Podcasts about snowflakes

325 | Lashay Lewis helps B2B SaaS companies create profit driven content strategies. We talk about why a B2B content strategy should be built from the bottom of the funnel up, why she interviews sales teams to understand "life before using the product" and why she interviews customer success teams to understand "life after using the product" and how that influences content strategy, how writing influences buyers, the power of a strong company POV, training in-house writers and freelancers in a way that scales, where podcasting fits in a B2B content strategy, why search volume can be misleading, and thoughts on how content marketers can use AI. Join 50,0000 people who get Dave's Newsletter here: https://www.exitfive.com/newsletterLearn more about Exit Five's private marketing community: https://www.exitfive.com/***Brought to you by:Optimizely - A no-code AI platform where autonomous agents execute marketing work across webpages, email, SEO, and campaigns. Get a free, personalized 45-minute AI workshop to help you identify the best AI use cases for your marketing team and map out where agents can save you time at optimizely.com/exitfive. AirOps - The content engineering platform that helps marketers create and maintain high-quality, on-brand content that wins AI search. Go to airops.com/exitfive to start creating content that reflects your expertise, stays true to your brand, and is engineered for performance across human and AI discovery.Visit exitfive.com/retreat to apply for Exit Five's first-ever, in-person Marketing Leadership Retreat, March 18–20, 2026 in Scottsdale, Arizona. Join 100 CMOs and VPs of Marketing from companies like like Zoom, Snowflake, Manychat, Bitly, G2, HP, and more for two days of thinking bigger around a trusted group of peers in marketing. ***Thanks to my friends at hatch.fm for producing this episode and handling all of the Exit Five podcast production.They give you unlimited podcast editing and strategy for your B2B podcast.Get unlimited podcast editing and on-demand strategy for one low monthly cost. Just upload your episode, and they take care of the rest.Visit hatch.fm to learn more

A CMO Confidential Interview with Rob Ward, co-founder and General Partner of Meritech Capital, a top Silicon Valley venture firm. Rob shares his take on what he calls a "super terrifying and exciting time" and provides perspective on AI receiving the most capital of any technology in history, the "durability of revenue" and how quickly start-ups are now reaching $100 million in revenue. Key topics include: why VC's focus on growth vs. profitability; the risks associated with massive long-term capital investment; why marketers should pick a "trusted advisor" as their AI partner; and why your data strategy needs "context. Tune in to hear how Astronomer handled the "Coldplay Concert Incident" which immediately became a PR classic and the "VC Foie Gras Effect."What happens when a top venture capitalist pulls back the curtain on AI, valuations, hype cycles, and what's actually working?In this episode of CMO Confidential, host Mike Linton sits down with Rob Ward, Co-Founder and General Partner at Metech Capital, to unpack the realities behind the AI boom. Rob has spent more than 26 years investing in category-defining companies like Facebook (Meta), Snowflake, NetSuite, Zipcar, and Cloudera — and he brings a rare, grounded perspective to today's AI frenzy.Together, they explore: • Why AI adoption is still early — despite explosive growth • The real risks behind inflated valuations and “AI-washing” • How VC decision-making changes during platform shifts • What marketers and executives should actually look for when choosing AI partners • Why data strategy, change management, and trust matter more than tools • What layoffs, productivity, and the future of work really look like beneath the headlines • A masterclass in crisis communications, featuring Ryan Reynolds, Gwyneth Paltrow, and ColdplayIf you're a CMO, CEO, board member, founder, or agency leader trying to make sense of AI without getting swept up in the hype — this is a must-listen conversation.New episodes of CMO Confidential drop every Tuesday.Subscribe for insider perspectives on the most misunderstood role in the C-suite.⸻Chapter Markers00:00 – Welcome to CMO Confidential00:19 – Introducing Rob Ward and today's AI conversation01:13 – Where we really are in AI adoption02:26 – Explosive AI growth: what's real vs hype03:35 – Why enterprise AI adoption is still a slog04:37 – Vendor spend, hyperscalers, and the trillion-dollar buildout06:12 – Is this an AI bubble? Public vs private market realities07:20 – Accelerating investment rounds and lack of diligence08:12 – AI-washing and durability of AI businesses09:46 – Proof-of-concepts, switching costs, and fragile loyalty10:55 – Big Tech vs startups: why this cycle is different11:40 – Why VCs chase platform shifts despite the risks13:05 – How AI is changing profitability and headcount math16:11 – “FOGRA” investing and capital distortion17:00 – Circular investing and data-center risk18:23 – Data centers, GPUs, and betting on the wrong future19:38 – Credit default swaps and financial warning signs21:45 – How executives should choose AI vendors22:58 – Change management and why culture matters most24:09 – Why data strategy is the real AI strategy26:36 – “Frequently wrong, never in doubt” and AI hallucinations27:01 – Practical AI use cases for marketers30:00 – Layoffs, productivity, and what's really happening to jobs33:05 – The best questions to spot real AI fluency35:00 – AI safety, geopolitics, and long-term risks36:38 – Crisis management masterclass: Astronomer, Coldplay & Ryan Reynolds39:58 – Final advice and closing thoughts⸻Comma-Separated TagsCMO Confidential, AI strategy, artificial intelligence, venture capital, Rob Ward, Metech Capital, AI adoption, AI hype, AI bubble, enterprise AI, generative AI, AI in marketing, CMO leadership, marketing leadership, venture investing, AI vendors, data strategy, change management, AI readiness, tech valuations, AI infrastructure, data centers, future of work, AI layoffs, crisis communications, brand crisis management, Ryan Reynolds marketing, Gwyneth Paltrow Astronomer, Coldplay controversy, Silicon Valley, marketing podcast, C-suite leadershipSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

#324 | Dave is joined by three marketing leaders from different industries to talk on a live session about AI and SEO and what they've learned over the last year. Dave Steer (CMO at Webflow), Marcy Comer (CMO at EagleView) and Clare Schmitt (VP, Marketing & Communications at Piedmont Global) break down how buyers are learning about products through ChatGPT and why traditional SEO fundamentals still matter. The group shares real examples of how they're approaching content, prompt tracking, PR, and brand authority, plus advice for marketers on where to focus, what to ignore, and how to guide their teams through this search shift.Timestamps(01:06) - Why AI + SEO is the hottest (and most confusing) topic in B2B marketing right now (05:37) - Meet the panel: marketing leaders from Webflow, EagleView, and Piedmont Global (09:15) - How AI search is changing buyer behavior vs traditional Google search (12:58) - EagleView's real approach to AI search, greenfield opportunities, and prompt tracking (16:05) - What “black hat” vs “white hat” tactics look like in AI-driven search (20:12) - Webflow's take: integrated marketing, generosity, and building useful tools (29:33) - Getting past high-level advice and into real execution (34:33) - “Circle the buyer”: how content builds demand before buyers are in-market (38:16) - Why PR is back: long-form press, citations, and brand credibility in AI search (45:16) - What to do if you're a startup with no budget: focus on positioning first Join 50,0000 people who get Dave's Newsletter here: https://www.exitfive.com/newsletterLearn more about Exit Five's private marketing community: https://www.exitfive.com/***Brought to you by:Optimizely - A no-code AI platform where autonomous agents execute marketing work across webpages, email, SEO, and campaigns. Get a free, personalized 45-minute AI workshop to help you identify the best AI use cases for your marketing team and map out where agents can save you time at optimizely.com/exitfive. AirOps - The content engineering platform that helps marketers create and maintain high-quality, on-brand content that wins AI search. Go to airops.com/exitfive to start creating content that reflects your expertise, stays true to your brand, and is engineered for performance across human and AI discovery.Visit exitfive.com/retreat to apply for Exit Five's first-ever, in-person Marketing Leadership Retreat, March 18–20, 2026 in Scottsdale, Arizona. Join 100 CMOs and VPs of Marketing from companies like like Zoom, Snowflake, Manychat, Bitly, G2, HP, and more for two days of thinking bigger around a trusted group of peers in marketing. ***Thanks to my friends at hatch.fm for producing this episode and handling all of the Exit Five podcast production.They give you unlimited podcast editing and strategy for your B2B podcast.Get unlimited podcast editing and on-demand strategy for one low monthly cost. Just upload your episode, and they take care of the rest.Visit hatch.fm to learn more

We're diving into the latest in the auto world, bringing you essential car news and practical car tips. Whether you're navigating car sales or seeking car advice, our experts answer your car questions answered. Tune in to learn how to buy a car smart! Join us on the Jeep Talk Show for an epic conversation with Derek "Diesel" Meyer – lifelong Jeep fanatic, co-founder of the legendary Silver Lake Sand Dunes Jeep Invasion, and General Manager at Graff Chrysler Dodge Jeep Ram in Rockford, Michigan! In this fun, no-holds-barred interview, Diesel dives deep into: - The Jeep wave debate: Do you wave at Gladiators, XJs, or even 392s with those gold tow hooks?

In der heutigen Folge sprechen die Finanzjournalisten Lea Oetjen und Holger Zschäpitz über Shutdown-Alarm in den USA, neue Zolldrohungen gegen Kanada und was sonst noch wichtig wird in dieser Woche. Außerdem geht es um Intel, Amazon, Volkswagen, ASML, SAP, Apple, Microsoft, Meta, Tesla, Ryanair, Stabilus, Steel Dynamics, Nucor, Ferrovial, Thales, Vinci, Eiffage, Fraport, Accenture, Wipro, Tata Consultancy, C3.ai, Palantir, Standard Chartered, Fujitsu, Cloudflare, CrowdStrike, Dell, Pinterest, Cognizant, Uber, Nasdaq, Qualcomm, Snowflake, Bank of America, Citi, IBM, Cisco, Krka, Ignitis, Shell, BP, HSBC, Diageo, Reckitt Benckiser, Rio Tinto, Imperial Brands, Sage Group, Unilever, Aviva, Phoenix Group, Legal & General, Vale, OPAP, National Bank of Greece, DBS Group, Oversea Chinese Banking Corporation, Singapore Exchange, Jardine Matheson, Invesco, Tokio Marine, CK Infrastructure, EUWAX Gold II (WKN: EWG2LD), VanEck Defense ETF (WKN: A3D9M1), iShares MSCI Canada ETF (WKN: A0YEDS), Xtrackers Euro Stoxx 50 ETF (WKN: DBX1ET), Amundi Stoxx Europe 600 ETF (WKN: LYX0Q0), Global X European Infrastructure Development ETF (WKN: A40E7B), SPDR MSCI Europe Industrials ETF (WKN: A1191T), iShares MSCI Saudi Arabia Capped ETF (WKN: A14ZV2) und Xtrackers MSCI EM Europe, Middle East & Africa ETF (WKN: DBX1EA). https://www.businessinsider.de/informationen/newsletter/alles-auf-aktien/ Wir freuen uns an Feedback über aaa@welt.de. Noch mehr "Alles auf Aktien" findet Ihr bei WELTplus und Apple Podcasts – inklusive aller Artikel der Hosts und AAA-Newsletter. Hier bei WELT: https://www.welt.de/podcasts/alles-auf-aktien/plus247399208/Boersen-Podcast-AAA-Bonus-Folgen-Jede-Woche-noch-mehr-Antworten-auf-Eure-Boersen-Fragen.html. Der Börsen-Podcast Disclaimer: Die im Podcast besprochenen Aktien und Fonds stellen keine spezifischen Kauf- oder Anlage-Empfehlungen dar. Die Moderatoren und der Verlag haften nicht für etwaige Verluste, die aufgrund der Umsetzung der Gedanken oder Ideen entstehen. Hörtipps: Für alle, die noch mehr wissen wollen: Holger Zschäpitz können Sie jede Woche im Finanz- und Wirtschaftspodcast "Deffner&Zschäpitz" hören. +++ Werbung +++ Du möchtest mehr über unsere Werbepartner erfahren? Hier findest du alle Infos & Rabatte! https://linktr.ee/alles_auf_aktien Impressum: https://www.welt.de/services/article7893735/Impressum.html Datenschutz: https://www.welt.de/services/article157550705/Datenschutzerklaerung-WELT-DIGITAL.html

Tristan talks with Russell Spitzer, a PMC member of Apache Iceberg and principal engineer at Snowflake, about the evolution of open table formats and the catalog layer. They dig into identity and access at the catalog layer and why consensus‑driven standards make interoperability possible. For full show notes and to read 6+ years of back issues of the podcast's companion newsletter, head to https://roundup.getdbt.com. The Analytics Engineering Podcast is sponsored by dbt Labs.

Storm commin' in this weekend... what are you going to do while you wait it out? 

Hosts Spencer Neuharth, Janis Putelis, and Seth Morris speak with Sue Richardson about her great-great uncle, Wilson "Snowflake" Bentley, and his groundbreaking nature photography, talk some gear, share Top 3s, and chat with Peace River K9 Search and Rescue's Michael Hadsell about the world's only search-and-rescue otter, Splash. Watch the live stream on the MeatEater Podcast Network YouTube channel. Subscribe to The MeatEater Podcast Network MeatEater on Instagram, Facebook, Twitter, and YouTubeSee omnystudio.com/listener for privacy information.

In this episode of the Crazy Wisdom podcast, host Stewart Alsop welcomes Roni Burd, a data and AI executive with extensive experience at Amazon and Microsoft, for a deep dive into the evolving landscape of data management and artificial intelligence in enterprise environments. Their conversation explores the longstanding challenges organizations face with knowledge management and data architecture, from the traditional bronze-silver-gold data processing pipeline to how AI agents are revolutionizing how people interact with organizational data without needing SQL or Python expertise. Burd shares insights on the economics of AI implementation at scale, the debate between one-size-fits-all models versus specialized fine-tuned solutions, and the technical constraints that prevent companies like Apple from upgrading services like Siri to modern LLM capabilities, while discussing the future of inference optimization and the hundreds-of-millions-of-dollars cost barrier that makes architectural experimentation in AI uniquely expensive compared to other industries.Timestamps00:00 Introduction to Data and AI Challenges03:08 The Evolution of Data Management05:54 Understanding Data Quality and Metadata08:57 The Role of AI in Data Cleaning11:50 Knowledge Management in Large Organizations14:55 The Future of AI and LLMs17:59 Economics of AI Implementation29:14 The Importance of LLMs for Major Tech Companies32:00 Open Source: Opportunities and Challenges35:19 The Future of AI Inference and Hardware43:24 Optimizing Inference: The Next Frontier49:23 The Commercial Viability of AI ModelsKey Insights1. Data Architecture Evolution: The industry has evolved through bronze-silver-gold data layers, where bronze is raw data, silver is cleaned/processed data, and gold is business-ready datasets. However, this creates bottlenecks as stakeholders lose access to original data during the cleaning process, making metadata and data cataloging increasingly critical for organizations.2. AI Democratizing Data Access: LLMs are breaking down technical barriers by allowing business users to query data in plain English without needing SQL, Python, or dashboarding skills. This represents a fundamental shift from requiring intermediaries to direct stakeholder access, though the full implications remain speculative.3. Economics Drive AI Architecture Decisions: Token costs and latency requirements are major factors determining AI implementation. Companies like Meta likely need their own models because paying per-token for billions of social media interactions would be economically unfeasible, driving the need for self-hosted solutions.4. One Model Won't Rule Them All: Despite initial hopes for universal models, the reality points toward specialized models for different use cases. This is driven by economics (smaller models for simple tasks), performance requirements (millisecond response times), and industry-specific needs (medical, military terminology).5. Inference is the Commercial Battleground: The majority of commercial AI value lies in inference rather than training. Current GPUs, while specialized for graphics and matrix operations, may still be too general for optimal inference performance, creating opportunities for even more specialized hardware.6. Open Source vs Open Weights Distinction: True open source in AI means access to architecture for debugging and modification, while "open weights" enables fine-tuning and customization. This distinction is crucial for enterprise adoption, as open weights provide the flexibility companies need without starting from scratch.7. Architecture Innovation Faces Expensive Testing Loops: Unlike database optimization where query plans can be easily modified, testing new AI architectures requires expensive retraining cycles costing hundreds of millions of dollars. This creates a potential innovation bottleneck, similar to aerospace industries where testing new designs is prohibitively expensive.

#323 | Anthony Pierri from Fletch PMM joins Dave to talk about what actually matters in B2B positioning and messaging. They break down how to think about value props, why buyers don't care about your features, and what makes a homepage instantly click. Anthony shares lessons on positioning from working with hundreds of early-stage B2B SaaS companies and explains how to connect real customer problems to clear outcomes. Join 50,0000 people who get Dave's Newsletter here: https://www.exitfive.com/newsletterLearn more about Exit Five's private marketing community: https://www.exitfive.com/***Brought to you by:Optimizely - A no-code AI platform where autonomous agents execute marketing work across webpages, email, SEO, and campaigns. Get a free, personalized 45-minute AI workshop to help you identify the best AI use cases for your marketing team and map out where agents can save you time at optimizely.com/exitfive. AirOps - The content engineering platform that helps marketers create and maintain high-quality, on-brand content that wins AI search. Go to airops.com/exitfive to start creating content that reflects your expertise, stays true to your brand, and is engineered for performance across human and AI discovery.Visit exitfive.com/retreat to apply for Exit Five's first-ever, in-person Marketing Leadership Retreat, March 18–20, 2026 in Scottsdale, Arizona. Join 100 CMOs and VPs of Marketing from companies like like Zoom, Snowflake, Manychat, Bitly, G2, HP, and more for two days of thinking bigger around a trusted group of peers in marketing. ***Thanks to my friends at hatch.fm for producing this episode and handling all of the Exit Five podcast production.They give you unlimited podcast editing and strategy for your B2B podcast.Get unlimited podcast editing and on-demand strategy for one low monthly cost. Just upload your episode, and they take care of the rest.Visit hatch.fm to learn more

David Li is the CTO at Washington University Investment Management Company, where he's led a lean, data‑driven build of the endowment's tech stack. David's path runs from Harvard Management Company to independent consulting to WashU, bringing a builder's mindset to the role.For those not familiar with WashU's concentrated, co-invest heavy approach, Ted sat down with CIO Scott Wilson a while back, and that conversation is replayed in the feed.David shares how a modular architecture with Snowflake at the center gives his team cleaner data, faster changes, and less technical debt; and how clear governance and practical security can make for efficient workflows.We also get into AI adoption in the endowment world - where to use “walled gardens,” and how to spot tools that look great in demos but fall down on data quality. For emerging and seasoned institutions, David shares concrete advice on buy‑versus‑build, vendor selection, and running pilots that surface issues early, plus how to set expectations and give business owners real responsibility so technology actually matches how investors see their portfolios.Learn More Follow Capital Allocators at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@tseides⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ or ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠LinkedIn⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Subscribe to the ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠mailing list⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Access transcript with ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Premium Membership⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Editing and post-production work for this episode was provided by The Podcast Consultant (⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://thepodcastconsultant.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠)

#322 | Louis Grenier joins Dave for a conversation about what it actually takes to stand out in B2B marketing when everything feels the same. Louis sent Dave 10 surprise gifts to open during the show, and each one sparks a conversation about marketing, career, and life. They talk about the reality of how people decide to buy and why Louis is so focused on timeless fundamentals.Timestamps(00:00) - — Timeless marketing vs the AI hype (05:24) - — The colonoscopy story. (12:44) - — Trojan Horse marketing. Get attention first. Sell later. Stop leading with your product. (17:44) - — Why you can't create demand, only redirect it. (23:24) - — Category creation vs sub-categories. Most startups get this wrong. (26:14) - — Meaning-free brand assets. Why weird mascots and visuals actually work. (33:18) - — How to sell bold ideas internally without asking for permission. (37:08) - — Ads that look like ads fail. Attention is the job. (45:48) - — Triggers vs pain points. How people actually decide to buy. (51:08) - — First principles, repetition, history, and why this stuff still works no matter the tech wave. Join 50,0000 people who get Dave's Newsletter here: https://www.exitfive.com/newsletterLearn more about Exit Five's private marketing community: https://www.exitfive.com/***Brought to you by:Optimizely - A no-code AI platform where autonomous agents execute marketing work across webpages, email, SEO, and campaigns. Get a free, personalized 45-minute AI workshop to help you identify the best AI use cases for your marketing team and map out where agents can save you time at optimizely.com/exitfive. AirOps - The content engineering platform that helps marketers create and maintain high-quality, on-brand content that wins AI search. Go to airops.com/exitfive to start creating content that reflects your expertise, stays true to your brand, and is engineered for performance across human and AI discovery.Visit exitfive.com/retreat to apply for Exit Five's first-ever, in-person Marketing Leadership Retreat, March 18–20, 2026 in Scottsdale, Arizona. Join 100 CMOs and VPs of Marketing from companies like like Zoom, Snowflake, Manychat, Bitly, G2, HP, and more for two days of thinking bigger around a trusted group of peers in marketing. ***Thanks to my friends at hatch.fm for producing this episode and handling all of the Exit Five podcast production.They give you unlimited podcast editing and strategy for your B2B podcast.Get unlimited podcast editing and on-demand strategy for one low monthly cost. Just upload your episode, and they take care of the rest.Visit hatch.fm to learn more

Faun discusses a transformative experience under an elder tree at a crossroads, experiencing The Hat Man as a teenager and a childhood memory of a transparent young girl . Faun came on pilgrimage to Britain and met some of us at the MFSP patreon community meet up in Glastonbury. They had many synchronicities and profound experiences during their journey: an archetypal-looking pilgrim who kept appearing and a person whom appeared to be channelling Dionysus on Glastonbury Tor. In the BONUS EXCLUSIVE FULL-LENGTH VIDEO VERSION on Patreon we hear about the powerful qualities of Elder and Faun shares a further experience with Orbs and a malevolent manifestation which took place in her mothers bedroom. Music in this episode: Fae Transit by Sam McLoughlin https://folkloretapes.bandcamp.com/album/fae-transit ⭐️ JOIN THE MODERN FAIRY SIGHTINGS COMMUNITY ⭐️ ⁠⁠⁠https://www.patreon.com/c/themodernfairysightingspodcast/membership⁠⁠⁠ If you're looking for exclusive bonus material, monthly zoom chats with like-minded folks, access to the Discord chat channels, quiet meditation gatherings and meeting other members, join us at: ⁠⁠⁠ https://www.patreon.com/c/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

Fellas, is is gay to gaze lovingly into your friends' eyes? We're talking about the discourse surrounding the press tour for Wicked For Good, but really we're talking about how we should just let things be gay. We also talk about the movie, so spoiler alert in the second half of the episode.You can find the video about the queer conventions of Wicked here: https://www.instagram.com/reel/DRC4uCZjuo8/?igsh=NTc4MTIwNjQ2YQ%3D%3D You can find the video of Arianna and Cynthia affirming that Oz is a queer place here: https://www.instagram.com/reel/DK7U-_9uFvE/?igsh=NTc4MTIwNjQ2YQ%3D%3D We also wanted to share some resources for protecting your communities from ICE:You can learn more or get involved with Órale (local to Long Beach, CA) here: https://www.orale.org/Immigrant Defense Project has toolkits for defending against ICE raids and community arrests: https://www.immigrantdefenseproject.org/raids-toolkit/

#321 | Jess Cook, VP of Marketing at Vector, joins Dave to break down what's actually working in early-stage B2B marketing. They dig into how she thinks about attribution for brand channels, how Vector's podcast became a top marketing channel, why they created a brand mascot, and details on what content strategy is working on LinkedIn right now. They also cover shift from content leader to VP of Marketing and how to drive demand without a massive team or budget.Timestamps(03:06) - — Meet Jess Cook & What is Vector? (07:39) - — B2B Influencer pilot setup: why this channel, why now (14:57) - — The result: 45 demos, ~$1.1M pipeline, and how she tracked it (16:55) - — How to run influencers (22:20) - — Scaling idea: retainer-style influencer partnerships (26:00) - — Vector's podcast: “awareness magnet” and the format that works (28:24) - — The production system: in-person batch recording a full season in 2 days (42:10) - — Jess's LinkedIn strategy: why she started posting and what she optimizes for (53:58) - — Content → VP shift: the two muscles she's building (metrics + leadership) Join 50,0000 people who get Dave's Newsletter here: https://www.exitfive.com/newsletterLearn more about Exit Five's private marketing community: https://www.exitfive.com/***Brought to you by:Optimizely - A no-code AI platform where autonomous agents execute marketing work across webpages, email, SEO, and campaigns. Get a free, personalized 45-minute AI workshop to help you identify the best AI use cases for your marketing team and map out where agents can save you time at optimizely.com/exitfive. AirOps - The content engineering platform that helps marketers create and maintain high-quality, on-brand content that wins AI search. Go to airops.com/exitfive to start creating content that reflects your expertise, stays true to your brand, and is engineered for performance across human and AI discovery.Visit exitfive.com/retreat to apply for Exit Five's first-ever, in-person Marketing Leadership Retreat, March 18–20, 2026 in Scottsdale, Arizona. Join 100 CMOs and VPs of Marketing from companies like like Zoom, Snowflake, Manychat, Bitly, G2, HP, and more for two days of thinking bigger around a trusted group of peers in marketing. ***Thanks to my friends at hatch.fm for producing this episode and handling all of the Exit Five podcast production.They give you unlimited podcast editing and strategy for your B2B podcast.Get unlimited podcast editing and on-demand strategy for one low monthly cost. Just upload your episode, and they take care of the rest.Visit hatch.fm to learn more

In this season premiere of The Data Chief podcast, host Cindi Howson sits down with three industry leaders to unpack what's next for AI, and the concrete moves data and AI leaders need to make in 2026—many of which are detailed in ThoughtSpot's Top Data & AI Trends of 2026 ebook.Get ready for a deep dive into:Agentic AI goes mainstream with Paul Baier, CEO and Co-Founder of GAI InsightsAI-ready data and the rise of the AI manager with Jennifer Belissent, Principal Data Strategist at SnowflakeScaling agents with trust and control with Rory Blundell, CEO of GraviteeConsider this your field guide to navigating AI in 2026.Key Moments:Agentic AI Goes Mainstream with Paul Baier, GAI Insights (1:50): Paul Baier, CEO and Co-Founder of GAI Insights, explains why enterprises that already have GenAI in production are pulling decisively ahead, how agentic AI is reshaping enterprise operating models, and why leadership alignment and AI literacy will determine winners in 2026.AI-Ready Data and the Rise of the AI Manager, Jennifer Belissent, Snowflake (19:16): Dr. Jennifer Belissent, Principal Data Strategist at Snowflake, breaks down why data quality, transparency, and governance remain the foundation of AI success, and why the next critical enterprise skill is learning how to manage AI agents as part of the workforce.Scaling Agents with Trust and Control with Rory Blundell, Gravitee (35:11): Rory Blundell, CEO of Gravitee, shares how the agentic era is redefining API integration, why most enterprises are stuck at early AI maturity stages, and how agent management and security frameworks will unlock real action in 2026.Key Quotes:“Yo u have to treat AI as a capability and not an IT project.” - Paul Baier“ Transparency as a requirement is not slowing down adoption. It's actually accelerating it.” - Jennifer Belissent“My prediction is that companies that adopt robust security frameworks in 2026 will be the companies that accelerate fastest.” - Rory Blundell MentionsGAI Insights' Corporate Buyers Guide to Enterprise Intelligence ApplicationsHarvard Business Review: GAI Insights' WINS FrameworkGravitee's AI Readiness CurveThoughtSpot's Top Data & AI Trends of 2026 ebookGuest Bios Paul BaierMr. Baier is the CEO and principal analyst at GAI Insights. Mr Baier co-authored 4 articles about enterprise GenAI that were featured in Harvard Business Review and MIT Sloan Management Review. He was appointed an Executive Fellow at Harvard Business School and is a Forbes contributor. He is a seasoned software entrepreneur with two decades of experience and multiple exits. Related to AI, he was VP of Product at First Fuel Software, an enterprise AI company for 5 years. He holds an MBA from Harvard and a BA from Kenyon College.Jennifer BelissentAs Principal Data Strategist, Jennifer advises Snowflake customers on data and AI strategy and best practices in building world-class organizations. Previously, she spent over a decade as a Forrester Analyst, and has held management positions in tech sales and marketing, designed urban policy programs, taught secondary school math as a Peace Corps volunteer, and earned a Ph.D. in political science from Stanford University and a B.A. in econometrics from the University of Virginia.Rory BlundellRory Blundell is the CEO of Gravitee. He joined the company in March 2020, first as Chief Revenue Officer, before becoming CEO in September 2020. Prior to Gravitee, Blundell led SnapLogic's EMEA expansion from a technical sales perspective, overseeing significant growth in EMEA revenues over three years. Prior to SnapLogic, he was the CEO and founder of Velinko, a UK software and consultancy company for the legal and accounting sectors. Hear more from Cindi Howson here. Sponsored by ThoughtSpot.

Baris Gultekin, VP of AI at Snowflake, explains how “bringing AI to the data” is reshaping enterprise AI deployment under strict security and governance requirements. PSA for AI builders: Interested in alignment, governance, or AI safety? Learn more about the MATS Summer 2026 Fellowship and submit your name to be notified when applications open: https://matsprogram.org/s26-tcr. He shares the importance of bringing AI directly to governed enterprise data, advances in text-to-SQL and semantic modeling, and why high-quality retrieval is foundational for trustworthy AI agents. Baris also dives into Snowflake's approach to agentic AI, including Snowflake Intelligence, model choice and cost tradeoffs, and why governance, security, and open standards are essential as AI becomes accessible to every business user. LINKS: AWS' Automated Reasoning checks Sponsors: MongoDB: Tired of database limitations and architectures that break when you scale? MongoDB is the database built for developers, by developers—ACID compliant, enterprise-ready, and fluent in AI—so you can start building faster at https://mongodb.com/build Serval: Serval uses AI-powered automations to cut IT help desk tickets by more than 50%, freeing your team from repetitive tasks like password resets and onboarding. Book your free pilot and guarantee 50% help desk automation by week four at https://serval.com/cognitive MATS: MATS is a fully funded 12-week research program pairing rising talent with top mentors in AI alignment, interpretability, security, and governance. Apply for the next cohort at https://matsprogram.org/s26-tcr Tasklet: Tasklet is an AI agent that automates your work 24/7; just describe what you want in plain English and it gets the job done. Try it for free and use code COGREV for 50% off your first month at https://tasklet.ai CHAPTERS: (00:00) About the Episode (03:02) Snowflake 101 and AI (09:25) Text-to-SQL and semantics (19:10) RAG, embeddings and models (Part 1) (19:17) Sponsors: MongoDB | Serval (21:02) RAG, embeddings and models (Part 2) (32:23) Bringing models to data (Part 1) (32:29) Sponsors: MATS | Tasklet (35:29) Bringing models to data (Part 2) (51:14) Designing enterprise AI agents (58:35) Trust, governance and guardrails (01:07:14) Agents and future work (01:15:33) Platforms, competition and value (01:26:04) Enterprise models and outlook (01:40:00) Outro PRODUCED BY: https://aipodcast.ing

Fluent Fiction - Mandarin Chinese: The Snowflake Letters: Unveiling Artful Secrets in Beijing Find the full episode transcript, vocabulary words, and more:fluentfiction.com/zh/episode/2026-01-14-23-34-02-zh Story Transcript:Zh: 在北京的一个寒冷冬夜，飞舞的雪花轻轻飘落，覆盖着整个居民小区。En: On a cold winter night in Beijing, fluttering snowflakes gently fell, covering the entire residential community.Zh: 这个小区安静而祥和，四周围着高大的围墙，像是一个独立的小世界。En: This neighborhood was quiet and peaceful, surrounded by tall walls like a self-contained little world.Zh: 春节就要到了，家家户户都挂上了红色的灯笼和喜庆的饰品。En: With the Spring Festival approaching, every household hung up red lanterns and festive decorations.Zh: 此刻，小区的每个角落都充满了节日的气息。En: At this moment, every corner of the community was filled with a festive atmosphere.Zh: 然而，在这欢乐的氛围中，一件神秘的事情令小区居民们心生忐忑。En: However, amidst this joyful ambiance, a mysterious occurrence made the residents of the community feel uneasy.Zh: 每到夜深人静的时候，会有一封封神秘的信悄悄出现在家门口。En: Late at night, mysterious letters would quietly appear at the doorsteps.Zh: 这些信没有署名，却总是带来不一样的思考与感悟。En: These letters were unsigned, yet they always brought different thoughts and insights.Zh: 居民们纷纷猜测，这些信的背后会是怎样的人呢？En: The residents speculated about what kind of person could be behind these letters, and what their purpose might be.Zh: 而他们的目的又是什么？En: Ming was a middle-aged writer living in the neighborhood.Zh: 明，是小区里的一位中年作家。En: Recently, he had been struggling with writer's block, his words seemed frozen.Zh: 最近，他陷入了写作的困境，笔下的文字如同冻结了一般。En: He was somewhat anxious, hoping that this mystery could bring him inspiration and also prove his worth.Zh: 他略显焦躁，渴望这个谜团能给他带来灵感，同时也是为了证明自己的价值。En: Ming started thinking, deciding to stay alert and secretly observe by the window, hoping to find some clues.Zh: 明开始思索，他决定保持清醒，偷偷留在窗边观察，希望能找到蛛丝马迹。En: Late at night, Ming quietly watched by the window.Zh: 夜深时分，明静静守在窗前。En: The cold wind howled, the street was empty and silent.Zh: 寒风凛冽，街道空旷无声。En: Suddenly, in the faint light of a streetlamp, a small figure appeared.Zh: 忽然，影影绰绰中，一个小小的身影出现在路灯昏暗的光芒下。En: Ming's eyes lit up, and he decided to act.Zh: 明的眼睛一亮，他决定行动。En: He put on his coat and quietly followed the figure, finally discovering the answer at the edge of the community.Zh: 他穿上外套，敛声细步地跟随那身影，终于在小区的尽头发现了答案。En: It turned out the author of these mysterious letters was a small artist in the community named Xiao.Zh: 原来，这些神秘信件的作者是小区中一个名叫肖的小艺术家。En: He used this method to convey his thoughts and artistic inspiration, hoping to bring some beauty to everyone during this holiday.Zh: 他用这种方式传达自己的思考和艺术灵感，希望在这个节日里给大家带来一些美好。En: Ming was moved.Zh: 明心中一动，他突然明白，创作并不一定需要声名远扬，安静的贡献同样有其价值。En: He suddenly understood that creating doesn't always need widespread fame; quiet contributions have their own value.Zh: 他选择保守这个秘密，并帮助肖组织了一次艺术展示，让大家感受到这些作品的美。En: He chose to keep this secret and helped Xiao organize an art exhibition to let everyone feel the beauty of these works.Zh: 在这个特别的春节，小区中的人们互相分享着艺术所带来的欢乐与感动，邻里之间更增添了几分暖意。En: During this special Spring Festival, the people in the community shared the joy and emotion brought by art, and the warmth between neighbors grew.Zh: 明也从中获得了新的创作灵感，不再苦恼于那块“创作瓶颈”。En: Ming also gained new inspiration for his writing and was no longer troubled by the “creative block.” He realized that true value doesn't lie in widespread recognition, but in the heartfelt process of creation.Zh: 他意识到，真正的价值不在于广泛的认同，而在于用心创造的过程。En: The community, under the warm glow of the lights, regained its vitality.Zh: 小区在暖暖的灯光中重新焕发了活力，大家一起迎接着新年的到来，把对未来的期许写在夜空中。En: Everyone welcomed the arrival of the New Year together, writing their hopes for the future across the night sky.Zh: 雪花仍在飘着，但每个人的心中都感受到了一种温暖的平和。En: The snowflakes continued to fall, but a sense of warmth and peace filled every heart. Vocabulary Words:fluttering: 飞舞的snowflakes: 雪花residential: 居民quiet: 安静surrounded: 围着joyful: 欢乐的ambiance: 氛围mysterious: 神秘occurrence: 事情unsign: 没有署名speculated: 猜测purpose: 目的middle-aged: 中年struggling: 挣扎frozen: 冻结anxious: 焦躁inspiration: 灵感alert: 清醒observe: 观察clues: 蛛丝马迹howled: 凛冽streetlamp: 路灯figure: 身影convey: 传达artist: 艺术家exhibition: 展示contributions: 贡献vitality: 活力warmth: 温暖peace: 平和

Welcome to episode 338 of The Cloud Pod, where the forecast is always cloudy! Justin, Ryan, Matt, and Jonathan are in the studio today to bring you all the latest in cloud and AI news, including a bit of a buying spree (inlcuding whole power companies) Veo 3.1, Cowork, and more – today in the cloud!   Titles we almost went with this week Snowflake’s Ironic Timing: Buying Downtime Prevention Tool While Experiencing Downtime Flexera Buys ProsperOps and Chaos Genius, Promises Less Chaos and More Prosperity Flexera Goes Shopping: Two FinOps Acquisitions to Prosper and Reduce Chaos Token of Appreciation: Gemini CLI Now Tracks Every Penny of Your AI Spend Snowflake Buys Observe to Stop Its Own Services from Melting Down Google’s Veo 3.1 Goes Vertical: Finally Understanding How People Actually Hold Their Phones Alphabet’s New Power Move: Buying the Company That Literally Powers Data Centers Dashboard Confessional: Gemini CLI Gets Transparent About Its Usage Microsoft’s New Agent Works 24/7 and Never Asks for a Raise From Robot Vacuums That Climb Stairs to TVs You Can’t Feel: CES Gets Weird Agent Shopping: When Your AI Has Better Taste Than You Do The cloudpod hosts do not like any stories this week AWS took a nap on announcements this week Claude is my new co-worker Wake up, AWS, and give us some fun news The $200 Assistant: Is Cowork the End of Workplace Admins? Azure has more interesting announcements than AWS oh noooo If you can't beat them in AI, just acquire everyone Notebook LM turns the Data Tables on you AI Is Going Great – Or How ML Makes Money  01:11 Anthropic launches Cowork, a Claude Code-like for general computing – Ars Technica Anthropic launches Cowork, a new feature in the macOS Claude desktop app that extends Claude Code‘s agentic capabilities to general office work tasks.  Users can grant Claude access to specific folders and use plain language instructions to automate tasks like filling expense reports from receipt photos, writing reports from notes, or reorganizing files. Cowork lowers the technical barrier compared to Claude Code by making AI-assisted file operations accessible to non-developer knowledge workers, including marketers and office staff.  The feature was developed after Anthropic observed users already applying Claude Code to general knowledge work despite its developer-focused positioning. The tool provides similar functionality to what was possible through Model Context Protocol integrations, but offers a more streamlined interface with Claude Code-style usability improvements.  Users can submit new requests or modifications to ongoing tasks without waiting for the initial assignment to complete. Cowork represents a strategic expansion of Anthropic’s agentic AI approach beyond software development into broader productivity workflows.

Law & Order 25x09 "Snowflake" and Law & Order: Special Victims Unit 27x09 "Purity" crossover for a supersized episode. Uniting to discuss the #SVU x Mothership event are your hosts Felicia Michelle, Taylor Gates, and Yael Tygiel. *Join them LIVE on Monday, Jan 12th at 3pm PT/ 6p ET* RAINN Hotline 1-800-656-4673Join the "Thick Ass Fire Booty Bridesmaids" and get a "Justice for Snowball" t-shirt or "Slammin' Pair of Jeans" onesie (As well as other SVU inspired swag) from S-Re-View here: https://www.redbubble.com/people/ottees/shopIn the digital world, lack of a podcast about Law and Order SVU is considered especially heinous. On the internet, the dedicated people who discuss these unforgettable episodes are members of an elite squad known as the Law & Order: S-Re-View podcast! These are their stories. DUN DUN.Join the conversation LIVE every Sunday at 2p PT/ 5p ET, here on FANVERSATION.Follow Felicia Michelle on IG at https://instagram.com/itsFeliciaMichelleFollow Taylor Gates on https://twitter.com/Elphaba_Anne​​​​​​Follow Yael Tygiel on https://instagram.com/yaeltygiel​​​​​​​Previous SVU after-show recap discussions: https://www.youtube.com/playlist?list=PL-Bpw0GYygGPRv_A4CEyyOZlZNeCQ2Ih_S-Re-View is ONLY video SVU aftershow recap & review podcast

#320 | Matt Carnevale, Head of Community at Exit Five, joins Dave for a discussion about community building. They dive into a bunch of the lessons learned from building the Exit Five community over the last few years, including specific plays like onboarding, matchmaking, and moderation. If you're thinking about community building in 2026, this is a good primer; plus the guys give their opinion on what “community” actually means and whether you should build a private community like Exit Five or focus more broadly on community building.Timestamps(00:02) - – Matt's path from BDR to Head of Community at Exit Five (08:29) - – What “community” actually means (and what it definitely isn't) (13:14) - – Why most B2B communities fail before they ever get traction (17:54) - – Community vs. content: what gets people in vs. what makes them stay (22:29) - – Why Slack groups aren't a strategy (27:14) - – Treating community like a product, not a marketing channel (34:48) - – The role of trust, curation, and saying no to the wrong people (40:23) - – What community managers actually do behind the scenes (47:18) - – How in-person events changed the Exit Five community (53:28) - – The biggest lessons Matt's learned after two years building Exit Five Join 50,0000 people who get Dave's Newsletter here: https://www.exitfive.com/newsletterLearn more about Exit Five's private marketing community: https://www.exitfive.com/***Brought to you by:Optimizely - A no-code AI platform where autonomous agents execute marketing work across webpages, email, SEO, and campaigns. Get a free, personalized 45-minute AI workshop to help you identify the best AI use cases for your marketing team and map out where agents can save you time at optimizely.com/exitfive. AirOps - The content engineering platform that helps marketers create and maintain high-quality, on-brand content that wins AI search. Go to airops.com/exitfive to start creating content that reflects your expertise, stays true to your brand, and is engineered for performance across human and AI discovery.Visit exitfive.com/retreat to apply for Exit Five's first-ever, in-person Marketing Leadership Retreat, March 18–20, 2026 in Scottsdale, Arizona. Join 100 CMOs and VPs of Marketing from companies like like Zoom, Snowflake, Manychat, Bitly, G2, HP, and more for two days of thinking bigger around a trusted group of peers in marketing. ***Thanks to my friends at hatch.fm for producing this episode and handling all of the Exit Five podcast production.They give you unlimited podcast editing and strategy for your B2B podcast.Get unlimited podcast editing and on-demand strategy for one low monthly cost. Just upload your episode, and they take care of the rest.Visit hatch.fm to learn more

The first days of 2026, Germany's snow-covered landscapes enchanted residents with the beauty of snow crystals under the full moon. Meilin Ehlke, a proponent of embracing individuality, found joy in walking through the snow, appreciating its unique beauty and sound. She urged others to support each other's potential, likening humans to snowflakes with the ability to create a beautiful blanket of light in the world.(00:01:12) Enchanting Snow Crystals Transform Germany in 2026(00:07:04) Embracing Nature's Healing Energy Through Presence(00:10:46) Radiating Unique Inner Beauty Through Love ~ * ~ ~ * ~ ~ * ~ ~ * ~You are invited to bring your wisdom and powerful energy over to our Fb group where you can share it with us and others. Feel welcomed and comforted in our community. https://www.facebook.com/groups/movingtooneness You can request a topic of your choice to be spoken about or a song to be sung for you on a future podcast. Just let us know. :) Email me: meilin@MovingToOneness.comFollow the show on YouTube: https://www.youtube.com/channel/UCzEWKXR957EmpmXvG9YgbhwIn Love and Light, Your host, Meilin Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

A little story that asks what would it be to fall from the sky as a snowflake!Sunday episode of the multi award-winning Yoto Daily - the mini podcast from the people at yotoplay.com.If you loved this episode, download the Yoto app to listen to the rest of the week's Yoto Daily episodes for free.If you want to share your artwork with Jake and Pema, or contribute your own joke for the Friyay jokes round up, check out yoto.space!Did you know you can tune into Yoto Daily for fun facts and trivia, jokes, and riddles each and every day? Access all episodes of Yoto Daily by downloading the Yoto App. You'll find loads of a world of free kids' radio, and you don't need a Yoto Player to use it.Follow us at @yotoplay on Instagram and Facebook! Hosted on Acast. See acast.com/privacy for more information.

Fluent Fiction - Mandarin Chinese: Spicy Dumplings and Snowflakes: A Culinary Challenge Find the full episode transcript, vocabulary words, and more:fluentfiction.com/zh/episode/2026-01-11-08-38-20-zh Story Transcript:Zh: 冬天的一个早晨，热闹的饺子乐园咖啡馆里，红色的灯笼在微风中轻轻摇曳，空气中飘散着浓郁的饺子香。En: One winter morning, in the bustling Jiaozi Leyuan Café, red lanterns gently swayed in the breeze, and the rich aroma of dumplings filled the air.Zh: 窗外，纷纷扬扬的雪花让这个小城更显得如诗如画。En: Outside, the falling snowflakes made the small town look even more picturesque.Zh: 明和莲在厨房里忙碌着，他们的目标是完成一个网上爆红的饺子挑战。En: Ming and Lian were busy in the kitchen, aiming to complete a dumpling challenge that had gone viral online.Zh: 明非常期待这个挑战，因为他希望能在过年的家宴上展示自己的厨艺。En: Ming was very excited about the challenge because he hoped to showcase his culinary skills at the family banquet during the New Year.Zh: 然而，这个任务远比他想象中的复杂。En: However, the task proved to be far more complicated than he had imagined.Zh: 明一边跟随视频，一边尽力模仿，但饺子皮总是不听使唤，有时太厚，有时又黏在一起。En: As Ming followed the video, trying his best to imitate it, the dumpling wrappers were unruly, sometimes too thick, and sometimes sticking together.Zh: 莲站在旁边，看着明笨手笨脚的样子，不禁轻声笑出了声。En: Lian, standing by, couldn't help but chuckle softly at his clumsy attempts.Zh: “别笑啦！”明故作镇定，“我一定能学会的。”En: "Don't laugh!" Ming pretended to be composed, "I can definitely learn this."Zh: 莲笑着点头，“没关系，我们一起加油。”En: Lian nodded with a smile, "It's okay, let's do our best together."Zh: 接下来的问题更加棘手。En: The next problem was even more tricky.Zh: 厨房里的调料用得差不多了，唯独缺了一项重要的香料。En: Most of the kitchen's spices were nearly used up, except for one important seasoning.Zh: 明皱着眉头，在厨房里左翻右找，En: Ming furrowed his brows and searched around the kitchen.Zh: 终于灵光一闪，发现了一瓶辣椒酱。En: Finally, a light bulb went off in his head when he discovered a bottle of chili sauce.Zh: 他灵机一动：“看来我们得即兴发挥了！”En: He had a brainwave: "Looks like we'll have to improvise!"Zh: 莲狐疑地看着那瓶辣椒酱，“你确定吗？这可是饺子，不是麻辣烫。”En: Lian looked suspiciously at the bottle of chili sauce, "Are you sure? These are dumplings, not malatang."Zh: 明坚定地点头：“试试看！”En: Ming nodded firmly, "Let's give it a try!"Zh: 于是，他们在饺子馅里加入了辣椒酱。En: So, they added the chili sauce to the dumpling filling.Zh: 虽然心中有些紧张，但明和莲怀着期待，将一盘盘饺子送到了门厅的小桌上。En: Though a bit nervous, Ming and Lian were hopeful as they delivered plate after plate of dumplings to the small table in the entrance hall.Zh: 吃饺子的朋友们一开始没有察觉特别之处，但第一口下肚后，立刻引发了一阵意料之外的轰动。En: Their friends, who were eating the dumplings, didn't notice anything special at first, but after the first bite, it caused an unexpected sensation.Zh: 有人吃得辣得面红耳赤，有人则恣意欢笑，纷纷给出好评。En: Some turned red from the spiciness, while others laughed heartily, all giving positive reviews.Zh: 一时间，水杯在桌面上此起彼伏。En: For a moment, water cups rose and fell on the tabletop.Zh: “真有意思的口感！”一位朋友大声称赞，“这种味道从未尝过！”En: "What an interesting taste!" one friend loudly praised, "I've never tasted such a flavor before!"Zh: 经过这场小小的混乱，明和莲偷偷相视一笑。En: After the small chaos, Ming and Lian exchanged a sneaky smile.Zh: 虽然这并不是原始食谱，但他们的创新获得了大家的喜爱。En: Although it wasn't the original recipe, their innovation was loved by everyone.Zh: 明终于意识到，原来创造力和灵活性也能让自己出彩。En: Ming finally realized that creativity and flexibility could also make him stand out.Zh: 后来，这种辣味饺子在当地成为一种新风潮，几个街区以外的人也慕名而来。En: Later, this spicy dumpling became a new trend locally, with people from several blocks away coming to try them.Zh: 在新年夜的家宴上，明骄傲地为家人端上了他的“特别版”饺子。En: At the New Year's Eve family banquet, Ming proudly served his "special edition" dumplings to his family.Zh: 莲一边夹起一个小小的辣饺子，一边开玩笑说：“看来，我们都学到了不少呢。”En: Playfully, Lian picked up a small spicy dumpling and joked, "Looks like we've learned quite a bit!"Zh: 明自信地微笑，而莲则莞尔一笑。En: Ming smiled confidently, while Lian gave a gentle smile in return.Zh: 他们知道，这场饺子挑战不仅带来了欢声笑语，更给他们的新年庆典增添了意外的惊喜。En: They knew that this dumpling challenge brought not only laughter but also an unexpected surprise to their New Year celebration.Zh: 故事，在这快乐与满意中，划下了圆满的句号。En: The story concluded in this joy and satisfaction, drawing a perfect ending. Vocabulary Words:bustling: 热闹的lanterns: 灯笼swayed: 摇曳picturesque: 如诗如画culinary: 厨艺complicated: 复杂unruly: 不听使唤clumsy: 笨手笨脚chuckle: 轻声笑furrowed: 皱起brainwave: 灵光一闪improvise: 即兴发挥suspiciously: 狐疑地malatang: 麻辣烫nervous: 紧张spiciness: 辣得hearty: 恣意欢笑sensation: 轰动creativity: 创造力flexibility: 灵活性innovation: 创新trend: 新风潮proudly: 骄傲地joked: 开玩笑gently: 莞尔surprise: 惊喜concluded: 划下句号satisfaction: 满意challenge: 挑战spices: 香料

Fluent Fiction - Mandarin Chinese: When Snowflakes Guided Two Hearts: A New Year's Encounter Find the full episode transcript, vocabulary words, and more:fluentfiction.com/zh/episode/2026-01-10-23-34-02-zh Story Transcript:Zh: 大年初一，北京的国立艺术博物馆张灯结彩，红灯笼如火般点亮了寒冷的冬日。En: On the first day of the Lunar New Year, Beijing's National Art Museum was decked out in festive decorations, with red lanterns illuminating the cold winter day like flames.Zh: 人潮涌动，大家都在寻找一份文化的慰藉和新年的美好祝愿。En: Crowds moved about, everyone seeking a touch of cultural solace and the bright hopes of the new year.Zh: 李伟裹紧大衣，他的目光穿过人群，直奔印象派展厅。En: Li Wei tightened his coat, his gaze cutting through the crowd as he headed directly to the Impressionist exhibit.Zh: 他喜欢那里的安静，仿佛每幅画作都在低声诉说过去的故事。En: He loved the quiet there, as if each painting softly told stories of the past.Zh: 突然，窗外的天空开始飘起了雪花，北风夹杂着细雨，迫使进入博物馆的人群密集了许多。En: Suddenly, snowflakes began to fall from the sky outside, mingling with a northern wind and light rain, causing the crowd inside the museum to grow thicker.Zh: 在人群之中，他的目光意外地与一个微笑的女孩相遇，她是韩梅，一位充满活力的本地艺术家。En: Among the crowd, his gaze unexpectedly met that of a smiling girl, Han Mei, a vibrant local artist.Zh: 韩梅正在寻找一个能激发她灵感的视角。En: Han Mei was in search of a perspective that could inspire her.Zh: 她习惯性地将灵感捕捉在随身的素描本中。En: She habitually captured her inspirations in a sketchbook she carried everywhere.Zh: 注意到李伟的沉默，她亲切地问：“你也喜欢这里的画吗？En: Noticing Li Wei's silence, she kindly asked, "Do you like the paintings here too?"Zh: ”李伟心头一颤，有些踌躇，他一向不善于与陌生人交流，但眼前的韩梅似乎充满了好奇与好意。En: Li Wei's heart skipped a beat, hesitating a little.Zh: “嗯，我喜欢印象派。En: He was not good at talking with strangers, but the curious and friendly Han Mei seemed inviting.Zh: 寻找内心的宁静和灵感。En: "Yes, I like Impressionism.Zh: ”韩梅欣然点头，拿出几幅自己的速写。En: It helps me find inner peace and inspiration."Zh: “我的目标是用画笔记录这一刻。En: Han Mei nodded with pleasure, taking out a few of her sketches.Zh: 或许，我们可以讨论一下？En: "My goal is to capture this moment with my brush.Zh: ”她的目光中带着期待。En: Perhaps, we can discuss it together?"Zh: 这时，李伟的朋友肖明大声道，“嘿，李伟，你终于找到聊得来的人了！En: Her eyes held a look of anticipation.Zh: ”他笑着拍拍李伟的肩膀，似乎成了不经意间撮合两人的媒人。En: Just then, Li Wei's friend Xiao Ming called out loudly, "Hey, Li Wei, you finally found someone you can talk to!"Zh: 馆内嘈杂的人声渐渐远去，他们站在一幅白雪覆盖的风景画前，画面中那静谧的景象如同一个小世界，让他们心声相通。En: He laughed and patted Li Wei's shoulder, seemingly an inadvertent matchmaker bringing the two together.Zh: “这幅画让我想起小时候在乡下过年的时候。En: As the noisy chatter in the museum gradually faded away, they stood before a snow-covered landscape painting.Zh: ”李伟轻声说道。En: The serene scene within seemed like a small world, allowing their hearts to connect.Zh: 韩梅点点头，分享自己的故事：“我也是。En: "This painting reminds me of the New Years I spent in the countryside as a child," Li Wei said softly.Zh: 小时候，每到春节，我们会堆雪人，在雪地里尽情玩耍。En: Han Mei nodded in agreement, sharing her own story: "Me too.Zh: ”这样一个简单的时刻，拉近了他们的距离。En: When I was a child, every Spring Festival, we would build snowmen and play in the snow to our heart's content."Zh: 尽管博物馆内人声鼎沸，他们的心却似乎达成了一种静默的和谐。En: This simple moment brought them closer together.Zh: 傍晚，天色渐暗，李伟和韩梅走出博物馆。En: Despite the museum's clamor, their hearts seemed to have reached a silent harmony.Zh: 在逐渐稀少的人群中，他们略显笨拙地交换了电话号码，约好下次一起参观艺术展。En: As evening approached and the sky darkened, Li Wei and Han Mei left the museum.Zh: “谢谢你让我认识了一个新朋友。En: Amidst the thinning crowd, they somewhat awkwardly exchanged phone numbers and agreed to attend another art exhibition together next time.Zh: ”李伟微笑着说，克服了他的羞涩。En: "Thank you for introducing me to a new friend," Li Wei said with a smile, having overcome his shyness.Zh: 他感觉自己变得更开放了，不再局限于独自欣赏艺术。En: He felt more open, no longer confined to appreciating art alone.Zh: 韩梅也收获满满，她从李伟的视角中得到了新的灵感。En: Han Mei also left enriched, drawing new inspiration from Li Wei's perspective.Zh: “不客气，我也很期待我们的下次交流。En: "You're welcome, I'm also very much looking forward to our next exchange."Zh: ”她的声音如同冬日的暖阳。En: Her voice was like the warm sun in winter.Zh: 在北京的大街小巷中，他们并肩而行，仿佛未来的故事才刚刚开始。En: Together they walked through the streets and alleys of Beijing, as if the story of their future had just begun.Zh: 新年的雪花静静地落下，描绘出一幅新的画卷。En: New Year's snowflakes fell quietly, painting a new picture. Vocabulary Words:festive: 张灯结彩decked out: 布置illuminating: 点亮solace: 慰藉tightened: 裹紧gaze: 目光Impressionist: 印象派exhibit: 展厅snowflakes: 雪花mingling: 夹杂perspective: 视角habitually: 习惯性地sketchbook: 素描本inner peace: 内心的宁静hesitating: 踌躇inadvertent: 不经意matchmaker: 媒人chatter: 嘈杂的人声serene: 静谧closeness: 拉近clamor: 人声鼎沸harmony: 和谐thinning: 稀少awkwardly: 略显笨拙exchanged: 交换overcome: 克服shyness: 羞涩enriched: 收获满满anticipation: 期待future: 未来

Chad Peets is one of the great sales leaders of our time. Currently, Chad is leading all things sales at X. Previously he was the sales saviour at Snowflake and was an advisor to the CEO there. He was also a MD at Sutter Hill where he sat on the board of companies like Sigma Computing and Augment Code.  AGENDA: 04:53 How to Recruit the Best Sales Talent Today  06:27 Why Europe is a Nightmare for Recruitment in Sales 11:29 How to Evaluate Sales Talent: Green and Red Flags 21:58 Why Remote Work is BS and You Have to be in Office 23:43 How to Improve Sales Team Performance in Just 24 Hours 27:45 When to Fire vs When to Give More Time 32:10 How to Set Sales Quotas Effectively 34:39 Adjusting Compensation Plans for Better Performance 37:50 Why Work Life Balance is Total BS 41:08 Biggest Lessons on Leading Sales Teams 50:37 What is The Future of Enterprise Sales with AI 58:40 Quick Fire Questions and Final Thoughts  

Chad Peets is one of the great sales leaders of our time. Previously, he was the sales saviour at Snowflake and was an advisor to the CEO there. He was also an MD at Sutter Hill where he sat on the board of companies like Sigma Computing and Augment Code.  AGENDA: 04:53 How to Recruit the Best Sales Talent Today  06:27 Why Europe is a Nightmare for Recruitment in Sales 11:29 How to Evaluate Sales Talent: Green and Red Flags 21:58 Why Remote Work is BS and You Have to be in Office 23:43 How to Improve Sales Team Performance in Just 24 Hours 27:45 When to Fire vs When to Give More Time 32:10 How to Set Sales Quotas Effectively 34:39 Adjusting Compensation Plans for Better Performance 37:50 Why Work Life Balance is Total BS 41:08 Biggest Lessons on Leading Sales Teams 50:37 What is The Future of Enterprise Sales with AI 58:40 Quick Fire Questions and Final Thoughts  

Nine years in. 500 episodes later. Hundreds of CMOs on the mic. A deep well of marketing wisdom for anyone brave enough to draw from it. This milestone episode is a celebration of the bold B2B ideas, experiments, and hard-earned lessons that have filled the show from day one. Thank-you to every marketer who has listened, shared, and dared to try something new because of what they heard here.    Recorded live at the 2025 Super Huddle, Drew's conversations with Udi Ledergor, Denise Persson and Chris Degnan, and Carilu Dietrich anchor this milestone episode.  In this episode:  Udi shares how Gong pulled off a Super Bowl spot on a regional budget, aimed it at VPs of Sales, and tracked impact in traffic, conversations, and pipeline.  Denise and Chris explain how a CMO and CRO stayed aligned through four CEOs at Snowflake and evolved the story from "cloud data warehouse" to "data cloud," all in lockstep.  Carilu shows how Lovable is building a movement with real users as influencers, a CEO who lives on social, and a speed-first mindset tuned to the pace of AI and customer buzz.  Plus:  Why a "crazy ideas" budget creates room for standout plays that still satisfy the CFO  How empathy for sales and shared ownership of the number strengthen CRO-CMO alignment  How CEO-led social, customer stories, and edutainment power modern B2B brands  What it takes to move at AI speed while keeping product value and customer love at the center If you want a concentrated hit of CMO-level courage, alignment, and playmaking, this milestone episode is your highlight reel.  For full show notes and transcripts, visit https://renegademarketing.com/podcasts/ To learn more about CMO Huddles, visit https://cmohuddles.com/

In this finance-focused discussion, we examine three companies that often appear together in conversations about cloud computing and data—but operate in meaningfully different segments of the market: Oracle, Snowflake, and Datadog.

Matthew Glickman, Co-founder and CEO of Genesis Computing and former VP of Product at Snowflake, joins Ben Lorica to discuss the emergence of AI data agents tailored for the data engineering persona. Subscribe to the Gradient Flow Newsletter

#319 | Dave sits down with Jess Lytle, Head of Marketing at Exit Five, to talk about how AI is changing the job of B2B marketers and the reality of how AI is actually being adopted internally. They also cover how AI even helped Jess get her job at Exit Five and why she's become obsessed about deploying AI in marketing and really believes this is the most important martech wave yet. Timestamps(00:00) - – Goals, manifestation, and reverse-engineering outcomes (06:14) - – Meet Jess Lytle, Head of Marketing at Exit Five (08:28) - – How Jess got hired at Exit Five (webinar → DMs → job) (10:28) - – From demand gen to AI: early adoption, teaching, and Lovable (15:58) - – Why AI feels different than traditional martech (18:28) - – Content in 2026: originality, human insight, and AI distribution (29:16) - – NotebookLM: real marketing workflows and internal use cases (35:16) - – AI tools, team structure, and hybrid marketer roles (45:56) - – Working at Exit Five, founder-led marketing, and brand bets Join 50,0000 people who get Dave's Newsletter here: https://www.exitfive.com/newsletterLearn more about Exit Five's private marketing community: https://www.exitfive.com/***Brought to you by:Optimizely - A no-code AI platform where autonomous agents execute marketing work across webpages, email, SEO, and campaigns. Get a free, personalized 45-minute AI workshop to help you identify the best AI use cases for your marketing team and map out where agents can save you time at optimizely.com/exitfive. AirOps - The content engineering platform that helps marketers create and maintain high-quality, on-brand content that wins AI search. Go to airops.com/exitfive to start creating content that reflects your expertise, stays true to your brand, and is engineered for performance across human and AI discovery.Visit exitfive.com/retreat to apply for Exit Five's first-ever, in-person Marketing Leadership Retreat, March 18–20, 2026 in Scottsdale, Arizona. Join 100 CMOs and VPs of Marketing from companies like like Zoom, Snowflake, Manychat, Bitly, G2, HP, and more for two days of thinking bigger around a trusted group of peers in marketing. ***Thanks to my friends at hatch.fm for producing this episode and handling all of the Exit Five podcast production.They give you unlimited podcast editing and strategy for your B2B podcast.Get unlimited podcast editing and on-demand strategy for one low monthly cost. Just upload your episode, and they take care of the rest.Visit hatch.fm to learn more

Welcome to episode 335 of The Cloud Pod, where the forecast is always cloudy! Welcome to the first show of 2026, and it's a full house, too! Justin, Jonathan, Ryan,  and Matt are all here to reflect on 2025, plus bring you their predictions for 2026. Let's get started!  Titles we almost went with this week SQL Me Maybe: AlloyDB Gets Chatty With Your Database **OpenAI SELECT * FROM natural_language WHERE accuracy LIKE ‘100%’ **Anthropic etcd You Were Worried About Database Limits: CloudWatch Has Your Back CSV You Later: Looker Adds Drag-and-Drop Data Uploads AWS Spots an Opportunity to Manage Your Container Costs EKS Network Policies: No More IP Address Whack-a-Mole AWS Security Hub Splits: It’s Not You, It’s CSPM Spot On: ECS Finally Manages Your Cheapest Compute TOON Squad: DigitalOcean’s New Format Makes JSON Look Bloated The Price is Wrong: AWS Breaks Two Decades of Downward Pricing Tradition Show Your Work: Why AI-Generated Code Without Tests is Just Expensive Spam No More Agent Orange: Google Simplifies VM Extension Deployment AWS Discovers Prices Can Go Both Ways, Raises GPU Costs 15 Percent Sovereignty Washing: When Your European Cloud Still Answers to Uncle Sam Agent Builder Gets a Memory Upgrade: Google’s AI Finally Remembers Where It Put Its Keys Ctrl+F for the Future: A year-end Scorecard & Next-Gen Bets AI Agents, GPU Prices, and The best of the Cloud Pod 2025 Beyond the Hype: The Cloud Pods Definitive 2025 Year in Review Apocalypse Now… What? Our 2026 Forecast Follow Up  01:27 RYAN’S PREDICTIONS Prediction Status Notes Quick LLM models for individuals ACCURATE Meta-Llama-3.1-8B-Instruct, GLM-4-9B-0414, and Qwen2.5-VL-7B-Instruct—each chosen for an outstanding balance of performance and computational efficiency, making them ideal for edge AI deployment. A new AI inference application called Inferencer allows even modest Apple Mac computers to run the largest open-source LLMs. AI at the edge natively (Lambda-esque) ACCURATE Akamai launched a new Inference Cloud product for edge AI using Nvidia’s Blackwell 6000 GPUs in 17 cities. AWS IoT Greengrass with Lambda functions for edge logic. “Edge AI allows for instant decision-making where it matters most—close to the data source.” Cloud native security mesh multi-cloud UNCLEAR Service mesh technologies continue to evolve (Istio, Linkerd), but I didn’t find a breakthrough “app-to-app at the edge” security mesh product announcement in 2025. This one needs more specific evidence. Ryan Score: 2/3 02:25 MATTHEW’S PREDICTIONS Prediction Status Notes FOCUS adopted by Snowflake or Databricks ACCURATE FOCUS version 1.2 was ratified on May 29, 2025. Three new providers announced support: Alibaba Cloud, Databricks, and Grafana. Databricks officially adopted FOCUS! AI security/ethical standard (SOC or ISO) ACCURATE ISO 42001 is the first international standard outlining requirements for AI governance. Major companies achieving certification in 2025: Automation Anywhere is among the first 100 companies worldwide to earn ISO/IEC 42001:2023 certification. Anthropic also achieved ISO 42001 certification. Amazon deprecates 5+ services (WorkMail bonus) ACCURATE (no bonus) 19 services are mothballed, four are being sunset, and one is end of its supported life. Deprecated services include CodeCommit, Cloud9, S3 Select, CloudSearch, SimpleDB, Forecast, Data Pipeline, QLDB, Snowball Edge, and more. WorkMail NOT deprecated – WorkDocs was (April 2025), but WorkMail remains active. Matthew Score: 3/3 03:22 JONATHAN’S PREDICTIONS Prediction Status Notes Company claims AGI achieved ACC

#318 | Dave is joined by Kieran Flanagan, SVP of Marketing at HubSpot and former CMO at Zapier. They break down how AI is reshaping B2B marketing workflows, content creation, and team structure, plus Kieran's leadership philosophy for managing a 300+ person team while staying deeply involved in creative execution. This episode offers a clear look at how AI is changing the game and how B2B marketers can stay creative, strategic, and indispensable in the process.Timestamps(00:00) - – Intro + why AI matters now (04:28) - – Kieran's career + the 2-year mission framework (09:58) - – The grind, early-career advice, and earning your stripes (12:28) - – Operator vs. manager + strong opinions in leadership (20:28) - – Why collaborative brainstorms fail (25:28) - – ChatGPT vs. Claude + how Kieran actually uses AI (33:16) - – Where AI is taking B2B marketing (answers → actions) (44:46) - – Picking a lane: technical vs. creative marketers (52:16) - – The future CMO + agencies, in-person, and what still matters Join 50,0000 people who get Dave's Newsletter here: https://www.exitfive.com/newsletterLearn more about Exit Five's private marketing community: https://www.exitfive.com/***Brought to you by:Optimizely - A no-code AI platform where autonomous agents execute marketing work across webpages, email, SEO, and campaigns. Get a free, personalized 45-minute AI workshop to help you identify the best AI use cases for your marketing team and map out where agents can save you time at optimizely.com/exitfive. AirOps - The content engineering platform that helps marketers create and maintain high-quality, on-brand content that wins AI search. Go to airops.com/exitfive to start creating content that reflects your expertise, stays true to your brand, and is engineered for performance across human and AI discovery.Visit exitfive.com/retreat to apply for Exit Five's first-ever, in-person Marketing Leadership Retreat, March 18–20, 2026 in Scottsdale, Arizona. Join 100 CMOs and VPs of Marketing from companies like like Zoom, Snowflake, Manychat, Bitly, G2, HP, and more for two days of thinking bigger around a trusted group of peers in marketing. ***Thanks to my friends at hatch.fm for producing this episode and handling all of the Exit Five podcast production.They give you unlimited podcast editing and strategy for your B2B podcast.Get unlimited podcast editing and on-demand strategy for one low monthly cost. Just upload your episode, and they take care of the rest.Visit hatch.fm to learn more

Fluent Fiction - Dutch: Snowflakes & Warm Hearts: A Winter Festival's Delight Find the full episode transcript, vocabulary words, and more:fluentfiction.com/nl/episode/2026-01-04-08-38-19-nl Story Transcript:Nl: De lucht boven de Amsterdamse wijk was grijs en dreigend.En: The sky above the Amsterdamse district was gray and threatening.Nl: Sneeuwvlokken vielen zachtjes op de daken, straten en bomen.En: Snowflakes gently fell on the roofs, streets, and trees.Nl: Het was winter en Nieuwjaarsdag naderde snel.En: It was winter, and New Year's Day was approaching quickly.Nl: Jeroen stond in de deuropening van de grote gemeenschapszaal, een plek die hij graag omtoverde tot het hart van de buurt.En: Jeroen stood in the doorway of the large community hall, a place he loved to transform into the heart of the neighborhood.Nl: Vandaag moest alles op tijd klaar zijn voor het winterfestival.En: Today, everything had to be ready on time for the winter festival.Nl: Dit festival was zijn idee om de buurt samen te brengen.En: This festival was his idea to bring the neighborhood together.Nl: Jeroen zette optimistisch zijn muts op en sloeg zijn sjaal om zijn nek.En: Jeroen optimistically put on his hat and wrapped his scarf around his neck.Nl: Hij groette de voorbijgangers en liep naar Sanne, die al druk in de weer was.En: He greeted passersby and walked over to Sanne, who was already busy.Nl: Haar wenkbrauwen waren gefronst.En: Her eyebrows were furrowed.Nl: Sanne hield ervan dat dingen precies gingen zoals gepland, maar het weer gooide roet in het eten.En: Sanne liked things to go exactly as planned, but the weather threw a wrench in the works.Nl: Ze had de versieringen tot in de puntjes uitgedacht, maar de sneeuw maakte het buitenprogramma onzeker.En: She had thought through the decorations down to the last detail, but the snow made the outdoor program uncertain.Nl: "Sanne," zei Jeroen vriendelijk, "we moeten misschien kijken naar een binnenoptie gezien het weer."En: "Sanne," said Jeroen kindly, "we might need to consider an indoor option given the weather."Nl: Sanne keek even op van haar checklist en zuchtte.En: Sanne glanced up from her checklist and sighed.Nl: "Binnen?"En: "Indoors?"Nl: vroeg ze sceptisch.En: she asked skeptically.Nl: "Heb je een idee hoe dat er dan uit gaat zien?"En: "Do you have any idea what that might look like?"Nl: Jeroen knikte.En: Jeroen nodded.Nl: Hij had al een plan, maar wist dat het overtuigen van Sanne niet makkelijk zou zijn.En: He already had a plan, but he knew that convincing Sanne would not be easy.Nl: Niet ver weg stond Bram.En: Not far away stood Bram.Nl: Hij hield zich op de achtergrond.En: He kept to the background.Nl: Bram vond het hele gedoe rondom het festival maar overbodig.En: Bram found all the fuss around the festival unnecessary.Nl: Maar omdat zijn vrienden meededen, hielp hij ook.En: But because his friends were involved, he helped, too.Nl: "Bram, kunnen we jou voor iets vragen?"En: "Bram, can we ask you for something?"Nl: vroeg Jeroen.En: asked Jeroen.Nl: Bram haalde zijn schouders op.En: Bram shrugged.Nl: "Ik denk erover," antwoordde hij, niet overtuigd.En: "I'll think about it," he answered, not convinced.Nl: De avond voor het festival sloeg het weer om.En: The night before the festival, the weather turned.Nl: Er viel meer sneeuw dan verwacht.En: More snow fell than expected.Nl: Jeroen bleef rustig en besloot zijn binnenplan in werking te zetten.En: Jeroen remained calm and decided to put his indoor plan into action.Nl: De loods waar het festival eerst gepland stond werd omgebouwd tot een knusse, feestelijke ruimte met warme lichten en gezellige muziek.En: The hall where the festival was first planned was transformed into a cozy, festive space with warm lights and cheerful music.Nl: Het was niet het plan dat Sanne had willen volgen, maar zo kon het festival doorgaan.En: It wasn't the plan that Sanne had wanted to follow, but this way the festival could go on.Nl: Toen de ochtend van het festival aanbrak, stonden Jeroen, Sanne en Bram voor een uitdaging.En: When the morning of the festival arrived, Jeroen, Sanne, and Bram faced a challenge.Nl: Alles moest snel verplaatst worden naar binnen.En: Everything had to be quickly moved indoors.Nl: Het was spannend.En: It was exciting.Nl: Sanne vond het moeilijk om de controle los te laten, maar ze realiseerde zich dat ze op haar team kon vertrouwen.En: Sanne found it hard to let go of control, but she realized she could rely on her team.Nl: Bram, geraakt door de inzet van zijn vrienden, besloot ook serieus mee te doen.En: Bram, touched by the effort of his friends, decided to take it seriously, too.Nl: Samen met een grote groep buurtgenoten werkten ze hard.En: Together with a large group of neighbors, they worked hard.Nl: Als vanzelf begon het festival in de gezellige warmte van de gemeenschapszaal.En: Naturally, the festival began in the cozy warmth of the community hall.Nl: Het rook er naar warme chocolademelk en oliebollen.En: It smelled of hot chocolate and oliebollen.Nl: Kinderen renden rond en buren lachten en praatten met elkaar.En: Children ran around, and neighbors laughed and talked with each other.Nl: Het geluid van muziek vulde de ruimte terwijl de sneeuw buiten stilletjes bleef vallen.En: The sound of music filled the room while the snow quietly continued to fall outside.Nl: Jeroen keek om zich heen en glimlachte.En: Jeroen looked around and smiled.Nl: Het festival was een succes.En: The festival was a success.Nl: Ondanks de uitdagingen had de gemeenschap zich verenigd.En: Despite the challenges, the community had united.Nl: Sanne leunde ontspannen terug en gaf zich over aan de sfeer.En: Sanne leaned back, relaxed, and gave in to the atmosphere.Nl: Ze voelde zich opgelucht en gelukkig.En: She felt relieved and happy.Nl: Ze had geleerd dat soms dingen goed komen, zelfs zonder alle controle.En: She had learned that sometimes things turn out well, even without full control.Nl: Bram keek naar de mensen om hem heen en besefte dat, ondanks zijn twijfels, deze momenten waardevol waren en hij wilde vaker deel uitmaken van zulke gebeurtenissen.En: Bram looked at the people around him and realized that, despite his doubts, these moments were valuable, and he wanted to be part of such events more often.Nl: Het winterfestival was meer dan een viering.En: The winter festival was more than a celebration.Nl: Het was een nieuwe kans voor de gemeenschap om samen te komen.En: It was a new opportunity for the community to come together.Nl: Ze waren niet alleen een buurt, maar vrienden.En: They were not just a neighborhood, but friends.Nl: De warmte binnen de zaal weerkaatste in de harten van de bewoners, terwijl buiten de sneeuw de straten bleef bedekken.En: The warmth inside the hall was reflected in the hearts of the residents, while outside, the snow continued to cover the streets. Vocabulary Words:threatening: dreigendapproaching: naderdedoorway: deuropeningcommunity hall: gemeenschapszaaloptimistically: optimistischpassersby: voorbijgangersfurrowed: gefronstwrench: roetindoors: binnenskeptically: sceptischconvinced: overtuigdcalm: rustigtransformed: omgebouwdcozy: knussecheerful: gezelligechallenges: uitdagingencontrol: controlerely: vertrouwentouched: geraaktfestival: festivalhot chocolate: warme chocolademelksuccess: succesrelieved: opgeluchtvaluable: waardevolopportunity: kanscelebration: vieringneighborhood: buurtheart: hartensnowflakes: sneeuwvlokkenunexpected: onverwacht

Nik and Michael discuss the events and trends they thought were most important in the Postgres ecosystem in 2025. Here are some links to things they mentioned: Postgres 18 release notes https://www.postgresql.org/docs/18/release-18.htmlOur episode on Postgres 18 https://postgres.fm/episodes/postgres-18LWLock:LockManager benchmarks for Postgres 18 (blog post by Nik) https://postgres.ai/blog/20251009-postgres-marathon-2-005PostgreSQL bug tied to zero-day attack on US Treasury https://www.theregister.com/2025/02/14/postgresql_bug_treasuryPgDog episode https://postgres.fm/episodes/pgdogMultigres episode https://postgres.fm/episodes/multigresNeki announcement https://planetscale.com/blog/announcing-nekiOur 100TB episode from 2024 https://postgres.fm/episodes/to-100tb-and-beyondPlanetScale for Postgres https://planetscale.com/blog/planetscale-for-postgresOracle's MySQL job cuts https://www.theregister.com/2025/09/11/oracle_slammed_for_mysql_jobAmazon Aurora DSQL is now generally available https://aws.amazon.com/about-aws/whats-new/2025/05/amazon-aurora-dsql-generally-availableAnnouncing Azure HorizonDB https://techcommunity.microsoft.com/blog/adforpostgresql/announcing-azure-horizondb/4469710Lessons from Replit and Tiger Data on Storage for Agentic Experimentation https://www.tigerdata.com/blog/lessons-replit-tiger-data-storage-agentic-experimentationInstant database clones with PostgreSQL 18 https://boringsql.com/posts/instant-database-clonesturbopuffer episode https://postgres.fm/episodes/turbopufferCrunchy joins Snowflake https://www.crunchydata.com/blog/crunchy-data-joins-snowflakeNeon joins Databricks https://neon.com/blog/neon-and-databricks~~~What did you like or not like? What should we discuss next time? Let us know via a YouTube comment, on social media, or by commenting on our Google doc!~~~Postgres FM is produced by:Michael Christofides, founder of pgMustardNikolay Samokhvalov, founder of Postgres.aiWith credit to:Jessie Draws for the elephant artwork

  A significant majority of American employees feelwork pressure, with studies showing figures like 80% reporting"productivity anxiety," and high percentages experiencingstress, burnout, and the need to "perform" being busy, especiallywith younger workers feeling it more intensely, leading to exhaustion andimpacting well-being,  Deloitte reports. Michael Dugan is the author of "Turning Snowflakes IntoDiamonds" and creator of the Becoming Diamond Framework. With over 20,000hours of experience as a professional trainer from the world's largestautomotive group, Michael teaches individuals how to transform pressure intopower, master emotional intelligence, and thrive in an era defined by AI andconstant change. His mission is to help others stay calm, confident, andunshakable under pressure.  For over 20years, I have been teaching people how to perform under pressure. Not intheory, but in the trenches of real business and leadership. With more than20,000 hours locked as a professional trainer for the largest auto group on theplanet, I've learned that success comes down to belief. That's what inspired mybook, Turning Snowflakes to Diamonds. We're living in a time where AIautomation is rewriting the rules, and people are losing their sense ofcertainty and values. My mission is to help people rediscover their trueselves. Even when the world feels like it's changing too fast. Through myBecoming Diamond framework, I teach emotional mastery, effective communication,and self-belief, and how to transform life's pressures into personal power. I'vetrained thousands of people to stay calm, confident, and unshakeable when itmatters most. If your someone who is looking for a conversation that ismotivational, relevant, and deeply human, this is it! I help people see thatpressure isn't their enemy. It's the most incredible opportunity to evolve.Get the Book: https://www.amazon.ca/Turning-Snowflakes-into-Diamonds-PRESSURE-ebook/dp/B0FQJLZ67Z  Follow: @turning__snowflakestodiamonds

#317 | Dave hosts a live session with Dasha Shakov (Head of Marketing, Proton.ai), Emeric Ernoult (Founder, CEO, Agorapulse), and Finn Thormeier (Founder, Project 33) to break down what's working on LinkedIn right now. They discuss why LinkedIn is the most important channel for B2B, why social media is the best marketing channel available today, how founder-led and employee content drives growth, and what's changed about how people use the platform over the last five years. The group also gets into LinkedIn's thought leader ads, thoughts on measuring results when attribution is messy, and how to sell LinkedIn's value to leadership and convince them to spend time there. It's a look into how B2B teams can earn attention, build credibility, and make LinkedIn a massive growth channel in 2026.Timestamps(00:56) - – Why LinkedIn is still Dave's favorite B2B channel (05:01) - – Panel intros: Dasha, Finn, Emeric (07:25) - – Why LinkedIn changed and why it matters now (09:34) - – “Our buyers aren't on LinkedIn” is mostly wrong (12:26) - – Who should post: CEO, team, or company page (16:47) - – Why promo posts flop (and why that's okay) (21:44) - – What to actually post when starting from zero (38:13) - – Why thought leader ads outperform everything else Join 50,0000 people who get Dave's Newsletter here: https://www.exitfive.com/newsletterLearn more about Exit Five's private marketing community: https://www.exitfive.com/***Brought to you by:Optimizely - A no-code AI platform where autonomous agents execute marketing work across webpages, email, SEO, and campaigns. Get a free, personalized 45-minute AI workshop to help you identify the best AI use cases for your marketing team and map out where agents can save you time at optimizely.com/exitfive. AirOps - The content engineering platform that helps marketers create and maintain high-quality, on-brand content that wins AI search. Go to airops.com/exitfive to start creating content that reflects your expertise, stays true to your brand, and is engineered for performance across human and AI discovery.Visit exitfive.com/retreat to apply for Exit Five's first-ever, in-person Marketing Leadership Retreat, March 18–20, 2026 in Scottsdale, Arizona. Join 100 CMOs and VPs of Marketing from companies like like Zoom, Snowflake, Manychat, Bitly, G2, HP, and more for two days of thinking bigger around a trusted group of peers in marketing. ***Thanks to my friends at hatch.fm for producing this episode and handling all of the Exit Five podcast production.They give you unlimited podcast editing and strategy for your B2B podcast.Get unlimited podcast editing and on-demand strategy for one low monthly cost. Just upload your episode, and they take care of the rest.Visit hatch.fm to learn more

Kyle Cheung, co-founder of Greybeam, shares how his team built a tool that reduces Snowflake costs by 70-95%, without migration, drawing from multiple pivots over two years. The discussion covers their quirky marketing tactics and advice on fundraising as storytelling.This episode is brought to you by WorkOS. If you're thinking about selling to enterprise customers, WorkOS can help you add enterprise features like Single Sign On and audit logs.Links:   •  Kyle's Linkedin   •  Greybeam

From investing through the modern data stack era (DBT, Fivetran, and the analytics explosion) to now investing at the frontier of AI infrastructure and applications at Amplify Partners, Sarah Catanzaro has spent years at the intersection of data, compute, and intelligence—watching categories emerge, merge, and occasionally disappoint. We caught up with Sarah live at NeurIPS 2025 to dig into the state of AI startups heading into 2026: why $100M+ seed rounds with no near-term roadmap are now the norm (and why that terrifies her), what the DBT-Fivetran merger really signals about the modern data stack (spoiler: it's not dead, just ready for IPO), how frontier labs are using DBT and Fivetran to manage training data and agent analytics at scale, why data catalogs failed as standalone products but might succeed as metadata services for agents, the consumerization of AI and why personalization (memory, continual learning, K-factor) is the 2026 unlock for retention and growth, why she thinks RL environments are a fad and real-world logs beat synthetic clones every time, and her thesis for the most exciting AI startups: companies that marry hard research problems (RAG, rule-following, continual learning) with killer applications that were simply impossible before. We discuss: The DBT-Fivetran merger: not the death of the modern data stack, but a path to IPO scale (targeting $600M+ combined revenue) and a signal that both companies were already winning their categories How frontier labs use data infrastructure: DBT and Fivetran for training data curation, agent analytics, and managing increasingly complex interactions—plus the rise of transactional databases (RocksDB) and efficient data loading (Vortex) for GPU-bound workloads Why data catalogs failed: built for humans when they should have been built for machines, focused on discoverability when the real opportunity was governance, and ultimately subsumed as features inside Snowflake, DBT, and Fivetran The $100M+ seed phenomenon: raising massive rounds at billion-dollar valuations with no 6-month roadmap, seven-day decision windows, and founders optimizing for signal ("we're a unicorn") over partnership or dilution discipline Why world models are overhyped but underspecified: three competing definitions, unclear generalization across use cases (video games ≠ robotics ≠ autonomous driving), and a research problem masquerading as a product category The 2026 theme: consumerization of AI via personalization—memory management, continual learning, and solving retention/churn by making products learn skills, preferences, and adapt as the world changes (not just storing facts in cursor rules) Why RL environments are a fad: labs are paying 7–8 figures for synthetic clones when real-world logs, traces, and user activity (à la Cursor) are richer, cheaper, and more generalizable Sarah's investment thesis: research-driven applications that solve hard technical problems (RAG for Harvey, rule-following for Sierra, continual learning for the next killer app) and unlock experiences that were impossible before Infrastructure bets: memory, continual learning, stateful inference, and the systems challenges of loading/unloading personalized weights at scale Why K-factor and growth fundamentals matter again: AI felt magical in 2023–2024, but as the magic fades, retention and virality are back—and most AI founders have never heard of K-factor — Sarah Catanzaro X: https://x.com/sarahcat21 Amplify Partners: https://amplifypartners.com/ Where to find Latent Space X: https://x.com/latentspacepod Substack: https://www.latent.space/ Chapters 00:00:00 Introduction: Sarah Catanzaro's Journey from Data to AI 00:01:02 The DBT-Fivetran Merger: Not the End of the Modern Data Stack 00:05:26 Data Catalogs and What Went Wrong 00:08:16 Data Infrastructure at AI Labs: Surprising Insights 00:10:13 The Crazy Funding Environment of 2024-2025 00:17:18 World Models: Hype, Confusion, and Market Potential 00:18:59 Memory Management and Continual Learning: The Next Frontier 00:23:27 Agent Environments: Just a Fad? 00:25:48 The Perfect AI Startup: Research Meets Application 00:28:02 Closing Thoughts and Where to Find Sarah

Elsa has gone to get the bread her Grandfather has asked her to pick up, the special loaf they have only once a year. While she is waiting for the bread to be ready she stands outside and enjoys the snowflakes. Then something magical happens. ✔️ Perfect for ages 4+ Sleep Tight!, Sheryl & Clark ❤️

Most enterprises aren't ready for agentic AI, but ChristianKleinerman, Snowflake's EVP of Product, shares practical advice on what it takes to succeed: data readiness, governance, AI economics, and workforcestrategy.In this episode of CXOTalk, Kleinerman draws on 25 years ofenterprise technology experience to give leaders a realistic roadmap for AI adoption. He explains how to evaluate AI vendors in hours instead of months, which use cases deliver measurable ROI today, and how to build the data foundation that makes AI agents effective.

A parody of “Walkin' On The Sun”. Learn more about your ad choices. Visit megaphone.fm/adchoices

The 5 things you need to know before the stock market opens today: silver and gold prices are on the move, Ukraine President Volodymyr Zelenskyy says he plans to meet with President Trump soon, one lucky lottery player wins Powerball's second-largest payout ever, self-driving car startup Waymo is pausing robotaxi service in San Francisco, and Snowflake is reportedly in talks to acquire artificial intelligence software developer Observe. Squawk Box is hosted by Joe Kernen, Becky Quick and Andrew Ross Sorkin.  Follow Squawk Pod for the best moments, interviews and analysis from our TV show in an audio-first format.  Thanks to Steve Liesman and Leslie Picker for sitting in today!  Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

4pm: Ferguson backs WA income tax on millionaires // Rep. Travis Couture: A budget reset that works for Washingtonians // Move Aside, Snowflake: ‘Theater Kid’ Is the New Go-To Political Insult // Most Top-Achieving Adults Weren’t Elite Specialists in Childhood, New Study Finds

Flake uniqueness revealed... Get cozy and relax! This podcast is funded by advertising. Info and offers from our sponsors: https://linktr.ee/PodcastForSleep Here's the Wikipedia article (revised): https://en.wikipedia.org/wiki/Snowflake CC BY-SA 4.0 Learn more about your ad choices. Visit megaphone.fm/adchoices

What a delight to speak again with Lodge Tales podcast's creator, Rod Williamson for this Winter Special. Here we chat about indigenous winter story traditions, Rod shares his snow blizzard encounter with a helpful guide and his tree/stick man experience. Our previous discussion is here: https://open.spotify.com/episode/54Ahd2Y0Ykgxw89f1HR3Op Shownotes: Lodge Tales Podcast: https://open.spotify.com/show/297OY0B4Of8Pc66SyiKa3C Lodge Tales Patreon https://www.patreon.com/c/u86352417/posts Lodge Tales website:https://lodge-tales.beam.ly/ Rod's TikTok: https://www.tiktok.com/@lodgetales⁠⁠r=1&⁠⁠t=ZT-92ARLTHliJB⁠ Rod's recommendations on TikTok: "The top 2 links are Venita and Shy. They're known as the Whisper Sisters and they are Dinè. The Live (ghost story session) they do is the Midnight Cedar Society. It's a really good indigenous ghost story gathering of Native Americans. You can follow either of these ladies and check their pages for upcoming Lives they are conducting." https://www.tiktok.com/@veegarcia14r=1&t=ZT-92ARGCQ3pah https://www.tiktok.com/@shyrapocor=1&t=ZT-92ARIhvzLq3 In the intro: Winter sound effect by Sound Effect by DARRYLL DAVID BELIRAN from PixabayVideo by Nils Vega from Pixabay (some owl-eared members might recognise a line written by my dear friend Fox which I reworked as: 'To those who dare to seek, the darkness brings the brightest of knowing'). I know he would approve

Step away from the noise of the world and burrow into a sanctuary of iridescent snow and absolute safety with this cozy guided sleep meditation. Welcome the sweet surrender of hibernation, where you are cozy and safe to rest. Sink into the warmth of your inner burrow as the 'Snowflakes of Hope' guide you into a deep and certain sleep. It's time to dream away.Original Script, Narration, Production, and Sound Design by Michelle Hotaling, Dreamaway Visions LLC 2025 All Rights Reserved✨YOUTUBE: www.youtube.com/michellessanctuary

Snow begins high in the clouds when tiny water droplets freeze around dust particles. As more water vapor freezes onto these particles, they grow into crystals. The temperature and humidity shape each crystal into a unique snowflake. Most snowflakes have six sides because of the way water molecules connect. When many crystals stick together, they become the soft flakes we see falling from the sky. Discover the science behind winter's most magical creation.

We review the results from SentinelOne (S) and Snowflake (SNOW) and predict which stock is more likely to record profits first. We also take a critics-eye view of the Netflix-Warner Bros. deal amid Paramount's hostile counter offer. Rick Munarriz, Sanmeet Deo, and Tim Beyers: - Review last week's results from SentinelOne and Snowflake. - Predict which of the two will reach GAAP profitability first. - Give a critics choice take on the Netflix-Warner Bros deal, including some thoughts on Paramount's just-launched hostile takeover. Companies discussed: S, SNOW, NFLX, WBD, PSKY Host: Tim Beyers Guests: Rick Munarriz, Sanmeet Deo Producer: Anand Chokkavelu Engineer: Dan Boyd Disclosure: Advertisements are sponsored content and provided for informational purposes only. The Motley Fool and its affiliates (collectively, “TMF”) do not endorse, recommend, or verify the accuracy or completeness of the statements made within advertisements. TMF is not involved in the offer, sale, or solicitation of any securities advertised herein and makes no representations regarding the suitability, or risks associated with any investment opportunity presented. Investors should conduct their own due diligence and consult with legal, tax, and financial advisors before making any investment decisions. TMF assumes no responsibility for any losses or damages arising from this advertisement. We're committed to transparency: All personal opinions in advertisements from Fools are their own. The product advertised in this episode was loaned to TMF and was returned after a test period or the product advertised in this episode was purchased by TMF. Advertiser has paid for the sponsorship of this episode. Learn more about your ad choices. Visit ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠megaphone.fm/adchoices Learn more about your ad choices. Visit megaphone.fm/adchoices

Come sit with me for a quiet moment while we make these big paper-bag snowflakes together ❄️ it's simple, cozy, and just the kind of slow holiday craft that feels good for the soul. :) ♥ Happy Holidays! I hope this season brings you warmth, ease, and a few gentle moments just for you.Amazon Storefront https://www.amazon.com/shop/gentlewhisperingAmazon Mp3 https://www.amazon.com/s/ref=ntt_srch_drd_B01BAXDICM?ie=UTF8&field-keywords=GentleWhispering&index=digital-music&search-type=ss YouTube Mp3 https://music.youtube.com/channel/UCAYaoy-i0_bTnd9yzzDMkhw Spotify Mp3 https://play.spotify.com/artist/3gkB9Cdx4UuWQxjhelyd87?play=true&utm_source=open.spotify.com&utm_medium=open iTunes Mp3 https://itunes.apple.com/us/artist/gentlewhispering/id1077570705#see-all/top-songshttps://itunes.apple.com/us/artist/maria-gentlewhispering/id1048320316PayPal (Donations, if you feel you need to give back) https://www.paypal.me/GentleWhisperingEmail: MariaGentlewhispering@gmail.com#ASMR #GentleWhispering