Podcasts about snowflakes

A tiny snowflake named Fable doesn't want to fall because she's afraid she won't matter. Through her journey, from cloud to ground, she discovers that every snowflake plays a role: decorating branches, bringing water to the earth, and bringing joy to children.Join Auntie Jo Jo for a magical winter story about a snowflake who isn't sure where she belongs. This heartwarming tale teaches kids about purpose, bravery, and the beauty of winter. Perfect bedtime story for December and winter holidays.

In this special Cloud Wars report, Bob Evans sits down with Michael Ameling, President and Chief Product Officer of SAP Business Technology Platform, for a deep dive into how SAP is helping customers navigate the fast-moving AI Era. Ameling and Evans discuss how SAP's Business Data Cloud, partnerships with Snowflake and Databricks, HANA Cloud innovations, and new AI-powered tools and agents are helping SAP evolve from an applications powerhouse into a data-and-AI-driven business platform for the next generation.SAP's AI Data FutureThe Big Themes:SAP HANA Cloud Becomes an AI-Optimized Database: SAP HANA Cloud is evolving into “the database AI was looking for." As a multi-model system supporting spatial, graph, vector, and document storage, HANA Cloud enables AI workloads to run more efficiently and contextually. Recent additions, like vector engines and Knowledge Graph capabilities, give customers powerful tools for retrieval-augmented generation (RAG), contextual reasoning, and advanced analytics.Developers Are 'The AI Revolution': Developers aren't observing the AI Revolution, they are the revolution. With modern AI tools, developers can innovate faster, solve bigger problems, and directly influence business outcomes. SAP is investing heavily in meeting developers where they are by enhancing IDEs, building business-aware development tools, and providing context-rich assets such as APIs, business objects, and process insights. AI acts as a teammate, not a replacement.SAP: An Applications and a Data Company: SAP must be both an applications and a data company. Customer value emerges when applications, data, and AI converge seamlessly. SAP's decades of industry expertise give it unparalleled business context, which becomes even more powerful when embedded into AI agents and data platforms. With more than 34,000 SAP HANA Cloud customers and rapidly expanding AI adoption, SAP is positioning itself as the platform where business process knowledge meets modern AI capability.The Big Quote: " . . what we need to understand that AI is our teammate. It's like asking your best friend who has a lot of knowledge, but you can ask multiple friends at the same time. Not everything is always right, but you can ask questions, you can continuously improve. If we understand that pattern, we understand that AI helps us to solve much bigger problems as a developer, and then, of course, having much more impact on real business."More from Michael Ameling and SAP:Connect with Michael Ameling on LinkedIn, or get more insights from SAP TechEd.  Visit Cloud Wars for more.

I speak to Robert in Slovakia who shares his family's encounter with a 'Magical Grandpa' encounter when he was seven years old.When a local woman at his school shared her own mystical encounters, it seemed to offer him an opportunity to understand the world in a very different way ⭐️ 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

Quinn comes to you LIVE from the Chicago suburbs to discuss liberal snowflakes, Even Stevens, and port wine

John McMahon is widely regarded as one of the greatest enterprise-software sales leaders of all time. He's the only person to have served as Chief Revenue Officer at five public software companies: PTC, GeoTel, Ariba, BladeLogic and BMC Software. He helped scale BladeLogic from a startup into a public company — ultimately leading to its ~$880M sale to BMC — and drove GeoTel into a multi-billion dollar acquisition. Today he sits on the boards of top names such as Snowflake and MongoDB, while also mentoring and influencing a who's-who of modern SaaS sales leaders. AGENDA: 03:33 The Art and Science of Sales: Insights from a Veteran 04:29 Adapting Sales Strategies in the Age of AI and PLG 07:47 The Ultimate Framework to do Deal Qualification 14:13 How to Drive Urgency and Maintain Sales Process 20:06 How to Hire the Best Sales Reps 25:11 Step-by-Step Guide to Training Sales Reps 45:22 The Mindset of the Best Sales Reps 54:55 Single Most Important Skill to Win in Sales  

Bloomberg Daybreak Weekend with Host Nathan Hager take a look at some of the stories we'll be tracking in the coming week. In the US – a look ahead to earnings from Crowdstrike, Snowflake, and Salesforce. In the UK – a look ahead to the seventh Milken Institute Middle East and Africa Summit. In Asia – a look ahead to whether Asia's Labubu toy has hit its peak. See omnystudio.com/listener for privacy information.

This week I had the pleasure of talking all things housewives with my friend Carlos J. Harris! Check out the visual on YouTube! We talked the recent Potomac/Atl arrests, Salt Lake City (the ladies are TAKING IT) and the girls down in the P (they are doing their jobs!) Let's GO! Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

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

We're talking about the revelatory powers of thirst! We discuss horniness as a way of engaging with the world and expanding our understanding of ourselves, thirst as bisexual personal practice, recreational desire as vulnerability, and the joy of communal thirsting. It's a lot of fun! Get the full episode by joining us on Patreon! ⁠⁠⁠https://www.patreon.com/thebipod⁠⁠⁠The Bi Pod is hosted by Evan Chelsee and Christina Brown. This episode was edited and produced by Evan Chelsee. Our theme song is Coming Home by Snowflake (c) copyright 2020 Licensed under a Creative Commons Attribution Noncommercial  (3.0) license.⁠⁠ ⁠http://dig.ccmixter.org/files/snowflake/61307⁠⁠⁠ Ft: Analog By Nature.

Welcome to a Special Episode of AI Unraveled: The Cost of Data Gravity: Solving the Hybrid AI Deployment Nightmare.We are tackling the silent budget killer in enterprise AI: Data Gravity. You have petabytes of proprietary data—the "mass" that attracts apps and services—but moving it to the cloud for inference is becoming a financial and regulatory nightmare. We break down why the cloud-first strategy is failing for heavy data, the hidden tax of egress fees, and the new architectural playbook for 2025.Source: https://www.linkedin.com/pulse/cost-data-gravity-solving-hybrid-ai-deployment-nightmare-djamgatech-ic42cStrategic Pillars & Topics

Joe on LinkedIn (https://www.linkedin.com/in/joemasilotti/) Joe's Blog (https://masilotti.com/about/) Joe on X (https://x.com/joemasilotti) Alice for Snowflake (https://alice.dev/alice-snowflake/) Mike on X (https://x.com/dominucco) Mike on BlueSky (https://bsky.app/profile/dominucco.bsky.social) Coder on X (https://x.com/coderradioshow) Show Discord (https://discord.gg/k8e7gKUpEp) Alice & Custom Dev (https://alice.dev) Mike's Recent Omakub Blog Post (https://dominickm.com/omakhub-review/)

In today's Tech3 from Moneycontrol, we break down the government's big labour code update that mandates IT salaries be paid by the 7th of every month. We also dive into the blockbuster year for VCs with Rs 15,000 crore in IPO exits, Meesho's $5.9 billion listing plans, and an exclusive with Uniphore CEO Umesh Sachdev on why AI rivals NVIDIA, AMD, Snowflake and Databricks invested together. Plus, Groww's first results post-IPO reveal profit up but revenue dipping.

What does it take to evolve IT into a forward-looking innovation engine? Mike Blandina, CIO of Snowflake, shares how he’s reimagined IT as “Enterprise Technology” as a way to describe what ‘IT’ really does: lead a solutions-first mindset at Snowflake designed for the AI era. In this conversation, Mike reflects on his first eight months leading tech at one of the world's most AI-forward data cloud companies. Key highlights include: The philosophy behind the Enterprise Technology rebrand Building Raven and RevOps—AI agents replacing 250+ dashboards The Customer Zero model for product influence Governance and localization strategies for responsible AI Redefining staff models to include digital agents

In this special episode of Run the Numbers, CJ Gustafson records live from Campfire's AI Finance Forward conference in San Francisco, serving up a trio of rapid-fire interviews with top-tier finance leaders. First, Daniel Kang, CFO of Mercury, breaks down the quality of fintech revenue streams, the mechanics of float in a falling rate environment, and what investors really value. Then, Brad Floering, SVP of Finance at Snowflake, shares war stories on usage-based pricing, forecasting consumption, and the role of AI in modern FP&A. Finally, Mitzi Yue of Boulder Care brings a mission-driven perspective, reflecting on dual roles in finance and culture, career product-market fit, and the ethical frontier of AI in healthcare. It's a fast, thoughtful taste of where modern finance is headed.—LINKS:Daniel Kang on LinkedIn: https://www.linkedin.com/in/dmkang/Mercury: https://mercury.com/Brad Floering on LinkedIn: https://www.linkedin.com/in/brad-floering/Snowflake: https://www.snowflake.com/Mitzi Yue on LinkedIn: https://www.linkedin.com/in/mitziyue/Boulder Care: https://www.boulder.care/CJ on LinkedIn: https://www.linkedin.com/in/cj-gustafson-13140948/Mostly metrics: https://www.mostlymetrics.com—RELATED EPISODES:Grindr's $0 CAC Secret from the CFO Who Launched Disney+ | Vanna Krantzhttps://youtu.be/ijFIMmtpLNw—TIMESTAMPS:00:00:00 Preview and Intro00:04:03 Sponsors – Fidelity Private Shares, Metronome, Mercury00:06:49 Guest – Daniel Kang (Mercury) joins00:07:55 Lessons from being first finance hire00:10:49 Finance collaborating on product decisions00:13:12 Comparing customer segments and revenue models00:16:58 Sponsors – Right Rev, Tipalti, Aleph00:21:11 Market shift for consumer fintech models00:23:14 Balancing gross profit with product growth00:24:41 Misconceptions about fintech revenue00:26:57 Guest – Brad Floering (Snowflake) joins00:30:22 Aligning pricing with cloud resource consumption00:33:17 Forecasting challenges with usage-based revenue00:35:06 Complexity of sales commissions under consumption model00:38:23 Lessons from AWS: committing for discounts00:41:16 Cold start forecasting challenges and the role of employee size00:44:01 Customer behavior and rollover credit challenges00:47:08 Using professional services to recover unused credits00:49:05 Seasonality and forecasting challenges in Q400:54:16 Guest – Mitzi Yue (Boulder Care) joins00:57:05 The pandemic's impact on telemedicine adoption01:00:33 Finance decisions with human consequences in healthcare01:02:26 Finding personal product-market fit in Series B/C stage01:03:33 Finance as the central nervous system of the company01:07:10 Nonprofits inspired by personal values and experience01:10:52 Exploring AI's potential in healthcare and finance—SPONSORS:Fidelity Private Shares is the all-in-one equity management platform that keeps your cap table clean, your data room organized, and your equity story clear—so you never risk losing a fundraising round over messy records. Schedule a demo at https://www.fidelityprivateshares.com and mention Mostly Metrics to get 20% off.Metronome is real-time billing built for modern software companies. Metronome turns raw usage events into accurate invoices, gives customers bills they actually understand, and keeps finance, product, and engineering perfectly in sync. That's why category-defining companies like OpenAI and Anthropic trust Metronome to power usage-based pricing and enterprise contracts at scale. Focus on your product — not your billing. Learn more and get started at https://www.metronome.comMercury is business banking built for builders, giving founders and finance pros a financial stack that actually works together. From sending wires to tracking balances and approving payments, Mercury makes it simple to scale without friction. Join the 200,000+ entrepreneurs who trust Mercury and apply online in minutes at https://www.mercury.comRightRev automates the revenue recognition process from end to end, gives you real-time insights, and ensures ASC 606 / IFRS 15 compliance—all while closing books faster. For RevRec that auditors actually trust, visit https://www.rightrev.com and schedule a demo.Tipalti automates the entire payables process—from onboarding suppliers to executing global payouts—helping finance teams save time, eliminate costly errors, and scale confidently across 200+ countries and 120 currencies. More than 5,000 businesses already trust Tipalti to manage payments with built-in security and tax compliance. Visit https://www.tipalti.com/runthenumbers to learn more.Aleph automates 90% of manual, error-prone busywork, so you can focus on the strategic work you were hired to do. Minimize busywork and maximize impact with the power of a web app, the flexibility of spreadsheets, and the magic of AI. Get a personalised demo at https://www.getaleph.com/run—#RunTheNumbersPodcast #FintechStrategy #UsageBasedPricing #HealthcareFinance #AIinFinance This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit cjgustafson.substack.com

Snowflakes

This is the morning All Local update for November 19, 2025.

In this CRO Spotlight episode, host Warren Zenna sits down with Steven Birdsall, CRO at Alteryx, to unpack a sweeping leadership transition and how a newly formed C‑suite aligned on product and go‑to‑market. Steven shares how a product‑centric CEO and a servant‑leader CRO combine to create clarity of mandate, performance culture, and human‑first execution across sales, CS, partners, and solutions engineering.The conversation dives deep into Alteryx's evolution from workflows feeding BI to becoming the governed “canvas” for AI and agent use cases. Steven explains how business users can blend structured and unstructured data, enforce governance and access controls, and then safely bring LLMs into the same environment—pushing compute down to cloud data platforms like BigQuery, Databricks, and Snowflake.For CROs, Steven details practical AI operationalization: SDR personalization at scale, three‑dimensional agents trained on company knowledge, and revenue insights built directly on internal data. He outlines how to raise sales efficiency without scaling opex linearly, and why fast experimentation with new AI tools is now core to modern GTM orchestration.Steven closes with hiring and leadership principles for today's CRO: prioritize grit, perseverance, and customer centricity over pedigree; remove roadblocks for the field; and mentor generously. He shares how to balance data‑driven rigor with empathy, build alignment with marketing regardless of reporting lines, and stay entrepreneurial—even inside a large, complex organization.

This week on The Audit Podcast, we're joined by three members of Snowflake's internal audit team: Amrita, Pooja, and Ajay.   Amrita Kapoor, Head of Internal Audit at Snowflake, walks us through how their team is using Snowflake's native tools to build practical analytics and AI solutions. She shares several real use cases their internal audit function has deployed—many of which Snowflake customers can replicate with the tools they already have.   We're also joined by Pooja K., who takes us inside the AI tool she built for the audit team. And here's the part that might surprise you: Pooja has no technical background—no analytics, no IT, no engineering—and yet she built her AI solution in a single evening. She breaks down exactly how she approached it, what she created, and why auditors without a tech background should feel empowered to start experimenting.   Finally, Ajay R., Internal Audit Manager at Snowflake, walks through additional AI and data analytics use cases their team has implemented, highlighting what's possible when internal audit fully leverages Snowflake's capabilities.   Also, be sure to follow us on our social media accounts on LinkedIn, Instagram, and TikTok.   Also be sure to sign up for The Audit Podcast newsletter and to check the full video interview on The Audit Podcast YouTube channel.   Timecodes:   4:38 - Snowflake: Team Introductions 14:08 - Leveraging Data Analytics for ITGCs 20:07 - Testing Termination Controls 24:16 - Strengthening Collaboration Between Internal and External Audit 27:46 - How AI Is Shaping Resources and Hiring 30:17 - Final Thoughts   *   This podcast is brought to you by Greenskies Analytics, the services firm that helps auditors leap-frog up the analytics maturity model. Their approach for launching audit analytics programs with a series of proven quick-win analytics will guarantee the results worthy of the analytics hype.  Whether your audit team needs a data strategy, methodology, governance, literacy, or anything else related to audit and analytics, schedule time with Greenskies Analytics.  

We've all heard about the avalanche, the snowball, and maybe even the snowflake method for paying off debt… but which one actually works best in real life?In this episode, Jonathan and Amanda go back to their own story of paying off about $25,000 of debt in just 7.5 months and break down the three major debt payoff strategies—what they promise, where they fall short, and why the method you choose matters more than you think.You'll hear:❄️ Debt Avalanche – the mathematically “optimal” approach that often fails real human behavior❄️ Debt Snowflake/Flurry – lots of motion, not much progress❄️ Debt Snowball – the method they used, and why those early wins were crucialPlus how they now teach a deeper, more strategic version called Stack & Attack inside the Catholic Money Academy.If you're feeling overwhelmed, ashamed, or just stuck with your debt, this episode will help you choose a strategy you'll actually stick with—so you can finally make the progress you've been praying for.Explore Catholic Money Academy:https://walletwin.com/academy/

The Early Days of Photography: Insights from Anika Burgess Discover the fascinating stories behind early photography, from Anna Atkins' cyanotypes to the Daguerre‑Talbot rivalry, women's hidden studios, and the first surveillance photos of suffragettes—highlights from Anika Burgess' interview on the “10 Frames Per Second” podcast.  The “10 Frames Per Second” podcast is a go‑to resource for anyone interested in photojournalism history, yet this particular episode dives deep into the origins of photography itself. If you're a photographer, educator, historian, or simply a curious visual storyteller, the episode offers insights and details from technical to social, on the rise of photography Meet Anika Burgess – Photo Historian & Author Title: Photo editor, writer, and author of Flashes of Brilliance: The Genius of Early Photography and How It Transformed Art, Science, and History (W.W. Norton). Background: History & Law degrees, early career at Penguin Books (Modern Classics), later freelance photo‑researcher. Passion: Uncovering hidden stories—especially of women, scientists, and “oddball” characters—in the birth of photography. From Law School to Photo Editing Anika's journey is a reminder that career pivots can lead to groundbreaking work: Law → Photo Editing: A short course in photo research opened the door to a role at Penguin's Modern Classics series. On‑the‑Job Learning: She describes freelance work as an “accelerated masterclass” in assigning, commissioning, and archival research. Teaching Lens: As a photo‑history instructor, Anika emphasizes the value of primary sources—old photo journals, newspapers, and diaries. Pioneers of Early Photography Anna Atkins & the First Photo Book Who: English botanist & cyanotype pioneer. Milestone: Created Photographs of British Algae: Cyanotype Impressions (1843), the first photographic book—and made by a woman. Rediscovery: Mis‑attributed as “AA” until the 1970s when Larry Scharf revived her story. Women Photographers in the 1840s‑1850s Studio Advertisements: Journals show Miss Wigley and others openly marketing portrait studios. Color Tinting: Una Howard promoted women's employment in hand‑tinting photographs, even establishing a school for the craft. Editorial Debates: Early photo‑journals featured heated arguments about photography's purpose—art vs. science—with women actively contributing. Surprising Finds in the Archives Skin & Nail Prints: Some 19th‑century journals reported people printing photographs onto their own skin or fingernails. Psychic Photography: Experiments aimed to capture thoughts, dreams, or “effluvia”—the supposed visual aura of a soul. X‑Ray Curiosities: Early images of snakes, crayfish, and snowflakes (thanks to Wilson Bentley) showed how photography became a tool for scientific discovery. Early Photography: The Daguerre vs. Talbot Rivalry Aspect Louis Daguerre William Henry Fox Talbot Process Daguerreotype (metal‑silver plate) Calotype (paper negative → positive) Business Model Government‑funded French pension → free public release Aggressive patent enforcement, licensing fees Impact Dominated the first decade, especially in France and England Laid groundwork for modern negative/positive workflow, but hindered by patents Anika notes that Talbot's patents slowed adoption, while Daguerre's state‑backed release accelerated his method's popularity—an early example of how capitalism shapes technology diffusion. Early Photography Chemical Hazards & “You‑Tube‑Free” Learning Deadly Substances: Cyanide, mercury, and strong acids were common in darkrooms. No Antidotes: For cyanide, there was no effective remedy, underscoring the danger. Community Knowledge: Early photo clubs circulated “antidote tables”—precautions rather than cures. “There were no textbooks, no YouTube tutorials—just trial, error, and sometimes tragedy.” – Anika Science Meets Art: X‑Rays, Snowflakes & Psychic Photography X‑Ray Explorations (1890s): Photographs of snakes and crayfish revealed anatomy unseen by the naked eye. Wilson Bentley (Vermont): Captured over 5,000 snowflake images using a microscope—blending meteorology and artistry. Effluvia Photography: Early attempts to photograph the “spirit” of a person, predating modern AI‑generated ethereality. Early Surveillance: The Suffragette Photo‑Ops Arthur Barrett's Top‑Hat Camera (1908): Secretly photographed suffragists inside a London courtroom. He even coughed to mask the shutter sound. Government Commission: The British Home Office later hired Barrett to take long‑lens photographs of suffragists in Holloway Prison. Legacy: This marks one of the first documented uses of photography for covert surveillance—a precursor to today's CCTV debates. Lessons for Modern Photojournalists Transparency Matters: Early manipulators like Oskar Rieslander openly disclosed composite techniques—mirroring today's call for AI‑generated image labeling. Innovation Stems from Limits: Nadar's underground catacomb portraits show how technical constraints spark creative solutions. Community Sharing Wins: Photo clubs of the 19th century were the original knowledge‑exchange platforms—modern equivalents are online forums, workshops, and open‑source libraries. What's Next for Anika? After a seven‑year labor of love, Anika hints at a potential sequel covering 1910‑present—a period that includes modernist photography, wartime photojournalism, and the digital revolution. She's also considering shorter books focused on women pioneers and photographic chemistry. Quick Takeaways Anna Atkins wrote the first photographic book, and women have been key players since the 1840s. Daguerre's free release vs. Talbot's patents illustrates how policy shapes tech adoption. Early photographers faced real chemical dangers—no antidotes for cyanide, mercury, or acids. Surveillance photography began with suffragist courtroom shots, foreshadowing modern privacy concerns. Transparency in image manipulation is a historic constant, now relevant in the age of AI. Frequently Asked Questions Question Answer Where can I find Anna Atkins' cyanotype collection? The New York Public Library hosts a fully digitized archive online. Is the “top‑hat camera” video still available? Yes—search “suffragist reunion British Pathé” on YouTube. What was the first photo‑journalistic use of a hidden camera? Arthur Barrett's 1908 courtroom photos of suffragists. How did early photographers tint images? Women like Una Howard hand‑colored prints using water‑based pigments; later, labs introduced mechanical tinting. Can I listen to the full podcast episode? New episodes drop every Tuesday on 10fps.net and all major podcast platforms. Final Thoughts Anika Burgess' conversation on “10 Frames Per Second” proves that the early history of photography is far from a static timeline—it's a vibrant tapestry woven by inventors, women entrepreneurs, scientists, and activists. Understanding this past not only enriches our appreciation of current visual culture but also equips today's photojournalists with perspective on ethics, innovation, and the ever‑present tension between art and science. Ready to dive deeper? Grab a copy of Flashes of Brilliance, explore the NYPL digital collections, and let the stories of Anna Atkins, Una Howard, and Arthur Barrett inspire your next visual project. For more on “ghost” photography and William Mumler, check out our past episode with Peter Manseau, author of a book The Apparitionists, exploring Mumler’s creations. Keywords: early photography, history of photography, women photographers, Anna Atkins, Daguerre vs Talbot, photojournalism history, photographic chemistry hazards, X‑ray photography, suffragette surveillance, photo manipulation early, 10 Frames Per Second podcast ________ photojournalism, early photography, Anna Atkins, cyanotype, women photographers, Julia Margaret Cameron, Nadar, Daguerre, William Henry Fox Talbot, X‑ray photography, Wilson Bentley (snowflake photography), spirit photography, psychic photography/effluviography, photo manipulation, suffragette surveillance photography, top‑hat hidden camera, dry‑plate process, wet collodion process, chemical hazards in photography (cyanide, mercury), 1840s women‑run photo studios, hand‑tinting (colorizing photographs), archival research (NYPL, Met), Penguin Modern Classics photo editing, photographic patents and licensing, darkroom safety, early photo journals and newspapers, mechanical vs artistic classification in exhibitions, scientific photography, photography‑and‑art debate, early photographic portrait experience.The post Episode 167: Anika Burgess (Early Photography) first appeared on 10FPS A Photojournalism Podcast for Everyone.

In today's Cloud Wars Minute, I explore how tech rivals are becoming collaborators to better serve customer innovation.Highlights00:43 — I call SAP and Snowflake's recent announcement a promiscuous partnership that's powerful and promising. I'll try not to trip over too many more P's here, but I think the point of this is we're seeing the promiscuous side: big tech companies that, you know, were very selective about how they worked with each other in the past.01:04 — I think now we're seeing that there are great advantages toward them aligning in ways — working together to do things for customers that neither could do individually. I think the ultimate example of this is the Oracle multicloud deals with Microsoft, Google Cloud, and AWS. So, in this case here, now we see both SAP and Snowflake are in the data cloud space.02:04 — This could have been a situation where SAP and Snowflake might have said: "I have a Data Cloud. You have one. We're going to compete" — but the result would be — “We're going to make customers' lives more miserable, because to work with both the SAP Data Cloud and the Snowflake Data Cloud, those customers are going to have to find workarounds and ways to integrate and all that.” Instead, they said, “Let's try to do this together.”03:00 — Some highlights: it accelerates customer innovation because they can spend more time focusing on business innovation, growth, and new business models, rather than a lot of expense on integration. The two companies, Snowflake and SAP, have intertwined their brands, which I think reveals to customers a very powerful commitment. This solution is called SAP Snowflake.03:55 — The AI revolution has put all sorts of new and interesting, challenging stresses on customers, right? And on the Cloud Wars Top 10 vendors: it can't just be business as usual for customers. The tech vendors have to operate differently — not just in the products they create but in the alliances they strike.04:46 — I tip my hat to Snowflake and SAP, and I think we're going to be seeing lots more of these promiscuous partnerships break out as the needs of the AI Revolution require customers to do things differently — which, in turn, compels the Cloud Wars Top 10 companies to behave in different ways. Visit Cloud Wars for more.

In this episode, Erin Foxworthy of Snowflake joins the podcast to discuss the future of media and advertising, including the importance of first-party data, governance and privacy, and the role of AI in modernizing marketing infrastructure. The Erin, Kyle and Lorel also delve into democratizing data, common organizational challenges around measurement, and how to leverage cloud technology for faster, more governed, and collaborative insights. Thanks for listening! Follow us on Twitter and Instagram or find us on Facebook.

Fluent Fiction - Danish: When Snowflakes Fall: A Mother's Journey to Help Her Daughter Find the full episode transcript, vocabulary words, and more:fluentfiction.com/da/episode/2025-11-18-23-34-02-da Story Transcript:Da: Det var en kølig eftermiddag i november.En: It was a chilly afternoon in November.Da: Bladene dansede langs vejen, hvor små nisser i butiksvinduerne mindede folk om, at julen nærmede sig.En: The leaves danced along the road, where small nisser in shop windows reminded people that Christmas was approaching.Da: Maja kørte langsomt i sin bil gennem den moderne forstad, hvor lyset glimtede fra de pyntede huse og skolen, som lå i hjertet af nabolaget.En: Maja drove slowly in her car through the modern suburb, where the light twinkled from the decorated houses and the school, which lay at the heart of the neighborhood.Da: Maja var bekymret.En: Maja was worried.Da: Sofie, hendes datter, havde ikke været sig selv på det sidste.En: Sofie, her daughter, hadn't been herself lately.Da: Sofie var altid stille, men nu trak hun sig endnu mere.En: Sofie was always quiet, but now she was withdrawing even more.Da: Skolen?En: School?Da: Vennerne?En: Friends?Da: Eller bare det almindelige pres?En: Or just the ordinary pressure?Da: Maja kunne ikke helt finde ud af det.En: Maja couldn't quite figure it out.Da: Samtidig var Majas kalender fyldt til randen med deadlines, men hun besluttede sig alligevel for at tage tid fra arbejdet til at deltage i forældremødet.En: Meanwhile, Maja's calendar was filled to the brim with deadlines, but she decided to take time away from work to attend the parents' meeting.Da: Skolen var et farvestrålende sted.En: The school was a colorful place.Da: På opslagstavlerne hang der julekalendere og beskeder om den kommende julekoncert.En: On the bulletin boards hung advent calendars and messages about the upcoming Christmas concert.Da: Maja gik hurtigt gennem gangene, mens hun strammede frakken tættere om sig.En: Maja walked quickly through the halls, pulling her coat tighter around her.Da: I klasseværelset blev hun mødt af Lars, Sofies lærer.En: In the classroom, she was greeted by Lars, Sofie's teacher.Da: Lars var ung, entusiastisk og altid smilende.En: Lars was young, enthusiastic, and always smiling.Da: "Hej Maja," hilste han venligt, da hun trådte ind.En: "Hi Maja," he greeted kindly as she stepped in.Da: "Tak fordi du kom."En: "Thank you for coming."Da: Maja satte sig ned og tog en dyb indånding.En: Maja sat down and took a deep breath.Da: "Jeg er bekymret for Sofie," sagde hun.En: "I'm worried about Sofie," she said.Da: "Hun virker ikke glad for tiden."En: "She doesn't seem happy lately."Da: Lars nikkede forstående.En: Lars nodded understandingly.Da: "Jeg har også lagt mærke til, at hun er blevet mere tilbagetrukket i klassen," sagde han.En: "I've also noticed she's become more withdrawn in class," he said.Da: "Men jeg tror, vi kan hjælpe hende sammen."En: "But I think we can help her together."Da: I det øjeblik åbnede døren, og Sofie trådte ind.En: At that moment, the door opened, and Sofie stepped in.Da: Hun satte sig forsigtigt ved siden af Maja og så op på læreren.En: She sat carefully next to Maja and looked up at the teacher.Da: "Jeg føler mig presset," sagde hun pludselig.En: "I feel pressured," she suddenly said.Da: "Opgaverne.En: "The assignments.Da: Vennerne.En: The friends.Da: Alt er bare meget."En: Everything is just a lot."Da: Maja følte en bølge af følelser.En: Maja felt a wave of emotions.Da: "Vi vil gerne hjælpe," sagde hun blidt.En: "We want to help," she said gently.Da: Lars bøjede sig frem og sagde: "Vi kan lave en plan.En: Lars leaned forward and said, "We can make a plan.Da: Måske kan Sofie få en mentor i klassen?En: Maybe Sofie can get a mentor in the class?Da: Og vi kan fokusere på de emner, du synes er svære."En: And we can focus on the subjects you find difficult."Da: De tre blev enige om en plan, som gav Sofie mere støtte både derhjemme og i skolen.En: The three agreed on a plan that would give Sofie more support both at home and at school.Da: Lars ville holde et særligt øje med hende, mens Maja ville sørge for, at hendes datter følte sig hørt og værdsat.En: Lars would keep a special eye on her, while Maja would ensure that her daughter felt heard and appreciated.Da: På vej ud af skolen følte Maja sig lettere.En: On the way out of the school, Maja felt lighter.Da: Hun indså, hvor vigtigt det var at være til stede i Sofies liv, og hvordan små ændringer kunne skabe en stor forskel.En: She realized how important it was to be present in Sofie's life and how small changes could make a big difference.Da: Sofie virkede også mere afslappet ved tanken om, at hun ikke var alene.En: Sofie also seemed more relaxed at the thought that she wasn't alone.Da: Efterhånden som de gik mod deres bil, begyndte de første snefnug at falde stille ned.En: As they approached their car, the first snowflakes began to fall quietly.Da: "Vi klarer det," sagde Maja med et smil, og Sofie nikkede, mens lyset fra julelysene dansede om dem.En: "We'll manage," Maja said with a smile, and Sofie nodded, while the light from the Christmas lights danced around them. Vocabulary Words:chilly: køligleaves: bladeneapproaching: nærmede sigsuburb: forstadtwinkled: glimtedeworried: bekymretwithdrawing: trak sigfigure: finde ud afdeadline: deadlineattend: deltagecolourful: farvestrålendebulletin: opslagstavlerneadvent calendar: julekalenderconcert: koncertgreeted: hilsteenthusiastic: entusiastiskwithdrawn: tilbagetrukketassignments: opgavernepressured: pressetleaned: bøjedementor: mentorsubjects: emnersupport: støtteensured: sørge forlightweight: letpresence: til stederealized: indsåchanges: ændringerdifference: forskelsnowflakes: snefnug

In early childhood, Breanna became used to the presence of 'The Hat Man' - an increasingly-reported shadow-being. Recognisable as a tall, dark figure wearing a hat, and sometimes a cape or trench coat the Hat Man is often said to be without any distinguishable facial features and like 'The Dark Man', people describe him as "blacker than black."In the full length version on Patreon Breanna describes her aunt's encounter with a white lady on a bridge, folk magic in her community and what happened when her father visited a 'granny witch' The Hatman Project is full of stories from people who have also encountered The Hat Man.https://thehatmanproject.com/ ⭐️ 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

In this special episode of Cloud Wars Live, Bob Evans speaks with Chad Wahlquist, Architect at Palantir, about the company's explosive Q3 growth and the accelerating adoption of its AI Platform (AIP). They explore how AIP serves as an operating system for the enterprise, enabling customers to achieve global optimization, faster ROI, and model flexibility. Wahlquist also talks about Palantir's open, interoperable architecture and its commitment to delivering value at speed, especially for customers in high-stakes, high-pressure environments.Operate Smarter, Not SlowerThe Big Themes:Speed to Value: Many companies still operate under the assumption that meaningful transformation requires multi‑year timelines (two to three years, sometimes more). Palantir is pushing the idea that you must deliver value in months, three to six months, rather than years. This shift is critical because when business markets move fast, and when competitive advantage erodes quickly, speed becomes a differentiator. If you wait for years, you may miss the window or be out‑paced.Interoperability and Ecosystem Integration: The platform isn't trying to lock you into a “box” you must keep your data in; it instead emphasizes plug‑in interoperability with systems you already have. Wahlquist mentions connectors, SDKs, APIs, and plug‑ins to partners like Snowflake, Databricks, SAP, NVIDIA. The concept: if you already have investment in some systems, don't throw them away; just connect them. This increases the speed to value and reduces friction.Ambition, Willingness to Operate in Crisis: Wahlquist points out they often engage with customers who are under pressure. These customers need value now, not two or three years out. Situations like supply chain disruption, plant outages, labor issues, etc., are real. This situational urgency forces companies to adopt architectures and partners that can deliver now. The takeaway: It's not enough to believe you'll transform in the future; transformation architecture must be built for today's fires.The Big Quote: “Our goal is really: how do we scale our customers and the outcomes they're delivering — not just the number of customers?"More from Chad and Palantir:Follow Chad on LinkedIn or get an overview of Palantir's Q3 in its letter to shareholders. Visit Cloud Wars for more.

Before heading off to BravoCon, Dylan is back for another whackadoodle-time journey through this week's Bravo news. First up, he discusses a viral clip from Special Forces: World's Toughest Test, which makes it clear that Gia Giudice didn't fall far from the tree. Then, he locks in for an important RHOSLC recap, because we need to figure out WTF happened on the flight from hell. Are Meredith and Lisa lying about bullying Britani? Could Mary hear all the way from her seat? And most importantly, which movies did Meredith watch on the flight? Much to unpack. Later, he covers RHOP's last day in Nevis, which features another confusing crashout from one of the newbies. Go to the BravoByBetches YouTube page to watch full length episodes every Tuesday: Youtube.com/@BravoByBetches Learn more about your ad choices. Visit megaphone.fm/adchoices

Wisdom AI sells to enterprise data teams, empowering them to deploy AI data analysts that automate analytics functions traditionally handled by human analysts. As a former Rubrik co-founder and Google search ranking engineer, Soham identified the analytics problem firsthand while scaling Rubrik from intuition-driven to data-driven operations. In this episode of Category Visionaries, Soham shares how four Rubrik alumni are building a category-defining solution in the data analytics space, the tactical insights from targeting mid-market accounts to optimize deal velocity and onboarding experience, and how AI buying committees shifted from experimental budgets in 2024 to gatekeepers requiring departmental champions in 2025. Topics Discussed: Leveraging mid-market focus to compress sales cycles while refining onboarding as core product differentiation The transition from gut-based decisions to data-driven operations and why analytics remains unsolved Taming LLMs for precision and explainability requirements in enterprise analytics contexts Strategic navigation of the data ecosystem following the FiveTran-DBT merger and positioning against Snowflake, Databricks, and cloud providers Overlaying product-led trial motions on enterprise sales to maintain momentum during extended procurement cycles AI committee evolution from 2024's experimental phase to 2025's security-focused consolidation mandate Pursuing 10x productivity gains versus incremental improvement in established analytics markets GTM Lessons For B2B Founders: Use mid-market to build onboarding velocity as moat: Rubrik deliberately targeted mid-market accounts despite being an enterprise product that closed eight-figure deals. This served two strategic purposes: compressed sales cycles enabled faster learning loops, and the necessity of quick onboarding forced the team to build exceptional admin experiences that became their primary differentiation. For B2B founders, mid-market isn't just easier logos—it's a forcing function for product refinement that creates competitive advantages when moving upmarket. Find problems through operational scar tissue, not market research: Wisdom AI originated when Soham tried moonlighting as engineering's data analyst during Rubrik's scaling phase and discovered he couldn't do it effectively. This wasn't a customer interview insight—it was firsthand recognition that even sophisticated technical leaders with dedicated focus couldn't wrangle data for operational decisions. The problem proved ubiquitous across every business leader optimizing top line, bottom line, and operations. B2B founders building for enterprises should prioritize pain points they've personally hit in operational contexts where existing solutions demonstrably failed them. Engineer time-to-value in minutes for PLG overlay on enterprise sales: Wisdom AI's experiential quality—users get excited when they try it, not when they see slides—creates PLG opportunity despite enterprise positioning. The critical difference: sales-led motions tolerate weeks to first value and build confidence through process, but self-serve requires hook-to-value in minutes with zero support. Soham's insight is using PLG not for credit card swipes but to maintain champion enthusiasm during lengthy procurement processes. B2B founders should architect trial experiences that deliver standalone value pre-data connection, creating internal advocates who sustain momentum through AI committee reviews. Treat ecosystem navigation as first-class GTM workstream: Wisdom AI's success depends on partnership execution with Snowflake, Databricks, and cloud providers—all potential competitors with their own AI initiatives. The FiveTran-DBT merger created immediate dynamic shifts requiring repositioning. Rather than viewing partnerships as business development, Soham frames ecosystem navigation as core GTM infrastructure requiring dedicated strategy and repeatable playbooks. B2B founders in platform-adjacent spaces should staff for partnership complexity early, recognizing that integration points and co-selling motions often determine market access more than direct sales capacity. Architect for AI committee gatekeepers with departmental executive sponsorship: The market fundamentally shifted from mid-2024's "experimental AI budgets, try everything" to 2025's centralized AI committees focused on security, tool consolidation, and preventing organizational wild west scenarios. Soham's tactical response: secure champions owning specific important departments who can navigate approval hierarchies while trial experiences maintain grassroots excitement. The implication for B2B AI founders—assumption of longer cycles, security scrutiny as table stakes, and explicit strategies for climbing from individual enthusiast to organizational deployment become non-negotiable enterprise sales requirements. // Sponsors: Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. www.FrontLines.io The Global Talent Co. — We help tech startups find, vet, hire, pay, and retain amazing marketing talent that costs 50-70% less than the US & Europe. www.GlobalTalent.co // Don't Miss: New Podcast Series — How I Hire Senior GTM leaders share the tactical hiring frameworks they use to build winning revenue teams. Hosted by Andy Mowat, who scaled 4 unicorns from $10M to $100M+ ARR and launched Whispered to help executives find their next role. Subscribe here: https://open.spotify.com/show/53yCHlPfLSMFimtv0riPyM

Lative, the AI sales planning platform for sales and go-to-market teams, has announced it has raised $7.5 million in funding to boost product development and expand its go-to-market. The round, co-led by Act Venture Capital and Senovo VC, has also been backed by Elkstone, Enterprise Ireland, WestWave Capital, Handshake Ventures and Shuttle. Among customers utilising the platform already for more precise sales planning are Seismic, Intercom, Aiven, Avalara and Version 1. Lative helps companies understand their sales data and invest resources where they'll have the greatest impact. Instead of juggling multiple sheets, models and disconnected tools, Lative unifies the sales planning process in one cloud-based platform by connecting top-down targets and quota plans with bottom-up sales productivity and capacity. Teams can model and simulate future org designs to have the most effective sales team for achieving revenue goals, adjust plans in real time, and gain clear visibility into sales productivity and efficiency through AI Insights. This allows them to make smarter hiring and investment decisions based on data rather than assumptions, identify risks and opportunities before they impact revenue, and track execution with confidence. Lative was launched in 2022 by industry veterans Werner Schmidt and Laura Tortosa Sancho, bringing together over 32 years of senior operations experience from Sage, Citrix, and Deloitte. They recognised a common pain point: manual, fragmented sales planning that lacks real-time visibility and tracking execution. Frustrated by high-performing teams wasting time on outdated spreadsheets and models, Werner and Laura created Lative to deliver real-time sales intelligence and automated planning with AI. For end users, this means smarter planning, instant insights, and the ability to make faster, better decisions with customers seeing up to 24% increases in sales productivity across segments. "We saw the same issue over and over again, in every company we worked in - sales planning was slow, manual, and stuck in spreadsheets," said Werner Schmidt, Co-Founder and CEO of Lative. "We built Lative to change that, and to give sales teams real-time visibility and confidence so every decision is informed, not guessed in this critical activity for go to market organisations. Every sales organisation needs to plan and track execution, and it's mainly done in spreadsheets today. Now there's a better way." The sales performance management market, valued at over $2.3 billion in 2023, is projected to exceed $7 billion by 2030, showing the demand for solutions that automate and optimise sales execution. In just 15 months, Lative has achieved 10x growth, a clear sign of the demand for such a product. The company was recently ranked second to Salesforce on G2's Sales Planning Grid. Lative has also forged strategic integration partnerships with data platform leaders Salesforce, HubSpot, and Snowflake to enable seamless data sharing for revenue teams. "Lative is driving a paradigm shift to sales planning and optimisation teams that is long overdue. By helping teams identify what's working and what isn't in real-time, problems are identified before they become too large to manage," said Dr. Alexander Buchberger, Partner at Senovo. "RevOps leaders love Lative when they see it. New AI Consumption models now need better tooling to manage complexity. Lative helps industry leaders like Seismic, Intercom and Version 1 see true sales productivity and capacity in real-time to deliver efficient growth. Werner, Laura, and their team are defining a new category with an exciting AI roadmap." said Andrew O'Neill, Principal at Act. "Lative allows us to see our productive sales capacity in real-time which is fundamental to how we scale the business and invest in the right areas to accelerate growth." said Mathieu Cognac, Vice President of Revenue Operations at Seismic. See more stories here. More about Irish Tech News Irish Tech News are...

One little snowfall and ICE is suddenly leaving Chicago for warmer climes. Ben riffs. Kalman Resnick explains the legal fight he's waging on behalf of Chicagoans swept off the street by ICE's masked and armed goon squad. Most notably, his case on behalf of Ruben Torres Maldonado, whose daughter is undergoing cancer treatment. And Diana Santillana Galeano, the teacher snatched from a north side daycare center. These fights are in the courts but the larger struggle is at the ballot box. Kalman is a lawyer in Chicago.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Waymo's VP of Research, Drago Anguelov, joins Practical AI to explore how advances in autonomy, vision models, and large-scale testing are shaping the future of driverless technology. The conversation dives into the dual challenges of building an onboard driver and testing that driver (via large scale simulation). Drago also gives us an update on what Waymo is doing to achieve intelligent, real-time performance while ensuring proven safety and reliability.Featuring:Drago Anguelov – LinkedInChris Benson – Website, LinkedIn, Bluesky, GitHub, XDaniel Whitenack – Website, GitHub, XLinks:Waymo ResearchNew Insights for Scaling Laws in Autonomous DrivingAI in MotionSponsors: Outshift by Cisco - The open source collective building the Internet of Agents. Backed by Outshift by Cisco, AGNTCY gives developers the tools to build and deploy multi-agent software at scale. Identity, communication protocols, and modular workflows—all in one global collaboration layer. Start building at AGNTCY.org.Shopify – The commerce platform trusted by millions. From idea to checkout, Shopify gives you everything you need to launch and scale your business—no matter your level of experience. Build beautiful storefronts, market with built-in AI tools, and tap into the platform powering 10% of all U.S. eCommerce. Start your one-dollar trial at shopify.com/practicalaiFabi.ai - The all-in-one data analysis platform for modern teams. From ad hoc queries to advanced analytics, Fabi lets you explore data wherever it lives—spreadsheets, Postgres, Snowflake, Airtable and more. Built-in Python and AI assistance help you move fast, then publish interactive dashboards or automate insights delivered straight to Slack, email, spreadsheets or wherever you need to share it. Learn more and get started for free at fabi.aiUpcoming Events: Register for upcoming webinars here!

The Information's Anita Ramaswamy talks with TITV Host Akash Pasricha about Lyft's surprising stock performance and its strategy in the autonomous vehicle space. We also talk with Jeff Hollan about Snowflake Intelligence, a new group of AI agents, and how the company differentiates itself in the crowded enterprise software market. Loop Global CEO Olga Shevorenkova discusses the state of EV charging infrastructure in the US, the impact of high interest rates on adoption, and her 10-year view of the market. Lastly, we get into robotics valuations and data infrastructure for physical AI with The Information's Rocket Drew and Foxglove CEO Adrian Macneil, after the company announced a $40M funding round.Articles discussed on this episode:https://www.theinformation.com/articles/lyft-investors-enjoying-rideTITV airs on YouTube, X and LinkedIn at 10AM PT / 1PM ET. Or check us out wherever you get your podcasts.Subscribe to: - The Information on YouTube: https://www.youtube.com/@theinformation- The Information: https://www.theinformation.com/subscribe_hSign up for the AI Agenda newsletter: https://www.theinformation.com/features/ai-agenda

When Cloudbeds faced a post-sales organization at 120% capacity, no budget, and declining efficiency, Colin Slade chose to rebuild the operation through AI. Within nine months, his four-person AIOps team deployed more than 150 workflows and agents, automating 75% of repetitive work and reclaiming 7,000 hours every month.This episode details how Colin turned a resource-starved customer success organization into an AI-driven engine. It explores the early missteps, the shift from overengineering to small, quick wins, and how incremental adoption evolved into company-wide transformation.A practical study in applied AI, organizational change, and measurable outcomes—showing how constraint, not abundance, can drive real innovation.Timestamps0:00 – Preview & Introduction0:57 – Meet Colin Slade and the Situation at Cloudbeds9:25 – Mitigating Team Fears Around AI Replacing Jobs13:13 – The Stepwise Approach to Implementing AI19:50 – Scaling Securely: Working with IT, Risk-Taking, and Adoption24:00 – Roles and Team Structure for Effective AI Operations33:10 – Documentation as a Hidden Bottleneck39:45 – Build vs. Buy: Why Cloudbeds Built In-House42:20 – The Impact and a Culture of Fearless ExperimentationWhat You'll Learn* How to rebuild a post-sales org around AI without additional headcount* The step-by-step approach to deploying 150+ workflows in under a year* How to identify and structure AI roles: visionary, operators, knowledge masters, and project leads* The cultural and psychological levers for AI adoption* How to optimize documentation for AI readability (and boost SEO at the same time)* The measurable impact of AI on cost savings, efficiency, and morale---Check out the Key Takeaways & Transcripts: ⁠https://www.gainsight.com/presents/series/unchurned/⁠---Where to Find Colin:LinkedIn: ⁠https://www.linkedin.com/in/colinslade/Where to Find Josh: LinkedIn: ⁠https://www.linkedin.com/in/jschachter/⁠---Resources: n8n – https://n8n.io/Forethought – https://forethought.ai/Google AI Studio – https://aistudio.google.com/Anthropic Claude – https://claude.ai/Gemini – https://gemini.google.com/appLovable – https://lovable.dev/Pinecone – https://www.pinecone.io/Snowflake – https://www.snowflake.com/en/Zendesk – https://www.zendesk.nl/Salesforce – https://www.salesforce.com/Slack – https://slack.com/

Merrill on LinkedIn (https://www.linkedin.com/in/merrill-lutsky/) Graphite (https://graphite.com/) Alice for Snowflake (https://alice.dev/alice-snowflake/) Mike on X (https://x.com/dominucco) Mike on BlueSky (https://bsky.app/profile/dominucco.bsky.social) Coder on X (https://x.com/coderradioshow) Show Discord (https://discord.gg/k8e7gKUpEp) Alice & Custom Dev (https://alice.dev) Mike's Recent Omakub Blog Post (https://dominickm.com/omakhub-review/)

En este nuevo capítulo de FintechTalks, Adolfo Rey conversa con Ernesto Serrano, Country Manager de Snowflake en Colombia, sobre cómo los datos están dejando de ser un costo para convertirse en el motor del crecimiento y la innovación. Desde el Latam Fintech Market, exploramos cómo IA, multicloud y monetización de datos están redefiniendo la manera en que las empresas toman decisiones y crean valor.Snowflake está cambiando las reglas del juego al democratizar el acceso a la data: desde grandes corporaciones hasta startups pueden hoy hablar con sus datos, automatizar procesos y construir inteligencia en tiempo real.

Unlocking Healthcare Data: Expert Insights from Jason Bryll of Parable AssociatesIn this episode, host Josh Elledge interviews Jason Bryll, Founder and CEO of Parable Associates, a company helping healthcare organizations harness their data for growth, efficiency, and better patient outcomes. Jason discusses how healthcare's complex data systems—spanning patients, payers, and providers—can be transformed into powerful strategic assets. The conversation explores modern data infrastructure, AI adoption, and how healthcare leaders can turn information into action.Turning Healthcare Data into a Strategic AdvantageJason explains that healthcare organizations deal with some of the most fragmented and regulated data ecosystems of any industry. With multiple payment sources, strict HIPAA compliance, and disconnected systems, many practices struggle to translate data into actionable insights. Through Parable Associates, Jason helps clients design robust, scalable data infrastructures that unify information from EHRs, practice management tools, and claims systems to create real-time visibility into operations.He highlights how modern tools like Microsoft Fabric, Databricks, and Snowflake are transforming how providers process and analyze information. By automating data pipelines, implementing AI-driven analytics, and empowering teams with dashboards, healthcare organizations can reduce claim denials, improve revenue cycles, and accelerate cash flow. Jason emphasizes that true transformation begins with data governance—ensuring clean, accessible, and secure data before layering on advanced analytics.Ultimately, Parable's approach is rooted in measurable ROI. From reducing days sales outstanding (DSO) to uncovering revenue bottlenecks, their systems deliver tangible results. Jason advises healthcare executives to start with a specific business problem—such as cash flow or patient scheduling—and build data strategies around it. “Better reporting is like giving staff a utility belt,” he says. “It equips them to solve problems faster and with more confidence.”About Jason BryllJason Bryll is the Founder and CEO of Parable Associates, where he helps large healthcare organizations transform fragmented data into operational insights. With deep experience in analytics, systems design, and healthcare finance, Jason has worked with providers nationwide to improve data quality, cash flow, and performance through tailored, scalable solutions.About Parable AssociatesParable Associates specializes in healthcare analytics and data engineering, helping medical groups, hospitals, and specialty providers build scalable data ecosystems. The firm designs client-owned systems that unify data across clinical, operational, and financial functions, delivering clear insights and measurable ROI. Learn more at parableassociates.com.Links Mentioned in This EpisodeParable AssociatesConnect with Jason Bryll on LinkedInKey Episode HighlightsWhy healthcare data is uniquely complex and siloedHow to build scalable, secure data infrastructureUsing analytics to improve cash flow and reduce claim delaysPractical applications of AI and modern BI platformsHow Parable Associates delivers measurable ROI through dataActionable advice for healthcare leaders and data teamsConclusionJason Bryll's insights...

The Most challenging game of chance ever!  Betting on Colorado Weather!

Dan and Chris unpack whether today's surge in AI deployment across enterprise workflows, manufacturing, healthcare, and scientific research signals a lasting transformation or an overhyped bubble. Drawing parallels to the dot-com era, they explore how technology integration is reshaping industries, affecting jobs, and even influencing human cognition, ultimately asking: is this a bubble, or just a fizzy new phase of innovation?Featuring:Chris Benson – Website, LinkedIn, Bluesky, GitHub, XDaniel Whitenack – Website, GitHub, XLinks: Powell says that, unlike the dotcom boom, AI spending isn't a bubble: ‘I won't go into particular names, but they actually have earnings'Sponsors:Outshift by Cisco - The open source collective building the Internet of Agents. Backed by Outshift by Cisco, AGNTCY gives developers the tools to build and deploy multi-agent software at scale. Identity, communication protocols, and modular workflows—all in one global collaboration layer. Start building at AGNTCY.org.Shopify – The commerce platform trusted by millions. From idea to checkout, Shopify gives you everything you need to launch and scale your business—no matter your level of experience. Build beautiful storefronts, market with built-in AI tools, and tap into the platform powering 10% of all U.S. eCommerce. Start your one-dollar trial at shopify.com/practicalaiFabi.ai - The all-in-one data analysis platform for modern teams. From ad hoc queries to advanced analytics, Fabi lets you explore data wherever it lives—spreadsheets, Postgres, Snowflake, Airtable and more. Built-in Python and AI assistance help you move fast, then publish interactive dashboards or automate insights delivered straight to Slack, email, spreadsheets or wherever you need to share it. Learn more and get started for free at fabi.aiUpcoming Events: Join us at the Midwest AI Summit on November 13 in Indianapolis to hear world-class speakers share how they've scaled AI solutions. Don't miss the AI Engineering Lounge, where you can sit down with experts for hands-on guidance. Reserve your spot today!Register for upcoming webinars here!

Chad Peets is one of the greatest sales leaders and recruiters of the last 25 years. From 2018 to 2023, Chad was a Managing Director at Sutter Hill Ventures. Chad has worked with the world's best CEOs and CROs to build world-class go-to-market organizations. Chad is currently a member of the Board of Directors for Lacework and Luminary Cloud and on the boards of Clumio and Sigma Computing. He previously served as a board member for Astronomer, Transposit, and others. He was an early-stage investor at Snowflake, Sigma, Observe, Lacework, and Clumio. In Today's Discussion with Chad Peet's We Discuss: 1. You Need a CRO Pre-Product: Why does Chad believe that SaaS companies need a CRO pre-product? Should the founder not be the right person to create the sales playbook? What should the founder look for in their first CRO hire? Does any great CRO really want to go back to an early startup and do it again? 2. What Everyone Gets Wrong in Building Sales Teams: Why are most sales reps not performing? How long does it take for sales teams to ramp? How does this change with PLG and enterprise? What are the benchmarks of good vs great for average sales reps? How do founders and VCs most often hurt their sales teams and performance? 3. How to Build a Hiring Machine: What are the single biggest mistakes people make when hiring sales reps and teams? Are sales people money motivated? How to create comp plans that incentivise and align? Why does Chad believe that any sales rep that does not want to be in the office, is not putting their career and development first? Why is it harder than ever to recruit great sales leaders today? 4. Lessons from Scaling Sales at Snowflake: What are the single biggest lessons of what worked from scaling Snowflake's sales team? What did not work? What would he do differently with the team again? What did Snowflake teach Chad about success and culture and how they interplay together?  

On this special segment of The Full Ratchet, the following Investors are featured: Kevin Jiang of Mangusta Capital Barry Schuler of DFJ Growth Ventures Chris Rizik of Renaissance Venture Capital We asked guests for the most important piece of advice that they'd share with folks early in their venture career. The host of The Full Ratchet is Nick Moran of New Stack Ventures, a venture capital firm committed to investing in founders outside of the Bay Area. We're proud to partner with Ramp, the modern finance automation platform. Book a demo and get $150—no strings attached.   Want to keep up to date with The Full Ratchet? Follow us on social. You can learn more about New Stack Ventures by visiting our LinkedIn and Twitter.

Steve Pierce was just 17-years old and the youngest of Mike Rogers' seven person logging crew, based out of Snowflake, Arizona. It was 1975, when they worked until dark. Putting in extra hours to get a job caught up in the mountains. When they headed home that evening, all of their lives would change, as they spotted a UFO, which has been nicknamed 'Fire in the Sky', by many. Steve is here to tell his story and account of what happened to Travis Walton.Become a supporter of this podcast: https://www.spreaker.com/podcast/spaced-out-radio--1657874/support.

Snowflake is moving beyond the data warehouse. Its new Snowflake Intelligence is an agentic platform for every employee, not just data teams. Sarah Guo sits down with Snowflake CEO Sridhar Ramaswamy to discuss his first 18 months at the helm, as well as the massive pivot to make the data giant AI-first. Sridhar talks about Snowflake Intelligence, the company's new AI agent platform, and its implications for enterprise data management. They also explore how Sridhar navigates partnerships with major tech companies, how he fosters a culture of continuous improvement within the organization, and how he envisions Snowflake's future as an integral data-driven enterprise solution.  Sign up for new podcasts every week. Email feedback to show@no-priors.com Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil | @Snowflake Chapters: 00:00 – Sridhar Ramaswamy Introduction 00:42 – Snowflake's Market Adaptation 03:14 – Snowflake's Evolution and AI Integration 05:44 – Introducing Snowflake Intelligence 09:01 – Snowflake Intelligence User Experience 11:55 – Drawing the Line Between Data, Agent System, and App 13:30 – Leadership and Organizational Changes 16:19 – How Being an Investor, Entrepreneur Informed Sridhar's Leadership 18:50 – Importance of Product-Market Fit 22:46 – Snowflake's Strategic Positioning 27:10 – Snowflake's Partnership Strategy 30:20 – How Sridhar Sees the ROI of AI 35:09 – How AI Changes the Ad Model 38:15 – Why LLMs Still Need Search 42:11 – Conclusion

In this episode of HR Heretics, Kelli and Nolan interview Arnnon Geshuri, Chief People Officer at Snowflake and 8-year Tesla veteran, about building HR's strategic authority through data analytics, his automate-augment-human AI framework, and why he recruits economists and data scientists alongside traditional HR professionals.Support our Sponsor:Metaview is the AI platform built for recruiting. Check it out: https://www.metaview.ai/heretics* Our suite of AI agents work across your hiring process to save time, boost decision quality, and elevate the candidate experience.* Learn why team builders at 3,000+ cutting-edge companies like Brex, Deel, and Quora can't live without Metaview.* It only takes minutes to get up and running.KEEP UP WITH ARNNON, NOLAN + KELLI ON LINKEDINArnnon: linkedin.com/in/arnnongeshuriNolan: https://www.linkedin.com/in/nolan-church/Kelli: https://www.linkedin.com/in/kellidragovich/—Snowflake: https://www.snowflake.com/en/-For coaching and advising inquire at https://kellidragovich.com/—TIMESTAMPS:(0:00) Intro(1:12) Three Key Lessons from Working with Elon Musk at Tesla(3:36) Why Snowflake: Reinventing the People Function(4:33) The Three-Pronged AI Framework: Automate, Augment, Human-Only(12:02) Sponsor: Metaview(19:45) Data Analytics as the Backbone of HR(24:00) Building the Winning HR Team Portfolio(27:08) Speed Through Imperfection: Fast Pilots and Iteration(29:00) Wrap This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit hrheretics.substack.com

In this episode, Chetna explains how new automation strategies are evolving not only productivity, but the role of the CIO. Chetna emphasizes the importance of data quality and security when scaling a fast-growing company, as well as transparency and partnership in vendor relationships. About the Guest: Chetna is an award winning CIO, board member, and VC advisor with over 25 years of experience working in the Fortune 100 and serving as a 3X CIO for hyper-growth SaaS businesses. Chetna currently serves as CIO of Webflow, a hyper-growth Website Experience Platform SaaS company. Previously, she served as CDIO at Amplitude and ZoomInfo.Chetna is an advisor to prominent VC firms including Sequoia Capital, Accel, Ridge Ventures, and Mayfield and serves on the Customer Advisory Board (CAB) at Veza and, Productiv and was formerly at Snowflake and Google Cloud Platform CAB. She served on the Tech Committee with Carlyle and Thoma Bravo, and on the Advisory Board of Ninja Focus and Women & AI.She was a finalist and nominee for the Bay Area ORBIE, CIO award, a finalist for “2019 Markie's Cultivator Award for Best Lead Management Program,” a recipient of the Delta Dental Women in Business Stevie Award of Excellence in Healthcare Transformation, and a Boeing Spirit of Excellence Award recipient. Outside of work, she enjoys traveling, hiking, and skiing and has a passion for exploring different cultures.Timestamps:01:41 - About Chetna04:53 - Automation as a starting point07:16 - Employee productivity and the CIO11:25 - Discovering new AI tools13:44 - Evolving revenue systems22:47 - How will the CIO role evolve?28:37 - Lightning roundGuest Highlight:“ AI has really taken productivity at a whole different level now. It has really helped us drive the pace in productivity we couldn't have fathomed before the event of the content generation. It's not just content generation anymore. It's way beyond that. The velocity at which we are innovating on the product is huge.”Get Connected:Chetna Mahajan on LinkedInYousuf Kahn on LinkedInIan Faison on LinkedInHungry for more tech talk? Check out past episodes at ciopod.com: Ep 62 - Running IT Like a Growth EngineEp 61 - What Manufacturing Can Teach You About Scaling Enterprise AIEp 60 - Why the Smartest CIOs Are Becoming Business StrategistsLearn more about Caspian Studios: caspianstudios.comOur Sponsor:This episode was brought to you by Blitzy, the Enterprise Autonomous Software Development Platform with Infinite Code Context.Blitzy uses thousands of specialized AI agents that think for hours to understand enterprise scale codebases with millions of lines of code. Enterprise Engineering leaders start every development sprint with the Blitzy platform, bringing in their development requirements. The Blitzy platform provides a plan, then generates and pre-compiles code for each task. Blitzy delivers 80%+ of the development work autonomously, while providing a guide for the final 20% of human development work required to complete the sprint.Public companies are achieving a 5x engineering velocity increase when incorporating Blitzy as their Pre-IDE development tool, pairing it with their coding co-pilot of choice to bring an AI-Native SDLC into their org.Visit Blitzy.com and press book demo to learn how Blitzy transforms your SDLC from AI Assisted to AI Native. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

In October, Inside the ICE House aired eight new episodes, six traditional episodes, Markets in focus with Opening Bell Daily's Phil Rosen and Inside the ICE House breakfast on the balcony with Fetch CEO Wes Schroll. Episode 488: KKR's Pete Stavros on Ownership, Opportunity, and the Future of Work Episode 489: Charlotte Hornets' Shelly Cayette-Weston on Business, Buzz, & Building with Judi Health October Markets in Focus: Shutdowns, AI Optimism, and Bitcoin's 'Uptober' Rally On the Balcony: Building, Rewarding, and Redefining Loyalty with Fetch CEO Wes Schroll Episode 490: Workiva's Mike Rost & Mandi McReynolds on Data, Decisions, & Driving Growth Through Synergy Episode 491: Author Jon Levy on "Team Intelligence" and the Power of Trust, Collaboration and Group Potential Episode 492: ATM Media CEO Robert Wheeler on Brand Building and Turning Moments into Content Episode 493: Snowflake's Christian Kleinerman on innovation, Evolution and the Art of Collaboration

Stephanie this time discusses the elections in California, New York, New Jersey, and Virginia. She also talks about the never-ending government shutdown and the millions of people who are being victimized by Trump as he gleefully holds America hostage. Guests: Jody Hamilton, Charlie Pierce, and JoJo From Jerz.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Joe Sudbay guests hosts while John is on his California cruise trip. Joe discusses Trump's Halloween glitzy Great Gatsby party - flouting lavishness while millions panic over SNAP benefits being constrained. He also talks about the major elections happening in New Jersey, Virginia, California, and New York. Then, he speaks with Jessica Mackler who is the president of EMILYs list. EMILYs List is backing both Democratic governor candidates (Mikie Sherrill in New Jersey and Abigail Spanberger in Virginia), as well as women candidates in every top red-to-blue flip opportunity in Virginia's House of Delegates races. In the last Southern state without an abortion ban, this year, Virginia's House will determine if voters can protect reproductive freedom through a constitutional amendment. And then finally, Joe interviews Alejandro Varela. His debut novel, The Town of Babylon was a finalist for the National Book Award. His latest novel, Middle Spoon, was published by Viking on September 9, 2025. His novels and stories take public health topics — from systemic racism to gentrification to sexuality — and make them accessible and memorable. Varela is an editor-at-large of Apogee Journal, and holds a masters degree in public health from the University of Washington.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Aeroview (https://aeroview.io/) Marc on LinkedIn (https://www.linkedin.com/in/mhweiner/) Alice for Snowflake (https://alice.dev/alice-snowflake/) Mike on X (https://x.com/dominucco) Mike on BlueSky (https://bsky.app/profile/dominucco.bsky.social) Coder on X (https://x.com/coderradioshow) Show Discord (https://discord.gg/k8e7gKUpEp) Alice & Custom Dev (https://alice.dev) Mike's Recent Omakub Blog Post (https://dominickm.com/omakhub-review/)

In this Halloween-themed episode of the Arizona Small Ball Podcast, hosts Jeff and Reyes dive into the spooky side of Arizona high school hoops! From bone-chilling rivalries to monster performances, the duo breaks down the scariest matchups in both boys' and girls' basketball this season.

Brother Richard returns for a discussion on Halloween Traditions including those related to Samhain, All Saints Day, All Souls Day, 'Trick or Treating' customs in Ireland and how we can invite our departed loved ones to join us at this time. We also further discuss 'Dissertations upon the apparitions of angels, dæmons, and ghosts, and concerning the vampires of Hungary, Bohemia, Moravia, and Silesia' by Father Dom Augustin Calmet (first published in 1746) https://www.gutenberg.org/files/29412/29412-h/29412-h.htm We get into the regularity of levitation experiences, safe approaches to dealing with Otherworldly beings and much more...and we end with a very moving seasonal poem by Brother Richard. Brother Richard is a Capuchin Franciscan priest-friar living and working in Ireland. His poem ‘Lockdown' went viral on social media in the early months of the coronavirus pandemic in 2020. His books Still Points: A Guide to Living the Mindful, Meditative Way and Calming the Storms: Meditation as a Path to Inner Peace and Happiness are aids to daily life in this busy modern world. Brother Richard teaches Christian meditation and mindfulness with the Sanctuary Spirituality Centre. Find @brorichard on Instagram and Facebook https://www.amazon.co.uk/Still-Points-Living-Mindful-Meditative/dp/1399700669 https://amzn.eu/d/39dnEGn For those who wish to make a donation, The Capuchin Day Centre for homeless people in Ireland, is a charity arm of the Capuchin Franciscan order that Brother Richard Order belongs to: capuchindaycentre.ie ⭐️ 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

Dhanji R. Prasanna is the chief technology officer at Block (formerly Square), where he's managed more than 4,000 engineers over the past two years. Under his leadership, Block has become one of the most AI-native large companies in the world. Before becoming CTO, Dhanji wrote an “AI manifesto” to CEO Jack Dorsey that sparked a company-wide transformation (and his promotion to CTO).We discuss:1. How Block's internal open-source agent, called Goose, is saving employees 8 to 10 hours weekly2. How the company measures AI productivity gains across technical and non-technical teams3. Which teams are benefiting most from AI (it's not engineering)4. The boring organizational change that boosted productivity even more than AI tools5. Why code quality has almost nothing to do with product success6. How to drive AI adoption throughout an organization (hint: leadership needs to use the tools daily)7. Lessons from building Google Wave, Google+, and other failed products—Brought to you by:Sinch—Build messaging, email, and calling into your product: https://sinch.com/lennyFigma Make—A prompt-to-code tool for making ideas real: https://www.figma.com/lenny/Persona—A global leader in digital identity verification: https://withpersona.com/lenny—Where to find Dhanji R. Prasanna:• LinkedIn: https://www.linkedin.com/in/dhanji/—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: https://twitter.com/lennysan• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/—In this episode, we cover:(00:00) Introduction to Dhanji(05:26) The AI manifesto: convincing Jack Dorsey(07:33) Transforming into a more AI-native company(12:05) How engineering teams work differently today(15:24) Goose: Block's open-source AI agent(20:18) Measuring AI productivity gains across teams(21:38) What Goose is and how it works(32:15) The future of AI in engineering and productivity(37:42) The importance of human taste(40:10) Building vs. buying software(44:08) How AI is changing hiring and team structure(53:45) The importance of using AI tools yourself before deploying them(55:13) How Goose helped solve a personal problem with receipts(58:01) What makes Goose unique(59:57) What Dhanji wishes he knew before becoming CTO(01:01:49) Counterintuitive lessons in product development(01:04:56) Why controlled chaos can be good for engineering teams(01:08:07) Core leadership lessons(01:13:36) Failure corner(01:15:50) Lightning round and final thoughts—Referenced:• Jack Dorsey on X: https://x.com/jack• Block: https://block.xyz/• Square: https://squareup.com/• Cash App: https://cash.app/• What is Conway's Law?: https://www.microsoft.com/en-us/microsoft-365-life-hacks/organization/what-is-conways-law#• Goose: https://github.com/block/goose• Gosling: https://github.com/block/goose-mobile• Salesforce: https://www.salesforce.com/• Snowflake: https://www.snowflake.com/• Claude: https://claude.ai/• Anthropic co-founder on quitting OpenAI, AGI predictions, $100M talent wars, 20% unemployment, and the nightmare scenarios keeping him up at night | Ben Mann: https://www.lennysnewsletter.com/p/anthropic-co-founder-benjamin-mann• OpenAI: https://openai.com/• OpenAI's CPO on how AI changes must-have skills, moats, coding, startup playbooks, more | Kevin Weil (CPO at OpenAI, ex-Instagram, Twitter): https://www.lennysnewsletter.com/p/kevin-weil-open-ai• Llama: https://www.llama.com/• Cursor: https://cursor.com/• The rise of Cursor: The $300M ARR AI tool that engineers can't stop using | Michael Truell (co-founder and CEO): https://www.lennysnewsletter.com/p/the-rise-of-cursor-michael-truell• Top Gun: https://www.imdb.com/title/tt0092099/• Lenny's vibe-coded Lovable app: https://gdoc-images-grab.lovable.app/• Afterpay: https://github.com/afterpay• Bitkey: https://bitkey.world/• Proto: https://github.com/proto-at-block• Brad Axen on LinkedIn: https://www.linkedin.com/in/bradleyaxen/• Databricks: https://www.databricks.com/• Carl Sagan's quote: https://www.goodreads.com/quotes/32952-if-you-wish-to-make-an-apple-pie-from-scratch• Google Wave: https://en.wikipedia.org/wiki/Google_Wave• Google Video: https://en.wikipedia.org/wiki/Google_Video• Secret: https://en.wikipedia.org/wiki/Secret_(app)• Alien Earth on FX: https://www.fxnetworks.com/shows/alien-earth• Slow Horses on AppleTV+: https://tv.apple.com/us/show/slow-horses/umc.cmc.2szz3fdt71tl1ulnbp8utgq5o• Fargo TV series on Prime Video: https://www.amazon.com/Fargo-Season-1/dp/B09QGRGH6M• Steam Deck OLED display: https://www.steamdeck.com/en/oled• Doc Brown: https://backtothefuture.fandom.com/wiki/Emmett_Brown—Recommended books:• The Master and Margarita: https://www.amazon.com/Master-Margarita-Mikhail-Bulgakov/dp/0802130119• Tennyson Poems: https://www.amazon.com/Tennyson-Poems-Everymans-Library-Pocket/dp/1400041872/Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com.—Lenny may be an investor in the companies discussed.My biggest takeaways from this conversation: To hear more, visit www.lennysnewsletter.com