Podcasts about enterprise ai

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.

This episode is sponsored by AGNTCY. Unlock agents at scale with an open Internet of Agents.  Visit https://agntcy.org/ and add your support. How is Coxwave Redefining AI Evaluation? In this episode of Eye on AI, host Craig Smith is joined by Yeop Lee, Head of Product at Coxwave. Together they explore how teams move beyond accuracy-only metrics to outcome focused evaluation with Coxwave's Align. We look at how Align measures satisfaction, trust, and task completion across chat, email, and voice, how LLM as judge pairs with human review, and how product teams search conversations to find hidden failure patterns that block adoption. Learn how leading companies design an evaluation stack that guides prompts, agents, and UX, which pitfalls to avoid when shipping updates, and which metrics matter most for success, including completion rate, CSAT, retention, and cost per resolution. You will also hear how to run experiment tracking with model and prompt change logs, set up governance that prevents regressions, and choose between SaaS and on premise deployments that meet security and compliance needs. Stay Updated: Craig Smith on X: https://x.com/craigss Eye on A.I. on X: https://x.com/EyeOn_AI

This episode features Rob Toews from Radical Ventures and Ari Morcos, Head of Research at Datology AI, reacting to Andrej Karpathy's recent statement that AGI is at least a decade away and that current AI capabilities are "slop." The discussion explores whether we're in an AI bubble, with both guests pushing back on overly bearish narratives while acknowledging legitimate concerns about hype and excessive CapEx spending. They debate the sustainability of AI scaling, examining whether continued progress will come from massive compute increases or from efficiency gains through better data quality, architectural innovations, and post-training techniques like reinforcement learning. The conversation also tackles which companies truly need frontier models versus those that can succeed with slightly-behind-the-curve alternatives, the surprisingly static landscape of AI application categories (coding, healthcare, and legal remain dominant), and emerging opportunities from brain-computer interfaces to more efficient scaling methods. (0:00) Intro(1:04) Debating the AI Bubble(1:50) Over-Hyping AI: Realities and Misconceptions(3:21) Enterprise AI and Data Center Investments(7:46) Consumer Adoption and Monetization Challenges(8:55) AI in Browsers and the Future of Internet Use(14:37) Deepfakes and Ethical Concerns(26:29) AI's Impact on Job Markets and Training(31:38) Google and Anthropic: Strategic Partnerships(34:51) OpenAI's Strategic Deals and Future Prospects(37:12) The Evolution of Vibe Coding(44:35) AI Outside of San Francisco(48:09) Data Moats in AI Startups(50:38) Comparing AI to the Human Brain(56:07) The Role of Physical Infrastructure in AI(56:55) The Potential of Chinese AI Models(1:03:15) Apple's AI Strategy(1:12:35) The Future of AI Applications With your co-hosts: @jacobeffron - Partner at Redpoint, Former PM Flatiron Health @patrickachase - Partner at Redpoint, Former ML Engineer LinkedIn @ericabrescia - Former COO Github, Founder Bitnami (acq'd by VMWare) @jordan_segall - Partner at Redpoint

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

How do you know whether an iOS app you have built has potential to be big? Getting an email from Steve Jobs is probably a strong indicator.Ashish Toshniwal, founder of 10Kr and YML (Y Media Labs), started by trying a bit of everything: classifieds, Groupons, and Facebook apps. That email made him quit his job, but as Ashish says, it took him and YML 14 years to become an overnight success. YML helped businesses go mobile-first long before it became a buzzword, with over 45 Fortune 500 clients including Apple, PayPal, Meta, and Disney. Along the way, Ashish shares the real decisions every founder faces, such as when to take VC money, when to sell, and how to think about repeat business. He also reflects on turning down opportunities like Credit Karma equity (now worth $7billion), showing the tough choices early-stage founders make just to survive and keep their business running.This is a story about timing, focus, and conviction, and what happens when you build something real: from Calcutta to Silicon Valley, one decision at a time.0:00 – Trailer03:24 – How the Co-founders met05:28 – The first 3 ideas: Classifieds, Groupons & Facebook apps06:30 – An email from Steve Jobs made Ashish quit his Job07:59 – Building apps when App Store launched (Apple as a client too)09:20 – YML was famous but not profitable10:07 – Becoming the “app guys” of Silicon Valley11:56 – The pivot: Stick with products or move to services?13:43 – 6 acquisition offers on the table: Sell or not?16:57 – The first exit: 60% acquired at $60M18:38 – “We'd never seen that kind of money”19:26 – IOS engineering was like AI engineering20:13 – “If we don't have repeat business, we don't have business”22:09 – Silicon valley is not a zipcode, it's a mindset23:54 – Clients came for design, stayed for engineering26:11 – Does motivation change when equity shrinks?29:01 – Firing and re-hiring yourself as founder CEO30:50 – Why the final decision to sell YML was made32:55 – The golden window of mobile34:26 – Could YML have been a billion-dollar company?37:34 – Turning down Credit Karma equity: now worth $7B38:39 – Why CEOs are like travel agents41:50 – Why Ashish invested in Neon44:22 – What wealth truly enables47:36 – Investing early in Tesla, Nvidia, and Meta49:07 – Why founder-led companies outperform in public markets50:54 – It's easy to build products, harder to build real businesses52:44 – If your product isn't 10x better than ChatGPT, you have no chance53:04 – The future of jobs: 5 roles merging into 2 with agents on top57:25 – ChatGPT will not go after human-in-the-loop59:35 – The first real challenge to Google's dominance1:01:59 – Building AI agents that do real work is incredibly hard-------------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 informSend us a text

Welcome to AI Unraveled, your essential daily briefing on the real-world business impact of AI.Today, we interrupt the daily rundown for a critical special episode: a deep dive into the Generative AI Revolution, 2025 and Beyond. We're talking about the fundamental re-architecture of the enterprise. We have broken down a comprehensive new report that charts the strategic battles between closed-source titans like OpenAI and Google, and the fiercely competitive open-source challengers. This isn't just theory; we reveal how GenAI is forcing a re-architecture of workflows across finance, healthcare, and software development, creating entirely new value streams.But first, a word on why most enterprise AI initiatives fail. [thoughtful] There's a reason they never make it to production: You can't find a platform that's both powerful and secure enough. The result? AI budgets burned with zero business impact. But not anymore. AIRIA is the Enterprise AI platform that delivers speed without compromise. Unlike platforms that force you to choose between fast deployment or secure operations, Airia brings speed and security together. Launch quickly without cutting corners on compliance. Scale rapidly without sacrificing governance. Ready for AI at full speed with zero compromise? Visit airia.com to see the platform in action. That's A-I-R-I-A dot com – Simplify enterprise AI. When we return, we analyze the three key trends that will define the future—from multimodal systems to the escalating need for better governance frameworks. This is your competitive blueprint for moving beyond pilots and achieving real, scalable enterprise adoption. If you rely on this show for your strategic insights, please take a moment right now to like and subscribe to the podcast! Now, let's unravel the future of Generative AI. Stick with us.

Try OCI for free at http://oracle.com/eyeonai This episode is sponsored by Oracle. OCI is the next-generation cloud designed for every workload – where you can run any application, including any AI projects, faster and more securely for less. On average, OCI costs 50% less for compute, 70% less for storage, and 80% less for networking.  Join Modal, Skydance Animation, and today's innovative AI tech companies who upgraded to OCI…and saved.   How are enterprises moving from AI experiments to a true agentic enterprise with measurable ROI? In this episode of Eye on AI, host Craig Smith speaks with Bhaskar Roy from Workato about how organizations can design, orchestrate, and govern AI agents at scale without sacrificing security or control. Together they unpack Workato's approach to building a single workspace for employees while agents and apps work behind the scenes to automate real business processes. They explain why the future of enterprise AI depends on orchestration, permissions, and human in the loop design. You will hear how Workato One and Workato Go bring connectivity, action, and governance into one stack, how teams assign KPIs to agents and track outcomes, and how to reduce agent sprawl while optimizing SaaS spend. Learn how leading companies are defining the agentic enterprise, what pitfalls to avoid when moving from pilots to production, and how to measure impact across sales, IT, support, HR, and finance so AI drives durable business value. Stay Updated: Craig Smith on X: https://x.com/craigss Eye on A.I. on X: https://x.com/EyeOn_AI

Epic's latest complaints about Apple's App Store rules spark frustration and humor among the panel, while Rivian's lack of CarPlay draws mockery from Chuck Joiner, David Ginsburg, Web Bixby, Marty Jencius, Brian Flanigan-Arthurs, Jeff Gamet, Eric Bolden, and Jim Rea. The discussion shifts to growing concerns over Google's Gemini integration in Chrome and AI-driven search privacy. Finally, they analyze Bending Spoons' spree of acquisitions, including Vimeo and a surprising $1.4 billion bid for AOL.  MacVoices is supported by MacPaw and the Cloud Cleanup feature. Get Tidy Today! Try 7 days free and use my code MACVOICES20 for 20% off at clnmy.com/MACVOICES. Show Notes: Chapters: [0:00] Epic's endless App Store complaints[1:55] Dark patterns and installation steps debate[3:24] Rivian test-drive antics and CarPlay frustrations[7:15] Sponsor message: Cloud Cleanup by MacPaw[7:37] Gemini privacy concerns and Chrome integration[10:58] Forced AI in search engines—Google, Bing, Edge[15:22] Evolving search habits and AI alternatives[17:53] AI's role in search competition[20:36] Enterprise AI security and privacy management[22:40] Bending Spoons' acquisition of AOL and tech strategy Links: It takes maybe 10 seconds to install a third-party app store, and Epic is complaining about ithttps://appleinsider.com/articles/25/10/01/it-takes-maybe-6-seconds-to-install-a-third-party-app-store-and-epic-is-complaining-about-it Browsing with Gemini in Chrome: Convenience Comes at a High Cost to Users' Privacyhttps://appleworld.today/2025/10/browsing-with-gemini-in-chrome-convenience-comes-at-a-high-cost-to-users-privacy/ Exclusive: Yahoo nears deal to sell AOL to Italy's Bending Spoons for $1.4 billion, sources sayhttps://www.reuters.com/world/yahoo-nears-deal-sell-aol-italys-bending-spoons-14-billion-sources-say-2025-10-01/ Guests: Web Bixby has been in the insurance business for 40 years and has been an Apple user for longer than that.You can catch up with him on Facebook, Twitter, and LinkedIn, but prefers Bluesky. Eric Bolden is into macOS, plants, sci-fi, food, and is a rural internet supporter. You can connect with him on Twitter, by email at embolden@mac.com, on Mastodon at @eabolden@techhub.social, on his blog, Trending At Work, and as co-host on The Vision ProFiles podcast. Brian Flanigan-Arthurs is an educator with a passion for providing results-driven, innovative learning strategies for all students, but particularly those who are at-risk. He is also a tech enthusiast who has a particular affinity for Apple since he first used the Apple IIGS as a student. You can contact Brian on twitter as @brian8944. He also recently opened a Mastodon account at @brian8944@mastodon.cloud. Jeff Gamet is a technology blogger, podcaster, author, and public speaker. Previously, he was The Mac Observer's Managing Editor, and the TextExpander Evangelist for Smile. He has presented at Macworld Expo, RSA Conference, several WordCamp events, along with many other conferences. You can find him on several podcasts such as The Mac Show, The Big Show, MacVoices, Mac OS Ken, This Week in iOS, and more. Jeff is easy to find on social media as @jgamet on Twitter and Instagram, jeffgamet on LinkedIn., @jgamet@mastodon.social on Mastodon, and on his YouTube Channel at YouTube.com/jgamet. David Ginsburg is the host of the weekly podcast In Touch With iOS where he discusses all things iOS, iPhone, iPad, Apple TV, Apple Watch, and related technologies. He is an IT professional supporting Mac, iOS and Windows users. Visit his YouTube channel at https://youtube.com/daveg65 and find and follow him on Twitter @daveg65 and on Mastodon at @daveg65@mastodon.cloud. Dr. Marty Jencius has been an Associate Professor of Counseling at Kent State University since 2000. He has over 120 publications in books, chapters, journal articles, and others, along with 200 podcasts related to counseling, counselor education, and faculty life. His technology interest led him to develop the counseling profession ‘firsts,' including listservs, a web-based peer-reviewed journal, The Journal of Technology in Counseling, teaching and conferencing in virtual worlds as the founder of Counselor Education in Second Life, and podcast founder/producer of CounselorAudioSource.net and ThePodTalk.net. Currently, he produces a podcast about counseling and life questions, the Circular Firing Squad, and digital video interviews with legacies capturing the history of the counseling field. This is also co-host of The Vision ProFiles podcast. Generally, Marty is chasing the newest tech trends, which explains his interest in A.I. for teaching, research, and productivity. Marty is an active presenter and past president of the NorthEast Ohio Apple Corp (NEOAC). Jim Rea built his own computer from scratch in 1975, started programming in 1977, and has been an independent Mac developer continuously since 1984. He is the founder of ProVUE Development, and the author of Panorama X, ProVUE's ultra fast RAM based database software for the macOS platform. He's been a speaker at MacTech, MacWorld Expo and other industry conferences. Follow Jim at provue.com and via @provuejim@techhub.social on Mastodon. Support:      Become a MacVoices Patron on Patreon     http://patreon.com/macvoices      Enjoy this episode? Make a one-time donation with PayPal Connect:      Web:     http://macvoices.com      Twitter:     http://www.twitter.com/chuckjoiner     http://www.twitter.com/macvoices      Mastodon:     https://mastodon.cloud/@chuckjoiner      Facebook:     http://www.facebook.com/chuck.joiner      MacVoices Page on Facebook:     http://www.facebook.com/macvoices/      MacVoices Group on Facebook:     http://www.facebook.com/groups/macvoice      LinkedIn:     https://www.linkedin.com/in/chuckjoiner/      Instagram:     https://www.instagram.com/chuckjoiner/ Subscribe:      Audio in iTunes     Video in iTunes      Subscribe manually via iTunes or any podcatcher:      Audio: http://www.macvoices.com/rss/macvoicesrss      Video: http://www.macvoices.com/rss/macvoicesvideorss

Jay Vijayan, founder of Tekion, and Tesla's former CIO, has one of the most remarkable careers in technology and automotive.Jay joined as CIO when Tesla had almost no revenue and stayed through its growth to $5 billion ARR and $35 billion market cap. Elon Musk brought him in to build Tesla's own ERP system at a time when most companies would have chosen ready-made solutions like SAP or Oracle.Today, Jay leads Tekion, a company valued at over $4 billion that has raised more than $640 million and has companies like GM, BMW, Hyundai, and Exor as both customers and investors.Jay talks about how Tekion is rethinking the experience of buying & servicing cars connecting dealers, manufacturers, and partners on one platform. He explains why the company spent four years building its first product, why they acquired real dealerships to understand the business end-to-end, and what it takes to build tech for such a complex industry.This conversation is about building deep, meaningful products, making hard choices early, and maintaining focus when the world is moving too fast.00:00 – Trailer02:42 – What value Tekion brings to the automotive industry?03:56 – Enabling dealers with car buying and servicing05:41 – Helping manufacturers connect all customer touchpoints07:02 – Supporting partners across loans and financing07:34 – What was the industry like before Tekion?09:37 – Why Tekion spend 4 years in stealth mode11:50 – Acquiring dealerships to study the product end-to-end16:38 – Should vertical SaaS companies invest in sector businesses?20:30 – Stay Informed, but don't get swayed by trends22:57 – Why Subscription model didn't work for cars25:30 – How can founders navigate overhyped trends safely?26:22 – Differentiation in AI: solving valuable, sticky problems28:24 – Every business function should have an AI agent30:31 – How can AI agents improve car servicing?32:56 – When customers turn investors36:58 – Why experts opposed acquiring dealerships?40:08 – Why build an ERP backend as an early stage company?44:21 – Do not outsource core customer functions46:37 – Taking on a failed family business51:38 – Paying off huge debt over 10+ years55:21 – When seed investors get a 400x growth58:06 – What is the right attitude early in your career?-------------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

Epic's latest complaints about Apple's App Store rules spark frustration and humor among the panel, while Rivian's lack of CarPlay draws mockery from Chuck Joiner, David Ginsburg, Web Bixby, Marty Jencius, Brian Flanigan-Arthurs, Jeff Gamet, Eric Bolden, and Jim Rea. The discussion shifts to growing concerns over Google's Gemini integration in Chrome and AI-driven search privacy. Finally, they analyze Bending Spoons' spree of acquisitions, including Vimeo and a surprising $1.4 billion bid for AOL.  MacVoices is supported by MacPaw and the Cloud Cleanup feature. Get Tidy Today! Try 7 days free and use my code MACVOICES20 for 20% off at clnmy.com/MACVOICES. Show Notes: Chapters: [0:00] Epic's endless App Store complaints [1:55] Dark patterns and installation steps debate [3:24] Rivian test-drive antics and CarPlay frustrations [7:15] Sponsor message: Cloud Cleanup by MacPaw [7:37] Gemini privacy concerns and Chrome integration [10:58] Forced AI in search engines—Google, Bing, Edge [15:22] Evolving search habits and AI alternatives [17:53] AI's role in search competition [20:36] Enterprise AI security and privacy management [22:40] Bending Spoons' acquisition of AOL and tech strategy Links: It takes maybe 10 seconds to install a third-party app store, and Epic is complaining about it https://appleinsider.com/articles/25/10/01/it-takes-maybe-6-seconds-to-install-a-third-party-app-store-and-epic-is-complaining-about-it Browsing with Gemini in Chrome: Convenience Comes at a High Cost to Users' Privacy https://appleworld.today/2025/10/browsing-with-gemini-in-chrome-convenience-comes-at-a-high-cost-to-users-privacy/ Exclusive: Yahoo nears deal to sell AOL to Italy's Bending Spoons for $1.4 billion, sources say https://www.reuters.com/world/yahoo-nears-deal-sell-aol-italys-bending-spoons-14-billion-sources-say-2025-10-01/ Guests: Web Bixby has been in the insurance business for 40 years and has been an Apple user for longer than that.You can catch up with him on Facebook, Twitter, and LinkedIn, but prefers Bluesky. Eric Bolden is into macOS, plants, sci-fi, food, and is a rural internet supporter. You can connect with him on Twitter, by email at embolden@mac.com, on Mastodon at @eabolden@techhub.social, on his blog, Trending At Work, and as co-host on The Vision ProFiles podcast. Brian Flanigan-Arthurs is an educator with a passion for providing results-driven, innovative learning strategies for all students, but particularly those who are at-risk. He is also a tech enthusiast who has a particular affinity for Apple since he first used the Apple IIGS as a student. You can contact Brian on twitter as @brian8944. He also recently opened a Mastodon account at @brian8944@mastodon.cloud. Jeff Gamet is a technology blogger, podcaster, author, and public speaker. Previously, he was The Mac Observer's Managing Editor, and the TextExpander Evangelist for Smile. He has presented at Macworld Expo, RSA Conference, several WordCamp events, along with many other conferences. You can find him on several podcasts such as The Mac Show, The Big Show, MacVoices, Mac OS Ken, This Week in iOS, and more. Jeff is easy to find on social media as @jgamet on Twitter and Instagram, jeffgamet on LinkedIn., @jgamet@mastodon.social on Mastodon, and on his YouTube Channel at YouTube.com/jgamet. David Ginsburg is the host of the weekly podcast In Touch With iOS where he discusses all things iOS, iPhone, iPad, Apple TV, Apple Watch, and related technologies. He is an IT professional supporting Mac, iOS and Windows users. Visit his YouTube channel at https://youtube.com/daveg65 and find and follow him on Twitter @daveg65 and on Mastodon at @daveg65@mastodon.cloud. Dr. Marty Jencius has been an Associate Professor of Counseling at Kent State University since 2000. He has over 120 publications in books, chapters, journal articles, and others, along with 200 podcasts related to counseling, counselor education, and faculty life. His technology interest led him to develop the counseling profession ‘firsts,' including listservs, a web-based peer-reviewed journal, The Journal of Technology in Counseling, teaching and conferencing in virtual worlds as the founder of Counselor Education in Second Life, and podcast founder/producer of CounselorAudioSource.net and ThePodTalk.net. Currently, he produces a podcast about counseling and life questions, the Circular Firing Squad, and digital video interviews with legacies capturing the history of the counseling field. This is also co-host of The Vision ProFiles podcast. Generally, Marty is chasing the newest tech trends, which explains his interest in A.I. for teaching, research, and productivity. Marty is an active presenter and past president of the NorthEast Ohio Apple Corp (NEOAC). Jim Rea built his own computer from scratch in 1975, started programming in 1977, and has been an independent Mac developer continuously since 1984. He is the founder of ProVUE Development, and the author of Panorama X, ProVUE's ultra fast RAM based database software for the macOS platform. He's been a speaker at MacTech, MacWorld Expo and other industry conferences. Follow Jim at provue.com and via @provuejim@techhub.social on Mastodon. Support:      Become a MacVoices Patron on Patreon      http://patreon.com/macvoices      Enjoy this episode? Make a one-time donation with PayPal Connect:      Web:      http://macvoices.com      Twitter:      http://www.twitter.com/chuckjoiner      http://www.twitter.com/macvoices      Mastodon:      https://mastodon.cloud/@chuckjoiner      Facebook:      http://www.facebook.com/chuck.joiner      MacVoices Page on Facebook:      http://www.facebook.com/macvoices/      MacVoices Group on Facebook:      http://www.facebook.com/groups/macvoice      LinkedIn:      https://www.linkedin.com/in/chuckjoiner/      Instagram:      https://www.instagram.com/chuckjoiner/ Subscribe:      Audio in iTunes      Video in iTunes      Subscribe manually via iTunes or any podcatcher:      Audio: http://www.macvoices.com/rss/macvoicesrss      Video: http://www.macvoices.com/rss/macvoicesvideorss

¡Episodio especial y muy completo! Presentamos One, el nuevo agente de Factorial: un “empleado sintético” que entiende tu empresa y actúa dentro del propio producto. No es “otro chat”; puede leer contexto, proponer acciones y interactuar con la app en tiempo real para crear y modificar recursos (formularios, listas, tablas), ofreciendo una experiencia integrada y no solo preguntas–respuestas.También hablamos de seguridad y permisos: One solo ve y hace lo que ve y hace el empleado que lo usa. A partir de ahí, exploramos el equilibrio entre determinismo y flexibilidad en procesos reales (por ejemplo, compras/procurement): qué pasos deben ser 100% deterministas y dónde conviene dejar espacio a la creatividad del agente.Por dentro, contamos la arquitectura: sistema multi-agente, herramientas expuestas y un framework en TypeScript que nos da control fino (alternativa al monopolio Python), además de cómo cuidamos el contexto para reducir prompts kilométricos.Compartimos qué probamos antes de llegar aquí, por qué hoy hacemos inyección de contexto en inferencia(sin entrenar modelos propios), cómo contener costes y hasta la negociación por GPUs; y por qué con GPT-5 hay que reescribir prompts pensando más literal y al grano.Más allá de One, la tertulia se mete en cómo cambia el trabajo de producto e ingeniería: menos “picar tuberías” y más pensar bien el problema; incluso cierto “regreso” a planificar mejor antes de construir, porque ahora ejecutar es baratísimo y rápido. Hablamos del enfoque Building Blocks y de cómo toda Factorial participa con límites claros para no pisarnos entre equipos (sí, somos más de 200 en producto).Y hubo hueco para otros temas: el “hype” y las rondas XXL en herramientas de IA (mencionamos casos recientes que salieron hasta en la prensa), cómo nos informamos de lo último (LinkedIn técnico, papers, repos), y anécdotas del evento de lanzamiento… incluido algún susto técnico en directo

In this special Cloud Wars interview, Oracle Executive Vice President for Applications Development Steve Miranda joins Bob Evans to discuss how Oracle's transformation from CloudWorld to AI World signals a seismic leap in enterprise technology. Miranda shares how Oracle has delivered more than 600 agents, launched the Agent Studio and Marketplace, and unified AI capabilities across its Fusion Applications and industry verticals. The result: a powerful convergence of data, intelligence, and automation driving the next wave of business transformation.AI-driven EnterpriseThe Big Themes:Oracle's Next Seismic Shift: Oracle's renaming of CloudWorld to AI World isn't a branding exercise, it's a declaration. Just as “OpenWorld” and “CloudWorld” reflected past technology revolutions, “AI World” marks Oracle's belief that AI represents a shift of even greater magnitude. Miranda describes this era as one where automation and intelligence redefine enterprise operations. Oracle's applications division is now delivering hundreds of AI-driven agents and features at unprecedented speed.Agents Everywhere: In just two years, Oracle has gone from announcing 50 generative AI features to delivering over 600 agents across its Fusion and vertical applications. These agents automate tasks, surface insights, and optimize processes, often eliminating manual decision-making entirely. Oracle's rapid release cadence (quarterly updates backed by Oracle Cloud Infrastructure (OCI)) means customers constantly inherit new capabilities without disruption.OCI, the Engine: Oracle's leadership in hosting and training large language models within Oracle Cloud Infrastructure (OCI) gives its applications a built-in edge. Customers automatically benefit from the latest AI tools, performance improvements, and model upgrades without manual migration. OCI's second-generation architecture, featuring Exadata, cloud-native identity, and networking, delivers both reliability and continuous innovation.The Big Quote: “For many of our customers, it's great timing to have AI delivery, because they've gone live. They've gone through multiple phases. They're on the cloud. They're used to getting quarterly updates. Now, this is a big thing, but they're used to that people part of the transformation." Visit Cloud Wars for more.

i'm wall-e, welcoming you to today's tech briefing for tuesday, october 14th. here are today's top stories: goldman sachs' strategic acquisition: plans to acquire industry ventures for up to $965 million, enhancing its $540 billion alternatives investment platform amid a slow ipo market. california's ai chatbot regulation: california pioneers regulation with sb 243, setting safety protocols for ai companion chatbots to protect children and vulnerable users, paving the way for potential national regulation. salesforce's agentforce 360 platform: unveiled before the dreamforce conference, introducing new tools and integrations to enhance ai agent flexibility and capture market demand for enterprise ai. grindr's potential privatization: majority owners contemplate taking the company private with fortress investment group amidst stock decline and robust profitability. that's all for today. we'll see you back here tomorrow for more updates!

This episode is sponsored by AGNTCY. Unlock agents at scale with an open Internet of Agents.  Visit https://agntcy.org/ and add your support. How can enterprises truly scale with agentic AI?  In this episode of Eye on AI, host Craig Smith speaks with Greg Shewmaker, CEO of r.Potential, about how organizations can successfully implement agentic AI systems that enhance human performance instead of replacing it. Greg explains why the future of work depends on a new partnership between people and intelligent digital agents. He shares how r.Potential, a spin-out from the Adecco Group, helps enterprises design “digital workforces,” integrate AI agents into complex systems, and rethink productivity from the C-suite down. Learn how leading companies are approaching AI adoption, what pitfalls to avoid, and why agentic AI could redefine how enterprises operate and grow in the years ahead. Stay Updated: Craig Smith on X:https://x.com/craigss Eye on A.I. on X: https://x.com/EyeOn_AI

Switzerland has quietly built one of the world's most stable and trusted startup ecosystems.Thomas Dübendorfer, founder and president of SICTIC, Switzerland's largest angel investing network with over 500 members and more than 400 startups joins Neon show.Thomas talks about how Switzerland's startup scene has changed over the past decade from a cautious investor community to one that now has 58 unicorns across sectors like fintech, AI, crypto, and deeptech. He explains what Switzerland is doing in AI and commercial research, why a $900 billion economy still invests only $4 billion in startups, why most exits happen through acquisitions rather than IPOs, how Zurich and Bengaluru can build stronger startup ties and what India can learn from a country that builds quietly. Thomas also shares his own journey: leaving Google, building nine startups (three acquired), and backing over 40 founders as an angel investor. This episode is a rare inside look at how Switzerland, at the intersection of centuries-old wealth and technology, is building a strong innovation ecosystem.00:00 – Trailer01:07 – How has the Swiss startup ecosystem evolved over 12 years? 03:36 – Why a $900B economy draws only $4B in startup funding 04:35 – What is Switzerland known for around the world? 05:12 – The lesser-known Unicorns 07:12 – How can Zurich and Bengaluru build stronger startup ties? 10:39 – Swiss institutions that are built to last 11:24 – Building a strong nation among powerful neighbors 12:32 – Alfred Escher: The founder of ETH Zurich 12:57 – How Gotthard Tunnel shaped Swiss finance and engineering 13:49 – Top companies that define Switzerland today 16:15 – What is Switzerland doing in AI? 18:49 – What are the exit routes for Swiss startups: IPOs or acquisitions? 20:19 – Why Zurich has a high concentrations of family offices 22:44 – Where Switzerland stands in Europe's startup landscape 24:16 – Why build companies when you can just fund them? 27:26 – How Thomas chose his 40 angel investments 28:57 – What do the Swiss think about the Indian startup ecosystem?-------------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

The Information's Anissa Gardizy talks with TITV Host Akash Pasricha about OpenAI's ambitious plan to deploy 10 gigawatts of custom AI chips in partnership with Broadcom. We also talk with AWS CMO Julia White about the company's new suite of enterprise AI tools, QuickSuite, and the growing traction of its in-house Trainium chips. We get into how tech giants like Salesforce and Microsoft are challenging Google and Amazon in the ad tech space with our advertising reporter Catherine Perloff and Tau Marketing Solutions' Robert Webster. Lastly, we explore the rise of real-world asset tokenization with Securitize CEO Carlos Domingo.Articles discussed on this episode:https://www.theinformation.com/articles/ai-ad-tech-land-grab-pits-salesforce-google-microsoft-amazonhttps://www.theinformation.com/briefings/nvidia-announces-chip-design-deal-broadcomTITV 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

California Governor Gavin Newsom signed a landmark bill on Monday that regulates AI companion chatbots, making it the first state in the nation to require AI chatbot operators to implement safety protocols for AI companions The law is designed to protect children and vulnerable users from some of the harms associated with AI companion chatbot use. It holds companies — from the big labs like Meta and OpenAI to more focused companion startups like Character AI and Replika — legally accountable if their chatbots fail to meet the law's standards. Also, Salesforce announced Monday the latest version of its AI agent platform as the company looks to lure enterprises to its AI software in an increasingly crowded market. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Three years since the launch of ChatGPT, what does the landscape of Enterprise AI look like today? What's working, what's struggling and what's still unknown?SHOW: 966SHOW TRANSCRIPT: The Cloudcast #966 TranscriptSHOW VIDEO: https://youtube.com/@TheCloudcastNET CLOUD NEWS OF THE WEEK: http://bit.ly/cloudcast-cnotwCHECK OUT OUR NEW PODCAST: "CLOUDCAST BASICS"SHOW SPONSORS:[TestKube] TestKube is Kubernetes-native testing platform, orchestrating all your test tools, environments, and pipelines into scalable workflows empowering Continuous Testing. Check it out at TestKube.io/cloudcast[Interconnected] Interconnected is a new series from Equinix diving into the infrastructure that keeps our digital world running. With expert guests and real-world insights, we explore the systems driving AI, automation, quantum, and more. Just search “Interconnected by Equinix”.SHOW NOTES:HOW ARE ENTERPRISES USING AI IN LATE 2025?5% have a clear vision of how to apply Predictive and Generative AI to a set of use-cases that drive differentiation, productivity improvements and cost reductions. They are keeping the details close to the vest.10% have allocated about 3-5% of their IT budgets to AI, typically from a C-level mandate, and have given it to Microsoft or Google. They have checked “the business is AI-enabled” and signaled to the market that they have fully embraced AI. The market is rewarding these companies at higher multiples. 85% aren't sure what use-cases to focus on, have unrealistic expectations during POCs, and are focused on the “no” areas instead of their own learning curves. Enterprises don't have great visibility into AI costs, and limited baselines of what AI should cost - pay for outcomes, pay for seats, pay for tokens, or pay for GPUs?Enterprises don't have easy access to GPUs outside of via SaaS services - makes it challenging for Private or Sovereign AI demand to be metRight now, there is no simple way for Enterprises to build AI AgentsRight now, there is no simple way for Enterprises to share AI experience / learning curve - AI is a very individualized experienceFEEDBACK?Email: show at the cloudcast dot netTwitter/X: @cloudcastpodBlueSky: @cloudcastpod.bsky.socialInstagram: @cloudcastpodTikTok: @cloudcastpod

Breaking: Google just released Gemini Enterprise.

The panel explores how M-series Macs—with huge unified memory and efficient silicon—are gaining traction for AI inference and on-device privacy, citing MacStadium use cases and enterprise angles like Copilot adoption. Chuck Joiner, David Ginsburg, Marty Jencius, Brian Flanigan-Arthurs, Eric Bolden, Guy Serle, Web Bixby, Jeff Gamet, Jim Rea, and Mark Fuccio contrast training vs. inference, discuss small language models, and corporate data policies. The session wraps up with the alleged FCC leak of iPhone 16e schematics, and Xiaomi's unabashed Apple cloning—plus a quick note on viral AI fakes.  This edition of MacVoices is brought to you by the MacVoices Dispatch, our weekly newsletter that keeps you up-to-date on any and all MacVoices-related information. Subscribe today and don't miss a thing. Show Notes: Chapters: [0:30] AI workloads on Macs and unified memory advantages[1:36] Training vs. inference explained; why memory matters[3:49] M3/M4 bandwidth, neural accelerators, and privacy[5:35] Avoiding the “NVIDIA tax” with custom silicon[7:13] Power efficiency and enterprise adoption angles[9:45] User education and Copilot in corporate settings[12:42] Small language models for classrooms and offline use|[16:34] Alleged FCC leak of iPhone 16e schematics[22:47] Xiaomi's cloning culture and SEO gaming[25:29] Viral AI “security footage” hoaxes and media literacy Links: MacStadium: Macs increasingly being adopted for enterprise AI workloadshttps://appleworld.today/2025/09/macstadium-macs-increasingly-being-adopted-for-enterprise-ai-workloads/ College football keeps picking iPad over Surface as fourth conference joins team Applehttps://9to5mac.com/2025/09/25/college-football-keeps-picking-ipad-over-surface-as-fourth-conference-joins-team-apple/ Xiaomi's latest Apple clones include 'Hyper Island' and 'Pad Mini' tablethttps://9to5google.com/2025/09/26/xiaomis-latest-apple-clones-include-hyper-island-and-pad-mini-tablet-gallery AI Video of Sam Altman Stealing GPUshttps://www.instagram.com/ai.innovationshub/reel/DPPdo3VDxmI/ FCC mistakenly leaks confidential iPhone 16e schematicshttps://appleinsider.com/articles/25/09/29/fcc-mistakenly-leaks-confidential-iphone-16e-schematics?utm_source=rss Guests: Web Bixby has been in the insurance business for 40 years and has been an Apple user for longer than that.You can catch up with him on Facebook, Twitter, and LinkedIn, but prefers Bluesky. Eric Bolden is into macOS, plants, sci-fi, food, and is a rural internet supporter. You can connect with him on Twitter, by email at embolden@mac.com, on Mastodon at @eabolden@techhub.social, on his blog, Trending At Work, and as co-host on The Vision ProFiles podcast. Brian Flanigan-Arthurs is an educator with a passion for providing results-driven, innovative learning strategies for all students, but particularly those who are at-risk. He is also a tech enthusiast who has a particular affinity for Apple since he first used the Apple IIGS as a student. You can contact Brian on twitter as @brian8944. He also recently opened a Mastodon account at @brian8944@mastodon.cloud. Mark Fuccio is actively involved in high tech startup companies, both as a principle at piqsure.com, or as a marketing advisor through his consulting practice Tactics Sells High Tech, Inc. Mark was a proud investor in Microsoft from the mid-1990's selling in mid 2000, and hopes one day that MSFT will be again an attractive investment. You can contact Mark through Twitter, LinkedIn, or on Mastodon. Jeff Gamet is a technology blogger, podcaster, author, and public speaker. Previously, he was The Mac Observer's Managing Editor, and the TextExpander Evangelist for Smile. He has presented at Macworld Expo, RSA Conference, several WordCamp events, along with many other conferences. You can find him on several podcasts such as The Mac Show, The Big Show, MacVoices, Mac OS Ken, This Week in iOS, and more. Jeff is easy to find on social media as @jgamet on Twitter and Instagram, jeffgamet on LinkedIn., @jgamet@mastodon.social on Mastodon, and on his YouTube Channel at YouTube.com/jgamet. David Ginsburg is the host of the weekly podcast In Touch With iOS where he discusses all things iOS, iPhone, iPad, Apple TV, Apple Watch, and related technologies. He is an IT professional supporting Mac, iOS and Windows users. Visit his YouTube channel at https://youtube.com/daveg65 and find and follow him on Twitter @daveg65 and on Mastodon at @daveg65@mastodon.cloud. Dr. Marty Jencius has been an Associate Professor of Counseling at Kent State University since 2000. He has over 120 publications in books, chapters, journal articles, and others, along with 200 podcasts related to counseling, counselor education, and faculty life. His technology interest led him to develop the counseling profession ‘firsts,' including listservs, a web-based peer-reviewed journal, The Journal of Technology in Counseling, teaching and conferencing in virtual worlds as the founder of Counselor Education in Second Life, and podcast founder/producer of CounselorAudioSource.net and ThePodTalk.net. Currently, he produces a podcast about counseling and life questions, the Circular Firing Squad, and digital video interviews with legacies capturing the history of the counseling field. This is also co-host of The Vision ProFiles podcast. Generally, Marty is chasing the newest tech trends, which explains his interest in A.I. for teaching, research, and productivity. Marty is an active presenter and past president of the NorthEast Ohio Apple Corp (NEOAC). Jim Rea built his own computer from scratch in 1975, started programming in 1977, and has been an independent Mac developer continuously since 1984. He is the founder of ProVUE Development, and the author of Panorama X, ProVUE's ultra fast RAM based database software for the macOS platform. He's been a speaker at MacTech, MacWorld Expo and other industry conferences. Follow Jim at provue.com and via @provuejim@techhub.social on Mastodon. Guy Serle, best known for being one of the co-hosts of the MyMac Podcast, sincerely apologizes for anything he has done or caused to have happened while in possession of dangerous podcasting equipment. He should know better but being a blonde from Florida means he's probably incapable of understanding the damage he has wrought. Guy is also the author of the novel, The Maltese Cube. You can follow his exploits on Twitter, catch him on Mac to the Future on Facebook, at @Macparrot@mastodon.social, and find everything at VertShark.com.   Support:      Become a MacVoices Patron on Patreon     http://patreon.com/macvoices      Enjoy this episode? Make a one-time donation with PayPal Connect:      Web:     http://macvoices.com      Twitter:     http://www.twitter.com/chuckjoiner     http://www.twitter.com/macvoices      Mastodon:     https://mastodon.cloud/@chuckjoiner      Facebook:     http://www.facebook.com/chuck.joiner      MacVoices Page on Facebook:     http://www.facebook.com/macvoices/      MacVoices Group on Facebook:     http://www.facebook.com/groups/macvoice      LinkedIn:     https://www.linkedin.com/in/chuckjoiner/      Instagram:     https://www.instagram.com/chuckjoiner/ Subscribe:      Audio in iTunes     Video in iTunes      Subscribe manually via iTunes or any podcatcher:      Audio: http://www.macvoices.com/rss/macvoicesrss      Video: http://www.macvoices.com/rss/macvoicesvideorss

Ever received a push notification on your phone? There's a good chance it came through MoEngage.Raviteja Dodda, founder of MoEngage, shares the story of building a SaaS company from India that now sends 80 billion messages to 2 billion users across 1,200 brands. A decade-long  journey of MoEngage from its early years to becoming a category leader in customer engagement. He shares how the company grew by focusing on Indian customers as the strongest validation of product-market fit, before expanding globally by building regional teams with autonomy and hiring people with a founder's mindset to navigate new markets.Ravi also shares the why behind differences in pricing between US and Indian customers (think Swiggy vs DoorDash) and how revenue margins vary when selling in India versus abroad.Whether you're curious about the software powering some of the most familiar brands and apps we use every day, or want a behind-the-scenes look at how MoEngage built an $800M global SaaS business from India,then this episode is for you.0:00 – Trailer1:12 – Founder of software powering messages to 2B Users3:50 – Building one of India's first mobile apps8:49 – Acquiring India's top consumer Internet companies10:12 – Mobile → online → offline: Covering all touchpoints13:19 – How MoEngage became a category leader16:52 – Customer support is extremely rewarding in India24:12 – Reasons for Pricing gap: Swiggy vs. DoorDash27:55 – Revenue margins: India vs. abroad28:30 – Moving OLA from internal solution to Moengage29:54 – Key milestones in MoEngage's journey32:32 – Revenue split across customers33:37 – GTM to take a product built in India global41:19 – Why MoEngage should've entered Europe earlier43:51 – Middle East as the fastest-growing market44:21 – People who create v/s people who execute playbooks50:05 – How to sign large global customers from India?52:54 – Spotting early adopters in new markets55:59 – Can new companies win in mature categories?59:13 – MoEngage's position in AI1:01:54 – Building a $10M ARR SaaS: US vs. India1:03:57 – Scale in India first or go US on Day 0?1:08:45 – MoEngage's IPO timeline1:10:05 – Most exciting SaaS companies from India1:14:11 – Regional teams as mini-startups1:16:51 – What worked for MoEngage in fundraising?-------------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

The panel explores how M-series Macs—with huge unified memory and efficient silicon—are gaining traction for AI inference and on-device privacy, citing MacStadium use cases and enterprise angles like Copilot adoption. Chuck Joiner, David Ginsburg, Marty Jencius, Brian Flanigan-Arthurs, Eric Bolden, Guy Serle, Web Bixby, Jeff Gamet, Jim Rea, and Mark Fuccio contrast training vs. inference, discuss small language models, and corporate data policies. The session wraps up with the alleged FCC leak of iPhone 16e schematics, and Xiaomi's unabashed Apple cloning—plus a quick note on viral AI fakes.  This edition of MacVoices is brought to you by the MacVoices Dispatch, our weekly newsletter that keeps you up-to-date on any and all MacVoices-related information. Subscribe today and don't miss a thing. Show Notes: Chapters: [0:30] AI workloads on Macs and unified memory advantages [1:36] Training vs. inference explained; why memory matters [3:49] M3/M4 bandwidth, neural accelerators, and privacy [5:35] Avoiding the “NVIDIA tax” with custom silicon [7:13] Power efficiency and enterprise adoption angles [9:45] User education and Copilot in corporate settings [12:42] Small language models for classrooms and offline use| [16:34] Alleged FCC leak of iPhone 16e schematics [22:47] Xiaomi's cloning culture and SEO gaming [25:29] Viral AI “security footage” hoaxes and media literacy Links: MacStadium: Macs increasingly being adopted for enterprise AI workloads https://appleworld.today/2025/09/macstadium-macs-increasingly-being-adopted-for-enterprise-ai-workloads/ College football keeps picking iPad over Surface as fourth conference joins team Apple https://9to5mac.com/2025/09/25/college-football-keeps-picking-ipad-over-surface-as-fourth-conference-joins-team-apple/ Xiaomi's latest Apple clones include 'Hyper Island' and 'Pad Mini' tablet https://9to5google.com/2025/09/26/xiaomis-latest-apple-clones-include-hyper-island-and-pad-mini-tablet-gallery AI Video of Sam Altman Stealing GPUs https://www.instagram.com/ai.innovationshub/reel/DPPdo3VDxmI/ FCC mistakenly leaks confidential iPhone 16e schematics https://appleinsider.com/articles/25/09/29/fcc-mistakenly-leaks-confidential-iphone-16e-schematics?utm_source=rss Guests: Web Bixby has been in the insurance business for 40 years and has been an Apple user for longer than that.You can catch up with him on Facebook, Twitter, and LinkedIn, but prefers Bluesky. Eric Bolden is into macOS, plants, sci-fi, food, and is a rural internet supporter. You can connect with him on Twitter, by email at embolden@mac.com, on Mastodon at @eabolden@techhub.social, on his blog, Trending At Work, and as co-host on The Vision ProFiles podcast. Brian Flanigan-Arthurs is an educator with a passion for providing results-driven, innovative learning strategies for all students, but particularly those who are at-risk. He is also a tech enthusiast who has a particular affinity for Apple since he first used the Apple IIGS as a student. You can contact Brian on twitter as @brian8944. He also recently opened a Mastodon account at @brian8944@mastodon.cloud. Mark Fuccio is actively involved in high tech startup companies, both as a principle at piqsure.com, or as a marketing advisor through his consulting practice Tactics Sells High Tech, Inc. Mark was a proud investor in Microsoft from the mid-1990's selling in mid 2000, and hopes one day that MSFT will be again an attractive investment. You can contact Mark through Twitter, LinkedIn, or on Mastodon. Jeff Gamet is a technology blogger, podcaster, author, and public speaker. Previously, he was The Mac Observer's Managing Editor, and the TextExpander Evangelist for Smile. He has presented at Macworld Expo, RSA Conference, several WordCamp events, along with many other conferences. You can find him on several podcasts such as The Mac Show, The Big Show, MacVoices, Mac OS Ken, This Week in iOS, and more. Jeff is easy to find on social media as @jgamet on Twitter and Instagram, jeffgamet on LinkedIn., @jgamet@mastodon.social on Mastodon, and on his YouTube Channel at YouTube.com/jgamet. David Ginsburg is the host of the weekly podcast In Touch With iOS where he discusses all things iOS, iPhone, iPad, Apple TV, Apple Watch, and related technologies. He is an IT professional supporting Mac, iOS and Windows users. Visit his YouTube channel at https://youtube.com/daveg65 and find and follow him on Twitter @daveg65 and on Mastodon at @daveg65@mastodon.cloud. Dr. Marty Jencius has been an Associate Professor of Counseling at Kent State University since 2000. He has over 120 publications in books, chapters, journal articles, and others, along with 200 podcasts related to counseling, counselor education, and faculty life. His technology interest led him to develop the counseling profession ‘firsts,' including listservs, a web-based peer-reviewed journal, The Journal of Technology in Counseling, teaching and conferencing in virtual worlds as the founder of Counselor Education in Second Life, and podcast founder/producer of CounselorAudioSource.net and ThePodTalk.net. Currently, he produces a podcast about counseling and life questions, the Circular Firing Squad, and digital video interviews with legacies capturing the history of the counseling field. This is also co-host of The Vision ProFiles podcast. Generally, Marty is chasing the newest tech trends, which explains his interest in A.I. for teaching, research, and productivity. Marty is an active presenter and past president of the NorthEast Ohio Apple Corp (NEOAC). Jim Rea built his own computer from scratch in 1975, started programming in 1977, and has been an independent Mac developer continuously since 1984. He is the founder of ProVUE Development, and the author of Panorama X, ProVUE's ultra fast RAM based database software for the macOS platform. He's been a speaker at MacTech, MacWorld Expo and other industry conferences. Follow Jim at provue.com and via @provuejim@techhub.social on Mastodon. Guy Serle, best known for being one of the co-hosts of the MyMac Podcast, sincerely apologizes for anything he has done or caused to have happened while in possession of dangerous podcasting equipment. He should know better but being a blonde from Florida means he's probably incapable of understanding the damage he has wrought. Guy is also the author of the novel, The Maltese Cube. You can follow his exploits on Twitter, catch him on Mac to the Future on Facebook, at @Macparrot@mastodon.social, and find everything at VertShark.com.   Support:      Become a MacVoices Patron on Patreon      http://patreon.com/macvoices      Enjoy this episode? Make a one-time donation with PayPal Connect:      Web:      http://macvoices.com      Twitter:      http://www.twitter.com/chuckjoiner      http://www.twitter.com/macvoices      Mastodon:      https://mastodon.cloud/@chuckjoiner      Facebook:      http://www.facebook.com/chuck.joiner      MacVoices Page on Facebook:      http://www.facebook.com/macvoices/      MacVoices Group on Facebook:      http://www.facebook.com/groups/macvoice      LinkedIn:      https://www.linkedin.com/in/chuckjoiner/      Instagram:      https://www.instagram.com/chuckjoiner/ Subscribe:      Audio in iTunes      Video in iTunes      Subscribe manually via iTunes or any podcatcher:      Audio: http://www.macvoices.com/rss/macvoicesrss      Video: http://www.macvoices.com/rss/macvoicesvideorss

Jason Droege is the CEO of Scale AI, a company that provides foundational training data to every major AI lab. He previously co-founded Scour with Travis Kalanick and built Uber Eats from idea to $20 billion in revenue. In this conversation, Jason shares lessons from getting sued for $250 billion, discovering restaurant economics by weighing sandwich ingredients, and over 25 years of launching transformative technology businesses.What you'll learn:What actually happened with Meta's $14 billion investment in Scale AIWhy AI models still need human experts to improve, and how that relationship is evolvingHow AI models learn from experts building websites and debugging codeThe business lessons from building Uber Eats from zero to $20 billionWhy most enterprise data is useless for AI models todayWhy urgent daily problems beat super-valuable occasional problems when building productsHow to think independently when building new products and businesses—Brought to you by:Merge—The fastest way to ship 220+ integrations: http://merge.dev/lennyFigma Make—A prompt-to-code tool for making ideas real: https://www.figma.com/lenny/Mercury—The art of simplified finances: https://mercury.com/—Transcript: https://www.lennysnewsletter.com/p/first-interview-with-scale-ais-ceo-jason-droege—My biggest takeaways (for paid newsletter subscribers): https://www.lennysnewsletter.com/i/174979621/my-biggest-takeaways-from-this-conversation—Where to find Jason Droege:• X: https://x.com/jdroege• LinkedIn: https://www.linkedin.com/in/jasondroege/—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 Jason Droege(06:01) Jason's early career and lessons learned(10:27) The current state of Scale AI(12:37) The shift to expert data labeling(17:02) Challenges and strategies in finding experts(18:48) Reinforcement learning and AI environments(28:18) The future of AI and human involvement(31:21) The role of evals(35:25) What AI models will look like in the next few years(41:43) Building Uber Eats and understanding customer needs(48:19) The importance of independent thinking(50:45) Setting high standards for new businesses(53:03) Exploring and selecting business ideas(57:07) The McDonald's story(01:00:13) The role of gross margins in business feasibility(01:04:49) Why Jason says, “Not losing is a precursor to winning”(01:09:12) Hiring and building teams(01:12:11) AI corner(01:14:47) Lightning round and final thoughts—Referenced:• Travis Kalanick on X: https://x.com/travisk• Scour: https://en.wikipedia.org/wiki/Scour_Inc.• Scale: https://scale.com/• Alexandr Wang on X: https://x.com/alexandr_wang• Why experts writing AI evals is creating the fastest-growing companies in history | Brendan Foody (CEO of Mercor): https://www.lennysnewsletter.com/p/experts-writing-ai-evals-brendan-foody• Brendan Foody's post on X about knowledge work changing: https://x.com/BrendanFoody/status/1970163503702188048• MIT Finds 95% of GenAI Pilots Fail Because Companies Avoid Friction: https://www.forbes.com/sites/jasonsnyder/2025/08/26/mit-finds-95-of-genai-pilots-fail-because-companies-avoid-friction/• Uber Eats: https://www.ubereats.com/• Stephen Chau on X: https://x.com/thestephenchau• a16z Podcast: https://a16z.com/podcasts/a16z-podcast/• F1: The Movie: https://www.imdb.com/title/tt16311594/• V03: https://v03ai.com/• Careers at Scale: https://scale.com/careers—Recommended books:• The Selfish Gene: https://www.amazon.com/Selfish-Gene-Anniversary-Introduction/dp/0199291152• The Road Less Traveled: A New Psychology of Love, Traditional Values, and Spiritual Growth: https://www.amazon.com/Road-Less-Traveled-Timeless-Traditional/dp/0743243153/• Good to Great: Why Some Companies Make the Leap . . . And Others Don't: https://www.amazon.com/Good-Great-Some-Companies-Others/dp/0066620996• Thinking, Fast and Slow: https://www.amazon.com/Thinking-Fast-Slow-Daniel-Kahneman/dp/0374533555/—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. To hear more, visit www.lennysnewsletter.com

Discover how Neurix is building the next generation of voice AI that sounds and reacts like a human in this conversation with Peeyush, former Google technologist and co-founder of Miracle Labs. Peeyush shares how Neurix is solving the toughest challenges in conversational AI — from eliminating latency to creating natural, real-time dialogue that mirrors human interaction. He explains why voice is the hardest frontier in AI, how Neurix's proprietary models manage conversation flow, and what it takes to integrate voice agents into enterprise systems at scale. Learn how Neurix is combining low-latency speech recognition, dialogue management, and large language models to deliver seamless, multilingual customer experiences. If you're a business leader, product builder, or AI professional interested in how human-like voice agents are transforming customer support and enterprise communication, this episode reveals the future of intelligent conversation.   Stay Updated: Craig Smith on X:https://x.com/craigss  Eye on A.I. on X: https://x.com/EyeOn_AI 

"In the context of where Confluent can play a critical part, it's also the interoperable integration with all the respective AI ecosystems. If you think about what AI is doing, it's working across microservices, working across data lakehouses, databases - could be a different endpoint service. Bringing all that together in a secure and consistent manner, constantly serving that information, is where I think it plays the most pivotal role." - Kamal Brar Fresh out of the studio, Kamal Brar, Senior Vice President of Worldwide ISV and Asia Pacific/Middle East at Confluent, joins us to explore how data streaming platforms are becoming the critical foundation for enterprise AI across the regions. He shares his career journey from Oracle to Confluent, reflecting on his passion for open source technologies and how the LAMP stack era shaped his understanding of real-time data challenges. Kamal explains Confluent's evolution from the category creator of Kafka to a comprehensive data streaming platform combining Kafka, Flink, and Iceberg, emphasizing how real-time data infrastructure enables businesses to harness both public AI models and proprietary enterprise data while maintaining governance and security. He highlights compelling customer stories from India's National Payments Corporation processing billions of UPI transactions daily to healthcare AI applications serving patient needs, showcasing how data streaming solves fragmentation challenges that plague 89% of enterprises attempting AI adoption. Addressing implementation hurdles, he stresses that data infrastructure is the most critical piece for AI success, advocating for standards-based interoperability through Kafka's protocol and Confluent's extensive connector ecosystem to unlock siloed legacy systems. Closing the conversation, Kamal shares his vision for Asia Pacific becoming Confluent's largest growth region, powered by massive-scale innovations in payments, mobile transformation, and AI on the edge for autonomous vehicles and next-generation interfaces. Episode Highlights: [00:00] Quote of the Day by Kamal Brar [01:00] Kamal's Career journey from computing to open source [04:00] Attraction to data streaming and Kafka ecosystem [07:00] Confluent's mission: data streaming platform leadership [10:00] Why data streaming is critical for AI [13:00] Report findings: 89% eager to adopt DSP [14:00] Data fragmentation remains biggest enterprise challenge [17:00] Real-time visibility becomes competitive differentiator [20:00] AI-enabled applications transforming enterprise stack [24:00] India payments: Kafka powers UPI infrastructure [27:00] Data governance and security in AI [33:00] Data infrastructure: foundation for scalable AI [35:00] Connectors enable seamless system interoperability [38:00] Interoperability unlocks fragmented enterprise data [39:00] Asia Pacific driving aggressive regional growth [42:00] What does great look like for Confluent [44:00] Closing Profile: Kamal Brar, Senior Vice President WW ISV [Independent Software Vendor] & Asia Pacific/Middle East, Confluent https://www.confluent.io https://www.linkedin.com/in/kamalbrar Podcast Information: Bernard Leong hosts and produces the show. The proper credits for the intro and end music are "Energetic Sports Drive." G. Thomas Craig mixed and edited the episode in both video and audio format. Here are the links to watch or listen to our podcast: Analyse Asia Main Site: https://analyse.asia Analyse Asia Spotify: https://open.spotify.com/show/1kkRwzRZa4JCICr2vm0vGl Analyse Asia Apple Podcasts: https://podcasts.apple.com/us/podcast/analyse-asia-with-bernard-leong/id914868245 Analyse Asia LinkedIn: https://www.linkedin.com/company/analyse-asia/ Analyse Asia X (formerly known as Twitter): https://twitter.com/analyseasia Sign Up for Our This Week in Asia Newsletter: https://www.analyse.asia/#/portal/signup Subscribe Newsletter on LinkedIn https://www.linkedin.com/build-relation/newsletter-follow?entityUrn=7149559878934540288

In this episode of the Shift AI Podcast, Sanjna Parulekar, SVP of Product Marketing at Salesforce, joins host Boaz Ashkenazy to explore the reality of enterprise AI adoption beyond the media hype. With her psychology background and eight years at one of the world's leading enterprise software companies, Parulekar offers a grounded perspective on how large organizations are actually implementing AI agents and what the human side of AI transformation really looks like.From discussing the courage required to transform workflows to the importance of data strategy foundations, Parulekar shares insights on why some companies are succeeding with AI while others struggle with pilots. She also explores how voice technology fits into enterprise solutions, the evolving role of humans in AI systems, and why the future of work will be both more exciting and more intentional. If you're interested in understanding where enterprise AI adoption actually stands versus the narrative, this conversation provides valuable insights from the trenches.Chapters:[00:00:35] Introduction and Background [00:01:56] Sanjna's Journey from AI Startups to Salesforce[00:03:52] Enterprise AI Adoption Reality vs. Hype [00:07:16] How Jobs Are Changing with AI Agents [00:10:30] The Human Experience in AI Transformation [00:11:25] Voice Technology in Enterprise Solutions [00:13:56] Humans in the Loop: When and How [00:18:08] The Truth About AI Hype Cycles [00:22:13] Big Enterprise Customer Conversations [00:26:35] Leadership Changes in the AI Era [00:29:56] Two Words for the Future of WorkContact Information:Connect with Sanjna Parulekar● LinkedIn: https://www.linkedin.com/in/sanjna-parulekar-0248a537/● Company: SalesforceConnect with Boaz Ashkenazy● LinkedIn: https://www.linkedin.com/in/boazashkenazy● X: boazashkenazy● Email: info@shiftai.fm

Most companies are racing to adopt generative and agentic AI — but many are skipping the most important steps. In this episode of Today in Tech, host Keith Shaw is joined by Prem Natarajan, EVP, Chief Scientist, and Head of Enterprise AI at Capital One, for a candid discussion about what true AI readiness looks like in the enterprise. Learn why flashy demos aren't enough — and what organizations must invest in to move beyond experimentation: Why data quality, cloud architecture, and talent are non-negotiables How Capital One built its own AI agent platform (and why most companies can't yet) The difference between outputs vs. outcomes in agentic AI What “human in the loop” really means in 2025 Why trust must be earned — by the technology The overlooked role of governance, risk, and strategic patience AI success starts long before the first model is deployed.

This episode with Prof. Arun Kumar is a look at the Indian economy beyond headlines and GDP numbers. We discuss the paradox behind India's growth story: when GDP rises, does it really reach the people? We explore how poverty in India has officially fallen from 27% to 5.3% in just over a decade, yet real wages have been shrinking, especially for rural workers. If fewer people are poor on paper, but incomes aren't rising, what's actually driving this improvement?We talk about how the structure of India's economy is changing, how wealth is concentrated, and the weakening of the public sector to how the black economy distorts policy outcomes.We discuss why state finances are now becoming a silent crisis, and how India's macroeconomic stability, while strong, hides inequalities that threaten long-term growth. The episode also explores the solutions, which India needs to fix over the next 20 years to make growth truly inclusive and meaningful for everyone.0:00 – Trailer1:01 – Does GDP growth translate to ground reality?6:46 – Is India truly the 4th largest economy?10:30 – Poverty fell 22% in 12 years, yet wages dropped.14:06 – Does the poverty line reflect reality?18:07 – What % of India is really poor?21:00 – Are middle-class families going into debt for basics?23:26 – How are rich, middle, and poor defined?24:44 – Wealth is shifting26:56 – How stable is India's macroeconomy?30:48 – Why India cannot open up some sectors34:27 – Why R&D spending remains low in India35:36 – Is the consensus on need for public sector falling?38:18 – Black economy kills public sector41:37 – How healthy are the Indian state economies?44:51 – Is the tax split b/w centre and states working?47:05 – How can India create jobs in Unorganised sectors?53:12 – What are the solutions to fix Indian economy in next 20 years-------------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

The blog postAre 95% of enterprise AI pilots really “failing”? And how does that compare to the long-repeated claim that 70% of Lean initiatives fail? In this episode of Lean Blog Audio, Mark Graban examines what's really behind these numbers. He explains why many so-called “failures” stem not from flawed tools or technologies, but from leadership gaps, unrealistic goals, and a lack of psychological safety.Drawing lessons from Lean practice and his book The Mistakes That Make Us, Mark highlights the importance of experimentation, learning from setbacks, and creating an environment where people feel safe to try, adjust, and improve. Whether you're implementing AI, Lean, or any transformation, the key is shifting from fear of failure to a culture of continuous learning.

If most companies are using the same AI systems, how can they stand out and get ahead? And as agentic AI becomes table stakes, what do enterprises need to keep in mind to make AI work? And how can we even trust an AI-powered workplace when most people can't even explain the basics of AI? We're learning from the experts. Accenture's Mary Hamilton joins the Everyday AI show to talk about building trust in an autonomous workplace, how we can prepare for the future of work, and four emerging AI trends you can't miss. Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Thoughts on this? Join the convo and connect with other AI leaders on LinkedIn.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:AI-Powered Autonomy Shaping Future WorkGenerative AI's Impact on Business TransformationAccenture Technology Vision 2025 OverviewKey Trends: Autonomy and Enterprise AI AdoptionHuman Capability Expansion via AI ToolsTrust, Explainability, and Responsible AI PracticesAgentic AI Models and Productivity ShiftsContinuous Learning Loops in Workplace AIAI-Powered Robotics and Multimodal IntegrationPersonalization and Brand Voice with AI AgentsTimestamps:00:00 "AI's Impact on Business Autonomy"03:33 Accenture's Global Consultancy Overview09:48 Technology as a Game-Changing Partner12:16 Reinventing Responsible Tech Use14:31 Building Trust Through AI Interactions18:17 Building Trust in Enterprise Data23:20 Embracing AI: Active Learning Loop26:24 "Embracing Efficiency with AI Agents"Keywords:AI powered autonomy, generative AI, large language models, future of work, automation, business transformation, Accenture, innovation centers, strategic visioning, co-creation, ecosystem partners, digital core, technology consultancy, technology reinvention, enterprise AI adoption, operational efficiency, Technology Vision 2025, AI trends, human-like capabilities, language barrier, technology acceleration, digital agents, digital transformation, customer interaction, trust in AI, responsible AI, data platform, knowledge graphs, AI-driven robotics, warehouse automation, personalization at scale, brand voice in AI, digital twin, agentic models, observability, traceability, explainability, continuous learning loop, employee upskilling, generative AI productivity, change management, value-driven outcomes, super agents, utility agents, orchestrator agents, AI partner, human agency, AI collaboration, AI model accuracy, enSend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Ready for ROI on GenAI? Go to youreverydayai.com/partner

Tom Drummond, Managing Partner at Heavybit, joins the show to break down what it takes to build and scale AI “picks and shovels” companies for the enterprise. We dive into the realities of selling into one of the hardest markets to reach, why differentiation matters more than ever, and how startups can wedge their way into massive opportunities despite fierce competition.Key Takeaways• Enterprise attention is more competitive than ever—breaking through requires clarity and category creation.• Cold email and traditional outbound are saturated—startups must iterate quickly on channels and messaging.• Landing enterprise deals often starts with developers and end users, not CIOs—grassroots adoption is powerful.• Narrow wedges matter—solve one painful, high-value problem better than anyone else, then expand.• Timing the industry cycle is critical—knowing when markets fragment and when they consolidate can define outcomes.Timestamped Highlights02:03 — Why enterprise attention has never been harder to win04:55 — Differentiation in a sea of lookalike AI infrastructure startups07:34 — Cold email vs content, billboards, and unconventional channels08:35 — The Pareto rule of enterprise revenue and why developer adoption is key11:47 — Competing with big tech incumbents: the power of the narrow wedge21:03 — Where the market is headed: cycles of expansion, contraction, and consolidationA line that stuck“You don't win by being another tool—you win by defining the category everyone else has to fit into.”Call to ActionIf you enjoyed this conversation, share it with a founder or tech leader who's navigating the enterprise market. Make sure to follow the show for more unfiltered conversations with people shaping the future of software and AI.

“When I saw Google change the destiny of the planet, I could not imagine doing anything else but working with brilliant entrepreneurs.”-Asha Jadeja Motwani and her husband, Rajeev Motwani, the Silicon Valley legend of technical startups, are together the founding stakeholders of Google.In the late 1990s, they came to the United States as most Indians, as students. From being part of Google's early days to their journey as investors and now, extending that into an active participation in American politics. She speaks about Rajeev's pivotal role in mentoring Larry Page and Sergey Brin, co-authoring the PageRank paper, and helping shape Google's DNA. Today, through the Motwani Jadeja Foundation, Asha continues to build on that legacy; funding entrepreneurs, supporting Indian voices in global think tanks, and opening doors at Davos and Washington. Asha also reflects on how the Indian diaspora can play a far greater role in shaping the future of India-US partnership and why entrepreneurs are critical to the future of this relationship.If you're an entrepreneur building in the India–US corridor, or curious about the opportunities the two nations are creating for startups, then this episode is for you.00:00  – Trailer01:25 – How Rajeev became founding stakeholder of Google03:48 – The early days of Google: first office to first funding07:52 – Investments of Dot Edu Ventures10:03 – Asha's role in American politics10:45 – How Indians in Silicon Valley can strengthen US–India corridor12:18 – The lack of Indian scholars in think tanks13:14 – Do Indians have enough influence in American politics?13:52 – Is Silicon Valley & the Indian diaspora shifting right?15:00 – The impact of Trump on India–US relations17:36 – Asha's role in opening doors for India globally21:09 – How the Motwani Foundation selects projects and people24:08 – Entrepreneurs as a critical part of US–India value creation24:54 – What's missing in US–India value creation?26:33 – Report on “jailed for doing business” in India27:56 – The legacy of Rajeev Motwani-------------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

Nikola Mrkšić, Co-founder and CEO of PolyAI, joins Alex Theuma on the SaaS Revolution Show to reveal how voice AI agents are driving millions in revenue for its enterprise customers. Nikola shares his journey from competing in math olympiads to building a leading global AI company. They discuss the evolution of AI, its role in social mobility, the impact on customer service, effective enterprise sales and AI pricing strategies, and more. This episode covers: - Nikola's background and how it shaped his approach to AI. - Why AI has the potential to transform customer service even further. - Why building a successful company requires delighting customers and improving products. - The challenges and opportunities that come from rapid AI development. - Sales strategies that align with enterprise customers. - The challenges of outcome-based pricing and why it's powerful. - How AI voice agents can deliver significant ROI for businesses. - The future of PolyAI focuses on scaling impact and improving customer experience. - A look ahead to Nikola's upcoming keynote at SaaStock Europe. Guest links: LinkedIn: https://www.linkedin.com/in/nikola-mrksic/ Website: https://poly.ai/       Check out the other ways SaaStock is helping SaaS founders move their business forward: 

Matt McLarty, CTO at Boomi, joins the show to break down what enterprise AI adoption really looks like in 2025. From navigating the hype cycle to identifying practical first steps, Matt shares what separates companies that are seeing value from those stuck in endless pilots. If you're a tech leader wondering how to move beyond experimentation and into measurable outcomes, this episode is your playbook.Key Takeaways• AI adoption is not binary—it's a spectrum, and success depends on linking it to business value, not just “using AI.”• Orientation matters: every company needs an honest assessment of where they are on their digital maturity curve before jumping in.• Small, low-risk bets build the organizational muscle memory required for bigger wins.• The fastest wins often come from augmenting existing automation rather than chasing moonshots.• Companies that succeed treat AI as a tool to solve business problems, not as an end goal.Timestamped Highlights01:38 – Why AI's hype cycle feels like “Mount Everest” compared to cloud and mobile04:50 – Why AI adoption can't be compared to past waves like blockchain or cloud07:36 – The hidden foundation: digital transformation work still matters11:11 – The inversion that changes everything: AI isn't the goal, business outcomes are16:26 – Defining “adoption” as a multi-dimensional spectrum, not a checkbox19:50 – How to recover if your first AI projects fall short28:04 – Building adaptability as a core enterprise competency31:25 – The common traits of companies succeeding with AI right nowA standout moment“AI isn't the end goal—it's just another tool. The real question is, what business problems can we finally solve with it?” – Matt McLartyCall to actionIf this episode gave you a clearer path toward enterprise AI adoption, share it with a colleague and follow the show so you never miss a conversation on where tech leadership is heading.

This episode is sponsored by AGNTCY. Unlock agents at scale with an open Internet of Agents. Visit https://agntcy.org/ and add your support.   Joel Hron, Chief Technology Officer at Thomson Reuters, joins Eye on AI to unpack the future of agentic systems and what it takes to build them responsibly at enterprise scale. We dive into the shift from prompt-based AI to true agentic workflows capable of planning, reasoning, and executing complex tasks. Joel breaks down how Thomson Reuters is deploying generative AI across law, tax, risk, and compliance, while keeping human experts in the loop to ensure trust and accuracy in high-stakes domains. Topics include: - What separates agentic AI from simple prompt-based tools - How “agency dials” (autonomy, tools, memory) change system behavior - Infrastructure and architecture required for multi-agent collaboration - Why human verification and user experience design are essential for trust - The future of coding, engineering skills, and AI adoption inside enterprises If you want to understand how a 170-year-old company is reinventing itself with AI — and what's next for agentic systems in business and knowledge work — this conversation is a must-listen. Stay Updated: Craig Smith on X:https://x.com/craigssEye on A.I. on X: https://x.com/EyeOn_AI

Cybercrime is predicted to drain the world of $10.5 trillion annually by 2025, making it one of the greatest threats to modern business.Shikhil Sharma, co-founder & CEO of Astra Security, is building one of today's most trusted pentesting platforms. Just last year, Astra uncovered over 2 million vulnerabilities across customer systems, preventing more than $69 million in potential lossesShikhil shares why Astra was built as a product- and marketing-first company, how storytelling helped the brand connect with people by clearly showing its purpose and expertise and how founder–investor relationships are built on conviction and trust. He breaks down why pricing transparency is no longer optional for B2B companies and how trust is emerging as the true currency of go-to-market. We discuss what it takes to build a SaaS company in today's AI-first world, from raising leaner rounds and running with smaller teams to creating products that customers love from day zero. Beyond the playbooks, this is a conversation about building durable companies and the mindset that drives Shikhil as a founder: success isn't bought, it's rented, and the rent is due every day.0:00 — Trailer0:56 — Early college days that led to a startup5:00 — AI could cut startup costs and team size by 80%8:43 — Why seed rounds should be under $500K11:45 — Marketing can beat sales in early-stage SaaS16:07 — Is Google search under threat from consumer AI?20:23 — Why B2B startups must display pricing transparently25:41 — What VCs lend founders beyond capital?28:36 — How 42 CIOs backed Atomicwork30:58 — Replace GTM with COT- currency of trust33:34 — Why 20-year SaaS playbooks no longer works35:37 — How AI is changing cybersecurity41:38 — How the founders first met in college46:33 — Are “hard startups” actually easier to build?51:50 — Neon X Astra Security-------------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

“Push something a millimetre in the private sector, you make an inch of progress. In the public sector, it's a mile of progress.”Subroto Bagchi started his career as a clerk in the Odisha government in 1976, leaving postgraduate studies. Today, eight years after serving at the rank of cabinet minister in the same government, he has certainly changed countless lives, not nameless faces. In this conversation, he passionately shares stories of young men and women from Odisha who overcame generational challenges by getting skilled, gaining not just jobs but identity.While this conversation could have focused on his remarkable journey building Mindtree in 1999 with 9 Co-founders and taking it to IPO, it goes beyond entrepreneurship. It's about stories from hinterland India, seen through the eyes of a founder who spent 16 years in the private sector before serving his home state. Subroto also reflects on India's big picture: instead of just chasing the trillion-dollar goal, we should also focus on improving quality of life for the 94% in the unorganized sector. This episode shares stories beyond metros, it highlights how building scalable solutions in business can translate into meaningful social impact. 0:00  – Trailer1:47 – 10-6-4-2 Method to evaluate ITIs6:15 – Muni Tigga: Locomotive Pilot story9:12 – Basanti Pradhan: Story of 50% of garment workers in Tiruppur from Orissa15:49 – Sumati Nayak: How skills give us identity19:16 – Joy of building Mindtree vs. joy of working in govt20:35 – The difficult stories of people moving away for Jobs23:32 – How Mr.Subroto accepted the Job?31:13 – The story behind “The Day the Chariot Moved”33:26 – How 8 years in hinterland India changed Mr. Subroto37:14 – India vs. Bharat42:04 – India's priorities beyond the $5 trillion economy43:43 – Quality of life for a gig worker in India vs. a developed country45:29 – Reality of 94% India that is unorganised47:50 – What India gives its vocationally trained students?49:09 – Stereotypes about govt, that maybe not true anymore52:03 – The highly efficient & incorrupt politicians54:00 – Where the government has succeeded in delivery?-------------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.Find Mr.Subroto Bagchi's latest book here: The day the Chariot MovedSend us a text

"I think the biggest trap to potentially fall into is, "Hey, it's moving so fast, so much is changing. Let's just wait it out." Completely the wrong approach. You just gotta get started." Nick Eayrs from Databricks "As tech people within the shipping industry, how do we explain, how do we make it accessible to all our users? So that's where we came up with the idea of a data supermarket, with in mind really the target of enabling self-service for our business. So by giving the analogy of a supermarket, it was much easier at the beginning to explain our business." - Simon Fassot from Hafnia Fresh out of the studio, Nick Eayrs, Vice President of Field Engineering for Asia Pacific and Japan at Databricks, and Simon Fassot, General Manager and Head of Global Data and Analytics at Hafnia, join us to explore how data intelligence is transforming enterprise AI across diverse industries in Asia. Nick explained the fundamental distinction between general intelligence and data intelligence - emphasizing how enterprises gain competitive advantage by training AI on their proprietary data rather than public knowledge. Nick showcased customer success stories including Standard Chartered Bank and TechComBank and shared his perspectives on how senior executives can take advantage of AI by moving fast rather than wait and see. Last but not least, Nick offered what great would look like for Databricks in Asia Pacific and Japan in serving their customers. Adding the lens of the customer, Simon shared Hafnia's transformation from legacy SQL Server systems to a unified Databricks architecture serving their global shipping operations and elaborated on how the company is breaking down silos with their data supermarket and "Marvis" AI copilot for maritime operations based on retrieval augmented generation. This is Part 1 from Databricks Data + AI Event Singapore.  Episode Highlights: [00:00] QOTD by Nick Eayrs and Simon Fassot [00:49] Introduction: Nick Eayrs from Databricks [03:32] Customer obsession means deeply understanding their business context [05:22] Data intelligence versus artificial general intelligence explanation begins [06:42] AI trained on your data creates competitive advantage [08:17] Only 15% of companies have correct AI infrastructure ready [11:17] Don't wait for AI perfection, just get started now [12:30] Agent Bricks simplify AI development using natural language [13:49] Standard Chartered Bank cybersecurity use case with SIEM [16:22] TechCom Bank in Vietnam customer brain with 12,000 customer attributes [18:32] Shared responsibility model for ethical AI deployment [25:24] Asia Pacific psychology focuses on future, not past [26:28] Most important question: How do you get started? [30:18] What does great look like for Databricks? [33:16] Introduction: Simon Fassot from Hafnia [35:18] How Hafnia transformed to full cloud architecture centralizes data through Databricks [36:28] Self-service access needed for 300 onshore, 4000 vessel employees [37:00] Three user types: operations, business intelligence, domain experts and Use Cases for Hafnia [41:32] Unity catalog controls data quality for AI cases [42:21] Two-phase Gen AI: ingest unstructured, then consume data [44:25] How to implement Generative AI: One bad AI answer loses all user trust [45:31] How reports in Hafnia use RAG embedded in workflows [46:47] Data supermarket analogy simplifies self-service for business [48:39] Marvis AI personalizes Gen AI within company context [49:46] Neo4j partnership adds graph capabilities to ecosystem [53:33] DNA Port platform unifies scattered dashboards and applications [54:22] Databricks enables focus on business value over operations Profiles: Nick Eayrs, Vice President of Field Engineering, Asia Pacific & Japan at Databricks LinkedIn: https://www.linkedin.com/in/nick-eayrs/ Simon Fassot, General Manager and Head of Global Data and Analytics at Hafnia LinkedIn: https://www.linkedin.com/in/simon-fassot-68b95135/ Podcast Information: Bernard Leong hosts and produces the show. The proper credits for the intro and end music are "Energetic Sports Drive." G. Thomas Craig mixed and edited the episode in both video and audio format. Here are the links to watch or listen to our podcast. Analyse Asia Main Site: https://analyse.asia Analyse Asia Spotify: https://open.spotify.com/show/1kkRwzRZa4JCICr2vm0vGl Analyse Asia Apple Podcasts: https://podcasts.apple.com/us/podcast/analyse-asia-with-bernard-leong/id914868245 Analyse Asia LinkedIn: https://www.linkedin.com/company/analyse-asia/ Analyse Asia X (formerly known as Twitter): https://twitter.com/analyseasia Sign Up for Our This Week in Asia Newsletter: https://www.analyse.asia/#/portal/signup Subscribe Newsletter on LinkedIn https://www.linkedin.com/build-relation/newsletter-follow?entityUrn=7149559878934540288

This episode features a deep dive into the current state of AI model progress with Ari Morcos (CEO of Datalogy AI and former DeepMind/Meta researcher) and Rob Toews (partner at Radical Ventures). The conversation tackles whether model progress is genuinely slowing down or simply shifting into new paradigms, exploring the role of reinforcement learning in scaling capabilities beyond traditional pre-training. They examine the talent wars reshaping AI labs, Google's resurgence with Gemini, the sustainability of massive valuations for companies like OpenAI and Anthropic, and the infrastructure ecosystem supporting this rapid evolution. The discussion weaves together technical insights on data quality, synthetic data generation, and RL environments with strategic perspectives on acquisitions, regulatory challenges, and the future intersection of AI with physical robotics and brain-computer interfaces. (0:00) Intro(2:59) Debate on Model Progress(8:03) Challenges in AI Generalization and RL Environments(15:44) Enterprise AI and Custom Models(20:27) Google's AI Ascent and Market Impact(24:30) Valuations and Future of AI Companies(27:55) Evaluating xAI's Position in the AI Landscape(30:31) The Talent War in AI Research(35:45) The Impact of Acquihires on Startups(42:35) The Future of AI Infrastructure(48:28) The Potential of Brain-Computer Interfaces(54:45) The Evolution of AI and Robotics(1:00:50) The Importance of Data in AI Research With your co-hosts: @jacobeffron - Partner at Redpoint, Former PM Flatiron Health @patrickachase - Partner at Redpoint, Former ML Engineer LinkedIn @ericabrescia - Former COO Github, Founder Bitnami (acq'd by VMWare) @jordan_segall - Partner at Redpoint

How do we get from today's AI copilots to true human-level intelligence? In this episode of Eye on AI, Craig Smith sits down with Eiso Kant, Co-Founder of Poolside, to explore why reinforcement learning + software development might be the fastest path to human-level AI. Eiso shares Poolside's mission to build AI that doesn't just autocomplete code — but learns like a real developer. You'll hear how Poolside uses reinforcement learning from code execution (RLCF), why software development is the perfect training ground for intelligence, and how agentic AI systems are about to transform the way we build and ship software. If you want to understand the future of AI, software engineering, and AGI, this conversation is packed with insights you won't want to miss. Stay Updated: Craig Smith on X:https://x.com/craigss Eye on A.I. on X: https://x.com/EyeOn_AI (00:00) The Missing Ingredient for Human-Level AI(01:02) Eiso Kant's Journey(05:30) Using Software Development to Reach AGI(07:48) Why Coding Is the Perfect Training Ground for Intelligence(10:11)  Reinforcement Learning from Code Execution (RLCF) Explained(13:14) How Poolside Builds and Trains Its Foundation Models(17:35) The Rise of Agentic AI(21:08)  Making Software Creation Accessible to Everyone(26:03) Overcoming Model Limitations(32:08) Training Models to Think(37:24) Building the Future of AI Agents(42:11) Poolside's Full-Stack Approach to AI Deployment(46:28) Enterprise Partnerships, Security & Customization Behind the Firewall(50:48) Giving Enterprises Transparency to Drive Adoption  

Brian Mendenhall, Worldwide Head, Security & Identity Partner Specialists of Amazon Web Services, reveals the insider framework for transforming enterprise AI security, including the three-pillar approach and partnership strategies that leading companies use to navigate AI governance challenges.Topics Include:At AWS everything starts with security as core principleConsulting partners follow three-phase model: assess, remediate, then fully manage securityTraditional security framework covers threat detection, incident response, and data protectionAI compliance spans multiple governance bodies with stacking requirements and regulationsEU AI Act affects any company globally if Europeans access their applicationsThree pillars: security OF AI, AI FOR security, security FROM AI attacksAWS launches AI security competency program with specialized partner categories and certificationsEnterprise AI spans five risk levels from consumer apps to self-trained modelsLegal liability dramatically increases as you move toward custom AI implementationsSafety means preventing harm; security means preventing breaches - both critical distinctionsCurrent AI hallucination rates hit 65-75% across major platforms like PalantirShared responsibility model determines who's liable when AI security tools failIndustry evolution progresses from machine learning to generative AI to autonomous agentsMajor prototype-to-production gap caused by governance, security, and scalability challengesSuccessful AWS partnerships require clear use cases, differentiation, and targeted go-to-market strategyParticipants:Brian Mendenhall - WW Head, Security & Identity Partner Specialists, Amazon Web ServicesSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

Description/ShownotesWhat if your company could launch its first AI agent in just two weeks? That's exactly what Mollie Bodensteiner, SVP of Operations at Engine, accomplished — and the results are game-changing: $2M in projected annual savings, a 67% lift in sales rep productivity, and CSAT scores above 90%. Mollie shares the real story of implementing AI at scale, why ruthless prioritization matters, how to avoid the “Frankenstack” trap, and why AI should be seen as a growth enabler, not a cost-cutting exercise. Whether you're leading a small team or scaling globally, Mollie's practical playbook will help you cut through the noise, drive adoption, and build AI solutions that stick. Tune in to hear how Engine's agile approach turned imagination into execution—and why trust, people, and culture are still the ultimate differentiators. Key Moments: 00:00 AI Philosophy & Common Challenges02:44 Ruthless Prioritization and AI Rollout08:04 Mollie Bodensteiner's Background and Engine's AI Journey14:40 AI Implementation and Customer Experience Impact28:07 AI Agents in Sales and Coaching34:48 AI in Professional Training and Education38:06 Human-AI Collaboration and Adoption Challenges48:34 Ensuring AI Quality and Risk Management51:45 Choosing and Evaluating AI Tools01:00:54 Underhyped AI Applications01:03:00 Lightning Round  –Are your teams facing growing demands? Join CX leaders transforming their AI strategy with Agentforce. Start achieving your ambitious goals. Visit salesforce.com/agentforce Mission.org is a media studio producing content alongside world-class clients. Learn more at mission.org Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Discover how enterprises can successfully adopt and scale agentic AI to create real business impact in this conversation with Florian Douetteau, CEO and co-founder of Dataiku. Florian shares why democratizing AI across the enterprise is essential, how to prevent agent sprawl, and what it takes to build a governance framework that keeps your data secure while enabling innovation. Learn about Dataiku's enterprise AI blueprint, its partnership with NVIDIA, and how global companies are using agentic workflows to accelerate R&D, optimize operations, and stay competitive. If you're a business leader, CTO, or data professional looking to scale AI safely and effectively, this episode is your playbook for the future of enterprise AI. Stay Updated: Craig Smith on X: https://x.com/craigss Eye on A.I. on X: https://x.com/EyeOn_AI 00:00 Intro 00:31 Florian's Background & Dataiku's Founding   03:00 Enterprise Blueprint for AI with NVIDIA   05:13 Unique Needs of Financial Services   07:09 Building Agents on Dataiku   09:22 Permissioning & Governance   11:17 Agent Lifecycle Management   13:20 State of Agent-to-Agent Systems   15:02 Real-World Use Cases of Agents   16:28 The Most Complex Agents in Production   19:01 Future Vision: Headless Organizations   21:04 Human-Like Qualities of Agents   24:56 The LLM Mesh & Model Abstraction   28:55 Guardrails & Compliance   31:12 No-Code + Code-Friendly Collaboration   36:12 Breaking Silos & Centers of Excellence   41:36 Distribution & Seat Allocation   43:34 Most Common Agents by Industry   47:02 The State of Enterprise AI Adoption  

CIO Classified is back! More CIO secrets. More battle-tested IT wisdom. Straight from leading CIOs across a wide range of industries. In this episode, host Ian Faison and co-host Yousuf Khan dive into the deep end of technology leadership in manufacturing. Ben Davis, Executive Vice President of IT at Cambria, joins the show to talk about his sweeping digital transformation at the quartz manufacturing leader, and shares how his startup past helped him turn IT from a reactive function to a trusted business advisor. Plus much more:How Cambria is leveraging AI in demand forecastingHow to optimize supply chains and improve customer experience How to do it all while managing a legacy infrastructure and cybersecurityThis episode is a must-listen for the modern CIO looking to bridge the gap between traditional industries and modern technologies without sacrificing security or business continuity. About the Guest: Ben Davis, EVP  IT, Cambria, is a technical leader who is passionate about introducing new technology, improved processes and unexplored data sets to businesses in a manner that allows them to achieve scalable revenue growth. He does this by helping business-minded technologists use automation, prioritization and critical thinking to deliver technology, process improvement and data in a high-value, cost-effective way. Timestamps:02:30 – From startups to manufacturing: Applying entrepreneurial DNA07:00 – Communicating tech value across the organization09:30 – Why AI in manufacturing is a game-changer15:00 – Cybersecurity training, scorekeeping, and zero-trust realities17:30 – Modernizing legacy infrastructure in manufacturing23:00 – AI adoption vs. business architecture readiness26:00 – Staying close to the customer experience as CIO28:00 – Building, retaining, and empowering high-impact IT teams31:00 – Governance, shadow IT, and the rise of internal agents35:00 – AI tooling, data gaps, and minimizing technical debt38:00 – Manufacturing success, excitement, and the human side of techGuest Highlights:“ I think everybody under spends on cybersecurity. If I had an unlimited budget, I'd put the money towards that. I would also spend the money on data scientists, data modeling, data governance, mass data management to ensure that our data was ready to really take advantage of AI.”Get Connected:Ben Davis on LinkedInYousuf Kahn on LinkedInIan Faison on LinkedInHungry for more tech talk? Check out past episodes at ciopod.com: Ep 60 - Why the Smartest CIOs Are Becoming Business StrategistsEp 59 - CIO Leadership in AI Security and InnovationEp 58 - AI-Driven Workplace TransformationLearn more about Caspian Studios: caspianstudios.com Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

What does it take to transform a brilliant AI model from a research paper into a product customers can rely on? We're joined by Elizabeth Lingg, Director of Applied Research at Contextual AI (the team behind RAG), to explore the immense challenge of bridging the gap between the lab and the real world. Drawing on her impressive career at Microsoft, Apple, and in the startup scene, Elizabeth details her journey from academic researcher to an industry leader shipping production AI. Elizabeth shares her expert approach to measuring AI impact, emphasizing the need to correlate "inner loop" metrics like accuracy with "outer loop" metrics like customer satisfaction and the crucial "vibe check." Learn why specialized, grounded AI is essential for the enterprise and how using multiple, diverse metrics is the key to avoiding model bias and sycophancy. She provides a framework for how research and engineering teams can collaborate effectively to turn innovative ideas into robust products. Check out:Register now: Closing the AI gap: Exceeding executive expectations for AI productivityFollow the hosts:Follow BenFollow AndrewFollow today's guest(s):Learn more about Contextual AI: Contextual.ai WebsiteFollow Contextual AI on Social Media: LinkedIn | X (formerly Twitter)Connect with Elizabeth: LinkedInReferenced in today's show:Throwing AI at Developers Won't Fix Their ProblemsWhy language models hallucinatei ran Claude in a loop for three months, and it created a genz programming language called cursedSupport the show: Subscribe to our Substack Leave us a review Subscribe on YouTube Follow us on Twitter or LinkedIn Offers: Learn about Continuous Merge with gitStream Get your DORA Metrics free forever

To get to the benefits that AI offers, organizations have to address their technology infrastructure in ways that are much broader than historical approaches. Senior analyst Greg Macatee joins host Eric Hanselman to delve into what's required and what enterprises are identifying in the recent Voice of the Enterprise AI and Machine Learning study. Enterprises are struggling with raising the success levels of AI projects. Over 60% report moderate to severe challenges in achieving AI success. Bringing together the computational power and the right quality data in the right locations can be complicated in the hybrid environments that more are operating. It's not just a matter of being more selective with use cases, AI requires a set of organizational skills that have to be honed. Starting small and iterating can reduce risk while building competency.  Infrastructure has to shift in new ways, as well. Data management processes that can build the necessary data pipelines to feed AI applications bring together a broader set of tech disciplines. There are new wrinkles in AI infrastructure ecosystems, with new providers looking to address supply chain constraints, like the Neocloud or GPU as a Service  (GPUaaS) providers. Even hyperscalers are looking to them to meet surging demand in a tight market. Those new options offer new choices, but enterprises need to match them with their AI goals. More S&P Global Content: Navigating the AI infrastructure landscape The path from LLMs to agentic AI Next in Tech | Ep. 225: Security for MCP For S&P Global Subscribers: AI infrastructure strategies evolve amid widespread data challenges – Highlights from VotE: AI & Machine Learning Generative AI Market Monitor & Forecast AI infrastructure: Trends, thoughts and a 2025 research agenda Credits: Host/Author: Eric Hanselman Guest: Greg Macatee Producer/Editor: Adam Kovalsky Published With Assistance From: Sophie Carr, Feranmi Adeoshun, Kyra Smith

Jay Alammar is Director and Engineering Fellow at Cohere and co-author of the O'Reilly book “Hands-on Large Language Models.” Subscribe to the Gradient Flow Newsletter

Lindsey S. Mignano is the founder of SSM Legal, an entrepreneurial Silicon Valley corporate lawyer representing emerging technology companies and industry-adjacent firms and small businesses. Her practice spans technology company business formation and expansion into US markets, M&A (flips, entity or asset sales), commercial and technology transactions, and venture financing. Lindsey has been recognized as a “Rising Star” by Super Lawyers every year from 2016-2024, an honor awarded to only 2.5% of attorneys under the age of 40. In 2025, she was awarded the Super Lawyers distinction for the first time at the age of 40, an honor awarded to only 5% of attorneys. Separate from her law practice, Lindsey speaks often about diversity issues in the fields of law, tech, and venture. In 2023, Lindsey founded Venture Betches, a venture fund of funds, and Syndicate Betches, a real estate syndicate fund of funds, both with a social justice mission to bring investment opportunities to historically underrepresented accredited limited partners who identify as female and/or BIPOC/minorities.

In this episode, Anant Bhardwaj, CEO of Instabase, provides a pragmatic guide for AI practitioners building enterprise solutions. Subscribe to the Gradient Flow Newsletter