Podcasts about Databricks

Send us a text00:00 - Databricks Targets $100b in New Round08:42 - Canva Launches Tender at $42b Valuation15:27 - Eight Sleep Raises $100m at $1.5bNick Fusco = CEO at PM Insights, a pre-IPO secondary market pricing company…X - @TheFuscoKid…LinkedIn - www.linkedin.com/in/nickfuscoEvan Cohen = Founder/COO of withVincent.com, a media company focused on alternative investments…X - @evvcohen…LinkedIn - www.linkedin.com/in/evcohenClint Sorenson = Chief Investment Officer at WealthShield, an outsourced CIO and investment research company…X - @clint_sorenson…LinkedIn - www.linkedin.com/in/csorensoncfacmtAaron Dillon = Managing Director of AG Dillon Funds, pre-IPO stock investing for RIAs…X - @AaronGDillon…LinkedIn - www.linkedin.com/in/aarondillonnyc

At the EUVC Summit 2025, Mehmet Atici from Bek Ventures aimed a popular narrative—that Europe is underperforming as a tech region. Not because it's untrue, but because it's incomplete.“Yes, there's catching up to do. But you can't argue there's no dynamism in Europe—it's just not evenly distributed.”And once you look closer, the picture changes fast.Much of the “Europe must act” discourse comes from the continent's largest economies—France, Germany, and the UK. But productivity data tells a different story:Poland and Bulgaria are growing steadily.Ecosystems in Tallinn, Lisbon, and Barcelona are booming—fueled in part by digital nomad visas.Eastern European founders are making waves well beyond their borders—with names behind global giants like Databricks and Snowflake.“Building a business isn't a lifestyle choice for them. It's a global ambition from day one.”These founders bring international exposure, capital efficiency, and hunger—without the insular networks that often define more mature markets.Sure, improving regulation—around stock options, company formation, or funding incentives—helps. But as Mehmet put it:“That's medicine without a proper diagnosis.”The bigger issue isn't operational—it's strategic positioning.The U.S. remains the most attractive market: a single language, deeper capital markets, and cultural cohesion.Europe's software market is just 23% of global share, compared to 43% in North America.So even if we fix the mechanics, the gravitational pull of the U.S. won't go away. And in some cases, a European identity may actually slow access to that market—not speed it up.What if fragmentation wasn't our weakness—but our untapped advantage?“The most thriving tech ecosystems are the most politically cohesive—because they serve founders, not flags.”Europe doesn't need to copy the U.S. to succeed. It needs to recognize excellence wherever it emerges, connect the dots, and support founders wherever they're starting from.In Mehmet's words:“Our opportunity is to transcend borders—not erase them.”“Let's not forget: the original EU model was ‘United in Diversity.'”It wasn't a flaw. It was a feature.Europe's next wave of global founders may not come from the centers you expect—but they're already building. Our job is to back them, bridge them, and help them win on a global stage.Let's get to it.Not Just Paris, London, BerlinEurope's Problem Isn't Just PolicyFrom Fragmentation to SuperpowerThe Original European Model Still Applies

Send us a text00:00 - Intro00:54 - Databricks Targets $100b in New Round01:53 - Canva Launches Tender at $42b Valuation02:49 - Crusoe Eyes $1b Raise at $10b Valuation03:27 - Anthropic Doubles Raise to $10b at $170b04:15 - Eight Sleep Raises $100m at $1.5b04:47 - Manus Hits $90m ARR in 6 Months05:17 - Anduril Sponsors Ohio State Athletics06:18 - Stripe / MetaMask Launch mUSD Stablecoin

Agenda: 00:00 – Databricks hits $100B: Bubble or just the beginning? 03:15 – Is Databricks actually undervalued at 25x revenue? 07:40 – Are we on the verge of the biggest IPO wave ever? 11:30 – Can Andreessen's Databricks bet return $30B+? 18:10 – Who really gets rich when mega-unicorns IPO? 19:30 – Is the return of Chamath's SPACs the ultimate bubble signal? 28:00 – Should OpenAI staff be cashing out billions in secondaries? 33:30 – Founder raises $130M… then walks away. Is this the new normal? 36:30 – Nubank's $2.5B profit: The best FinTech in the world? 48:00 – On Running at $15B: Can consumer brands still be VC-backed rockets? 52:00 – CoreWeave takes on $11B in debt: smart bet or ticking time bomb? 1:11:00 – Will AI spend really hit trillions—or is it all hype?  

Today's show:In this TWiST 500 double feature, Alex sits down with two breakout founders: Chalk's Marc Freed-Finnegan & Tollbit's Toshit Panigrahi!First, Chalk's CEO Marc Freed-Finnegan is tackling one of AI's biggest bottlenecks—data freshness. Instead of relying on stale batch jobs, Chalk delivers real-time pipelines for inference compute, automatically transpiling Python into C++/Rust so it can run blazing fast in production. Investors are calling it the ‘next Databricks'—and after hearing this convo, you'll see why.Then, Tollbit's CEO Toshit Panigrahi returns after raising a $24M Series A and signing up 1,400+ publishers. With RAG traffic exploding and robots.txt losing its teeth, their ‘bot paywall' could reshape how AI agents pay for the content they consume. Are we heading for a Spotify moment for data licensing?A must-watch if you care about the economics of AI, from data pipelines to publisher monetization.Timestamps:(0:00) Intro + sponsors(1:03) Alex tees up two Twist 500 interviews: Chalk & Tolbert(2:47) Why AI is shifting from training compute to inference compute(4:41) Data freshness & real-time inference explained(10:43) Squarespace - Use offer code TWIST to save 10% off your first purchase of a website or domain at https://www.Squarespace.com/TWIST(12:00) How Chalk transpiles Python into C++/Rust for speed(18:52) Chalk's business model, margins & $500M valuation(20:11) Lemon.io - Get 15% off your first 4 weeks of developer time at https://Lemon.io/twist(21:24) Show Continues…(28:02) Tollbit returns: $24M Series A & the rise of RAG bot traffic(30:37) .TECH: Say it without saying it. Head to get.tech/twist or your favorite registrar to get a clean, sharp .tech domain today.(31:41) Show Continues…(36:53) Robots.txt losing relevance & the case for bot paywalls(39:19)Publishers, AI agents & the future economics of the webSubscribe to the TWiST500 newsletter: https://ticker.thisweekinstartups.comCheck out the TWIST500: https://www.twist500.comSubscribe to This Week in Startups on Apple: https://rb.gy/v19fcpFollow Lon:X: https://x.com/lonsFollow Alex:X: https://x.com/alexLinkedIn: ⁠https://www.linkedin.com/in/alexwilhelmFollow Jason:X: https://twitter.com/JasonLinkedIn: https://www.linkedin.com/in/jasoncalacanisThank you to our partners:(10:43) Squarespace - Use offer code TWIST to save 10% off your first purchase of a website or domain at https://www.Squarespace.com/TWIST(20:11) Lemon.io - Get 15% off your first 4 weeks of developer time at https://Lemon.io/twist(30:37) .TECH: Say it without saying it. Head to get.tech/twist or your favorite registrar to get a clean, sharp .tech domain today.Great TWIST interviews: Will Guidara, Eoghan McCabe, Steve Huffman, Brian Chesky, Bob Moesta, Aaron Levie, Sophia Amoruso, Reid Hoffman, Frank Slootman, Billy McFarlandCheck out Jason's suite of newsletters: https://substack.com/@calacanisFollow TWiST:Twitter: https://twitter.com/TWiStartupsYouTube: https://www.youtube.com/thisweekinInstagram: https://www.instagram.com/thisweekinstartupsTikTok: https://www.tiktok.com/@thisweekinstartupsSubstack: https://twistartups.substack.comSubscribe to the Founder University Podcast: https://www.youtube.com/@founderuniversity1916

In this episode of The Investor Professor Podcast (Ep. 172), Ryan and Cameron dive deep into the latest market movers. They break down Palantir's blockbuster earnings, Alex Karp's bold comments to short sellers, and the stock's meteoric 134% year-to-date rise. The conversation explores Palantir's growing influence as a talent magnet in tech, its valuation risks, and the competitive landscape with Databricks. The hosts also analyze Figma's roller-coaster IPO performance, the challenges of timing IPO investments, and why investor psychology plays such a crucial role in early trading dynamics.The discussion expands to CoreWeave's volatile lockup expiration, employee stock decisions, and how leverage often amplifies risk in frothy markets. Ryan and Cameron also preview upcoming earnings from Home Depot and Target—highlighting the consumer backdrop, Amazon's aggressive expansion into grocery delivery, and what it means for retail. Wrapping up, they touch on Buffett's new bets in UnitedHealth and DR Horton, Michael Burry's surprising long positions (including Mercado Libre), and how Fed policy and Jackson Hole may shape the next market leg. It's a timely mix of earnings, behavioral finance, and market insights that investors won't want to miss.*This podcast contains general information that may not be suitable for everyone. The information contained herein should not be construed as personalized investment advice. There is no guarantee that the views and opinions expressed in this podcast will come to pass. Investing in the stock market involves gains and losses and may not be suitable for all investors. Information presented herein is subject to change without notice and should not be considered as a solicitation to buy or sell any security. Rydar Equities, Inc. does not offer legal or tax advice. Please consult the appropriate professional regarding your individual circumstance.  Past performance is no guarantee of future results.

Knowledge is Eventually Consistent // MLOps Podcast #335 with Devin Stein, CEO of Dosu.Grateful to  @Databricks  and  @hyperbolic-labs  for supporting our podcast and helping us keep great conversations going.Join the Community: https://go.mlops.community/YTJoinInGet the newsletter: https://go.mlops.community/YTNewsletter// AbstractAI as a partner in building richer, more accessible written knowledge—so communities and teams can thrive, endure, and expand their reach.// BioDevin is the CEO and Founder of Dosu. Prior to Dosu, Devin was an early engineer and leader at various startups. Outside of work, he is an active open source contributor and maintainer.// Related LinksWebsite: https://github.com/devsteinhttps://www.youtube.com/watch?v=sC8aW47DqPghttps://www.youtube.com/watch?v=PuM0Gd3txfQhttps://www.youtube.com/watch?v=ah6diDQ9wywhttps://www.youtube.com/watch?v=x22FEQic8lg~~~~~~~~ ✌️Connect With Us ✌️ ~~~~~~~Catch all episodes, blogs, newsletters, and more: https://go.mlops.community/TYExploreJoin our Slack community [https://go.mlops.community/slack]Follow us on X/Twitter [@mlopscommunity](https://x.com/mlopscommunity) or [LinkedIn](https://go.mlops.community/linkedin)] Sign up for the next meetup: [https://go.mlops.community/register]MLOps Swag/Merch: [https://shop.mlops.community/]Connect with Demetrios on LinkedIn: /dpbrinkmConnect with Devin on LinkedIn: /devstein/Timestamps:[00:00] Devin's preferred coffee[00:53] Facts agent overview[03:47] Decision state detection[07:55 - 8:41] Databricks ad[08:42] Context-dependent word meanings [15:25] Fact lifecycle management[24:40] Maintaining quality documentation[30:10 - 31:06] Hyperbolic ad[31:07] Agent collaboration scenarios [38:22] Knowledge maintenance[44:10] Deployment and integration strategies[48:13] Flywheel data approach[51:54] Horror story engineering function[54:32] Wrap up

Skip The Interview Prep, Lose the Job. Here's How To Fix It I Varun Puri I CEO of Yoodli Most people treat interviews like pop quizzes. They wing it. Then wonder why they keep coming in second. Here's the thing: If  you don't rise to the occasion. You sink to the level of your practice. And even for most execs? That level can be none. Varun Puri—ex-Google, debate shark, and co-founder of Yoodli—is done watching smart people blow it because they never practiced the one thing that matters: how they sound when it counts. Yoodli isn't a coach. And, It's not “content.” It's your AI interview  sparring partner— built to catch every “um,” dodge every ramble, and turn your half-baked answers into mic-drop moments. That's why Korn Ferry, Google, Snowflake, Databricks, and use it—because nothing kills a deal faster than a boring, muddled interview.   In this episode: The painful reason brilliant execs still tank interviews The three invisible habits that scream “don't hire me” How to stack 15,000 practice reps without begging for anyone's time Why public speaking fear beats fear of death (and what to do about it) What actually changes when feedback is instant and can't be ignored Listen now. Or keep losing to the person who did.

Private tech companies going public have accelerated in recent months, seen in debuts like CoreWeave (CRWV) and Circle (CRCL). Christian Munafo talks about what's driving the pace in demand for tech IPOs and why larger companies like SpaceX and Databricks are taking their time. He adds that mega caps like Alphabet (GOOGL) and Microsoft (MSFT) are continually searching for innovation, and Christian says they often pluck companies from the IPO basket.======== Schwab Network ========Empowering every investor and trader, every market day. Subscribe to the Market Minute newsletter - https://schwabnetwork.com/subscribeDownload the iOS app - https://apps.apple.com/us/app/schwab-network/id1460719185Download the Amazon Fire Tv App - https://www.amazon.com/TD-Ameritrade-Network/dp/B07KRD76C7Watch on Sling - https://watch.sling.com/1/asset/191928615bd8d47686f94682aefaa007/watchWatch on Vizio - https://www.vizio.com/en/watchfreeplus-exploreWatch on DistroTV - https://www.distro.tv/live/schwab-network/Follow us on X – https://twitter.com/schwabnetworkFollow us on Facebook – https://www.facebook.com/schwabnetworkFollow us on LinkedIn - https://www.linkedin.com/company/schwab-network/ About Schwab Network - https://schwabnetwork.com/about

On the latest episode of the Financial Samurai podcast, I sat down with Ben Miller, cofounder and CEO of Fundrise, for a deep dive into AI, venture capital, and what it really takes to get into the best deals. Key Takeaways from the Podcast 1. AI Growth and Market Dynamics Revenue growth is accelerating in big AI companies like Anthropic. There's an AI benchmarking race where many products seem similar, but differentiation still matters—Ben Miller doesn't believe AI is a commodity at all. The biggest AI players continue to extend their lead, creating a “winner-take-most” dynamic. 2. Venture Capital Strategy and Concentration How much concentration is acceptable in a venture fund: up to 50% of the portfolio can be concentrated in just two companies. Importance of building a pipeline (“bench”) of potential giants like OpenAI, Anthropic, and Databricks. Leveraging scouts in key hubs like San Francisco to source the next wave of private growth companies. 3. Valuation and Economic Concepts Growth-Adjusted Revenue Multiple as a more nuanced valuation approach for high-growth companies. Baumol Effect – rising costs in labor-intensive sectors despite limited productivity gains, and how this might influence AI adoption and consumer behavior. 4. Access and Allocation Challenges Figma IPO: Allocation was difficult even for well-connected investors; demand for strong growth companies far outstrips supply. Innovation Fund's approach: invested in 6 of the top 50 companies on the CNBC Disruptor list. The battle of connections and wealth—strong networks often determine who gets into the best deals. See related post:  The Futility Of Chasing Allocation In A Hot IPO Company 5. Strategic Advantages for Investors Directing a 2M+ user base to both invest in and use portfolio company products (examples: Ramp, Flywheel) as a growth driver. Using product adoption to create a feedback loop of higher valuations and more capital access. 6. Macro Perspectives on AI China's optimistic, aggressive push into AI contrasts with America's more cautious and sometimes pessimistic stance. Why I'm personally increasing my allocation to AI—both as a long-term growth opportunity and as a hedge against missing the next big wave. Invest in Private Growth Companies With Fundrise Companies are staying private longer, which means more gains go to early private investors rather than the public. If you don't want to fight in the IPO “Hunger Games” for scraps, consider Fundrise Venture. About 80% of the Fundrise venture portfolio is in artificial intelligence—an area I'm extremely bullish on. In 20 years, I don't want my kids asking why I ignored AI when it was still early. The investment minimum is just $10, compared with $200,000+ for most traditional venture funds (if you can even get in). You can also see exactly what the fund holds before you invest, and you don't need to be an accredited investor. Subscribe To Financial Samurai  Pick up a copy of my USA TODAY national bestseller, Millionaire Milestones: Simple Steps to Seven Figures. I've distilled over 30 years of financial experience to help you build more wealth than 94% of the population—and break free sooner. To expedite your journey to financial freedom, join over 60,000 others and subscribe to the free Financial Samurai newsletter. Financial Samurai is among the largest independently-owned personal finance websites, established in 2009. Everything is written based on firsthand experience and expertise. To Your Financial Freedom, Sam

Global venture capital (VC) investment in generative artificial intelligence (GenAI) surged to $49.2 billion in the first half of 2025, outpacing the total for all of 2024 ($44.2 billion) and more than double the total for 2023 ($21.3b), according to EY Ireland's latest Generative AI Key Deals and Market Insights study. The sharp rise in overall deal value comes despite a near 25% drop in the number of transactions for the first six months of 2025 versus the second half of 2024, as VC firms concentrate on more mature, revenue-generating AI companies, resulting in fewer but significantly larger deals. Average transaction size for late-stage deals more than tripled to more than $1.55 billion, up from $481 million in 2024, while early-stage VC rounds declined, and angel and seed rounds saw no change. A wave of high-value investment into some of the most established players has underpinned this record first half of the year, including SoftBank's commitment to OpenAI which could reach $40 billion, xAI's $10 billion funding round, and major investments in Databricks ($5 billion), Anthropic ($3.5 billion), Mistral AI ($600 million), and Harvey ($600 million). Additionally, Agentic AI - which enables systems to perceive, decide and act autonomously - has emerged as a key growth area. Capgemini's $3.3 billion acquisition of WNS and Berlin-based Parloa's $120 million raise, propelling it to a $1 billion valuation, are among the notable deals in this area. While not covered in the data for the first half of the year, the recent acquisition of Irish predictive media analytics firm NewsWhip by Sprout Social is a welcome boost to the local sector. Commenting on the findings Grit Young, EY Ireland Techology, Media and Telecoms Lead said: "GenAI continues to reshape the investment landscape at an extraordinary pace. The first half of 2025 has already surpassed last year, which was also a high-water mark. That momentum is expected to continue and build further into the second half of the year with the launch of new GenAI platforms and their faster revenue generation capabilities. "While there was substantial concern at the start of the year with the launch of DeepSeek that investment in GenAI was likely to trend downwards, the results for the first half of the year point to a very different scenario. We are seeing a clear pivot to fewer but more substantial investments, which are pointed towards more mature companies and platforms that can demonstrate they can deliver real-world impact and return on investment. This growth is being fuelled by rising adoption across industries, high demand for sector-specific solutions and continued innovation in AI hardware, particularly semiconductors. "GenAI is entering a new phase, and the scale of investment reflects growing confidence in its commercial potential. The recent results from the 'Magnificent Seven' underscore how rapidly this technology is being adopted by customers, and we would expect that the investment trajectory is likely to accelerate through the second half of the year and beyond. "It would appear that GenAI has skipped through the traditional 'trough of disillusionment' for new technology adoption quite quickly and has now moved into another upswing cycle." Opportunities remain for Ireland Ireland has emerged as a strong adopter of AI, with 63 per cent of startups using the technology and 36 per cent embedding it at the core of their business models. However, many AI startups are struggling with access to capital and infrastructure. Grit Young says: "In Ireland, the appetite for AI adoption is strong, and we are working with many indigenous and international companies who are already well established on their AI journey. However, for AI startups, the funding environment remains challenging, particularly in the €1 million to €10 million funding space. "Many high-potential startups find themselves in a difficult middle ground, too advanced for early-stage support, yet not quite large ...

Meet Venkata Ramana Reddy Bussu—a Senior Cloud Solutions Engineer & SAP Architect whose fingerprints are on some of the world's most complex enterprise transformations ☁️

How are product leaders building game-changing platforms in the age of AI? In this episode of the CPO Rising Series hosted by Products That Count Resident CPO Renee Niemi, Databricks Senior Vice President of Product Management David Meyer will be speaking on building transformative product strategies in the data and AI landscape. Meyer shares insider insights from Databricks' journey, revealing how product leaders can create innovative platforms that reshape entire industries while staying true to a long-term vision.

In the latest episode ofThe New Stack Agents, Naveen Rao, VP of AI at Databricks and a former neuroscientist, reflects on the evolution of AI, neural networks, and the energy constraints that define both biological and artificial intelligence. Rao, who once built circuit systems as a child and later studied the brain's 20-watt efficiency at Duke and Brown, argues that current AI development—relying on massive energy-intensive data centers—is unsustainable. He believes true intelligence should emerge from low-power, efficient systems, more aligned with biological computing.Rao warns that the industry is headed toward “model collapse,” where large language models (LLMs) begin training on AI-generated content instead of real-world data, leading to compounding inaccuracies and hallucinations. He stresses the importance of grounding AI in reality and moving beyond brute-force scaling. Rao sees intelligence not just as a function of computing power, but as a distributed, observational system—“life is a learning machine,” he says—hinting at a need to fundamentally rethink how we build AI.Learn more from The New Stack about the latest insights about the evolution of AI and neural networks: The 50-Year Story of the Rise, Fall, and Rebirth of Neural NetworksThe Evolution of the AI Stack: From Foundation to AgentsJoin our community of newsletter subscribers to stay on top of the news and at the top of your game. 

What if AI made switching platforms effortless—and what would that mean for SaaS? This week on Topline, Sam Jacobs, Asad Zaman, and AJ Bruno unpack the latest headlines around Databricks, Snowflake, and Ramp to explore whether AI is truly shifting the foundations of enterprise software. They debate the reality behind “vibe coding,” question whether AI is actually boosting productivity (or just slowing us down), and discuss why so much of today's AGI conversation feels overhyped. Plus: the rise of nano agents, the illusion of developer efficiency, and what jobs might look like in 2030.   Thanks for tuning in! New episodes of Topline drop every Sunday and Thursday.   Don't miss GTM2025 — the only B2B tech conference exclusively for GTM executives. Elevate your 2026 strategy and join us from September 23 to 25 in Washington, D.C. Use code TOPLINE for 10% off your GA ticket.   Stay ahead with the latest industry developments and emerging go-to-market trends with Topline Newsletter by Asad Zaman. Subscribe today.   Tune in to The Revenue Leadership Podcast every Wednesday, where host Kyle Norton talks with real revenue operators and dives deep into what it takes to succeed as a modern revenue leader.   You're invited! Join the free Topline Slack channel to connect with 600+ revenue leaders, share insights, and keep the conversation going beyond the podcast!   This episode is sponsored by UserEvidence. Want to know what actually moves the needle on trust? Download The Evidence Gap, a data-backed report on the customer proof that drives real results. Get it now at userevidence.com/evidence.   Key Chapters: (00:00) - Welcome and Introductions  (02:00) - The Retreat Recap and Business Decisions  (04:30) - The Vanishing Switching Costs in SaaS and Cloud  (07:00) - Skepticism Around Kubernetes and Cloud Portability  (09:00) - Middle Market and SMB: Where AI-Enabled Switching Gains Traction  (12:00) - The Paradox of Switching Costs and Enterprise Inertia  (15:00) - The Ramp Phenomenon: Outpacing Incumbents with AI-Driven Finance  (18:00) - Future of Finance Teams: Human + AI Agents Collaboration  (22:00) - The Challenge of AI Hallucinations and Model Reliability  (26:00) - The Reality Check: AI Tools Slowing Developers Down  (29:30) - The Evolving Role of QA: More Fun or More Tedious?  (34:30) - Vibe Coding: Promise, Reality, and Use Case Limitations  (38:30) - Centralized AI Agents vs. Specialized Nano Agents  (42:30) - Envisioning 2030 Businesses: AI's True Impact Unfolds  (45:30) - Defining General and Super Intelligence: Myth vs. Reality  (50:30) - The AI Singularity and Moral Frameworks: Can Machines Learn Ethics?  (54:30) - The Grains of Sand, Rubik's Cube Permutations, and AI Complexity  (57:30) - Lighthearted Hot Takes: WNBA Enjoyment & Infinity Skepticism  (59:00) - Shoutouts to Masterminds, Meals, and Podcasts  (01:02:30) - Parting Thoughts on AI Adoption and CTAs for Listeners

In today's episode of Tech Talks Daily, I sat down with Andy Bell, Head of Data Product Management at Precisely, to explore a challenge that many organizations continue to underestimate: the role of data integrity in AI strategies. With only 12 percent of businesses expressing confidence in the quality of their AI data, it's clear that the rush to implement AI is often outpacing the readiness of the data that supports it. Andy and I unpack what happens when enterprises leap into generative or agentic AI without addressing foundational data issues. From hallucinations to bias to unreliable outputs, the risks are significant. As we discussed, these risks don't just impact models — they erode trust with customers and complicate accountability, especially in regulated industries where traceability is non-negotiable. We then explored the power of third-party data enrichment and how it can offer much-needed context that internal datasets often lack. Andy shared real-world examples, including how a major delivery company saved 65 million dollars by optimizing address accuracy and how San Bernardino County used Precisely's wildfire risk models to improve emergency planning. These aren't abstract use cases — they show measurable business value. Andy also introduced the Precisely Data Link program, a solution designed to make it easier to connect, manage, and query multiple third-party datasets. With persistent IDs and flexible delivery methods through APIs, managed services, and platforms like Snowflake and Databricks, Precisely is helping organizations speed up time to value while reducing integration headaches. Looking ahead, Andy shared how Precisely is building AI capabilities that allow users to query third-party data using natural language. This shift aims to make complex data interactions more intuitive and accessible to business users who may not be data engineers. If data is the fuel for AI, then the quality and context of that data will define the road ahead. Is your organization doing enough to ensure its data can be trusted by the AI it deploys?

Daliana's newsletter on how to find your edge in the AI age and live events: https://dalianaliu.kit.com/e0dcfc214bDaliana interviewed her friend of 10 years, Mike Lo, on how he went from a physics PhD to Sales Engineer at Databricks, and fun stories of their friendship in LA.Mike Lo's Linkedin: https://www.linkedin.com/in/hellomikelo/

Ron Gabrisko is the Chief Revenue Officer at Databricks, where he joined in 2016. Under his leadership, Databricks has scaled from $0 to over $4BN in annual revenue. He has grown the sales team from 0 to over 1,000 globally, leading expansion into enterprise, government, and international markets. Ron previously held senior sales roles at Cloudera and IBM, bringing deep experience in data and AI infrastructure. His tenure at Databricks has been defined by hypergrowth, multi-product adoption, and world-class GTM execution. Agenda for Today: 00:04 – The Databricks Origin Story: Ali, Ben Horowitz & 7 PhDs 00:08 – Ali vs JPMorgan: Turning Down $10M to Stay Cloud-First 00:13 – Prospecting Day: How Ron Scaled the GTM Culture 00:16 – Why Databricks' Pricing Model Was Its Secret Weapon 00:19 – Enterprise vs SMB: The Risky Bet That Paid Off 00:23 – From $2M to $13M ARR: How Ron Built the First Sales Engine 00:29 – Can AI Replace Salespeople? Ron's Brutally Honest Take 00:36 – How to Get Your First Million-Dollar Rep (and Keep Them) 00:42 – The Culture Secret Behind Scaling to 5,000 Sales Reps 00:45 – Why Databricks Waited Until $500M ARR to Go International 00:52 – What Makes a Great Sales Meeting? Ron's Gold Standard 00:58 – The Snowflake Wars: Why Ron Says Databricks Is 5 Years Ahead  

Bret Taylor's legendary career includes being CTO of Meta, co-CEO of Salesforce, chairman of the board at OpenAI (yes, during that drama), co-creating both Google Maps and the Like button, and founding three companies. Today he's the founder and CEO of Sierra, an AI agent company transforming customer service. He's one of the few people I've met who's been wildly successful at every level—from engineer to C-suite executive to founder—and across almost every discipline, including PM, engineer, CTO, COO, CPO, CEO, and board member.In this conversation, you'll learn:1. The brutal product review that nearly ended his Google career—and how that failure led to creating Google Maps2. The question Sheryl Sandberg taught him to ask every morning (“What's the most impactful thing I can do today?”) that transformed how he approached every role3. The three AI market segments that matter4. Why AI agents will replace SaaS products5. His framework for knowing whose advice to actually listen to—and how that came in handy during the OpenAI board drama6. The counterintuitive go-to-market strategy most AI startups get wrong7. Sierra's outcome-based pricing model that's transforming how enterprise software is sold (and why every SaaS company should adopt it)8. What he's teaching his kids about AI that every parent should know—Brought to you by:CodeRabbit—Cut code review time and bugs in half. Instantly: https://coderabbit.link/lennyBasecamp—The famously straightforward project management system from 37signals: https://www.basecamp.com/lennyVanta—Automate compliance. Simplify security: https://vanta.com/lenny—Where to find Bret Taylor:• X: https://x.com/btaylor• LinkedIn: https://www.linkedin.com/in/brettaylor/—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 Bret Taylor(04:10) Bret's early career and first major mistake(08:24) The birth of Google Maps(11:57) Lessons from FriendFeed and the importance of honest feedback(31:30) The future of coding and AI's role(45:26) Preparing the next generation for an AI-driven world(48:46) AI in education(52:05) Business strategies in the AI market(01:04:38) Outcome-based pricing in AI(01:09:15) Productivity gains and AI(01:17:35) Go-to-market strategies for AI products(01:21:49) Lightning round and final thoughts—Referenced:• Marissa Mayer on LinkedIn: https://www.linkedin.com/in/marissamayer/• “Lazy Sunday”—SNL: https://www.youtube.com/watch?v=sRhTeaa_B98• Quip: https://quip.com/• Sierra: https://sierra.ai/• FriendFeed: https://en.wikipedia.org/wiki/FriendFeed• Sheryl Sandberg on LinkedIn: https://www.linkedin.com/in/sheryl-sandberg-5126652/• Jim Norris on LinkedIn: https://www.linkedin.com/in/halfspin/• Paul Buchheit on X: https://x.com/paultoo• Sanjeev Singh on LinkedIn: https://www.linkedin.com/in/sanjeev-singh-20a1b72/• Barack Obama: https://www.obamalibrary.gov/obamas/president-barack-obama• Oprah Winfrey: https://en.wikipedia.org/wiki/Oprah_Winfrey• Ashton Kutcher: https://en.wikipedia.org/wiki/Ashton_Kutcher• PayPal Mafia: https://en.wikipedia.org/wiki/PayPal_Mafia• Sam Altman on X: https://x.com/sama• Warren Buffett on X: https://x.com/warrenbuffett• Unix: https://en.wikipedia.org/wiki/Unix• Fortran: https://en.wikipedia.org/wiki/Fortran• C: https://en.wikipedia.org/wiki/C_(programming_language)• Python: https://www.python.org/• Perl: https://www.perl.org/• Rust: https://www.rust-lang.org/• Eleven Labs: https://elevenlabs.io/• The exact AI playbook (using MCPs, custom GPTs, Granola) that saved ElevenLabs $100k+ and helps them ship daily | Luke Harries (Head of Growth): https://www.lennysnewsletter.com/p/the-ai-marketing-stack• Confluent: https://www.confluent.io/• Databricks: https://www.databricks.com/• Snowflake: https://www.snowflake.com• Harvey: https://www.harvey.ai/• Behind the founder: Marc Benioff: https://www.lennysnewsletter.com/p/behind-the-founder-marc-benioff• Larry Summers's website: https://larrysummers.com/• AutoCAD: https://www.autodesk.com/products/autocad/overview• Revit: https://www.autodesk.com/products/revit/• The art and science of pricing | Madhavan Ramanujam (Monetizing Innovation, Simon-Kucher): https://www.amazon.com/Monetizing-Innovation-Companies-Design-Product/dp/1119240867• Pricing your AI product: Lessons from 400+ companies and 50 unicorns | Madhavan Ramanujam: https://lenny.substack.com/p/pricing-and-scaling-your-ai-product-madhavan-ramanujam• Cursor: https://cursor.com/• CodeX: https://openai.com/codex/• Claude Code: https://www.anthropic.com/claude-code• The rise of Cursor: The $300M ARR AI tool that engineers can't stop using | Michael Truell (co-founder and CEO): https://www.lennysnewsletter.com/p/the-rise-of-cursor-michael-truell• DirecTV: https://www.directv.com/• SiriusXM: https://www.siriusxm.com/• Wayfair: https://www.wayfair.com/• Akai: https://www.akaipro.com/• Chubbies Shorts: https://www.chubbiesshorts.com/• Weight Watchers: https://www.weightwatchers.com/• CLEAR: https://www.clearme.com/• Stripe: https://stripe.com/• Building product at Stripe: craft, metrics, and customer obsession | Jeff Weinstein (Product lead): https://www.lennysnewsletter.com/p/building-product-at-stripe-jeff-weinstein• Twilio: https://www.twilio.com/• ServiceNow: https://www.servicenow.com/• Adobe: https://www.adobe.com/• Jobs to be done: https://jobs-to-be-done.com/jobs-to-be-done-a-framework-for-customer-needs-c883cbf61c90• The ultimate guide to JTBD | Bob Moesta (co-creator of the framework): https://www.lennysnewsletter.com/p/the-ultimate-guide-to-jtbd-bob-moesta• Inception: https://www.imdb.com/title/tt1375666/• Alan Kay's quote: https://www.brainyquote.com/quotes/alan_kay_100831• Jobs at Sierra: https://sierra.ai/careers—Recommended books:• Monetizing Innovation: How Smart Companies Design the Product Around the Price: https://www.amazon.com/Monetizing-Innovation-Companies-Design-Product/dp/1119240867• Competing Against Luck: The Story of Innovation and Customer Choice: https://www.amazon.com/Competing-Against-Luck-Innovation-Customer/dp/0062435612• Endurance: Shackleton's Incredible Voyage: https://www.amazon.com/Endurance-Shackletons-Incredible-Alfred-Lansing/dp/0465062881—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

Join this episode of DM Radio as host Eric Kavanagh speaks with Steve Sobel of Databricks and Anmol Madan of RadiantGraph. Discover how data and AI are driving a long-overdue transformation in the U.S. healthcare system, a sector that accounts for nearly 20% of the GDP. Learn how modern data architectures, real-time analytics, and AI-driven personalization are enabling healthcare organizations to deliver more efficient, empathetic, and effective care. From breaking down data silos to engaging patients in smarter, more meaningful ways, the guests reveal how the right technology can radically improve outcomes for both providers and patients.

Gaurav Dey is joined by Sandy Tran, Product Manager for SAP Business Data Cloud (BDC) on SAP BTP, to discuss Business Warehouse (BW) modernization and BW transformation. Together they outline how customers can move from SAP BW 7.5 and BW/4HANA to BDC via the pragmatic “lift → shift → innovate” approach. Sandy details the new Data Product Generator, showing how legacy BW InfoProviders become SAP data products ready for AI in SAP scenarios—whether you're using SAP Datasphere, SAP Databricks, or intelligent copilots like SAP Joule. Listeners also get an early look at the SAP roadmap for 2025, which promises deeper object associations, automated dependency handling, and smoother SAP cloud migration paths.

Episode 729: Sam Parr ( https://x.com/theSamParr ) talks to Zapier founder Wade Foster ( https://x.com/wadefoster ) about how to build AI Agents. — Show Notes: (0:00) Intro (5:57) DEMO: Instant Dossier (10:49) Model Context Protocol (19:30) DEMO: Read Strategy memos like a Harvard MBA (29:13) DEMO: Inbox Zero Agent (36:00) Getting your team to use AI (40:00) DEMO: Employee fraud detector — Links: • Zapier - zapier.com • Claude - Claude.ai • Glean - https://www.glean.com/ • Databricks - https://www.databricks.com/ • Superwhisper - https://superwhisper.com/ • Wisprflow - https://wisprflow.ai/ • N8n - https://n8n.io/ — Check Out Shaan's Stuff: • Shaan's weekly email - https://www.shaanpuri.com • Visit https://www.somewhere.com/mfm to hire worldwide talent like Shaan and get $500 off for being an MFM listener. Hire developers, assistants, marketing pros, sales teams and more for 80% less than US equivalents. • Mercury - Need a bank for your company? Go check out Mercury (mercury.com). Shaan uses it for all of his companies! Mercury is a financial technology company, not an FDIC-insured bank. Banking services provided by Choice Financial Group, Column, N.A., and Evolve Bank & Trust, Members FDIC — Check Out Sam's Stuff: • Hampton - https://www.joinhampton.com/ • Ideation Bootcamp - https://www.ideationbootcamp.co/ • Copy That - https://copythat.com • Hampton Wealth Survey - https://joinhampton.com/wealth • Sam's List - http://samslist.co/ My First Million is a HubSpot Original Podcast // Brought to you by HubSpot Media // Production by Arie Desormeaux // Editing by Ezra Bakker Trupiano

A new AI coding challenge has revealed its first winner — and set a new bar for AI-powered software engineers.  On Wednesday at 5pm PST, the nonprofit Laude Institute announced the first winner of the K Prize, a multi-round AI coding challenge launched by Databricks and Perplexity co-founder Andy Konwinski. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Dans cet épisode du Big Data Hebdo, Vincent Heuschling et Quentin Ambard reviennent sur le Data and AI Summit 2025 de Databricks.En autres on parle de :L'acquisition de Néon pour avoir une BDD au dessus du LakehouseLakeflow Designer pour avoir une approche low-codeL'intégration de l'IADatabricks One pour rendre l'interface plus accessibleLes améliorations du moteur SQL de DatabricksAgent Bricks qui simplifie le développement d'agents AI.La data-gouvernance avec Unity Catalog.Le Vector Search au dessus du lakehouseLes inevitables troll envers Snowflake

Ankur Goyal is the founder and CEO of Braintrust, an end-to-end platform for building AI apps. Before that, he founded Impira, a data management platform that was acquired by Figma, where he went on to lead the AI team. Ankur kickstarted his career when he dropped out of college to join the founding team at SingleStore (formerly MemSQL), a formative experience that shaped his views on building for high-bar users. In today's episode, we discuss: • Ankur's early lessons on quality from MemSQL • How frustration with evals at Figma led to Braintrust • Why they delayed go-to-market (on purpose) • How to find product-market fit in a new market • Why building great software comes from a place of “paranoia” • And much more… Referenced: • Airtable: https://www.airtable.com/ • Adam Prout: https://www.linkedin.com/in/adam-prout-0b347630/ • Braintrust: https://braintrust.dev • Brian Helmig: https://www.linkedin.com/in/bryanhelmig/ • Coda: https://coda.io/ • Databricks: https://www.databricks.com/ • David Kossnick: https://www.linkedin.com/in/davidkossnick/ • Figma: https://www.figma.com/ • Goldman Sachs: https://www.goldmansachs.com/ • Kris Rasmussen: https://www.linkedin.com/in/kristopherrasmussen/ • Manu Goyal: https://www.linkedin.com/in/mngyl/ • MemSQL: https://www.singlestore.com/ (now SingleStore) • Nikita Shamgunov: https://www.linkedin.com/in/nikitashamgunov/ • OpenAI: https://openai.com/ • Snowflake: https://www.snowflake.com/ • Zapier: https://zapier.com/ Where to find Ankur: • LinkedIn: https://www.linkedin.com/in/ankrgyl/ • Twitter/X: https://x.com/ankrgyl Where to find Brett: • LinkedIn: https://www.linkedin.com/in/brett-berson-9986094/ • Twitter/X: https://twitter.com/brettberson Where to find First Round Capital: • Website: https://firstround.com/ • First Round Review: https://review.firstround.com/ • Twitter/X: https://twitter.com/firstround • YouTube: https://www.youtube.com/@FirstRoundCapital • This podcast on all platforms: https://review.firstround.com/podcast Timestamps (02:02) Dropping out of college to join MemSQL (02:24) Key lessons from MemSQL (05:54) How to build quality software (08:51) The trick to recruiting well (12:03) Founding Impira and selling to Figma (19:45) How Braintrust was born (25:33) Why good founders are paranoid (28:08) How to recognize a real market opportunity (33:37) The biggest mistake at Impira (35:15) Inside Braintrust's first six months (40:57) How AI is reshaping Braintrust's future (42:32) The evolution of their prompt playground (46:53) Fighting to stay mission-driven (52:45) Make big bets, with extreme clarity (57:00) The cultural choices that shaped Braintrust (58:49) Hiring mistakes they won't repeat (1:03:07) What PMF really looks like

Dans cet épisode, PPC nous embarque dans les coulisses du RAISE Summit 2025, un rendez-vous d'exception au Carrousel du Louvre, où l'intelligence artificielle s'est imposée pendant 2 jours. Pas de slides sur scène, mais des idées fortes et des visions tranchées.PPC a assisté à une table ronde passionnante avec des figures de proue de la tech :Olivier Pomel, CEO de Datadog,Naveen Rao, VP AI chez Databricks,Ross Mason, fondateur de MuleSoft,Andrey Khusid, CEO de Miro,Modérée par Mark Minevich de Mayfield.Ce qui en ressort ? L'entreprise IA n'est pas une simple mise à jour logicielle, c'est un changement de paradigme. On parle de confiance, de vitesse, de culture, et surtout d'un futur où les généralistes augmentés pourraient bien prendre le pouvoir.Dans cet épisode, PPC nous partage ses réflexions, ses doutes, et 4 extraits clés de cette conférence pour mieux comprendre la transition en cours. On y parle rythme d'adoption, résistance au changement, transformation des rôles et nouveaux rapports au travail.Bonne écoute !Pour suivre les actualités de ce podcast, abonnez-vous gratuitement à la newsletter écrite avec amour et garantie sans spam https://bonjourppc.substack.com Hébergé par Ausha. Visitez ausha.co/politique-de-confidentialite pour plus d'informations.

Stop deliberating and start driving real value from Generative AI. In this must-watch AWS Executive Insights episode, AWS Director of Technology Shaown Nandi and Databricks VP Jeff Traylor cut through the AI hype to reveal practical strategies for achieving tangible AI ROI. Drawing from his experience at both AWS and Databricks, Traylor shares an insider's playbook for successful AI implementation, from building high-performing AI talent to measuring the business impact of AI. Whether you're just starting your AI journey or looking to scale existing initiatives, this candid conversation provides the framework you need to move beyond analysis paralysis and drive meaningful outcomes. Learn how leading organizations are balancing innovation with risk management to unlock AI's transformative potential.

Today's guest is Ari Kaplan, Head of Evangelism at Databricks. Founded in 2013, Databricks democratizes insights to everyone in an organization. Their Data Intelligence Platform provides a unified foundation for all data and governance, combined with AI models tuned to an organization's unique characteristics. Now, anyone in an organization can benefit from automation and natural language to discover and use data like experts, and technical teams can easily build and deploy secure data and AI apps and products.Ari is a leading AI and data influencer and was named one of DataIQ's Top 20 AI Influencers in America in 2024. He created and led the Chicago Cubs' analytics team, inspired Moneyball and held leadership roles at Databricks, IBM and Nielsen. A Caltech Alumni of the Decade, he's authored five best-selling books and consulted for Fortune 500s. Ari also led the Raoul Wallenberg investigation and has been profiled by CNN, Time and the History Channel for his pioneering work in analytics and AI.In this episode, Ari talks about:0:00 His journey from sports fan to analytics pioneer transforming the industry5:54 How the Moneyball legacy fuels his ever-evolving tech innovation journey9:00 Being the Databricks evangelist to inspire global AI innovation11:45 How Databricks uses AI internally, inspires careful customer innovation15:38 Driving unstoppable global growth momentum through their passionate community19:10 His passion for using data science to free wrongly imprisoned, missing people22:01 His optimistic vision for AI's rapidly transformative future25:31 How AI shifted from skepticism to an essential productivity tool rapidlyTo find out more about all the great work happening at Databricks, check out the website www.databricks.com 

Get up to speed on the world’s most exciting AI news with your hosts, Artie Intel and Micheline Learning, two AI reporters dedicated to bringing you the latest breakthroughs and trends. In this episode, discover how ChatGPT-powered Barbies are transforming playtime, why FreedomGPT is making waves as an uncensored, privacy-first AI tool, and how Tanka’s long-term memory is revolutionizing workplace communication. Plus, hear about Amazon’s milestone of deploying its one millionth robot and the AI innovations powering its logistics. Whether you’re an AI enthusiast, tech professional, or just curious about how artificial intelligence is reshaping everyday life, this episode has insights and stories you won’t want to miss. Discover How the Databricks Data Intelligence Platform Empowers Your Data and AI Tasks. Get the Free eBook to Explore How to Unify Your Data and AI Seamlessly with Databricks.

Send us a textThe Compound is a go to source of financial news and insights for me on a weekly basis. What Are Your Thoughts on Tuesdays, Animal Spirits on Wednesdays, and The Compound and Friends on Friday. Incredible insights from Josh, Michael, and Ben Carlson. I highly recommend a Youtube subscribe at https://www.youtube.com/@TheCompoundNews . In this discussion…The IPO market has reopened with strong momentum, marked by blockbuster debuts from companies like CoreWeave and Circle. Circle benefited from perfect timing and favorable regulatory signals. Concerns remain over IPO pricing inefficiencies, especially when stocks surge post-IPO, raising questions about value left on the table. Several private companies - such as Safe Superintelligence, SpaceX, OpenAI, Stripe, Databricks, Anthropic, and Anduril - are generating strong pre-IPO interest. Debt financing is a growing trend among capital-intensive AI and chip firms, offering a non-dilutive alternative to equity. Meta is aggressively acquiring top AI talent, signaling intense competition. Emerging companies like Harvey (AI for law firms), Groq (AI chips), and Clue (context-aware AI assistant) highlight the sector's evolution into apps, platforms, and infrastructure layers. Despite the IPO window being open, many companies opt to stay private due to robust, orderly secondary markets providing liquidity without public scrutiny.

Welcome to episode 308 of The Cloud Pod – where the forecast is always cloudy! Justin and Matt are on hand and ready to bring you an action packed episode. Unfortunately, this one is also lullaby free. Apologies. This week we're talking about Databricks and Lakebridge, Cedar Analysis, Amazon Q, Google's little hiccup, and updates to SQL – plus so much more! Thanks for joining us.  Titles we almost went with this week: KV Phone Home: When Your Key-Value Store Goes AWOL When Your Coreless Service Finds Its Core Problem Oracle’s Vanity Fair: Pretty URLs for Pretty Penny From Warehouse to Lakehouse: Your Free Ticket to Cloud Town 1⃣Databricks Uno: Because One is the Loneliest Number Free as in Beer, Smart as in Data Science Cedar Analysis: Because Your Authorization Policies Wood Never Lie Cedar Analysis: Teaching Old Policies New Proofs Amazon Q Finally Learns to Talk to Other Apps Tomorrow: Visual Studio’s Predictive Edit Revolution The Ghost of Edits Future: AI Haunts Your Code Before You Write It IAM What IAM: Google’s Identity Crisis Breaks the Internet Permission Denied: The Day Google Forgot Who Everyone Was 403 Forbidden: When Google’s Bouncer Called in Sick AWS Brings the Heat to Fusion Research Larry’s Cloud Nine: Oracle Stock Soars on Forecast Raise OCI You Later: Oracle Bets Big on Cloud Growth Oracle’s Crystal Ball Shows 40% Cloud Growth Ahead Meta Scales Up Its AI Ambitions with $14 Billion Investment From FAIR to Scale: Meta’s $14 Billion AI Makeover Congratulations Databricks one, you are now the new low code solution.  AWS burns power to figure out how power works AI Is Going Great – Or How ML Makes Money  02:12 Zuckerberg makes Meta’s biggest bet on AI, $14 billion Scale AI deal Meta is finalizing a $14 billion investment for a 49% stake in Scale AI, with CEO Alexandr Wang joining to lead a new AI research lab at Meta.  This follows similar moves by Google and Microsoft acquiring AI talent through investments rather than direct acquisitions to avoid regulatory scrutiny. Scale AI specializes in data labeling and annotation services critical for training AI models, serving major clients including OpenAI, Google, Microsoft, and Meta.  The company’s expertise covers approximately 70% of all AI models being built, providing Meta with valuable intelligence on competitor approaches to model development. The deal reflects Meta’s struggles with its Llama AI models, particularly the underwhelming reception of Llama 4 and delays in releasing the more powerful “Behemoth” model due to concerns about competitiveness with OpenAI and

Send us a textExplore the forefront of AI innovation in this engaging episode of Exchanges, Hitachi Solutions' podcast dedicated to transformative technology insights. Host Matt Volke chats with Michael Popp, Principal Data Architect, about the groundbreaking Agent Bricks, unveiled at the Databricks Data and AI Summit. Join us as we dive into how Agent Bricks democratizes AI applications, broadens use cases, and simplifies agent creation for enterprises.Why should you listen?Discover how Agent Bricks empowers non-technical users to develop AI agents without coding, streamlining processes and boosting efficiency.Gain insights from a data architecture expert on Databricks' latest offerings such as LakeFlow and Lakebase, crafted to enhance data orchestration and management.Learn how Agent Bricks can accelerate AI adoption, helping businesses achieve higher levels of data maturity faster than ever before.Get a behind-the-scenes look at what these technological advancements mean for the future of AI in business operations.Listen now to uncover expert perspectives and strategic insights that are shaping the next generation of AI technology.global.hitachi-solutions.com

Andy Konwinski is pledging $100 million of his own money for a new kind of institute to fund researchers. It's already backed Ion Stoica's new lab. Learn more about your ad choices. Visit podcastchoices.com/adchoices

My guest today is Ion Stoica, professor of computer science at UC Berkeley and the co-founder of Conviva, Databricks, and Anyscale. Over the last two decades, Ion's research labs - the AMP Lab, the RISE Lab, and now the Sky Computing Lab - have seeded a generation of category-defining companies. Ion has the unique ability to turn non-consensus ideas into durable businesses. He applied machine learning to video optimization with Conviva before AI became mainstream. He scaled Apache Spark into a $60B platform with Databricks. And now, with Anyscale, he's betting on Ray as the foundation for distributed AI workloads. In this episode, we dig into both sides of Ion's work: how to build world-class research labs, and how to turn research into real companies. His clarity of thought makes the future feel legible, and his track record suggests he's very often right. Hope you enjoy the conversation! Chapters: 00:00 The Spark thesis: win the ecosystem first, monetize later 01:00 Intro: From lab to company - Ion's repeatable playbook 03:00 Did you always plan to become a founder, or did it just happen? 05:23 Let's start with Spark - how did the project come about? 13:04 What were the most important early decisions at Databricks? 23:49 You were the first CEO - what did you have to learn (or unlearn)? 30:01 How was building Anyscale different from building Databricks? 33:53 What's obvious to you about the future of AI that others miss? 37:31 Why AI works so well for code 41:00 The thesis behind OPAQUE Systems 44:06 Future infra will be heterogeneous, distributed, and vertically integrated 49:03 China's edge: faster diffusion from lab to market 53:19 Platform companies still work, but only with the right investors 55:57 What role did the Databricks Unit (DBU) play in value capture? 58:02 AI progress is plateauing, but adoption is just beginning

Each time I compile and curate the Database Weekly newsletter, I find lots of Fabric content from the various sources I watch to compose the newsletter. Since I primarily deal with the Microsoft Data Platform stack, this makes sense. Most of the things I am interested in are related to Microsoft, and as a result, I tend to use sources that also use SQL Server, Power BI, Fabric, and related technologies. I do look for other related data items, but I am heavily MSSQL focused. Recently, I stumbled on a piece that contains Fabric Alternatives in AWS, GCP, and OCI. It covers some of the options on these cloud platforms at a very high level. A product name and short description, but it shows there are other choices. I found it interesting that Databricks is mentioned, but not Snowflake. I'm not sure why that is, as Databricks is on Azure (and other platforms) as is Snowflake, but perhaps the author doesn't consider Snowflake a peer? That seems strange. Read the rest of The Data Warehousing Choice

In ERP news this week, Oracle announced fiscal 2025 Q4 and full-year 2025 results. Next, Salesforce unveiled the Summer '25 release, a comprehensive update designed to help businesses boost efficiency by integrating intelligent AI agents alongside human employees. Finally, Qlik announced a series of new capabilities for customers of Databricks, the Data and AI company, built on Databricks Data Intelligence Platform.Connect with us!https://www.erpadvisorsgroup.com866-499-8550LinkedIn:https://www.linkedin.com/company/erp-advisors-groupTwitter:https://twitter.com/erpadvisorsgrpFacebook:https://www.facebook.com/erpadvisorsInstagram:https://www.instagram.com/erpadvisorsgroupPinterest:https://www.pinterest.com/erpadvisorsgroupMedium:https://medium.com/@erpadvisorsgroup

Welcome back to SED News, a podcast series from Software Engineering Daily where hosts Gregor Vand and Sean Falconer break down the latest stories in software engineering, Silicon Valley, and wider tech world. In this episode, Gregor and Sean unpack what's going with Deel and Rippling, explore why Databricks and Snowflake are making big bets The post SED News: Corporate Spies, Postgres, and the Weird Life of Devs Right Now appeared first on Software Engineering Daily.

Ion Stoica helped define the modern data stack. Now he's coming for AI evaluation. From co-founding Databricks and Anyscale to launching LMArena, Ion has shaped the infrastructure underlying some of the biggest shifts in computing. In this conversation, he unpacks what most people get wrong about model evaluation, the infrastructure challenges ahead for agents and heterogeneous compute, and why he believes the U.S. is structurally disadvantaged in open-source AI compared to China. (0:00) Intro(0:49) Launching a New Startup: LMArena(1:01) The Origin of the Vicuna Model(1:54) Challenges in Model Evaluation(6:33) Becoming a Company(7:47) Expanding Evaluation Capabilities(13:48) The Importance of Human-Based Evaluations(18:56) Open Source vs. Proprietary Models(23:05) Infrastructure and Collaboration Challenges(28:22) China's Strategic Advantages in Technology(29:54) Opportunities in AI Infrastructure(31:50) Challenges in AI Model Optimization(35:49) The Role of Data in AI Enterprises(39:31) Reflections on AI Progress and Predictions(50:40) Quickfire 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

Chris Degnan is one of the most legendary CROs of this generation. He joined Snowflake as employee #13 and the 1st sales hire. He scaled the sales org from 0 to over $3B in ARR, spanned four CEOs, and retired as CRO after 11 years. In his first podcast post-retirement, Chris opened his CRO playbook, from early enablement to hiring rigor and fending off threats from competitors. He also reflects on lessons from working with leaders like Frank Slootman, John McMahon, and Sridhar Ramaswamy. If you're a founder or running sales at a startup, this one is for you. (00:00) Introduction to Chris's Journey at Snowflake (01:47) Navigating Leadership Changes (04:39) The Importance of Sales Methodology and Enablement (10:22) Near-Death Experiences and Company Resilience (13:39) Building a Strong Sales Organization (27:25) Hiring and Scaling the Sales Team (34:52) Board Dynamics and Mentorship (44:29) The Influence of John McMahon (46:22) Leadership Styles and Intuition (46:56) Launching Snowflake Japan (49:39) Learning from Leaders (55:10) The Importance of Competitive Moats (59:12) Snowflake vs. Databricks (01:07:45) Public vs. Private Markets (01:14:03) Sales and Marketing Synergy (01:26:17) Final Thoughts and Future Plans Executive Producer: Rashad Assir Producer: Leah Clapper Mixing and editing: Justin Hrabovsky Check out Unsupervised Learning, Redpoint's AI Podcast: https://www.youtube.com/@UCUl-s_Vp-Kkk_XVyDylNwLA

Send us a text00:00 - Intro00:51 - Scale AI gets $14.3B from Meta, hits $29B valuation02:03 - Starlink doubles subs to 6M, adds 100K in Africa03:22 - SpaceX expands Starship launch capacity in Florida04:08 - Databricks adds Google Gemini, hits $72.8B valuation05:09 - Perplexity partners with Nvidia, eyes $14B raise06:08 - Glean raises $150M at $7.2B valuation07:13 - Mistral hits $6B valuation, expands sovereign AI reach08:32 - Gecko Robotics doubles to $1.25B valuation09:28 - Bullish files confidentially for US IPO

Today's show: Alex moderates a TWIST VC Roundtable with Jason, Paige Doherty (Behind Genius), and Altimeter's Megan Reynolds about the state of early-stage venture capital. They break down the rise of secondary markets as a key liquidity path for VCs, analyze the resurgence in M&A activity from major players like Meta, Databricks, and OpenAI, and question whether inflated ARR figures from YC startups are distorting valuations. Jason shares his year-zero investment thesis and offers tactical advice on secondary structuring and identifying high-quality revenue. Whether you're raising, investing, or building, this episode delivers essential insights into the evolving early-stage landscape.Timestamps:(0:00) Episode Teaser(1:28) Meet our panelists!(2:37) Will secondaries replace traditional M&A?(10:10) LinkedIn Ads - Get a $100 LinkedIn ad credit at http://www.linkedin.com/thisweekinstartups(14:28) Has M&A actually bounced back?(20:06) Pilot - Visit https://www.pilot.com/twist and get $1,200 off your first year.(25:35) Secondary market advice, just for founders(30:10) Retool - Visit https://www.retool.com/twist and try it out today.(32:49) Why is it so hard for emerging managers to raise funds?(38:28) Seed funds: the math is not mathing(52:07) Why early investors become “collateral damage”(56:31) The importance of revenue quality in early-stage startups(1:06:43) Quick Fire Question Round!Subscribe to the TWiST500 newsletter: https://ticker.thisweekinstartups.comCheck out the TWIST500: https://www.twist500.comSubscribe to This Week in Startups on Apple: https://rb.gy/v19fcpLinks from episode:Altimeter: https://www.altimeter.com/homeBehind Genius: https://www.behindgeniusventures.com/Follow Meghan:X: https://x.com/MeghanKReynoldsLinkedIn: https://www.linkedin.com/in/meghankreynolds/Follow Paige:X: https://x.com/paigefinnnLinkedIn: https://www.linkedin.com/in/paigedoherty/Follow Alex:X: https://x.com/alexLinkedIn: ⁠https://www.linkedin.com/in/alexwilhelmFollow Jason:X: https://twitter.com/JasonLinkedIn: https://www.linkedin.com/in/jasoncalacanisThank you to our partners:(10:10) LinkedIn Ads - Get a $100 LinkedIn ad credit at http://www.linkedin.com/thisweekinstartups(20:06) Pilot - Visit https://www.pilot.com/twist and get $1,200 off your first year.(30:10) Retool - Visit https://www.retool.com/twist and try it out today.Great TWIST interviews: Will Guidara, Eoghan McCabe, Steve Huffman, Brian Chesky, Bob Moesta, Aaron Levie, Sophia Amoruso, Reid Hoffman, Frank Slootman, Billy McFarlandCheck out Jason's suite of newsletters: https://substack.com/@calacanisFollow TWiST:Twitter: https://twitter.com/TWiStartupsYouTube: https://www.youtube.com/thisweekinInstagram: https://www.instagram.com/thisweekinstartupsTikTok: https://www.tiktok.com/@thisweekinstartupsSubstack: https://twistartups.substack.comSubscribe to the Founder University Podcast: https://www.youtube.com/@founderuniversity1916

This episode is sponsored by Oracle. OCI is the next-generation cloud designed for every workload – where you can run any application, including any AI projects, faster and more securely for less. On average, OCI costs 50% less for compute, 70% less for storage, and 80% less for networking. Join Modal, Skydance Animation, and today's innovative AI tech companies who upgraded to OCI…and saved.   Try OCI for free at http://oracle.com/eyeonai   What if you could fine-tune an AI model without any labeled data—and still outperform traditional training methods?   In this episode of Eye on AI, we sit down with Jonathan Frankle, Chief Scientist at Databricks and co-founder of MosaicML, to explore TAO (Test-time Adaptive Optimization)—Databricks' breakthrough tuning method that's transforming how enterprises build and scale large language models (LLMs).   Jonathan explains how TAO uses reinforcement learning and synthetic data to train models without the need for expensive, time-consuming annotation. We dive into how TAO compares to supervised fine-tuning, why Databricks built their own reward model (DBRM), and how this system allows for continual improvement, lower inference costs, and faster enterprise AI deployment.   Whether you're an AI researcher, enterprise leader, or someone curious about the future of model customization, this episode will change how you think about training and deploying AI.   Explore the latest breakthroughs in data and AI from Databricks: https://www.databricks.com/events/dataaisummit-2025-announcements Stay Updated: Craig Smith on X: https://x.com/craigss Eye on A.I. on X: https://x.com/EyeOn_AI  

Tricks to Fine Tuning // MLOps Podcast #318 with Prithviraj Ammanabrolu, Research Scientist at Databricks. Join the Community: https://go.mlops.community/YTJoinIn Get the newsletter: https://go.mlops.community/YTNewsletter // AbstractPrithviraj Ammanabrolu drops by to break down Tao fine-tuning—a clever way to train models without labeled data. Using reinforcement learning and synthetic data, Tao teaches models to evaluate and improve themselves. Raj explains how this works, where it shines (think small models punching above their weight), and why it could be a game-changer for efficient deployment.// BioRaj is an Assistant Professor of Computer Science at the University of California, San Diego, leading the PEARLS Lab in the Department of Computer Science and Engineering (CSE). He is also a Research Scientist at Mosaic AI, Databricks, where his team is actively recruiting research scientists and engineers with expertise in reinforcement learning and distributed systems.Previously, he was part of the Mosaic team at the Allen Institute for AI. He earned his PhD in Computer Science from the School of Interactive Computing at Georgia Tech, advised by Professor Mark Riedl in the Entertainment Intelligence Lab.// Related LinksWebsite: https://www.databricks.com/~~~~~~~~ ✌️Connect With Us ✌️ ~~~~~~~Catch all episodes, blogs, newsletters, and more: https://go.mlops.community/TYExploreJoin our Slack community [https://go.mlops.community/slack]Follow us on X/Twitter [@mlopscommunity](https://x.com/mlopscommunity) or [LinkedIn](https://go.mlops.community/linkedin)] Sign up for the next meetup: [https://go.mlops.community/register]MLOps Swag/Merch: [https://shop.mlops.community/]Connect with Demetrios on LinkedIn: /dpbrinkmConnect with Raj on LinkedIn: /rajammanabroluTimestamps:[00:00] Raj's preferred coffee[00:36] Takeaways[01:02] Tao Naming Decision[04:19] No Labels Machine Learning[08:09] Tao and TAO breakdown[13:20] Reward Model Fine-Tuning[18:15] Training vs Inference Compute[22:32] Retraining and Model Drift[29:06] Prompt Tuning vs Fine-Tuning[34:32] Small Model Optimization Strategies[37:10] Small Model Potential[43:08] Fine-tuning Model Differences[46:02] Mistral Model Freedom[53:46] Wrap up

What's holding back enterprise adoption of blockchain?In this episode, Sergio from Sonar X joins Sam to explain why the missing piece is data infrastructure. Drawing from experience at Bloomberg and AWS (where he led Amazon Managed Blockchain), Sergio breaks down why most blockchain systems are broken at the data layer—and how Sonar X is building a scalable, multi-chain backend to fix it.From audit-grade historical data to real-time indexing across 30+ chains, Sonar X is laying the foundation for Web3's next growth wave.Key Timestamps[00:00:00] Introduction: Sergio's background and what Sonar X is solving.[00:01:30] Growing up as a fixer: From Italian banking to Bloomberg and AWS.[00:04:00] Falling in love with blockchain: MIT program and lightbulb moment.[00:05:30] The problem: Enterprise-grade infrastructure for blockchain data doesn't exist.[00:07:00] What Sonar X does: Reliable, multi-chain data infra for coverage, quality, and access.[00:09:00] Use cases: From DeFi indexes to forensics, custody, fund admin, and compliance.[00:12:00] The architecture: How Sonar X solves the CAP theorem limitations of blockchain.[00:15:00] Data standardization: Making 30+ chains interoperable via common schemas.[00:17:30] Indexing like Bloomberg: Creating a “market data” layer for all chains.[00:19:00] Data delivery: Snowflake, Databricks, CSV exports, and multi-cloud support.[00:20:00] Business model: Simple annual chain-based subscriptions, no usage limits.[00:22:00] Custom support: Engineering advisory to reduce compute costs for clients.[00:23:00] Challenges ahead: Scaling to meet 1M+ TPS chains and occasional-use customers.[00:25:00] Traditional finance: How blockchain will upgrade, not replace, infrastructure like DTCC or SWIFT.[00:27:00] Blockchain = the ultimate value exchange machine.[00:28:00] Data scale: Every new asset, chain, or protocol creates exponential complexity.[00:30:00] Final ask: Keep investing in product, preparing for GenAI, and expanding chain support.[00:33:00] The future: RWA tokenization, AI agents, and why reliable data will be the cornerstone.Connecthttps://www.sonarx.com/https://www.linkedin.com/company/sonarxhttps://x.com/sonarx_hqhttps://www.linkedin.com/in/sergiocapannaDisclaimerNothing mentioned in this podcast is investment advice and please do your own research. Finally, it would mean a lot if you can leave a review of this podcast on Apple Podcasts or Spotify and share this podcast with a friend.Be a guest on the podcast or contact us - https://www.web3pod.xyz/

In this episode, I reconnect with my old friend Joe Saul-Sehy from The Stacking Benjamins podcast to talk about creating your own life curriculum — because when you do, you may no longer be beholden to anyone. With AI eliminating jobs and making the path to financial independence even tougher, I wanted to sit down with another creator who forged his own way—building a business and income stream through podcasting. I firmly believe everyone should build an online brand and develop a side hustle. The era of job security, pensions, and abundant opportunities is fading. You—and your children—need to learn how to create your own income streams. Check out Joe's work at: https://joesaulsehy.com https://www.stackingbenjamins.com Subscribe To Financial Samurai Join 60,000+ others and subscribe to the free weekly Financial Samurai newsletter. My goal is to help you achieve financial freedom sooner, rather than later. Financial Samurai started in July 2009 and is the leading independently-owned personal finance site today.  This episode is sponsored by Fundrise Venture, an innovative venture capital product that invests in private AI companies like OpenAI, Anthropic, Anduril, Databricks, and more. The minimum investment to start is only $10, and I personally have invested over $185,000 in Fundrise Venture so far.   

AI's increasing presence in the legal field is raising significant concerns, particularly regarding the accuracy of information generated by these systems. Judges have reported a notable rise in AI-generated inaccuracies, with 23 instances of fake legal citations identified since May 1st. Legal data analyst Damien Chartland has documented 120 cases where courts recognized AI's hallucinations, which include fabricated legal quotes and non-existent authorities. This trend indicates a shift in responsibility, as lawyers are now accountable for these errors, contrasting with previous instances where self-represented individuals were primarily at fault. The implications are serious, with courts imposing fines exceeding $10,000 for AI misuse.The impact of automation extends beyond the legal sector, as a recent report highlights the potential for AI to exacerbate the gender employment gap. In high-income countries, the risk of women facing job automation has risen to 9.6%, while the risk for men is significantly lower at 3.5%. Jobs traditionally held by women, such as administrative roles, are particularly vulnerable to automation. Experts warn that without substantial changes in the labor market, women may face increased challenges in securing stable employment, as their work often shifts toward household tasks rather than formal employment.In the tech industry, Databricks has revealed that 80% of new databases created on their NEON platform were generated by AI agents, showcasing the growing influence of non-developers in coding. This trend emphasizes the need for companies to adapt to remain competitive, focusing on optimizing products for visibility to large language models. Meanwhile, Zoom's CEO has begun using an AI avatar for quarterly earnings calls, raising questions about authenticity and trust in corporate communication. The use of AI avatars could level the playing field for small business leaders but also introduces risks such as impersonation and misuse.Finally, Qualcomm has challenged Apple's claims regarding the performance of its in-house C1 modem, asserting that it falls short compared to Qualcomm's existing technology. A study found that Android devices powered by Qualcomm outperformed the iPhone 16e in both download and upload speeds, particularly in urban environments. Despite these challenges, Apple aims for full-stack control over its technology, and while the initial performance may not meet expectations, the company is known for its ability to iterate and improve rapidly. This ongoing competition highlights the dynamic nature of the tech industry and the importance of innovation.  Four things to know today  00:00 The Hidden Costs of AI: Legal Fines, Workforce Disruption, and the Rise of Unchecked Automation in the Enterprise05:51 New AI Integrations From OpenAI, Salesforce, and GoTo Push Deeper Into MSP Value Chain—Control or Be Commoditized09:01 From Efficiency to Deception? Zoom's AI Avatar Sparks Questions About Corporate Authenticity and Accountability10:49 Apple's DIY Modem Underperforms Qualcomm—But Version One Shows the Game Plan Is in Motion  Supported by:https://www.huntress.com/mspradio/https://cometbackup.com/?utm_source=mspradio&utm_medium=podcast&utm_campaign=sponsorship All our Sponsors: https://businessof.tech/sponsors/ Do you want the show on your podcast app or the written versions of the stories? Subscribe to the Business of Tech: https://www.businessof.tech/subscribe/Looking for a link from the stories? The entire script of the show, with links to articles, are posted in each story on https://www.businessof.tech/ Support the show on Patreon: https://patreon.com/mspradio/ Want to be a guest on Business of Tech: Daily 10-Minute IT Services Insights? Send Dave Sobel a message on PodMatch, here: https://www.podmatch.com/hostdetailpreview/businessoftech Want our stuff? Cool Merch? Wear “Why Do We Care?” - Visit https://mspradio.myspreadshop.com Follow us on:LinkedIn: https://www.linkedin.com/company/28908079/YouTube: https://youtube.com/mspradio/Facebook: https://www.facebook.com/mspradionews/Instagram: https://www.instagram.com/mspradio/TikTok: https://www.tiktok.com/@businessoftechBluesky: https://bsky.app/profile/businessof.tech

In this episode, Yext CEO Michael Walrath joins Sam, Asad, and AJ to talk about what comes after Google. With over two decades of experience leading and investing in internet businesses—including Right Media and Moat—Michael unpacks how AI is reshaping the way we search, discover, and interact with information online.He explains why the old rules of SEO no longer apply, how structured data and digital presence are becoming mission-critical, and what brands need to do now to stay visible in an AI-first world. Michael also shares candid insights on running a public company through market whiplash, how he thinks about signal vs. noise when allocating capital, and why he's choosing profitability over prediction.Thanks for tuning in!Join the revenue leaders redefining growth at Pavilion's CRO Summit 2025, which will be held on June 3rd at the Denver Art Museum. Register today.Join the free Topline Slack channel to connect with 600+ revenue leaders, share insights, and keep the conversation going beyond the podcast!Subscribe to the Topline Newsletter to get the latest industry developments and emerging go-to-market trends delivered to your inbox every Thursday.Tune into The Revenue Leadership Podcast with Kyle Norton every Wednesday. Kyle dives deep into the strategies and tactics that drive success for revenue leaders like Jason Lemkins of SaaStr, Stevie Case of Vanta, and Ron Gabrisko of Databricks.

Krithika Shankarraman was the first marketing hire at OpenAI and Stripe and led marketing at Retool. At OpenAI, she established marketing foundations for ChatGPT for consumers and enterprises, as well as their developer API platform. While at Stripe, she spent over eight years building and scaling their marketing function from scratch. An engineer turned marketer, Krithika brings a uniquely analytical approach to marketing. She currently serves as Entrepreneur in Residence at Thrive Capital, where she helps portfolio companies on all things marketing.What you will learn:1. Why do most marketing playbooks often fail, and what's a better way?2. Which marketing lever should I pull first?3. Why is trying to be better than competitors usually a losing strategy?4. How do I craft positioning that actually converts?5. What makes messaging stick with developers, enterprises, and consumers?6. What pricing experiments actually move revenue?7. What is working at OpenAI really like?8. Why does consistency and quality matter more than speed?—Brought to you by:Eppo — Run reliable, impactful experimentsAirtable ProductCentral—Launch to new heights with a unified system for product developmentLinkedIn Ads—Reach professionals and drive results for your business—Where to find Krithika Shankarraman:• X: https://x.com/krithix• LinkedIn: https://www.linkedin.com/in/krithix/• Website: https://krithix.com/—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 Krithika(04:22) Early marketing lessons from OpenAI(11:17) Diagnosing marketing needs(15:06) The DATE framework and why being cheaper is a race to the bottom(17:11) Marketing strategies at Retool(22:29) Insights from marketing at Stripe(32:33) The importance of consistent marketing communication(39:55) Criteria for hiring a marketing expert(41:43) “Capital M” vs. “lowercase m” marketing(43:05) ChatGPT vs. Claude: market dominance(45:31) The future of AI and its societal impact(47:09) Work-life balance(48:41) Transitioning to Thrive(52:35) Career advice for marketers(55:00) The importance of taste and creativity in the AI era(01:00:04) AI product pricing(01:03:21) AI tools in marketing(01:05:17) Failure corner(01:08:46) Lightning round and final thoughts—Referenced:• OpenAI: https://openai.com/• Stripe: https://stripe.com/• Retool: https://retool.com/• Dropbox: https://www.dropbox.com/• Sam Altman talks about his business model: https://www.youtube.com/watch?v=pLnyjxgFxew• The art and science of pricing | Madhavan Ramanujam (Monetizing Innovation, Simon-Kucher): https://www.lennysnewsletter.com/p/the-art-and-science-of-pricing-madhavan• Pricing your SaaS product: https://www.lennysnewsletter.com/p/saas-pricing-strategy• Netflix: https://www.netflix.com/• Stripe Connect: https://stripe.com/connect• John Collison on X: https://x.com/collision• Patrick Collison on X: https://x.com/patrickc• Cristina Cordova on LinkedIn: https://www.linkedin.com/in/cristinajcordova/• Hackpad: https://en.wikipedia.org/wiki/Hackpad• Building Wiz: the fastest-growing startup in history | Raaz Herzberg (CMO and VP Product Strategy): https://www.lennysnewsletter.com/p/building-wiz-raaz-herzberg• Wiz: https://www.wiz.io/• Thrive Capital: https://thrivecap.com/• Brian Chesky's new playbook: https://www.lennysnewsletter.com/p/brian-cheskys-contrarian-approach• Claude: https://claude.ai/new• ChatGPT: https://chatgpt.com/• Lessons from scaling Stripe | Claire Hughes Johnson (former COO of Stripe): https://www.lennysnewsletter.com/p/lessons-from-scaling-stripe-tactics• Databricks: https://www.databricks.com/• Everyone's an engineer now: Inside v0's mission to create a hundred million builders | Guillermo Rauch (founder and CEO of Vercel, creators of v0 and Next.js): https://www.lennysnewsletter.com/p/everyones-an-engineer-now-guillermo-rauch• Tobi Lütke's leadership playbook: Playing infinite games, operating from first principles, and maximizing human potential (founder and CEO of Shopify): https://www.lennysnewsletter.com/p/tobi-lutkes-leadership-playbook• OpenAI's CPO on how AI changes must-have skills, moats, coding, startup playbooks, more | Kevin Weil (CPO at OpenAI, ex-Instagram, Twitter): https://www.lennysnewsletter.com/p/kevin-weil-open-ai• April Dunford on product positioning, segmentation, and optimizing your sales process: https://www.lennysnewsletter.com/p/april-dunford-on-product-positioning• A step-by-step guide to crafting a sales pitch that wins | April Dunford (author of Obviously Awesome and Sales Pitch): https://www.lennysnewsletter.com/p/a-step-by-step-guide-to-crafting• Severance on AppleTV+: https://tv.apple.com/us/show/severance/• Granola: https://www.granola.ai/• Some people think AI writing has a tell—the em dash. Writers disagree: https://www.washingtonpost.com/technology/2025/04/09/ai-em-dash-writing-punctuation-chatgpt/—Recommended books:• Obviously Awesome: How to Nail Product Positioning So Customers Get It, Buy It, Love It: https://www.amazon.com/Obviously-Awesome-Product-Positioning-Customers/dp/1999023005• Circe: https://www.amazon.com/Circe-Madeline-Miller/dp/0316556327/—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. This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.lennysnewsletter.com/subscribe

Today's show: Chime is finally going public with strong financials and a shot at matching its $25B 2021 valuation, signaling real momentum in the IPO market. Databricks just made a $1B bet on agentic AI by acquiring Neon, a Postgres-as-a-service startup riding the new database wave. Then, Dave Rubin joins to share how he built and sold Locals, his uncancellable creator platform, all while navigating the intense media landscape.Timestamps:(0:00) Episode Teaser(1:14) Jason and Alex open the show(1:42) Why Chime's IPO is such a promising sign(7:22) Chime's financials and valuation(10:12) Squarespace - Use offer code TWIST to save 10% off your first purchase of a website or domain at https://www.Squarespace.com/TWIST(12:17) So why did Databricks buy Neon?(13:22) Where is the AI Integration Desktop App?(17:29) Jason's plan to bring Americans back to the movies(20:10) Northwest Registered Agent. Form your entire business identity in just 10 clicks and 10 minutes. Get more privacy, more options, and more done—visit northwestregisteredagent.com/twist today!(21:58) Make movies All-you-can-eat!(26:26) Special Guest: Dave Rubin(30:39) Lemon.io - Get 15% off your first 4 weeks of developer time at https://Lemon.io/twist(31:41) Why Dave Rubin goes phone free for weeks at a time(45:24) Why Identity politics is killing business and sports(49:23) Can Locals reinvent subscription models?Subscribe to the TWiST500 newsletter: https://ticker.thisweekinstartups.comCheck out the TWIST500: https://www.twist500.comSubscribe to This Week in Startups on Apple: https://rb.gy/v19fcpLinks from episode:Rubin Report on Locals: https://rubinreport.locals.com/Follow Dave:X: https://x.com/RubinReportYouTube: https://www.youtube.com/channel/UCJdKr0Bgd_5saZYqLCa9mngFollow Lon:X: https://x.com/lonsFollow Alex:X: https://x.com/alexLinkedIn: ⁠https://www.linkedin.com/in/alexwilhelmFollow Jason:X: https://twitter.com/JasonLinkedIn: https://www.linkedin.com/in/jasoncalacanisThank you to our partners:(10:12) Squarespace - Use offer code TWIST to save 10% off your first purchase of a website or domain at https://www.Squarespace.com/TWIST(20:10) Northwest Registered Agent. Form your entire business identity in just 10 clicks and 10 minutes. Get more privacy, more options, and more done—visit northwestregisteredagent.com/twist today!(30:39) Lemon.io - Get 15% off your first 4 weeks of developer time at https://Lemon.io/twistGreat TWIST interviews: Will Guidara, Eoghan McCabe, Steve Huffman, Brian Chesky, Bob Moesta, Aaron Levie, Sophia Amoruso, Reid Hoffman, Frank Slootman, Billy McFarlandCheck out Jason's suite of newsletters: https://substack.com/@calacanisFollow TWiST:Twitter: https://twitter.com/TWiStartupsYouTube: https://www.youtube.com/thisweekinInstagram: https://www.instagram.com/thisweekinstartupsTikTok: https://www.tiktok.com/@thisweekinstartupsSubstack: https://twistartups.substack.comSubscribe to the Founder University Podcast: https://www.youtube.com/@founderuniversity1916

As AI reshapes the retail advertising landscape, are you leveraging it as a competitive advantage, or are you at risk of being left behind in a data-driven world? Today, we're joined by Uldis Baumerts, Chief Operating Officer of Bryj Technologies, a leader in driving AI-powered innovations for the retail industry. Uldis has extensive experience in transforming the way businesses approach advertising and customer engagement, making him the perfect guest to discuss the transformational role of AI in retail advertising and the future of marketing technology. We're going to be talking about Bryj's recent report, The 2025 Ultimate Guide to AI in Advertising and Retail Marketing, and more Uldis Baumerts, COO at Bryj Technologies, Inc. With over 15 years of experience leading AI-powered product development, large-scale e-commerce platforms, and global IT operations, I specialize in turning strategic vision into innovative, scalable solutions. My leadership is defined by a data-driven approach, technical proficiency, and a track record of delivering measurable business results in fast-paced, high-growth environments. AI & Technology Leadership As COO of Bryj Technologies, I lead cross-functional teams in driving the company's AI-powered mobile engagement platform. I spearheaded the launch of ChatROI, a solution that delivers 15-30% performance uplift for customers and reduces campaign creation time by up to 10-15x. By integrating large language models (LLMs) and Databricks-powered analytics, I ensure our solutions remain at the forefront of innovation, driving both product differentiation and customer success. Key Achievements: Over 15 years of experience in tech leadership, product innovation, and IT operations. Led the growth of a tech organization from 25 to 500+ professionals, with 300% revenue growth over 4 years. Delivered 350+ enterprise e-commerce projects across 23 countries. Launched an AI-powered solution that drove 15-30% performance improvements and 10-15x faster campaign creation for clients. Improved operational efficiency by 20% through agile transformations and scalable delivery frameworks. I am passionate about using AI and emerging technologies to drive innovation, unlock new growth opportunities, and create lasting business impact. If your organization seeks a leader with a proven ability to scale operations, execute complex projects, and deliver cutting-edge solutions, I'm ready to lead the charge. RESOURCES Bryj: https://www.bryj.ai Bryj: AI in Retail Marketing Guide: https://www.bryj.ai/unlock-the-potential-of-ai-in-retail-marketing-with-a-step-by-step-guide/ Catch the future of e-commerce at eTail Boston, August 11-14, 2025. Register now: https://bit.ly/etailboston and use code PARTNER20 for 20% off for retailers and brands Don't Miss MAICON 2025, October 14-16 in Cleveland - the event bringing together the brights minds and leading voices in AI. Use Code AGILE150 for $150 off registration. Go here to register: https://bit.ly/agile150 Connect with Greg on LinkedIn: https://www.linkedin.com/in/gregkihlstrom Don't miss a thing: get the latest episodes, sign up for our newsletter and more: https://www.theagilebrand.show Check out The Agile Brand Guide website with articles, insights, and Martechipedia, the wiki for marketing technology: https://www.agilebrandguide.com The Agile Brand podcast is brought to you by TEKsystems. Learn more here: https://www.teksystems.com/versionnextnow The Agile Brand is produced by Missing Link—a Latina-owned strategy-driven, creatively fueled production co-op. From ideation to creation, they craft human connections through intelligent, engaging and informative content. https://www.missinglink.company