Podcasts about snowflakes

Sachin Kansal is chief product officer at Uber, where he oversees the Rider, Driver, Delivery, Grocery, and New Verticals product lines used for 33 million daily trips worldwide. He's been in product for over 25 years (at Google, Palm, Flywheel, and now Uber). He is known for his “extreme dogfooding” ethos—personally completing almost a thousand Uber driving and delivery trips to sharpen his product insight and user empathy—and his “ship, ship, ship” mantra, which drives rapid iteration across Uber's global teams.What you will learn:1. Dogfooding at scale2. “Ship, ship, ship” as a cultural mantra3. Obsession with inputs over outputs4. Uber's hybrid marketplace vision for autonomy5. How Uber changed its culture to focus on profitability6. What to do when data says “no” but your gut says “yes”7. Career advice: maximize cycles8. AI as a research assistant, not an oracle9. Uber rider etiquette tips—Brought to you by:• Paragon—Ship every SaaS integration your customers want• Stripe—Financial infrastructure to grow your revenue• Coda—The all-in-one collaborative workspace—Where to find Sachin Kansal:• LinkedIn: https://www.linkedin.com/in/sachinkansal/—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) Sachin's background(05:00) Dogfooding in practice(11:24) Empathy and understanding drivers(20:18) Balancing metrics and user experience(22:04) Operationalizing dogfooding(24:26) Challenges and solutions in dogfooding(29:49) The motto: “ship, ship, ship”(36:37) Product announcements and live demos(40:49) Career advice for product managers(43:51) The evolution of product management with AI(46:55) Collaboration between engineers and product managers(49:36) Uber's vision for self-driving cars(55:59) Uber's path to profitability(01:01:58) Balancing data and gut decisions(01:07:21) AI tools in product management(01:10:14) Failure corner(01:13:48) Lightning round and final thoughts—Referenced:• Uber: https://www.uber.com/• Oracle: https://www.oracle.com/• Snowflake: https://www.snowflake.com/en/• Fivetran: https://go.fivetran.com/• Uber for Business: https://www.uber.com/us/en/business• McDonald's: https://www.mcdonalds.com/• Domino's: https://www.dominos.com• PalmPilot: https://en.wikipedia.org/wiki/PalmPilot• Praveen Neppalli Naga on LinkedIn: https://www.linkedin.com/in/pneppalli/• May Mobility: https://maymobility.com/• Uber strikes deal with May Mobility to deploy ‘thousands' of robotaxis: https://www.theverge.com/news/659563/uber-may-mobility-autonomous-ridehail-partnership• Waymo: https://waymo.com/• WeRide: https://www.weride.ai/• Uber and Avride Announce Autonomous Delivery and Mobility Partnership: https://investor.uber.com/news-events/news/press-release-details/2024/Uber-and-Avride-Announce-Autonomous-Delivery-and-Mobility-Partnership/default.aspx• Dara Khosrowshahi on X: https://x.com/dkhos• Uber Elevate: https://www.uber.com/us/en/elevate/vision/• Uber AV: https://www.uber.com/us/en/autonomous/• Uber Reserve: https://www.uber.com/us/en/ride/how-it-works/reserve/• Uber for teens: https://www.uber.com/us/en/ride/teens/• Flywheel: https://www.flywheel.com/• ChatGPT: https://chatgpt.com/• Gemini: https://gemini.google.com/app• NotebookLM: https://notebooklm.google/• Behind the product: NotebookLM | Raiza Martin (Senior Product Manager, AI @ Google Labs): https://www.lennysnewsletter.com/p/googles-notebooklm-raiza-martin• BlackBerry: https://en.wikipedia.org/wiki/BlackBerry• Peaky Blinders on Netflix: https://www.netflix.com/title/80002479• Deep research: https://openai.com/index/introducing-deep-research/—Recommended books:• Blitzscaling: The Lightning-Fast Path to Building Massively Valuable Companies: https://www.amazon.com/Blitzscaling-Lightning-Fast-Building-Massively-Companies/dp/1524761419• Nobody Wants to Read Your Sh*t: Why That Is And What You Can Do About It: https://www.amazon.com/Nobody-Wants-Read-Your-Sh-ebook/dp/B01GZ1TJBI• Steve Jobs: https://www.amazon.com/Steve-Jobs-Walter-Isaacson/dp/1451648537• Elon Musk: https://www.amazon.com/Elon-Musk-Walter-Isaacson/dp/1982181281• The Hard Thing About Hard Things: Building a Business When There Are No Easy Answers―Straight Talk on the Challenges of Entrepreneurship: https://www.amazon.com/Hard-Thing-About-Things-Building/dp/0062273205—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

This week we're joined by Nate Moran, Senior Director of Growth, Digital Strategy & Analytics at Edgewell Personal Care—the company behind brands like Schick, Banana Boat, Wet Ones, and more. With a career spanning Red Bull, Newell, Unilever, and now Edgewell, Nate brings a sharp perspective on what it takes to turn data into decisions and insights into impact.In this conversation, Nate and host Dave Feinleib explore the evolving relationship between analytics, creative, performance marketing, and AI. They dig into how Nate and his team think about data strategy, omnichannel planning, and the question on every marketer's mind: where should we spend the next dollar?If you're navigating retail media, e-commerce, or digital growth today, this episode offers a smart, candid look at the challenges—and opportunities—of scaling modern brand performance.Key Takeaways & Episode HighlightsWhy profitability, performance, and category management need to work together in an omnichannel world—and how Edgewell ties these functions across the business.What “the next best dollar” means at Edgewell, and how the team balances incrementality, ROAS, and long-term brand health.Lessons from managing 30,000+ SKUs at Amazon (before APIs made it easy) and how those scrappy skills still apply today.The role of a clear, focused data strategy—and why owning your data is critical for AI readiness and true self-serve analytics.How AI and generative tools like ChatGPT and Snowflake are reshaping workflows, and why agentic AI might be the real unlock for the future.Why creative still matters: performance spend alone won't build trust or brand love—and how to balance emotional storytelling with analytics-driven media.Rapid Rundown QuestionsFavorite Edgewell product: Jack Black Dual Defense SPF MoisturizerBrand that's nailing it creatively: Liquid DeathGo-to tech tools: ChatGPT and SnowflakeFavorite read/listen: The Long and the Short of It by Les Binet and Peter FieldFavorite way to recharge: Mountain biking and snowboarding in Bend, OregonConnect with Nate: https://www.linkedin.com/in/nathanmoran/Get the It'sRapid Creative Automation Playbook: https://itsrapid.ai/creative-workflow-automation-playbook/Take It'sRapid's Creative Workflow Automation with AI survey: https://www.proprofs.com/survey/t/?title=ffgvdEmail us at sales@rapidads.io with code “BEYOND2025” to find out how you can save more than $1,000 on our Digital Sell Sheets and Retail Media Automation solutionsTheme music: "Happy" by Mixaud - https://mixaund.bandcamp.comProducer: Jake Musiker

Marcos Rivera is the founder of Pricing I/O and author of "Street Pricing." He brings 25 years of pricing experience, including a three-year tenure as an operating executive at Vista Equity Partners where he worked on pricing strategies across multiple portfolio companies. He's been running Pricing.io since 2019 and is passionate about the intersection of pricing and AI. In this episode, Marcos shares his insights on the evolving landscape of pricing in the age of AI, the importance of capturing value, and how companies can differentiate themselves in a competitive market. Together, they discuss the shift from traditional pricing models to outcome-based pricing and the role of AI in enhancing pricing strategies.   Why you have to check out today's podcast: Discover how AI is changing the pricing landscape and what it means for businesses.  Explore the relationship between pricing, value, and customer outcomes. Learn about the importance of low-friction entry points in pricing strategies.   “AI forces you to walk the walk versus talk the talk.” – Marcos Rivera   Topics Covered: 02:48 – The evolution of pricing in SaaS where the system gets credit for capturing more value using AI. 05:36 – The significance of capturing value quickly and efficiently. 08:09 – Differentiation in a competitive market and the role of pricing power. 12:16 – The importance of entry points and reducing friction for customers. 14:44 – How product design and pricing design are interconnected. 17:07 – The challenges of pricing in the AI landscape. 18:59 – Marcos's approach to using AI in pricing strategies. 28:56 – Pricing advice from Marcos.   Key Takeaways: “Pricing is about capturing value, and AI opens up new opportunities for that.” – Marcos Rivera  “Entry points matter; make them as low friction as possible.” – Marcos Rivera  “Understanding how to differentiate your offering is crucial in a crowded market.” – Marcos Rivera   People and Resources Mentioned: Steven Forth: https://impactpricing.com/podcast/691-pricing-in-the-agent-economy-the-future-beyond-subscriptions-with-steven-forth/ Vista Equity Partners: https://www.vistaequitypartners.com/ Pricing.io: https://www.pricingio.com/ Finn AI: https://www.glia.com/ Zendesk: https://www.zendesk.com/ Cursor: https://www.cursor.com/ HubSpot: https://www.hubspot.com/ Salesforce: https://www.salesforce.com/ Snowflake: https://www.snowflake.com/en/ Netflix: https://www.netflix.com/ Slack: https://slack.com/ 99designs: https://99designs.com/ DeepSeek: https://www.deepseek.com/en ChatGPT: https://openai.com/ Claude: https://claude.ai/ Grok: https://grok.com/ Perplexity: https://www.perplexity.ai/   Connect with Marcos Rivera: LinkedIn: https://www.linkedin.com/in/marcoslrivera/ Website: https://www.pricingio.com/    Connect with Mark Stiving: LinkedIn: https://www.linkedin.com/in/stiving/  Email: mark@impactpricing.com  

¡Emprendeduros! En este episodio Rodrigo nos da una actualización de mercado donde habla del estatus del mercado, del viaje de Trump al Medio Oriente, de la baja de calificacion de los bonos soberanos, de la nueva propuesta de baja de impuestos y de los riesgos de deuda. Nos da los reportes de ingresos de Alibaba, Walmart, Home Depot, Palo Alto Networks y Snowflake. Después habla de las fusiones y adquisiciones de esta semana en el mercado. Finalmente, en la actualizacion de crypto habla de Coinbase y sus muy activas dos semanas. ¡Síguenos en Instagram! Alejandro: https://www.instagram.com/salomondrin Rodrigo: https://www.instagram.com/rodnavarro Emprendeduros: https://www.instagram.com/losemprendeduros

Logan sits down with Jeffrey Katzenberg, Hollywood legend and co-founder of DreamWorks, and Sujay Jaswa, former CFO of Dropbox - together, the duo behind WndrCo. They talk about building enduring companies, bridging tech and media, and what makes a great CEO partnership. The conversation also touches on storytelling as a business superpower and lessons from scaling at different stages. Whether you're a founder or a media nerd, there's something here for you. (00:00) Intro (04:26) The Genesis of the Partnership (13:06) Building and Investing in Companies (20:27) The Team and Their Roles (26:52) Decision-Making Process (33:25) Balancing Dreams and Skepticism (35:06) The Dynamics of Partnerships (37:25) Transitioning to Tech (38:45) Cultural Differences in Industries (41:26) The Value of Failure and Success (44:37) Excitement in Emerging Technologies (48:23) The Venture Capital Game (56:42) The Dropbox Talent Network (01:01:20) AI's Impact on Media and Creativity (01:06:18) Transitioning to CG Animation at DreamWorks (01:08:39) Embracing Change in the Intelligence Revolution (01:11:52) The Role of AI in Enhancing Productivity (01:14:11) Building a Consumer Cybersecurity Business (01:23:49) The Mission to Protect Children Online (01:35:17) Reflections on Partnership and Innovation 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

Gopal Krishnamurthy is the founder and CEO of Lumel, which has a suite of products focused on enterprise performance management (EPM). Their apps allow users to plan, report, and analyze data using the modern native app framework vs. traditional SaaS on top of modern cloud data platforms such as Microsoft Fabric, Snowflake, Databricks, and others. Lumel's products provide a full stack of integrated Planning, BI & data apps on the customers' data platforms. He grew his enterprise services company, Visual BI, to over 200 employees and sold that company to Atos in 2021, as he described in his first Practical Founders podcast interview in 2023. Gopal self-funded Lumel with a VC-sized investment and has grown it to over 300 employees in four years. Lumel is already at a revenue run rate of over $12M ARR and is growing fast. Lumel is building its apps using modern cloud data platforms, not siloed SaaS databases, allowing it to manage real-time data across applications. This bold new vision and architecture for enterprise software apps align with modern data approaches supporting AI, creating a billion-dollar opportunity for Lumel in the future. In this episode, Gopal also discusses: The challenge of transitioning from custom services to a no-touch product-led approach selling to enterprises Why VCs wouldn't understand their technology bet and why their patience is paying off What it's like to grow a fast-growth and innovative technology company as a bootstrapper Quote from Gopal Krishnamurthy, founder and CEO of Lumel “The main thing is it's a big market. It's not like we are just trying to get our first $10 million revenue. We have done that with Lumel already. We are looking at how we can get to a billion-dollar ARR business. That's the big, bold vision. We have invested tens of millions already, and we are almost profitable. “We think we can absolutely create a billion-dollar business based on our customer feedback and traction from 3,000 customers. So, it's not a question of product market fit. We worked with hundreds of our enterprise customers and perfected our data app products. “The other thing is that our products can work for smaller and medium-sized businesses because of our architecture and approach. It's completely horizontal: it works for all industries and all customers of all sizes.” Links Gopal Krishnamurthy on LinkedIn Lumel on LinkedIn Lumel website Power BI website The Practical Founders Podcast Tune into the Practical Founders Podcast for weekly in-depth interviews with founders who have built valuable software companies without big funding. Subscribe to the Practical Founders Podcast using your favorite podcast app or view on our YouTube channel. Get the weekly Practical Founders newsletter and podcast updates at practicalfounders.com.

Carl Quintanilla, Jim Cramer and David Faber led off the show with market reaction to the House passing President Trump's big tax and spending cuts bill: The 30-year bond yield rose above 5.1-percent and solar stocks plunged. New data from across the Atlantic show China's BYD sold more fully electric vehicles in Europe than Tesla last month for the first time. Also in focus: a fresh record high for Bitcoin, OpenAI buys former Apple executive Jony Ive's AI startup, Snowflake surges, Faber reacts to the Indiana Pacers' stunning comeback victory over the New York Knicks in the NBA Playoffs.Squawk on the Street Disclaimer

Stocks drifted lower and yields moved higher as investors digested cautious signals across the markets. Barbara Doran of BD8 and Scott Chronert, Citi U.S. Equity Strategist join to break down the day's pullback and explain why defensive positioning remains in focus. Snowflake and Zoom Video report earnings, while Urban Outfitters offered a fresh read on the retail consumer. White House crypto czar David Sacks joins to discuss the stablecoin vote in Congress and the evolving AI landscape. AT&T CEO John Stankey on the company's acquisition of Lumen's fiber business for nearly $6B. Our Phil LeBeau on a surprising stat: the average age of a U.S. car has hit an all-time high of 12.8 years, signaling deeper trends in consumer behavior and the auto industry. 

US House Speaker Johnson said a Thursday tax bill floor vote is still realistic.China's Commerce Ministry said US measures on China's advanced chips are typical of unilateral bullying and protectionism.Europe opened mostly lower but now trade mixed, US equity futures are in the red.USD remains out of love, GBP digests hot CPI data, EUR/USD back above 1.13.Bearish bias in play, Gilts lag after hot CPI, USTs await fiscal updates.Energy and gold boosted by reports Israel is preparing a possible strike on Iranian nuclear facilities.Looking ahead, G7 Central Bank and Finance Ministers Meeting, Speakers including ECB's Lagarde, Lane, Nagel & Cipollone, Fed's Barkin & Bowman, Supply from the US, Earnings from Snowflake, Zoom, Target, TJX, VF Corp & Medtronic.Read the full report covering Equities, Forex, Fixed Income, Commodites and more on Newsquawk

Dan Nathan is joined by Brad Erickson, an internet analyst at RBC Capital Markets, at the RBC Capital Private Tech Conference. They discuss the performance and outlook of key tech stocks like Google and Meta amidst market volatility and AI developments. The conversation highlights the impact of AI search on Google's revenue and the competitive landscape between Google and Apple. Erickson also touches on Meta's growth in advertising efficiency and new product rollouts. After the break, Dan dives into the broader effects of generative AI on other software companies like ServiceNow and Snowflake with Matt Hedberg, Managing Director and Head of Software Research at RBCCM. Hedberg elaborates on the early monetization of AI in software, the long-term potential of companies like Snowflake and ServiceNow, and the strategic importance of cybersecurity firms like CrowdStrike and Palo Alto in an evolving tech landscape. —FOLLOW USYouTube: @RiskReversalMediaInstagram: @riskreversalmediaTwitter: @RiskReversalLinkedIn: RiskReversal Media

This is episode 758. Read the complete transcription on the Sales Game Changers Podcast website. Read more about the Institute for Effective Professional Selling Premier Women in Sales Employer (PWISE) designation and program here. Purchase Fred Diamond's best-sellers Love, Hope, Lyme: What Family Members, Partners, and Friends Who Love a Chronic Lyme Survivor Need to Know and Insights for Sales Game Changers now! Today's show featured an interview with Kevin Davis, President of Public Sector at OpenText, and his daughter Taylor Davis, a Federal Account Executive at Snowflake. IEPS Women in Sales Program Director Gina Stracuzzi also co-hosted the interview. Find Kevin on LinkedIn. Find Taylor on LinkedIn. KEVIN'S TIP: “Everything you do, especially in sales, is a reflection. Be coachable. Protect your brand.” TAYLOR'S TIP: “I was obsessed with being the best version of myself. The athlete's drive carries over into sales.”  

We hope you enjoy today's Scripture reading and devotional aimed at motivating you to apply God's word while strengthening your heart and nurturing your soul. Today's Bible reading is Psalm 147. To read along with the podcast, grab a print copy of the devotional. Browse other resources from Gloria Furman. ESV Bible narration read by Kristyn Getty. Follow us on social media to stay up to date: Instagram Facebook Twitter

Welcome to another installment of Fratello On Air. This week, we respond to a listener's request for a strap episode. Today's show covers how to choose, which brands we enjoy, and pairing specific watches. Enjoy it! For our listeners, the watch content begins after approximately 21 minutes.There's no other way to put it — Balazs is a strap monster! His Watch Strap Review articles are legendary and quite literally span the globe, as far as covering different makers. Comparatively speaking, Mike is a novice, but he's learned a few tricks from the master. Today, we address the topic from many angles.HandgelenkskontrolleWe kick off the show with some news about local London watch events from Fears and Vacheron Constantin. Regarding TV, Your Friends & Neighbors has started well and offers some watch-related content. For the Handgelenkskontrolle, Mike is wearing his trusty Patek Philippe Calatrava 570 after forgetting to wear a watch during a recent watch event. Balazs is sporting his bulletproof G-Shock GW-B5600-2ER with Bluetooth.Picking the right strap and more!Our listener Alex asked many questions about one of the most important accessories, the watch strap. In this episode, we discuss our favorite brands, including GLC, Gabarro, Delugs, Atelier Romane, and more! Different leather types, styles, and buckles also surface during the conversation. We mention that there's no such thing as a good, dirt-cheap leather strap, but that a good accompaniment doesn't have to cost a fortune. Finally, we respond to Alex's question about pairings with the Tudor Submariner 94010 "Snowflake" and a modern 42mm Zenith Chronomaster.We hope you enjoy today's show and look forward to bringing you more content next week. As always, if you have ideas for future episodes, please let us know!

In this wholly sponsored Soap Box edition of the show, Patrick Gray chats with Adam Bateman and Luke Jennings from Push Security. Push has built an identity security platform that collects identity information and events from your users' browsers. It can detect phish kits and shut down phishing attempts, protect SSO credentials, and find shadow/personal account that a user has spun up. It's extremely difficult to bypass. That's because when you're in the browser it doesn't matter how a phishing link arrives, or how a threat actor has concealed it from your detection stack – if the user sees it, Push sees it. There are solutions for protecting your users SSO credentials, like passkeys. But what about all the SaaS in your environment? Even if it's enrolled into your SSO, are you sure that's how your users are authenticating to it? What about the automation platforms your developers and admins use? What about data platforms like Snowflake? Are your using setting up passkeys for those accounts? How would you know, and what problems can it cause if those accounts are vulnerable? This is a fun one! This episode is also available on Youtube. Show notes

In this episode, Logan is joined by Zach Weinberg (Co-Founder/CEO @ Curie.Bio) and Derek Thompson (writer at The Atlantic) for a candid discussion on the state of U.S. healthcare and scientific progress. They unpack what went right, and wrong, with COVID vaccine policy, the public backlash against mRNA technology, and the ripple effects on trust in science. The conversation also dives into the real reasons behind NIH budget cuts, the economics of drug discovery, and the business incentives in medical R&D. It's a sharp, thought-provoking look at the intersection of policy, innovation, and public perception. (00:00) Introduction to Drug Pricing in the US (00:23) Broad Healthcare Topics and Open-Ended Discussion (02:37) COVID-19 Vaccines: Successes and Public Perception (06:21) The Evolution of COVID-19 and Vaccine Efficacy (07:59) Public Policy and Vaccine Mandates (13:10) Impact of School Closures and Public Sentiment (19:23) NIH Funding and the Importance of Basic Research (25:04) Challenges in Science Funding and Public Perception (35:19) Government vs. Private Investment in Science (36:40) Operation Warp Speed: A Case Study (39:07) Antibiotic Resistance Crisis (43:22) The Drug Pricing Debate (44:05) Challenges in Drug Discovery (54:06) Regulatory Hurdles in Medical R&D (58:06) The Future of Drug Development (01:04:19) Concluding Thoughts 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

Why bring data to SaaS applications when you can bring the applications to your data? That's what modern data platforms do, says Erin Foxworthy, global industry go-to-market lead for marketers and advertisers at Snowflake. Cloud-based platforms, meanwhile, are becoming the foundation for technologies that are increasingly integral to how digital advertising functions.

The Road to ‘Service-as-Software.' Salesforce co-founder and CEO Marc Benioff is articulating a bold vision for the next era of enterprise software. In an exclusive interview with theCUBE on April 25, 2025, Benioff outlined how AI-driven agents and a unified data architecture will transform Software as a Service (SaaS) into what we're calling “Service as Software” – a model where software-based digital agents augment every business process. The Salesforce chief has often quipped that today's CEOs are “the last generation of executives leading exclusively human workforces,” underscoring his conviction that AI agents (what many call agentic AI) will soon work alongside humans in every enterprise. Our premise is that this “digital labor” revolution could be more disruptive than the cloud and mobile waves of 15 years ago, fundamentally redefining how applications function. In this Breaking Analysis, we focus on Salesforce's Agentforce and Data Cloud strategies – the twin pillars of its agentic vision – and how they position the company to become what we call the first software-only hyperscaler. We also examine the broader industry context, including competitive dynamics with Microsoft and Salesforce's interoperability with platforms like Snowflake, Databricks and AWS.FULL ARTICLE: https://thecuberesearch.com/276-breaking-analysis-salesforce-agentforce-data-cloud-a-path-to-the-software-only-hyperscaler/

We all talk about #AI, but what good is it if your models are powered by stale, outdated data?In Episode 99 of Great Things with Great Tech, Deepti Srivastava, founder and CEO of Snow Leopard, and former founding PM of Google Spanner, calls out the broken state of enterprise AI. With decades of experience in distributed systems and data infrastructure, Deepti unveils how Snow Leopard is redefining how AI applications are built, by tapping into live, real-time data from SQL and APIs without the need for ETL or pipelines.Instead of relying on static snapshots or disconnected data lakes, Snow Leopard's #agentic platform queries native sources like PostgreSQL, Snowflake, and Salesforce on-demand, empowering AI to live directly in the critical decision path.In This Episode, We Cover:Deepti's journey from building Spanner at Google to founding Snow Leopard AI.Why most enterprise AI fails due to reliance on stale data and outdated pipelines. How Snow Leopard federates live data across SQL and APIs with zero ETL.The limitations of vector databases in structured, real-time business use cases.Why putting AI in the critical path of business decisions unlocks real value.Snow Leopard is a U.S.-based technology company founded in 2023 by and is Headquartered in San Francisco, CaliforniaSnow Leopard specializes in building a platform that enables the development of production-ready AI applications by leveraging live business data. The company's approach focuses on real-time data retrieval directly from sources like SQL databases and APIs, eliminating the need for traditional ETL processes and data pipelines. This innovation allows for more accurate and timely AI-driven business decision.PODCAST LINKSGreat Things with Great Tech Podcast: https://gtwgt.comGTwGT Playlist on YouTube: https://www.youtube.com/@GTwGTPodcastListen on Spotify: https://open.spotify.com/show/5Y1Fgl4DgGpFd5Z4dHulVXListen on Apple Podcasts: https://podcasts.apple.com/us/podcast/great-things-with-great-tech-podcast/id1519439787EPISODE LINKSSnow Leopard Web: https://www.snowleopard.ai/Deepti Srivastava on LinkedIn:https://www.linkedin.com/in/thedeepti/Snow Leopard on LinkedIn: https://www.linkedin.com/company/snow-leopard-ai/GTwGT LINKSSupport the Channel: https://ko-fi.com/gtwgtBe on #GTwGT: Contact via Twitter/X @GTwGTPodcast or visit https://www.gtwgt.comSubscribe to YouTube: https://www.youtube.com/@GTwGTPodcast?sub_confirmation=1Great Things with Great Tech Podcast Website: https://gtwgt.comSOCIAL LINKSFollow GTwGT on Social Media:Twitter/X: https://twitter.com/GTwGTPodcastInstagram: https://www.instagram.com/GTwGTPodcastTikTok: https://www.tiktok.com/@GTwGTPodcast

Yotam Segev is the co-founder and CEO of Cyera, one of the fastest-growing cybersecurity startups in the world. In this episode, he joins Logan to talk about scaling Cyera from 100 to 550 employees in under two years, what it takes to operate at that speed, and why going slow can actually be riskier. They cover lessons from a tough go-to-market year, the emotional conviction behind choosing data security, and how Yotam thinks about platform expansion, hiring, and staying close to customers. It's a candid look at the mindset and mechanics behind building an elite security company at breakneck pace.(00:00) Intro(01:23) Yotam's Journey in Cybersecurity(02:30) Scaling a Company with Core Values(05:02) Founding Cyera: From Military to Startup(07:59) Entering the Venture Ecosystem(18:19) Early Challenges and Lessons Learned(22:36) Achieving Product-Market Fit(33:01) Ambitious Goals and Rapid Growth(37:39) The Future of Cybersecurity(39:07) The Cybersecurity Paradigm Shift(39:47) Entrepreneurship and Innovation in Cybersecurity(40:25) The Cat and Mouse Game of Cybersecurity(42:47) Traits of Effective CISOs(43:55) Expanding the Cybersecurity Platform(52:36) The Role of AI in Cybersecurity(01:03:25) The Impact of the October 2023 Attack on Israel(01:08:27) Leadership and Company Culture at Cyera(01:12:33) Reflections on Success and Future Goals(01:21:37) Fundraising and Partnerships(01:26:07) Hiring and Company GrowthExecutive Producer: Rashad AssirProducer: Leah ClapperMixing and editing: Justin HrabovskyCheck out Unsupervised Learning, Redpoint's AI Podcast: https://www.youtube.com/@UCUl-s_Vp-Kkk_XVyDylNwLA

Why I won't be buying Palantir technologies anytime soon When I'm out in public many times people ask me what my opinions are when it comes to investing, the markets or individual stocks. I have to say the one stock that people seem to be asking the most about recently is Palantir Technologies, their ticker symbol is PLTR. I believe I'm asked about this company because investors look at the hype of the past performance and the fact that this stock is up over 1,000% since going public in 2020. That creates excitement for investors, but is it worth buying now? The company currently trades around 60 times next year's estimated sales, and again that is sales not earnings! That makes it the most expensive stock in the S&P 500. There are signs that growth outside of the US is slowing and I don't like that they have three unnamed companies that accounted for 17% of the total revenue last year. Usually hype like this goes the same path, which ultimately results in large losses for buyers at this point in the cycle. A more recent example comes from the company Snowflake. In 2021, Snowflake hit an all-time high over $400 per share. Today that stock is down nearly 60% and trades around $167 per share. You don't hear much about it now, but I remember back in 2021 many people were asking about this company as well. I'm also not thrilled with Palantir's CEO, Alex Karp, who during an interview just a few months ago had some pretty nasty comments about analysts who don't agree with him on the stock price. He said “I love the idea of getting a drone and having light fentanyl laced urine spraying on analysts who've tried to screw us.” Maybe I'm old school, but I don't think that is anyway for the CEO of a company of any size to talk about anyone that does not agree with the CEO's position. Especially considering many times they aren't knocking the business, just the fact that this company's valuation is extremely crazy! I will also try my best to refrain from making any comments on Mr. Karp's hairstyle, but it just seems a little bit outlandish for a CEO to have that type of hairstyle. As far as the stock goes, maybe the craziness will continue and perhaps it does go higher, but if people ask me if they should buy, sell, or hold the stock, I would definitely say sell! I guess I now have to be careful of drones flying above my head that could be spraying fentanyl laced urine on me.   Good news, only 26% of big money managers are bullish A recent poll from Barron‘s magazine, which they conduct twice a year, found that only 26% of big money managers were bullish and thought stocks would go up while 74% were either neutral or bearish on stocks. They said 32% of respondents were bearish and that was the highest percent since 1997 while the 26% that were bullish marked the lowest reading since 1997. I think Barron's Magazine is a good source of information, but I was disappointed that they did not list the years of experience of the managers that were being polled. The reason for my concern is that the last big negative in the economy and the market was in 2008, which was 17 years ago. A current manager that graduated school at age 23 would now be 40 years old and they did not experience managing money through 2008. Living through and managing money through a challenge like that provided me with extremely valuable lessons that younger managers would not understand. But why is this negative report a good sign in my opinion? Their current asset allocation is only 64% in equities with 36% in other investments like fixed income and cash. They will not stay bearish forever and if they change direction in the next 6 to 12 months, they will start buying equities again, which will push up prices. If you're looking for value, the least attractive sectors were energy, real estate, and utilities. I have talked about my concerns around the Magnificent Seven and now only 10% of these managers think the Mag Seven will lead the market over the next six months. Even looking out 12 months only climbed 32% thought the group would lead the market. When asked about the strength of the US dollar going forward 12 months, 68% of the money managers said it will be weaker, which I agree with. Only 15% of the managers think it will be stronger a year from now. These surveys also provide an interesting insight into what other money managers are thinking.   Apple's stock continues to amaze me There seems to be so much negative news that continues to come out against Apple, but the stock continues to remain relatively steady given the amount of negativity. We all know about the tariffs and the delayed AI rollout, but I was definitely concerned by a couple announcements that would have large impacts on Apple's service revenue. This segment has been a bright spot for Apple, but in the most recent quarter it missed expectations and grew at just 11.6% compared to last year. The big concern I have is around Alphabet's estimated payment of around $20 billion annually to be the default search engine. There is concern if this will hold up given the ruling that Alphabet holds a monopoly and the need for remedies, but also this week Apple executive, Eddy Cue, added additional concerns. He stated the searches in Apple's Safari browser fell for the first time in April, something that has never happened in 20 years. He then added that the iPhone maker is looking at adding AI search options to the Safari browser. If they did this, would Alphabet really want to keep paying $20 billion a year for that right? I don't think so! The other major concern that seemed to get little attention was the fact that in a recent ruling a judge ordered Apple to immediately stop imposing commissions on purchases made for iPhone apps through web links inside its apps. This has enabled developers like Amazon and Spotify to update their apps to avoid Apple's commissions and direct customers to their own website for payments. This commission rate was around 27% for Apple and it could cost Apple billions of dollars annually. All this comes with the fact that Apple still trades around 25x 2026 earnings even though revenue is only estimated to grow low to mid-single digits. In my opinion, Apple really needs some good/exciting news to get this stock moving higher and at this time I don't see where that is going to come from.   Financial Planning: Breaking Down Retirement Income Taxation Retirement income varies widely in tax treatment, with some sources being far less tax-friendly than others. In order from worst to best, pension payments and traditional IRA withdrawals are among the least favorable—they're fully taxable as ordinary income at both the federal and state levels. Interest income from bonds, CDs, and savings accounts, as well as annuity earnings from non-retirement accounts, are also taxed as ordinary income at both levels and can trigger the additional 3.8% Net Investment Income Tax (NIIT) if income thresholds are exceeded. Rental income is similarly taxed but allows deductions and depreciation to offset some of the tax burden. Long-term capital gains and qualified dividends receive preferential federal tax rates—as low as 0%—but are still taxed as ordinary income in California and many other states. Social Security is partially taxed at the federal level—between 0% and 85% is included as taxable income depending on total income—but is not taxed in most states, including California, making it relatively tax-favorable. Roth IRA withdrawals are the most tax-friendly, being completely tax-free at both the federal and state levels if qualified. Understanding how each income type is taxed can help guide investment decisions during working years and inform how to structure withdrawals in retirement for optimal tax efficiency.   Companies Discussed: The Scotts Miracle-Gro Company (SMG), Block, Inc. (XYZ), Amazon, Inc. (AMZN) & McDonald's Corporation (MCD)

Rick Song is the co-founder and CEO of Persona, the identity verification platform used by some of the world's largest companies. Before starting Persona, Rick worked on identity fraud and risk products at Square, which laid the groundwork for what would become Persona's highly technical, horizontal platform. Since founding the company, Rick has scaled Persona into a category-defining leader, recently raising a $200M Series D at a $2B valuation. In today's episode, we discuss: How Rick's skepticism shaped Persona's early strategy What it takes to scale a true platform company Successful execution in hypercompetitive markets What Rick's learned from his co-founder, Charles Yeh and much more… Referenced: Accenture: accenture.com Anthropic: anthropic.com Braze: braze.com Bridgewater Associates: bridgewater.com Charles Yeh: linkedin.com/in/charlesyeh/ Christie Kim: linkedin.com/in/christiekimck/ Clay: clay.com Kareem Amin: linkedin.com/in/kareemamin/ MIT: mit.edu Newfront: newfront.com Palantir: palantir.com/ Persona: withpersona.com Rippling: rippling.com Scale AI: scale.com Snowflake: snowflake.com Square: squareup.com Y Combinator: ycombinator.com Zachary Van Zant: linkedin.com/in/zacharyv/ Where to find Rick: LinkedIn: https://www.linkedin.com/in/rick-song-25198b24/ 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: (0:05) Life before Persona (2:11) The push from Charles (3:09) Early reluctance and low expectations (9:50) Winning the first $50 customer (13:08)“Invalidating” Persona (16:43) How Persona found their edge (19:35) Transitioning from MVP to platform (24:18) Turning down a $5K deal on principle (26:47) Generalizing bespoke solutions (28:28) Finding product-market fit (33:51) Founder-led sales and consultative approach (39:30) Building a culture of reactivity (45:47) Landing the first enterprise customers (51:34) Silicon Valley's obsession with frameworks (58:17) Developing first principles thinking (1:00:24) Stay competitor-informed

Get Noticed! Send a text.Think your business data is under control? Think again. In this eye-opening episode, Jim James talks with Paul Graeve, founder of The Data Group and author of Data Driven Leader, about why owning and mastering your data might be the biggest business edge you're overlooking.Paul reveals:The mindset shift every entrepreneur needs to treat data like gold.The hidden costs of siloed data across tools like HubSpot, Shopify, and Salesforce.How to unify scattered info with cloud-based solutions like Snowflake.Why dashboards and alerts should empower everyone—from interns to execs.A powerful tip for business continuity most startups miss.His personal journey writing Data Driven Leader—and what leaders often get wrong.If you're building a business that lasts and scales, this episode is for you. Listen to the full conversation on The UnNoticed Entrepreneur—available on Spotify, Apple Podcasts, and YouTube.Grab Paul's book: Data Driven LeaderBuzzsprout - Let's get your podcast launched!Start for FREEDescript is what I use to edit the show.All-in-one audio & video editing, as easy as a doc.Get Otter with 1-month FREE Pro LiteGenerate rich notes for meetings, interviews, lectures, and other important voice conversations.Graphic design toolbox - VismeVisme is an online form builder specifically built to optimize for better conversions.Disclaimer: This post contains affiliate links. If you make a purchase, I may receive a commission at no extra cost to you.Support the showWant more stories like this? Subscribe to my free newsletter https://www.theunnoticedentrepreneur.com/

InfluxDB just dropped its biggest update ever — InfluxDB 3.0 — and in this episode, we go deep with the team behind the world's most popular open-source time series database. You'll hear the inside story of how InfluxDB grew from 3,000 users in 2015 to over 1.3 million today, and why the company decided to rewrite its entire architecture from scratch in Rust, ditching Go and moving to object storage on S3.We break down the real technical challenges that forced this radical shift: the “cardinality problem” that choked performance, the pain of linking compute and storage, and why their custom query language (Flux) failed to catch on, leading to a humbling embrace of SQL as the industry standard. You'll learn how InfluxDB is positioning itself in a world dominated by Databricks and Snowflake, and the hard lessons learned about monetization when 1.3 million users only yield 2,600 paying customers.InfluxDataWebsite - https://www.influxdata.comX/Twitter - https://twitter.com/InfluxDBEvan KaplanLinkedIn - https://www.linkedin.com/in/kaplanevanX/Twitter - https://x.com/evankaplanFIRSTMARKWebsite - https://firstmark.comX/Twitter - https://twitter.com/FirstMarkCapMatt Turck (Managing Director)LinkedIn - https://www.linkedin.com/in/turck/X/Twitter - https://twitter.com/mattturckFoursquare: Website - https://foursquare.comX/Twitter - https://x.com/Foursquare IG - instagram.com/foursquare (00:00) Intro (02:22) The InfluxDB origin story and why time series matters (06:59) The cardinality crisis and why Influx rebuilt in Rust (09:26) Why SQL won (and Flux lost) (16:34) Why UnfluxData bets on FDAP (22:51) IoT, Tesla Powerwalls, and real-time control systems (27:54) Competing with Databricks, Snowflake, and the “lakehouse” world (31:50) Open Source lessons, monetization, & what's next

In this episode, Lois Houston and Nikita Abraham continue their deep dive into Oracle GoldenGate 23ai, focusing on its evolution and the extensive features it offers. They are joined once again by Nick Wagner, who provides valuable insights into the product's journey.   Nick talks about the various iterations of Oracle GoldenGate, highlighting the significant advancements from version 12c to the latest 23ai release. The discussion then shifts to the extensive new features in 23ai, including AI-related capabilities, UI enhancements, and database function integration.   Oracle GoldenGate 23ai: Fundamentals: https://mylearn.oracle.com/ou/course/oracle-goldengate-23ai-fundamentals/145884/237273 Oracle University Learning Community: https://education.oracle.com/ou-community LinkedIn: https://www.linkedin.com/showcase/oracle-university/ X: https://x.com/Oracle_Edu   Special thanks to Arijit Ghosh, David Wright, Kris-Ann Nansen, Radhika Banka, and the OU Studio Team for helping us create this episode.   -----------------------------------------------------------------   Episode Transcript: 00:00 Welcome to the Oracle University Podcast, the first stop on your cloud journey. During this series of informative podcasts, we'll bring you foundational training on the most popular Oracle technologies. Let's get started! 00:25 Lois: Hello and welcome to the Oracle University Podcast! I'm Lois Houston, Director of Innovation Programs with Oracle University, and with me is Nikita Abraham, Team Lead: Editorial Services.  Nikita: Hi everyone! Last week, we introduced Oracle GoldenGate and its capabilities, and also spoke about GoldenGate 23ai. In today's episode, we'll talk about the various iterations of Oracle GoldenGate since its inception. And we'll also take a look at some new features and the Oracle GoldenGate product family. 00:57 Lois: And we have Nick Wagner back with us. Nick is a Senior Director of Product Management for GoldenGate at Oracle. Hi Nick! I think the last time we had an Oracle University course was when Oracle GoldenGate 12c was out. I'm sure there's been a lot of advancements since then. Can you walk us through those? Nick: GoldenGate 12.3 introduced the microservices architecture. GoldenGate 18c introduced support for Oracle Autonomous Data Warehouse and Autonomous Transaction Processing Databases. In GoldenGate 19c, we added the ability to do cross endian remote capture for Oracle, making it easier to set up the GoldenGate OCI service to capture from environments like Solaris, Spark, and HP-UX and replicate into the Cloud. Also, GoldenGate 19c introduced a simpler process for upgrades and installation of GoldenGate where we released something called a unified build. This means that when you install GoldenGate for a particular database, you don't need to worry about the database version when you install GoldenGate. Prior to this, you would have to install a version-specific and database-specific version of GoldenGate. So this really simplified that whole process. In GoldenGate 23ai, which is where we are now, this really is a huge release.  02:16 Nikita: Yeah, we covered some of the distributed AI features and high availability environments in our last episode. But can you give us an overview of everything that's in the 23ai release? I know there's a lot to get into but maybe you could highlight just the major ones? Nick: Within the AI and streaming environments, we've got interoperability for database vector types, heterogeneous capture and apply as well. Again, this is not just replication between Oracle-to-Oracle vector or Postgres to Postgres vector, it is heterogeneous just like the rest of GoldenGate. The entire UI has been redesigned and optimized for high speed. And so we have a lot of customers that have dozens and dozens of extracts and replicats and processes running and it was taking a long time for the UI to refresh those and to show what's going on within those systems. So the UI has been optimized to be able to handle those environments much better. We now have the ability to call database functions directly from call map. And so when you do transformation with GoldenGate, we have about 50 or 60 built-in transformation routines for string conversion, arithmetic operation, date manipulation. But we never had the ability to directly call a database function. 03:28 Lois: And now we do? Nick: So now you can actually call that database function, database stored procedure, database package, return a value and that can be used for transformation within GoldenGate. We have integration with identity providers, being able to use token-based authentication and integrate in with things like Azure Active Directory and your other single sign-on for the GoldenGate product itself. Within Oracle 23ai, there's a number of new features. One of those cool features is something called lock-free reservation columns. So this allows you to have a row, a single row within a table and you can identify a column within that row that's like an inventory column. And you can have multiple different users and multiple different transactions all updating that column within that same exact row at that same time. So you no longer have row-level locking for these reservation columns. And it allows you to do things like shopping carts very easily. If I have 500 widgets to sell, I'm going to let any number of transactions come in and subtract from that inventory column. And then once it gets below a certain point, then I'll start enforcing that row-level locking. 04:43 Lois: That's really cool… Nick: The one key thing that I wanted to mention here is that because of the way that the lock-free reservations work, you can have multiple transactions open on the same row. This is only supported for Oracle to Oracle. You need to have that same lock-free reservation data type and availability on that target system if GoldenGate is going to replicate into it. 05:05 Nikita: Are there any new features related to the diagnosability and observability of GoldenGate?  Nick: We've improved the AWR reports in Oracle 23ai. There's now seven sections that are specific to Oracle GoldenGate to allow you to really go in and see exactly what the GoldenGate processes are doing and how they're behaving inside the database itself. And there's a Replication Performance Advisor package inside that database, and that's been integrated into the Web UI as well. So now you can actually get information out of the replication advisor package in Oracle directly from the UI without having to log into the database and try to run any database procedures to get it. We've also added the ability to support a per-PDB Extract.  So in the past, when GoldenGate would run on a multitenant database, a multitenant database in Oracle, all the redo data from any pluggable database gets sent to that one redo stream. And so you would have to configure GoldenGate at the container or root level and it would be able to access anything at any PDB. Now, there's better security and better performance by doing what we call per-PDB Extract. And this means that for a single pluggable database, I can have an extract that runs at that database level that's going to capture information just from that pluggable database. 06:22 Lois And what about non-Oracle environments, Nick? Nick: We've also enhanced the non-Oracle environments as well. For example, in Postgres, we've added support for precise instantiation using Postgres snapshots. This eliminates the need to handle collisions when you're doing Postgres to Postgres replication and initial instantiation. On the GoldenGate for big data side, we've renamed that product more aptly to distributed applications in analytics, which is really what it does, and we've added a whole bunch of new features here too. The ability to move data into Databricks, doing Google Pub/Sub delivery. We now have support for XAG within the GoldenGate for distributed applications and analytics. What that means is that now you can follow all of our MAA best practices for GoldenGate for Oracle, but it also works for the DAA product as well, meaning that if it's running on one node of a cluster and that node fails, it'll restart itself on another node in the cluster. We've also added the ability to deliver data to Redis, Google BigQuery, stage and merge functionality for better performance into the BigQuery product. And then we've added a completely new feature, and this is something called streaming data and apps and we're calling it AsyncAPI and CloudEvent data streaming. It's a long name, but what that means is that we now have the ability to publish changes from a GoldenGate trail file out to end users. And so this allows through the Web UI or through the REST API, you can now come into GoldenGate and through the distributed applications and analytics product, actually set up a subscription to a GoldenGate trail file. And so this allows us to push data into messaging environments, or you can simply subscribe to changes and it doesn't have to be the whole trail file, it can just be a subset. You can specify exactly which tables and you can put filters on that. You can also set up your topologies as well. So, it's a really cool feature that we've added here. 08:26 Nikita: Ok, you've given us a lot of updates about what GoldenGate can support. But can we also get some specifics? Nick: So as far as what we have, on the Oracle Database side, there's a ton of different Oracle databases we support, including the Autonomous Databases and all the different flavors of them, your Oracle Database Appliance, your Base Database Service within OCI, your of course, Standard and Enterprise Edition, as well as all the different flavors of Exadata, are all supported with GoldenGate. This is all for capture and delivery. And this is all versions as well. GoldenGate supports Oracle 23ai and below. We also have a ton of non-Oracle databases in different Cloud stores. On an non-Oracle side, we support everything from application-specific databases like FairCom DB, all the way to more advanced applications like Snowflake, which there's a vast user base for that. We also support a lot of different cloud stores and these again, are non-Oracle, nonrelational systems, or they can be relational databases. We also support a lot of big data platforms and this is part of the distributed applications and analytics side of things where you have the ability to replicate to different Apache environments, different Cloudera environments. We also support a number of open-source systems, including things like Apache Cassandra, MySQL Community Edition, a lot of different Postgres open source databases along with MariaDB. And then we have a bunch of streaming event products, NoSQL data stores, and even Oracle applications that we support. So there's absolutely a ton of different environments that GoldenGate supports. There are additional Oracle databases that we support and this includes the Oracle Metadata Service, as well as Oracle MySQL, including MySQL HeatWave. Oracle also has Oracle NoSQL Spatial and Graph and times 10 products, which again are all supported by GoldenGate. 10:23 Lois: Wow, that's a lot of information! Nick: One of the things that we didn't really cover was the different SaaS applications, which we've got like Cerner, Fusion Cloud, Hospitality, Retail, MICROS, Oracle Transportation, JD Edwards, Siebel, and on and on and on.  And again, because of the nature of GoldenGate, it's heterogeneous. Any source can talk to any target. And so it doesn't have to be, oh, I'm pulling from Oracle Fusion Cloud, that means I have to go to an Oracle Database on the target, not necessarily.  10:51 Lois: So, there's really a massive amount of flexibility built into the system.  11:00 Unlock the power of AI Vector Search with our new course and certification. Get more accurate search results, handle complex datasets easily, and supercharge your data-driven decisions. From now through May 15, 2025, we are waiving the certification exam fee (valued at $245). Visit mylearn.oracle.com to enroll. 11:26 Nikita: Welcome back! Now that we've gone through the base product, what other features or products are in the GoldenGate family itself, Nick? Nick: So we have quite a few. We've kind of touched already on GoldenGate for Oracle databases and non-Oracle databases. We also have something called GoldenGate for Mainframe, which right now is covered under the GoldenGate for non-Oracle, but there is a licensing difference there. So that's something to be aware of. We also have the OCI GoldenGate product. We are announcing and we have announced that OCI GoldenGate will also be made available as part of the Oracle Database@Azure and Oracle Database@ Google Cloud partnerships.  And then you'll be able to use that vendor's cloud credits to actually pay for the OCI GoldenGate product. One of the cool things about this is it will have full feature parity with OCI GoldenGate running in OCI. So all the same features, all the same sources and targets, all the same topologies be able to migrate data in and out of those clouds at will, just like you do with OCI GoldenGate today running in OCI.  We have Oracle GoldenGate Free.  This is a completely free edition of GoldenGate to use. It is limited on the number of platforms that it supports as far as sources and targets and the size of the database.  12:45 Lois: But it's a great way for developers to really experience GoldenGate without worrying about a license, right? What's next, Nick? Nick: We have GoldenGate for Distributed Applications and Analytics, which was formerly called GoldenGate for big data, and that allows us to do all the streaming. That's also where the GoldenGate AsyncAPI integration is done. So in order to publish the GoldenGate trail files or allow people to subscribe to them, it would be covered under the Oracle GoldenGate Distributed Applications and Analytics license. We also have OCI GoldenGate Marketplace, which allows you to run essentially the on-premises version of GoldenGate but within OCI. So a little bit more flexibility there. It also has a hub architecture. So if you need that 99.99% availability, you can get it within the OCI Marketplace environment. We have GoldenGate for Oracle Enterprise Manager Cloud Control, which used to be called Oracle Enterprise Manager. And this allows you to use Enterprise Manager Cloud Control to get all the statistics and details about GoldenGate. So all the reporting information, all the analytics, all the statistics, how fast GoldenGate is replicating, what's the lag, what's the performance of each of the processes, how much data am I sending across a network. All that's available within the plug-in. We also have Oracle GoldenGate Veridata. This is a nice utility and tool that allows you to compare two databases, whether or not GoldenGate is running between them and actually tell you, hey, these two systems are out of sync. And if they are out of sync, it actually allows you to repair the data too. 14:25 Nikita: That's really valuable…. Nick: And it does this comparison without locking the source or the target tables. The other really cool thing about Veridata is it does this while there's data in flight. So let's say that the GoldenGate lag is 15 or 20 seconds and I want to compare this table that has 10 million rows in it. The Veridata product will go out, run its comparison once. Once that comparison is done the first time, it's then going to have a list of rows that are potentially out of sync. Well, some of those rows could have been moved over or could have been modified during that 10 to 15 second window. And so the next time you run Veridata, it's actually going to go through. It's going to check just those rows that were potentially out of sync to see if they're really out of sync or not. And if it comes back and says, hey, out of those potential rows, there's two out of sync, it'll actually produce a script that allows you to resynchronize those systems and repair them. So it's a very cool product.  15:19 Nikita: What about GoldenGate Stream Analytics? I know you mentioned it in the last episode, but in the context of this discussion, can you tell us a little more about it?  Nick: This is the ability to essentially stream data from a GoldenGate trail file, and they do a real time analytics on it. And also things like geofencing or real-time series analysis of it.  15:40 Lois: Could you give us an example of this? Nick: If I'm working in tracking stock market information and stocks, it's not really that important on how much or how far down a stock goes. What's really important is how quickly did that stock rise or how quickly did that stock fall. And that's something that GoldenGate Stream Analytics product can do. Another thing that it's very valuable for is the geofencing. I can have an application on my phone and I can track where the user is based on that application and all that information goes into a database. I can then use the geofencing tool to say that, hey, if one of those users on that app gets within a certain distance of one of my brick-and-mortar stores, I can actually send them a push notification to say, hey, come on in and you can order your favorite drink just by clicking Yes, and we'll have it ready for you. And so there's a lot of things that you can do there to help upsell your customers and to get more revenue just through GoldenGate itself. And then we also have a GoldenGate Migration Utility, which allows customers to migrate from the classic architecture into the microservices architecture. 16:44 Nikita: Thanks Nick for that comprehensive overview.  Lois: In our next episode, we'll have Nick back with us to talk about commonly used terminology and the GoldenGate architecture. And if you want to learn more about what we discussed today, visit mylearn.oracle.com and take a look at the Oracle GoldenGate 23ai Fundamentals course. Until next time, this is Lois Houston… Nikita: And Nikita Abraham, signing off! 17:10 That's all for this episode of the Oracle University Podcast. If you enjoyed listening, please click Subscribe to get all the latest episodes. We'd also love it if you would take a moment to rate and review us on your podcast app. See you again on the next episode of the Oracle University Podcast.

You're outsourcing your brain to AI. Bad idea?AI can write your SQL queries. Build your dashboards. Even brainstorm your next big idea.It's saving you hours. Maybe days.But here's the catch—it's also stealing your critical thinking. Making you reliant.Maybe even... dumber.Sumit Gupta knows this first-hand. He's built data strategies at Notion, Snowflake, and Dropbox. And, he's here to break down how AI is both supercharging productivity and quietly eroding our problem-solving skills.Are we trading our brains for convenience? Let's find out.Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Thoughts on this? Join the conversation and ask Jordan and Sumit questionsUpcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:Personal use of Generative AI and productivity vs. intelligence dichotomyIntroduction of Sameet Gupta as a guestRole and experience of Sameet Gupta at NotionThe impact of AI on productivity and critical thinkingExamples of AI tools used by Sameet GuptaChallenges of balancing AI use with retaining critical skillsPotential risks and costs of over-reliance on AIWhite coding and its implicationsRecommendations and personal strategies to maintain skills alongside AI useThe influence of AI on different age groups, particularly studentsDiscussion on cost implications of using AI improperlyNotion's capabilities in enhancing productivity and retentionThe future impact of AI on knowledge workers and the workforcePractical advice for business leaders on AI integration and maintaining productivityTimestamps:00:00 "Using AI to Stay Sharp"06:02 Streamlining Dashboards with AI8:48 "GPT for Quick Code Debugging"12:34 Guardrails Needed for Costly AI Mistakes15:27 AI for Repetitive Tasks18:35 Growing Business with AI Expertise21:20 AI's Impact on Younger Generation26:04 AI's Impact on Future Workforce28:12 "Notion: Beyond Note-Taking"31:22 "Validate or Lose Job Security"32:25 Balancing Productivity and UniquenessKeywords:Generative AI, large language models, productivity, dumber, balance, knowledge work, NVIDIA conference, GTC, OpenAI, advanced AI models, voice models, transcription, text to speech, API, real-time streaming, customizable voice presets, word error rate, noisy environments, 100 plus languages, competition, Gmail, Google, AI-powered search, email results, keyword search, Amazon, Claude, real-time access, web search feature, AI assistant, misinformation, AI hallucinations, Brian, Midroll, NSend 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

SaaStr 801: AI, M&A, and the Future of SaaS: Lessons from Marc Benioff, Chair, CEO & Co-Founder of Salesforce Join us for as SaaStr CEO and Founder Jason Lemkin sits down for a conversation with Mark Benioff, the CEO, Chair and Co-Founder of Salesforce. Together, we delve into the practical applications of AI in the B2B space. With 40 billion under Salesforce's belt, this discussion sheds light on how AI is transforming enterprise software. Learn about Salesforce's major acquisitions like Tableau and Slack, the evolution of their product offerings, and how they seamlessly integrate AI with business intelligence and analytics. Mark also shares insights on the strategic direction of Salesforce, the significance of data management, and the role of AI assistants in revolutionizing customer service and product development. Tune in for a glimpse into the future of enterprise software and the impactful initiatives driven by Salesforce. -----------------  Hey everybody. SaaStr Annual is almost here. It's May 13th to the 15th, right here in the SF Bay, the heart of the AI Revolution, and you've gotta be part of it in B2B and be it SaaStr 2025. We'll have an incredible line above speakers, the best in SaaS and AI. From HubSpot and Perplexity from Anthropic, to OpenAI, from Snowflake to Cursor, to Google Coud, to Box to IBM and more. We'll have AI matchmaking for founders and investors for the first time,  and we'll have over 1,000+ C-level executives at our VIP summits. It's gonna be great. So we'll see you there. If you want to come in person, use my code Jason20 before tickets sell out.  And we'll see anyone that can't make it in person on our live streams. It'll be all over my Twitter and LinkedIn and everywhere. May 13th to the 15th 2025. It's gonna rock. --------------------------------------------------------------------------------------------  Hey, are you tired of listening to hours and hours of sales calls? Recording is yesterday's game, folks. Yesterday's game attention.com unleashes an army of AI sales agents that auto update your CRM build custom sales decks. Spot cross-sale signals and score calls even before the coffee cold. Teams like Bamboo, HR, and scale AI already automate their sales and rev ops using customer conversations. Step into the future at attention.com/saastr. ------------------------------------------------------------------------------------------- Do you know what would make your customer service helpdesk dramatically better? Dumping it and switching to Intercom.  But, youʼre not quite ready to make that change. We get it!   Thatʼs why Fin, the worldʼs leading AI customer service agent, is now available on every helpdesk.   Fin can instantly resolve up to 80% of your tickets,  Which makes your customers happier. And you can get off the customer service rep hiring treadmill.   Fin by Intercom. Named the #1 AI Agent in G2ʼs Winter Report.      Learn more at : inter.com/saastr   --------------------------------------------------------------------------------------------

Seán Clancy is An Drí ar Uisnigh (a Druid of the Hill of Uisneach) as well as a tour guide of Uisneach and a seanchaí (Irish storyteller). His family have lived around the base of Uisneach in Rathconrath, County Westmeath, right in the centre of Ireland, for generations. Follow Seán on Instagram where he releases stories, live every Tuesday. https://www.instagram.com/dri_uisnigh/ He's about to celebrate Bealtaine as he does each year on the sacred Hill of Uisneach. It's an ancient fire festival which attracts thousands of visitors. https://uisneach.ie/ Here, he describes the festival of Bealtaine and the history and mythology of Uisneach, as well as his own connections with the local area. Plus! A recent fairy encounter in Sean's local area! Starts at 39.25 mins. In the days leading up to St Patrick's Day, this March (2025) a local young woman (the daughter of a co-worker friend) was repeatedly stopped at a crossroads, late at night by a huge bird in increasingly strange circumstances...could the bird's uncanny owner herself have been one of the Good Neighbours? Seán recounts the TRUE STORY for us. ⭐️ JOIN THE MODERN FAIRY SIGHTINGS COMMUNITY GROUP ⭐️ If you're looking for exclusive bonus material, monthly zoom chats with like minded folks, access to the Discord channels and joining events with other members, join us at: / themodernfairysightingspodcast S U P P O R T If you'd prefer to support the Modern Fairy Sightings with a one off donation, you can ‘buy me a coffee' and I'd be very grateful

Sigma Computing recently hit $100M in ARR — planning on doubling revenue again this year— and in this episode, CEO Mike Palmer reveals exactly how they did it by throwing out the old BI playbook. We open with the provocative claim that “the world did not need another BI tool,” and dig into why the last 20 years of business intelligence have been “boring.” He explains how Sigma's spreadsheet-like interface lets anyone analyze billions of rows in seconds, and lives on top of Snowflake and Databricks, with no SQL required and no data extractions.Mike shares the inside story of Sigma's journey: why they shut down their original product to rebuild from scratch, how Sutter Hill Ventures' unique incubation model shaped the company, what it took to go from $2M to $100M ARR in just three years and raise a $200M round — even as the growth stage VC market dried up. We get into the technical details behind Sigma's architecture: no caching, no federated queries, and real-time, Google Sheets-style collaboration at massive scale—features that have convinced giants like JP Morgan and ExxonMobil to ditch legacy dashboards for good.We also tackle the future of BI and the modern data stack: why 99.99% of enterprise data is never touched, what's about to happen as the stack consolidates, and why Mike thinks “text-to-SQL” AI is a “terrible idea.” This episode is full of "spicey takes" - Mike shares his thoughts on how Google missed the zeitgeist, the reality behind Microsoft Fabric, when engineering hubris leads to failure, and many more. SigmaWebsite - https://www.sigmacomputing.comX/Twitter - https://x.com/sigmacomputingMike PalmerLinkedIn - https://www.linkedin.com/in/mike-palmer-51a154FIRSTMARKWebsite - https://firstmark.comX/Twitter - https://twitter.com/FirstMarkCapMatt Turck (Managing Director)LinkedIn - https://www.linkedin.com/in/turck/X/Twitter - https://twitter.com/mattturckFoursquare: Website - https://foursquare.comX/Twitter - https://x.com/Foursquare IG - instagram.com/foursquare (00:00) Intro (01:46) Why traditional BI is boring (04:15) What is business intelligence? (06:03) Classic BI roles and frustrations (07:09) Sigma's origin story: Sutter Hill & the Snowflake echo (09:02) The spreadsheet problem: why nothing changed since 1985 (14:04) Rebooting the product during lockdown (16:14) Building a spreadsheet UX on top of Snowflake/Databricks (18:55) No caching, no federation: Sigma's architectural choices (20:28) Spreadsheet interface at scale (21:32) Collaboration and real-time data workflows (24:15) Semantic layers, data governance & trillion-row performance (25:57) The modern data stack: fragmentation and consolidation (28:38) Democratizing data (29:36) Will hyperscalers own the data stack? (34:12) AI, natural language, and the limits of text-to-SQL

Snowflake has new music and Joke' Rodeo on News Radio KKOBSee omnystudio.com/listener for privacy information.

Blake Scholl, founder and CEO of Boom Supersonic, is leading the boldest effort in decades to bring back commercial supersonic flight—this time with product-market fit.We talk about what went wrong with the world's first try at supersonic commercial aircraft (launched in the 70s), why Boeing hasn't introduced a new plane in over a decade, and how Blake's startup is building a jet that flies 2x faster than today's aircraft—without the sonic boom. This episode is a crash course in engineering ambition, regulatory dysfunction, and what it takes to defy gravity and incumbents.(00:00) Intro(00:40) The History and Evolution of Aviation(01:12) The Rise and Fall of Concorde(05:25) The Impact of Government and Founders on Innovation(08:57) Regulatory Challenges and Business Models(26:53) Boom's Vision for Supersonic Travel(47:10) Building Trust with Regulators(48:16) Challenges in the Aerospace Startup(49:36) Recruiting Talent from Unlikely Places(55:47) The Importance of Mission Success Events(01:01:52) Developing a Custom Jet Engine(01:22:54) Reindustrialization and Economic Strategy(01:34:42) Conclusion and Final ThoughtsExecutive Producer: Rashad AssirProducer: Leah ClapperMixing and editing: Justin HrabovskyCheck out Unsupervised Learning, Redpoint's AI Podcast: https://www.youtube.com/@UCUl-s_Vp-Kkk_XVyDylNwLA

Thriving as a Savvy Working Mom: Insights from Whitnee HawthorneIn this episode of The Girl Doc Survival Guide, Christine welcomes Whitnee Hawthorne, Global Head of Travel and Hospitality at Snowflake and author of The Savvy Working Mom: A Guide to Prioritization, Delegation, and Making Time for Cocktails. Whitnee shares her personal journey from New York to Georgia, detailing how she and her husband juggle careers, family, and self-care. She introduces key concepts from her book, including the Shine, Manage, Surrender framework and the Grace and Joy morning routine, offering practical advice for working moms to thrive rather than just survive. Whitnee emphasizes the importance of setting boundaries, delegating effectively, and focusing on self-care to create a joyful and fulfilling life.00:00 Introduction to Whitnee Hawthorne00:55 Personal Anecdotes and Career Journey02:39 Balancing Career and Family06:13 Setting Boundaries and Self-Care12:37 Shine, Manage, Surrender Framework23:50 Grace and Joy Morning Routine28:50 Final Thoughts and Takeaways

This week, Frank sat down with Dr. Jacob Leverich—Stanford PhD, cofounder of Observe, and a veteran of the Google MapReduce team and Splunk. Jacob's journey, from tinkering with video game code as a kid, to innovating at the cutting edge of distributed systems and energy efficiency, is as inspiring as it is informative.Key TakeawaysEarly Tech Roots: Hear how curiosity with QBasic and classic PCs (think IBM PCXT and Commodore) put Jacob on a path to high-impact data engineering.MapReduce, Dremel, & the Rise of Big Data: Jacob pulls back the curtain on working with some of the most influential data processing tools at Google and how these systems shifted the entire data landscape (hello, BigQuery!).Building Efficient Systems: It's not just about scale—energy efficiency and performance optimization are the unsung heroes of today's data infrastructure. Jacob explains why making things “just work” isn't enough anymore.The Realities of Ops & Observability: Remember the days of grepping logs at 2AM? There's a better way. Jacob shares how platforms like Observe help teams consolidate, visualize, and act on operational data—turning chaos into actionable insight.Bridging Data & Ops: The lines between data observability and traditional ops are blurring, and Jacob's unique experience shows how best practices from data warehousing are finally making ops smoother (and less sleepless).Power Concerns & the Future: As data grows, so does energy consumption in data centers. Find out why optimization isn't just good for performance—it's key to sustainability.Timestamps00:00 Interview with Jacob Levrich05:59 Journey into Game Programming06:43 "Pursuing Fast Video Game Code"10:23 Data Processing and Power Efficiency16:11 Snowflake's Transformative Database Approach19:18 Journey to Data Management Industry21:37 Data Products: Solving Core Challenges27:07 Early Web Log Analysis Techniques28:57 Consolidating Data for Efficiency33:23 Specialized Tools and Context Switching35:43 Unique Dual-Expertise in Tech38:58 User-Centric Business Strategies42:13 IP Data Analysis in Cloud47:23 Electricity Transport Upsets Local Farms48:25 Shift to Parallel Computing52:10 Hardware Specialization & Software Optimization57:32 "Stay Data Driven"

Jon Yoo, CEO of Suger, shares how his company automates the complex & challenging workflows of selling software through cloud marketplaces like AWS.Topics Include:Jon Yoo is co-founder/CEO of Suger.Suger automates B2B marketplace workflows.Handles listing, contracts, offers, billing for marketplaces like AWS.Co-founder previously led Confluent's marketplace enablement product.Confluent had 40-50% revenue through cloud marketplaces.Required 10-20 engineers working solely on marketplace integration.Engineers prefer core product work over marketplace integration.Product/engineering leaders struggle with marketplace deployment requirements.Marketplace customers adopt without marketing, creating unexpected management needs.Version control is challenging for marketplace-deployed products.License management through marketplace creates engineering challenges.Suger helps sell, resell, co-sell through AWS Marketplace.Marketplace integration isn't one-time; requires ongoing maintenance.Business users constantly request marketplace automation features.Suger works with Snowflake, Intel, and AI startups.Data security concerns drive self-hosted AI deployments.AI products increasingly deploy via AMI/container solutions.AI products use usage-based pricing, not seat-based.Usage-based pricing creates complex billing challenges.AI products are tested at unprecedented rates.Two deployment options: vendor cloud or customer cloud.SaaS requires reporting usage to marketplace APIs.Customer-hosted deployment simplifies some billing aspects.Marketplaces need integration with ERP systems.Version control particularly challenging for AI products.Companies need automated updates for marketplace-deployed products.License management includes scaling up/down and expiration handling.Suger aims to integrate with GitHub for automatic updates.Participants:· Jon Yoo – CEO and Co-founder, SugerSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon/isv/

On today's episode we're pleased to have Hilary Carpio, VP of Growth Marketing at Snowflake.We chat about how Hilary built a scalable ABM program at Snowflake, why marketing and sales alignment is critical for GTM success, and how AI is transforming sales outreach and content generation. Hilary shares insights from her experience leading growth marketing and demand generation at Snowflake and co-authoring the book Busting Silos.In this episode, you'll learn:Why sales and marketing alignment is the key to GTM successHow Hilary scaled Snowflake's ABM strategy—and why it workedHow AI is being used to create hyper-targeted ad copy and improve SDR efficiencyWhy building a foundation of trust with your sales team drives better outcomesFor more from ZI Labs, visit ⁠www.zoominfo.com/labs⁠ Ben on LinkedIn - www.linkedin.com/in/bensalzman Millie on LinkedIn - www.linkedin.com/in/milliebeetham

Todd Beauchene, Head of Growth at Revefi, joins Rick Veronese on Pathmonk Presents to discuss how Revefi acts as a copilot for optimizing cloud data platforms like Snowflake and Databricks. With deep expertise, Revefi targets Fortune 1000 companies, helping data engineers and CIOs save costs and boost efficiency. Todd shares their event-driven strategy and website's educational role in driving growth. Learn how Revefi transforms data management in this engaging episode!

College sports are going through massive changes—from athlete pay drama to superconference realignment and transfer portal chaos, not to mention the giant class action lawsuit playing out now.Matt Brown, the publisher behind Extra Points and one of the top experts on the business of college athletics, joined the show to break it all down. We walked through the full history of college sports, the current money dynamics, and where things could be headed. (00:00) Meet Matt Brown: Expert in College Sports Business(03:09) The Origins of College Sports(06:31) The Evolution of College Sports Broadcasting(14:53) Title IX and Its Impact on College Athletics(17:53) The 1984 Supreme Court Decision and Its Aftermath(20:03) The SMU Death Penalty Scandal(22:19) Conference Realignment and the BCS Era(28:22) The Rise of Conference Television Networks(30:23) The Arms Race in College Sports Facilities(34:41) The Role of Boosters in College Sports(36:03) Financial Breakdown of Major College Sports Programs(37:04) Understanding Nonprofit Accounting in College Athletics(38:20) Revenue Generation in College Sports(40:34) Athletics as Enrollment Management(42:04) The Flutie Effect and University Applications(44:37) Conference Realignment and Financial Instability(48:58) The O'Bannon Case and Video Game Licensing(53:59) The Northwestern Unionization Attempt(58:19) The Alston Case and Educational Awards(01:02:11) Name, Image, and Likeness (NIL) Marketplaces(01:05:51) The Role of Collectives in College Sports(01:12:08) Dependability of Young Campaign Partners(01:13:03) Transfer Portal and Its Impact(01:15:56) Rise of NIL Agents and Handlers(01:17:40) Economic Incentives and Transfer Market(01:20:37) Challenges in NIL Enforcement(01:22:48) House Settlement and Future Implications(01:25:38) Allocation of NIL Funds by Universities(01:44:26) Potential Super Leagues and Investment Challenges(01:48:07) Concluding Thoughts on College SportsExecutive Producer: Rashad AssirProducer: Leah ClapperMixing and editing: Justin HrabovskyCheck out Unsupervised Learning, Redpoint's AI Podcast: https://www.youtube.com/@UCUl-s_Vp-Kkk_XVyDylNwLA

SaaStr 799: The Series A Landscape in 2025: Insights from Chemistry VC's Ethan Kurzweil SaaStr CEO and Founder Jason Lemkin and Ethan Kurzwiel, previously partner at Bessemer Venture Partners and now founding partner at Chemistry VC, took us through a deep dive of exactly where Series A funding is right now in 2025. Current State of Early-Stage Venture Market The early-stage venture landscape has experienced significant shifts since the peaks of 2021. We're seeing: Deal activity decline: From the highs of 2021 (around 3.5B raised in Q4 2021), we're seeing a return to baseline levels but still below pre-zero interest rate era volumes. Longer funding timelines: Seed to Series A timelines have stretched from approximately 12 months to 25 months on average, requiring founders to plan for longer runways. More capital into fewer deals: While total capital deployment is returning to pre-2021 levels, it's being concentrated in fewer companies, making the environment more binary and competitive. Graduation rates plummeting: The percentage of seed companies successfully raising Series A has dropped significantly across all industries, creating a “crunch” for many startups. Listen in for more! --------------------------------------------------------------------------------------------   Alright everybody in SaaS, this is it.  The biggest, best, most action-packed SaaS + AI event of the year—SaaStr Annual 2025—is coming this May. Three full days. 10,000+ SaaS and AI leaders and more tactical, no-fluff content than you'll find anywhere else.   If you want to scale faster—$10M, $50M, $100M ARR and beyond—you need the right playbooks, the right connections and the right people in your corner. And SaaStr Annual is where it all happens. We'll have 100's of Legendary speakers from companies like Snowflake, HubSpot, OpenAI, Canva, and more. More networking than you can handle—meet your next investor, co-founder, or biggest deal.  A New AI Demo & Pitch Stage— with your chance to win up to $5M in funding!  So don't wait—grab your tickets now at SaaStrAnnual.com with my code jason100 to save $100 on tickets before prices go up. That's jason 100 at saastrannual.com   See you in May!    --------------------------------------------------------------------------------------------   Do you know what would make your customer service helpdesk dramatically better? Dumping it and switching to Intercom.  But, youʼre not quite ready to make that change. We get it!   Thatʼs why Fin, the worldʼs leading AI customer service agent, is now available on every helpdesk.   Fin can instantly resolve up to 80% of your tickets,  Which makes your customers happier. And you can get off the customer service rep hiring treadmill.   Fin by Intercom. Named the #1 AI Agent in G2ʼs Winter Report.      Learn more at : inter.com/saastr   --------------------------------------------------------------------------------------------  

In this episode, Derek Thompson (Writer, The Atlantic) delves into the tumultuous nature of Trump's trade policies, especially regarding tariffs, and how they impact American manufacturing and global markets. They discuss the constant changes in policy, the resulting uncertainty for industries like automotive and aerospace, and the mismatch between Trump's ‘madman strategy' and effective industrial policy. The conversation also explores the broader economic consequences, including stock market volatility, housing affordability issues, and the role of government in promoting economic growth and innovation.(00:00) Intro(00:20) Trump's Trade Policy and Its Implications(01:30) The Uncertainty of Tariff Policies(02:12) Impact on American Manufacturing(05:15) Stock Market Reactions(07:00) Debating the Effectiveness of Tariffs(10:02) Wall Street vs. Main Street(18:44) Housing and Healthcare Challenges(34:53) Historical Context of Housing Regulations(41:48) The Reality of Construction Jobs(42:35) The American Dream and Housing Costs(42:57) The 30-Year Mortgage and Its Impact(43:48) Comparing Home Ownership to Stock Market Investments(45:14) Political Reception of the Book 'Abundance'(46:17) Pro-Business Democrats and Government's Role(48:38) The Need for Aggressive Democratic Leaders(51:18) The Importance of Economic Growth(01:01:26) Debating Government's Role in Industrial Policy(01:03:34) Challenges in the Semiconductor Industry(01:13:19) The Housing Problem in New York City(01:15:26) Conclusion and Final ThoughtsExecutive Producer: Rashad AssirProducer: Leah ClapperMixing and editing: Justin HrabovskyCheck out Unsupervised Learning, Redpoint's AI Podcast: https://www.youtube.com/@UCUl-s_Vp-Kkk_XVyDylNwLA

SaaStr 798: The Top 10 Reasons to Come to 2025 SaaStr Annual May 13-15 in SF Bay with SaaStr CEO Jason Lemkin SaaStr Annual is almost here! And we delve into the key reasons why you should attend SaaStr Annual 2025, happening from May 13th to 15th in the SF Bay Area. Learn about the unparalleled networking opportunities, including opt-in one-on-one meetings, braindates, and C-level summits. Discover how the event can help you meet potential C-suite hires and VCs, and stay ahead of the latest in B2B SaaS, Cloud, and AI through hundreds of workshops and sessions. Don't miss out on the chance to be inspired by top industry leaders and get actionable insights for your business. -------------------------------------------------------------------------------------------   Alright everybody in SaaS, this is it.  The biggest, best, most action-packed SaaS + AI event of the year—SaaStr Annual 2025—is coming this May. Three full days. 10,000+ SaaS and AI leaders and more tactical, no-fluff content than you'll find anywhere else.   If you want to scale faster—$10M, $50M, $100M ARR and beyond—you need the right playbooks, the right connections and the right people in your corner. And SaaStr Annual is where it all happens. We'll have 100's of Legendary speakers from companies like Snowflake, HubSpot, OpenAI, Canva, and more. More networking than you can handle—meet your next investor, co-founder, or biggest deal.  A New AI Demo & Pitch Stage— with your chance to win up to $5M in funding!  So don't wait—grab your tickets now at SaaStrAnnual.com with my code jason100 to save $100 on tickets before prices go up. That's jason 100 at saastrannual.com   See you in May!    --------------------------------------------------------------------------------------------   Do you know what would make your customer service helpdesk dramatically better? Dumping it and switching to Intercom.  But, youʼre not quite ready to make that change. We get it!   Thatʼs why Fin, the worldʼs leading AI customer service agent, is now available on every helpdesk.   Fin can instantly resolve up to 80% of your tickets,  Which makes your customers happier. And you can get off the customer service rep hiring treadmill.   Fin by Intercom. Named the #1 AI Agent in G2ʼs Winter Report.      Learn more at : inter.com/saastr   --------------------------------------------------------------------------------------------

It's the game where Ben & Kelly toss jokes back and forth until someone laughs, it's You Laugh You Lose brought to you by the Caravan Comedy Club!

Exciting News! This is TMFSP's first published episode with SpectreVision Radio. I have joined the Podcast family featuring other great shows like, Greg and Dana Newkirk's The Haunted Objects Podcast and Mitch Horowitz's Extraordinary Evidence T H E S H O W It was so great to finally meet with R O D W I L L I A M S O N from Lodge Tales Podcast - one of my favourite shows. Rod speaks to fellow members of his Native American community about their strange experiences. The conversations are absolutely wonderful and give a great insight into what we have largely lost in our material-paradigm-focused, modern Western society. https://lodge-tales.podcastpage.io/ We talk about what it was like for Rod to grow up in the Blackfeet Reservation in Montana, - one of the largest reservations in the US - with parents that understand about Otherworld...and others in the wider community who no longer remember their connections with these worlds. It was an honour to hear about Rod's experiences including talking owls, a shapeshifting cricket, Little People, the backward speak of Otherworld, a talking eagle speaking Blackfeet. He tells the terrifying story of the time he went down to the creek with his first cousin and her legs were pulled by an unknown force back beneath the waters. We discuss shapeshifting in general, how we might relate to Spirits and how we feel about the West reawakening to these ways of seeing the world. Huge thanks to Rod, please consider supporting his show and helping it to grow. Support Lodge Tales on Patreon S U P P O R T T M F S P Become a Patron! We have a community called The Curious Crew. https://www.patreon.com/themodernfairysightingspodcast If you are looking for exclusive bonus material, monthly zoom chats with like minded folks, access to the Discord channels and joining events with other members, please go to: https://www.patreon.com/themodernfairysightingspodcast If you'd prefer to support the Modern Fairy Sightings with a one off donation, you can ‘buy me a coffee' and I'd be very grateful

In this episode, we sit down with Sridhar Ramaswamy, CEO of Snowflake, for an in-depth conversation about the company's transformation from a cloud analytics platform into a comprehensive AI data cloud. Sridhar shares insights on Snowflake's shift toward open formats like Apache Iceberg and why monetizing storage was, in his view, a strategic misstep.We also dive into Snowflake's growing AI capabilities, including tools like Cortex Analyst and Cortex Search, and discuss how the company scaled AI deployments at an impressive pace. Sridhar reflects on lessons from his previous startup, Neeva, and offers candid thoughts on the search landscape, the future of BI tools, real-time analytics, and why partnering with OpenAI and Anthropic made more sense than building Snowflake's own foundation models.SnowflakeWebsite - https://www.snowflake.comX/Twitter - https://x.com/snowflakedbSridhar RamaswamyLinkedIn - https://www.linkedin.com/in/sridhar-ramaswamyX/Twitter - https://x.com/RamaswmySridharFIRSTMARKWebsite - https://firstmark.comX/Twitter - https://twitter.com/FirstMarkCapMatt Turck (Managing Director)LinkedIn - https://www.linkedin.com/in/turck/X/Twitter - https://twitter.com/mattturck(00:00) Intro and current market tumult(02:48) The evolution of Snowflake from IPO to Today(07:22) Why Snowflake's earliest adopters came from financial services(15:33) Resistance to change and the philosophical gap between structured data and AI(17:12) What is the AI Data Cloud?(23:15) Snowflake's AI agents: Cortex Search and Cortex Analyst(25:03) How did Sridhar's experience at Google and Neeva shape his product vision?(29:43) Was Neeva simply ahead of its time?(38:37) The Epiphany mafia(40:08) The current state of search and Google's conundrum(46:45) “There's no AI strategy without a data strategy”(56:49) Embracing Open Data Formats with Iceberg(01:01:45) The Modern Data Stack and the future of BI(01:08:22) The role of real-time data(01:11:44) Current state of enterprise AI: from PoCs to production(01:17:54) Building your own models vs. using foundation models(01:19:47) Deepseek and open source AI(01:21:17) Snowflake's 1M Minds program(01:21:51) Snowflake AI Hub

Debate between Keith Rabois and Zach Weinberg on what tariffs are actually trying to accomplish. One core theme: Tariffs aren't fully about “bringing back factories,” but rather a negotiation tool to eliminate foreign trade barriers - ultimately aiming to increase free trade, not restrict it.We also got into:- What each of them would do if they were in charge- Whether the trade deficit is a meaningful metric or just a misunderstood talking point- If tariffs could be part of an initiative to replace income tax — shifting toward a more consumption-based tax system- If tariffs could successfully be used as a non-military tool to reduce drug supply to the US- If there's a major disconnect between the new administration's rhetoric and the actual economic goals behind the policyOne of the deepest economic conversations from the show's recent history — and a rare debate where both sides had real logic behind their views.(00:00) Introduction and Host's Biases(00:46) Keith's Perspective on Tariffs(03:05) Zach's Perspective and Clarifying Questions(05:14) Debating Tariff Strategies(07:45) Economic Implications and Free Trade(13:31) Trump's Tariff Policies and Goals(16:57) Global Trade and Protectionism(25:52) Final Thoughts on Tariffs and Trade(29:16) Discussion on Trade Tariffs and Partners(30:17) Impact of Tariffs on GDP and Debt(31:20) Political Coalitions and Trade Policies(32:00) Tariffs as Consumer Taxes(33:30) Debate on Trade Deficit and Tariff Rates(36:53) Regulatory Reforms and Economic Policies(47:25) Fentanyl Crisis and Trade Negotiations(51:06) Closing Remarks and Future TopicsExecutive Producer: Rashad AssirProducer: Leah ClapperMixing and editing: Justin HrabovskyCheck out Unsupervised Learning, Redpoint's AI Podcast: https://www.youtube.com/@UCUl-s_Vp-Kkk_XVyDylNwLA

Something is up at Joe Robbie stadium, beloved Dolphins mascot Snowflake has been kidnapped right before the Super Bowl! When representatives, Melissa Robinson (Courtney Cox) and Roger Podactor (Troy Evans) are tasked with trying to find him, they hire a professional - Ace Ventura: Pet Detective (Jim Carrey), a man who takes his job VERY seriously. The plot thickens when Roger is murdered and Dan Marino also goes missing. With the case becoming too big, enter the Miami PD led by Lt. Lois Einhorn (Sean Young), a real ball buster who happens to be sitting on a big secret, she promises to deliver Snowflake when they find Marino, but Ace insists he'll be the one delivering Marino once he finds Snowflake. It's the movie that made Jim Carrey a star and made the all of us kids super annoying, this week on Doom Generation. Support this podcast at patreon.com/doomgeneration

What does it really take to make go-to-market teams more efficient? Our guest on this episode, Jen Igartua, works on answering this question every day. Jen is the CEO of Go Nimbly, a 60-person RevOps agency for Mid-Market & Enterprise SaaS companies. With an amazing roster of clients that includes Zendesk, Twilio, Snowflake, Intercom, and others, she and her team help companies solve what's getting in the way of growth.When you spend your days advising companies on how to operate more effectively, it's easy to think you've seen it all. But not Jen. She's a relentless learner. In our conversation, we demystify what GTM efficiency actually looks like behind the scenes, how her team is implementing AI in practical ways for clients, and why, despite all of Go Nimbly's success, she doesn't really focus on innovating internally within their business.Be sure to check out Go Nimbly's first conference, RevFest, on June 10 in Brooklyn: https://revfest.gonimbly.com/Like this episode? Be sure to leave a ⭐️⭐️⭐️⭐️⭐️⭐️ review and share the pod with your friends! You can connect with Sean on LinkedIn or subscribe to our YouTube channel.

In this freeform episode, Logan sits down with Zach Weinberg (Co-Founder and CEO of Curie.Bio) to break down two of the biggest storylines in tech: tariffs and AI.They banter through the core arguments for and against tariffs, including national security, domestic employment, and negotiation power. Plus, they revisit what's happened in past trade wars and share predictions on the real economic consequences this time around.Logan and Zach also discuss OpenAI's $40B raise and the broader race for AI dominance—can OpenAI maintain its lead against tech giants like Google and Apple? They debate the limits of product defensibility, the power of platform defaults, and the strategic moves OpenAI might need to make to stay ahead.Topics include:The arguments for and against tariffsWhat happened during past U.S. tariff cycles—and how this one comparesWhether OpenAI can maintain its edge in a world of native AI platformsA possible playbook for OpenAI to build user lock-in beyond utilityWhat this era of AI competition means for the U.S.—and what could derail ithttps://fdra.org/wp-content/uploads/2025/03/Trade-War-Lessons-from-the-Past-2025.pdf?utm_source=newsletter&utm_medium=email&utm_campaign=newsletter_axiosmacro&stream=business00:00 Intro01:35 Liberation Day and Global Trade02:13 Freeform Discussion on Various Topics02:44 Podcasting and VC Life03:32 Debating Tariffs and National Security11:26 Arguments Against Tariffs22:19 Historical Context of Tariffs26:58 Economic Predictions and Stagflation33:39 The Forgotten Lessons of Recessions36:02 The Fixed vs. Growth Mindset in Economics37:17 The Democratic Party's Shift on Economic Policies42:33 The Rise of Populism and Its Impact50:28 OpenAI's Explosive Growth and Challenges54:28 The Competitive Landscape of AI58:33 The Future of AI and Consumer Behavior01:07:20 The Role of Social Networking in AI's Future01:10:43 Wildcard: The Role of XAI and GrokExecutive Producer: Rashad AssirProducer: Leah ClapperMixing and editing: Justin HrabovskyCheck out Unsupervised Learning, Redpoint's AI Podcast: / @redpointai

It's been a wild few years for Snowflake, from a record-breaking IPO to a plummeting stock price to a data-breach scandal. Sridhar Ramaswamy took over in the heat of the turmoil and helped steady the ship, in part by betting big on AI. Ramaswamy returns to Rapid Response to share lessons from the company's turnaround, including insights behind high profile partnerships with OpenAI and Anthropic, how Snowflake embraced China's Deepseek early, and why Ramaswamy calls Snowflake the most consequential AI-data company in the world.Visit the Rapid Response website here: https://www.rapidresponseshow.com/See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

You're outsourcing your brain to AI