Podcasts about enterprise ai

In today's Cloud Wars Agent and Copilot Minute, I look at how screen-aware Copilots, task-based agents, and multimodal interfaces are reshaping enterprise work — and why identity, permissions, and access guardrails now matter more than ever.Highlights00:30 — Two experts, Brian Madden, Vice President and Field Technology Officer and Futurist at Citrix, and Marco Casalaina, Vice President of Products, Core AI and an AI Futurist at Microsoft, hosted a session at this year's Microsoft Ignite conference titled “Develop Your Enterprise Playbook to Prepare for the AI of Tomorrow.”00:58 — I want to share some key takeaways. Madden laid out a seven-stage roadmap for human–AI collaboration. Steps included simple prompt and paste, the first introduction to AI; next, AI as an analyst for colleagues; followed by AI watching your screen; AI using your computer for you; AI using your computer without you watching; multi-agent AI communication; and the final step: AI-orchestrated work.01:55 — Ultimately, AI needs to work where human knowledge workers work, because the world we live in today is built for humans, and the way that AI will succeed is by operating within this user space and emulating humans in practice. Users talk to AI, and AI talks to the applications and workflows on behalf of the user.02:34 — The discussion moved on to the notion of apps dissolving into data, ultimately AI talking directly to the data without going through an application. Casalaina demonstrated this by running Anthropic's Claude on Azure and giving it the skills to create a PowerPoint. It did — without using PowerPoint. It made the slides in HTML and then converted them without ever opening the PowerPoint application. Visit Cloud Wars for more.

The promise of agentic AI has been massive, autonomous systems that act, reason, and make business decisions, but most enterprises are still struggling to see results.In this episode, host Chris Brandt sits down with Sumeet Arora, Chief Product Officer at Teradata, to unpack why the gap exists between AI hype and actual impact, and what it takes to make AI scale, explainable, and ROI-driven.From the shift toward “AI with ROI” to the new era of human + AI systems and data quality challenges, Sumeet shares how leading enterprises are moving from flashy demos to measurable value and trust in the next phase of AI. CHAPTER MARKERS00:00 The AI Hackathon Era03:10 Hype vs Reality in Agentic AI06:05 Redesigning the Human AI Interface09:15 From Demos to Real Economic Outcomes12:20 Why Scaling AI Still Fails15:05 The Importance of AI Ready Knowledge18:10 Data Quality and the Biggest Bottleneck20:46 Building the Customer 360 Knowledge Layer23:35 Push vs Pull Systems in Modern AI26:15 Rethinking Enterprise Workflows29:20 AI Agents and Outcome Driven Design32:45 Where Agentic AI Works Today36:10 What Enterprises Still Get Wrong39:30 How AI Changes Engineering Priorities55:49 The Future of GPUs and Efficiency Challenges -- This episode of IT Visionaries is brought to you by Meter - the company building better networks. Businesses today are frustrated with outdated providers, rigid pricing, and fragmented tools. Meter changes that with a single integrated solution that covers everything wired, wireless, and even cellular networking. They design the hardware, write the firmware, build the software, and manage it all so your team doesn't have to.That means you get fast, secure, and scalable connectivity without the complexity of juggling multiple providers. Thanks to meter for sponsoring. Go to meter.com/itv to book a demo.---IT Visionaries is made by the team at Mission.org. Learn more about our media studio and network of podcasts at mission.org. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

After 20+ years at some of the most important Silicon Valley tech companies like Yahoo, LinkedIn, Oracle, Informix and NerdWallet, Bhaskar today leads investment of enterprise infrastructure companies at 8 VC.Bhaskar Ghosh spent 20+ years at some of the most important Silicon Valley tech companies before moving into venture capital as a Partner at 8VC.After completing his PhD in computer science from Yale, he worked across Yahoo, LinkedIn, Oracle, Informix and NerdWallet. He brings this experience to founders building the next generation of enterprise infrastructure companies.In this episode Bhaskar explains how IT services are being reimagined for India, a country that over the last 25 years turned its skilled workforce into a global services engine. We discuss the shift happening inside workflows most people do not think about: mid-office ops, call centers, insurance, travel and HR. These are areas where thousands of people move information every day, and where AI is now good enough to take over entire workflows.Bhaskar talks about the founders already building in this space, including those buying traditional services companies and rebuilding them with AI at the core. He also explains why this new wave will not behave, scale or be valued like SaaS, because this is no longer pure software. It is the reinvention of services.If you are a founder making engineering decisions, someone curious about the less visible layers of software, or interested in people who move technology forward, this conversation with Bhaskar is for you.00:00 –Trailer03:03 – How India will reimagine IT services (TCS, Infosys)04:32 – “why now” of services06:07 – How unstructured data became easier to handle?07:53 – What LLMs can do today with high precision10:35 – Use of GenAI will increase margins in services11:54 – Front & mid offices will become more productive and lean14:30 – Will a pure services business scale anymore?15:55 – Legacy service businesses + AI-first software20:04 – Real challenge to operate and scale such businesses20:33 – 3 reasons on why SaaS companies get higher multiples?22:06 – Network-effect players win big in SaaS24:18 – Replacing software v/s replacing services26:16 – Business without inherent network effects (yet)28:22 – Is AI unlocking TAM larger than Software era?30:57 – How prosperity of a country influences growth of Co's32:50 – India's tech talent is key to India-US corridor39:36 – Deeply disruptive AI Co's will come from India43:04 – How new-age AI services companies of India should grow in US?44:39 – Current BPOs have an unfair advantage47:21 – Will older BPOs understand the importance of AI?49:22 – A Moat in outcome-based pricing can replace old businesses51:50 – Has the US ever been sensitive to cost?55:23 – The new AI-enabled services have a Palantir-risk flavour58:47 – Where to build when model Co's eat forward & backward revenue?01:06:10 – What type of founding teams are needed?01:08:10 – How founders think about GTM is changing-------------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/theneonSend us a text

Welcome to AI Unraveled (November 20, 2025): Your daily strategic briefing on the business impact of AI.Today's Highlights: Saudi Arabia signs landmark AI deals with xAI and Nvidia; Europe scales back crucial AI and privacy laws; Anthropic courts Microsoft and Nvidia to break free from AWS; and Google's Gemini 3 climbs leaderboards, reinforcing its path toward AGI.Strategic Pillars & Topics:

You ever see a new AI model drop and be like.... it's so good OMG how do I use it?

Have you ever wondered what happens when the browser stops being a simple window to the web and starts becoming the control point for how AI touches every part of enterprise life? That was the starting point for my conversation with Michael Shieh, founder and CEO of Mammoth Cyber. What followed was a detailed look at why the browser is turning into the foundation of enterprise AI and why the shift is arriving faster than many expect. Michael shared why employees already spend most of their working lives inside a browser and how this makes it the natural place for AI to support decisions, speed up routine work, and act as the interface between people, applications, and data. But we also spoke about the uncomfortable reality behind that convenience.  When consumer AI browsers rush ahead with features that harvest data or request wide-reaching permissions, the trade off between speed and governance becomes harder to ignore. Michael explained how this gap leaves security teams unable to see where sensitive data is being sent or how shadow AI creeps into daily workflows without oversight. During our conversation he broke down what makes an enterprise AI browser different. We talked about policy controlled access, device trust, identity federation, and the safeguards that protect AI from hazards like indirect prompt injection. Michael also described how the Mammoth team built a multi layer security model that monitors what the AI can view, what it cannot view, and how data moves across applications in real time. His examples of DLP at the point of use, low friction controls for workers, and granular visibility for security teams showed how the browser is becoming the new enforcement boundary for zero trust. We also covered the growing tension between traditional access models like VPNs or VDI and the faster, lightweight deployment Mammoth is offering to large enterprises. Hearing Michael explain how some customers replaced heavy remote access stacks in weeks made it clear that this is more than a new product category. It hints at an early move toward AI shaped workflows running directly at the endpoint rather than through centralised infrastructure. As he looked ahead to the next few years, Michael shared why he expects the browser to operate as a kind of operating system for enterprise AI, blending native AI agents, web apps, and policy controls into a single environment. This episode raises an important question. If the browser becomes the place where AI reads, writes, and interprets information, how should enterprises think about identity, trust, and control when the pace of AI adoption accelerates again next year? I would love to hear your thoughts.

Dell Technologies has unveiled enhancements to the Dell AI Factory designed to simplify and accelerate the enterprise AI journey. These portfolio additions boost performance and automation for AI workloads while removing bottlenecks, delivering greater control with integrated, resilient on-premises infrastructure. Why it matters In today's digital landscape, organisations increasingly rely on AI to stay competitive and foster innovation. The momentum is clear with 85 percent of enterprises planning to move AI on-premises within the next 24 months. Seventy-seven per cent of those seeking AI are looking for one holistic infrastructure vendor to provide capabilities across their AI journey. Dell's expanded portfolio addresses these needs with the industry's broadest end-to-end AI portfolio designed to streamline AI adoption and deliver impactful results. Simplified and automated AI journey The Dell Automation Platform, now expanded to the Dell AI Factory, will deliver smarter, more automated experiences by deploying validated, optimised solutions with a secure framework. This approach will produce repeatable outcomes, eliminate guesswork, and help unlock the full potential of AI-driven use cases across Dell's ecosystem of technology partners. Key advancements include: Software-driven tools like the AI code assistant with Tabnine and agentic AI platform with Cohere North are now automated, getting AI workloads into production faster, streamlining operations and enhancing scalability. Dell Professional Services provide turnkey interactive AI use case pilots using real customer data to validate business value ahead of scaled investments. These expert-led pilots offer a hands-on preview for experimentation with clear success metrics and KPIs, delivering tangible ROI. Breakthrough performance and efficiency for AI workloads Enhanced Data Management: How organisations manage, secure and scale that data will separate the winners from the laggards. Updates to Dell PowerScale and Dell ObjectScale, the Dell AI Data Platform's storage engines, boost performance, scalability, and data discovery capabilities. Dell PowerScale will soon be available as an independent software license on qualified Dell PowerEdge servers like the Dell PowerEdge R7725xd. This news is the latest in Dell software-driven storage innovation following the announcement of a new software-defined Dell ObjectScale. These new Dell PowerScale and Dell ObjectScale configurations will help organisations like cloud service providers realise even greater AI performance while having the flexibility to adopt the latest server and networking technologies to meet infrastructure needs. Dell PowerScale parallel NFS (pNFS) support with Flexible File Layout will enable two-way communication between the metadata server and client, allowing for better parallel distribution of data across multiple nodes in a PowerScale cluster. Deliver significant throughput, performance gains and linear scalability with parallel I/O across multiple pathways. This update is designed to provide increased parallelism, delivering massive scalability and throughput tailored for demanding AI workflows. Dell ObjectScale AI-Optimised Search offers two complementary AI-optimised search capabilities for Dell ObjectScale storage - S3 Tables and S3 Vector. These two specialised APIs provide high-speed access to complex data stored directly on ObjectScale to support analytics and key AI workloads like inferencing and retrieval-augmented generation (RAG), empowering faster decision-making and easier storage, retrieval and search of expanding datasets. PowerEdge Innovations: Dell PowerEdge servers provide the foundation for enterprise AI, delivering faster training, distributed inference and reduced time to insights - all while offering flexible cooling options to align with diverse enterprise strategies: Dell PowerEdge XE9785 and XE9785L are purpose-built for next-generation AI and HPC workloads. The air-cooled XE97...

What happens when enterprise AI moves faster than the data foundations meant to support it? That question guided my conversation with Sumit Mehra, CTO and Co-Founder of Tredence, who joined me while travelling between customer meetings on the US West Coast. Sumit has a clear view of what is coming next, and he believes we are entering a phase he calls data Darwinism.  In his view, the next stage of AI advantage will not be won by the companies with the most models or the flashiest demos, but by those with the strongest data habits. Clean, governed, connected data is now the primary fuel for autonomous decision systems, and the enterprises that fail to address this will struggle to move past surface level gains. As we unpacked this shift, it became obvious how much of the real work in AI has only just begun. Over the years, Tredence built a reputation for solving the last mile of analytics by bringing insights out of slide decks and into the hands of the people doing the work. Sumit described that early chapter with a sense of pride, but he was quick to point out that another transition is already here. With agents now influencing and making decisions across supply chains, forecasting, and customer experience, enterprises are moving from reviewing insights to reviewing decisions. That shift demands stronger data platforms, tighter governance, and a cultural adjustment that many organisations are still wrestling with. Sumit spoke openly about how teams need support to trust agent driven outcomes, and how the leadership layer plays a major role in closing the long standing divide between business and technical groups. Our discussion also moved into the rise of real time decision systems, the move toward unified data platforms, and how vertical AI is reshaping expectations inside industries that rely on precision. Whether it was supply chain visibility, marketing personalisation, or the growing need for credible governance models, Sumit emphasised that organisations can no longer rely on siloed data or fragmented strategies. As Tredence expands deeper into regulated industries through its acquisition of Further Advisory, the work ahead touches everything from finance to healthcare. It left me thinking about how ready most companies truly are for this next phase, where every agent is only as reliable as the data beneath it. Where do you stand on data Darwinism, and how prepared do you think your own organisation is for what comes next? Tech Talks Daily is Sponsored by NordLayer: Get the exclusive Black Friday offer: 28% off NordLayer yearly plans with the coupon code: techdaily-28. Valid until December 10th, 2025. Try it risk-free with a 14-day money-back guarantee.

130 IPOs from over 400 startups. IVP is now in its 18th fund, with companies like Perplexity, Glean, Slack, Figma, Twitter, Uber, and Abridge in its portfolio. Somesh Dash, general partner at the 45-year-old firm, has been part of IVP for more than 20 years.We start with something we are both passionate about, building in the US-India corridor. Somesh talks about the group of people who put the silicon in Silicon Valley, the immigrants. From Andy Grove to Elon Musk to Chennai-born Aravind Srinivas.He recalls the first time he met Aravind at a WeWork, when Perplexity had just 20 employees and a beta product or how Dylan (Founder of Figma) had the vision nobody else had on the future of design, way before ai. The early signals Somesh saw in these founders, long before any signs of massive success were visible. He also talks about the companies they missed, giants like DoorDash, OpenAI, and Anthropic.Though this seasoned investor truly believes in AI, he says the sector is due for a correction. The bubble will burst. Most Gen 1.0 AI companies are unlikely to reach billion-dollar valuations or go public. But as always in tech, the lessons from this first wave will shape Gen 2.0 companies. And the teams that understand and adapt from this early wave will build the next generation of successful AI companies. Also, when the bubble bursts, that's the time to invest. Why?Somesh Dash shares in this episode.0:00 – Trailer1:12 – Immigrants who built Silicon Valley4:27 – India's incredible contribution to the Valley5:30 – How the India–US friction will actually help6:29 – What's at stake for both countries10:42 – Where India stands in AI11:45 – First meeting with Aravind Srinivas13:47 – Why IVP invested in Perplexity two years ago17:11 – In AI, don't take product–market fit for granted18:43 – Courage to fail & double down on early wins19:36 – Why multiple investors on a cap table isn't bad22:14 – How IVP invested in Figma24:28 – IPO is a milestone, not the end25:56 – Why US public markets are not overvalued27:50 – How a VC defines startup success31:08 – The best thing about failed startups32:12 – Why IVP missed DoorDash34:54 – How IVP decides to invest or pass38:27 – The doctor who builds tech45:05 – Future of Content is honesty and vulnerability47:11 – Meeting OpenAI & Anthropic in the early days48:52 – AI “startups” with capex the size of nations49:53 – The power law in venture capital50:45 – Why we're close to an AI correction54:11 – Gen 2.0 startups are built on Gen 1.0 foundations56:45 – Will the AI bubble burst?1:01:32 – Do high valuations during peaks still make sense?1:05:04 – What keeps IVP strong for five decades1:08:11 – The Co's making IVP more bullish on India–US corridor-------------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-------------Send us a text

Most AI startups die before they even ship. Worse: they spend months building the wrong thing.This week on Zero to One, Ankur Patel (Multimodal / AgentFlow) dropped some of the clearest, most brutal (and useful) advice we've heard for anyone trying to go from zero to one in enterprise AI.

When Shreesha Ramdas left Medallia after a $6.5B acquisition he decided it was time to reinvent.At his 4th startup Lumber, before writing a single line of code, he hired a sales person and ran 200+ interviews across the industry to understand the real pain points. The interviews gave Shreesha the insight that though payments were a problem, it was neither big enough nor urgent. But it was very difficult to hire workers, and even more difficult to retain skilled craft workers. In the U.S alone 41% of construction workers will retire in the next six years, leaving a massive gap in talent and experience. As a big believer in vitamin vs. painkiller, Shreesha is now building where the pain is deepest. We discuss what truly needs to happen before building a startup, the foundation that will shape everything that follows. From his days at Yodlee during the dot-com boom to leading StrikeDeck and selling it to Medallia, he is now building again with clarity and intent for one of the most traditional industries: construction.  But here's one thing that probably tells you more about Shreesha than the companies he has built and scaled. He said, “My heart beats for other founders. Startup is my world, this community is my tribe.”0:00 – Trailer1:04 – Why build tech for Construction industry?3:54 – 200+ interviews to find the real customer pain5:05 – Big believer in Vitamin vs. Painkiller6:25 – The 2 core problems in this industry7:02 – Repeat founders Know structure better7:42 – First startup during the dot-com boom8:29 – Bay Area is Disney Land for tech founders9:23 – From engineering → sales → marketing10:37 – Founders should trust the team, above everything11:55 – The survey company that banned “survey”12:17 – First startup was all about me; now it's all about team13:57 – Dream big, but execute in small steps15:47 – The cost of speed in startups16:18 – I'm a marketing-first CEO17:27 – Hire a salesperson before the product exists18:17 – Is Founder-led selling good or bad?19:37 – Mean, lean & go all in23:55 – Don't bring humility to storytelling27:25 – How the story should evolve as startups scale35:30 – How Lumber will challenge giants in construction38:53 – Do repeat founders build more in verticals?43:39 – How to hire right people from traditional industries44:29 – What wealth unlocked for Shreesha45:34 – Legacy is moving the industry forward46:38 – What the next 20 years mean for software founders49:18 – AI should remove soul-draining work51:19 – “My heartbeats for other founders”-------------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

Today's guest is Raul Monroig, People Organization Vice President for the Intercon Region at Bristol Myers Squibb. Bristol Myers Squibb manufactures prescription medicines across oncology, hematology, immunology, cardiovascular disease, and neuroscience. With a truly global footprint, the company's research, manufacturing, and commercial presence spans more than 60 countries, and with such scale, of course, comes the complexity of managing a vast workforce. Raul joins Emerj Editorial Director Matthew DeMello to discuss how global HR teams can embrace AI to tackle critical challenges in workforce development. With AI adoption accelerating at breakneck speed, it may be that focusing on a small set of essential skills like curiosity, agility, and customer service orientation —  rather than training employees on everything all at once — may be the paradigm shift that helps drive organisational success. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1.

You rarely meet someone who has built and sold five companies. Sachin Aggarwal is now building his sixth, Stackgen. The depth of lessons from someone who has been through that journey five times and still chooses to build again is simply unmatched. Even after five successful exits, he still builds like a first-time founder. He studies every new domain from scratch, speaks to 60 or 70 people before committing to an idea, and surrounds himself with people who are smarter than him. What stood out most is his mindset. That is what truly sets him apart. We have always been told that time is money, but he believes timing is money. Founders should time everything, including their exits because the best startups are always bought, not sold. From building his first company during the Asian Financial Crisis in Indonesia, to creating a healthcare startup that grew with Obamacare, to pioneering cloud security before it became mainstream, Sachin has mastered the art of timing. 0:00 – Trailer0:46 – From KPMG to becoming an entrepreneur2:05 – Why the best startups are bought, not sold4:30 – Does luck play a role in repeated success?5:24 – Why is timing money?6:46 – Exit at $8M ARR in just 18 months8:10 – The first exit that gave financial freedom10:14 – 26-year-old who bought an Indonesian Co.12:42 – What drives repeat founders?13:53 – Co's are either Born secure or they're not19:40 – Founders must master timing21:24 – How tech-savvy should a tech founder really be?22:35 – The right way to time your exits27:07 – How to observe new markets to build?28:30 – The process behind starting a company29:32 – How to find the right co-founders?31:53 – What really builds trust?33:05 – What founders learn building across industries35:25 – How Stackgen's founders met43:36 – Industries with the best Timing today44:41 – Where should young founders build?48:06 – Winning InMobi as a customer51:11 – What AI agents are doing at Stackgen55:14 – How Stackgen could be a billion-dollar opportunity?=-------------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

Description:AI agents from OpenAI, Google, and Anthropic promise to act on your behalf—booking flights, handling tasks, making decisions. What kind of agency do these systems actually have? And whose interests are they serving?Enterprise AI agents are already deployed in customer support, code generation, and task automation. Consumer agents—ChatGPT Agent Mode, personal task assistants—face a wider gap between marketing promises and actual capabilities.The alignment problem: agents need access to your calendar, email, and personal preferences to help you effectively. But the agent that knows you well enough to serve you is also positioned to steer you. When you delegate decisions to an agent, who decides what success looks like?To stay in touch, sign up for our newsletter at https://www.superprompt.fm

** AWS re:Invent 2025 Dec 1-5, Las Vegas - Register Here! **Learn how Anyscale's Ray platform enables companies like Instacart to supercharge their model training while Amazon saves heavily by shifting to Ray's multimodal capabilities.Topics Include:Ray originated at UC Berkeley when PhD students spent more time building clusters than ML modelsAnyscale now launches 1 million clusters monthly with contributions from OpenAI, Uber, Google, CoinbaseInstacart achieved 10-100x increase in model training data using Ray's scaling capabilitiesML evolved from single-node Pandas/NumPy to distributed Spark, now Ray for multimodal dataRay Core transforms simple Python functions into distributed tasks across massive compute clustersHigher-level Ray libraries simplify data processing, model training, hyperparameter tuning, and model servingAnyscale platform adds production features: auto-restart, logging, observability, and zone-aware schedulingUnlike Spark's CPU-only approach, Ray handles both CPUs and GPUs for multimodal workloadsRay enables LLM post-training and fine-tuning using reinforcement learning on enterprise dataMulti-agent systems can scale automatically with Ray Serve handling thousands of requests per secondAnyscale leverages AWS infrastructure while keeping customer data within their own VPCsRay supports EC2, EKS, and HyperPod with features like fractional GPU usage and auto-scalingParticipants:Sharath Cholleti – Member of Technical Staff, AnyscaleSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

Why most enterprise AI fails — and how Cat Valverde's 4-week adoption framework shows that the fix is just 15 minutes a week.Most enterprises are stuck in AI pilot purgatory — running endless experiments that never scale. In this episode of Unchurned, Josh Schachter sits down with Cat Valverde, founder of Enterprise AI Group, to break down what's really blocking enterprise adoption.Cat shares her research-backed 15-Minute Rule, a simple 4-week framework that's doubled or tripled adoption rates — all by making AI implementation human-centered instead of tool-centered.If you're a leader trying to take AI from pilot to production, this is your playbook.What You'll Learn- Why most enterprise AI initiatives fail to scale past pilot stage- How to reduce adoption friction and create lasting behavior change- The psychological levers that improve user buy-in and learning retention- How to structure a simple 4-week rollout for any AI tool or workflow- What metrics actually matter when evaluating AI adoption successTimestamps: 0:00 – Preview & Intro1:02 – Meet Kat Valverde 1:42 – What buyers and sellers say in enterprise AI roundtables3:11 – The challenge of internal adoption 6:20 – The 15-Minute Rule; a 4-week micro-adoption framework11:45 – The psychology behind AI adoption12:18 – 2–3× adoption rates and major cost savings14:45 – Closing thoughtsKey Takeaways- Pilot fatigue is real — the biggest blocker to enterprise AI adoption isn't money, it's time and cognitive load.- The true KPI: internal adoption, not just model accuracy or ROI.- Fear ≠ just job loss. It's the fear of asking “dumb” questions or not keeping up with peers.- The 15-Minute Rule: a 4-week program built on psychology that uses micro-commitments to build momentum.- Outcomes: 2–3× higher adoption and ~50% training-cost reduction per user.---Check out the Key Takeaways & Transcripts: ⁠https://www.gainsight.com/presents/series/unchurned/⁠---Where to Find Cat:LinkedIn: ⁠https://www.linkedin.com/in/catvalverde/Enterprise AI Group: https://www.eais.io/Where to Find Josh: LinkedIn: ⁠https://www.linkedin.com/in/jschachter/⁠---Resources: The Power of Habit: https://www.charlesduhigg.com/the-power-of-habit

Hasan Rizvi, EVP, Database Engineering, Oracle, talks to Bob Evans in this latest episode of Cloud Wars Live. They explore the launch of Oracle AI Database 26ai, the Autonomous AI Lakehouse, and breakthroughs in multi-cloud deployment. Rizvi also discusses vector search, agentic AI, and how Oracle is simplifying complex architectures for the AI era. It's a compelling look at how Oracle is reshaping enterprise data strategy for the age of AI.Oracle's Next-Gen Data StrategyThe Big Themes:AI Demands a Modern Data Foundation: As AI shifts operations from human scale to machine speed, enterprises must ask: “Is my data foundation ready?” Without intelligent data structures, comprehensive access, real‑time performance, and strong security, organizations will struggle to compete. The introduction of Oracle AI Database 26ai is positioned as that foundation. The urgency of this shift is clear: companies that delay risk being left behind.Agentic AI and Vectors Come to the Enterprise Database: Generative AI and autonomous agents require new data types and workflows. Oracle has built vector data types and vector indexes into the database so enterprises can perform similarity search, retrieval‑augmented generation (RAG) and agent workflows directly on their private data. Further, Oracle is enabling annotations (metadata) so LLMs can understand enterprise data schemas, improving accuracy. Finally, agentic workflows (AI that takes action) are supported within the database, reducing data movement, improving performance and strengthening security.Start‑Ups and Established Enterprises Both Benefit: The case study of Retraced (a fashion supply‑chain company) underscores how smaller, agile firms are using Oracle's autonomous AI database to innovate quickly: multi‑datatype support, agentic AI, automatic scaling, and reduced operational overhead. At the same time, Oracle's heritage in mission‑critical enterprise systems means large companies with massive workloads benefit from the same platform. The point: whether you're a start‑up or a Fortune 500, the difference will be how fast you move.The Big Quote: “We really believe that in in the age of AI, where you have to move much faster, you really don't have a choice but to start simplifying your environment. Otherwise, you're going to get left behind."More from Hasan Rizvi and Oracle:Connect with Hasan on LinkedIn and learn more about Oracle AI Database 26ai. Visit Cloud Wars for more.

India is the 2nd largest startup ecosystem now. But, can it be at par with Silicon Valley?With 37 years of experience in the valley, Avanish sahai believes it can. But what made Silicon Valley the ultimate startup ecosystem? It was investors, universities and an environment where people dreamed to come live and work. And, in the last 25 years India has been going through the same transformation. And the changes are nothing short of  admirable.Avanish started his career from a Mckinsey office in 1999 which ideated India's software dream,  with policy changes the country needed to lead in Technology. Since then, he's held senior roles at Oracle, Salesforce, ServiceNow, and Google Cloud, and served on HubSpot's board through its journey from $500M to $2B.Avanish talks with great passion about startups that are disrupting the world today, taking lessons from small companies that took over legends who were believed to be indestructible. Even with all the hype around AI, Avanish reminds us that ultimately it's all about people. 0:00 – Trailer1:13 – 37 years in Silicon Valley2:33 – McKinsey's “Vision 2020” for India (in 1980)7:30 – When only $8 was allowed for migrants to the U.S.?9:48 – “India is the ultimate definition of a startup ecosystem”11:30 – How openness to the world has changed India13:08 – India's tech stack should go global14:09 – Why “India is hot” right now17:41 – Global disruptors building for the world19:48 – Think big and fail often24:09 – HubSpot: Single product → multi-product → platform27:11 – How today's startups can compete with legends30:45 – Salesforce had APIs from day one (in 1999)35:51 – How AI is redefining Legends vs. startups41:51 – Life as a Stanford DCI fellow42:53 – How should the world adapt for 20–25 extra years?45:29 – How to spot the right wave and players in Career45:16 – Get mentors, stay curious, and take risks48:00 – Why it's still all about PEOPLE51:53 – How AI could disrupt vertical SaaS industries-------------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

What if business intelligence didn't stop at answering what happened, but could finally explain why? In this episode of Tech Talks Daily, I sit back down with Alberto Pan, Chief Technology Officer at Denodo, to unpack how Deep Query is redefining enterprise AI through reasoning, transparency, and context. We explore how Deep Query functions as an AI reasoning agent capable of performing open-ended research across live, governed enterprise data. Instead of relying on pre-built dashboards or static reports, it builds and executes multi-step analyses through Denodo's logical data layer, unifying fragmented data sources in real time. Alberto explains how this semantic layer provides the business meaning and governance that traditional GenAI tools lack, transforming AI from a surface-level Q&A system into a trusted analytical partner. Our conversation also digs into the bigger picture of explainable AI. Deep Query reports include a full appendix of executed queries, allowing users to trace every insight back to its source. Alberto breaks down why this level of auditability matters for enterprise trust and how Denodo's support for the Model Context Protocol (MCP) opens the door to more interoperable, agentic AI systems. As we discuss how Deep Query compares with RAG models and data lakehouses, Alberto offers a glimpse into the future of business intelligence—one where analysts become guides for AI-driven research assistants, and decision-makers gain faster, deeper, and more transparent insights than ever before. So what does the rise of reasoning agents like Deep Query mean for the next generation of enterprise AI? And how close are we to a world where AI truly understands the why behind the data? Tune in and share your thoughts after listening.   Tech Talks Daily is Sponsored by NordLayer: Get the exclusive Black Friday offer: 28% off NordLayer yearly plans with the coupon code: techdaily-28. Valid until December 10th, 2025. Try it risk-free with a 14-day money-back guarantee.

Welcome back to Trending in Education! This week, we dive headfirst into the accelerating world of emerging technology with Gerry White, Dean of Academic Technology for ECPI University. Gerry, an English and Music major turned tech enthusiast, shares his fascinating career trajectory and the work he is doing to keep ECPI University at the forefront of the AI revolution. We explore the current landscape of AI in higher education, noting the split between institutions that forbid its use (even reverting to blue books and oral exams) and those that are running with the technology. Gerry advocates for integrating AI responsibly, modeling its use for students, and leveraging it as a powerful tool for deeper critical thinking and better writing. We also discuss the very real dangers of over-reliance—the "training wheels problem"—where students risk losing critical thinking skills and agency by letting the AI write for them. For Gerry, the loss of human agency is perhaps the biggest threat posed by this new technology. Finally, we shift into the sci-fi lane as Gerry shares details about his recent science fiction novel, Edge of Control, which explores the dystopian possibilities of an integrated, unregulated Enterprise AI. We wrap up with practical advice for listeners to start experimenting with AI tools like ChatGPT and Gemini, and look ahead at the next horizon: Augmented Reality (AR) glasses that integrate with AI.

What makes a great venture capitalist — luck, timing, or the ability to see what others miss?Brij Bhushan (Prime Venture Partners) and Pratik Poddar (Nexus Venture Partners) talk about the long game of venture capital; the waiting, the lessons hidden in mistakes, and the emotional ride of backing founders through years of uncertainty.With Pratik, we dive into some of the biggest names in the Nexus portfolio: his first meeting with Rapido's founder before he even joined Nexus, the Meesho pitch that became a big miss, and his first call with Zepto's founders. Nexus was one of Zepto's earliest investors and has backed the company in every round since. Pratik speaks with great clarity about conviction, timing, and what truly defines great investing.Brij reflects on his decade of building Magicpin, what it means to “build the same company three times,” and how that journey reshaped the way he now works with founders. Having lived through the chaos of scaling, near-failure, and reinvention, he brings the founder's perspective back into venture capital.Together, Brij and Pratik capture the essence of the VC game — how the industry is evolving, why consensus rarely creates outliers, how real decisions are made inside funds, and why the best founders often seem “too early” rather than too late. We talk about everything that shapes a VC's everyday life, and above all why Brij and Pratik believe it's still the best job in the world.0:00 – Trailer01:59 – Biggest learnings from 10 years as a VC05:00 – Rapido as a counterintuitive bet06:49 – Meesho was a big miss10:20 – Why Venture capital is the best job?12:35 – Every meeting could be life-changing14:54 – Knowing you are NOT in an Operating role16:55 – How often are VCs wrong about market size?18:58 – Where to invest in Consumer companies?25:33 – How consumer VCs bet on behavior change27:12 – Is e-commerce truly built for young users?28:10 – How do Investors deal with Bias?30:04 – Are VCs only remembered for success stories?37:45 – Why good deals rarely come from Consensus?39:24 – The first call with Zepto's founders41:10 – How often do you meet truly exceptional founders?43:45 – Should VCs react to market shifts?46:42 – How long VC's take to make an investment decision?50:53 – How founders should approach fundraising54:27 – Can India produce 50 decacorns in the next few years?55:51 – Best way to play VC game is to have right fund size56:42 – Not Knowing is a pre-requisite for a VC1:00:41 – Exceptional founders have this superpower1:02:02 – Where Indian founders have a real edge1:05:14 – Building AI in India: local maxima or global maxima?1:09:00 – When will Indian Co's acquire Indian startups for $Billions?1:11:55 – Why Zomato & Swiggy aren't true Consumer Co's?-------------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/siddharthaa7Send us a text

On this episode of the Scouting For Growth podcast, Sabine VdL talks to Ulrich (Uli) Homann, Corporate Vice President, Microsoft, and Mark Luquire, EY Global Microsoft Alliance Co-innovation Leader, about how to build an agentic AI enterprise that doesn't just work faster, but works smarter and, most importantly, works for everyone. KEY TAKEAWAYS In the past automation has been very task driven and specific, things had to go in a certain order and you needed to know that order ahead of time. While you need some of that with generative AI, we now have a system that can help do some of that thinking, so if things change in the process along the way, you can deal with it. Now you can rethink what processes even need to exist and focus on the outcome and how to get to it in a new way.  By giving everyone at EY access to generative AI a couple of years ago we learned that people were able to accomplish more more quickly. They used it as a thought-partner, used it as a way to fine tune the product they were working on. Being able to see the evolution of generative AI to now where it's coding applications on its own almost, seeing the new agent capabilities and tools, and being able to take action on its own with very little prompting, it opens the doors to possibilities and what you'll be able to do in the future.  BEST MOMENTS  ‘Focus on where you want to be and then rethink how you're going to get there, that's the real key.' ‘It's not just an assistant to you, providing you with information, it's actually taking on work it's actually thinking through and processing those things as well.' ABOUT THE GUESTS Ulrich (Uli) Homann is a Corporate Vice President & Distinguished Architect in the Cloud + AI business at Microsoft. As part of the senior engineering leadership team, he's responsible for the customer-led innovation efforts across the cloud and enterprise platform portfolio. Previously Homann was the Chief Architect for Microsoft worldwide enterprise services, having formerly played a key role in the business' newly formed Platforms, Technology and Strategy Group. Prior to joining Microsoft in 1991, he worked for several small consulting companies, where he designed and developed distributed systems and has spent most of his career using well-defined applications and architectures to simplify and streamline the development of business applications. Mark Luquire leads the EY organization's global efforts to co-develop innovative solutions with Microsoft and clients, driving growth and accelerating technology strategy. He oversees cross-functional teams spanning sectors and service lines, serving as a key liaison to Microsoft's product and engineering teams. Previously, Mark headed Platform Adoption for EY Global, leading enterprise-wide AI and cloud enablement, including integrating generative AI tools like EYQ, GitHub Copilot and Microsoft Copilot. He also created the first EY Global DevOps Practice and led cloud transformation efforts, making EY a leader in Microsoft Azure usage. Mark's career includes leadership roles in large healthcare enterprises and technology startups, where he established scalable operations, spearheaded digital transformation, and built high-performing global teams. ABOUT THE HOST Sabine is a corporate strategist turned entrepreneur. She is the CEO and Managing Partner of Alchemy Crew a venture lab that accelerates the curation, validation, & commercialization of new tech business models. Sabine is renowned within the insurance sector for building some of the most renowned tech startup accelerators around the world working with over 30 corporate insurers, accelerated over 100 startup ventures. Sabine is the co-editor of the bestseller The INSURTECH Book, a top 50 Women in Tech, a FinTech and InsurTech Influencer, an investor & multi-award winner. Twitter LinkedIn Instagram Facebook  TikTok Email Website This Podcast has been brought to you by Disruptive Media. https://disruptivemedia.co.uk/

As agentic AI becomes a defining force in enterprise innovation, infrastructure has moved from a back-office concern to the beating heart of business transformation. On today's episode of the 'AI in Business' podcast, Ranjan Sinha, IBM Fellow, Vice President, and Chief Technology Officer for watsonx and IBM Research, joins Emerj Editorial Director Matthew DeMello to discuss the future of scalable AI infrastructure — from neuromorphic and quantum processing to open-source AI platforms built for trust and governance. Ranjan explains how enterprises are transitioning from isolated experiments to mission-critical AI applications, revealing why today's Fortune 500 leaders must reimagine compute, governance, and data pipelines to sustain automation and reliability at scale. He details IBM's breakthroughs in specialized processors, including the NorthPole neuromorphic chip and the company's roadmap for fault-tolerant quantum computing by 2029. 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! If you've enjoyed or benefited from some of the insights of this episode, consider leaving us a five-star review on Apple Podcasts, and let us know what you learned, found helpful, or liked most about this show! Watch Matthew and Ranjan's conversation on our new YouTube Channel: youtube.com/@EmerjAIResearch.

When RateGain went public, it made history as India's first SaaS listingFounder Bhanu Chopra talks about what went into that call, how investors saw it, and what it revealed about the Indian capital market. He shares how RateGain built its global presence before turning to India, and why he bet big on a $250 million acquisition.Today, travel is changing faster than ever with travellers planning differently, hotels pricing dynamically, and APAC leading the global recovery. Bhanu breaks down how RateGain powers this, from AI that talks directly to hotels and travellers, to India's hospitality industry that aims to grow 100% every year.Valued at nearly $1Billion with over $120 million in annual revenue, RateGain counts some of the biggest names in travel among its customers including Airbnb, makemytrip, Marriott, Hyatt, IHG, Expedia, and Booking.com. From taking RateGain from zero to IPO and growing revenue tenfold in a decade, Bhanu's journey offers a grounded view of what it takes to build companies that last. This episode is about more than travel or tech, it's about how India's next generation of founders can think global.0:00 — Trailer1:00 — How RateGain became India's first SaaS IPO6:31 — Was India ready for a SaaS IPO?7:31 — The $250M acquisition that cost 25% of market cap10:58 — Why Indian SaaS is listing locally14:48 — Travel is booming in APAC15:34 — RateGain's business Explained19:09 — AI that talks to consumers and hotels21:00 — Building a billion-dollar company is totally possible23:03 — Why the hotel industry is too complex for LLMs25:40 — $300M of $7.5B TAM26:45 — Indian hotel chains aims to grow at 100%29:39 — Travel trends across the US, Europe and APAC32:25 — How travel behaviour changed after COVID?33:34 — The 0→1, 1→10 and 10→100 journey37:57 — What growth means to Bhanu as a founder-------------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

Secure the Future of Multifamily AI As AI adoption rapidly advances in the multifamily industry, the importance of governance, security, and data integrity has never been greater. Don’t miss the next Multifamily Talks Live session, where Krista Hurley, Industry Principal at RealPage, will host an insightful discussion with Lance French, Chief Information Officer at RealPage, and Kris Kimmerle, VP, AI Risk and Governance at RealPage. Together, they’ll explore how multifamily leaders are navigating the steep AI value curve while protecting their operations and data. Key takeaways include: The critical role of governance and security in scaling AI for enterprise-class value. How to balance innovation with risk management to protect residents, properties, and profitability. Actionable strategies for building a secure, data-driven foundation for AI adoption. This is your chance to learn how to confidently embrace AI while maintaining the integrity and trust that your business and residents depend on. Connect with Lance, Kris and Krista on LinkedIn for more expert insights!

Secure the Future of Multifamily AI As AI adoption rapidly advances in the multifamily industry, the importance of governance, security, and data integrity has never been greater. Don’t miss the next Multifamily Talks Live session, where Krista Hurley, Industry Principal at RealPage, will host an insightful discussion with Lance French, Chief Information Officer at RealPage, and Kris Kimmerle, VP, AI Risk and Governance at RealPage. Together, they’ll explore how multifamily leaders are navigating the steep AI value curve while protecting their operations and data. Key takeaways include: The critical role of governance and security in scaling AI for enterprise-class value. How to balance innovation with risk management to protect residents, properties, and profitability. Actionable strategies for building a secure, data-driven foundation for AI adoption. This is your chance to learn how to confidently embrace AI while maintaining the integrity and trust that your business and residents depend on. Connect with Lance, Kris and Krista on LinkedIn for more expert insights!

How do the best CEOs think, prepare, and leave a lasting legacy? Shiv Shivakumar, former CEO of PepsiCo and Nokia reflects on decades of leading some of the most iconic companies. He shares insights on what makes a great leader, from the mindset required to the qualities that define people with a fighter's instinct.Shiv explains why commitment and curiosity often matter more than degrees or pedigrees, and why only about 7% of those who aspire to be CEOs actually become one. He also discusses how to navigate co-founder disagreements, knowing when a company needs you, and how to hire the right people for lasting impact.Through stories from his own journey leading companies across sectors, Shiv highlights why unit economics, honest market sizing, and investing in innovation rather than cutting prices are critical for founders. He also emphasizes the importance of understanding culture, asking the right questions, and building trust in shaping a company's success.Whether you are an aspiring founder, a manager, or simply curious about how leadership works in practice, this conversation with one of India's most experienced CEOs is for you.0:00 – Trailer0:55 – 3 qualities of people with a fighter's instinct2:40 – The biggest sin of a CEO: Past forward5:51 – How a CEO of 20 years prepare using data?7:56 – Why the information pyramid today is upside down8:55 – If it doesn't surprise competition, it's waste of time9:53 – The art of asking great questions10:28 – Brands shouldn't age: keep your core, but stay relevant12:28 – Why Shiv calls himself a Brand person?13:40 – Rich buy brands for vanity, poor for security15:03 – Manyavar: Nationalism reflected in buying choices17:15 – The Suta story18:10 – Clothing Industry is waiting for innovations19:28 – Brand person vs. Manufacturing person21:27 – Why only 7% become CEOs23:08 – CEOs Shiv admires23:47 – Be the best prepared person in any room24:09 – Always stress-test your assumptions25:04 – Sending letters to great professors of the 90s29:32 – Opportunities in India vs. abroad36:59 – Understand culture before joining any company40:11 – What young people should expect from work?41:04 – People who leave a legacy42:49 – How to hire the right people?45:43 – Be a full-number, not decimal-point manager46:25 – Never hire for degree or background48:54 – Building relationships for the company's interest51:07 – How co-founders should handle disagreements?52:56 – Be honest about your addressable market54:00 – Founders overestimate idea, underestimate rigour54:30 – ID Fresh: Founder & Opportunity57:06 – The business model in publishing needs to change58:58 – Is ghostwriting alright?1:02:00 – The old model of distribution: Nokia Story1:04:09 – Why CEOs should work across industries?1:09:12 – When you need the company vs. when it needs you1:15:31 – Future hiring: soft skills first, train hard skills-------------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:Send us a text

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

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

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

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

How do you know whether an iOS app you have built has potential to be big? Getting an email from Steve Jobs is probably a strong indicator.Ashish Toshniwal, founder of 10Kr and YML (Y Media Labs), started by trying a bit of everything: classifieds, Groupons, and Facebook apps. That email made him quit his job, but as Ashish says, it took him and YML 14 years to become an overnight success. YML helped businesses go mobile-first long before it became a buzzword, with over 45 Fortune 500 clients including Apple, PayPal, Meta, and Disney. Along the way, Ashish shares the real decisions every founder faces, such as when to take VC money, when to sell, and how to think about repeat business. He also reflects on turning down opportunities like Credit Karma equity (now worth $7billion), showing the tough choices early-stage founders make just to survive and keep their business running.This is a story about timing, focus, and conviction, and what happens when you build something real: from Calcutta to Silicon Valley, one decision at a time.0:00 – Trailer03:24 – How the Co-founders met05:28 – The first 3 ideas: Classifieds, Groupons & Facebook apps06:30 – An email from Steve Jobs made Ashish quit his Job07:59 – Building apps when App Store launched (Apple as a client too)09:20 – YML was famous but not profitable10:07 – Becoming the “app guys” of Silicon Valley11:56 – The pivot: Stick with products or move to services?13:43 – 6 acquisition offers on the table: Sell or not?16:57 – The first exit: 60% acquired at $60M18:38 – “We'd never seen that kind of money”19:26 – IOS engineering was like AI engineering20:13 – “If we don't have repeat business, we don't have business”22:09 – Silicon valley is not a zipcode, it's a mindset23:54 – Clients came for design, stayed for engineering26:11 – Does motivation change when equity shrinks?29:01 – Firing and re-hiring yourself as founder CEO30:50 – Why the final decision to sell YML was made32:55 – The golden window of mobile34:26 – Could YML have been a billion-dollar company?37:34 – Turning down Credit Karma equity: now worth $7B38:39 – Why CEOs are like travel agents41:50 – Why Ashish invested in Neon44:22 – What wealth truly enables47:36 – Investing early in Tesla, Nvidia, and Meta49:07 – Why founder-led companies outperform in public markets50:54 – It's easy to build products, harder to build real businesses52:44 – If your product isn't 10x better than ChatGPT, you have no chance53:04 – The future of jobs: 5 roles merging into 2 with agents on top57:25 – ChatGPT will not go after human-in-the-loop59:35 – The first real challenge to Google's dominance1:01:59 – Building AI agents that do real work is incredibly hard-------------India's talent has built the world's tech—now it's time to lead it.This mission goes beyond startups. It's about shifting the center of gravity in global tech to include the brilliance rising from India.What is Neon Fund?We invest in seed and early-stage founders from India and the diaspora building world-class Enterprise AI companies. We bring capital, conviction, and a community that's done it before.Subscribe for real founder stories, investor perspectives, economist breakdowns, and a behind-the-scenes look at how we're doing it all at Neon.-------------Check us out on:Website: https://neon.fund/Instagram: https://www.instagram.com/theneonshoww/LinkedIn: https://www.linkedin.com/company/beneon/Twitter: https://x.com/TheNeonShowwConnect with Siddhartha on:LinkedIn: https://www.linkedin.com/in/siddharthaahluwalia/Twitter: https://x.com/siddharthaa7-------------This video is for informSend us a text

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

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

Jay Vijayan, founder of Tekion, and Tesla's former CIO, has one of the most remarkable careers in technology and automotive.Jay joined as CIO when Tesla had almost no revenue and stayed through its growth to $5 billion ARR and $35 billion market cap. Elon Musk brought him in to build Tesla's own ERP system at a time when most companies would have chosen ready-made solutions like SAP or Oracle.Today, Jay leads Tekion, a company valued at over $4 billion that has raised more than $640 million and has companies like GM, BMW, Hyundai, and Exor as both customers and investors.Jay talks about how Tekion is rethinking the experience of buying & servicing cars connecting dealers, manufacturers, and partners on one platform. He explains why the company spent four years building its first product, why they acquired real dealerships to understand the business end-to-end, and what it takes to build tech for such a complex industry.This conversation is about building deep, meaningful products, making hard choices early, and maintaining focus when the world is moving too fast.00:00 – Trailer02:42 – What value Tekion brings to the automotive industry?03:56 – Enabling dealers with car buying and servicing05:41 – Helping manufacturers connect all customer touchpoints07:02 – Supporting partners across loans and financing07:34 – What was the industry like before Tekion?09:37 – Why Tekion spend 4 years in stealth mode11:50 – Acquiring dealerships to study the product end-to-end16:38 – Should vertical SaaS companies invest in sector businesses?20:30 – Stay Informed, but don't get swayed by trends22:57 – Why Subscription model didn't work for cars25:30 – How can founders navigate overhyped trends safely?26:22 – Differentiation in AI: solving valuable, sticky problems28:24 – Every business function should have an AI agent30:31 – How can AI agents improve car servicing?32:56 – When customers turn investors36:58 – Why experts opposed acquiring dealerships?40:08 – Why build an ERP backend as an early stage company?44:21 – Do not outsource core customer functions46:37 – Taking on a failed family business51:38 – Paying off huge debt over 10+ years55:21 – When seed investors get a 400x growth58:06 – What is the right attitude early in your career?-------------India's talent has built the world's tech—now it's time to lead it.This mission goes beyond startups. It's about shifting the center of gravity in global tech to include the brilliance rising from India.What is Neon Fund?We invest in seed and early-stage founders from India and the diaspora building world-class Enterprise AI companies. We bring capital, conviction, and a community that's done it before.Subscribe for real founder stories, investor perspectives, economist breakdowns, and a behind-the-scenes look at how we're doing it all at Neon.-------------Check us out on:Website: https://neon.fund/Instagram: https://www.instagram.com/theneonshoww/LinkedIn: https://www.linkedin.com/company/beneon/Twitter: https://x.com/TheNeonShowwConnect with Siddhartha on:LinkedIn: https://www.linkedin.com/in/siddharthaahluwalia/Twitter: https://x.com/siddharthaa7-------------This video is for informational purposes only. The views expressed are those of the individuals quoted and do not constitute professional advice.Send us a text

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

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

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

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

Switzerland has quietly built one of the world's most stable and trusted startup ecosystems.Thomas Dübendorfer, founder and president of SICTIC, Switzerland's largest angel investing network with over 500 members and more than 400 startups joins Neon show.Thomas talks about how Switzerland's startup scene has changed over the past decade from a cautious investor community to one that now has 58 unicorns across sectors like fintech, AI, crypto, and deeptech. He explains what Switzerland is doing in AI and commercial research, why a $900 billion economy still invests only $4 billion in startups, why most exits happen through acquisitions rather than IPOs, how Zurich and Bengaluru can build stronger startup ties and what India can learn from a country that builds quietly. Thomas also shares his own journey: leaving Google, building nine startups (three acquired), and backing over 40 founders as an angel investor. This episode is a rare inside look at how Switzerland, at the intersection of centuries-old wealth and technology, is building a strong innovation ecosystem.00:00 – Trailer01:07 – How has the Swiss startup ecosystem evolved over 12 years? 03:36 – Why a $900B economy draws only $4B in startup funding 04:35 – What is Switzerland known for around the world? 05:12 – The lesser-known Unicorns 07:12 – How can Zurich and Bengaluru build stronger startup ties? 10:39 – Swiss institutions that are built to last 11:24 – Building a strong nation among powerful neighbors 12:32 – Alfred Escher: The founder of ETH Zurich 12:57 – How Gotthard Tunnel shaped Swiss finance and engineering 13:49 – Top companies that define Switzerland today 16:15 – What is Switzerland doing in AI? 18:49 – What are the exit routes for Swiss startups: IPOs or acquisitions? 20:19 – Why Zurich has a high concentrations of family offices 22:44 – Where Switzerland stands in Europe's startup landscape 24:16 – Why build companies when you can just fund them? 27:26 – How Thomas chose his 40 angel investments 28:57 – What do the Swiss think about the Indian startup ecosystem?-------------India's talent has built the world's tech—now it's time to lead it.This mission goes beyond startups. It's about shifting the center of gravity in global tech to include the brilliance rising from India.What is Neon Fund?We invest in seed and early-stage founders from India and the diaspora building world-class Enterprise AI companies. We bring capital, conviction, and a community that's done it before.Subscribe for real founder stories, investor perspectives, economist breakdowns, and a behind-the-scenes look at how we're doing it all at Neon.-------------Check us out on:Website: https://neon.fund/Instagram: https://www.instagram.com/theneonshoww/LinkedIn: https://www.linkedin.com/company/beneon/Twitter: https://x.com/TheNeonShowwConnect with Siddhartha on:LinkedIn: https://www.linkedin.com/in/siddharthaahluwalia/Twitter: https://x.com/siddharthaa7-------------This video is for informational purposes only. The views expressed are those of the individuals quoted and do not constitute professional advice.Send us a text

The Information's Anissa Gardizy talks with TITV Host Akash Pasricha about OpenAI's ambitious plan to deploy 10 gigawatts of custom AI chips in partnership with Broadcom. We also talk with AWS CMO Julia White about the company's new suite of enterprise AI tools, QuickSuite, and the growing traction of its in-house Trainium chips. We get into how tech giants like Salesforce and Microsoft are challenging Google and Amazon in the ad tech space with our advertising reporter Catherine Perloff and Tau Marketing Solutions' Robert Webster. Lastly, we explore the rise of real-world asset tokenization with Securitize CEO Carlos Domingo.Articles discussed on this episode:https://www.theinformation.com/articles/ai-ad-tech-land-grab-pits-salesforce-google-microsoft-amazonhttps://www.theinformation.com/briefings/nvidia-announces-chip-design-deal-broadcomTITV airs on YouTube, X and LinkedIn at 10AM PT / 1PM ET. Or check us out wherever you get your podcasts.Subscribe to: - The Information on YouTube: https://www.youtube.com/@theinformation4080/?sub_confirmation=1- The Information: https://www.theinformation.com/subscribe_hSign up for the AI Agenda newsletter: https://www.theinformation.com/features/ai-agenda

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

Breaking: Google just released Gemini Enterprise.

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

Ever received a push notification on your phone? There's a good chance it came through MoEngage.Raviteja Dodda, founder of MoEngage, shares the story of building a SaaS company from India that now sends 80 billion messages to 2 billion users across 1,200 brands. A decade-long  journey of MoEngage from its early years to becoming a category leader in customer engagement. He shares how the company grew by focusing on Indian customers as the strongest validation of product-market fit, before expanding globally by building regional teams with autonomy and hiring people with a founder's mindset to navigate new markets.Ravi also shares the why behind differences in pricing between US and Indian customers (think Swiggy vs DoorDash) and how revenue margins vary when selling in India versus abroad.Whether you're curious about the software powering some of the most familiar brands and apps we use every day, or want a behind-the-scenes look at how MoEngage built an $800M global SaaS business from India,then this episode is for you.0:00 – Trailer1:12 – Founder of software powering messages to 2B Users3:50 – Building one of India's first mobile apps8:49 – Acquiring India's top consumer Internet companies10:12 – Mobile → online → offline: Covering all touchpoints13:19 – How MoEngage became a category leader16:52 – Customer support is extremely rewarding in India24:12 – Reasons for Pricing gap: Swiggy vs. DoorDash27:55 – Revenue margins: India vs. abroad28:30 – Moving OLA from internal solution to Moengage29:54 – Key milestones in MoEngage's journey32:32 – Revenue split across customers33:37 – GTM to take a product built in India global41:19 – Why MoEngage should've entered Europe earlier43:51 – Middle East as the fastest-growing market44:21 – People who create v/s people who execute playbooks50:05 – How to sign large global customers from India?52:54 – Spotting early adopters in new markets55:59 – Can new companies win in mature categories?59:13 – MoEngage's position in AI1:01:54 – Building a $10M ARR SaaS: US vs. India1:03:57 – Scale in India first or go US on Day 0?1:08:45 – MoEngage's IPO timeline1:10:05 – Most exciting SaaS companies from India1:14:11 – Regional teams as mini-startups1:16:51 – What worked for MoEngage in fundraising?-------------India's talent has built the world's tech—now it's time to lead it.This mission goes beyond startups. It's about shifting the center of gravity in global tech to include the brilliance rising from India.What is Neon Fund?We invest in seed and early-stage founders from India and the diaspora building world-class Enterprise AI companies. We bring capital, conviction, and a community that's done it before.Subscribe for real founder stories, investor perspectives, economist breakdowns, and a behind-the-scenes look at how we're doing it all at Neon.-------------Check us out on:Website: https://neon.fund/Instagram: https://www.instagram.com/theneonshoww/LinkedIn: https://www.linkedin.com/company/beneon/Twitter: https://x.com/TheNeonShowwConnect with Siddhartha on:LinkedIn: https://www.linkedin.com/in/siddharthaahluwalia/Twitter: https://x.com/siddharthaa7-------------This video is for informational purposes only. The views expressed are those of the individuals quoted and do not constitute professional advice.Send us a text

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

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

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

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

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