Podcasts about ai first company

In this week's episode, Raza speaks with James Theuerkauf, CEO of Syrup Tech, and Sara Ittelson, Partner at Accel, to explore the challenges and opportunities for entrepreneurs in this transformative era. They discuss building AI-first companies and the lessons learned from scaling in a rapidly evolving space. With practical tips on leveraging data, creating competitive advantages, and sustaining passion for the long haul, this episode offers invaluable guidance for founders in AI.Chapters:00:00 - Introduction and Guest Backgrounds  01:27 - Syrup Tech's Approach to AI in Retail  03:29 - The Role of AI in Demand Forecasting  08:49 - Building Effective AI Systems and Teams  15:30 - How Generative AI is Shaping Businesses  19:18 - Advice for Founders in the AI Era  28:15 - Building an AI-First Company 33:26 - Innovations and Trends in AI  38:47 - Is AI Overhyped or Underhyped?  42:46 - Closing Thoughts and Reflections--------------------------------------------------------------------------------------------------------------------------------------------------Humanloop is the LLM evals platform for enterprises. We give you the tools that top teams use to ship and scale AI with confidence. To find out more go to humanloop.com

In this episode, we dive into the world of productivity and AI-driven meeting tools with Aydin Mirzaee, the co-founder and CEO of Fellow.app. Aydin shares his journey from founding and scaling Fluidware to creating Fellow, a groundbreaking app designed to transform how teams collaborate and manage meetings. Discover how Fellow.auto-joins your video calls to provide accurate transcripts, actionable summaries, and key insights. Learn how the app integrates seamlessly with tools like Slack, Google Docs, and Linear, enhancing productivity across organizations. Aydin also discusses the future of leadership and technology, offering actionable advice for managers and entrepreneurs striving to build high-performing teams. Host: Jake Aaron Villarreal, leads the top AI Recruitment Firm in Silicon Valley www.matchrelevant.com, uncovering stories of funded startups and goes behinds to scenes to tell their founders journey.  If you are growing AI Startup or have a great story to tell, email us at: jake.villarreal@matchrelevant.com  

How is AI changing the way we build product, the rituals we rely on to ship consistently innovative software, and our fundamental strategy as a customer service platform? In the latest episode of Intercom on Product, our Co-founder and Chief Strategy Officer Des Traynor and our Chief Product Officer Paul Adams discuss all the far-reaching ways we are rethinking the basics and reinventing the company to adapt to the era of AI.Watch this episode on YouTube: https://youtu.be/etre_aw6_0o?si=fkWII4slHlsYnxpNNewsletters:Sign up for The Ticket: A twice-monthly newsletter bursting with all the insights, trends, tips, and assets your team needs to embrace the future of customer service. https://www.intercom.com/blog/newsletterSign up for Intercom on Product: a monthly newsletter sharing our latest thinking on building and designing great products, and how that's changing in the age of AI. https://inter.com/productpodcastSay hi on

In this episode, we explore building an AI-first company and engineering org with Rong Yan (CTO @ HeyGen)! We dive into the potential of HeyGen's interactive avatars, imagining how they can help engineering leaders scale their impact, foster team alignment, coach effectively, and accelerate decision-making. Rong shares insights on the structure of an AI-first company and optimizing for AI teams with engineering capabilities. Plus what it means to “lead with speed” and balance product quality and velocity in an AI-first company and key leadership principles, like why it's crucial to invest in your top performers and how to act as a productivity multiplier.ABOUT RONG YANRong Yan is HeyGen's Chief Technology Officer. He brings the company's technological mission of making visual storytelling accessible to everyone, to life. Rong has nearly 20 years of engineering leadership experience from companies including IBM, Facebook, Square, Snap, and HubSpot.Most recently, Rong was the VP of Engineering at Hubspot where he led the Data Intelligence and Automation product line and spearheaded the development of an intelligent CRM platform using data and AI. He was also the Director of Engineering turned Senior Director of Engineering at Snap, where he led a product engineering team of over 250 engineers across six locations, responsible for developing, optimizing, and maintaining core Snapchat features, including Camera, Messaging, Stories, Discover, Memories, and Identity.He holds a Bachelor of Science in Computer Science from Tsinghua University and a PhD in Computer Science from Carnegie Mellon University.SHOW NOTES:Introducing HeyGen's interactive avatar & what this means for eng leaders (3:40)How a visual layer for AI agents could scale your leadership & build alignment in your teams and orgs (5:58)The different levels of communication flow within a company (8:17)How interactive avatars can enable interactions and coaching at scale (10:46)The possibilities of interactive avatars for personalized coaching, habit building, and behavior change (14:02)Insights on building an AI-first company (20:29)What the structure of an AI-first company looks like (22:05)How leading with speed works within an AI-first company (24:10)Navigating the balance between product velocity & quality (27:23)The impact of the “leading with speed” paradigm on hiring (30:34)The role of an engineering leaders is to be a productivity multiplier (32:40)How AI impacts productivity as an eng leader (34:43)Where to start when it comes to improving productivity (36:38)AI's role in blurring the lines between IC & management (39:48)Spend more time on your top people (42:45)Rapid fire questions (44:21)LINKS AND RESOURCESHeyGen - With HeyGen, businesses can simply write their script and generate their video. No camera, no budget, no headaches. We've helped over 45,000 companies and millions of people create, localize, and personalize videos at scale.This episode wouldn't have been possible without the help of our incredible production team:Patrick Gallagher - Producer & Co-HostJerry Li - Co-HostNoah Olberding - Associate Producer, Audio & Video Editor https://www.linkedin.com/in/noah-olberding/Dan Overheim - Audio Engineer, Dan's also an avid 3D printer - https://www.bnd3d.com/Ellie Coggins Angus - Copywriter, Check out her other work at https://elliecoggins.com/about/

A Daily Chronicle of AI Innovations on November 26th 2024

David Hahn baut mit remberg den KI-Copilot für die Anlagen des deutschen Mittelstands und Konzernen aus Produktion und Industrie. Derzeit werden über eine Million Anlagen mit der XRM-Software verwaltet. Nach einer erfolgreichen 11 Millionen Euro Series A Round im Jahr 2022, vollzieht remberg nun die Transformation zur AI-first Company.David spricht über seine Gedanken zum Thema Company Building, Fundraising, und Produktentwicklung. Zudem sprechen wir über die Fähigkeit, rechtzeitig einen Pivot zu machen, um Veränderungen auf der Kundenseite sowie auf neue Technologien rechtzeitig reagieren zu können. Nachdem ich, Fabian, von mehreren Seiten gehört habe, dass David ein sehr hilfreicher Gesprächspartner für viele Early-Stage Gründer ist, wollte ich die Person dahinter mal kennenlernen.So haben David und ich sowohl telefoniert, als auch darüber gesprochen, wie wir einen gemeinsamen Podcast gestalten können und ich habe versucht einen möglichst starken Röntgenblick auf remberg zu werfen, sodass wir in späteren Phasen daran anknüpfen und weitere Erfahrungswerte aus dem Wachstum heraus beleuchten können.Was du lernst:Herausforderungen der Produktentwicklung und der Erreichung des Product-Market-FitsFundraising Strategien für Series A und Series BDie Integration von KI in bestehende Produkte vs. die Entwicklung neuer AI-first ProdukteStrategien zum Agieren im MittelstandDie Fähigkeit des rechtzeitigen PivotsWeiterführende Links:ALLES ZU UNICORN BAKERY: https://zez.am/unicornbakeryDavid Hahn:remberg: https://remberg.de/ LinkedIn: https://www.linkedin.com/in/davidhahnmunich/ Unicorn Bakery WhatsApp Broadcast: Hier erfährst du alles, was du als Gründer wissen musst: https://drp.li/jrq5SUnser WhatsApp Broadcast hält dich mit Einblicken in die Szene, News und Top-Inhalten auf dem Laufenden.Marker:(00:00:00) Produktentwicklung für den Mittelstand (00:12:07) ICP finden & entwickeln(00:17:23) Pivoting (00:21:52) Nutzung von Experten zur Hypothesenvalidierung (00:24:39) Vertrieb im Mittelstand (00:30:23) B2B SaaS Meilenstein: Die erste Mio ARR (00:34:10) Integration von KI vs. KI-first (00:43:32) Pricing (01:01:27) Fundraising Strategien (01:20:14) Energiemanagement als Gründer und Vater Hosted on Acast. See acast.com/privacy for more information.

Ash Fontana discusses his book "The AI-First Company," and how to compete and win with Artificial Intelligence. Ash became one of the most recognized startup investors in the world after launching online investing at AngelList. He then became a Managing Director of Zetta, the first investment fund that focused on AI. He has appeared in Fast Company, Bloomberg, Forbes, and CNBC, among others. Listen for three action items you can use today. Host, Kevin Craine Do you want to be a guest? DigitalTransformationPodcast.net/guest

Episode Summary:In this episode of First Cheque hosts Cheryl Mack and Maxine Minter sit down with the distinguished investor Ash Fontana to explore the intricacies of early-stage investing and the evolving landscape of artificial intelligence (AI). The conversation delves into Fontana's diverse experiences, ranging from his formative years building web-based marketplaces to his critical role in establishing the AI investment frontier.Fontana shares a captivating narrative of his investment philosophy, advocating for the significance of first-check investments in shaping the trajectories of startups. With an emphasis on determining the long-term competitive advantages of AI ventures, the discussion uncovers the importance of specialization and the strategic deployment of venture funds amidst a rapidly transforming technology sector. Key themes revolve around adapting venture capital models, the intersection of network building, and the fortune of investment careers, providing listeners with a wealth of actionable insights.Key Takeaways:First Cheque investments are critical in establishing a startup's potential and culture.AI investments should focus on companies that exhibit a sustainable competitive advantage, potentially characterized by data network effects.Venture Capital (VC) requires specialisation, especially in fast-evolving fields like AI, to keep pace with rapid advancements and make informed investment decisions.The traditional VC model faces criticism for its performance and lack of innovation; exploring models with lower fees and higher carry could better align incentives.Building and maintaining a robust network is essential for success and longevity in the venture capital industry.Notable Quotes:"The existence proof of adding value is that you allowed the entity through which all subsequent value is created to exist.""As soon as you're competing, you're losing. You should just aim to be in non-competitive situations.""I invest in technology cycles, not market cycles.""I find it really hard to work for other people and in big companies, but I would have worked for a big growth stage or growth stage fund, like Insight, Summit, Bain, one of them.""The bigger the network you can build, the better, the more useful you will be, and therefore, the more lucky you will get."Resources:Ash Fontana's book: "The AI-First Company"Ash Fontana's LinkedIn profileThanks to our sponsors for helping to make this episode of First Cheque possible:Vanta: Join 7,000 global companies like Atlassian and Dovetail that use Vanta to build trust and prove security in real-time. Get 10% offScendar: Scendar is the OG startup accounting firm in Australia. Free 1-hour consultation about your Business' growth plans and finance needs. https://dayone.fm/scendarTuro: Turo is the world's largest carsharing marketplace and it's the perfect app for travel. Download the Turo app and book cars from $38/day Download the Turo app and book cars from $38/day. https://dayone.fm/turo

Ralf Bremer ist Communications Senior Manager & Site Lead Google Berlin.

Do you want to unlock exponential growth for your business without significantly increasing resources? This episode of Leveraging AI with Adnan Boz is a must-listen for business leaders and AI enthusiasts alike.In this enlightening conversation, we deep dive into how businesses can leverage AI to enable exponential growth independent of resource requirements. We discuss the concept of a digital operating model and the fundamental shift it represents in traditional business structures.

בשנת 2016 הכריז מנכ"ל גוגל, סונדר פיצ'אי, שגוגל היא AI-First Company אבל בניגוד להבטחה המפוצצת המתחרות שלה, ובראשן מיקרוסופט, עוקפות אותה בסיבוב. בבת אחת חשף המאבק סביב פיתוח טכנולוגיות בינה מלאכותית את שלל הבעיות של גוגל שעד כה היו סמויות מהעין: מבעיות ניהוליות ועד בעיות טכנולוגיות, מהיעדר חזון ועד ביצועים בינוניים, מבעיית מודל עסקי ועד איום על שולי הרווח. לראשונה מזה שנים גוגל נמצאת בעמדת נחיתות זאת למרות שהיו לה תנאי פתיחה מצויינים. איך זה קרה לה והאם היא תצליח לקום מהקרשים?קישורים:פורבס: מראשונה לאחרונהhttps://www.forbes.com/sites/richardnieva/2023/02/08/google-openai-chatgpt-microsoft-bing-ai/?sh=422e2c7e4de4טקראנץ': גוגל מאבדת שליטהhttps://techcrunch.com/2023/02/10/google-is-losing-control/בינג החדש ממציא נתוניםhttps://dkb.blog/p/bing-ai-cant-be-trustedהמבוך בתוך העכבריםhttps://medium.com/@pravse/the-maze-is-in-the-mouse-980c57cfd61aנועם ברדין: למה עזבתי את גוגלhttps://www.linkedin.com/pulse/why-did-i-leave-google-stay-so-long-noam-bardin/

בשנת 2016 הכריז מנכ"ל גוגל, סונדר פיצ'אי, שגוגל היא AI-First Company אבל בניגוד להבטחה המפוצצת המתחרות שלה, ובראשן מיקרוסופט, עוקפות אותה בסיבוב. בבת אחת חשף המאבק סביב פיתוח טכנולוגיות בינה מלאכותית את שלל הבעיות של גוגל שעד כה היו סמויות מהעין: מבעיות ניהוליות ועד בעיות טכנולוגיות, מהיעדר חזון ועד ביצועים בינוניים, מבעיית מודל עסקי ועד איום על שולי הרווח. לראשונה מזה שנים גוגל נמצאת בעמדת נחיתות זאת למרות שהיו לה תנאי פתיחה מצויינים. איך זה קרה לה והאם היא תצליח לקום מהקרשים?קישורים:פורבס: מראשונה לאחרונהhttps://www.forbes.com/sites/richardnieva/2023/02/08/google-openai-chatgpt-microsoft-bing-ai/?sh=422e2c7e4de4טקראנץ': גוגל מאבדת שליטהhttps://techcrunch.com/2023/02/10/google-is-losing-control/בינג החדש ממציא נתוניםhttps://dkb.blog/p/bing-ai-cant-be-trustedהמבוך בתוך העכבריםhttps://medium.com/@pravse/the-maze-is-in-the-mouse-980c57cfd61aנועם ברדין: למה עזבתי את גוגלhttps://www.linkedin.com/pulse/why-did-i-leave-google-stay-so-long-noam-bardin/

Interview mit Philipp Adamidis, Co-Founder und CEO von QuantPi In der Nachmittagsfolge begrüßen wir heute Philipp Adamidis, Co-Founder und CEO von QuantPi, und sprechen mit ihm über die erfolgreich abgeschlossene Pre-Seed-Finanzierungsrunde in Höhe von 2,5 Millionen Euro. QuantPi hat eine Plattform entwickelt, mit der Unternehmen sicherstellen können, dass rechtliche, wirtschaftliche, ethische und Reputationsrisiken im Zusammenhang mit ihren KI-Lösungen identifiziert, bewertet und entschärft werden. Zahlreiche Initiativen zur Regulierung und Standardisierung von KI, wie beispielsweise der Artificial Intelligence Act der Europäischen Union (AIA), machen es notwendig, dass KI-basierte Produkte effizient, sicher und konform sind. Durch den AIA werden Unternehmen zum Beispiel mit einer Geldstrafe von bis zu 6% des weltweiten Jahresumsatzes belegt, wenn sie die getroffenen Entscheidungen ihrer künstlichen Intelligenz nicht erklären können. Die Plattform sammelt dafür Artefakte und Metriken über KI-Systeme in den wichtigsten Risiko- und Prüfungsdimensionen und lässt sich nahtlos mit modernen ML- und BI-Tools integrieren. Nach einer Forschungszeit von knapp 7 Jahren wurde QuantPi im Jahr 2020 von führenden Köpfen der Mathematik, Informatik und Wirtschaftswissenschaften als Spin-off des CISPA-Helmholtz-Zentrums für Informationssicherheit und der Universität des Saarlandes gegründet. Ursprünglich sollte lediglich eine Black-Box-KI durch eXplainable AI verständlich gemacht werden. Mit der Forschung und Entwicklung hat sich die Technologie allerdings zu einer ganzheitlichen Plattform entwickelt, die KI sicherer und für die verschiedenen Akteure in Gesellschaft, Forschung und Wirtschaft verständlicher machen kann. Die Saarbrückener Entwicklungsplattform für Responsible AI hat nun in einer Pre-Seed-Finanzierungsrunde 2,5 Millionen Euro unter der Führung von Capnamic eingesammelt. Der deutsche Early-Stage Venture Capital Investor stellt seinen Portfoliounternehmen neben der finanziellen Unterstützung auch sein globales Netzwerk, Hands-On Support und Mentoring zur Verfügung. First Momentum, der Autor von „The AI-First Company“ namens Ash Fontana, der Ex-Instana-Gründer Mirko Novaovic und weitere Business Angels haben sich ebenfalls an der Runde beteiligt. Das frische Kapital möchte QuantPi für die Erweiterung des Teams und den Beginn der Kommerzialisierung der Plattform mit Fokus auf hochsensible und aufgabenkritische Anwendungsfälle in den Bereichen Finanzdienstleistungen, Gesundheitswesen sowie autonomes Fahren einsetzen.

On this podcast I am joined by Ash Fontana, AI start-up investor with Zetta Venture Partners and technology industry thought leader, to talk about his new book: The AI First Company: How to compete and win with Artificial Intelligence. If you are focused on trying to transform your company into an AI powered leader in your industry, Ash's book is going to end up being a well worn and dog eared resource that you will return to again and again!

Today's guest is Ash Fontana, Special Advisor at Zetta Venture Partners based in the Bay Area. After recently publishing his book, “The AI-First Company,” Ash joins us again on the show to discuss some of the core transferable lessons he's learned. Our topic for this episode is advantage. Ash discusses a way of thinking about building momentum around data and gaining long-term advantage as a result. This episode is one of two episodes Ash recently recorded with us. If you enjoyed today's episode, be sure to tune in to his second episode on The AI Consulting Podcast to gain insight on how services companies can turn into AI product companies. 

Ash Fontana discusses his book "The AI-First Company," and how to compete and win with Artificial Intelligence. Ash became one of the most recognized startup investors in the world after launching online investing at AngelList. He then became a Managing Director of Zetta, the first investment fund that focused on AI. He has appeared in Fast Company, Bloomberg, Forbes, and CNBC, among others. Listen for three action items you can use today. Host, Kevin Craine Do you want to be a guest?

Welcome to GroundTruth by Dogpatch Advisors, a podcast about company builders, leadership, and how operators use data to build the future of sales. To learn more, check out http://www.groundtruthpod.com (www.groundtruthpod.com) for other Ground Truth episodes and a deeper dive into each story.  In this episode, we talk to Ash Fontana, technology investor and author of the book The AI-First Company. Growing up in Australia, Ash began his path studying law and finance, then quickly turned into the tech space in Silicon Valley. His learnings from investing, building and selling his own startup and being early at Angelist, are distilled into his practical book The AI-First Company. In this book, Ash presents a completely new form of competitive advantage through AI for any kind of business. Learn all about Ash's book, his inspiration, the process behind it, and what he foresees for companies who adopt the AI-First model.  Podcast Summary: 01:01 -  Who is Ash Fontana? Growing up in Australia with Jesuit education and public speaking as his foundation. 03:15 - Ash's first tech companies: What he learned about handling data and how he went from law to full-time AI.  07:52 - The inspiration behind the book: How to put a completely new form of competitive advantage into actionable words, checklists, frameworks, and illustrations. 15:41 -  Data Leaning Effects and how to observe things at scale: Is there a potential for impactful dailies in this business model? 22:23 - Involving different experts in the process: How to build a culture and a feedback loop around the AI-First Model. 30:17 - What Ash hopes the book brings to people: Giving people the power of competitive advantage + Ash's next book.  Episode Resource: Find Ash on https://twitter.com/ashfontana?ref_src=twsrc%5Egoogle%7Ctwcamp%5Eserp%7Ctwgr%5Eauthor (Twitter )and  https://www.linkedin.com/in/ashfontana/?originalSubdomain=ch (LinkedIn) https://www.theaifirstcompany.com/ (The AI-First Company) https://www.amazon.com/-/es/Ash-Fontana/dp/0593330315/ref=sr_1_1?__mk_es_US=%C3%85M%C3%85%C5%BD%C3%95%C3%91&crid=10TMVI6W40X7T&dchild=1&keywords=the+ai+first+company&qid=1632519033&sprefix=the+ai+first%2Caps%2C200&sr=8-1 (The AI-First Company by Ash Fontana) Credits GroundTruth is a production of https://www.dogpatchadvisors.com/ (Dogpatch Advisors). This episode was written by Jack Buehrer from https://campfirelabs.co/ (Campfire Labs,) sound engineering and studio space provided by TJ Bonaventura and Julian Lewis from https://studiopodsf.com/ (StudioPod), editing and mixing by http://www.nodalab.com (Nodalab,) and video production by Nick Shaheen from https://www.abovetreelinestudios.com/ (Above Treeline Studios).

Paul Meller, Global Head of Engineering at EY, and Ash Fontana, Author of “The AI-First Company”, discuss the current and future state of AI, what role AI should be playing in your company, how to set yourself up for success when it comes to AI, and much more.---------“Part of the cultural change is how do you get people that haven't had to use data before to be open to using data and embrace data in their decisions that they're making? And then to have them take suggestions from AI and machine learning to support them in their work. ” - Paul Meller“If you're not developing AI, someone else will. And if you do start developing it now, then you start compounding your data assets and competitive advantage really quickly.” - Ash Fontana---------Time Stamps* (3:04) Welcome to the AI-first century* (7:07) Why you should be prioritizing AI* (9:33) How to become an AI-first company* (12:58) The data questions you need to be asking your business teams* (23:36) Common AI mistakes to avoid* (31:03) How to create a successful AI startup* (38:24) What are Paul and Ash dying to know about each other?--------SponsorLearn more about CIO Classified and find other episodes at CIOpod.comThis podcast is brought to you by Box, Okta, Slack, and Zoom. Modern employees demand the best tools at work. If your company wants to embrace the modern work environment, you need best-of-breed tools like Box, Okta, Slack, and Zoom.--------LinksAsh's book “The AI-First Company”EY.com

Ash Fontana author of "THE AI-FIRST COMPANY" by The Best Business Minds

Ash Fontana became one of the most recognized startup investors in the world after launching online investing at AngelList. He then became a Managing Director of Zetta, the first investment fund that focused on AI. The firm was the lead investor in category-defining AI companies such as Kaggle, Domino, Tractable, Lilt and Invenia. He has appeared in Fast Company, Bloomberg, Forbes, CNBC and at the UN. Ash previously co-founded Topguest, a Founders Fund-backed company that built customer analytics technology for companies like United, Virgin, and InterContinental. Topguest sold in an eight-figure transaction 18 months after the company was founded. From his experiences, he's written his first book, The AI-First Company, the definitive playbook to putting AI first in every business conversation. The playbook is an executable guide for applying AI to business problems, made for real companies, with real budgets, that need strategies and tactics to effectively implement AI. In this podcast, we'll dive into the topics from his book and really understand how you can apply these concepts to infuse AI in your organization. Ash will share with us why the concept we often hold about AI—a big brain in the sky—isn't accurate, and how we should be thinking of AI. He'll also define what it means to be an “AI-First company” and lead us through practical steps you can take now to start moving your organization on the path being an AI leader.__________________________________________________________________________________________"[AI] is very good at discrete things like making the same decision over and over again, very reliably with a predictable output or making very rational decisions or whatnot. So, I think it's important to just remember it's different from our form of intelligence. And that's why it's important to develop, because if it was the same why would we be bothering with all this."-Ash Fontana__________________________________________________________________________________________Episode Timeline:01:06—Introducing Ash Fontana + The topic of today's episode3:06—What is an AI-first company?4:49—How do you describe AI?5:50—Is AI less adaptable than humans at making decisions when the parameters or underlying ideas suddenly shift?7:16—Could you explain how flywheel concept as it relates to AI systems?9:08—How would a legacy or incumbent company approach where to start with AI?10:59—How can a company shift from a lean approach to being "all in"?13:14— What is some of the languages or some of the words that we need to start learning to grasp AI?14:49—What do companies most often get wrong when seeking to prioritize AI? 17:10—What are some resources or a place to start for companies looking to make the first steps?19:20—Where can we find you?__________________________________________________________________________________________Additional Resources:https://www.linkedin.com/in/ashfontana/The AI-First Company(Book)

In this episode, Ash Fontana discusses his book "The AI-First Company:  How to Compete and Win With Artificial Intelligence".  We discuss the role of data network effects, how data learning effects are bigger and more important, and many other AI related topics.

Ash Fontana became one of the most recognized startup investors in the world after launching online investing at AngelList. He then became a Managing Director of Zetta, the first investment fund that focused on AI. The firm was the lead investor in category-defining AI companies such as Kaggle, Domino, Tractable, Lilt and Invenia. He has appeared in Fast Company, Bloomberg, Forbes, CNBC and at the UN. Ash previously co-founded Topguest, a Founders Fund-backed company that built customer analytics technology for companies like United, Virgin, and InterContinental. Topguest sold in an eight-figure transaction 18 months after the company was founded. From his experiences, he's written his first book, The AI-First Company, the definitive playbook to putting AI first in every business conversation. The playbook is an executable guide for applying AI to business problems, made for real companies, with real budgets, that need strategies and tactics to effectively implement AI. In this podcast, we'll dive into the topics from his book and really understand how you can apply these concepts to infuse AI in your organization. Ash will share with us why the concept we often hold about AI—a big brain in the sky—isn't accurate, and how we should be thinking of AI. He'll also define what it means to be an “AI-First company” and lead us through practical steps you can take now to start moving your organization on the path being an AI leader.__________________________________________________________________________________________"[AI] is very good at discrete things like making the same decision over and over again, very reliably with a predictable output or making very rational decisions or whatnot. So, I think it's important to just remember it's different from our form of intelligence. And that's why it's important to develop, because if it was the same why would we be bothering with all this."-Ash Fontana__________________________________________________________________________________________Episode Timeline:01:06—Introducing Ash Fontana + The topic of today's episode3:06—What is an AI-first company?4:49—How do you describe AI?5:50—Is AI less adaptable than humans at making decisions when the parameters or underlying ideas suddenly shift?7:16—Could you explain how flywheel concept as it relates to AI systems?9:08—How would a legacy or incumbent company approach where to start with AI?10:59—How can a company shift from a lean approach to being "all in"?13:14— What is some of the languages or some of the words that we need to start learning to grasp AI?14:49—What do companies most often get wrong when seeking to prioritize AI? 17:10—What are some resources or a place to start for companies looking to make the first steps?19:20—Where can we find you?__________________________________________________________________________________________Additional Resources:https://www.linkedin.com/in/ashfontana/The AI-First Company(Book)

Welcome to. Strategy Skills episode 159, an episode with Ash Fontana on the future of AI. Ash just published a great book on AI, THE AI-FIRST COMPANY, please see a link below. THE AI-FIRST COMPANY: https://amzn.to/3zRYW7o Among other insights, Fontana shows readers how to: Make AI your company's first priority. Identify the most valuable data. Build AI teams. Create AI budgets. Integrate AI with existing processes. Measure its effectiveness. Reinvest the profits from automation to build a competitive advantage. About the Author Ash Fontana became one of the most recognized startup investors in the world after launching online investing at AngelList. He then became a Managing Director of Zetta Venture Partners, the first investment fund that focused on AI. The firm was the lead investor in category-defining AI companies such as Kaggle, Domino, Tractable, Lilt and Invenia.  Enjoying our podcast? Get access to sample advanced training episodes here: www.firmsconsulting.com/promo We use affiliate links whenever possible (if you purchase items listed above using our affiliate links, we will get a bonus).

Discussing AI-First Company and AI First mentality with Ash Fontana. He sheds light on how organizations could embrace analytics, data, and AI to retain a competitive edge. Bio: Ash Fontana became one of the most recognized startup investors in the world after launching online investing at AngelList. He then became a Managing Director of Zetta, the first investment fund that focused on AI. The firm was the lead investor in category-defining AI companies such as Kaggle, Domino, Tractable, Lilt, and Invenia. He has appeared in Fast Company, Bloomberg, Forbes, CNBC, and at the UN. This is his first book. Ash's Book: The AI-First Company: How to Compete and Win with Artificial Intelligence by Ash Fontana https://amzn.to/33C2OL5 Ash's Recommendations: On Intelligence: How a New Understanding of the Brain Will Lead to the Creation of Truly Intelligent Machines by Jeff Hawkins, Sandra Blakeslee https://amzn.to/3vZhksk Neurophilosophy: Toward a Unified Science of the Mind-Brain by Patricia S. Churchland https://amzn.to/2RiKrYO Discussion Timeline: TIMELINE Some questions we covered: 1. Starter: Give your starter pitch 1 point that this book points to: 2. Vishal briefly introduce guest Stage 2: Subject Matter Expertise 3. What is the state of startups today? 4. State of AI in mature organization? 5. AI and Enterprise outlook? Cautionary tale or hopeful story 6. Who will win the AI race? 7. Challenges in AI adoption? Stage 3: Introduction as an author 8. What is an AI-First company? 9. Why write AI First? 10. Why does every company need to prioritize AI over the next decade? 11. What are the most common mistakes companies make when trying to become AI First? 12. What's the difference between “lean-startup” and “lean AI”? 14. How do AI-First companies retain more of the “first mover” advantage than others? 15. AI + Business, will make it more science or art? 16. Can AI be a competitive edge Stage 4: Rapid Fire with Ben Pring [Say what comes to your mind] 17 a. #MachineLearning 17 b. #Technology 17 c. #Leadership 17 d. #FutureOfWork 17 e. #Culture 17 f. #DigitalTransformation 17 g. #Disruption 17 h. #JobsOfFuture 17 i. #FutureofStartup 17 j. #FutureofOrganization 17 k. #AIFirst Stage 5: Closing 18. What are 1-3 best practices that you think are the key to success in your journey? 19. Do you have any favorite read? 20. As a closing remark, what would you like to tell our audience? About TAO.ai[Sponsor]: TAO is building the World's largest and AI-powered Skills Universe and Community powering career development platform empowering some of the World's largest communities/organizations. Learn more at https://TAO.ai About WorkPod: Work Pod takes you on the journey with leaders, experts, academics, authors, and change-makers designing the future of work, workers, and the workplace. About Work2.org WorkPod is managed by Work2.org, a #FutureOfWork community for HR and Organization architects and leaders. Sponsorship / Guest Request should be directed to info@tao.ai Keywords: #FutureofWork #Work2.0 #Work2dot0 #Leadership #Growth #Org2dot0 #Work2 #Org2

Automate to Excellence | Join investor and author of The AI-First Company, Ash Fontana, as he breaks down the power of artificial intelligence. Learn how companies can integrate AI to understand their customers better and optimize business. Subscribe to the FranklinCovey On Leadership email newsletter and receive weekly videos, tools, articles, and podcasts to help you become a better leader. ow.ly/tH5E30kAxfj Time To Go: Are you choosing to sit in the suffering you know versus the challenge you need? https://resources.franklincovey.com/blog/time-to-go Define Your Goals: Use this tool to clarify what success looks like for your team. https://pages.franklincovey.com/2021-Q4-NL-June15_Newsletter-Tool-Download.html

Ash Fontana discusses his book "The AI-First Company," and how to compete and win with Artificial Intelligence. Ash became one of the most recognized startup investors in the world after launching online investing at AngelList. He then became a Managing Director of Zetta, the first investment fund that focused on AI. He has appeared in Fast Company, Bloomberg, Forbes, and CNBC, among others. Listen for three action items you can use today. Host, Kevin Craine

This week on DisrupTV, we interviewed Dmitri Krakovsky, Chief Product Officer at Unit4, Ash Fontana, Managing Director at Zetta Partners and Author of THE AI-FIRST COMPANY and Liz Miller, VP & Principal Analyst at Constellation Research. DisrupTV is a weekly Web series with hosts R “Ray” Wang and Vala Afshar. The show airs live at 11:00 a.m. PT/ 2:00 p.m. ET every Friday. Brought to you by Constellation Executive Network: constellationr.com/CEN.

Ash Fontana is Managing Director of Zetta Venture Partners, a venture capital firm focused on artificial intelligence startups. He's also the author of The AI First Company, a new book that draws on Ash's experience as an entrepreneur and investor and lays out the principles for building a successful business based on data learning effects. In this conversation, we dive into the book's core ideas and discuss the past, present and future of AI.-----------------Thanks to Cofruition for consulting on and producing the show. You can learn more about Entrepreneur First at www.joinef.com and subscribe to my weekly newsletter at tib.matthewclifford.com

AI can offer a new type of competitive advantage, but entrepreneurs need to know what it is and how to unlock it. Ash Fontana, author of The AI First Company and managing director at Zetta Venture Partners – a firm that exclusively invests in early-stage AI startups, joins Azeem Azhar to explore the risks and rewards of applying AI to business problems.

How should Chief Information Officers manage AI in the enterprise, and what challenges may arise? Every CIO must consider these questions from both enterprise technology and business leadership perspectives.Author and AI investor Ash Fontana explains the CIO role and CIO responsibilities when developing organizational capabilities for AI, which he calls the AI-first company.The conversation covers these essential topics:-- What are the CIO’s first steps to adopting enterprise AI?-- How should CIOs start with enterprise AI?-- How much technical knowledge about machine learning models should business leaders possess?-- What are “data learning effects”?-- What is Lean AI?-- Should the CIO or CTO be responsible for investments in AI?-- Culture change and AI adoption-- Enterprise AI investment and financial return-- How to overcome obstacles to AI adoption in the enterprise?====Read the full transcript and watch other videos: https://www.cxotalk.com/episode/chief-information-officer-enterprise-ai-cioSubscribe to our newsletter: https://www.cxotalk.com/subscribe====Ash Fontana is author of the book The AI-First Company. He is an investor focused on AI-first companies at Zetta Venture Partners since 2014. Before Zetta, Ash launched syndicates at AngelList - the biggest startup investing platform in the world that now manages over $2B. Simultaneously, Ash made investments in Canva, Mixmax and others.====A few excerpts from the conversation:Michael Krigsman: In effect, what you're saying is this part of the company that's focused around AI, ideally, it would be the entire company, but let's just start small. This part of the company is using the delivery, using the use of AI tools, and then the delivery of outcomes relating to those tools as its kind of organizing principle. Is that an accurate way to summarize it?Ash Fontana: Yeah, I think that's a good way to summarize it. But again, there's so much nuance across the board here around the degree to which you focus on this, depending on where you're at in your journey, depending on whether you're at the phase where you're just experimenting with a few models to sort of test, like, can we actually make this prediction about the demand of the thing we're selling, the demand of the apparel we're selling next season? Can we make a prediction about a trend in this industry with our consumers, whether they're going to buy this or that color next season? Can we actually make a prediction around this delivery time in our supply chain? Can we do that?Are you at this stage where you're experimenting with that and really trying to discover from the data that you have whether you can do that? If so, the degree to which you invest in data collection, data infrastructure, and the degree to which you jump in the deep end of machine learning different models is very different to the point at which you've done those experiments, you're sure that you can make these predictions, and you want to really double down.This is where I introduce this concept of latent AI. But again, I think that's a good way to put it. There's a lot of nuance depending on the phase you're at. Different parts of your organization can mean different parts of the journey.The part of your organization that is on the marketing side can be really far ahead on the AI journey because there's a lot of data available to survey customers and run predictive models around what different segments will do and how they behave, whereas the part of the organization that's responsible for production might be a bit further back or earlier in the journey because fully roboticizing a production line is quite an undertaking. You'll want to do more experiments and little bits of the production line first, so it depends on where you are.

Discussing AI First Company and AI First mentality with Ash Fontana. He sheds light on how organizations could embrace analytics, data and AI to retain competitive edge. Bio: Ash Fontana became one of the most recognized startup investors in the world after launching online investing at AngelList. He then became a Managing Director of Zetta, the first investment fund that focused on AI. The firm was the lead investor in category-defining AI companies such as Kaggle, Domino, Tractable, Lilt and Invenia. He has appeared in Fast Company, Bloomberg, Forbes, CNBC and at the UN. This is his first book. Ash's Book: The AI-First Company: How to Compete and Win with Artificial Intelligence by Ash Fontana https://amzn.to/33C2OL5 Ash's Recommendations: On Intelligence: How a New Understanding of the Brain Will Lead to the Creation of Truly Intelligent Machines by Jeff Hawkins, Sandra Blakeslee https://amzn.to/3vZhksk Neurophilosophy: Toward a Unified Science of the Mind-Brain by Patricia S. Churchland https://amzn.to/2RiKrYO Discussion Timeline: TIMELINE Some questions we covered: 1. Starter: Give your starter pitch 1 point that this book points to: 2. Vishal briefly introduce guest Stage 2: Subject Matter Expertise 3. What is the state of startups today? 4. State of AI in mature organization? 5. AI and Enterprise outlook? Cautionary tale or hopeful story 6. Who will win the AI race? 7. Challenges in AI adoption? Stage 3: Introduction as an author 8. What is an AI-First company? 9. Why write AI-First? 10. Why does every company need to prioritize AI over the next decade? 11. What are the most common mistakes companies make when trying to become AI-First? 12. What's the difference between “lean-startup” and “lean AI”? 14. How do AI-First companies retain more of the “first mover” advantage than others? 15. AI + Business, will make it more science or art? 16. Can AI be a competitive edge Stage 4: Rapid Fire with Ben Pring [Say what comes to your mind] 17 a. #MachineLearning 17 b. #Technology 17 c. #Leadership 17 d. #FutureOfWork 17 e. #Culture 17 f. #DigitalTransformation 17 g. #Disruption 17 h. #JobsOfFuture 17 i. #FutureofStartup 17 j. #FutureofOrganization 17 k. #AIFirst Stage 5: Closing 18. What are 1-3 best practices that you think are the key to success in your journey? 19. Do you have any favorite read? 20. As a closing remark, what would you like to tell our audience? About TAO.ai[Sponsor]: TAO is building the World's largest and AI-powered Skills Universe and Community powering career development platform empowering some of the World's largest communities/organizations. Learn more at https://TAO.ai About FutureOfData: FutureOfData takes you on the journey with leaders, experts, academics, authors, and change-makers designing the future of data, analytics, and insights. About AnalyticsWeek.com FutureOfData is managed by AnalyticsWeek.com, a #FutureOfData Leadership community of Organization architects and leaders. Sponsorship / Guest Request should be directed to info@tao.ai Keywords: #FutureofData #Work2.0 #Work2dot0 #Leadership #Growth #Org2dot0 #Work2 #Org2

Ash Fontana (@ashfontana), author of The AI-First Company and partner at Zetta Venture Partners, joined Erik for a fireside chat for Villagers in May 2021. They discussed:- Why AI creates defensibility and a true, compounding, first-mover advantage.- Why AI should be part of all conversations at your startup: about products to build, people to hire, what price to charge — it should all involve AI.- The difference between Lean Startup and Lean AI.- Common mistakes that early AI companies make, like spending too much on marketing and not enough on sales.- The impacts of AI on hiring and the differences between a data PM and an ordinary PM.- What you can do tomorrow to get started building an AI-first company.Thanks for listening — if you like what you hear, please review us on your favorite podcast platform. Check us out on the web at www.villageglobal.vc or get in touch with us on Twitter @villageglobal.Want to get updates from us? Subscribe to get a peek inside the Village. We’ll send you reading recommendations, exclusive event invites, and commentary on the latest happenings in Silicon Valley. www.villageglobal.vc/signup

Ash Fontana, Managing Director of Zetta, discusses his book "The AI-First Company” on why companies need to prioritize artificial intelligence to succeed. Host; Carol Massar. Producer: Paul Brennan.

Ash Fontana, Managing Director of Zetta, discusses his book "The AI-First Company” on why companies need to prioritize artificial intelligence to succeed. Host; Carol Massar. Producer: Paul Brennan. Learn more about your ad-choices at https://www.iheartpodcastnetwork.com

Ash Fontana discusses his book "The AI-First Company," and how to compete and win with Artificial Intelligence. Ash became one of the most recognized startup investors in the world after launching online investing at AngelList. He then became a Managing Director of Zetta, the first investment fund that focused on AI. He has appeared in Fast Company, Bloomberg, Forbes, and CNBC, among others. Listen for three action items you can use today. Host, Kevin Craine Do you want to be a guest? Do you want to be a sponsor?

In this episode, we speak with industry-leading investor Ash Fontana about his new book, the AI-First Company and discuss the importance of the process, systemic and mindset changes involved in the global deployment of artificial intelligence. In this fascinating episode, Ash takes us through the latest thinking on artificial intelligence and the challenges for companies if they don't operate in an AI-First way.

Artificial Intelligence is already part of our lives in the tools and services we use every day. As AI development accelerates, how can authors and small businesses use it as leverage to expand income and opportunities? Ash Fontana gives some ideas in this interview on The AI-First Company. In the intro, How GPT-3 is quietly […] The post The AI-Powered Micro-Business with Ash Fontana first appeared on The Creative Penn.

Ash Fontana is an entrepreneur, investor, and author. As an entrepreneur, he was only of the early employees at an online investing platform called AngelList. From there, he became the Managing Director at Zetta, the first investment fund focused on artificial intelligence. Now, he's the author of the AI-First Company. This conversation is about that book. Ash says that AI-First companies are the only trillion-dollar companies, and soon they will dominate even more industries, more definitively than ever before. But we don't just talk about the book. We also talk about health, continental philosophy, and Ash's obsession with bicycling. Please enjoy my conversation with Ash Fontana.

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A leader in the world of artificial intelligence Ash Fontana joins us to share about his new book, THE AI-FIRST COMPANY: How to Compete and Win with Artificial Intelligence.