Podcasts about enterprise ai

Is generative AI just another tool in the belt, or is it a fundamental transformation of the developer profession? We kick off a two-part special to get to the bottom of how AI is impacting the enterprise. SADA's Associate CTO of AI & ML, Simon Margolis, sits down with Ameer Abbas, Senior Product Manager at Google Cloud, for an insider's look at the future of software development. They cut through the noise to discuss how tools like Gemini Code Assist are moving beyond simple code completion to augment the entire software delivery lifecycle, solving real-world challenges and changing the way we think about productivity, quality, and automation. In this episode, you'll learn: What Gemini Code Assist is and the broad range of developer personas it serves. The critical debate: Is AI augmenting developer skills or automating their jobs? How to leverage AI for practical enterprise challenges like application modernization, improving test coverage, and tackling technical debt. Why the focus is shifting from developer productivity to overall software delivery performance. Ameer's perspective on the future of development careers and why students should lean into AI, not fear it. The limitations of "vibe coding" and the need for intentional, high-quality AI prompting in a corporate environment.   Join us for more content by liking, sharing, and subscribing!

AGNTCY - Unlock agents at scale with an open Internet of Agents. Visit https://agntcy.org/ and add your support.   In this episode of Eye on AI, Craig Smith sits down with Jason Hardy, Chief Technology Officer for AI at Hitachi Vantara, to explore what it really takes to deploy AI at scale in the enterprise, beyond the hype.   Jason shares how Hitachi is building a pragmatic, outcomes-driven AI platform through Hitachi iQ. From working with NVIDIA to integrating agentic AI into operations, this conversation unpacks the infrastructure, mindset, and strategies needed to move AI projects from experimentation to production.   Whether you're navigating AI adoption, battling with data readiness, or looking to build your own LLM-powered applications, this episode offers invaluable insights from a company that's actually doing it globally, sustainably, and at scale.   Stay Updated: Craig Smith on X: https://x.com/craigss Eye on A.I. on X: https://x.com/EyeOn_AI     (00:00) Preview (02:10) The Role of CTO for AI at Hitachi Vantara (05:38) Applying AI Across Manufacturing, Energy & Transport (09:54) What Is Pragmatic AI? (13:21) Infrastructure Demands of Generative AI (14:47) Why Most AI Projects Fail (20:25) Inside the Hitachi iQ Platform & NVIDIA Partnership (25:42) Building a Model-Agnostic, Hybrid AI Stack (32:08) Beyond Selling GPUs: Delivering Real AI Outcomes (38:09) Supporting Hybrid Deployments Across Cloud and On-Prem (42:02) Rethinking ROI: Failure as a Strategic Advantage (47:44) Agentic AI and the Future of Autonomous IT Workflows (49:37) Five Core Domains of Agentic AI at Hitachi (53:02) Making AI Infrastructure Sustainable (56:48) Hitachi's Vision for the Future of Enterprise AI

AI is changing how companies build and scale. But most pitch decks haven't caught up.Karthik Chakkarapani, CIO of Zuora, has heard plenty of startup pitches but only a few stand out. He shares why most pitches fall flat, how to fix them, and how to present both the founder and the company in a way that drives real interest.We unpack what should go into your 30-second elevator pitch, why “Time to Value” needs its own slide, and how to bring up AI without sounding like everyone else.SaaS is changing fast and it's no longer just about features, but about speed, clarity, and proof of value. We explore how the next wave of SaaS companies can truly differentiate themselves.Building a startup is different in a post-UI world, where users don't click through screens but simply prompt systems to act. We discuss what it takes to build in a world of API-driven AI agents, along with real lessons on what most founders get wrong about working with large companies.If you're building SaaS in 2025, this conversation is for you.0:00 – Trailer1:05 – How the CIO Role Has Changed3:21 – How Zuora Enables the Subscription Economy5:45 – Is SaaS Becoming Headless?7:55 – Are We Entering a Post-UI World?10:37 – What's the New Competitive Advantage?12:31 – Will Entry-Level Jobs Be Replaced by Tools?14:05 – What Metrics Will Matter in an Agentic AI World?15:55 – How to Measure AI Adoption in Your Company18:38 – What's the Hype-to-Reality Ratio for AI?20:19 – What Is the Biggest ROI AI Has Delivered?23:53 – How Startups Can Get Deployed in Enterprises27:10 – How Founders Should Use AI in Their Pitch28:45 – Bolt-On AI vs. Built-In AI32:26 – Most Common Myth About CIOs35:03 – Why You Need a Prompt Library36:04 – What to Avoid in Your Pitch Deck37:21 – How Atomic Work Came Onboard42:47 – The Underrated Soft Skills Founders Need47:55 – 3 Examples of Killer 30-Second Elevator Pitches51:59 – The “Time-to-Value” Slide Explained53:46 – What Founders Get Wrong About Enterprises54:58 – Top SaaS Misconceptions About Enterprise57:00 – Where Enterprises Adopt AI the Fastest59:45 – How the Next SaaS Companies Will Differentiate1:00:33 – Bay Area vs. Bangalore vs. Chennai1:03:33 – Rapid Fire Round-------------​​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

In this episode of Mint Techcetra, brought to you by HT Smartcast, host Karthik explores how enterprises in India are scaling smart and staying secure in the age of AI. Joining him is Mr. Venkat Sitaram, Senior Director and Country Head for the Infrastructure Solutions Group at Dell Technologies India. Together, they discuss Dell's collaboration with NVIDIA on the Dell AI Factory initiative, the performance advantages of PowerEdge R770 servers, and the growing importance of cyber resilience. Discover how Dell's end-to-end infrastructure solutions are helping Indian businesses modernise IT, embrace edge computing, and ensure data security in a rapidly evolving threat landscape. Subscribe for more insights on technology and business transformation. Learn more about your ad choices. Visit megaphone.fm/adchoices

"You can try to develop self-awareness and take a beginner's mind in all things. This includes being open to feedback and truly listening, even when it might be hard to receive. I think that's been something I've really tried to practice. The other area is recognizing that just like a company or country, as humans we have many stakeholders. You may wear many hats in different ways. So as we think of the totality of your life over time, what's your portfolio of passions? How do you choose—as individuals, as society, as organizations, as humans and families with our loved ones and friends—to not just spend your time and resources, but really invest your time, resources, and spirit into areas, people, and contexts that bring you meaning and where you can build a legacy? So it's not so much advice, but more like a north star." - Sabastian V. Niles Fresh out of the studio, Sabastian Niles, President and Chief Legal Officer at Salesforce Global, joins us to explore how trust and responsibility shape the future of enterprise AI. He shares his journey from being a high-tech corporate lawyer and trusted advisor to leading AI governance at a company whose number one value is trust, reflecting on the evolution from automation to agentic AI that can reason, plan, and execute tasks alongside humans. Sabastian explains how Agentforce 3.0 enables agent-to-agent interactions and human-AI collaboration through command centers and robust guardrails. He highlights how organizations are leveraging trusted AI for personalized customer experiences, while Salesforce's Office of Ethical and Humane Use operationalizes trust through transparency, explainability, and auditability. Addressing the black box problem in AI, he emphasizes that guardrails provide confidence to move faster rather than creating barriers. Closing the conversation, Sabastian shares his vision on what great looks like for trusted agentic AI at scale. Episode Highlights [00:00] Quote of the Day by Sabastian Niles: "Portfolio of passions - invest your spirit into areas that bring meaning" [01:02] Introduction: Sabastian Niles, President and Chief Legal Officer of Salesforce Global [02:29] Sabastian's Career Journey [04:50] From Trusted Advisor to SalesForce whose number one value is trust [08:09] Salesforce's 5 core values: Trust, Customer Success, Innovation, Equality, Sustainability [10:25] Defining Agentic AI: humans with AI agents driving stakeholder success together [13:13] Trust paradigm shift: trusted approaches become an accelerant, not obstacle [17:33] Agent interactions: not just human-to-agent, but agent-to-agent-to-agent handoffs [23:35] Enterprise AI requires transparency, explainability, and auditability [28:00] Trust philosophy: "begins long before prompt, continues after output" [34:06] Office of Ethical and Humane Use operationalizes trust values [40:00] Future vision: AI helps us spend time on uniquely human work [45:17] Governance philosophy: Guardrails provide confidence to move faster [48:24] What does great look like for Salesorce for Trust & Responsibility in the Era of AI? [50:16] Closing Profile: Sabastian V. Niles, President & Chief Legal Officer, LinkedIn: https://www.linkedin.com/in/sabastian-v-niles-b0175b2/ 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 YouTube: https://www.youtube.com/@AnalyseAsia Analyse Asia LinkedIn: https://www.linkedin.com/company/analyse-asia/

Send us a textReady to navigate the complex world of AI governance without getting lost in legal jargon? This episode delivers a masterclass in building ethical AI frameworks that actually work for your business. Global tech lawyer and fractional general counsel Gayle Gorvett breaks down the essential guardrails every company needs before diving headfirst into AI implementation. From her work with Duke University's AI working groups to real-world enterprise applications, Gayle reveals why treating AI like the "shiny new toy" without proper governance is a recipe for disaster. Whether you're protecting customer data or safeguarding your company's future, this customer success playbook episode provides the foundational knowledge to approach AI adoption with confidence and compliance.Detailed AnalysisThe AI revolution isn't just changing how we work—it's fundamentally reshaping the legal and ethical landscape of business operations. Gayle Gorvett's expertise in AI governance comes at a crucial time when companies are rushing to implement AI solutions without adequate safeguards. Her comparison of current AI hype to the blockchain frenzy of a decade ago serves as a sobering reminder that sustainable innovation requires thoughtful planning, not just technological enthusiasm.The multidisciplinary approach Gayle advocates represents a significant shift in how businesses should structure their AI initiatives. Gone are the days when technology decisions could be made in isolation. Modern AI governance demands collaboration between business functions, technical teams, and legal counsel—creating a new paradigm for cross-functional leadership in customer success organizations.For customer success professionals, the implications extend far beyond internal operations. When AI systems interact with customer data, handle support tickets, or predict customer behavior, the governance framework becomes a direct reflection of your company's commitment to customer trust. Gayle's emphasis on informing customers about AI usage highlights how transparency has evolved from a nice-to-have to a business imperative.The Duke AI Risk Framework and NIST guidelines she references provide actionable starting points for organizations feeling overwhelmed by the governance challenge. These resources democratize access to enterprise-level AI governance, making sophisticated risk assessment accessible to companies of all sizes. This democratization aligns perfectly with the customer success playbook philosophy of scalable, repeatable processes that drive consistent outcomes.Perhaps most importantly, Gayle's 26-year perspective in technology law offers historical context that many AI discussions lack. Her experience through previous technology waves—from the early internet boom to blockchain—provides valuable pattern recognition for identifying sustainable AI strategies versus fleeting trends. This wisdom becomes particularly relevant for customer success leaders who must balance innovation with the reliability their customers depend on.Now you can interact with us directly by leaving a voice message at htKevin's offeringPlease Like, Comment, Share and Subscribe. You can also find the CS Playbook Podcast:YouTube - @CustomerSuccessPlaybookPodcastTwitter - @CS_PlaybookYou can find Kevin at:Metzgerbusiness.com - Kevin's person web siteKevin Metzger on Linked In.You can find Roman at:Roman Trebon on Linked In.

In deze aflevering van Techzine Talks bespreken hosts Coen van Eenbergen en Sander Almekinders het AI-lab dat Cognizant in samenwerking met Google Cloud heeft ontwikkeld in Amsterdam. Bart Moens (Solutions Specialist Data & AI bij Cognizant) en Hendrik Jan Hunink (Head of Channel Sales bij Google Cloud Benelux) vertellen over deze innovatieve faciliteit waar bedrijven kunnen experimenteren met AI in een veilige omgeving.Ontdek hoe het AI-lab van Cognizant en Google Cloud bedrijven helpt met hun AI-transformatie. In deze aflevering van Techzine Talks hoor je hoe organisaties in slechts twee dagen een werkend AI-prototype kunnen ontwikkelen. Al meer dan 250 professionals van zo'n 20 bedrijven hebben het lab bezocht om hun AI-mogelijkheden te verkennen en concrete oplossingen te creëren.Luister naar experts Bart Moens en Hendrik Jan Hunink over hoe het lab werkt, welke resultaten klanten behalen, en hoe je jouw organisatie kunt voorbereiden op een succesvolle AI-implementatie.Hoofdstukken:00:00 Introductie 01:17 Wat is het Cognizant AI-lab? 03:36 De waarde van het AI-lab voor bedrijven 05:54 Werken met echte klantdata 07:43 Datastructuur en -vereisten 10:24 AI-agents en automatisering 13:42 Schaalbaarheid van AI-oplossingen 15:37 Kennisbehoud met AI 18:59 Voor welke organisaties is het lab geschikt? 21:42 Van prototype naar productie 24:37 Technische aspecten en integratie 26:30 Data Transformer AwardsBelangrijkste punten:- Het AI-lab is opgericht door Cognizant in samenwerking met Google Cloud om bedrijven te helpen experimenteren met AI in een veilige omgeving.- In slechts twee dagen kunnen bedrijven een werkend prototype ontwikkelen dat ze kunnen meenemen en verder uitbouwen.- Meer dan 250 mensen van zo'n  20 bedrijven hebben het lab al bezocht voor inspiratie en concrete AI-implementaties.- Het lab werkt met echte klantdata (waar mogelijk) om realistische resultaten te leveren.- Organisaties kunnen starten met kleine use cases en deze later opschalen naar grotere bedrijfstoepassingen.- Populaire toepassingen zijn documentbeheer, kennisbehoud van vertrekkende medewerkers, en automatisering van processen.- Gereguleerde industrieën zoals farmacie en banken zijn vroege adopters van de AI-toepassingen.- De combinatie van Cognizant's industrie-expertise en Google's AI-technologie zorgt voor waardevolle oplossingen.- Na het lab kunnen bedrijven kiezen voor verdere ondersteuning bij implementatie en integratie met bestaande systemen.

Join host George Firican on the Lights On Data Show as he interviews John Kucera, Senior Vice President of Salesforce AI, to explore the transformative power of Agentforce. Learn how this technology is reshaping enterprise AI by automating digital labor, offering powerful new capabilities like observability and interoperability, and seamlessly integrating with the broader Salesforce ecosystem. Discover real-world success stories, best practices for implementation, and essential insights for tech and business leaders looking to leverage AI effectively.

Three failed startups. One of India's biggest B2B exits. Then returning 75% of investor money in the next venture. An entrepreneur who's lived that arc is bound to have insights for anyone building or thinking of building.Paras Chopra, founder of Wingify (sold for $200 million), Nintee, and now Lossfunk, joins us this week.We discuss the small decisions that quietly define your startup: what product to build, how to structure your team, and why setting the right communication culture early can help.Paras shares what most founders overlook early on : Pricing isn't about effort you put but about the value you create, why having competitors might actually be better than having none, and how financial metrics often distract from what really matters to customers.Paras talks about what changed between each attempt of building his startups, and why some lessons only reveal themselves the hard way and what shifts after you've seen both failure and success. Whether you're launching your first company or planning your next, this conversation will give you the clarity needed to tilt the odds in your favor.Check out The Book of Clarity by Paras Chopra.00:00 – Startups Should Be Like Cults02:25 – Building a Founder's Value System03:25 – Bet on What Won't Change in 10 Years05:15 – What AI Can't Do Well (Yet)10:00 – Do Humans Even Want Accuracy?10:57 – What Founders Should Not Build or Sell13:35 – Are many competitors better than none?19:47 – Why Repeating Success Is Hard21:20 – Customer Value Metrics > Financial Metrics23:35 – Why Paras's Startup after Wingify Didn't Work27:00 – What Is Micro Communication?30:41 – Writing Culture in a Startup32:50 – Obsess Over Organisational Design37:15 – Is Luck in Our Hands?41:24 – Why Bias Is Risky for Entrepreneurs42:35 – Great Startups Look Like Toys at First44:00 – Why Deep Tech Startups Struggle to Succeed46:09 – Paras's New Venture Lossfunk49:23 – Why Uncertainty Is a Startup Moat55:56 – What Most Founders Get Wrong About Pricing57:36 – Should Price be on Effort or Value?59:23 – Wingify Innovated on Just One Metric1:00:25 – What Is Failure for Paras?1:04:08 – Diversify Your Self-Worth Like a Portfolio1:05:21 – The Startup Game Is a Mental Game1:06:43 – Did Wingify Create Wealth or Just Money?---​​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

Send us a textThe final episode of this transformative series tackles the ultimate challenge: scaling AI experiences without sacrificing empathy. Jake McKee reveals why most companies approach AI transformation backwards—focusing on tools instead of relationships, replacement instead of enhancement. This customer success playbook episode demonstrates how successful AI transformation mirrors the digital transformation of the past decade, requiring fundamental changes to business processes, not just technology adoption. McKee's framework for maintaining authentic human connections while scaling AI across enterprise environments provides practical guardrails for companies navigating the complex balance between efficiency and empathy. From addressing AI hallucinations transparently to designing trust through micro-moments, this conversation offers a roadmap for AI implementations that enhance rather than diminish human relationships.Detailed AnalysisMcKee's perspective on AI transformation represents a sophisticated understanding of organizational change management applied to emerging technology. His comparison to digital transformation provides crucial context—just as companies had to fundamentally rethink business processes when moving from analog to digital, AI transformation requires reimagining workflows, decision-making processes, and human-machine collaboration models.The conversation reveals critical insights about trust-building in AI systems, emphasizing that trust develops through consistent micro-moments rather than singular grand gestures. This mirrors human relationship dynamics and provides a practical framework for designing AI experiences that build confidence over time. McKee's examples of internal process failures—particularly the 13-screen system requiring hours of work before allowing saves—illustrate how poor experience design destroys trust regardless of underlying functionality.Perhaps most valuable is McKee's nuanced approach to AI transparency and hallucination management. Rather than attempting to eliminate AI limitations, he advocates for honest communication about system capabilities and uncertainties. This customer success playbook approach recognizes that users can develop healthy relationships with imperfect AI systems when expectations are properly set and limitations are communicated clearly.The discussion also addresses the critical challenge of scaling empathetic AI across large organizations. McKee's emphasis on relationship design over feature development provides a sustainable framework for maintaining human-centric experiences even as AI implementations grow in scope and complexity. His insights about contextual AI behavior—understanding when users need speed versus thoughtful interaction—offer practical guidance for enterprise AI strategy.Now you can interact with us directly by leaving a voice message at https://www.speakpipe.com/CustomerSuccessPlaybookKevin's offeringPlease Like, Comment, Share and Subscribe. You can also find the CS Playbook Podcast:YouTube - @CustomerSuccessPlaybookPodcastTwitter - @CS_PlaybookYou can find Kevin at:Metzgerbusiness.com - Kevin's person web siteKevin Metzger on Linked In.You can find Roman at:Roman Trebon on Linked In.

In this episode of The New Stack Agents, Andrew Lee, co-founder of Shortwave and Firebase, discusses the evolution of his Gmail-centric email client into an AI-first platform. Initially launched in 2020 with traditional improvements like better threading and search, Shortwave pivoted to agentic AI after the rise of large language models (LLMs). Early features like summarization and translation garnered hype but lacked deep utility. However, as models improved in 2023—especially Anthropic's Claude Sonnet 3.5—Shortwave leaned heavily into tool-calling agents that could execute complex, multi-step tasks autonomously. Lee notes Anthropic's lead in this area, especially in chaining tools intelligently, unlike earlier models from OpenAI. Still, challenges remain with managing large numbers of tools without breaking model reasoning. Looking ahead, Lee envisions AI that can take proactive actions—like responding to emails—and dynamically generate interfaces tailored to tasks in real-time. This shift could fundamentally reshape how productivity apps work, with Shortwave aiming to be at the forefront of that transformation.Learn more from The New Stack about the latest insights of the power AI at scale:Why Streaming Is the Power Grid for AI-Native Data PlatformsCompanies Must Embrace BeSpoke AI Designed for IT WorkflowsJoin our community of newsletter subscribers to stay on top of the news and at the top of your game.

SaaStr 809: Why Enterprise AI Adoption Is Moving 5-10X Faster Than Cloud with Box's CEO and Co-Founder, IBM's VP for AI and SaaStr's CEO and Founder This conversation between Aaron Levie, CEO & Co-Founder of Box, Raj Datta, Global Vice President for Software and A.I. Partnerships at IBM and Jason Lemkin, CEO and Founder of SaaStr, covers the evolution from chat interfaces to digital labor models, the integration of AI to automate complex tasks, and the emergence of new paradigms for businesses deploying AI agents. Key topics include the distinction between AI agents and assistants, the development of proprietary data models, and the rapid pace of AI adoption. With real-world examples from companies like IBM and Box, this session offers insights into how AI is reshaping software ecosystems, enhancing enterprise capabilities, and potentially redefining market moats. ------------------ This episode of the SaaStr podcast is sponsored by: Attention.com   Tired of listening to hours of sales calls? Recording is yesterday's game. Attention.com unleashes an army of AI sales agents that auto-update your CRM, build custom sales decks, spot cross-sell signals, and score calls before your coffee's cold. Teams like BambooHR and Scale AI already automate their Sales and RevOps using customer conversations. Step into the future at attention.com/saastr   ------------------   Hey everyone, we just hosted 10,000 of you at the SaaStr Annual in the SF Bay Area, and now get ready, because SaaStr AI is heading to London! On December 2nd and 3rd, we're bringing SaaStr AI to the heart of Europe. This is your chance to connect with 2,500+ SaaS and AI executives, founders, and investors, all sharing the secrets to scaling in the age of AI.   Whether you're a founder, a revenue leader, or an investor, SaaStr AI in London is where the future of SaaS meets the power of AI. And we just announced tickets and sponsorships, so don't wait! Head to SaaStrLondon.com to grab yours and join us this December in London. SaaStr AI in London —where SaaS meets AI, and the next wave of innovation begins. See you there!

In this episode of Alter Everything, we chat with Alex Patrushev, Head of Product at Nebius. We discuss the gaps organizations face between data and business impact, strategies to bridge these gaps, and the role of AI in these processes. Alex explains Nebius' mission to make AI accessible, the challenges of building data centers and software from scratch, and innovative solutions like their data center in Finland. The conversation also covers key components for effectively bridging data and business impact, such as project selection, stakeholder communication, team skills, data quality, and tech stack.Panelists: Alexander Patrushev, Head of Product for AI/ML @ NebiusMegan Bowers, Sr. Content Manager @ Alteryx - @MeganBowers, LinkedInShow notes: NebiusData Version Control Interested in sharing your feedback with the Alter Everything team? Take our feedback survey here!This episode was produced by Megan Bowers, Mike Cusic, and Matt Rotundo. Special thanks to Andy Uttley for the theme music.

Enterprise AI agents are moving past experiments and into real use at a record pace. KPMG's latest survey of over 130 executives at billion-dollar companies shows full deployments of AI agents tripled from Q1 to Q2.Get Ad Free AI Daily Brief: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://patreon.com/AIDailyBrief⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Brought to you by:Gemini - Supercharge your creativity and productivity - ⁠⁠⁠⁠⁠⁠⁠⁠http://gemini.google/⁠⁠⁠⁠⁠⁠⁠KPMG – Go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://kpmg.com/ai⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to learn more about how KPMG can help you drive value with our AI solutions.Blitzy.com - Go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://blitzy.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to build enterprise software in days, not months AGNTCY - The AGNTCY is an open-source collective dedicated to building the Internet of Agents, enabling AI agents to communicate and collaborate seamlessly across frameworks. Join a community of engineers focused on high-quality multi-agent software and support the initiative at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠agntcy.org ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ -  ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://agntcy.org/?utm_campaign=fy25q4_agntcy_amer_paid-media_agntcy-aidailybrief_podcast&utm_channel=podcast&utm_source=podcast⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Vanta - Simplify compliance - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://vanta.com/nlw⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Plumb - The automation platform for AI experts and consultants ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://useplumb.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠The Agent Readiness Audit from Superintelligent - Go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://besuper.ai/ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠to request your company's agent readiness score.The AI Daily Brief helps you understand the most important news and discussions in AI. Subscribe to the podcast version of The AI Daily Brief wherever you listen: https://pod.link/1680633614Subscribe to the newsletter: https://aidailybrief.beehiiv.com/Join our Discord: https://bit.ly/aibreakdownInterested in sponsoring the show? nlw@breakdown.network

50% of products and features built are never used.To build the right product, every founder must answer two questions:Are you solving a real problem? And are you solving it the right way?Technology has rarely been democratic, it's often elitist. So at times, it ends up solving made-up problems that don't really exist. Yet, some companies have built truly great products.What sets them apart? Do they share any similarities? Are there lessons for entrepreneurs?We have with us Krishna (Vasanth) Namasivayam who has previously worked on AI products at NVIDIA, Meta, and Dropbox.Vasanth is founder of Featurely.AI. Featurely is fixing how products get built. It does it by simulating users — not as bots, but as human-inspired digital twins.0:00 – Trailer02:10 – Why I chose NVIDIA in 2015?03:55 – Working on integrity at META04:23 – Rethinking AI for Dropbox04:51 – NVIDIA builds for the future05:45 – People loved working for Jensen08:16 – What makes META so special?10:57 – Decision-making at META was democratic11:41 – Dropbox was once the most VIRAL product12:55 – The power of founder-led companies14:28 – Tech is Elitist, Build for a Few16:43 – Silicon Valley trend of Solving Made-up problems19:27 – A magic wand that Finds the right problem22:17 – Synthetic users vs. perfect AI agents25:00 – Why synthetic users can fail (and why that matters)25:35 – What is the Future with AI agents & synthetic humans?26:30 – Why openAI can't/won't choose User research27:16 – The simplest explanation of LLMs28:36 – Why ChatGPT succeeded like no other31:04 – Bite-sized Info for 6-second attention span31:37 – The Next Frontier in AI: Predicting Human Behavior33:55 – Uses of Synthetic Humans from Product to Policy35:55 – The biggest surprise of building a startup37:00 – One Mistake Product folks make38:24 – One emotional truth about startups39:04 – What does Featurely do?42:51 – How Featurely will measure success46:36 – All future software will be hyper-personalized50:24 – 3 AI companies to admire (one not built yet)52:28 – How will Work be in 2025?53:59 – How AI gets things (almost) right every time57:02 – Why Featurely chose Neon Fund01:02:51 – What the Bay Area does differently01:04:54 – Learnings from Fundraising01:06:49 – The vision to Build a Category defining Company-------------​​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

74% of CEOs think their jobs are on the line because of AI. Not because AI might replace them, but because failing to implement it successfully could cost them everything.Merlin Bise, CTO of Inbenta and former Head of Technology at a firm acquired by the London Stock Exchange, joins us to share how Inbenta is helping enterprises modernise their customer experience. Merlin explains that so many AI deployments fail, not because the technology is lacking, but because companies often bet on the wrong frameworks, overlook data foundations, or underestimate the importance of testing. We explore how traditional rules-based systems give way to agentic frameworks that can reason, triage ambiguous queries, and even correct automation gaps in real time. Merlin walks us through the journey many enterprises take: beginning with deterministic rules, evolving to AI-powered agents, and ultimately orchestrating complex automation through agentic manager systems that oversee and improve themselves.Security and customer experience are front and centre in this episode. Merlin breaks down the cybersecurity concerns that make enterprises hesitate and why, in most cases, those fears are rooted more in perception than reality.Finally, we reflect on the broader trajectory of AI. While the race toward AGI dominates headlines, Merlin argues that the tools enterprises need to radically improve productivity are already here. The challenge is implementing what exists with purpose and precision.Shownotes:Check out Inbenta: https://www.inbenta.com/Subscribe to VUX World: https://vuxworld.typeform.com/to/Qlo5aaeWSubscribe to The AI Ultimatum Substack: https://open.substack.com/pub/kanesimmsGet in touch with Kane on LinkedIn: https://www.linkedin.com/in/kanesimms/ Hosted on Acast. See acast.com/privacy for more information.

In this episode, Greg Shove, CEO of Section and founder of Machine and Partners, joins us for a "where are they now" follow-up—and doesn't hold back. Greg walks through the rise of Pro AI, his new AI-powered coach, and why traditional upskilling is already obsolete.We explore the overlooked friction points in AI adoption, from cultural taboos (“it feels like cheating”) to failed enterprise rollouts. Greg challenges the prevailing mental models and warns that the real upheaval is still ahead: business model disruption, not product disruption.From royalty-based agents to outcome-based pricing, Greg lays out why service-heavy industries—from law firms to SaaS—are heading for a margin-crushing future. Plus: the moral responsibility of CEOs, the fallacy of lifelong learners, and why working with AI means holding onto your own judgment.A sharp, honest look at what it really means to work smarter—not just faster—in the age of AI.Key takeaways:AI use is no longer optional—it's the new baseline.Proficiency with AI tools isn't a competitive edge anymore—it's a basic requirement. Greg argues that “being in the AI class” is now table stakes, and organizations must rapidly close the gap between aspiration and actual adoption.Business model disruption will hit harder than tech disruption.Greg makes a compelling case that AI's biggest impact won't come from the tools themselves, but from entirely new ways of charging for value—like outcome-based pricing and AI-native service models that undercut human capital costs.Leaders must shift from AI policies to AI manifestos.Adoption is stalling because organizations lead with fear. Instead, Greg urges leaders to clearly message that using AI is smart, encouraged, and expected—and to model that behavior themselves.Most people won't be lifelong learners—so give them outputs, not courses.With Pro AI, Greg confronts a hard truth: most users don't want to learn; they want results. AI-powered coaching that delivers outcomes—not just education—is the future of upskilling.Linkedin: Greg Shove | LinkedInWebsite: Greg Shove | AI Strategist & Keynote Speaker for Enterprise LeadersSection: Section | AI workforce transformation for real ROIMachine & Partners: AI Consulting Services | Machine and Partners00:00 Embracing AI: Changing Work Culture00:29 Introduction: Meet Greg Shove01:10 AI in Daily Work: Tools and Changes03:59 Business Model Disruption: The Next Big Shift12:45 Training and Adoption Challenges19:14 The Future of Work: AI's Impact on Jobs32:02 Leadership and AI: Strategies for Success35:20 Embracing AI in the Workplace36:51 Workflow Redesign with AI39:39 The Role of AI Agents40:12 Challenges in AI Adoption45:14 Pro AI: The AI-Powered Coach51:03 Disrupting Business Models with AI57:52 Cognitive Offloading and AI01:03:02 Final Thoughts and Reflections

AGNTCY - Unlock agents at scale with an open Internet of Agents. Visit https://agntcy.org/ and add your support.     What's stopping large language models from being truly enterprise-ready?   In this episode, Vectara CEO and co-founder Amr Awadallah breaks down how his team is solving one of AI's biggest problems: hallucinations.   From his early work at Yahoo and Cloudera to building Vectara, Amr shares his mission to make AI accurate, secure, and explainable. He dives deep into why RAG (Retrieval-Augmented Generation) is essential, how Vectara detects hallucinations in real-time, and why trust and transparency are non-negotiable for AI in business.   Whether you're a developer, founder, or enterprise leader, this conversation sheds light on the future of safe, reliable, and production-ready AI.   Don't miss this if you want to understand how AI will really be used at scale.     Stay Updated: Craig Smith on X: https://x.com/craigss Eye on A.I. on X: https://x.com/EyeOn_AI

Geopolitics is now measured in Nanometers. Anything with a battery or a plug has a semiconductor inside. But these chips aren't just tech anymore, they're shaping who becomes the next Superpower.In the 1980s, India was just two years behind the world in semiconductors. Today, we're 12 generations behind. What went wrong?India's top semiconductor expert, Raja Manickam, returns to The Neon Show to break it all down.We discuss how the U.S. lost the chip race it started, China's strategic rise, and how one visionary turned Taiwan into the most valuable island in the world.Raja Manickam dives into what the $10B India Semiconductor Mission is getting right and where we may fall behind. He explains why

Enterprise AI is evolving quickly. Budgets are rising, agents are becoming essential, and companies demand state-of-the-art AI as soon as possible. Here are 16 insights from Andreessen Horowitz's latest analysis on how AI transforms the enterprise.Source: https://a16z.com/ai-enterprise-2025/Get Ad Free AI Daily Brief: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://patreon.com/AIDailyBrief⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Brought to you by:KPMG – Go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://kpmg.com/ai⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to learn more about how KPMG can help you drive value with our AI solutions.Blitzy.com - Go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://blitzy.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to build enterprise software in days, not months AGNTCY - The AGNTCY is an open-source collective dedicated to building the Internet of Agents, enabling AI agents to communicate and collaborate seamlessly across frameworks. Join a community of engineers focused on high-quality multi-agent software and support the initiative at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠agntcy.org ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ -  ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://agntcy.org/?utm_campaign=fy25q4_agntcy_amer_paid-media_agntcy-aidailybrief_podcast&utm_channel=podcast&utm_source=podcast⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Vanta - Simplify compliance - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://vanta.com/nlw⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Plumb - The automation platform for AI experts and consultants ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://useplumb.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠The Agent Readiness Audit from Superintelligent - Go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://besuper.ai/ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠to request your company's agent readiness score.The AI Daily Brief helps you understand the most important news and discussions in AI. Subscribe to the podcast version of The AI Daily Brief wherever you listen: https://pod.link/1680633614Subscribe to the newsletter: https://aidailybrief.beehiiv.com/Join our Discord: https://bit.ly/aibreakdownInterested in sponsoring the show? nlw@breakdown.network

"At IBM, we really work on two emerging technologies: hybrid cloud and AI for enterprise. These two are deeply connected. Hybrid cloud for us means that regardless of where the data sits whether the compute is on-premise, off-premise, or across multiple clouds. We believe the client should have the control and flexibility to choose where to run and place their data. If you look at the facts, a very high percentage of client data is still on-premise. It hasn't moved to the cloud for obvious reasons. So, how can you scale AI if you don't have proper access to that data? AI is all about the data. That's why we believe in a strategy that redefines and rethinks everything. We call it the Great Technology Reset." - Hans Dekkers Fresh out of the studio, Hans Dekkers, General Manager of IBM Asia Pacific, joins us to explore how enterprise AI is reshaping business across the region. He shares his journey with IBM after business school, reflecting on the evolution of personal computers to AI today. Hans explains IBM's unique approach combining hybrid cloud infrastructure with AI for Enterprise, emphasizing how their granite models and data fabric enable businesses and governments to maintain control over their data while scaling AI capabilities. He highlights customer stories from Indonesian telecoms company to internal IBM transformations, showcasing how companies are re-engineering everything from HR to supply chains using domain-specific AI models. Addressing the challenges of AI implementation, he emphasizes the importance of foundational infrastructure and governance, while advocating for smaller, cost-effective models over GPU-heavy approaches. Closing the conversation, Hans shares his vision for IBM's growing presence in Asia as the key to enterprise AI success. Episode Highlights: [00:00] Quote of the Day by Hans Dekkers [01:00] Introduction: Hans Dekkers from IBM [05:00] Key career lesson from Hans Dekker [06:51] IBM focuses on two emerging technologies: hybrid cloud and AI for Enterprise, deeply connected [09:27] "Your data needs to remain your data" - IBM's fundamental AI principle for enterprise clients [10:00] IBM's approach: Small, nimble, cost-effective AI models that can be owned and governed by clients [13:59] "The cost of AI is still too high. It's about a hundred times too high" - IBM CEO's perspective on AI costs [14:44] Small domain-specific models example: Banking AI trained for financial analysis, not Russian poetry [18:00] IBM's internal transformation: HR, supply chain, and consulting completely re-engineered with AI [21:18] Major partnership announcement: Indonesian telecom embracing IBM's watsonx platform [22:23] AI agents demo: Multiple agents (HR, finance, legal) debating and constructing narratives [25:00] "Everyone talks about AI equals GPU" - Hans wishes clients understood that inferencing is more important [27:00] IBM's Asia Pacific vision: Reestablishing growing presence and differentiated technology approach [28:00] Closing Profile: Hans Dekkers, General Manager IBM Asia Pacific and China: https://www.linkedin.com/in/hans-a-t-dekkers/ 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 YouTube: https://www.youtube.com/@AnalyseAsia Analyse Asia LinkedIn: https://www.linkedin.com/company/analyse-asia/ Analyse Asia X (formerly known as Twitter): https://twitter.com/analyseasia Analyse Asia Threads: https://www.threads.net/@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

There are No Checklists or Frameworks on HOW TO BE A VC?So how do you even know if it's the right path for you?Unlike most jobs, venture capital comes with an extremely long feedback loop. It can take years before you know whether the bets you made actually worked out. That's why most seasoned VCs say: only choose this path if you're in it for the long haul.This conversation will help you think through that choice. Whether you're considering VC as a career, love building businesses, or just want to understand who really calls the shots on a cap table.On The Neon Show, we have with us two operators turned investors:Gaurav Ranjan, Principal at Prime Venture Partners, has led deals including Dozee, Hitwikcet, Poshn and Gallabox.Naman Lahoty, Partner at Stellaris Venture Partners has been part of investments like Zouk, Nestasia, Dashtoon and Lumio.They share lessons from evaluating thousands of startups - what they've unlearned about pattern-matching in investing, why Excel projections mostly fail and why founder empathy might be the most underrated edge in venture capital.It's truly a conversation between three VCs on what it really takes to be a VC today.0:00 – Stellaris Partners X Prime Ventures0:43 – How Founders Turn Into VCs4:19 – Do VCs Need an MBA or Consulting Background?6:32 – Why Startup Projections Rarely Come True8:43 – Are VCs Naturally Good Founders?11:19 – Startups we Evaluated & Founders we Met14:51 – From First Pitch to Deal Close19:02 – Why VC Feedback Loops Are Extremely Long21:00 – No Checklists. No Frameworks.25:27 – Why On-Demand Rebranded as Quick Commerce Won?29:20 – The Stellaris Framework to Evaluate Founders35:53 – Why Indian VCs Must Think Independently38:28 – Rapid Fire: The Big One We Missed39:16 – The One We Loved But Didn't Back42:23 – Startups We Wish We'd Invested In43:55 – Investors We Admire the Most47:20 – Do We Believe Peter Thiel's Theory?52:35 – Startup Stories: Slack, Flickr, Dozee, Rupicard57:15 – The GTM Hack That Led to Product Discovery58:15 – Babygogo & Atomic Work59:55 – All-Nighter Code Sprint for the Demo1:00:55 – Lessons Founders Taught Us1:06:30 – What We Miss About Being a Founder1:10:28 – When Do You Decide If You Are a Good VC?1:13:28 – Building a Fund V/S Building a Startup-------------​​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

Mark Ericksen, creator of the Elixir LangChain framework, joins the Elixir Wizards to talk about LLM integration in Elixir apps. He explains how LangChain abstracts away the quirks of different AI providers (OpenAI, Anthropic's Claude, Google's Gemini) so you can work with any LLM in one more consistent API. We dig into core features like conversation chaining, tool execution, automatic retries, and production-grade fallback strategies. Mark shares his experiences maintaining LangChain in a fast-moving AI world: how it shields developers from API drift, manages token budgets, and handles rate limits and outages. He also reveals testing tactics for non-deterministic AI outputs, configuration tips for custom authentication, and the highlights of the new v0.4 release, including “content parts” support for thinking-style models. Key topics discussed in this episode: • Abstracting LLM APIs behind a unified Elixir interface • Building and managing conversation chains across multiple models • Exposing application functionality to LLMs through tool integrations • Automatic retries and fallback chains for production resilience • Supporting a variety of LLM providers • Tracking and optimizing token usage for cost control • Configuring API keys, authentication, and provider-specific settings • Handling rate limits and service outages with degradation • Processing multimodal inputs (text, images) in Langchain workflows • Extracting structured data from unstructured LLM responses • Leveraging “content parts” in v0.4 for advanced thinking-model support • Debugging LLM interactions using verbose logging and telemetry • Kickstarting experiments in LiveBook notebooks and demos • Comparing Elixir LangChain to the original Python implementation • Crafting human-in-the-loop workflows for interactive AI features • Integrating Langchain with the Ash framework for chat-driven interfaces • Contributing to open-source LLM adapters and staying ahead of API changes • Building fallback chains (e.g., OpenAI → Azure) for seamless continuity • Embedding business logic decisions directly into AI-powered tools • Summarization techniques for token efficiency in ongoing conversations • Batch processing tactics to leverage lower-cost API rate tiers • Real-world lessons on maintaining uptime amid LLM service disruptions Links mentioned: https://rubyonrails.org/ https://fly.io/ https://zionnationalpark.com/ https://podcast.thinkingelixir.com/ https://github.com/brainlid/langchain https://openai.com/ https://claude.ai/ https://gemini.google.com/ https://www.anthropic.com/ Vertex AI Studio https://cloud.google.com/generative-ai-studio https://www.perplexity.ai/ https://azure.microsoft.com/ https://hexdocs.pm/ecto/Ecto.html https://oban.pro/ Chris McCord's ElixirConf EU 2025 Talk https://www.youtube.com/watch?v=ojL_VHc4gLk Getting started: https://hexdocs.pm/langchain/gettingstarted.html https://ash-hq.org/ https://hex.pm/packages/langchain https://hexdocs.pm/igniter/readme.html https://www.youtube.com/watch?v=WM9iQlQSFg @brainlid on Twitter and BlueSky Special Guest: Mark Ericksen.

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.   Try OCI for free at http://oracle.com/eyeonai   What if you could fine-tune an AI model without any labeled data—and still outperform traditional training methods?   In this episode of Eye on AI, we sit down with Jonathan Frankle, Chief Scientist at Databricks and co-founder of MosaicML, to explore TAO (Test-time Adaptive Optimization)—Databricks' breakthrough tuning method that's transforming how enterprises build and scale large language models (LLMs).   Jonathan explains how TAO uses reinforcement learning and synthetic data to train models without the need for expensive, time-consuming annotation. We dive into how TAO compares to supervised fine-tuning, why Databricks built their own reward model (DBRM), and how this system allows for continual improvement, lower inference costs, and faster enterprise AI deployment.   Whether you're an AI researcher, enterprise leader, or someone curious about the future of model customization, this episode will change how you think about training and deploying AI.   Explore the latest breakthroughs in data and AI from Databricks: https://www.databricks.com/events/dataaisummit-2025-announcements Stay Updated: Craig Smith on X: https://x.com/craigss Eye on A.I. on X: https://x.com/EyeOn_AI  

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361Firm Meetup and Briefing "U.S. Deficit Concerns & Russia's Wartime Economy" June 10, 2025Transcript: https://361.pub/transcriptjune102025Video: https://youtu.be/Hp7jX5tSCE8Podcasts: Apple https://lnkd.in/eRh8iztB and Spotify https://361.pub/spotifyThis 361Firm Meetup and Briefing on June 10, 2025, covered key economic and geopolitical issues. Stephen Burke discussed the US deficit, highlighting a proposal to boost productivity by 0.5% to raise GDP by 7% and reduce the deficit by 1.2% over a decade. Adam Blanco detailed Ukraine's strategic attacks on Russian airfields, noting the destruction of irreplaceable Soviet-era aircraft and the emergence of Ukraine's drone industry. The discussion also touched on the broader implications of these events, including potential shifts in global power dynamics and the need for strategic investment in defense and productivity. The meeting discussed the future of trade vocations, emphasizing their importance in education. Charles Beyrouthy highlighted the geopolitical implications of Russia and China's nuclear capabilities and the potential for coexistence. The conversation shifted to AI investment, noting a bubble and the need for infrastructure. Lucia Ordonez-Gamero and Anthony Gordon discussed AI's impact on jobs, with AI replacing entry-level roles. Khadija Mustafa predicted a potential AI market crash and emphasized the importance of small language models and machine learning. The discussion also touched on the ethical considerations of AI and the integration of AI with other technologies like quantum computing.SPEAKERS: Lucia Ordonez-Gamero, Keith McCall, Rob Ricciardelli, Lubna Dajani, Sameer Sirdeshpande, Jason Ma, Maher Nasri, Jack Wyant, Erica Lill, Depinder Grewal, Michael Hammer, Mark Sanor, Khadija Mustafa, Giovanni, Glenn, Chloe Sun, Tim Gallabrant, Karolina, Bruce, Kate Lawrence (Bloccelerate), Carl Pro, Anthony Gordon, Mark Mueller-Eberstein (ex-Microsoft, now investor), Adam Blanco, Bill Deuchler, Eyad Kishawi, Jeff Zawadsky, Stephen Burke, Charles Beyrouthy, Robin Blackstone, Detlef Schrempf, Rafiq Ahmed, and many others.SUMMARY KEYWORDS: US deficit, Russia war economy, Ukraine attacks, productivity improvements, immigration policy, military spending, AI advancements, global economy, national security, defense procurement, economic growth, social unrest, UBI, investment strategies, geopolitical issues., AI investment, trade vocations, supply chain, military operation, NATO expansion, economic warfare, AI bubble, job displacement, hard skills, soft skills, intellectual property, quantum computing, enterprise AI, global change, investment strategy. You can subscribe to various 361 events and content at https://361firm.com/subs. For reference: Web: www.361firm.com/homeOnboard as Investor: https://361.pub/shortdiagOnboard Deals 361: www.361firm.com/onbOnboard as Banker: www.361firm.com/bankersEvents: www.361firm.com/eventsContent: www.youtube.com/361firmWeekly Digests: www.361firm.com/digest

This week, I'm speaking with Kevin Weil, Chief Product Officer at OpenAI, who is steering product development at what might be the world's most important company right now.We talk about:(00:00) Episode trailer(01:37) OpenAI's latest launches(03:43) What it's like being CPO of OpenAI(04:34) How AI will reshape our lives(07:23) How young people use AI differently(09:29) Addressing fears about AI(11:47) Kevin's "Oh sh!t" moment(14:11) Why have so many models within ChatGPT?(18:19) The unpredictability of AI product progress(24:47) Understanding model “evals”(27:21) How important is prompt engineering?(29:18) Defining “AI agent”(37:00) Why OpenAI views coding as a prime target use-case(41:24) The "next model test” for any AI startup(46:06) Jony Ive's role at OpenAI(47:50) OpenAI's hardware vision(50:41) Quickfire questions(52:43) When will we get AGI?Kevin's links:LinkedIn: https://www.linkedin.com/in/kevinweil/Twitter/X: @kevinweilAzeem's links:Substack: https://www.exponentialview.co/Website: https://www.azeemazhar.com/LinkedIn: https://www.linkedin.com/in/azharTwitter/X: https://x.com/azeemOur new show:This was originally recorded for "Friday with Azeem Azhar", a new show that takes place every Friday at 9am PT and 12pm ET. You can tune in through Exponential View on Substack.Produced by supermix.io and EPIIPLUS1 Ltd.

Why do so many AI initiatives stall after the strategy phase? In this episode, we unpack a practical AI implementation plan that moves beyond theory to real execution. Discover how enterprise leaders structure, govern, and deliver AI at scale — with measurable impact. Learn how to align AI with business value, manage risk, and ensure accountability across the organisation. If you're serious about embedding AI into your business strategy, this is your blueprint. Tune in for more insights on AI leadership and digital transformation. 

Vertical SaaS customers don't buy software for 10 months, they buy it for 10 years. That's the opportunity and the challenge. Switching costs are high, which makes it hard to get in but once you're in, you're in.But regular SaaS playbooks don't work here. Forget PLG. Forget design partners. These industries have been burned too many times by bad software. Here, Trust defines GTM. Think warm introductions and on-site meetings, not cold emails and Zoom calls.But for founders building in vertical SaaS, there's little to learn from. So in this episode of The Neon Show, we bring together three founders who are building in the trenches of Vertical SaaS.Omkar Patil, Co-founder of Pienomial, helping biopharma companies run faster clinical research and unlock insights from complex drug data.Kumar Siddhartha, Co-founder of Merlin, rebuilding ERP from the ground up for the US construction industry.Divyaanshu Makkar, Co-founder of WizCommerce, modernising sales and commerce tools for wholesale distributors.If you're building SaaS for niche markets or wondering why traditional playbooks are failing, this episode is for you.0:00- Pienomial X WizCommerce X Merlin0:51 – What are we building in Vertical SaaS?4:29 – Vertical SaaS buyers are sticky by nature6:57 – How to build for industries used to Below-Par Tech?10:46 – Fix what your customer hated about the last vendor12:17 – Why these industries pay billions for implementation?13:38 – How we got our First customers?20:03 – Warm intros and word-of-mouth still win23:56 – Why Design Partners don't work in Vertical SaaS?27:17 – Why you should never sell your first product for free?30:29 – Can you Co-build products with early customers?34:33 – Building Your Own Platform Vs Building on Top of one39:33 – Building alongside Legacy players or innovating around them?44:31 – SaaS isn't going anywhere, AI will amplify it46:49 – Can AI agents really be reliable?48:42 – Which roles shouldn't be automated?52:16 – How to approach GTM where users guide you?54:43 – Why trust is everything here?58:54 – How to sell softwares used for 10 years?1:01:02 – How to win when the product demo comes last?1:03:16 – Why NOW for traditional industries with unsolved problems1:09:17 – Thoughts on agentic workflows1:13:02 – Why be Bearish on the “AI Employee Concept”?1:16:57 – Rapid Fire : Google or Perplexity?1:17:37 – LLMs: Open-source or Closed?1:18:19 – Favorite work software + We're hiring!1:19:42 – One business buzzword that should disappear1:20:55 – A Vertical SaaS company we admire (and why)-------------​​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 thosSend us a text

 Who truly owns the outcomes of your AI initiatives? In this episode, we explore the strategic importance of clear accountability in AI governance and why undefined roles often lead to failed implementation. Discover how a structured AI Roles and Responsibilities Matrix can transform fragmented efforts into aligned, outcome-driven success. Ideal for executives, consultants, and digital leaders navigating AI transformation. Learn how to future-proof your governance, mitigate compliance risks, and accelerate value from AI. Tune in now and gain the clarity needed to lead AI with confidence. 

If you've ever wondered how to actually navigate the AI revolution—without getting crushed by it—then you must hear this one. John Girard, serial tech CEO and modern-day philosopher, breaks down what most businesses are getting dangerously wrong about AI adoption—and what to do instead.This isn't just about optimizing workflows—it's really about whether your business survives the next decade. We unpack the AI enablement wave, why it's eerily similar to the dot-com boom (and bust), and how solopreneurs and Fortune 50s alike can avoid becoming obsolete. Whether you're a curious founder, a hesitant exec, or a policy-overwhelmed leader, this convo is your wake-up call.

How does a top AI company scale massive clusters and build AI for the enterprise? In this episode of The Liftoff with Keith, we talk to Ted Shelton, COO of Inflection AI, from the AI Infra Summit 2025. Ted shares how their team pivoted from consumers to enterprise after their Microsoft deal, why seamless infrastructure is key, and what it takes to build AI models that run on NVIDIA, AMD, and Intel.Learn why “getting to the no” is the smartest move for founders, how enterprises can embrace sovereign AI, and how Inflection's approach to model customization unlocks massive business value.

SHOW NOTESGuest: Andrew AmannWebsite: ninetwothree.coLinkedIn: Andrew AmannX/Twitter: @andrewamannKey topics:Andrew's pivot from mechanical engineering to AI and software development Early experiments with digital transformation, including VBA-coded automations Founding 923 Studio and delivering 150+ innovative AI and ML products Ideal clients: established brands with innovation labs and funded startups How Andrew and his team win business through SEO, conferences, and LinkedIn outreach Stabilization and growth goals for 923 Studio in 2025 How AI can be implemented in enterprise businesses, starting with a knowledge base Balancing business growth with a holistic lifestyle for employees Andrew's best advice: become an apprentice, learn from both good and bad bosses The 923 Studio name: inspired by their early days working 9 PM to 3 AM Tips for building AI solutions that truly solve real-world problems Key Questions(01:19) Can you tell us a bit about how you ended up where you are today?(03:15) Who would be your ideal client these days?(04:03) How do you get in front of these people?(04:35) Do you have repeat customers?(05:55) What are some big goals that you'd like to achieve in the next year?(06:45) Do you use AI within your business?(08:07) So your goals that you have, how would that affect your business?(08:55) What do you feel is the number one roadblock from you guys getting there?.(09:20) Can you talk a little bit about successful AI transformation in enterprise companies?(11:33) Do you have any tips or anything about how to build AI solutions that will solve our real problems like you were talking about?(12:55) How about running a holistic agency that uses profit to enhance the lifestyle of all employees?(13:49) What is the best piece of advice that you've ever received?(15:13) How did you come up with the business name?(15:54) What's the best advice you have ever given?(17:54) Is there anything else that you would like to touch on?(18:02)  Where can we go to learn more about you and what you're doing?Andrew Amannwww.ninetwothree.coAndrew Amann | LinkedInx.com/andrewamannVirginia PurnellFunnel & Visibility SpecialistDistinct Digital Marketing(833) 762-5336virginia@distinctdigitalmarketing.comwww.distinctdigitalmarketing.comwww.distinctdigitalmarketing.co

Today's guest is Chris Tapley, Vice President and Head of Financial Services Consulting for North America at EPAM Systems. EPAM is a global digital engineering company that provides software development and consulting services across industries, including financial services, healthcare, and media. With deep experience guiding AI adoption in regulated industries, Chris joins Emerj Editorial Director Matthew DeMello on the show today to unpack the foundational challenges facing financial institutions as they move from experimentation to production. He explores the technical and organizational barriers that often stall AI projects, from legacy systems and cloud limitations to gaps in data strategy and executive alignment. Chris shares lessons from EPAM's recent market research on AI maturity in financial services — including how long it typically takes to establish enterprise-ready AI governance and why business leaders must prioritize infrastructure, collaboration, and oversight well before model deployment. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more information and to be a potential future guest on the ‘AI in Business' podcast! This episode is sponsored by EPAM. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1.

Recko's acquisition by Stripe is one of India's biggest B2B exits. It's a great headline. But headlines don't tell the full story. They capture one final outcome not the numerous obstacles faced.In this episode, Saurya Prakash Sinha, co-founder of Recko, tells us what really happened behind the scenes. From the early days when no one was buying, no VC was funding, and they had just $500 left in the bank to building a product Stripe couldn't ignore. Saurya also shares hard-won lessons about product-market fit, customer validation, and why usage matters more than ARR in early-stage B2B.Tune in if you want to learn about the full story behind the headlines.0:00 - Trailer1:01 - Why Stripe emailed 2 founders in Bengaluru4:34 - How Recko discovered its core problem9:34 - What IF customers and investors reject?12:33 - How to Build with zero validation?14:18 - Solving what the Big Four couldn't at Myntra17:37 - What to expect when building Products in Finance?19:46 - Bought for the Product, Team or Scale?21:53 - “Customer voice is the loudest in the room”25:28 - Why VCs didn't “get” Recko28:27 - How to raise when investors follow success playbooks?30:36 - Why build products to compete with the Best?33:18 - The First cheque and first customer at Pingsafe36:45 - How to manage Acquisitions before making them public?41:02 - How Pricing is led during Buyouts?42:36 - The culture of Writing at Stripe44:08 - Why do companies Acquire?49:16 - Why ARR at early stage is not the right metric?52:26 - How to find what value your product really adds?56:38 - Why $100M+ acquisitions are rare?-------------​​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

Akanksha Bilani of Intel shares how businesses can successfully adopt generative AI with significant performance gains while saving on costs.Topics Include:Akanksha runs go-to-market team for Amazon at IntelPersonal and business devices transformed how we communicateForrester predicts 500 billion connected devices by 20265,000 billion sensors will be smartly connected online40% of machines will communicate machine-to-machineWe're living in a world of data delugeAI and Gen AI help make data effectiveGoal is making businesses more profitable and effectiveVarious industries need Gen AI and data transformationIntel advises companies as partners with AWSThree factors determine which Gen AI use cases adoptFactor one: availability and ease of use casesHow unique and important are they for business?Does it have enough data for right analytics?Factor two: purchasing power for Gen AI adoption70% of companies target Gen AI but lack clarityLeaders must ensure capability and purchasing power existFactor three: necessary skill sets for implementationNeed access to right partnerships if lacking skillsIntel and AWS partnered for 18 years since inceptionIntel provides latest silicon customized for Amazon servicesEngineer-to-engineer collaboration on each processor generation92% of EC2 runs on Intel processorsIntel powers compute capability for EC2-based servicesIntel ensures access to skillsets making cloud aliveAWS services include Bedrock, SageMaker, DLAMIs, KinesisPerformance is the top three priorities for successNot every use case requires expensive GPU acceleratorsCPUs can power AI inference and training effectivelyEvery GPU has a CPU head node component Participants:Akanksha Bilani – Global Sales Director, IntelSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon/isv/

The Rollup TV presents: Mammoth May.The Rollup TV is brought to you by:Celestia: https://celestia.org/Boundless: https://beboundless.xyz/AltLayer: https://www.altlayer.io/Mantle: https://www.mantle.xyz/Omni Network: https://omni.network/Vertex: https://vertexprotocol.com/Frax: https://frax.com/Join The Rollup Family:Website: https://therollup.co/Spotify: https://open.spotify.com/show/1P6ZeYd..Podcast: https://therollup.co/category/podcastFollow us on X: https://www.x.com/therollupcoFollow Rob on X: https://www.x.com/robbie_rollupFollow Andy on X: https://www.x.com/ayyyeandyJoin our TG group: https://t.me/+8ARkR_YZixE5YjBhThe Rollup Disclosures: https://therollup.co/the-rollup-discl

In this episode, Amir speaks with Ameya Brid, Global Director of Data & Analytics at Invista, about the maturation of GenAI conversations in the enterprise. They dive into the shift from hype to implementation, real-world challenges like data quality and change management, and how composable architecture is helping organizations adapt to rapid innovation cycles.

Most enterprises don't lack AI ambition—they lack execution. This episode reveals the proven, step-by-step framework used by leading organisations to turn AI strategy into measurable business success. Learn how to align teams, assess readiness, plan implementations, manage risk, and scale AI sustainably across the enterprise. Whether you're a manager, leader, or consultant, this roadmap gives you the tools to lead transformation with clarity and confidence. Subscribe for more insights on AI strategy, digital transformation, and leadership excellence. 

This episode features an interview with Bruce Cleveland, author of the best-seller “Traversing the Traction Gap" and CEO of Traction Gap Partners, a Market Engineering advisory firm.In this episode, Bruce outlines why most startups fail and explains market engineering, a term he coined  to represent the ideas around category design. He shares insights into creating a category and what goes into startup success. Key Takeaways:Market engineering involves the ideas around category design or redefinition thought leadership to create a category.There are distinct advantages to being a category leader; the category leader generates about 76% of  all the profits from a category. While there is a first-mover advantage, there are also some associated challenges.Thought leadership is an essential component of creating a category. People want to be around peers they admire, so gathering the right people together leads to an eventual tipping point that makes it easier for a company to sell.Quote:  One of the reasons that you need to actively be involved in the thought leadership part of category creation is people wanna hang out with other people who they think are smart, who have some cool ideas. And that I think happens with companies as well. So eventually some companies kind of climb out of the morass, the cacophony of, fighting the marketing battle and begin to emerge as the thought leaders in those. And then they collectively gather more people and more people. And finally there's a tipping point where that company is perceived as the category leader. And so it becomes really easy for those companies to then sell more.Episode Timestamps: *(02:26) The Trust Tree: Traversing the Traction Gap *(07:31) The importance of category design*(26:05) Thought Leadership in category creation*(35:39) How to evaluate startupsSponsor:Pipeline Visionaries is brought to you by Qualified.com. Qualified helps you turn your website into a pipeline generation machine with PipelineAI. Engage and convert your most valuable website visitors with live chat, chatbots, meeting scheduling, intent data, and Piper, your AI SDR. Visit Qualified.com to learn more.Links:Connect with Ian on LinkedInConnect with Bruce on LinkedInLearn more about Traction Gap Partners or Traversing the Traction GapLearn more about Caspian Studios

The dollar will lose its status as the world's reserve currency & the greatest wealth transfer in history is already underway - warns the founder of one of India's fastest-growing unicorns!In this episode, Deepak Garg, founder of Rivigo and AnywhereJobs shares why Rivigo's iconic Relay model succeeded, and what ultimately limited it. He predicts Zomato's dominance, questions funding choices of startups and shares why India may miss the AI revolution without a radical energy shift.From Bitcoin vs. gold and Trump's potential Nobel Peace Prize to Tesla becoming a $30 trillion company, Deepak's predictions are bold and grounded in years of pattern recognition.If you're a founder, investor, or macro nerd, this is an episode you won't forget.0:00- Rivigo & Anywhere Jobs02:16 – When your business outgrows the market04:18 – Capital raising is a Double-edged sword05:02 – Which ideas truly need funding?07:33 – Build teams with Accuracy, not Kindness09:39 – How to know if you've chosen the right market?10:41 – Why Zomato is India's best Consumer tech bet16:00 – How the Power is shifting b/w nations today?20:18 – Will Dollar cease to be a Reserve currency?22:36 – Is Bitcoin better than Gold?26:59 – Who will be the Next global Superpower?31:56 – India in the Next 20 years34:22 – When 2 players control 80% of India's Private sector35:52 – Why China is far ahead of India in Nuclear Energy?40:17 – Will Trump win a Nobel Peace Prize in 2025?42:01 – How Tesla could become a $30 trillion company?47:15 – Wealth transfer from Wall Street to Main Street50:30 – Where India should focus in AI-------------​​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 Big Themes:SAP's Flywheel Strategy: SAP introduced a compelling flywheel model that integrates applications, data, and AI to drive enterprise momentum. The idea is that integrated applications generate structured data, which then feeds a robust AI layer. As these layers build on one another, they create a self-reinforcing cycle of productivity, insight, and innovation—a flywheel effect. Unlike Microsoft and ServiceNow, which predict the collapse of applications in favor of agents, SAP asserts that AI agents will enhance, not replace, applications.The Business Data Cloud and Databricks Partnership: A highlight of the event was SAP's Business Data Cloud (BDC), launched in partnership with Databricks. This foundational layer brings together internal SAP data and external sources like Moody's or climate models, enabling richer decision-making. SAP showcased real-world use cases, such as tariff fluctuation impact analysis across supply chains, to demonstrate the power of combining enterprise and contextual data.Prompt Optimizer and the End of Prompt Engineering: SAP's introduction of a “Prompt Optimizer” signals a shift in the AI interface landscape. Instead of manual prompt engineering, users will soon rely on AI to manage and optimize prompts across multiple large language models (LLMs), including ChatGPT, Claude, Gemini, and Perplexity. CTO Philipp Herzig even declared we're at “the beginning of the end” of prompt engineering.The Big Quote: "[Customers are] not ready to deploy AI and have that completely eliminate the need for apps. The data is just not there. So, maybe five years from now, let's see what progress we've made. But what's in the here and now is that customers are looking for applications."

Aaron Levie, CEO & co-founder of Box, joins Azeem Azhar to explore how an “AI-first” mindset is reshaping every layer of Box – from product road-maps to pricing – and what that teaches the rest of us about building faster, smarter organisations.Timestamps:(00:00) Episode trailer(02:04) The "lump of labor fallacy" in sci-fi books(07:37) When individual productivity gains don't translate to teams(12:32) Box's Friday AI demos(21:23) How agents might redefine 100 years of management science(26:37) A lesson on AI innovation from the early days of Ford(29:52) Sundar Pichai, Satya Nadella, and Sergey Brin are coding again?(35:16) Pricing in a post-AI agent world(38:43) Cheaper tokens, heavier usage: AI's margin math(43:02) Solving AI's verifiability problem(48:24) How Aaron uses AI in his personal lifeAaron's links:Box: https://www.box.com/LinkedIn: https://www.linkedin.com/in/boxaaron/X/Twitter: https://x.com/levieAzeem's links:Substack: https://www.exponentialview.co/Website: https://www.azeemazhar.com/LinkedIn: https://www.linkedin.com/in/azharX/Twitter: https://x.com/azeemThis conversation was recorded for “Friday with Azeem Azhar”, live every Friday at 9 am PT / 12 pm ET. Catch it via Exponential View on Substack.Produced by supermix.io and EPIIPLUS1 Ltd

Joel Christner, (@joelchristner, Founder/CEO at @viewyourdata) discusses the complexities of data management in AI, structured and unstructured data, the importance of RAG pipelines and vector databases. SHOW SUMMARY:  Aaron and Joel discusses the complexities of data management in AI, focusing on the concept of universal data representation. They explore the challenges organizations face with structured and unstructured data, the importance of RAG pipelines and vector databases, and the implications of data privacy in regulated industries. The conversation also touches on managing model versions and the emerging patterns in AI tooling that can help enterprises effectively utilize AI technologies.SHOW: 925SHOW TRANSCRIPT: The Cloudcast #925 TranscriptSHOW VIDEO: https://youtube.com/@TheCloudcastNET CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotwNEW TO CLOUD? CHECK OUT OUR OTHER PODCAST - "CLOUDCAST BASICS" SPONSORS:[VASION] Vasion Print eliminates the need for print servers by enabling secure, cloud-based printing from any device, anywhere. Get a custom demo to see the difference for yourself.[US CLOUD] Cut Enterprise IT Support Costs by 30-50% with US CloudSHOW NOTES:View.io websiteTopic 1 - Welcome to the show, Joel. Give everyone a quick introduction.Topic 2 - Our topic today is everything data and how to represent it and embed it into AI systems. First, what is the challenge with data, structured or unstructured, in organizations today and what is behind the concept of Universal Data RepresentationTopic 3 - Industry or customer specific data today is big challenge for organziations, especially in highly regulated industries such as healthcare, financial services, etc. The most prevalent solution I am seeing is taking an existing foundational model and then adding a RAG pipeline vs. the cost and time to fine tuning. What are you seeing?Topic 4 - Even when companies have good data, that doesn't mean that data makes it into the AI pipeline correctly, this is where the embedding problem and your concept of Universal Data Representation comes into play, correct?Topic 5 - But, once you get the first model out, then what? How should the data and models be handled over time? How do you create a platform and a continuous feedback loop to improve the results over time?Topic 6 - What are the most successful use cases you are seeing today with your customers?FEEDBACK?Email: show at the cloudcast dot netBluesky: @cloudcastpod.bsky.socialTwitter/X: @cloudcastpodInstagram: @cloudcastpodTikTok: @cloudcastpod

The buzz in Silicon Valley around AI agents has many asking: What's real and what's hype? Box's co-founder and CEO, Aaron Levie, joins Rapid Response to help decipher between fact and fiction, taking listeners inside the fast-paced evolution of agents and its impact on the future of enterprise AI. Plus, Levie unpacks how AI is really being adopted in the workplace, what it takes to legitimately build an AI-first organization, and what political leaders across both parties misunderstand about creating the best environment for technology to thrive. Visit the Rapid Response website here: https://www.rapidresponseshow.com/See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

The buzz in Silicon Valley around AI agents has many asking: What's real and what's hype? Box's co-founder and CEO, Aaron Levie, joins Rapid Response to help decipher between fact and fiction, taking listeners inside the fast-paced evolution of agents and its impact on the future of enterprise AI. Plus, Levie unpacks how AI is really being adopted in the workplace, what it takes to legitimately build an AI-first organization, and what political leaders across both parties misunderstand about creating the best environment for technology to thrive.Visit the Rapid Response website here: https://www.rapidresponseshow.com/See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

SuperAnnotate is revolutionizing how companies manage their AI training data with a comprehensive infrastructure platform. Having raised over $53 million in funding, SuperAnnotate has evolved from a specialized algorithm for autonomous vehicles to a centralized data hub that enables enterprises to collaborate with multiple service providers and internal teams. In this episode of Category Visionaries, we spoke with Vahan Petrosyan, CEO and Co-Founder of SuperAnnotate, who shared his journey from PhD student to tech founder and unpacked his vision for creating what he describes as "a database for training data" - similar to Databricks but specialized for AI training data. Topics Discussed: SuperAnnotate's evolution from algorithm to comprehensive data labeling infrastructure The journey from academic research to founding a tech startup How an early contract with an autonomous driving company validated their solution The strategic pivot from competing with service providers to creating a collaborative ecosystem The transformation of their go-to-market strategy to create stickier enterprise relationships SuperAnnotate's focus on building a centralized training data platform for enterprise AI The importance of automation and "SuperAnnotate agents" for AI data operations How customizability has enabled SuperAnnotate to support diverse generative AI use cases GTM Lessons For B2B Founders: Recognize when to stop competing and start collaborating: Vahan's most important go-to-market decision was shifting from competing with service providers to creating an infrastructure that enables collaboration. "That's one of the mindset shifts... we are trying to build an ecosystem with our partners, not really trying to compete with them," he explains. B2B founders should consider whether creating an ecosystem platform might be more valuable than directly competing in fragmented service markets. Solution engineers are crucial for enterprise AI sales: Vahan emphasized that "solution engineering is super important because as you're touching enterprise AI, your solution engineers are more or less the core part of your team." Without proper technical enablement, enterprise customers won't be able to implement complex AI solutions. B2B founders selling sophisticated technology should invest heavily in solution engineering capabilities. Build for adaptability in rapidly evolving markets: SuperAnnotate achieved 3x growth by making their platform "fully customizable to any use case." Vahan noted, "If tomorrow there will be a new agentic workflow, then we'll be able to support it." Rather than offering point solutions, B2B founders in emerging technology spaces should build adaptable platforms that can evolve with changing market needs. Passive fundraising often yields better results than active campaigns: Vahan shared a counterintuitive fundraising insight: "Whenever I was actively fundraising, I was doing something wrong." His most successful raises came from casual coffees with investors who approached him, not from pitching dozens of VCs. B2B founders might benefit from focusing on building relationships and demonstrating value rather than running intensive fundraising campaigns. Enterprise AI is a long-term bet: Looking 3-5 years ahead, Vahan sees enterprise AI as the major opportunity. "Companies have datasets sitting in silos, but that dataset is gold," he explains. The ability to "transform that dataset to training data in a fast and accurate manner will define your moat moving forward." B2B founders should consider how their solutions can help enterprises unlock value from proprietary data.   //   Sponsors: Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. www.FrontLines.io The Global Talent Co. — We help tech startups find, vet, hire, pay, and retain amazing marketing talent that costs 50-70% less than the US & Europe.  www.GlobalTalent.co  

Customer expectations have skyrocketed—people now demand instant, personalized, and seamless interactions across every touchpoint. But are companies truly meeting these expectations, or are they still stuck in reactive customer service models? What if AI could completely transform the customer experience into something proactive, predictive, and even empathetic? Joining me today is Vinod Muthukrishnan, VP & COO of Webex Customer Experience at Cisco. Vinod is a leader in the future of customer experience (CX), helping organizations use AI to anticipate customer needs, deliver seamless automation, and create personalized interactions at scale. Vinod Muthukrishnan is the VP & COO for the Webex Customer Experience Business Unit, overseeing Go To Market, Customer, and Business Operations. In this role he collaborates with Cisco field teams, partners, and customers to deliver innovative solutions. His passion lies in creating products that solve real customer pain points and providing a seamless customer experience. He also values building strong communities, teams, culture, and operating rhythms.Previously, Vinod spent three years in Enterprise AI at Uniphore, a Cisco Investments Portfolio Company, where he developed a product enabling Citizen Developers to create AI and automation solutions. He managed Uniphore's customer functions, including Delivery, Technical Support, Customer Success, and AI consulting, helping enterprises align their business goals with AI roadmaps.Vinod was also VP & COO at the Webex Contact Center Business Unit during a period of significant growth and innovation. During his tenure at the BU, the IMI CPaaS business was acquired, and Webex Contact Center was launched. These two initiatives now serve as the foundations of the Webex Customer Experience Business Unit. Vinod oversaw all GTM functions.He joined Cisco when his startup, CloudCherry, was acquired in 2019. As Co-Founder and CEO of CloudCherry, he and his team developed a Customer Experience Platform that became Webex Experience Management. They also built the foundations of the Customer Journey Data Service, essential to the Webex Portfolio today.Coming from a military family, Vinod began his career in the Merchant Marine at 18, becoming a certified First Officer with Maersk Line and sailing to over 60 countries. He later joined the founding team at MarketSimplified, which introduced mobile trading to major brokerages like TD Ameritrade and OptionsExpress. RESOURCESCisco: https://www.cisco.com Catch the future of e-commerce at eTail Boston, August 11-14, 2025. Register now: https://bit.ly/etailboston and use code PARTNER20 for 20% off for retailers and brandsOnline Scrum Master Summit is happening June 17-19. This 3-day virtual event is open for registration. Visit www.osms25.com and get a 25% discount off Premium All-Access Passes with the code osms25agilebrandDon't Miss MAICON 2025, October 14-16 in Cleveland - the event bringing together the brights minds and leading voices in AI. Use Code AGILE150 for $150 off registration. Go here to register: https://bit.ly/agile150Connect with Greg on LinkedIn: https://www.linkedin.com/in/gregkihlstromDon't miss a thing: get the latest episodes, sign up for our newsletter and more: https://www.theagilebrand.showCheck out The Agile Brand Guide website with articles, insights, and Martechipedia, the wiki for marketing technology: https://www.agilebrandguide.com The Agile Brand podcast is brought to you by TEKsystems. Learn more here: https://www.teksystems.com/versionnextnowThe Agile Brand is produced by Missing Link—a Latina-owned strategy-driven, creatively fueled production co-op. From ideation to creation, they craft human connections through intelligent, engaging and informative content. https://www.missinglink.company

You prolly missed this HUGE AI drop.Google quietly updated its NotebookLM behemoth to a thinking model and went FULL on multilingual. Millions of people are instantly getting a AI assistant overnight, but probably don't even know. So.... we're breaking it down. Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Thoughts on this? Join the conversation.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:NotebookLM's Major 2024 AI Tool UpdatesGoogle's Gemini 2.5 Flash Multilingual FeaturesNotebookLM's Gemini Model Integration DetailsAI Reasoning Models in NotebookLM ExplainedAI Audio Overviews in 50+ LanguagesExploring NotebookLM's Mind Map FeatureDiscover Sources Function in NotebookLMUsing Deep Research with NotebookLMTimestamps:00:00 "Google Notebook AI Updates"06:27 ChatGPT-Controlled IBM Updates Demo08:48 Notebook LM Gains Global Attention13:18 Modeling Challenges and Learning Paths14:01 "Gemini 2.5 Flash: Powerful & Affordable"18:55 AI Struggle: Defining Chicago21:49 "Notebook LM Source Integration Guide"26:30 "Notebook LM: Studio and Mind Map"29:47 Watson x AI Updates Overview31:36 Mind Map: Chaos to Clarity36:39 "Adding Sources: Manual vs. Auto"39:02 Analyzing Watson x Updates Monthly41:08 IBM Watson x Trends Overview44:25 Evaluating John's Performance in Marketing48:05 "Leveraging Data with AI"Keywords:NotebookLM, Google Gemini, AI update, Gemini 2.5 flash model, Multilingual audio overviews, Large Language Model, Deep research tools, Google AI Studio, AI-powered deep dives, Gemini 2025, OpenAI, ChatGPT, AI-driven mind maps, IBM Watson x, Enterprise governance, AI reasoning model, Language support, AI-powered conversation, Audio overview features, AI flash model, Multimodal AI, Data protection, AI Studio integration, AI capabilities, Gemini reasoning, Machine learning advancements, AI feature updates, Enterprise AI solutions, Google Gemini thinking model, AI-driven insights, Language model updates, AI-driven research.Send 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

OpenAI shared a short report with seven things they've seen work for companies using AI. These lessons come from real examples with firms like Morgan Stanley, Indeed, Klarna, BBVA, and Mercado Libre. The report reads like a blueprint for interested firms. Interested in sponsoring the show? nlw@breakdown.network Get Ad Free AI Daily Brief: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://patreon.com/AIDailyBrief⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Brought to you by:KPMG – Go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://kpmg.com/ai⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to learn more about how KPMG can help you drive value with our AI solutions.Blitzy.com - Go to ⁠⁠https://blitzy.com/⁠⁠ to build enterprise software in days, not months The Agent Readiness Audit from Superintelligent - Go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://besuper.ai/ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠to request your company's agent readiness score.The AI Daily Brief helps you understand the most important news and discussions in AI. Subscribe to the podcast version of The AI Daily Brief wherever you listen: https://pod.link/1680633614Subscribe to the newsletter: https://aidailybrief.beehiiv.com/Join our Discord: https://bit.ly/aibreakdown