast·5d agoStop Overpaying for AI Power You Don't Need - with Melissa Ramey of Salesforce
An AI agent can function as designed yet produce results an organization cannot verify or safely use. In this episode, Melissa Ramey, Director, AI Transformation – Data Insights and User Experience at Salesforce, joins Emerj's Yolandi de Weerdt to examine who owns agent behavior after deployment and why correcting individual outputs does not fix the underlying workflow. She explains how source evidence, shared definitions, and clear decision boundaries help teams govern agents before expanding their autonomy. To go deeper on AI strategy, including evidence-based AI ROI and building long-term capabilities, download Emerj's free PDF report, "3 Keys to Thriving in the Coming Era of Automation," at emerj.com/cok1
From Demos to Deployments: How U.S. Bank Is Industrializing AI | Technovation 1121
Proving AI works was never the hard part. The hard part is industrializing it. In this episode of Technovation, Peter High speaks with Dilip Venkatachari, Chief Information and Technology Officer at U.S. Bank, about what it actually takes to move from scattered AI experiments to a common platform with reusable components and measurable outcomes. Drawing from eight years leading technology at one of the country's largest banks, Venkatachari explains how U.S. Bank treats model risk management and regulatory requirements as design parameters rather than obstacles, why the real technical challenge is plumbing rather than models, and how an internal AI marketplace uses social incentives to drive reuse without mandating it. 🎧 An audio-only version of this interview is available as episode 1121 of Metis Strategy’s podcast, #Technovation with Peter High. This episode is sponsored by Tines. 🌍 Learn more: https://www.metisstrategy.com/interview/dilip-venkatachari/ 📱 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/
AI in Business Podcast·6d agoTurning Biological Complexity into R&D Advantage with Virtual Cells - with Giorgio Gaglia of Sanofi & Daniel Veres of Turbine
Drug discovery teams are running short of new ideas to test, and AI models that simulate how cells respond to drugs only pay off once leaders know when those predictions can be trusted with experiments, timelines, and budget. In this episode, Daniel Veres, Co-Founder and Chief Scientific Officer at Turbine, and Giorgio Gaglia, Head of Systems and Disease Biology at Sanofi, examine with host Yolandi de Weerdt how testing models on data they have never seen shows which R&D decisions their predictions can reliably inform. The discussion offers R&D leaders a practical way to judge when a model's predictions are ready to inform which experiments to run, where in the pipeline to start, and how much risk to accept. This episode is sponsored by Turbine. Learn how these conversations drive pipeline for other AI brands — download our media kit at emerj.com/AD1
From Patterns to Prompts: Pawan Verma on AI Across the Pharma Value Chain | Technovation 1120
AI is reshaping every stage of pharmaceutical distribution, but only if the organization is built to absorb it. In this episode of Technovation, Peter High speaks with Pawan Verma, Executive Vice President and Chief Data and Information Officer at Cencora, about leading technology and data strategy at one of the world's largest healthcare companies ($320B+ in revenue, 5 million pharmaceuticals moving through its network daily). Verma joined Cencora in 2024 after serving as Global CIO at MetLife, with earlier leadership at Foot Locker, Target, and Verizon, a cross-industry arc that shapes how he thinks about patient access, workforce transformation, and what AI can and cannot replace in leadership. 🎧 An audio-only version of this interview is available as episode 1120 of Metis Strategy’s podcast, #Technovation with Peter High. Chapters: 00:00 Introduction and Guest Welcome 02:59 Cencora's Scale and Purpose 05:50 The Chief Data and Information Officer Role 08:05 Why Data Comes First in the Title 10:33 Leading Change and Building Talent at Scale 14:18 From AI Experiments to Enterprise Value 17:21 Where Healthcare Innovation Is Heading 21:11 Patient Access and Supply Chain Resilience 23:51 Customer Experience Lessons from Retail to Healthcare 28:27 AI Across the Patient Journey 33:24 What AI Will Not Replace in Leadership 37:01 How AI Changes a CIO's Daily Work 39:57 Recommended Listening and Closing This episode is sponsored by Tines. 🌍 Learn more: https://www.metisstrategy.com/interview/pawan-verma-2/ 📱 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/
Enterprise AI Innovators·Sep 30Treating AI as Enablement, Not Outcome with Leidos SVP & CIO Alexandra Guenther
On the 72nd episode of Enterprise AI Innovators, host Evan Reiser (CEO and co-founder, Abnormal AI) speaks with Alexandra Guenther, Senior Vice President and Chief Information Officer at Leidos. Leidos is a Fortune 500 science and technology company that operates globally with roughly 50,000 employees across defense, intelligence, homeland, health, and digital sectors. Alexandra explains how Leidos rebuilt IT support into a "service desk of the future," how she drives AI adoption by asking teams which task they never want to do again, and why she treats AI as an enablement layer rather than an outcome. Quick Hits from Alexandra: On measuring the modern CIO: "It's no longer about ROI, and it's no longer about, 'I'm going to deploy this technology in 24 months.'" On leading through change: "You cannot build resilience into an exhausted organization." On AI's real role: "AI is an enablement and it is not the outcome in and of itself." Book Recommendation: Good to Great by Jim Collins Like what you hear? Leave us a review and subscribe to the show on Apple, Spotify, and YouTube. Enterprise AI Innovators is a show where top technology executives share specific ways AI changes how work gets done in the enterprise. Find more great insights from technology leaders and enterprise software experts at https://www.enterprisesoftware.blog/ Enterprise AI Innovators is produced by Abnormal Studios.
AI in Business Podcast·Sep 29Where AI Should Actually Earn Its Keep in Biopharma - with Mukhtar Ahmed of Greenstone Biosciences
In biopharma R&D, AI investment has overwhelmingly targeted generating more drug candidates, even though the industry has rarely lacked for compounds worth pursuing. In this episode, Mukhtar Ahmed, Director of Project and Portfolio Strategy at Greenstone Biosciences, explores why the harder and more valuable problem is deciding which candidates deserve continued capital and attention. The conversation covers synthesizing fragmented evidence across teams, keeping human judgment and accountability in the loop, and measuring AI's impact across a portfolio rather than a single program. Emerj works with a select group of AI vendors to reach Fortune 500 decision-makers through research, media, and direct access. If you want to be considered, download our media kit at emerj.com/AD1
Me, Myself, and AI·Sep 29AI for Process, People for Heart: GoFundMe’s Tim Cadogan
A time of crisis often requires the need for ongoing assistance, but many of us struggle with requesting help from others. GoFundMe CEO Tim Cadogan joins us to explain how the fundraising company is using artificial intelligence to make such times easier, drawing on lessons from tens of millions of fundraisers to help people tell their stories and mobilize their communities. Tim shares how GoFundMe’s AI-powered fundraising coach is reducing stress, building confidence, and helping people raise more without losing the human connection at the heart of giving. The conversation explores a compelling vision for AI: not replacing people but helping us act on one of our most fundamental instincts — to help one another. Guest bio: Since 2020, Tim Cadogan has been the CEO of the fundraising platform GoFundMe, which people have used to raise over $40 billion for themselves, loved ones, communities, and nonprofits. Previously, he was CEO of OpenX, which he built into one of the world’s largest ad exchanges, and Yahoo, where he led the global advertising business and ran the consumer search division. He began his career at Boston Consulting Group in London. Cadogan received his bachelor’s degree from the London School of Economics and Political Science, a Master in Philosophy from Oxford University, and a Master in Business Administration from Stanford University. He has served as a search and rescue volunteer since 2010. 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.
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
AI Realized Podcast·Sep 26#49 Signal Integrity Is the Foundation for AI Go-to-Market Agents w/Lara Shackelford
Lara Shackelford explains how to build an AI go-to-market system, starting with the customer signals it runs on. She breaks down her signal integrity model: semantic consistency, temporal coherence and lineage transparency, and the audit she runs to find where the signals break. She also says where human judgment stays in the workflow, and why the audit comes before the agents.
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·Sep 24Modernizing 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·Sep 22Managing 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.
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.
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