Podcasts about snowflakes

¡Emprendeduros! En este episodio Rodrigo nos da una actualización de mercado donde habla del estatus del mercado, del cosumo, del mercado de empleos y del codigo rojo de OpenAI. Nos da los reportes de ingresos de Crowdstrike, American Eagle, Salesforce, Snowflake, Kroger, Dollar General y Dollar Tree. Después habla de la linea de pobreza y del altruismo pero bien hecho. Finalmente contesta unas preguntas de los Emprendeduros.

-The Minnesota corruption saga grows so large it might qualify as its own GDP, and Rob gleefully predicts the political downfall of Walz, Ellison, and possibly Ilhan Omar. -Kaitlin Bennett joins on the Newsmax hotline, recounting her campus adventures where college students flee debates faster than they flee Thanksgiving history lessons. Today's podcast is sponsored by : BIRCH GOLD - Protect and grow your retirement savings with gold. Text ROB to 98 98 98 for your FREE information kit!WEBROOT : Live a better digital life with Webroot Total Protection. Rob Carson Show listeners get 60% off at http://webroot.com/Newsmax  To call in and speak with Rob Carson live on the show, dial 1-800-922-6680 between the hours of 12 Noon and 3:00 pm Eastern Time Monday through Friday…E-mail Rob Carson at : RobCarsonShow@gmail.com Musical parodies provided by Jim Gossett (http://patreon.com/JimGossettComedy) Listen to Newsmax LIVE and see our entire podcast lineup at http://Newsmax.com/Listen Make the switch to NEWSMAX today! Get your 15 day free trial of NEWSMAX+ at http://NewsmaxPlus.com Looking for NEWSMAX caps, tees, mugs & more? Check out the Newsmax merchandise shop at : http://nws.mx/shop Follow NEWSMAX on Social Media:  -Facebook: http://nws.mx/FB  -X/Twitter: http://nws.mx/twitter -Instagram: http://nws.mx/IG -YouTube: https://youtube.com/NewsmaxTV -Rumble: https://rumble.com/c/NewsmaxTV -TRUTH Social: https://truthsocial.com/@NEWSMAX -GETTR: https://gettr.com/user/newsmax -Threads: http://threads.net/@NEWSMAX  -Telegram: http://t.me/newsmax  -BlueSky: https://bsky.app/profile/newsmax.com -Parler: http://app.parler.com/newsmax Learn more about your ad choices. Visit megaphone.fm/adchoices

With the AI trade in the spotlight, Carl Quintanilla and Jim Cramer discussed Nvidia CEO Jensen Huang's Wednesday visit to Washington, DC — which included a meeting with President Trump. Hear what Huang said at a separate event about the U.S.-China battle over AI. The anchors reacted to Al bubble-related comments Anthropic CEO Dario Amodei made to Andrew Ross Sorkin at The New York Times DealBook Summit. David Faber called in with breaking news about the battle to acquire Warner Bros. Discovery — his sources say Netflix is the leading bidder. Meta shares rally: CEO Mark Zuckerberg reportedly plans deep cuts to the company's metaverse group. On the earnings front: Salesforce shares rise while Snowflake melts.  Squawk on the Street Disclaimer Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

In this episode, we explore Anthropic's move to hire lawyers ahead of a potential IPO and what this means for its next stage of growth. We also break down the $200M Snowflake partnership and how bringing Anthropic's LLMs to enterprise data stacks could reshape adoption.Get the top 40+ AI Models for $20 at AI Box: ⁠⁠https://aibox.aiAI Chat YouTube Channel: https://www.youtube.com/@JaedenSchaferJoin my AI Hustle Community: https://www.skool.com/aihustle------------See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Varun Puri, CEO and cofounder of Yoodli, joins the show to talk about using AI role play to transform how people practice for high stakes conversations, from sales calls to job interviews to tough manager chats. He breaks down how Yoodli went from a consumer public speaking tool to a serious enterprise platform used by teams at Google, Snowflake, Databricks, and more, all while staying anchored in one mission, helping humans communicate with confidence. We dig into product led growth, honest feedback loops, and why real human communication will matter even more as AI makes information instant.Key takeaways• Why Yoodli started with public speaking anxiety and grew into an AI role play simulator for any important conversation, not just conference talks or pitch decks• How watching real user behavior inside companies like Google pulled the team into enterprise without abandoning their consumer product• A simple approach to product feedback, talk to end users constantly, then prioritize changes by business impact, renewal risk, and how many people benefit• What it really takes to move from consumer to enterprise, new roles, new processes, and a very different mindset around reliability, security, and expectations• Why Varun draws clear ethical lines, using AI to coach and prepare people, not to replace human judgment in hiring, promotion, or high trust decisionsTimestamped highlights[00:35] What Yoodli actually does today, from solo practice to training sales and go to market teams inside large enterprises[01:43] The original vision, helping people who are scared of public speaking, and the insight that interviews, sales calls, and manager talks are all just role plays[03:37] How the team listens to end users, the channels they rely on, and why the consumer product is still their testing ground for new ideas and experiments[05:20] Following users into the enterprise, why it was an addition and not a full pivot, and how product led growth inside companies like Google works in practice[07:42] The early shock of selling to enterprises, learning about new roles, SLAs, InfoSec, and bringing in leaders from Tableau and Salesforce to build a real B2B engine[11:10] Two paths for AI in sales, tools that try to replace humans versus tools that make humans better, and why Varun has drawn a hard line on what Yoodli will not do[15:26] A future where information is commoditized and instant, and why communication and presence become the real edge for top performers in that world[20:48] Designing for trust and adoption, how Yoodli keeps practice private by default, when data is shared, and why control has to sit with the end userA line worth saving“In a world where AI makes everyone smarter and faster, the thing that will be at the biggest premium is how you communicate as a human with other humans.”Practical ideas you can use• Keep a consumer like surface in your product so you can experiment faster than your enterprise roadmap would ever allow• Treat feedback from large customers like a queue you rank by renewal risk, strategic value, and number of users helped, not as a list you must clear• Look for product led growth signals inside your user base, if thousands of people in one company are using you, someone there probably wants a team level solution• Draw explicit boundaries for your AI product, write down what you will not automate, so you can build trust with users and buyers over the long termCall to actionIf you care about the future of sales, interviewing, and communication in an AI rich world, this conversation is worth a listen. Follow the show, leave a quick rating, and share this episode with a founder, product leader, or sales leader who is thinking about AI in their workflow. And if you want feedback on your own speaking, check out what Varun and his team are building at Yoodli.

Initial jobless claims and Challenger layoff data come ahead of the open after ADP's weak report yesterday raised rate cut odds. Salesforce and Snowflake results are also in focus.Important DisclosuresThis material is intended for general informational purposes only. This should not be considered an individualized recommendation or personalized investment advice. The investment strategies mentioned may not be suitable for everyone. Each investor needs to review an investment strategy for his or her own particular situation before making any investment decisions.The Schwab Center for Financial Research is a division of Charles Schwab & Co., Inc.All names and market data shown above are for illustrative purposes only and are not a recommendation, offer to sell, or a solicitation of an offer to buy any security. Supporting documentation for any claims or statistical information is available upon request.Past performance is no guarantee of future results.Diversification and rebalancing strategies do not ensure a profit and do not protect against losses in declining markets.Indexes are unmanaged, do not incur management fees, costs, and expenses and cannot be invested in directly. For more information on indexes, please see schwab.com/indexdefinitions.The policy analysis provided by the Charles Schwab & Co., Inc., does not constitute and should not be interpreted as an endorsement of any political party.Fixed income securities are subject to increased loss of principal during periods of rising interest rates. Fixed income investments are subject to various other risks including changes in credit quality, market valuations, liquidity, prepayments, early redemption, corporate events, tax ramifications, and other factors.All expressions of opinion are subject to change without notice in reaction to shifting market, economic or political conditions. Data contained herein from third party providers is obtained from what are considered reliable sources. However, its accuracy, completeness or reliability cannot be guaranteed.Investing involves risk, including loss of principal, and for some products and strategies, loss of more than your initial investment.The Schwab Center for Financial Research is a division of Charles Schwab & Co., Inc.Apple Podcasts and the Apple logo are trademarks of Apple Inc., registered in the U.S. and other countries.Google Podcasts and the Google Podcasts logo are trademarks of Google LLC.Spotify and the Spotify logo are registered trademarks of Spotify AB.(0131-1225) Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Fluent Fiction - Danish: Snowflakes and Healing: A Christmas Reunion in Adversity Find the full episode transcript, vocabulary words, and more:fluentfiction.com/da/episode/2025-12-04-08-38-20-da Story Transcript:Da: Snefnug dalede stille udenfor vinduet, dækkende verden i et hvidt tæppe.En: Snowflakes drifted quietly outside the window, covering the world in a white blanket.Da: Inde på hospitalet var der en lidt anden stemning.En: Inside the hospital, there was a slightly different mood.Da: Rummet var koldt og sterilt, men små papirfnug og et lille plastikjuletræ i hjørnet gav et hint af højtidsstemning.En: The room was cold and sterile, but small paper snowflakes and a little plastic Christmas tree in the corner gave a hint of holiday spirit.Da: Mikkel lå i sengen, pakket ind i et blødt tæppe.En: Mikkel lay in the bed, wrapped in a soft blanket.Da: Han havde netop gennemgået en mindre operation, og kroppen krævede hvile.En: He had just undergone a minor operation, and his body needed rest.Da: Han kiggede ud af vinduet, mens tankerne kredsede om den forestående jul.En: He looked out the window, while his thoughts circled around the upcoming Christmas.Da: Det var en tid for familie, men Mikkel ønskede ikke at være en byrde.En: It was a time for family, but Mikkel didn't want to be a burden.Da: Han sukkede dybt.En: He sighed deeply.Da: Døren åbnede sig stille, og der trådte Astrid ind med et smil på læben.En: The door opened quietly, and Astrid stepped in with a smile on her face.Da: "Hej storebror," sagde hun glad.En: "Hi big brother," she said happily.Da: "Hvordan har du det?"En: "How are you feeling?"Da: Mikkel prøvede at smile, men bekymringerne vejede tungt.En: Mikkel tried to smile, but the worries weighed heavily.Da: "Du behøvede ikke komme, Astrid," sagde han.En: "You didn't need to come, Astrid," he said.Da: "Jeg klarer mig."En: "I can manage."Da: Astrid satte sig ved siden af hans seng.En: Astrid sat down next to his bed.Da: "Julen handler om at være sammen," svarede hun.En: "Christmas is about being together," she replied.Da: "Og jeg vil ikke lade dig være alene her."En: "And I won't let you be alone here."Da: Mikkel trak vejret dybt.En: Mikkel took a deep breath.Da: Han mindedes tidligere juleaftener, fyldt med latter, julemad og duften af nybagte småkager.En: He remembered past Christmas Eves filled with laughter, Christmas food, and the smell of freshly baked cookies.Da: De varme minder bragte et svagt smil til hans læber.En: The warm memories brought a faint smile to his lips.Da: "Kan du huske dengang, vi byggede en snemand i mors have?"En: "Do you remember the time we built a snowman in mom's garden?"Da: spurgte Astrid pludseligt.En: Astrid suddenly asked.Da: "Den havde gulerodsnæse og fars gamle hat."En: "It had a carrot nose and dad's old hat."Da: Mikkel lo svagt, minderne om den skæve snemand fik ham til at føle sig varmere.En: Mikkel laughed softly, memories of the crooked snowman made him feel warmer.Da: "Ja, det var en god dag," indrømmede han.En: "Yes, that was a good day," he admitted.Da: Astrid trak en lille pakke op af tasken.En: Astrid pulled a small package out of her bag.Da: "Jeg har noget til dig," sagde hun.En: "I have something for you," she said.Da: Mikkel åbnede pakken og så en smuk, håndlavet ornament.En: Mikkel opened the package and saw a beautiful, handmade ornament.Da: "Den er til vores juletræ, for vores familie," forklarede hun.En: "It's for our Christmas tree, for our family," she explained.Da: Hans hjerte blev fyldt med varme, og øjnene blev våde.En: His heart filled with warmth, and his eyes became wet.Da: Den lille gestus betød alverden for ham.En: The small gesture meant the world to him.Da: "Tak, Astrid," sagde han blødt, vel vidende at kærligheden i deres familie altid vil være der.En: "Thank you, Astrid," he said softly, knowing that the love in their family would always be there.Da: For første gang i lang tid følte Mikkel sig ikke alene.En: For the first time in a long time, Mikkel didn't feel alone.Da: Han så på sin søster og nikkede.En: He looked at his sister and nodded.Da: Måske var det okay at tage imod hjælp og værdsætte de mennesker, der var omkring ham.En: Maybe it was okay to accept help and appreciate the people around him.Da: "Skal vi tage hjem og fejre jul sammen?"En: "Shall we go home and celebrate Christmas together?"Da: spurgte Astrid, mens hun rejste sig op.En: Astrid asked as she stood up.Da: Mikkel tog hendes hånd og smilede.En: Mikkel took her hand and smiled.Da: "Det lyder som en plan," sagde han.En: "That sounds like a plan," he said.Da: Før han vidste af det, trådte de ud i sneen, hånd i hånd, klar til at fejre julen med deres familie.En: Before he knew it, they stepped out into the snow, hand in hand, ready to celebrate Christmas with their family.Da: Mikkel havde lært, at nogle gange betyder familie mest, og at man er stærkest, når man er sammen.En: Mikkel had learned that sometimes family means the most and that you are strongest when you are together. Vocabulary Words:drifted: daledesterile: steriltslightly: lidtoperation: operationburden: byrdesigh: sukkedeworries: bekymringerweight: vejedemanage: klareappreciate: værdsættegesture: gestusornament: ornamenthints: hintupcoming: foreståendememories: minderplan: plancelebrate: fejrehospital: hospitaletlaughed: loscenic: skævecrisply: sprødttogether: sammenspirit: åndencrooked: skævsmile: smilnod: nikkesoftly: blødtslightly: lidtwrapping: indpakningstepped: trådte

In der heutigen Folge sprechen die Finanzjournalisten Anja Ettel und Holger Zschäpitz über das Microsoft-Barometer und seine Folgen, das Inditex-Luxusproblem und gute Stimmung bei Salesforce. Außerdem geht es um Eli Lilly, AbbVie, Johnson & Johnson, Novo Nordisk, AstraZeneca, Abbott Laboratories, UnitedHealth Group, Bristol Myers Squibb, Dexcom, Align Technology, ResMed, Hims & Hers, JD Health International, iRhythm Technologies, Pro Medicus, Oscar Health, Xtrackers MSCI World Health Care (WKN: A113FD), Amundi S&P World Health Care Screened (WKN: A3DSTC), Franklin Future of Health and Wellness (WKN A3EFKW), Global X Telemedicine & Digital Health (WKN A2QKQ1), Xtrackers MSCI Genomic Healthcare Innovation (WKN: DBX0R2), Agilent, Roche, Vertex, Microsoft, Meta, Alphabet, Amazon, Nvidia, Salesforce, SAP, Snowflake, Inditex, H&M, Next, LVMH, Hermès, Aumovio, TKMS, Hellofresh, Gerresheimer, Ottobock, Tonies, PSI Software, Verbio, LPKF, Stratec, Thyssenkrupp Nucera, Procredit, Amadeus Fire, Bayer, BASF, Corteva, Syngenta, Formycon und PNE. Die aktuelle "Alles auf Aktien"-Umfrage findet Ihr unter: https://www.umfrageonline.com/c/mh9uebwm 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.) [Hier] (https://open.spotify.com/playlist/6zxjyJpTMunyYCY6F7vHK1?si=8f6cTnkEQnmSrlMU8Vo6uQ) findest Du die Samstagsfolgen Klassiker-Playlist auf Spotify! 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

Writer and producer Joseph Lidster visits the podcast for a fun chat about Dark Shadows and his experiences as writer and co-producer on the Big Finish range of Dark Shadows audio dramas! In addition to taking up the DS producing reins at Big Finish, Joe wrote dramatic readings and audio plays such as London's Burning, The Fall of the House of Trask, and Snowflake, and co-wrote The Crimson Pearl and the full-cast serial Bloodlust. If you love the Big Finish DS audio dramas, you won't want to miss this one!Terror at Collinwood and Shilling Shockers shirts, stickers, mugs, and merch at the Penny Dreadful XIII TeePublic shopHelp support the podcast by donating at Buy Me a CoffeeJoin the Terror at Collinwood Facebook PagePenny Dreadful's Shilling Shockers Etsy shopBig Finish – home of Dark Shadows audio dramas - WEBSITE LINKGeorge Kalogridis YouTube ChannelSurfing the Shadows surf rock cover of Robert Cobert's Dark Shadows theme by Johnny D & The MoonlightersTaC logos by Eric Marshall

A big day of tech earnings, including results from Salesforce, Snowflake, C3.AI and UiPath. BD8 Capital's Barbara Doran and Charles Schwab's Kevin Gordon break down the market action and react to the key earnings. C3.AI CEO Stephen Ehikian joins to break down the company's quarter and broader trends in the industry. UiPath CEO Daniel Dines talks enterprise spending levels after his company's earnings. Fortune Brands CEO Nicholas Fink on the health of the consumer and where they are spending in their home. Plus, Jensen Huang heads to Capitol Hill to lobby for export control changes.  Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Umesh Sachdev, cofounder and CEO of Uniphore, joins Shripati Acharya for a deeply insightful and very real conversation about what it actually takes to build and scale enterprise AI. Whether you are a founder, a product leader or someone thinking seriously about enterprise AI, this episode will give you clarity on business AI you won't find elsewhere.What you'll take away:• A clearer understanding of what Uniphore does as an end-to-end enterprise AI and data platform• Why so many AI pilots “fail” at first and how that failure can actually be meaningful progress• How enterprises are achieving predictable outcomes using unitary agents, workflow orchestration, guardrails and fine-tuned SLMs• The inside story of Uniphore's strategic raise and why some of the world's biggest AI and data companies chose to back them⭐Episode Timestamps00:00 Introduction03:00 – What Uniphore Actually Does 05:47 – Why Enterprise AI Struggles to Scale Beyond Pilots10:08 – The Determinism Problem: Why AI Gives Different Answers Each Time12:32 – Unitary Agents and Workflow Orchestration for Predictable AI14:00 – Small Language Models vs Large LLMs for Enterprise Use Cases15:25 – Why Guardrails and Governance Matter in Real Deployments16:39 – One Big Agent Fails but Ten Small Agents Work Better20:40 – Why AI Pilots Fail and Why That Is a Good Thing22:20 – Converting Experiments into Enterprise-Scale Adoption24:26 – 35,000 Invoices a Week with Only Four Humans: ROI Case Study26:25 – What Enterprises Really Look for in AI Systems28:45 – Lessons from Building Across India and the US32:51 – Why Founders Must Be Close to Their Biggest Market34:44 – Structuring Teams Across Geographies for Global Scale38:10 – The Journey of Building Uniphore Over Seventeen Years42:36 – Hard Lessons Learned Along the Way46:45 – Why NVIDIA, Snowflake, AMD and Databricks Invested51:17 – How the Strategic Round Came Together52:22 – Closing NoteIf this conversation resonates with you, drop your biggest takeaway in the comments and subscribe for more in-depth founder and VC discussions.#EnterpriseAI #Uniphore #ArtificialIntelligence #AIAgents #SmallLanguageModels #AIInnovation #AIinBusiness #FounderInsights #StartupLessons #TechLeadership #GlobalScale #FutureOfWork #PrimeVenturePartnersPodcast

Crypto turned around yesterday but Marvell Technology earnings appeared to disappoint. Today brings Salesforce results and ADP jobs data, along with Macy's and Snowflake.Important DisclosuresThis material is intended for general informational purposes only. This should not be considered an individualized recommendation or personalized investment advice. The investment strategies mentioned may not be suitable for everyone. Each investor needs to review an investment strategy for his or her own particular situation before making any investment decisions.The Schwab Center for Financial Research is a division of Charles Schwab & Co., Inc.All names and market data shown above are for illustrative purposes only and are not a recommendation, offer to sell, or a solicitation of an offer to buy any security. Supporting documentation for any claims or statistical information is available upon request.Past performance is no guarantee of future results.Diversification and rebalancing strategies do not ensure a profit and do not protect against losses in declining markets.Indexes are unmanaged, do not incur management fees, costs, and expenses and cannot be invested in directly. For more information on indexes, please see schwab.com/indexdefinitions.The policy analysis provided by the Charles Schwab & Co., Inc., does not constitute and should not be interpreted as an endorsement of any political party.Fixed income securities are subject to increased loss of principal during periods of rising interest rates. Fixed income investments are subject to various other risks including changes in credit quality, market valuations, liquidity, prepayments, early redemption, corporate events, tax ramifications, and other factors.All expressions of opinion are subject to change without notice in reaction to shifting market, economic or political conditions. Data contained herein from third party providers is obtained from what are considered reliable sources. However, its accuracy, completeness or reliability cannot be guaranteed.Investing involves risk, including loss of principal, and for some products and strategies, loss of more than your initial investment.The Schwab Center for Financial Research is a division of Charles Schwab & Co., Inc.Apple Podcasts and the Apple logo are trademarks of Apple Inc., registered in the U.S. and other countries.Google Podcasts and the Google Podcasts logo are trademarks of Google LLC.Spotify and the Spotify logo are registered trademarks of Spotify AB.(0131-1225) Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Snowflake (SNOW) shares have rallied nearly 50% this year, outperforming its peers in the cybersecurity sector. Rick Ducat examines the chart ahead of earnings and Tom White places an example trade.======== Schwab Network ========Empowering every investor and trader, every market day.Subscribe to the Market Minute newsletter - https://schwabnetwork.com/subscribeDownload the iOS app - https://apps.apple.com/us/app/schwab-network/id1460719185Download the Amazon Fire Tv App - https://www.amazon.com/TD-Ameritrade-Network/dp/B07KRD76C7Watch on Sling - https://watch.sling.com/1/asset/191928615bd8d47686f94682aefaa007/watchWatch on Vizio - https://www.vizio.com/en/watchfreeplus-exploreWatch on DistroTV - https://www.distro.tv/live/schwab-network/Follow us on X – / schwabnetwork Follow us on Facebook – / schwabnetwork Follow us on LinkedIn - / schwab-network About Schwab Network - https://schwabnetwork.com/about

Fluent Fiction - Danish: Snowflakes and Surprises: A Winter's Tale in Tivoli Gardens Find the full episode transcript, vocabulary words, and more:fluentfiction.com/da/episode/2025-12-03-23-34-02-da Story Transcript:Da: I København, midt i det kolde vinterlandskab, havde Guds snefnug helt sin egen magiske rytme.En: In København, in the middle of the cold winter landscape, God's snowflakes had their own magical rhythm.Da: Tivoli Gardens var oplyst som et glitrende julekort.En: Tivoli Gardens was lit up like a sparkling Christmas card.Da: Lyset fra hundredvis af små pærer blinkede fra træerne, og en livlig musik lød fra karusellen, der svang børn rundt i munter fryd.En: The light from hundreds of small bulbs twinkled from the trees, and lively music played from the carousel, spinning children around in cheerful delight.Da: Omkring var der boder, der solgte honningkager, varm kakao og duftende gløgg.En: Around were stalls selling gingerbread, hot cocoa, and fragrant mulled wine.Da: Julemarkedet var i fuld gang.En: The Christmas market was in full swing.Da: Mikkel og Freja gik hånd i hånd gennem menneskemængden.En: Mikkel and Freja walked hand in hand through the crowd.Da: Mikkel, med lynets glimten i øjnene, havde planlagt denne overraskelsesudflugt.En: Mikkel, with a twinkle in his eyes, had planned this surprise outing.Da: Men Freja, der altid satte pris på struktur og forberedelse, kunne ikke helt slappe af.En: But Freja, who always appreciated structure and preparation, couldn't quite relax.Da: "Mikkel," sagde hun stille, "jeg elsker dine overraskelser, men... hvad er planen?"En: "Mikkel," she said quietly, "I love your surprises, but... what is the plan?"Da: Mikkel trak på skuldrene.En: Mikkel shrugged.Da: "Planen er at hygge os.En: "The plan is to have a good time.Da: Se på julelysene.En: Look at the Christmas lights.Da: Drikke gløgg.En: Drink mulled wine.Da: Bare nyde det sammen."En: Just enjoy it together."Da: Han forsøgte at lyde afslappet, men Frejas nølende ansigt gjorde ham nervøs.En: He tried to sound relaxed, but Freja's hesitant face made him nervous.Da: Han vidste, at hun yndede at have en skitse at følge – noget han selv ofte glemte.En: He knew she liked to have an outline to follow—something he often forgot.Da: De fortsatte forbi juletræer, der strålede som stjerner, forbi søde glimt af børn, der kørte på karruseller og skøjter.En: They continued past Christmas trees that shone like stars, past sweet glimpses of children riding carousels and skating.Da: Alligevel kunne Mikkel føle spændingen stige mellem dem.En: Yet Mikkel could feel the tension rising between them.Da: Freja vrikkede ubehageligt på skuldrene, mens kulden bidrev til deres stigende uro.En: Freja shifted uncomfortably, while the cold contributed to their growing unease.Da: "Jeg ved, det er uforsigtligt, men vi skal finde glæden ved det her," sagde Mikkel, mens han trak Freja mod en bod, der solgte brændte mandler.En: "I know it's reckless, but we need to find the joy in this," said Mikkel, as he pulled Freja toward a stall selling roasted almonds.Da: Han smilede, men hans forsøg vaklede.En: He smiled, but his attempt faltered.Da: Freja stoppede, hendes øjne spejdede efter noget konkret, noget at stole på.En: Freja stopped, her eyes searching for something concrete, something to rely on.Da: Men pludselig, mens de stod der i stilheden mellem deres uro, begyndte snefnuggene at falde.En: But suddenly, as they stood there in the silence between their unease, the snowflakes began to fall.Da: Smukke snefnug, der landede blidt på jorden og på de brændte mandler Freja netop havde købt.En: Beautiful snowflakes gently landed on the ground and on the roasted almonds Freja had just bought.Da: "Se!"En: "Look!"Da: sagde Mikkel.En: said Mikkel.Da: "Det er det her, jeg ønskede.En: "This is what I wanted.Da: Magien ved det uventede."En: The magic of the unexpected."Da: Freja kiggede op, og hun lo.En: Freja looked up, and she laughed.Da: Den slags latter, der lettede enhver bekymring.En: The kind of laughter that eased any worry.Da: "Du har ret," sagde hun.En: "You're right," she said.Da: "Det er smukt."En: "It's beautiful."Da: Sneen dæmpede lydene, og for et øjeblik var de to det eneste i rummet, indhyllet i et stille vinters eventyr.En: The snow muffled the sounds, and for a moment, they were the only ones in the room, enveloped in a quiet winter's adventure.Da: Mikkel kiggede på Freja med ny forståelse.En: Mikkel looked at Freja with newfound understanding.Da: Måske kunne han forsøge at være en lille smule mere organiseret.En: Maybe he could try to be a little more organized.Da: Og Freja?En: And Freja?Da: Hun havde fundet skønhed i kaosset.En: She had found beauty in the chaos.Da: De stod sammen under den stille faldende sne og knugede sig tættere.En: They stood together under the softly falling snow and held each other closer.Da: Det blev en aften fyldt med overraskelser, varme og humor.En: It became an evening filled with surprises, warmth, and humor.Da: De fandt balancen mellem forberedelse og impulsivitet, et sted hvor de begge kunne drømme frit og sammen.En: They found the balance between preparation and spontaneity—a place where they both could dream freely and together.Da: Tivoli Gardens, under den tryllebindende vinterhimmel, blev stedet, hvor gamle gnister tændtes igen, og nye minder blev skabt.En: Tivoli Gardens, under the enchanting winter sky, became the place where old sparks were reignited, and new memories were created. Vocabulary Words:landscape: landskabsnowflakes: snefnugmagical: magisketwinkled: blinkedecarousel: karusellendelight: frydfragrant: duftendemulled wine: gløggmarket: markedetcrowd: menneskemængdenouting: udflugtshrugged: trak på skuldrenerelax: slappe afoutline: skitsehesitant: nølendecontributed: bidrevreckless: uforsigtligtstall: bodroasted almonds: brændte mandlerattempt: forsøgsilence: stilhedenmuffled: dæmpedeenveloped: indhylletunderstanding: forståelseorganized: organiseretchaos: kaossethumor: humorspontaneity: impulsivitetenchanted: tryllebindendememories: minder

USD hit and US yield curve steeper as Trump referred to Hassett as the "potential" next Fed ChairAPAC stocks mixed, only partially sustaining the Wall St. handover, where the NQ outperformedEUR and GBP both edged higher, AUD shrugged off disappointing Q3 GDPCrude contained, Kremlin said talks with the US were constructive but are no closer to resolving the situationLooking ahead, highlights include EZ/UK/US Services/Composite PMI Final (Nov), Swiss CPI (Nov), US ISM Services PMI (Nov), ADP National Employment (Nov), Import Prices (Sep), Industrial Production (Sep), NBP Policy Announcement, Speakers including BoE's Mann, ECB's Lagarde & Lane, Supply from UK, Earnings from Salesforce, Snowflake, Dollar Tree, Macy's & Inditex.Click for the Newsquawk Week Ahead.Read the full report covering Equities, Forex, Fixed Income, Commodites and more on Newsquawk

European bourses are broadly firmer, alongside modest strength across US equity futures; Marvell (+10%) benefits following its upbeat outlook for data-centre growth.DXY is softer and towards the round 99.00 mark as Trump referred to Hassett as the "potential" next Fed Chair, GBP top G10 performer, whilst CHF was briefly pressured post-CPI.Fixed benchmarks firmer but off highs as crude climbs. US yields steeper on Trump's Fed commentary.Crude grinds higher as traders digest the lack of progress from the Putin-Witkoff meeting; XAU trades rangebound; Copper extends to new ATHs.Looking ahead, US Services/Composite PMI Final (Nov), US ISM Services PMI (Nov), ADP National Employment (Nov), Import Prices (Sep), Industrial Production (Sep), NBP Policy Announcement, Speakers including BoE's Mann, ECB's Lagarde, Earnings from Salesforce, Snowflake, Dollar Tree.Read the full report covering Equities, Forex, Fixed Income, Commodites and more on Newsquawk

Chris and Daniel unpack how AI-driven document processing has rapidly evolved well beyond traditional OCR with many technical advances that fly under the radar. They explore the progression from document structure models to language-vision models, all the way to the newest innovations like Deepseek-OCR. The discussion highlights the pros and cons of these various approaches focusing on practical implementation and usage.Featuring:Chris Benson – Website, LinkedIn, Bluesky, GitHub, XDaniel Whitenack – Website, GitHub, XSponsors: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.aiFramer – Design and publish without limits with Framer, the free all-in-one design platform. Unlimited projects, no tool switching, and professional sites—no Figma imports or HTML hassles required. Start creating for free at framer.com/design with code `PRACTICALAI` for a free month of Framer Pro.Upcoming Events: Register for upcoming webinars here!

Episode 165 is on the scene and we review the Thanksgiving Classic from Southern National Motorsports Park where Doug Barnes Jr came from the rear and took home the trophy for arguably his biggest win of his career. We discuss the race itself, address the Lee Pulliam/Josh Berry drama and give our takes on the action from the tech shed. We also talk about who else took home a trophy from Southern National in addition to Newport, Wall Stadium and Freedom Factory!Blake McCandless started his broadcasting career covering iRacing events as a hobby while obtaining any opportunity he could get his hands on while attending Gardner Webb University. It was that hustle that caught the ear of Dale Earnhardt Jr and ultimately propelled him to being the voice at Ace Speedway and part of the CARS Tour announce team. Blake tells us his story this week.Winter Park Florida's George Gorham Jr picked up the biggest win of  his Super Late Model career Saturday in the Billy Bigley Sr Memorial 128 UARA event at Freedom Factory in Bradenton Florida. He calls into the show to reveal his thoughts of the win, overcoming the re-draw which sent him to twelfth and shares his background of his career which has mostly seen him race the tough bull rings of his native Florida.Wall Stadium in New Jersey holds the Turkey Derby each and every Thanksgiving and has done so since 1974 except for 2020. Max Zachem was the winner on Saturday and he talks to us about his win on Saturday and we get to find out more about this Connecticut racer's  career up to this point.The Snowball Derby is coming up this weekend and we get you ready for both the Snowflake 125 Pro Late Model Event and the Super Late Model event on Sunday plus the boys discuss their Thanksgiving weekend!

Rachel Fox and Ken Shreve walk through Tuesday's market action and discuss key stocks to watch in Stock Market Today. Learn more about your ad choices. Visit megaphone.fm/adchoices

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.

Fluent Fiction - Korean: Snowflakes & Secrets: Decoding Love in Bukchon Village Find the full episode transcript, vocabulary words, and more:fluentfiction.com/ko/episode/2025-12-02-23-34-01-ko Story Transcript:Ko: 서울의 한적한 겨울날, 부엌에서는 따뜻한 김이 올라오고, 지호는 나리와 함께 북촌한옥마을의 좁은 골목길을 천천히 걸어가고 있다.En: On a quiet winter day in Seoul, warm steam rises from the kitchen, and Ji-ho is slowly walking down the narrow alley of Bukchon Hanok Village with Nari.Ko: 눈송이가 조용히 내려와 전통 기와지붕을 덮으며 마을은 마치 겨울 동화 속으로 들어온 듯하다.En: Snowflakes quietly descend and cover the traditional tiled roofs, making the village feel as if it has wandered into a winter fairy tale.Ko: "나리, 이곳 참 멋지지 않아?En: "Nari, isn't this place wonderful?"Ko: " 지호가 말했다.En: Ji-ho said.Ko: 그는 늘 모험심이 넘쳐흐르는 친구였다.En: He was always a friend overflowing with a sense of adventure.Ko: "응, 여긴 올 때마다 새로워.En: "Yes, every time I come here, it feels new.Ko: 이곳엔 옛 이야기가 숨겨져 있을 것 같아," 나리가 미소지으며 대답했다.En: It's like there are old stories hidden in this place," Nari replied with a smile.Ko: 그녀는 역사를 좋아하며, 오래된 이야기들 속에서 위안을 찾곤 했다.En: She loved history and often found solace in old stories.Ko: 눈 덮인 골목을 돌던 중, 두 사람은 양놈하는 한옥 구석에서 오래된 다락방을 발견했다.En: While turning the snow-covered alley, the two stumbled across an old attic tucked in a corner of a hanok.Ko: 호기심 많은 지호는 다락방 문을 열고 들어갔다.En: The curious Ji-ho opened the attic door and went inside.Ko: 그곳 한켠에서 낡은 상자를 발견했다.En: They discovered an old box tucked away in a corner.Ko: 상자 안에는 수수께끼 같은 암호문을 쓴 사랑의 편지들이 있었다.En: Inside the box were love letters written in cryptic codes.Ko: "이게 뭐지?En: "What is this?Ko: 누군가 겨울 밤을 보내며 이걸 썼을 것 같아," 지호가 편지를 읽으며 말했다.En: Someone must have written this on a winter night," Ji-ho said as he read the letters.Ko: "암호문처럼 보여.En: "It looks like a code.Ko: 우리 이걸 풀어보지 않을래?En: Why don't we try to decipher it?"Ko: " 나리가 그의 옆으로 다가오며 제안했다.En: Nari suggested, moving closer to him.Ko: 지호는 대학이 겨울방학에 들어가자, 이 미스터리를 푸는 일에 몰두하기로 결심했다.En: When the university went on winter break, Ji-ho decided to devote himself to solving this mystery.Ko: 나리와 함께 비밀스런 일로 가슴이 두근거렸다.En: With Nari, his heart raced with the secret endeavor.Ko: 그러나 편지의 암호를 이해하는 것은 쉽지 않았다.En: However, understanding the code in the letters was not easy.Ko: 두 사람은 좌절하기도 했지만, 서로에게서 힘을 얻으며 결코 포기하지 않았다.En: The two experienced moments of frustration, but they never gave up, drawing strength from each other.Ko: 며칠 밤낮을 고심한 끝에, 지호와 나리는 드디어 암호를 해독했다.En: After pondering for several days and nights, Ji-ho and Nari finally deciphered the code.Ko: 그곳에는 수십 년 전, 금지된 사랑 이야기와 주고받은 약속들이 숨겨져 있었다.En: Hidden within were stories of forbidden love and exchanged promises from decades ago.Ko: "진심이 들어간 사랑이었어," 나리가 감격하면서 말했다.En: "It was a love filled with sincerity," Nari remarked emotionally.Ko: 이 발견은 지호와 나리를 더 가깝게 만들었다.En: This discovery brought Ji-ho and Nari closer together.Ko: 그들은 지금보다 훨씬 더 옛날의 사건에도 공감할 수 있게 되었다.En: They found themselves able to empathize with events from much further in the past.Ko: "나리, 이제 우리는 더 많은 모험을 찾아보자," 지호가 제안했다.En: "Nari, let's seek out more adventures," Ji-ho suggested.Ko: 그는 이제 자신감이 더욱 생겼으며, 나리는 새로운 모험심을 발견했다.En: He now had more confidence, and Nari discovered a new sense of adventure.Ko: 그렇게 그들은 눈 내리는 북촌의 미스터리를 풀고, 시간 속에 묻혀 있었던 사랑 이야기를 되새기며, 미래의 더 많은 탐험을 기대하게 되었다.En: Thus, they solved the mystery of snow-covered Bukchon, revisiting the love story buried in time, and looked forward to many more explorations in the future.Ko: 두 사람의 우정은 더욱 깊어졌고, 그들 앞의 많은 이야기들을 더불어 나눌 준비를 했다.En: Their friendship deepened, and they were ready to share many more stories ahead.Ko: 겨울의 마법 같은 이야기 속에서, 지호와 나리는 역사 속에 자신들을 새롭게 발견하고 있었던 것이다.En: Amid the magical winter story, Ji-ho and Nari were rediscovering themselves in history. Vocabulary Words:quiet: 한적한steam: 김alley: 골목길wandered: 들어온overflowing: 넘쳐흐르는solace: 위안attic: 다락방cryptic: 수수께끼 같은decipher: 해독frustration: 좌절pondering: 고심한sincerity: 진심empathize: 공감할adventure: 모험explorations: 탐험rediscovering: 새롭게 발견하고mystery: 미스터리tiled roofs: 기와지붕descend: 내려와stumbled: 발견했다forbidden: 금지된devote: 몰두하기로endeavor: 일understanding: 이해하는buried: 묻혀confidence: 자신감ashamed: 부끄러운promises: 약속들fluctuation: 변동distant: 먼

Learn to step up your decorating game with a class on cutting snowflakes from paper on Saturday, Dec. 13, from 1-3 p.m. at the Seguin Art League Gallery. Students must be 18 years or older. Cost to attend is and includes supplies. Class size is limited. A free companion class for kids is available if the gallery is notified in advance. To register and for information, call 830-305- 0472. The Seguin Art League Gallery is located at 104 S. Austin St. in Seguin.Article Link

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.

Live Sunday November 30th 2025 – 5pm ET.  Race Time Radio With Your Host Joe Chisholm Watch Live:  https://www.youtube.com/watch?v=lKsyd27pads  Featuring: - Alex Labbe No.42 racing the Snowflake at Five Flags Speedway – Snowball  Derby Weekend. - Herm Hordal Canadian Super Truck Series Corporate Business Development. - Trevor Seibert No.69 owner of both Penticton Speedway and AVION Motorsports. Plus More   #Racing #Motorsports #Speedways

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

Fluent Fiction - Serbian: Courage and Compassion Amidst Falling Snowflakes Find the full episode transcript, vocabulary words, and more:fluentfiction.com/sr/episode/2025-11-30-23-34-02-sr Story Transcript:Sr: Снежни пахуљици лагано су падали на прозоре канцеларије.En: Snowflakes were gently falling on the office windows.Sr: Било је тихо зимско јутро у срцу Београда.En: It was a quiet winter morning in the heart of Belgrade.Sr: Канцеларија је била живописна, украси и вештачки снег красили су просторије, али упркос празничном духу, напетост се могла осетити у ваздуху.En: The office was vivid, adorned with decorations and artificial snow, but despite the festive spirit, tension could be felt in the air.Sr: Милена је седела за својим столом, гледајући на екран пун бројки и рокова.En: Milena was sitting at her desk, looking at a screen full of numbers and deadlines.Sr: Жељела је да покаже своје способности и да напредује на послу.En: She wanted to demonstrate her capabilities and advance in her job.Sr: Њен менаџер, Александар, био је захтеван и увек је тражио више.En: Her manager, Aleksandar, was demanding and always asked for more.Sr: У том тренутку, нова колегиница Јелена, која је била позната по својој љубазности, улази у канцеларију.En: At that moment, a new colleague, Jelena, known for her kindness, entered the office.Sr: Милена је приметила да Јелена изгледа бледо и као да јој не иде добро.En: Milena noticed that Jelena looked pale and seemed unwell.Sr: Гласно је закашљала, а Милена се одмах забринула.En: She coughed loudly, and Milena immediately became concerned.Sr: - "Јелена, јеси ли добро?En: "Jelena, are you okay?"Sr: " упитала је Милена, прилазећи јој.En: asked Milena, approaching her.Sr: Јелена је једва изустила: "Мислим да ми није добро.En: Jelena barely managed to say, "I think I'm not well.Sr: Може бити алергија.En: It might be an allergy."Sr: "У том тренутку Александар улази у собу, носећи гомилу папира.En: At that moment, Aleksandar entered the room, carrying a pile of papers.Sr: Милена оклева, размишљајући да ли да прекине посао или да помогне Јелени.En: Milena hesitated, contemplating whether to interrupt her work or help Jelena.Sr: Јелена је тог тренутка пала на под.En: Just then, Jelena collapsed on the floor.Sr: Паника је захватила канцеларију.En: Panic engulfed the office.Sr: Милена, не размишљајући, узела је телефон и позвала хитну помоћ.En: Without thinking, Milena grabbed the phone and called an ambulance.Sr: Брзо је пришла Јелени и покушала помоћи како је знала, сећајући се прве помоћи коју је учила.En: She quickly approached Jelena and tried to help as best as she could, remembering the first-aid course she had taken.Sr: Док су чекали хитну помоћ, Милена је остала на земљи поред њене колегинице, не дозвољавајући паници да је савлада.En: While waiting for the ambulance, Milena remained on the ground beside her colleague, not allowing panic to overwhelm her.Sr: Александар је изгледао забринуто и после неколико минута, схватио је колико је ситуација озбиљна.En: Aleksandar looked worried, and after a few minutes, realized the seriousness of the situation.Sr: Када је хитна помоћ стигла и помогла Јелени, Александар је са олакшањем погледао Милену.En: When the ambulance arrived and helped Jelena, Aleksandar looked at Milena with relief.Sr: - "Одлично си се снашла, Милена," рекао је, његова уобичајена строга маска нагло је спала, замењена топлим осмехом.En: "You managed excellently, Milena," he said, his usual stern mask abruptly replaced by a warm smile.Sr: Јелена је касније оздравила захваљујући брзој интервенцији своје колегинице.En: Later, Jelena recovered thanks to her colleague's quick intervention.Sr: Милена је стекла самопоуздање, схвативши да може балансирати бригу према људима и радне обавезе.En: Milena gained confidence, realizing she could balance care for people with work responsibilities.Sr: У канцеларији је постала позната по својој храбрости и саосећајности, а њена решеност и одговорност су је довели ближе жељеном унапређењу.En: She became known in the office for her courage and compassion, and her determination and responsibility brought her closer to the desired promotion.Sr: И тако, упркос зимској хладноћи, Миленино срце је било топло и пуно поноса.En: And so, despite the winter cold, Milena's heart was warm and full of pride. Vocabulary Words:gently: лаганоvivid: живописнаadorned: украшенаdecorations: украсиdespite: упркосtension: напетостcapabilities: способностиdemonstrate: покажеdemanding: захтеванpale: бледоconcerned: забринутаallergy: алергијаcollapsed: палаpanic: паникаengulfed: захватилаambulance: хитна помоћintervention: интервенцијаrealized: схватиоseriousness: озбиљностrelief: олакшањеconfidence: самопоуздањеbalance: балансиратиcourage: храбростcompassion: саосећајностdetermination: решеностpromotion: унапређењеpride: поносstern: строгаoverwhelm: савладаfestive: празнични

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  

Fluent Fiction - Dutch: Snowflakes and Serendipity: A Chance Encounter in Amsterdam Find the full episode transcript, vocabulary words, and more:fluentfiction.com/nl/episode/2025-11-28-23-34-02-nl Story Transcript:Nl: De sneeuw dwarrelt zachtjes naar beneden op Amsterdam Centraal.En: The snow flutters gently down onto Amsterdam Centraal.Nl: Het is druk in het station.En: The station is busy.Nl: Iedereen is op zoek naar warmte en gezelligheid.En: Everyone is in search of warmth and coziness.Nl: Inge loopt nerveus rond, haar jas stevig dichtgetrokken tegen de kou.En: Inge walks around nervously, her coat tightly wrapped against the cold.Nl: Ze voelt zich alleen in de menigte.En: She feels alone in the crowd.Nl: Ze is in Amsterdam voor een werkconferentie, maar de drukte van het seizoen maakt haar nog eenzamer.En: She is in Amsterdam for a work conference, but the hustle and bustle of the season makes her feel even lonelier.Nl: Iedereen rent langs haar heen, richting treinen, familie, feest.En: Everyone rushes past her, heading towards trains, family, celebrations.Nl: Bram, een jonge muzikant, komt net terug van een optreden.En: Bram, a young musician, is just returning from a performance.Nl: Zijn gitaar op zijn rug, ogen schitterend ondanks de sneeuwstorm die zijn plannen vertraagde.En: His guitar on his back, eyes sparkling despite the snowstorm that delayed his plans.Nl: Hij kijkt uit naar Sinterklaas, een pauze van zijn drukke leven, maar ook dat voelt als een kam van verwachtingen van zijn familie.En: He looks forward to Sinterklaas, a break from his busy life, but even that feels like a burden of expectations from his family.Nl: Het station is vol, de treinen vertraagd of geannuleerd.En: The station is crowded, the trains delayed or canceled.Nl: Hij zucht en leunt tegen een van de stenen pilaren.En: He sighs and leans against one of the stone pillars.Nl: Inge, die zich verloren voelt in de drukte, ziet Bram staan, zijn donkere krullen een tikje nat van de sneeuw.En: Inge, feeling lost amidst the crowd, sees Bram standing there, his dark curls slightly wet from the snow.Nl: Ze aarzelt even, maar haar verlangen naar een gesprek wint het van de angst.En: She hesitates for a moment, but her desire for conversation overcomes her fear.Nl: Ze loopt naar hem toe.En: She walks up to him.Nl: "Wacht jij ook op een trein?"En: "Are you also waiting for a train?"Nl: vraagt ze, haar stem zachtjes, maar duidelijk.En: she asks, her voice soft, yet clear.Nl: Bram richt zijn aandacht op haar.En: Bram turns his attention to her.Nl: Zijn glimlach breekt de kou.En: His smile breaks through the cold.Nl: "Ja", zegt hij.En: "Yes," he says.Nl: "Maar de treinen hebben vandaag andere plannen, geloof ik."En: "But I think the trains have other plans today."Nl: Ze lachen beiden, een moment van samenzijn in de chaos.En: They both laugh, a moment of connection amidst the chaos.Nl: Ze besluiten naar het café binnen te gaan, zich warmend aan koppen met dampende chocolademelk.En: They decide to go into the café, warming up with steaming cups of hot chocolate.Nl: Buiten raast de storm, maar binnen delen ze verhalen.En: Outside, the storm rages, but inside they share stories.Nl: Inge vertelt over haar werk, haar eenzame gevoel in de vakantieperiode.En: Inge talks about her job, her lonely feeling during the holiday season.Nl: Bram praat over de druk van zijn muziekcarrière, de constante zoektocht naar goedkeuring.En: Bram talks about the pressures of his music career, the constant search for approval.Nl: Ze luisteren naar elkaar, vinden comfort in elkaars gezelschap.En: They listen to each other, finding comfort in each other's company.Nl: De uren verstrijken.En: The hours pass.Nl: Het café wordt hun toevluchtsoord, een plek voor ontdekking en verbinding.En: The café becomes their refuge, a place for discovery and connection.Nl: Inge voelt een warmte die dieper gaat dan de chocolademelk.En: Inge feels a warmth that goes deeper than the hot chocolate.Nl: Bram geniet van de rust die Inge weet te brengen, de eenvoud van hun gedeelde momenten.En: Bram enjoys the peace that Inge brings, the simplicity of their shared moments.Nl: De storm begint te luwen.En: The storm begins to subside.Nl: Treinen worden weer aangekondigd.En: Trains are being announced again.Nl: De drukte herneemt.En: The crowd resumes its hustle.Nl: Maar in plaats van naar de perrons te haasten, blijven Inge en Bram zitten.En: But instead of rushing to the platforms, Inge and Bram stay seated.Nl: Ze hebben iets gevonden, een band die hen verbindt.En: They have found something, a bond that connects them.Nl: "Zullen we nog wat langer blijven?"En: "Shall we stay a little longer?"Nl: stelt Inge voor.En: Inge suggests.Nl: Bram knikt, zijn beslissing duidelijk.En: Bram nods, his decision clear.Nl: Ze besluiten samen Amsterdam te verkennen, de straten onder een deken van sneeuw, lichtjes sprankelend voor Sinterklaas.En: They decide to explore Amsterdam together, the streets under a blanket of snow, lights sparkling for Sinterklaas.Nl: Ze delen lach, warmte en de belofte van iets nieuws, iets moois.En: They share laughter, warmth, and the promise of something new, something beautiful.Nl: Inge lacht als ze haar nieuwe vriend volgt.En: Inge laughs as she follows her new friend.Nl: Haar hart, voorheen zo gesloten, voelt nu open.En: Her heart, once so closed, now feels open.Nl: Bram, voor de eerste keer in lange tijd, voelt zich vrij van verwachtingen.En: Bram, for the first time in a long time, feels free from expectations.Nl: Ze omarmen de magie van de stad, hun eigen verhaal beginnend, in de heerlijke verwondering van een toevallige ontmoeting.En: They embrace the magic of the city, beginning their own story, in the delightful wonder of a chance encounter. Vocabulary Words:flutters: dwarreltcoziness: gezelligheidnervously: nerveuswrapped: dichtgetrokkenhustle: druktebustle: drukterushes: rentsparkling: schitterenddespite: ondanksstorm: sneeuwstormdelayed: vertraagdecanceled: geannuleerdsighs: zuchtleans: leuntpillar: pilarenhesitates: aarzeltovercomes: wintchaos: chaosconnection: verbindingrages: raastrefuge: toevluchtsoorddiscovery: ontdekkingshared: gedeeldesubside: luwenresumes: herneemtblanket: dekensparkling: sprankelendexpectations: verwachtingendelightful: heerlijkewonder: verwondering

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.

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.

Serving SMB mid-market customers is one thing, but when you go upstream to enterprise sales, everything changes: go-to-market strategy, the sales process, how you structure deals, even how you define customer value. Today's guest, Andrew Casey, has helped scale four SaaS companies: ServiceNow, WalkMe, Lacework, and his current company, Amplitude. At ServiceNow, he worked closely with Snowflake's Mike Scarpelli and Coatue's David Schneider, and he was instrumental in establishing the company's deal desk to support its sales motion. As an operationally focused CFO, he shares a wealth of knowledge on the importance of staying close to the customer, structuring deals that work for both sides, establishing transparency in usage-based pricing, aligning incentives and strategy in sales, the pros and cons of multi-year deals, the problem with auto-renewals and what to do instead, and how to adapt your go-to-market strategy when moving from SMB mid-market to enterprise.—SPONSORS: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/runFidelity 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.—Andrew Casey on LinkedIn: https://www.linkedin.com/in/andrew-casey-6b14875/Amplitude: https://amplitude.comCJ on LinkedIn: https://www.linkedin.com/in/cj-gustafson-13140948/Mostly metrics: https://www.mostlymetrics.com—RELATED EPISODES:An Operationally-Focused CFO's Guide to Scaling From SMB to Enterprise: Lessons From ServiceNowhttps://youtu.be/iUpMAQ14YpM—TIMESTAMPS:00:00:00 Preview and Intro00:03:27 Sponsors – Metronome, Mercury, RightRev00:07:08 Andrew joins the podcast00:08:10 Becoming an operational CFO00:09:25 Early customer-empathy beginnings at Sun00:11:34 How customer-empathy shaped Andrew's career00:14:08 Navigating HP's troubled EDS contracts00:16:05 Sponsors – Tipalti, Aleph, Fidelity Private Shares00:19:37 Returning from ads – running toward hard markets00:20:13 Scaling ServiceNow's sales operations00:23:27 Breaking into the trusted circle after the Q1 miss00:25:26 Building and scaling the ServiceNow deal desk00:28:11 Principles of transparent, value-aligned pricing00:30:17 Rethinking metering models and usage alignment00:33:01 Diagnosing budget constraints vs. cash timing00:36:14 Incentives, comp plans, and high-trust selling00:39:21 Training enterprise reps for long-term value00:40:17 Multi-year deals and when they actually work00:43:05 Overselling, discount levers, and ZIRP contract bloat00:45:58 How enterprise scale transforms go-to-market00:51:03 Pipeline coverage and maturity modeling00:54:02 Not all pipeline dollars are created equal00:57:05 Career-risk mindset in enterprise selling01:00:02 Defining enterprise and moving upmarket01:01:00 A business-first approach to the CFO role01:03:10 Getting hired at ServiceNow01:06:37 Building GTM finance, deal desk, and a 400-person org01:08:00 Lightning round – biggest mistakes and IR lesson01:11:10 Advice to his younger self and leading through change01:13:34 Defining customers, ARR accuracy, and hierarchy pitfalls01:15:12 The wildest expense attempt ever submitted#RunTheNumbersPodcast #SaaSFinance #EnterpriseSelling #GTMStrategy #CFOInsights 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

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.

This Broadcast Aired Live: Sunday Nov 23rd 2025 – 5pm ET.  With Your Race Time Radio Host Joe Chisholm Watch Live: https://www.youtube.com/watch?v=HX2kCvRFKrE  Featuring:  - Craig Slaunwhite No.99 will be running the Snowflake 125 at Five Flags Speedway - Jarrett Butcher No.54 will be running the snowflake 125 at Five Flags - Derek Lynch talks racing, ACT Series Inductee to Vermont Motorsports hall of fame for Tom Curly - Super Late Model Series announces new Race Director – Denver Matchett - Plus more racing news, join us This program will also air Tuesday 4pm ET on Rev Tv Canada

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/)

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

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

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

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.