Podcasts about snowflakes

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

Sign up for your one-dollar-per-month Shopify trial and start selling today at ⁠shopify.com/tyt Trump admin officials' “Clinton Plan” email narrative gets debunked! Trump's name was redacted from newly released Epstein documents. Trump FIRES Commissioner after bad job numbers. TYT panel DEBATES Kamala Harris's latest announcements. Hosts: John Iadarola, Cenk Uygur, Michael Shure SUBSCRIBE on⁠ YOUTUBE⁠ ☞ ⁠ https://www.youtube.com/@TheYoungTurks⁠ FOLLOW US ON: ⁠FACEBOOK⁠  ☞  ⁠ ⁠⁠https://www.facebook.com/theyoungturks⁠ ⁠TWITTER⁠  ☞      ⁠ https://twitter.com/TheYoungTurks⁠ ⁠INSTAGRAM⁠  ☞ ⁠ ⁠⁠https://www.instagram.com/theyoungturks⁠ ⁠TIKTOK⁠  ☞ ⁠         https://www.tiktok.com/@theyoungturks⁠

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

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

Bret Taylor's legendary career includes being CTO of Meta, co-CEO of Salesforce, chairman of the board at OpenAI (yes, during that drama), co-creating both Google Maps and the Like button, and founding three companies. Today he's the founder and CEO of Sierra, an AI agent company transforming customer service. He's one of the few people I've met who's been wildly successful at every level—from engineer to C-suite executive to founder—and across almost every discipline, including PM, engineer, CTO, COO, CPO, CEO, and board member.In this conversation, you'll learn:1. The brutal product review that nearly ended his Google career—and how that failure led to creating Google Maps2. The question Sheryl Sandberg taught him to ask every morning (“What's the most impactful thing I can do today?”) that transformed how he approached every role3. The three AI market segments that matter4. Why AI agents will replace SaaS products5. His framework for knowing whose advice to actually listen to—and how that came in handy during the OpenAI board drama6. The counterintuitive go-to-market strategy most AI startups get wrong7. Sierra's outcome-based pricing model that's transforming how enterprise software is sold (and why every SaaS company should adopt it)8. What he's teaching his kids about AI that every parent should know—Brought to you by:CodeRabbit—Cut code review time and bugs in half. Instantly: https://coderabbit.link/lennyBasecamp—The famously straightforward project management system from 37signals: https://www.basecamp.com/lennyVanta—Automate compliance. Simplify security: https://vanta.com/lenny—Where to find Bret Taylor:• X: https://x.com/btaylor• LinkedIn: https://www.linkedin.com/in/brettaylor/—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: https://twitter.com/lennysan• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/—In this episode, we cover:(00:00) Introduction to Bret Taylor(04:10) Bret's early career and first major mistake(08:24) The birth of Google Maps(11:57) Lessons from FriendFeed and the importance of honest feedback(31:30) The future of coding and AI's role(45:26) Preparing the next generation for an AI-driven world(48:46) AI in education(52:05) Business strategies in the AI market(01:04:38) Outcome-based pricing in AI(01:09:15) Productivity gains and AI(01:17:35) Go-to-market strategies for AI products(01:21:49) Lightning round and final thoughts—Referenced:• Marissa Mayer on LinkedIn: https://www.linkedin.com/in/marissamayer/• “Lazy Sunday”—SNL: https://www.youtube.com/watch?v=sRhTeaa_B98• Quip: https://quip.com/• Sierra: https://sierra.ai/• FriendFeed: https://en.wikipedia.org/wiki/FriendFeed• Sheryl Sandberg on LinkedIn: https://www.linkedin.com/in/sheryl-sandberg-5126652/• Jim Norris on LinkedIn: https://www.linkedin.com/in/halfspin/• Paul Buchheit on X: https://x.com/paultoo• Sanjeev Singh on LinkedIn: https://www.linkedin.com/in/sanjeev-singh-20a1b72/• Barack Obama: https://www.obamalibrary.gov/obamas/president-barack-obama• Oprah Winfrey: https://en.wikipedia.org/wiki/Oprah_Winfrey• Ashton Kutcher: https://en.wikipedia.org/wiki/Ashton_Kutcher• PayPal Mafia: https://en.wikipedia.org/wiki/PayPal_Mafia• Sam Altman on X: https://x.com/sama• Warren Buffett on X: https://x.com/warrenbuffett• Unix: https://en.wikipedia.org/wiki/Unix• Fortran: https://en.wikipedia.org/wiki/Fortran• C: https://en.wikipedia.org/wiki/C_(programming_language)• Python: https://www.python.org/• Perl: https://www.perl.org/• Rust: https://www.rust-lang.org/• Eleven Labs: https://elevenlabs.io/• The exact AI playbook (using MCPs, custom GPTs, Granola) that saved ElevenLabs $100k+ and helps them ship daily | Luke Harries (Head of Growth): https://www.lennysnewsletter.com/p/the-ai-marketing-stack• Confluent: https://www.confluent.io/• Databricks: https://www.databricks.com/• Snowflake: https://www.snowflake.com• Harvey: https://www.harvey.ai/• Behind the founder: Marc Benioff: https://www.lennysnewsletter.com/p/behind-the-founder-marc-benioff• Larry Summers's website: https://larrysummers.com/• AutoCAD: https://www.autodesk.com/products/autocad/overview• Revit: https://www.autodesk.com/products/revit/• The art and science of pricing | Madhavan Ramanujam (Monetizing Innovation, Simon-Kucher): https://www.amazon.com/Monetizing-Innovation-Companies-Design-Product/dp/1119240867• Pricing your AI product: Lessons from 400+ companies and 50 unicorns | Madhavan Ramanujam: https://lenny.substack.com/p/pricing-and-scaling-your-ai-product-madhavan-ramanujam• Cursor: https://cursor.com/• CodeX: https://openai.com/codex/• Claude Code: https://www.anthropic.com/claude-code• The rise of Cursor: The $300M ARR AI tool that engineers can't stop using | Michael Truell (co-founder and CEO): https://www.lennysnewsletter.com/p/the-rise-of-cursor-michael-truell• DirecTV: https://www.directv.com/• SiriusXM: https://www.siriusxm.com/• Wayfair: https://www.wayfair.com/• Akai: https://www.akaipro.com/• Chubbies Shorts: https://www.chubbiesshorts.com/• Weight Watchers: https://www.weightwatchers.com/• CLEAR: https://www.clearme.com/• Stripe: https://stripe.com/• Building product at Stripe: craft, metrics, and customer obsession | Jeff Weinstein (Product lead): https://www.lennysnewsletter.com/p/building-product-at-stripe-jeff-weinstein• Twilio: https://www.twilio.com/• ServiceNow: https://www.servicenow.com/• Adobe: https://www.adobe.com/• Jobs to be done: https://jobs-to-be-done.com/jobs-to-be-done-a-framework-for-customer-needs-c883cbf61c90• The ultimate guide to JTBD | Bob Moesta (co-creator of the framework): https://www.lennysnewsletter.com/p/the-ultimate-guide-to-jtbd-bob-moesta• Inception: https://www.imdb.com/title/tt1375666/• Alan Kay's quote: https://www.brainyquote.com/quotes/alan_kay_100831• Jobs at Sierra: https://sierra.ai/careers—Recommended books:• Monetizing Innovation: How Smart Companies Design the Product Around the Price: https://www.amazon.com/Monetizing-Innovation-Companies-Design-Product/dp/1119240867• Competing Against Luck: The Story of Innovation and Customer Choice: https://www.amazon.com/Competing-Against-Luck-Innovation-Customer/dp/0062435612• Endurance: Shackleton's Incredible Voyage: https://www.amazon.com/Endurance-Shackletons-Incredible-Alfred-Lansing/dp/0465062881—Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com.Lenny may be an investor in the companies discussed. To hear more, visit www.lennysnewsletter.com

If your marketing grew like a dividend-reinvestment plan, would you still let a quarterly target dictate every decision? Agility requires stacking returning gains faster than the market changes—think compound interest, but for marketing campaigns. Today we're going to talk about the Compound Marketing Engine, agentic AI, and why “data-driven” still needs greater adoption among leaders.To help me discuss this topic, I'd like to welcome Chris O'Neill, CEO of GrowthLoop. About Chris O'Neill Chris O'Neill is CEO of GrowthLoop and a board director at Gap Inc. (NYSE: GPS). His 25+ year career includes leadership roles at Google Canada, Evernote, and Xero, and board experience at Tim Hortons. As an advisor and investor, his portfolio includes Koho, Plus AI, and Neeva (acquired by Snowflake). Chris lives in Northern California with his wife, two children, and their dog Teddy. Chris O'Neill on LinkedIn: https://www.linkedin.com/in/croneill/ Resources GrowthLoop: https://www.growthloop.com https://www.growthloop.com The Agile Brand podcast is brought to you by TEKsystems. Learn more here: https://www.teksystems.com/versionnextnow Catch the future of e-commerce at eTail Boston, August 11-14, 2025. Register now: https://bit.ly/etailboston and use code PARTNER20 for 20% off for retailers and brandsDon't Miss MAICON 2025, October 14-16 in Cleveland - the event bringing together the brights minds and leading voices in AI. Use Code AGILE150 for $150 off registration. Go here to register: https://bit.ly/agile150" Connect with Greg on LinkedIn: https://www.linkedin.com/in/gregkihlstromDon't miss a thing: get the latest episodes, sign up for our newsletter and more: https://www.theagilebrand.showCheck out The Agile Brand Guide website with articles, insights, and Martechipedia, the wiki for marketing technology: https://www.agilebrandguide.com The Agile Brand is produced by Missing Link—a Latina-owned strategy-driven, creatively fueled production co-op. From ideation to creation, they craft human connections through intelligent, engaging and informative content. https://www.missinglink.company

Tiyi lives in North Michigan where she is the Mayor of her town! She has Irish, Creole and Nordic ancestry and can trace her lineage back to Haiti in 1702. Her family's story is fascinating. Tiyi starts off by telling us about her Great-Grandmother who met a leprechaun in Cork, Ireland and shows us the resulting enchanted shillelagh that has been passed down her family. We hear also about her grandfather's Hoodoo practices and the wisdom he passed down to her. Being a sensitive soul and clearly bearing the generations of practice of sensitive and honourable spiritual contact, Tiyi recalls hearing ghosts and voices as a child. On occasion she would encounter what she describes as 'The Slinky Lady' and one of her stories details flying out-of-body experience where she felt herself as part of the landscape. Tiyi works with forest spirits and shares a life-changing experience in a woodland which took place at a very difficult time in her life. During this wondrous encounter, she received a blessing from the forest. On another occasion she perceived 'The Gate Keeper' in the forest, from which she produced the painting that is shared in the episode. We hear about the 'talking tree' that her grandchildren reported, and we end with a series of mind bogging photos that could potentially indicate a Sasquatch encounter! It was a great honour to speak with Tiyi and I'm very grateful for all she shared about her life and experiences, so rich with meaning. Here is the beautiful blessing that she provided: "Spirit of this sacred place, Grant your blessing, grant your grace, Keep me safe in night and day, Hold me ever in your sway, Spirit of Water earth and Green Grant me sight for things unseen" Contact Tiyi via her website and be sure to subscribe to her YouTube channel. https://youtube.com/@spookymstiyi?si=eer9ZYefAiicPRb6 https://spookymstiyi.com/https://youtube.com/@spookymstiyi?si=eer9ZYefAiicPRb6 https://spookymstiyi.com/ ⭐️ JOIN THE MODERN FAIRY SIGHTINGS COMMUNITY GROUP ⭐️ ⁠⁠⁠⁠⁠⁠ / membership⁠⁠⁠⁠⁠ 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: / membership 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

If your marketing grew like a dividend-reinvestment plan, would you still let a quarterly target dictate every decision? Agility requires stacking returning gains faster than the market changes—think compound interest, but for marketing campaigns. Today we're going to talk about the Compound Marketing Engine, agentic AI, and why “data-driven” still needs greater adoption among leaders.To help me discuss this topic, I'd like to welcome Chris O'Neill, CEO of GrowthLoop. About Chris O'Neill Chris O'Neill is CEO of GrowthLoop and a board director at Gap Inc. (NYSE: GPS). His 25+ year career includes leadership roles at Google Canada, Evernote, and Xero, and board experience at Tim Hortons. As an advisor and investor, his portfolio includes Koho, Plus AI, and Neeva (acquired by Snowflake). Chris lives in Northern California with his wife, two children, and their dog Teddy. Chris O'Neill on LinkedIn: https://www.linkedin.com/in/croneill/ Resources GrowthLoop: https://www.growthloop.com https://www.growthloop.com The Agile Brand podcast is brought to you by TEKsystems. Learn more here: https://www.teksystems.com/versionnextnow Catch the future of e-commerce at eTail Boston, August 11-14, 2025. Register now: https://bit.ly/etailboston and use code PARTNER20 for 20% off for retailers and brandsDon't Miss MAICON 2025, October 14-16 in Cleveland - the event bringing together the brights minds and leading voices in AI. Use Code AGILE150 for $150 off registration. Go here to register: https://bit.ly/agile150" Connect with Greg on LinkedIn: https://www.linkedin.com/in/gregkihlstromDon't miss a thing: get the latest episodes, sign up for our newsletter and more: https://www.theagilebrand.showCheck out The Agile Brand Guide website with articles, insights, and Martechipedia, the wiki for marketing technology: https://www.agilebrandguide.com The Agile Brand is produced by Missing Link—a Latina-owned strategy-driven, creatively fueled production co-op. From ideation to creation, they craft human connections through intelligent, engaging and informative content. https://www.missinglink.company

Joe Marchese, Co-Founder of Human Ventures, talks with Jessica Lessin, our founder, CEO, and editor-in-chief, about AI's effect on ad businesses. Shaown Nandi, Director of Technology at Amazon Web Services, discusses the Chief AI Officer role. Kashish Gupta and Harsha Kapre join to discuss Snowflake's investment in Hightouch, and our reporter Aaron Holmes breaks down AI's impact on lowering software switching costs.Articles discussed on this episode: https://www.theinformation.com/articles/cursors-global-success-lifted-chinahttps://www.theinformation.com/articles/ai-cloud-startup-fireworks-discusses-4-billion-valuation-deal-lightspeed-indexhttps://www.theinformation.com/articles/microsofts-rivals-lean-ai-pry-away-longtime-customershttps://www.theinformation.com/articles/spotify-is-booming-except-for-its-ad-business TITV airs on YouTube, X and LinkedIn at 10AM PT / 1PM ET. Or check us out wherever you get your podcasts.

What's up everyone, today we have the pleasure of sitting down with István Mészáros, Founder and CEO of Mitzu.io. (00:00) - Intro (01:00) - In This Episode (03:39) - How Warehouse Native Analytics Works (06:54) - BI vs Analytics vs Measurement vs Attribution (09:26) - Merging Web and Product Analytics With a Zero-Copy Architecture (14:53) - Feature or New Category? What Warehouse Native Really Means For Marketers (23:23) - How Decoupling Storage and Compute Lowers Analytics Costs (29:11) - How Composable CDPs Work with Lean Data Teams (34:32) - How Seat-Based Pricing Works in Warehouse Native Analytics (40:00) - What a Data Warehouse Does That Your CRM Never Will (42:12) - How AI-Assisted SQL Generation Works Without Breaking Trust (50:55) - How Warehouse Native Analytics Works (52:58) - How To Navigate Founder Burnout While Raising Kids Summary: István built a warehouse-native analytics layer that lets teams define metrics once, query them directly, and skip the messy syncs across five tools trying to guess what “active user” means. Instead of fighting over numbers, teams walk through SQL together, clean up logic, and move faster. One customer dropped their bill from $500K to $1K just by switching to seat-based pricing. István shares how AI helps, but only if you still understand the data underneath. This conversation shows what happens when marketing, product, and data finally work off the same source without second-guessing every report.About IstvánIstvan is the Founder and CEO of Mitzu.io, a warehouse-native product analytics platform built for modern data stacks like Snowflake, Databricks, BigQuery, Redshift, Athena, Postgres, Clickhouse, and Trino. Before launching Mitzu.io in 2023, he spent over a decade leading high-scale data engineering efforts at companies like Shapr3D and Skyscanner. At Shapr3D, he defined the long-term data strategy and built self-serve analytics infrastructure. At Skyscanner, he progressed from building backend systems serving millions of users to leading data engineering and analytics teams. Earlier in his career, he developed real-time diagnostic and control systems for the Large Hadron Collider at CERN. How Warehouse Native Analytics WorksMarketing tools like Mixpanel, Amplitude, and GA4 create their own versions of your customer. Each one captures data slightly differently, labels users in its own format, and forces you to guess how their identity stitching works. The warehouse-native model removes this overhead by putting all customer data into a central location before anything else happens. That means your data warehouse becomes the only source of truth, not just another system to reconcile.István explained the difference in blunt terms. “The data you're using is owned by you,” he said. That includes behavioral events, transactional logs, support tickets, email interactions, and product usage data. When everything lands in one place first (BigQuery, Redshift, Snowflake, Databricks) you get to define the logic. No more retrofitting vendor tools to work with messy exports or waiting for their UI to catch up with your question.In smaller teams, especially B2C startups, the benefits hit early. Without a shared warehouse, you get five tools trying to guess what an active user means. With a warehouse-native setup, you define that metric once and reuse it everywhere. You can query it in SQL, schedule your campaigns off it, and sync it with downstream tools like Customer.io or Braze. That way you can work faster, align across functions, and stop arguing about whose numbers are right.“You do most of the work in the warehouse for all the things you want to do in marketing,” István said. “That includes measurement, attribution, segmentation, everything starts from that central point.”Centralizing your stack also changes how your data team operates. Instead of reacting to reporting issues or chasing down inconsistent UTM strings, they build shared models the whole org can trust. Marketing ops gets reliable metrics, product teams get context, and leadership gets reports that actually match what customers are doing. Nobody wins when your attribution logic lives in a fragile dashboard that breaks every other week.Key takeaway: Warehouse native analytics gives you full control over customer data by letting you define core metrics once in your warehouse and reuse them everywhere else. That way you can avoid double-counting, reduce tool drift, and build a stable foundation that aligns marketing, product, and data teams. Store first, define once, activate wherever you want.BI vs Analytics vs Measurement vs AttributionBusiness intelligence means static dashboards. Not flexible. Not exploratory. Just there, like laminated truth. István described it as the place where the data expert's word becomes law. The dashboards are already built, the metrics are already defined, and any changes require a help ticket. BI exists to make sure everyone sees the same numbers, even if nobody knows exactly how they were calculated.Analytics lives one level below that, and it behaves very differently. It is messy, curious, and closer to the raw data. Analytics splits into two tracks: the version done by data professionals who build robust models with SQL and dbt, and the version done by non-technical teams poking around in self-serve tools. Those non-technical users rarely want to define warehouse logic from scratch. They want fast answers from big datasets without calling in reinforcements.“We used to call what we did self-service BI, because the word analytics didn't resonate,” István said. “But everyone was using it for product and marketing analytics. So we changed the copy.”The difference between analytics and BI has nothing to do with what the tool looks like. It has everything to do with who gets to use it and how. If only one person controls the dashboard, that is BI. If your whole team can dig into campaign performance, break down cohorts, and explore feature usage trends without waiting for data engineering, that is analytics. Attribution, ML, and forecasting live on top of both layers. They depend on the raw data underneath, and they are only useful if the definitions below them hold up.Language often lags behind how tools are actually used. István saw this firsthand. The product stayed the same, but the positioning changed. People used Mitzu for product analytics and marketing performance, so that became the headline. Not because it was a trend, but because that is what users were doing anyway.Key takeaway: BI centralizes truth through fixed dashboards, while analytics creates motion by giving more people access to raw data. When teams treat BI as the source of agreement and analytics as the source of discovery, they stop fighting over metrics and start asking better questions. That way you can maintain trusted dashboards for executive reporting and still empower teams to explore data without filing tickets or waiting days for answers.Merging Web and Product Analytics With a Zero-Copy ArchitectureMost teams trying to replace GA4 end up layering more tools onto the same mess. They drop in Amplitude or Mixpanel for product analytics, keep something else for marketing attribution, and sync everything into a CDP that now needs babysitting. Eventually, they start building one-off pipelines just to feed the same events into six different systems, all chasing slightly different answers to the same question.István sees this fragmentation as a byproduct of treating product and marketing analytics as separate functions. In categorie...

Episode 15 of Game Time Tech marks the start of a “hot sports tech summer,” where hosts Melody Brue and Robert Kramer delve into the intersection of live sports and enterprise innovation. From advanced fan experiences to athlete analytics, the show highlights how major tech players are redefining operational efficiency, safety, and media strategy across some of the world's most visible sporting events. The hosts break down how T-Mobile's private 5G turned the PGA Championship into a real-time tech showcase, SailGP's racecourse into a precision-driven safety zone, and how Lenovo's FIFA and F1 partnerships bring performance and connectivity to the global stage. They also preview Snowflake's ambitious plans for the 2028 Olympics — a massive data effort aimed at empowering athletes and fans alike. Highlights include: T-Mobile's 5G at the PGA Championship Enabled seamless fan experiences and enhanced broadcast agility across complex terrain — minus the cable clutter. ⛵  SailGP's real-time racing tech Used sub-10 millisecond latency and network slicing to support sailor safety, telemetry, and first responder communications. Lenovo + FIFA World Cups 2026 & 2027 Blends brand play and smart infrastructure, supporting all 32 teams with tablets, smartphones, and collaboration platforms. Formula One Innovation Lenovo delivers diagnostics and real-time analytics, while other partners push sustainability and safety boundaries. Snowflake's Olympic Data Strategy Powers training, performance tracking, medical insights, and fan engagement as the data platform for the 2028 Summer Olympics.  

❄️ Snowflakes drift through the air as icy rain taps against frozen branches, and a cold wind weaves between the trees. The forest is wrapped in a shimmering blanket of white and silver, where every twig, leaf, and pine needle glistens under the weight of winter. Wind howls softly through the canopy, carrying the crisp scent of snow, the crackle of distant ice breaking, and the low, rolling rumble of thunder in the distance. It's a quiet storm—harsh yet beautiful—where snow, ice, rain, wind, and thunder join together in a frozen symphony, transforming the woods into a peaceful, glacial dream.

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

Ben Lerner was a fan of tech growing up, along side being into math and science. Right out of school, he joined a startup called Data Nitro, which attempted to integrate python into excel. Ever since then, he has been jamming in the tech and startup world. Outside of tech, he married to a computational biologist. He enjoys padel, which is kind of like Pickleball meets Tennis, and of course ping pong. Though, with his full time job as a CEO, he often finds his hobby is going home to write code.Ben realized that LLMs are really good at understanding code, leaps and bounds better than prior ML models. While he was at Google, he was also digging into how to apply LLMs to coding in general. Applying both of these things, he and his co-founders are seeing where this can be applied to the real world, starting with Snowflake compute.This is the creation story of Espresso AI.SponsorsPaddle.comSema SoftwarePropelAuthPostmanMeilisearchMailtrap.TECH Domains (https://get.tech/codestory)Linkshttps://espresso.ai/https://www.linkedin.com/in/espressoben/Support this podcast at — https://redcircle.com/code-story/donationsAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy

The Case of the 'Sandown Clown' on the Isle of Wight has intrigued researchers for decades. Now, a woman claiming to be the long-sought-after witness, 'Fay' (a pseudonym) who was seven when the encounter took place has made contact with fellow Wight Islander, Paul Wilson. The woman who has provided compelling material evidence now reports subsequent encounters took place with the same being in 1982, 1983, 1984 and 1989. Here Paul describes those encounters and reveals further information about the original encounter, which was reported to BUFORA in 1978 We also hear about her father's experiences, how they may relate to her encounters and much more. Links to Paul's contact info and upcoming talks:Upcoming talk 9th August (which will be recorded - but I don't think streamed):https://www.bembridgefort.org/whats-on-events?store-page=The-Mystery-of-the-Sandown-Clown-Declassified-09-08-25-p758046058 Follow up presentation 1st November:https://www.bembridgefort.org/whats-on-events?store-page=Hello-are-you-still-there-The-Sandown-Clown-Part-Two-01-11-2025-p758049215 Paul's Contact on Blue Sky:https://bsky.app/profile/wihtlore.uk Paul's recent interview on the AP Strange Show ⁠ (really worth a listen - an excellent discussion) ⁠ ⭐️ JOIN THE MODERN FAIRY SIGHTINGS COMMUNITY GROUP ⭐️ ⁠⁠⁠⁠⁠https://www.patreon.com/themodernfairysightingspodcast/membership⁠⁠⁠⁠ 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: https://www.patreon.com/themodernfairysightingspodcast/membership 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

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

“Careful back there…”   Generally speaking, an artist's DEBUT ALBUM will often be quite good, while their SOPHOMORE ALBUM, in contrast, will often be far more advanced, sophisticated, and light years better than the first, in terms of song writing and overall production. While this is more often than not the rule, there are some notable exceptions.   As with asking a parent with 2 kids “which one do you love more?”, sometimes the answer is obvious, and other times it's “not even close”. And in the instances where dissenting opinions clashed, the resulting debate may have impacted the feelings of others “forevermore”.   It's time to “go get your mom” and bear witness to some “Gonz Bozonders” as we discuss the blockbuster movie magic behind “Shark Week” and prepare to “show no Morrissey” with regard to “butt scissoring” when you JOIN US as we try to determine whether various metal artist's second albums are BETTER OR WORSE than their first.   Visit www.metalnerdery.com/podcast for more on this episode Help Support Metal Nerdery https://www.patreon.com/metalnerderypodcast Leave us a Voicemail to be played on a future episode: 980-666-8182 Metal Nerdery Tees and Hoodies – metalnerdery.com/merch and kindly leave us a review and/or rating on your favorite Podcast app Follow us on the Socials: Facebook - Instagram - TikTok Email: metalnerdery@gmail.com Can't be LOUD Enough Playlist on Spotify Metal Nerdery Munchies on YouTube @metalnerderypodcast   Show Notes: (00:01): “23 lbs down, son…”/ “That's a heart healthy #origami diet…”/ #semiglutide / “Every time I come, you're like ‘that's fine'…” / ***WARNING: #listenerdiscretionisadvised *** / #RussellsTwanglifiedVocals / ***WELCOME BACK TO THE METAL NERDERY FENG SHUI UNDERGROUND BUNKERPOON PODCAST!!!*** / “I'm getting feng shui'd with my Wang Chung…”/ #thisepisodesbeeroftheepisode / #ObiOneCanObi / “Oh it smells like green pee…”/ “The cover model on the upstairs magazine…”/ #starcrunch / #uhhhhkay   (06:00): ***PATREON SHOUT OUT!!!*** / ***COME AND JOIN US ON THE PATREON AT patreon.com/metalnerderypodcast *** / “It's like two dudes butthole fucking each other…”/ #buttscissoring / ***EMAIL US AT metalnerdery@gmail.com and VOICEMAIL US AT 980-666-8182!!!*** / “It'll probably be out before this episode…the LAST episode…”/ “Don't choke on those nuts, bro…”/ “I'm fuckin' trippin' balls…”/ “You might wanna swallow first…”   (10:30): #RussellsReflectionsMovieEdition #Jaws / “That's not Snowflake…”/ #sharkweek / “Every month is shark week for women…”/ “Oh, you mean like the #moonlanding…”/ “BTW, who owned #MarthasVinyard?”/ “Without men, women would never be mothers…”/ #Duel #StevenSpielberg / #BJAndTheBear #EveryWhichWayButLoose #AnyWhichWayYouCan / “I'm telling you…go get your mom…” / “These guys are assholes…”/ #spoiler / “So anyway, that was Steven Spielberg's first attempt…”/ “So it's like #TheShining vs The Shining…”/ “That was his 4th movie (Jaws)…”/ “Sorry, had a couple of beers…(too many)”/ #swallowit / “I know this sounds weird, but…”/ #GonzBozonders / “I might have felt a little weird down there…”   (23:23): “I forget what we're doing…/ #TheDocket / METAL NERDERY PODCAST PRESENTS:  2ND ALBUMS THAT ARE BETTER (OR WORSE) THAN THE DEBUT ALBUMS / “They're not all gonna be equal…is it better or is it worse?” / “Okay, I'm gonna make this real easy to start…”/ “What?” / Hell Awaits vs Show No Mercy / “How about Shout At The Devil vs Too Fast For Love?” / “I am so lost…exactly…”   (29:43): “Kreator…how about Kreator?” / “Violent…what is it?” / “It's not that different…it's not as memorable…”/ “Put on your 1983 hat…Ride The Lightning (was not even out yet) …”/ “I was gonna say DirtBox…”/ Black Sabbath vs Paranoid / “If we're doing a #DeathMatch…”/ Van Halen or Van Halen II? / “This is effectively a Death Match between first and second albums…”/ #VanHalen YOU'RE NO GOOD (Van Halen II – 1979) / “Maybe Kerry King played bass on all the Van Halen albums…”   (38:28): “I do wanna go back to the #Slayer thing…”/ #titillation / “You like Show No Morrissey…”/ “Progressive? Maybe…”/ “I didn't fart in your face, I didn't dishonor your family by farting in your face…”/ The Legacy or The New Order? / “That's very easy…”/ “It's like asking a parent with 2 kids ‘which one do you love more?'…”/ Holy Diver or The Last In Line?/  “Careful back there…”/ “No I don't! OMG, I'm not trying to be difficult!”/ “Let's make an album real quick…”/ #heshammered / “What are we doing now? He's lost the argument…you're doing what women do…because you lost…”/ “That's the next episode…”/ #forevermore / “So anyway…”   (49:55): “Which #Pantera are we talking about?” / “Okay, that one loses…”/ “Here's why Vulgar is so much better…”/ “Roadhouse Blues, but heavier…”/ “Toly different…”/ A NEW LEVEL (Vulgar Display of Power – 1992) / “Did it make you feel special in your special place?”   (54:29): “This is gonna hurt…Blizzard or Diary?” / “If you're talking 1982…”/ #OzzyOsbourne OVER THE MOUNTAIN (Diary Of A Madman – 1981) / #MatthewsReflections / THE ULTIMATE SIN (The Ultimate Sin – 1986) / ***NOTE: This episode was pre-recorded prior to Ozzy's passing on 07/22/2025. R.I.P. and THANK YOU to #ThePrinceOfDarkness for everything you've done for metal!!! #HailAndFarewell*** / “We did the #BarkAtTheMoon dive…put that keyboard back in the closet where it belongs…”   (1:00:15): “What about AC/DC?” / “It was '81 when Dirty Deeds was released in the U.S.” / “Does she know how to run all the equipment?” / “What about #Exodus? Bonded By Blood or Pleasures? / “I like rabbit holes…”/ PIRANHA (Bonded By Blood – 1985) / “I think I'm done…I should go…”/ ***IF YOU CAN THINK OF ANY OTHER EXAMPLES, EMAIL US OR VOICEMAIL US AND GIVE US YOUR 1ST & 2ND ALBUMS…*** / #untilthenext #outroreel 

What makes AI agents actually work inside the enterprise?I had the chance to sit down with Jassim Latif, Head of Product Ecosystem at Glean, during the Glean:GO conference—and we went deep on exactly that.Jassim and his team are building more than just features—they're building the connective tissue that lets AI agents plug into the systems we all use every day. Glean already integrates with 100+ tools (think: Salesforce, Workday, Snowflake, Slack… the list goes on), and those connections are what make agents context-aware and actually helpful.A few key takeaways from our conversation: • AI isn't useful in isolation. Without integration, there's no context. Glean's approach to connectors is what breaks down the silos. • The vision is open and interoperable. That's why Glean is doubling down on partnerships and why recent integrations with Snowflake and Workday matter so much. • Glean's ecosystem isn't just growing—it's becoming a platform. Prebuilt agents, curated connectors, and opportunities for developers to build on top of it? That's the next frontier.If you're thinking about how to bring AI agents into your enterprise workflows, this is a conversation worth paying attention to.Thanks Jassim for the thoughtful discussion—and for helping bring the Glean ecosystem to life in such a powerful way.#data #ai #agents #gleango #theravitshow

„Rodiče si dnes musejí respekt dětí zasloužit. Moje babička své matce vykala, respekt tam byl jasně daný a nebylo kam uhnout. V tom to mají dnešní rodiče složitější,“ říká rodinný psychoterapeut a psycholog Jan Kulhánek. „Respekt je totiž potřeba.“

„Rodiče si dnes musejí respekt dětí zasloužit. Moje babička své matce vykala, respekt tam byl jasně daný a nebylo kam uhnout. V tom to mají dnešní rodiče složitější,“ říká rodinný psychoterapeut a psycholog Jan Kulhánek. „Respekt je totiž potřeba.“Všechny díly podcastu Houpačky můžete pohodlně poslouchat v mobilní aplikaci mujRozhlas pro Android a iOS nebo na webu mujRozhlas.cz.

In questa puntata del #podcast #latetechshow

Hateful texts and Snowflake meets Snowball on News Radio KKOBSee omnystudio.com/listener for privacy information.

Episode Overview Retailers recognize the need to transform, but most are missing the crucial first step. In this episode of Talk Retail to Me, Parker Avery's Dan Wittner joins Snowflake's Freddy Guard for a candid discussion about one of the most underestimated barriers to retail innovation: disconnected, messy, and misgoverned retail data. Whether it's launching AI initiatives, reshaping supply chains, or reimagining omnichannel experiences, true retail transformation begins with a solid data foundation. But legacy systems, siloed functions, and a lack of clear governance continue to block progress, even for Fortune 500 retailers. Dan and Freddy break down why transformation fails without clean, connected data and outline how progressive retailers are finally getting it right. From AI-enabled data cleanup to demand planning and inventory visibility, they share actionable steps for retailers ready to transform and realize meaningful, sustainable business results.   Featuring Dan Wittner – Chief Revenue Officer, The Parker Avery Group Freddy Guard – Industry Principal, Retail & Consumer Goods, Snowflake   Key Takeaways Transformation begins with data. No technology can deliver ROI without a clean, unified data foundation. Retail is at an inflection point. Channel complexity, evolving shopper behavior, and economic volatility demand better data visibility and governance. Data strategy must be a business strategy. Aligning IT and business objectives is crucial for driving meaningful change. Start small to scale fast. Break inertia by focusing on a high-impact use case, then use that momentum to drive enterprise-wide transformation. AI is no longer the barrier. With modern tools, data cleanup and governance are now finally scalable, enabling faster decision-making and smarter planning. Organizational change management is critical to successful transformation. Technology alone doesn't transform a business; people and culture do. Success requires vision and leadership. Winning retailers are pairing strategic roadmaps with empowered business champions to drive sustainable change. Episode Highlights Why retailers must rethink data as a transformation enabler, not just a technical asset The disconnect between AI hype and data reality How legacy thinking is holding back progress What meaningful change looks like, from inventory chaos to demand-driven agility Real-world case study: how a global grocer unlocked enterprise-wide transformation by modernizing data Why transformation efforts fail without business alignment and culture change How to build the right capabilities roadmap: assessment, strategy, and execution Related Content & Resources Video Replay on YouTube:  https://youtu.be/j7GJLoeOEmM   Parker Avery Retail Consulting Services https://parkeravery.com/retail-consulting/   Learn more about Snowflake http://www.snowflake.com/   Blog Post |  Optimizing Data Readiness for AI in Retail https://parkeravery.com/optimizing-data-readiness-for-ai-in-retail/   Talk Retail to Me Podcast | Winning with Data and Hyper-Localized Assortments https://parkeravery.com/winning-with-data-and-hyper-localized-assortments/   Insights | The Expert Guide to Data Governance in Retail https://parkeravery.com/data-governance-in-retail/   Case Study | New Strategy for Master Data Supports Core Merchandising Transformation https://parkeravery.com/industry-experience/new-strategy-for-master-data-supports-core-merchandising-transformation/

AGNTCY - Unlock agents at scale with an open Internet of Agents. Visit https://agntcy.org/ and add your support. What if the most important AI conference in the world wasn't built by academics or hype merchants, but by operators who actually understand what businesses need? In this episode, Craig sits down with Andrew Blum, Co-Founder and COO of HumanX, the breakout AI conference that has quickly become the go-to gathering for enterprise leaders, AI builders, and government policymakers. Andrew shares the inside story of how HumanX went from an idea born in a VC incubator to hosting 3,300+ attendees, 350 speakers, and leaders from OpenAI, Anthropic, Mistral, Snowflake, and more, all within 18 months. You'll hear how HumanX is different from other conferences, why face-to-face connection matters more than ever, and how HumanX is creating the bridge between AI innovation and real-world business transformation. This is a behind-the-scenes look you won't want to miss. Like and subscribe for more! Stay Updated: Craig Smith on X: https://x.com/craigss Eye on A.I. on X: https://x.com/EyeOn_AI

Join Premium! Ready for an ad-free meditation experience? Join Premium now and get every episode from ALL of our podcasts completely ad-free now! Just a few clicks makes it easy for you to listen on your favorite podcast player.  Become a PREMIUM member today by going to --> https://WomensMeditationNetwork.com/premium Breathe in, slowly and deeply, and allow your body to just let go, to just relax. LONG PAUSE Take another breath and turn off all  the thoughts and chatter of the day until there is quiet  in your mind. LONG PAUSE If a stray thought  makes its way into your consciousness, thank it, and let it  slide away. Join our Premium Sleep for Women Channel on Apple Podcasts and get ALL 5 of our Sleep podcasts completely ad-free! Join Premium now on Apple here --> https://bit.ly/sleepforwomen  Join our Premium Meditation for Kids Channel on Apple Podcasts and get ALL 5 of our Kids podcasts completely ad-free! Join Premium now on Apple here → https://bit.ly/meditationforkidsapple Hey, I'm so glad you're taking the time to be with us today. My team and I are dedicated to making sure you have all the meditations you need throughout all the seasons of your life.  If there's a meditation you desire, but can't find, email us at Katie Krimitsos to make a request. We'd love to create what you want!  Namaste, Beautiful,

Ari Paparo and Eric Franchi sit down with Erin Foxworthy, Global Head of Marketing and Advertising at Snowflake, to discuss how marketing teams are rethinking data infrastructure in a shifting landscape. Erin reflects on her path through agencies, entertainment, and tech, and how that journey informs her current perspective. The conversation covers the move from legacy tools like DMPs to composable CDPs, the importance of data governance, and why some companies are opting to keep data where it is. They also touch on clean rooms, identity resolution, and the early role of AI in working with structured marketing data. Learn more about your ad choices. Visit megaphone.fm/adchoices

Artist, Gina McAdam kindly shares her memories of childhood companionship with the presence of fairies in her garden and more recently, right before Covid Lockdown, seeing a small "conker shaped", rodent-sized being who walked into her lounge on it's knuckles and reversed out backwards! In the full length (1.5 hour) version on Patreon we discuss the resistance Gina felt towards talking about her experiences and how that shifted for her during our chat. She shares the story of the female spirit of a previous owner who regularly visited Gina's family in their childhood home. We hear how Gina and her two sisters became familiar with Otherworld, despite having parents who were atheists, and how her Father's family may have been more familiar with these worlds. ⭐️ JOIN THE MODERN FAIRY SIGHTINGS COMMUNITY GROUP ⭐️ ⁠⁠⁠⁠https://www.patreon.com/themodernfairysightingspodcast/membership⁠⁠⁠ 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: https://www.patreon.com/themodernfairysightingspodcast/membership 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

This week on The Data Stack Show, Eric and welcomes back Ruben Burdin, Founder and CEO of Stacksync as they together dismantle the myths surrounding zero-copy ETL and traditional data integration methods. Ruben reveals the complex challenges of two-way syncing between enterprise systems like Salesforce, HubSpot, and NetSuite, highlighting how existing tools often create more problems than solutions. He also introduces Stacksync's innovative approach, which uses real-time SQL-based synchronization to simplify data integration, reduce maintenance overhead, and enable more efficient operational workflows. The conversation exposes the limitations of current data transfer techniques and offers a glimpse into a more declarative, flexible approach to managing enterprise data across multiple systems. You won't want to miss it.Highlights from this week's conversation include:The Pain of Two-Way Sync and Early Integration Challenges (2:01)Zero Copy ETL: Hype vs. Reality (3:50)Data Definitions and System Complexity (7:39)Limitations of Out-of-the-Box Integrations (9:35)The CSV File: The Original Two-Way Sync (11:18)Stacksync's Approach and Capabilities (12:21)Zero Copy ETL: Technical and Business Barriers (14:22)Data Sharing, Clean Rooms, and Marketing Myths (18:40)The Reliable Loop: ETL, Transform, Reverse ETL (27:08)Business Logic Fragmentation and Maintenance (33:43)Simplifying Architecture with Real-Time Two-Way Sync (35:14)Operational Use Case: HubSpot, Salesforce, and Snowflake (39:10)Filtering, Triggers, and Real-Time Workflows (45:38)Complex Use Case: Salesforce to NetSuite with Data Discrepancies (48:56)Declarative Logic and Debugging with SQL (54:54)Connecting with Ruben and Parting Thoughts (57:58)The Data Stack Show is a weekly podcast powered by RudderStack, customer data infrastructure that enables you to deliver real-time customer event data everywhere it's needed to power smarter decisions and better customer experiences. Each week, we'll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

In this episode of the AI Leaders Podcast, Sen Ramani, Global Lead for Data and AI at Accenture, sits down with Sridhar Ramaswamy, CEO of Snowflake, for a dynamic conversation on the evolving role of data and AI in enterprise transformation. Together, they dive into product innovation, the rise of agentic AI, and how businesses can unlock value through reliable, scalable AI solutions.

Episode SummaryIn this episode of OnBase, host Chris Moody sits down with Mark Boothe to explore how AI agents are reshaping the future of marketing. Mark brings candid insights from his tenure at Domo, diving into the transformative potential of agentic workflows, the necessity of AI readiness, and how marketers can navigate both disruption and opportunity.Mark shares practical advice on leveraging agents as "tireless teammates" for joyless, repetitive tasks, enhancing competitive intelligence, scaling content creation, and making smarter, faster decisions across go-to-market functions. He also reflects on challenges CMOs face today—from attribution complexity to shifting SEO dynamics—and explains why waiting to adopt AI is the riskiest move of all.This conversation is a must-listen for B2B marketers, CMOs, and business leaders looking to scale with purpose and intelligence in the age of autonomous agents.Key TakeawaysAI Agents Are Here—and You're Already Late  Mark emphasizes that CMOs can no longer afford to delay AI adoption. Organizations that do not actively experiment with agents risk falling irreparably behind in terms of go-to-market maturity and innovation.Tireless Teammates, Not Job Takers  AI agents are best positioned to automate the joyless, manual tasks humans hate. With proper training and data, they can deliver superhuman memory, adaptability, and task execution across industries.Data Readiness Is Make or Break  The phrase "garbage in, garbage out" rings true—Mark stresses that AI without structured, contextualized, and governed data is not just ineffective, but dangerous.Align AI with Enterprise Goals  AI efforts must be anchored in clear business priorities, not shiny objects. Mark warns against focusing solely on vanity metrics and stresses the importance of tying every initiative back to pipeline, revenue, and customer value.Don't Just Automate—Adapt  Traditional automation is static. AI agents enable adaptability—responding to market shifts, customer signals, and business changes in real-time with minimal human input.Quotes“AI agents should make you way smarter, faster, and more adaptable—if you're aligned with the right goals.”Resource recommendations⁠Jasper⁠ – For scalable content generation.⁠Domo⁠ – For real-time marketing analytics and agent orchestration.Resource recommendationsBooks:⁠How to Win Friends and Influence People by Dale Carnegie⁠ – Timeless lessons in people-first leadership.⁠Dare to Lead by Brené Brown⁠ – Currently being read by Mark's team book club for fostering courageous leadership.⁠Patrick Lencioni's books⁠ – Especially on team dynamics and healthy conflict.B2B Leaders to follow⁠Denise Persson⁠, CMO of Snowflake, for leading high-impact B2B marketing.About the GuestMark brings over 15 years of diverse marketing experience and is passionate about driving Domo's business growth through marketing initiatives. His mission is to empower all Domo customers and prospects with the insights and tools they need to make better business decisions and achieve their goals. In his previous role as VP of Community, Partner, and Field Marketing, Mark and his teams established new and strengthened existing programs to address customer pain points and create a greater sense of community. They also executed campaigns, programs and events that showcase the value of the Domo platform.Before joining Domo, Mark spent more than 10 years working in customer relations and marketing at Adobe and worked at Instructure as its senior director of customer marketing. He received his MBA from Utah State University and a bachelor's degree from Brigham Young University. Outside of work, Mark enjoys spending time with his family and traveling. ⁠Connect with Mark.⁠

On this Salcedo Storm Podcast:Amber Duke is the Senior Editor of the Daily Caller and a co-host of The Hill's “Rising,” a daily online news program. She's the Author of insightful book, The Snowflakes' Revolt: How Woke Millennials Hijacked American Media.

Maor Shlomo is the founder of Base44, an AI-powered app builder that he bootstrapped to an over $80 million acquisition by Wix in just six months. As a solo founder (with severe ADHD), he hit $1 million ARR just three weeks after launch and grew the product to more than 400,000 users, all while navigating two wars in Israel and never raising a dollar of outside funding.What you'll learn:1. The growth playbook that took Base44 from three friends to 400,000 users without spending any money on marketing2. How he hasn't written a single line of front-end code in three months—and how to structure your code repository to make it easier for AI to write your code3. His AI productivity stack that allowed him to compete against heavily funded competitors4. Why being a solo founder in AI might be the ultimate advantage (and the wedding story that almost killed the business)5. The story of signing the $80M acquisition deal while war broke out with Iran6. How to identify when to sell vs. stay independent (and why Maor chose acquisition despite being highly profitable)7. The counterintuitive product decision that tripled activation by removing a “helpful” feature8. How building in public on LinkedIn drove more growth than any paid channel—Brought to you by:Sauce—Turn customer pain into product revenue: https://sauce.app/lennyDscout—The UX platform to capture insights at every stage: from ideation to production: https://www.dscout.com/Contentsquare—Create better digital experiences: https://contentsquare.com/lenny/—Transcript: ⁠https://www.lennysnewsletter.com/p/the-base44-bootstrapped-startup-success-story-maor-shlomo⁠—My biggest takeaways (for paid newsletter subscribers): https://www.lennysnewsletter.com/i/167384119/my-biggest-takeaways-from-this-conversation—Where to find Maor Shlomo:• X: https://x.com/ms_base44• LinkedIn: https://www.linkedin.com/in/maor-shlomo-1088b4144/—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: https://twitter.com/lennysan• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/—In this episode, we cover:(00:00) Introduction to Maor and Base44(08:16) The origin story: how Base44 came to be(14:55) Bootstrapping and solo founding: challenges and insights(22:52) Productivity hacks and tech stack for solo founders(27:23) How to get started using Base44(28:47) Thoughts on raising money(34:05) Distribution in the age of AI(36:09) Ambition and goals(40:05) Growth strategies: from first users to thousands(51:32) Building in public(57:42) The solo founder journey(01:00:23) Community support(01:03:23) Hackathons and partnerships(01:06:42) The importance of velocity in product development(01:08:20) Technical stack and infrastructure insights(01:15:24) Activation lessons(01:18:19) The acquisition journey with Wix(01:25:14) Final thoughts and advice for founders—Referenced:• Base44: https://base44.com/• Retool: https://retool.com/• Tzofim: https://www.israelscouts.org/• Y Combinator: https://www.ycombinator.com/• RescueTime: https://www.rescuetime.com/• Cursor: https://www.cursor.com/• Wix: https://www.wix.com/• The rise of Cursor: The $300M ARR AI tool that engineers can't stop using | Michael Truell (co-founder and CEO): https://www.lennysnewsletter.com/p/the-rise-of-cursor-michael-truell• Building Lovable: $10M ARR in 60 days with 15 people | Anton Osika (CEO and co-founder): https://www.lennysnewsletter.com/p/building-lovable-anton-osika• Inside Bolt: From near-death to ~$40m ARR in 5 months—one of the fastest-growing products in history | Eric Simons (founder and CEO of StackBlitz): https://www.lennysnewsletter.com/p/inside-bolt-eric-simons• Behind the product: Replit | Amjad Masad (co-founder and CEO): https://www.lennysnewsletter.com/p/behind-the-product-replit-amjad-masad• Everyone's an engineer now: Inside v0's mission to create a hundred million builders | Guillermo Rauch (founder and CEO of Vercel, creators of v0 and Next.js): https://www.lennysnewsletter.com/p/everyones-an-engineer-now-guillermo-rauch• Snowflake: https://www.snowflake.com• Yoav Orlev on LinkedIn: https://www.linkedin.com/in/yoav-orlev-4a044b72• WhatsApp: https://www.whatsapp.com/• Amazon: https://www.amazon.com/• Google: https://about.google/• MongoDB: https://www.mongodb.com/• Deloitte: https://www.deloitte.com/• Render: Render.com• Claude 4: https://www.anthropic.com/news/claude-4• Gemini: https://gemini.google.com/app• Cloudflare: https://www.cloudflare.com/—Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com.Lenny may be an investor in the companies discussed. To hear more, visit www.lennysnewsletter.com

AI agents need data to function, but who actually controls the flow of that data?In this episode, we chat with Marcel from SQD about how decentralized data infrastructure could change the game for the AI agent economy. SQD is building what they call "the Airbnb of databases", a decentralized network of over 3,000 nodes providing data without vendor lock-ins.We dive into why traditional data giants like Snowflake can't support billions of AI agents and how decentralized infrastructure might be the only way to prevent AI superintelligence from being controlled by a handful of tech giants.Let's get into it.The Rollup---Newton is the trust layer for autonomous finance. Smart. Secure. Verifiable. Built for a future where AI agents replace apps and interfaces. Learn more here: https://www.magicnewton.com/Get effortless access to crypto's best DeFi yields. Continually rebalanced by AI powered Keepers to earn you more while saving you time and reducing costs. Learn more here: https://summer.fi/earn?referralCode=2000096----Website: https://therollup.co/Spotify: https://open.spotify.com/show/1P6ZeYd9vbF3hJA2n7qoL5?si=7230787bb90947efPodcast: https://therollup.co/category/podcastFollow us on X: https://www.x.com/therollupcoFollow Rob on X: https://www.x.com/robbie_rollupFollow Andy on X: https://www.x.com/ayyyeandyJoin our TG group: https://t.me/+8ARkR_YZixE5YjBhThe Rollup Disclosures: https://therollup.co/the-rollup-discl

A conversation with Shane DeLeon about, music, zines, labels, small business, and friends.

In today's Cloud Wars Minute, I break down the latest growth rankings among the top 10 cloud providers, highlight Google Cloud's continued lead, and show how legacy giants like Oracle and SAP are rapidly transforming into cloud powerhouses.Highlights00:15 — I wanted to share with you the latest numbers for the Cloud Wars Growth Chart, where we take a look at the growth rates of the Cloud Wars Top 10 companies. Google Cloud holds on to the number one spot. But SAP and Oracle are breathing down Google Cloud's neck. Google Cloud grew in its most recent quarter by 28%, with revenue of $12.3 billion.00:51 — Tied for second place are these two so-called legacy companies. Both grew in their most recent quarters by 27%. SAP's cloud revenue is now $5.3 billion, Oracle's $6.7 billion. Next quarter, it is likely that Oracle could well be number one on this list. But that's all the future, and we will see how that goes.01:42 — In fourth place is Microsoft, 20% growth rate on $42.4 billion in revenue. ServiceNow grew 19% as it cracked $3 billion for the first time in a quarter. AWS, 17% — $29.3 billion. Similar to what we said about Microsoft: 17% growth rate on almost $30 billion in revenue is very impressive.03:00 — Workday, up almost 14%, to $2.1 billion. Salesforce at 8%, $9.8 billion. Snowflake, up 26% to $997 million. I'm not placing Snowflake within the regular run until its quarterly revenue exceeds $1 billion. It's extremely likely that next quarter, we'll see Snowflake take its place in the regular run of companies. IBM does not report its cloud revenue anymore. I hope IBM will change that policy.04:22 — It's fascinating to see a purely built-for-the-cloud company, Google Cloud, in the number one spot. And who's behind it? Two venerable companies — mostly still in the software business completely for SAP — but Oracle now, in addition to its fast-growing cloud software business, also has a hypergrowth cloud infrastructure business. Visit Cloud Wars for more.

Rob Woollen, founder of Sigma Computing, shares the unfiltered reality of going from 0 to $100M ARR. After spending seven years grinding without product-market fit, Sigma finally hit an inflection point—tripling revenue year over year. Rob dives deep into the pivots, setbacks, and critical decisions that turned early failure into a massive success. If you're an early-stage founder feeling stuck, this episode will show you how patience, resilience, and radical product decisions can transform your startup.Why You Should ListenHow Sigma went from $0 to $100M ARR—but spent 7 years figuring it out.The pivot that turned years of failure into explosive growth.Why obsessing over speed to product-market fit is the wrong game.How to handle the psychological toll of startup uncertainty.The hidden power of building features your customers never ask for.Keywordsproduct-market fit, Sigma Computing, pivot, startup growth, business intelligence, Snowflake, early-stage startup, SaaS growth, cloud analytics, founder stories00:00:00 Intro00:02:49 Debating speed to product–market fit00:10:14 Quitting Salesforce and the EIR leap00:23:12 Two years of prototypes that went nowhere00:36:53 The Snowflake meeting and spreadsheet pivot00:45:41 Dealing with Investors00:52:30 Tripling three years straight to $100M ARR00:54:46 Why most people shouldn't start a companySend me a message to let me know what you think!

Real Talkers Rosie and Cactus Sheriff are fired up over the UCP's library book distraction, while Jennifer and AJ trade barbs after our Don Iveson interview. David, Eddie the Valiant, and Thera-P share their hot takes on residential infill. It's The Flamethrower presented by the DQs of Northwest Edmonton and Sherwood Park! FIRE UP YOUR FLAMETHROWER: talk@ryanjespersen.com When you visit the DQs in Palisades, Namao, Newcastle, Westmount, and Baseline Road, be sure to tell 'em Real Talk sent you! FOLLOW US ON TIKTOK, X, INSTAGRAM, and LINKEDIN: @realtalkrj & @ryanjespersen The views and opinions expressed in this show are those of the host and guests and do not necessarily reflect the position of Relay Communications Group Inc. or any affiliates.

Siôn from Gwynedd, North West Wales shares some astonishing stories: A circle of beings appearing and reappearing, supernatural attack at a Crossroads, his childhood experience of a being seemingly impersonating his teddy, 'Pinky', his encounter a Green Wisp, the 'Egryn Lights' case and local 'Fairy Lakes' folklore.

We're talking about things that are making us happy, which of course is a reflection of the fact that we are indeed very happy and nothing is wrong... Get the full episode by joining us on Patreon! ⁠https://www.patreon.com/thebipod⁠Prefer to get social first? Follow us on Instagram @TheBiPod.Want to be included in future mail bag episodes, or just give us your thoughts? You can email us at hey@thebipod.com.The Bi Pod is hosted by Evan Chelsee and Christina Brown. This episode was edited and produced by Evan Chelsee. Our theme song is Coming Home by Snowflake (c) copyright 2020 Licensed under a Creative Commons Attribution Noncommercial  (3.0) license. ⁠http://dig.ccmixter.org/files/snowflake/61307⁠ Ft: Analog By Nature.

As we take a short summer break, Nick decided to revive his Triple Take segment with his thoughts on the Texas State move to the PacState Conference, the potential of La. Tech joining the Belt, and the TSAB Trolls that win a natty then cry about everything.Bobcats Bolt [01:20]Tech to the Belt? [08:06]TSAB Snowflakes [17:41]

He vanished in a beam of light. When he came back, he said he'd been taken aboard a UFO. And that was just the beginning.In 1975, 22-year-old logger Travis Walton disappeared without a trace after a terrifying encounter with a UFO in the forests near Snowflake, Arizona. When he reappeared five days later, confused and frightened, he claimed he'd been taken aboard an alien craft. Was it the most credible alien abduction in U.S. history? Or an elaborate hoax designed to escape a failed logging contract?This week, Shea is joined by her brother Jason—recording on location in Arizona—to explore the infamous Travis Walton incident. We break down what happened on that strange November night along the Mogollon Rim, dig into Travis's vivid and chilling account of his time aboard the ship, and examine how the story inspired the nightmare-fuel film Fire in the Sky. We also look at how Walton has turned this event into a career, and why even some UFO believers think the whole thing might've been staged. 

Ishtar Howell, monk, meditation teacher and intuitive astrologer joins me for a chat about his childhood experiences with various spirit entities crossing his path. We discuss how it was for him to keep a foot in either world. ishtarhowell.substack.com youtube.com/ishtarishaya Ishtar's workshop dates for the Ascension Meditation course: June 21 and 22 2025, Stroud June 28 and 29 2025, Richmond, North Yorkshire https://www.ascension-meditation.com/ Reach Ishtar for intuitive and astrological readings www.awakenedlightastrology.com Joining Patreon: Please do not join via the Apple app which takes a third of creators membership fees! Please join directly instead via your browser at Patreon: ⁠⁠⁠https://www.patreon.com/themodernfairysightingspodcast/membership⁠⁠ 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/membership If you are looking for exclusive bonus material, monthly zoom chats with like-minded folks, access to the Discord chat channels and joining in-person events with other members, please go to: https://www.patreon.com/themodernfairysightingspodcast/membership 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

Follow me @samirkaji for my thoughts on the venture market, with a focus on the continued evolution of the VC landscape.In this episode, I sat down with Logan Bartlett, Managing Director of Redpoint Ventures. We explore the evolving landscape of venture capital and startup investing and dive deep into the challenges facing unicorn companies post-2021, the transformative potential of AI, and the critical factors for successful startup investments. Logan shares insights on identifying promising founders, navigating market uncertainties, and the importance of adaptability in both founding teams and venture capital. Key takeaways include the need for founders with rapid learning capabilities, the potential disruption and opportunities in AI, the changing dynamics of startup valuations and exits in a challenging market environment, and so much more.About Logan BartlettLogan Bartlett is a Managing Director at Redpoint Ventures, where he leads early-growth investments in enterprise software, with a focus on infrastructure, SaaS, and AI. Since joining Redpoint in 2020 after six years at Battery Ventures, Bartlett has backed high-growth companies such as Ramp, Cribl, Cyera, Monte Carlo, FloQast, Crossbeam, and Workato. His work has earned him recognition on both the Forbes 30 Under 30 and the Midas Brink lists.Beyond investing, Bartlett hosts The Logan Bartlett Show, a podcast featuring in-depth conversations with top founders, operators, and investors. The show offers insights into startup growth, market cycles, and venture capital strategies, and has become a respected resource within the tech ecosystem.Redpoint Ventures, founded in 1999, is a venture capital firm that partners with visionary founders to create and redefine markets. The firm invests in startups across various stages, from seed to growth, and has backed over 578 companies, including industry giants like Snowflake, Looker, Kustomer, Twilio, and Netflix. With 181 IPOs and M&A exits and managing $7.2 billion across multiple funds, Redpoint's expertise in guiding businesses toward success is well-established.Timestamps:In this episode, we discuss:* Logan Bartlett's Path into Venture Capital (1:46)* The 2021 Unicorn Logjam and Future Outlook (4:38)* AI's Role in Reshaping Legacy Companies (8:32)* Liquidity Challenges and Growth Stage Investing (11:16)* Portfolio Construction and Risk Balance (17:16)* Underwriting Series B Investments (22:41)* Portfolio Composition and Risk Appetite (26:36)* Evaluating AI Companies and Revenue Durability (30:01)* Forecasting and Macro Underwriting (35:32)* Key Investment Decision Criteria (40:11)* Traits of Successful Venture Investors (45:28)* Final Thoughts and Takeaways (49:58)I'd love to know what you took away from this conversation with Logan. Follow me @SamirKaji and give me your insights and questions with the hashtag #ventureunlocked. If you'd like to be considered as a guest or have someone you'd like to hear from (GP or LP), drop me a direct message on X. This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit ventureunlocked.substack.com

SaaStr 807: Snowflake's CEO on the AI Data Cloud, Partner Strategy, and What's Next Join Sridhar Ramaswamy, CEO of Snowflake, and Jeremy Burton, CEO of Observe, in a comprehensive discussion led by SaaStr CEO & Founder, Jason Lemkin. Discover the inner workings of Snowflake's Board, the dynamics of strategic partnerships, and the evolving role of AI in data management. Learn how Snowflake aims to be the AI Data Cloud and how Observe integrates with Snowflake to provide scalable analytics. With detailed insights into the partnership strategies, future technological trends, and success stories, this conversation offers a blueprint for leveraging AI and data to drive business value. Don't miss out on the valuable lessons and future predictions shared by these industry leaders. ----------------- This episode of the SaaStr podcast is sponsored by: Attio This episode is brought to you by Attio — the AI-native CRM. Connect your email, and Attio instantly builds a powerful CRM - with every company, contact and interaction you've ever had. Get 15% off your first year at https://attio.com/saastr  ------------------ This episode of the SaaStr podcast is sponsored by: Attention.com Tired of listening to hours of sales calls? Recording is yesterday's game. Attention.com unleashes an army of AI sales agents that auto-update your CRM, build custom sales decks, spot cross-sell signals, and score calls before your coffee's cold. Teams like BambooHR and Scale AI already automate their Sales and RevOps using customer conversations. Step into the future at attention.com/saastr ------------------ Hey everyone, we just hosted 10,000 of you at the SaaStr Annual in the SF Bay Area, and now get ready, because SaaStr AI is heading to London! On December 2nd and 3rd, we're bringing SaaStr AI to the heart of Europe. This is your chance to connect with 2,500+ SaaS and AI executives, founders, and investors, all sharing the secrets to scaling in the age of AI. Whether you're a founder, a revenue leader, or an investor, SaaStr AI in London is where the future of SaaS meets the power of AI. And we just announced tickets and sponsorships, so don't wait! Head to SaaStrLondon.com to grab yours and join us this December in London. SaaStr AI in London —where SaaS meets AI, and the next wave of innovation begins. See you there!  

Welcome to episode 308 of The Cloud Pod – where the forecast is always cloudy! Justin, Matt and Ryan are in the house today to tell us all about the latest and greatest from FinOps and SnowFlake conferences, plus updates from Security Command Center, OpenAI, and even a new AWS Region. All this and more, today in the cloud!  Titles we almost went with this week: I Left My Wallet at FinOps X, But Found Savings at Snowflake Summit Snowflake City Lights, FinOps by the Sea The Two Summits: A Tale of FinOps and Snowflakes Crunchy on the Outside, Snowflake on the Inside  AWS Taipei: Because Sometimes You Need Your Data Closer Than Your Night Market  AWS Plants Its Flag in Taipei: The 37th Time’s the Charm AWS Slashes GPU Prices Faster Than a CUDA Kernel Two Writers Walk Into a Database… And Both Succeed AWS Network Firewall: Now With Windows! The VPN Connection That Keeps Its Secrets Transform and Roll Out: Pub/Sub’s New Single Message Feature SAP Happens: Google’s New M4 VMs Handle It Better Total Recall: Google’s 6TB Memory Machines The M4trix Has You (And Your In-Memory Databases) DeepSeek and You Shall Find… on Google Cloud Four Score and Seven Vulnerabilities Ago – mk The Fantastic Four Security Features MCP: Model Context Protocol or Master Control Program from Tron? No SQL? No Problem! AI Takes the Wheel Injection Rejection: How Azure Keeps Your Prompts Clean General News  05:09 FinOps X 2025 Cloud Announcements: AI Agents  and Increased FOCUS Support All major cloud providers announced expanded support for FOCUS (FinOps Open Cost and Usage Specification) 1.0, with AWS already in general availability and Google Cloud launching a BigQuery export in private preview.  This signals an industry-wide standardization of cloud cost reporting formats. AWS introduced AI-powered cost optimization through Amazon Q Developer integration with Cost Optimization Hub, enabling automated recommendations across millions of resources with detailed explanations and action plans for cost reduction. Microsoft Azure launched AI agents for application modernization that can reduce migration efforts from months to hours by automating code assessment and remediation across thousands of files, while also introducing flexible PTU reservations that work across multiple AI models. Google Cloud unveiled FinOps Hub 2.0 with Gemini-powered waste detection that identifies underutilized resources (like VMs at 5% usage) and provides AI-generated optimization recommendations for Kubernetes, Cloud Run, and Cloud SQL services. Oracle Cloud Infrastructure added carbon emissio

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

Conspiracies and cameras hidden in the front yard Snowflake makes an appearance on News Radio KKOBSee omnystudio.com/listener for privacy information.

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

Snowflake has to get in there and Joke' Rodeo on News Radio KKOBSee omnystudio.com/listener for privacy information.

Plus, Germany's antitrust regulator flags Amazon's pricing mechanism. And the fight for AI agent customers heats up as cloud-based data-warehousing company Snowflake agrees to buy database startup Crunchy Data. Julie Chang hosts. Learn more about your ad choices. Visit megaphone.fm/adchoices