Podcasts about Dataiku

In this episode of Tech Sales Insights, Randy Seidl is joined by Dave and Joe O'Callaghan, co-founders of Vation, about their journey and experiences as a father-son duo in the tech industry. They discuss the importance of go-to-market strategies and what leaders can learn from the innovation ecosystem. Sponsored by Sandler, a sales training provider, the discussion delves into the significance of sales training, especially for first-line managers, and explores the evolving roles of technology leaders. Joe and Dave share insights on the challenges emerging tech companies face, the importance of execution and humility, and the growing role of AI and data security. They also highlight the importance of cold calling, the shift in sales training needs, and the evolving skill sets required in the tech industry.KEY TAKEAWAYSFirst Father-Son Duo: Episode features Dave and Joe O'Callaghan, co-founders of Vation Ventures, discussing their father-son dynamic. Business Focus: Highlight on go-to-market strategies from the innovation ecosystem. Importance of Sales Training: Emphasized by Sandler, focusing on training necessity due to promotions during COVID. AI and Security: Special focus on AI trends and the importance of secure AI. Channels and Relationships: The enduring importance of trusting relationships in the channel for effective advice and sales. Cold Calling: Seeing a resurgence, combined with high-quality, AI-supported research. Mentorship and Humility: The fundamental value of being humble, inquisitive, and learning from great mentors. Innovation and Execution: Balancing innovation with execution in today's rapidly evolving technology landscape.QUOTES"Innovation is hard. Innovation at scale is really, really hard." "Humility and inquisitiveness are key in driving innovation and leading teams." "The only person that likes to hear you talk about yourself is your mom." "Distributors can lean into orchestrating everything from Dataiku to Cisco Meraki for a comprehensive solution."Find out more about Dave & Joe O'Callaghan through the link/s below:Dave O'Callaghan's LinkedIn: https://www.linkedin.com/in/daveo4/Joe O'Callaghan's LinkedIn: https://www.linkedin.com/in/joeyocallaghan/This episode is sponsored by Sandler. Sandler is a world leader in innovative sales, leadership, and management training. For more than 50 years, Sandler has taught its distinctive, non-traditional selling system and highly effective sales training methodology, which has helped salespeople and sales managers take charge of the process.

In this special episode of the HR Leaders Podcast, we bring you a powerful panel discussion hosted by Lynne Oldham, Chief People Officer at Dataiku, featuring talent leaders from Databricks, Omnicom Media Group, Eaton and Zapier.Together, they explore how AI is transforming talent acquisition and talent management, from predictive hiring and internal mobility to bias reduction and personalized candidate experiences.

Thibault Lefèvre est Global Data & AI Product Manager sur le périmètre Manufacturing et Supply chez Sanofi, le groupe pharmaceutique leader mondial. Il nous parle des 3 piliers de leur stratégie Data et IA.On aborde :

Aujourd'hui, je reçois Thibaut Dupré, Head of UX chez Dataiku. Il partage son parcours entre Air France, Thales, Molotov et Dataiku, et nous plonge dans les coulisses d'un design data-driven, au cœur d'une entreprise tech spécialisée en intelligence artificielle.Thibaut revient sur :– La structuration d'une équipe produit/design mêlant juniors, seniors et researchers– Le mentorat, l'apprentissage continu, et la montée en compétence sur le terrain– Les défis du design dans la data : complexité produit, utilisateurs techniques, IA générative– Le développement d'outils internes mêlant LLM, RAG, analyse de sentiment & user researchIl partage aussi sa vision du rôle du designer aujourd'hui, entre stratégie produit, collaboration interdisciplinaire et recherche qualitative.✨ Un épisode dense, généreux, et ultra pertinent pour tous les designers confrontés à des environnements techniques et scalables.Vous avez laissé votre manteau au vestiaire… Bienvenue dans le club !

What does it really take to implement generative AI in a way that balances innovation, governance, and long-term value? In today's episode, , I'm joined by Emma Irwin, Director of Sales Engineering at Dataiku. With a deep background in enterprise AI and experience supporting major organizations like AVIVA and the NHS, Emma brings a grounded, real-world perspective to one of the most hyped areas in tech today. While most businesses are ramping up GenAI investments, few have the processes, controls, or workforce skill sets needed to scale safely and effectively. Emma and I dive straight into the challenges that IT leaders are facing right now—from managing LLM usage and controlling cost, to building secure frameworks that actually reduce risk rather than amplify it. Emma unpacks the three key pillars every organization needs for sustainable GenAI success: access controls that keep your stack flexible, robust discovery mechanisms to document LLM usage across the enterprise, and value quantification to show the real return on AI initiatives. But what really stood out is the need for diverse teams and strong governance models to address bias in AI development. From sentiment analysis to internal chatbots and large-scale summarization use cases, Emma brings a mix of strategy and execution to the conversation. We also explore the importance of secure sandbox environments, the value of audit-readiness through documentation automation, and why it's time for every business to move beyond experimentation into a more structured, responsible phase of AI maturity. Emma is also a vocal advocate for women in tech and AI, and shares how mentorship, representation, and inclusive leadership can help shape a more equitable future for the industry. So what guardrails do you have in place for GenAI? Are you really ready to move from pilot projects to enterprise-scale implementations? This episode is packed with insights for anyone building, managing, or scaling AI across the enterprise.

Le Sommet de l'IA à Paris a mis un coup de projecteur sur les start-up françaises et le potentiel de cet outil. Dans « La Story », le podcast d'actualité des « Echos », Joséphine Boone et Florian Douetteau, PDG de Dataiku, analysent la révolution de l'IA et la manière dont les entreprises se l'approprient.Retrouvez l'essentiel de l'actualité économique grâce à notre offre d'abonnement Access : abonnement.lesechos.fr/lastoryLa Story est un podcast des « Echos » présenté par Joséphine Boone. Cet épisode a été enregistré en février 2025. Rédaction en chef : Clémence Lemaistre. Invité : Florian Douetteau (fondateur et PDG de Dataiku). Réalisation : Willy Ganne. Chargée de production et d'édition : Michèle Warnet. Musique : Théo Boulenger. Identité graphique : Upian. Photo : Shutterstock. Sons : TF1, «Les Aventures de Tintin» (1991). Hébergé par Acast. Visitez acast.com/privacy pour plus d'informations.

Serena est un fonds d'investissement en venture capital (capital-innovation ou capital-risque) reconnu pour son approche unique "d'entrepreneurs pour les entrepreneurs". Spécialisé dans l'accompagnement des startups innovantes, le fonds de private equity se distingue par son équipe dédiée à l'exécution opérationnelle et un soutien actif aux entreprises de son portefeuille. Avec des réussites notables comme Dataiku, Malt et CybelAngel, Serena est devenu un acteur incontournable du venture capital en Europe. Dans cet épisode, nous recevons Marc Fournier, cofondateur et managing partner de Serena pour nous présenter le fonds et ses stratégies d'investissement.  Au programme : Le parcours exceptionnel et enrichissant de Marc L'évolution du venture capital en France, le fonctionnement de Serena et son ADN Les erreurs fréquentes des entrepreneurs et comment Serena aide à les éviter. En exclusivité, les coulisses d'un de leurs projets les plus marquants En bonus, les conseils de Marc pour identifier un bon fonds d'investissement. Bonne écoute !   ----------------------- Savez-vous vraiment comment fonctionne un société de gestion ? Un fonds d'investissement ? Ce qu'il se passe au-delà des chiffres et des due diligences ? Dans "Focus Fonds", nous explorons ce qui se trouve de manière très concrète derrière les investissements des fonds et de leurs investisseurs. ----------------------- Pour accéder aux solutions d'investissements en private equity proposées par Sapians : https://sapians.com/investissement-private-equity  Attention : Les performances passées ne préjugent pas des performances futures et investir comporte des risques de perte partielle ou totale en capital. Cet épisode vise à informer sur le fonctionnement d'une société de gestion, mais ne constitue pas un conseil d'investissement. Si vous souhaitez bénéficier de conseils personnalisés, veuillez créer votre compte ou prendre rendez-vous avec un conseiller Sapians.

Ce mardi 11 février, Florian Douetteau, directeur général de Dataiku a abordé le dynamisme autour de l'IA, le rôle Dataiku, l'intégration de l'IA générative dans ses offres, la révolution des agents et l'investissement des entreprises dans l'IA, dans l'émission Tech&Co Business présentée par Frédéric Simottel. Tech&Co Business est à voir ou écouter le mardi sur BFM Business.

Ce mardi 11 février, Frédéric Simottel a reçu Jonathan Cherki, fondateur et président de Contentsquare, Christophe Negrier, directeur général d'Oracle France, Stéphane Kirchacker, vice-président IA Entreprise, Sinequa by ChapsVision, Thomas Gourand, directeur général France de Snowflake, Florian Douetteau, directeur général de Dataiku, Patrick Martin, président du Medef, Véronique Torner, présidente de Numeum, ainsi que Charles Gorintin, cofondateur et CTO d'Alan, dans l'émission Tech&Co Business sur BFM Business. Retrouvez l'émission le samedi et réécoutez la en podcast.

durée : 01:47:53 - Soft Power - par : Frédéric Martel - Le 10 et 11 février 2025, la France accueille le Sommet pour l'Action sur l'Intelligence Artificielle, avec pour objectif d'encourager le développement d'une IA de confiance au service de l'intérêt général. L'Europe peut-elle s'affirmer comme une puissance incontournable en IA ? - réalisation : Alexandra Malka - invités : Anne Bouverot Envoyée spéciale du président de la République pour le Sommet pour l'action sur l'intelligence artificielle; Amaury Delplancq Vice-président Europe du Sud de Dataiku; Christophe Liénard Directeur central de l'Innovation du groupe Bouygues et président d'Impact AI; Mathieu Boogaerts Auteur-compositeur-interprète

La période des fêtes est propice aux rétrospectives. Nous en profitons pour vous repartager quelques épisodes qui ont cartonné. Cette semaine, vous aurez donc le plaisir de redécouvrir notre top épisode 2023, avec Marc Batty dont le parcours est impressionnant ! Après une belle carrière en tant qu'ingénieur informatique et co-fondateur de Dataiku, il a finalement posé ses valises dans le monde de l'agroécologie, où il apporte un changement tangible à travers FEVE (Fermes En ViE), une initiative visant à soutenir la nouvelle génération d'agriculteurs.  Dans cet épisode, il nous retrace son parcours : depuis sa prise de conscience écologique jusqu'à sa décision délibérée de quitter le monde de la tech, dans lequel son entreprise florissait pour se consacrer à la refonte de notre rapport à la Terre, l'agriculture, l'écologie et l'investissement.  Comment créer une synergie entre le monde financier et le secteur agricole ? Marc Batty nous apporte de précieux éléments de réponse.   Pour découvrir l'ensemble des épisodes sur sapians.com : https://sapians.com/blog/tag/type-podcast Si vous souhaitez bénéficier de conseils personnalisés pour gérer vos investissements, veuillez créer votre compte ou prendre rendez-vous avec un conseiller Sapians. 

Une plateforme logicielle collaborative de data science destinée aux professionnels de la donnée Mention légales : Vos données de connexion, dont votre adresse IP, sont traités par Radio Classique, responsable de traitement, sur la base de son intérêt légitime, par l'intermédiaire de son sous-traitant Ausha, à des fins de réalisation de statistiques agréées et de lutte contre la fraude. Ces données sont supprimées en temps réel pour la finalité statistique et sous cinq mois à compter de la collecte à des fins de lutte contre la fraude. Pour plus d'informations sur les traitements réalisés par Radio Classique et exercer vos droits, consultez notre Politique de confidentialité.Hébergé par Ausha. Visitez ausha.co/politique-de-confidentialite pour plus d'informations.

On our latest episode of the Connector podcast, business transformation director Bastien from Dataiku joins us live from Brussels to unravel the evolving landscape of data and AI initiatives. Whether you're a coding expert or prefer a more visual approach, Bastien demonstrates how Dataiku's groundbreaking platform redefines collaboration between data specialists and business professionals. Discover how this unique synergy simplifies the data science process and enhances transparency and trust throughout the AI project lifecycle. With over 600 global clients, including major players like BNP Paribas and Morgan Stanley, DataIQ is leading the charge in preparing organizations for upcoming regulations like the Data Governance Act.Tune in as we explore the profound impact of data collaboration within cross-functional teams and how Dataiku's tools are accelerating and amplifying AI initiatives across various industries. Bastien provides an insightful look into the company's substantial influence in the banking and insurance sectors while also shining a light on their ventures beyond finance. Learn how the platform bridges the gap between AI builders and consumers, enabling businesses to monetize their data and achieve unprecedented scalability in the fast-paced fintech environment. This episode is packed with insights that could transform how your organization leverages its data assets for innovation and efficiency.Thank you for tuning into our podcast about global trends in the FinTech industry.Check out our podcast channel.Learn more about The Connector. Follow us on LinkedIn.CheersKoen Vanderhoydonkkoen.vanderhoydonk@jointheconnector.com#FinTech #RegTech #Scaleup #WealthTech

In this episode, we sit down with Florian Douetteau, co-founder and CEO of Dataiku, a global category leader in enterprise AI and a fixture on the Forbes Cloud 100 list and in the Gartner Leader Quadrant. Florian shares his journey from a Parisian student fascinated by functional programming to leading a global enterprise software company. We discuss how Dataiku bridges the gap between technical and business teams to democratize AI in the enterprise, the challenges of selling to enterprise clients, and how Dataiku acts as an orchestration layer for Generative AI, helping businesses manage complex data processes and control AI, so they can build more with AI. Dataiku Website - https://www.dataiku.com/ X/Twitter - https://twitter.com/dataiku Florian Douetteau LinkedIn - https://www.linkedin.com/in/fdouetteau X/Twitter - https://twitter.com/fdouetteau FIRSTMARK Website - https://firstmark.com X/Twitter - https://twitter.com/FirstMarkCap Matt Turck (Managing Director) LinkedIn - https://www.linkedin.com/in/turck/ X/Twitter - https://twitter.com/mattturck (00:00) Intro (02:08) Florian's life before Dataiku (06:58) Creation of Dataiku (12:08) Secret behind the Dataiku's name (12:47) How does Dataiku stay insightful about the future? (14:46) Building a platform, not just a tool (17:26) How to sell to the enterprise from the beginning (20:09) Dataiku platform today (26:55) Data is always the problem (28:50) LLM Mesh (36:02) Will Gen AI replace ML? (39:41) Managing Gen AI and traditional AI on one platform (40:37) Gen AI deployment in the enterprise (48:33) Dataiku's roadmap (50:28) What has changed with the company's growth?

You can contact Women Talking About Learning through our website, womentalkingaboutlearning.com You can buy us a coffee to support Women Talking About Learning via Ko-Fi. Or you can email us via hello@llarn.com   Women Talking ABout Learning is produced by Llarn Learning ©Llarn Learning   Episode Links: We are all leaders whether we know it or not Flexible Family Leave is Lousy Feminism Culture Framework Bridging Perspectives, Unlocking Potential Accent Bias in Britain Accent Bias: How Can We Minimize Discrimination In The Workplace? Stereotyping and prejudice Why white people urgently need to get better at talking about race Putting an End to Conferences Dominated by White Men Why are the Dutch so tall? Understanding stereotypes, prejudice and discrimination Feminist Perspectives on Objectification Fishbowl technique The double-edged sword of labels The Problem with Labels Greenwashing Unconscious bias and prejudice in the workplace ¿A Difference that Makes a Difference? The US and Europe on Values and Culture 20 Differences Between the U.S. and Europe 5 ways Americans and Europeans are different The American-Western European Values Gap Intersectionality Prejudgment Prejudice This week's guests are Ornela Cianciarelli is an entrepreneur, Walking and Nature Coach, and Psychological Safety Practitioner passionate about fostering inclusive spaces for personal and professional growth. Through her company, SoftPace, Ornela offers tailored coaching that combines the principles of psychological safety with the grounding power of nature, helping individuals and teams find balance and connection. With a background in Agile Transformation and Stakeholder Management, and fluency in Dutch, Spanish, and English, Ornela brings a unique perspective to her work, supporting clients in discovering their potential in a reflective, non-judgmental environment.   LinkedIn: https://www.linkedin.com/in/ornelacianciarelli/   Camille Graux is a seasoned Learning and Development professional with a decade of experience in global talent strategies, leadership training, and performance development. Currently a Senior Manager at Dataiku, she develops talent management practices and learning experiences with diverse humans in mind. Having worked and lived in four countries and travelled to over sixty, she brings a mindset of openness, curiosity, and a strong inclination for tech and innovation.   My profile: https://www.linkedin.com/in/camillegraux/     Isis Fabian is a speaker, facilitator, and coach with a decade-long foundation of educating corporate audiences on identity-based topics like unconscious bias and conducting global research in Diversity Equity and Inclusion (DEI), corporate culture, and effective leadership. Being agender and neurodivergent, they specialise in gender and neurodiversity, and encourage others to tap into their own lived experiences to build shared understanding and co-create expansive cultural practices that enable everyone to reach their unique potential.    Linkedin: https://www.linkedin.com/in/isis-fabian/ Website: www.isisfabian.com  

Florian Douetteau incarne la réussite de la tech française dans l'univers du big data et de l'intelligence artificielle. Diplômé de l'École normale supérieure de Paris où il a étudié les mathématiques, la logique et les statistiques, il a découvert la “data” à travers les moteurs de recherche, quand il avait 20 ans et qu'il officiait chez le français Exalead. C'est là qu'il a débuté sa carrière en 2000, pour mener une thèse sur le développement du langage de programmation Exascript. Il y restera jusqu'en 2011, occupant successivement plusieurs postes de direction et de vice-président dans les domaines de la recherche, du développement et du management de produits. Le grand tournant survient en 2013, quand il fonde Dataiku, une start-up qui édite une plateforme logicielle d'analyse de données, le Data Science Studio, permettant de faciliter et d'accélérer l'analyse des données brutes des entreprises, afin de les aider à s'en servir pour construire des services prédictifs. Leur solution s'impose aujourd'hui aussi bien en Europe qu'aux Etats-Unis. Il nous parle big data, et des conséquences de l'irruption des technologies d'IA pour l'organisation des entreprises. Hébergé par Acast. Visitez acast.com/privacy pour plus d'informations.

Mardi 1 octobre 2024, SMART TECH reçoit Florian Douetteau (fondateur, Dataiku)-----------------------------------------------------------------------SMART TECH - Le magazine quotidien de l'innovationDans SMART TECH, l'actu du numérique et de l'innovation prend tout son sens. Chaque jour, des spécialistes décryptent les actualités, les tendances, et les enjeux soulevés par l'adoption des nouvelles technologies.

Tout le monde se trompe. Considérer l'intelligence artificielle sur le temps court est une erreur. Le vrai changement de paradigme n'aura pas lieu avant 5 à 10 ans. C'est ce que m'explique Florian Douetteau qui s'intéresse à l'IA depuis 2013. Il cofonde dès lors Dataiku, un éditeur de logiciels pour les entreprises spécialisé dans la gestion de données. 10 ans plus tard, Dataiku atteint une valorisation proche de 4 milliards de dollars et un revenu annuel récurrent de 230 millions. Son constat est sans appel : dans la prochaine décennie, l'IA va forcer les entreprises à capitaliser sur leurs données et à les maîtriser, sous peine de disparaître. “Aujourd'hui, la limite principale de l'IA c'est l'acceptation des humains”. Florian nous dévoile les apprentissages passionnants de ses recherches et conclusions : Les coulisses de la recherche en IA Comment les entreprises vont se métamorphoser Ce que tout le monde devrait mettre en place dès maintenant Quel est le modèle économique d'un éditeur de logiciel Les limites et les dangers de l'IA La nouvelle mission du CEO Un épisode pragmatique et accessible qui s'adresse autant aux dirigeants d'entreprises qu'aux actifs. À écouter absolument pour ne pas rater le train en marche. PS : J'ai adoré enregistrer cet épisode : c'était passionnant. Je n'étais cependant pas tout à fait dans mon assiette, je vous prie d'excuser mes quelques imprécisions. TIMELINE: 00:00:00 : La recherche en science, une question de talent ? 00:11:51 : Pourquoi apprendre et le combat des talents 00:21:25 : L'enjeu de Dataiku 00:34:44 : À quoi ressemblera l'entreprise du futur ? 00:50:10 : Maîtriser le rapport entre l'humain et l'IA 00:59:52 : Faut-il encore apprendre à coder ? 01:15:17 : Comment dépasser les limites actuelles des IA ? 01:24:42 : Ce que toutes les entreprises devraient mettre en place 01:35:00 : Le modèle économique d'un éditeur de logiciel 01:43:37 : Clarifier la stratégie française autour de l'entreprenariat et la technologie 01:55:14 : Le rôle de la jeunesse 02:03:25 : La vraie mission d'un CEO Les anciens épisodes de GDIY mentionnés : #315 - Marc Batty - Fermes En Vie - Quitter la tech après 20 ans pour soutenir les nouveaux agriculteurs : histoire d'une prise de conscience #95 Cédric Villani - Comment laisser une place au hasard pour découvrir des mondes incroyables ? #397 - Yann Le Cun - Chief AI Scientist chez Meta - L'Intelligence Artificielle Générale ne viendra pas de Chat GPT #356 - Rachel Delacour - Sweep - Réduire l'impact carbone des géants, pour de vrai #109 Olivier Brourhant - Mantu - 55 pays, 96% de croissance annuelle, un demi-milliard de CA en 13 ans… tous les secrets pour “Scaler” #358 - Éléonore Crespo - Pigment - La Française qui va remplacer Excel #108 Carole Juge - Joone - Do It Yourself, l'histoire de sa vie : comment se lancer à l'assaut du business des couches #354 - Alex Bouaziz - Deel - Fonder discrètement une décacorne valorisée à 12 milliards de dollars, pour devenir le plus gros DRH du monde #388 - Benoît Lemaignan - Verkor - “Pour avoir de l'impact climatique il faut aller vite et fort” #327 - Laurent Alexandre - Auteur - ChatGPT & IA : “Dans 6 mois, il sera trop tard pour s'y intéresser” #286 - Benjamin Netter - Riot - Pourquoi la cybersécurité doit être l'affaire de tous Nous avons parlé de : Dataiku Pigment Mistral.ai Patrick Pouyanné de Total IoT : internet des objets Steve Ballmer (best of) to incentive : encourager Riot Les recommandations de lecture : Le cycle des robots (Tome 1) d'Isaac Asimov Le cycle Fondation (Tome 1) d'Isaac Asimov Le robot qui rêvait d'Isaac Asimov La semaine de 4 heures de Tim Ferriss Vous pouvez contacter Florian sur LinkedIn, X. La musique du générique vous plaît ? C'est à Morgan Prudhomme que je la dois ! Contactez-le sur : https://studio-module.com. Vous souhaitez sponsoriser Génération Do It Yourself ou nous proposer un partenariat ? Contactez mon label Orso Media via ce formulaire.

Nouveau replay de l'été, c'est l'épisode qui a le mieux fonctionné sur la dernière saison. Pas étonnant avec de tels chiffres : Dataiku c'est 250M$ de revenus annualisés, plus de 1000 salariés répartis sur des bureaux situés aux 4 coins du globe. Peu importe le contexte, Dataiku se finance régulièrement. Créée en 2013, la scale-up est désormais de droit américain mais 1/3 des effectifs sont toujours en France. Tu vas pouvoir écouter ou ré-écouter Florian Douetteau, son co-fondateur ▶️ pourquoi « fliper » c'est-à-dire mettre son siège aux

Carole Offredo is the Chief Marketing Officer (CMO) at Dataiku, a leading end-to-end platform for everyday AI. With over eight years of experience in the tech industry, Carole is passionate about democratizing AI and empowering individuals to harness its potential. She has a strong belief in the power of collaboration and transparency, driving her to create impactful marketing strategies that align with Dataiku's vision of making AI accessible to everyone. In this episode, Carole shares why there is power in understanding AI. Belief in the Vision: Believing in the product and vision you're working for is crucial as it provides meaning and energy to drive you forward. Team Collaboration: Creating conditions for your team to work together and create memorable moments for customers and prospects is energizing and fosters success. Democratizing AI: Making AI accessible to everyone empowers individuals to automate tasks, innovate, and create more interesting work, leading to a more efficient and sustainable future. Truthful Marketing: Telling real customer stories without overselling builds trust and credibility, ensuring marketing efforts are authentic and impactful. Power of Collective Creation: Harnessing the diversity of thought, background, and experience in a team leads to more vibrant ideas, innovations, and successful outcomes. Delegation and Empowerment: Delegating tasks in an empowering way allows team members to grow, learn, and contribute to the collective vision, making the organization more scalable and sustainable. Long-Term Sustainability: Focusing on making people grow as individuals, as a team, and as an organization ensures the business is scalable, sustainable, and creates long-term value. Kindness as a Trait: Valuing kindness in a person fosters positive relationships, empathy, and a supportive work environment, leading to better collaboration and team dynamics. Resources Carole Offredo on LinkedIn | Dataiku

Attention les oreilles cette semaine, épisode exceptionnel à venir avec Nicolas Dessaigne

Jepson Taylor is the former Chief AI Strategist at DataRobot and Dataiku. YouTube: https://www.youtube.com/@jakenewfield Spotify: https://open.spotify.com/show/4k9DDGJz02ibpUpervM5EY Apple Podcasts: https://podcasts.apple.com/us/podcast/for-the-sake-of-argument/id1567749546 Twitter: https://twitter.com/JakeNewfield --- Support this podcast: https://podcasters.spotify.com/pod/show/jake-newfield/support

In this episode of the BetterTech podcast, host Sophia Moshasha talks with Conor Jensen, Global Field CDO at Dataiku, about data-driven decision making. Conor discusses his journey from being a meteorologist in the Air Force to using simple math to improve inventory management in retail, and eventually leading data science initiatives in insurance. He highlights the main challenges businesses face when adopting data-driven decision making and AI technologies, including complex systems, the need for skilled staff, and the importance of cultural change. Conor offers insights on how companies can start small and involve employees to effectively integrate new technologies. They also explore how data-driven decision making has improved operations in sectors like retail and manufacturing, making businesses more efficient. This episode is an easy-to-understand guide on the benefits and challenges of using data and AI in business. --- Send in a voice message: https://podcasters.spotify.com/pod/show/bettertech/message

האם אימוץ AI הוא פרויקט טכנולוגי או עסקי? ד"ר יובל דרור מקבל משלומי כהן, מוביל פרקטיקת ה-AI ב- Deloitteישראל, אינספור תובנות מרתקות על האופן שבו ארגונים מיישמים – או למעשה צריכים ליישם – כלי בינה מלאכותית.התובנות הללו בהחלט יפתיעו אתכם. וגם: מדוע ניצחונות קטנים לאורך הדרך עדיפים בהרבה מניצחון אחד גדול - ולמה לא כדאי לכם להתאהב ב-AI...שלומי ממליץ: לראות את הסדרה הדוקומנטרית "נקודת מפנה - הפצצה והמלחמה הקרה" ולעקוב אחר חברת Dataiku, שמתפתחת ללא הפסק. 

Join us in this exciting episode as we dive into the world of enterprise AI with Florian Douetteau, co-founder and CEO of Dataiku, the leading enterprise AI platform targeting Global 2000 companies. Since its founding in 2013, Dataiku has been at the forefront of democratizing AI in the enterprise. We'll explore the current state of deployment of AI in businesses around the world, dive deep into the differences between generative AI and traditional AI, explore emerging Generative AI uses cases in the enterprise, and get a sneak peek into Dataiku's latest breakthrough, the LLM Mesh, aimed at simplifying the use of multiple Generative AI models for companies. We'll also tackle the big challenges companies face when adopting AI, from managing costs to dealing with the uncertainties of Generative AI. This episode was recorded live at a recent Data Driven NYC, the monthly in-person event organized by FirstMark since 2011, hosted this month by our partners at Foursquare, the location intelligence company, at their beautiful headquarters. Dataiku Website - https://www.dataiku.com/ Twitter - https://twitter.com/dataiku Florian Douetteau LinkedIn - https://www.linkedin.com/in/fdouetteau Twitter - https://twitter.com/fdouetteau FIRSTMARK Website - https://firstmark.com Twitter - https://twitter.com/FirstMarkCap Matt Turck (Managing Director) LinkedIn - https://www.linkedin.com/in/turck Twitter - https://twitter.com/mattturck Foursquare Website - https://location.foursquare.com Twitter - https://twitter.com/Foursquare (00:00) Intro (01:09) What is Dataiku? (02:03) Is the market ready for AI? (04:33) Traditional AI vs Generative AI (08:33) What a company should know before diving into Generative AI? (10:18) Cost of Generative AI adoption (12:10) What blocks the AI adoption? (14:31) Dataiku product tour (16:34) How to build one product for different audiences (17:45) LLM Mesh: what is it? (21:10) Evolution of platform building with Gen AI (22:17) Enterprise AI motion in 2024 (23:28) Dataiku's partnerships (24:24) Being platform-first as a startup

CNBC's Deirdre Bosa is BACK with Dan Nathan to discuss what has the Valley buzzing. TikTok might be forced to part ways with ByteDance, what does this mean for Teemu and Shein (2:00), Perplexity Set To Double Valuation to $1 Billion (10:30), will investors “sell the news” after Nvidia's GTC 2024 next week (17:00)? After the break, Dan is joined by Matt Turck, Partner at FirstMark Capital and Florian Douetteau, CEO & Co-Founder of Dataiku about the state of Enterprise AI and the “Globalization of Entrepreneurship” (22:00)    Listen: Aravind Srinivas on “Invest Like The Best” with Patrick O'Shaughnessy  Read: Matt's 2023 MAD Report Read: Amazon, Google Quietly Tamp Down Generative AI Expectations — View our show notes here Learn more about Current: current.com Listen to 'Strategic Alternatives': https://www.rbccm.com/en/gib/ma-inflection-points Email us at contact@riskreversal.com with any feedback, suggestions, or questions for us to answer on the pod and follow us @OkayComputerPod. We're on social: Follow @dee_bosa on Twitter Follow @GuyAdami on Twitter Follow us on Instagram @RiskReversalMedia Subscribe to our YouTube page

CNBC's Deirdre Bosa is BACK with Dan Nathan to discuss what has the Valley buzzing. TikTok might be forced to part ways with ByteDance, what does this mean for Teemu and Shein (2:00), Perplexity Set To Double Valuation to $1 Billion (10:30), will investors “sell the news” after Nvidia's GTC 2024 next week (17:00)? After the break, Dan is joined by Matt Turck, Partner at FirstMark Capital and Florian Douetteau, CEO & Co-Founder of Dataiku about the state of Enterprise AI and the “Globalization of Entrepreneurship” (22:00)    Listen: Aravind Srinivas on “Invest Like The Best” with Patrick O'Shaughnessy  Read: Matt's 2023 MAD Report Read: Amazon, Google Quietly Tamp Down Generative AI Expectations — View our show notes here Learn more about Current: current.com Listen to 'Strategic Alternatives': https://www.rbccm.com/en/gib/ma-inflection-points Email us at contact@riskreversal.com with any feedback, suggestions, or questions for us to answer on the pod and follow us @OkayComputerPod. We're on social: Follow @dee_bosa on Twitter Follow @GuyAdami on Twitter Follow us on Instagram @RiskReversalMedia Subscribe to our YouTube page

Nouvel épisode de tech 45'

Bienvenue dans ce nouveau teaser de tech 45' Tu me découvres ? Je suis Seb COUASNON, ancien journaliste (Tech&Co, BFM de 2015 à 2021), on se retrouve chaque semaine. L'histoire est TRÈS belle aujourd'hui, on va apprendre à mieux connaître Dataiku, licorne franco-américaine créée en 2013 et qui valait 3,7 mds de dollars lors de son dernier tour de table fin 2022. Dans cet extrait, Florian t'explique pourquoi au bout de 3 ans, comme Algolia ou Datadog il a dû « fliper », c'est-à-dire déplacer son siège aux Etats-Unis (Paris → NYC). Tu aimes tech 45' et bien dis-le moi en me laissant un p'tit avis et en me mettant plein d'étoiles sur ta plateforme d'écoute ! Le mercredi, je diffuse le teaser, et le vendredi qui suit ton épisode en entier, abonne-toi pour ne pas le rater. D'avance merci !!!

Aptiv, Baidu, Cerebras, Dataiku… we could keep going… and going… and going. If you know what this list is composed of (nerd), then you probably have some appreciation for how complex and fast moving the AI landscape is today. It would be impossible for a mere human to stay on top of it all, right? Wrong! Our guest on this episode, Matthew Lynley, does exactly that! In his Substack newsletter, Supervised, he covers all of the breaking news in a way that's accessible even if you aren't an MLE (that's a "machine learning engineer," but you knew that already, right?). We were thrilled he stopped by to chat with Julie, Tim and Val about some of his recent observations and discuss what the implications are for analysts and organizations trying to make sense of it all. For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page.

Hello toi !!!

Jeudi 16 novembre, François Sorel a reçu Florian Douetteau, cofondateur et président de Dataiku. Il s'est penché sur le sommet de l'IA qui sera organisé à Paris, dans l'émission Tech & Co, la quotidienne, sur BFM Business. Retrouvez l'émission du lundi au jeudi et réécoutez la en podcast.

Jeudi 16 novembre, François Sorel a reçu Jérôme Marin, fondateur de la newsletter Cafetech.fr ; Raphaël Grably, rédacteur en chef adjoint de Tech&Co ; Yves Maître, operating partner Jolt Capital et consultant, ancien PDG de HTC ; Florian Douetteau, cofondateur et président de Dataiku ; Léa Benaïm, journaliste Tech&Co ; Florian Douetteau, cofondateur et président de Dataiku et Pascal Cotte, directeur général France de Satispay, dans l'émission Tech & Co, la quotidienne sur BFM Business. Retrouvez l'émission du lundi au jeudi et réécoutez la en podcast.

Florian Douetteau, cofondateur et président de Dataiku, était l'invité de François Sorel dans Tech & Co, la quotidienne, ce jeudi 16 novembre. Il s'est penché sur le sommet de l'IA qui sera organisé à Paris sur BFM Business. Retrouvez l'émission du lundi au jeudi et réécoutez la en podcast.

In this episode of Data Futurology, Felipe Flores and Grant Case, Regional Vice President, Head of Sales Engineering - APJ at Dataiku delve into the realm of Generative AI and its applications in the business world. They kick off by underlining the vital role Generative AI plays in organisations, and then they explore the challenges that come along with adopting this technology. --- Send in a voice message: https://podcasters.spotify.com/pod/show/datafuturology/message

Summary Artificial Intelligence is experiencing a renaissance in the wake of breakthrough natural language models. With new businesses sprouting up to address the various needs of ML and AI teams across the industry, it is a constant challenge to stay informed. Matt Turck has been compiling a report on the state of ML, AI, and Data for his work at FirstMark Capital. In this episode he shares his findings on the ML and AI landscape and the interesting trends that are developing. Announcements Hello and welcome to the Machine Learning Podcast, the podcast about machine learning and how to bring it from idea to delivery. As more people start using AI for projects, two things are clear: It's a rapidly advancing field, but it's tough to navigate. How can you get the best results for your use case? Instead of being subjected to a bunch of buzzword bingo, hear directly from pioneers in the developer and data science space on how they use graph tech to build AI-powered apps. . Attend the dev and ML talks at NODES 2023, a free online conference on October 26 featuring some of the brightest minds in tech. Check out the agenda and register today at Neo4j.com/NODES (https://Neo4j.com/NODES). Your host is Tobias Macey and today I'm interviewing Matt Turck about his work on the MAD (ML, AI, and Data) landscape and the insights he has gained on the ML ecosystem Interview Introduction How did you get involved in machine learning? Can you describe what the MAD landscape project is and the story behind it? What are the major changes in the ML ecosystem that you have seen since you first started compiling the landscape? How have the developments in consumer-grade AI in recent years changed the business opportunities for ML/AI? What are the coarse divisions that you see as the boundaries that define the different categories for ML/AI in the landscape? For ML infrastructure products/companies, what are the biggest challenges that they face in engineering and customer acquisition? What are some of the challenges in building momentum for startups in AI (existing moats around data access, talent acquisition, etc.)? For products/companies that have ML/AI as their core offering, what are some strategies that they use to compete with "big tech" companies that already have a large corpus of data? What do you see as the societal vs. business importance of open source models as AI becomes more integrated into consumer facing products? What are the most interesting, innovative, or unexpected ways that you have seen ML/AI used in business and social contexts? What are the most interesting, unexpected, or challenging lessons that you have learned while working on the ML/AI elements of the MAD landscape? When is ML/AI the wrong choice for businesses? What are the areas of ML/AI that you are paying closest attention to in your own work? Contact Info Website (https://mattturck.com/) @mattturck (https://twitter.com/mattturck) on Twitter Parting Question From your perspective, what is the biggest barrier to adoption of machine learning today? Closing Announcements Thank you for listening! Don't forget to check out our other shows. The Data Engineering Podcast (https://www.dataengineeringpodcast.com) covers the latest on modern data management. Podcast.__init__ () covers the Python language, its community, and the innovative ways it is being used. Visit the site (https://www.themachinelearningpodcast.com) to subscribe to the show, sign up for the mailing list, and read the show notes. If you've learned something or tried out a project from the show then tell us about it! Email hosts@themachinelearningpodcast.com (mailto:hosts@themachinelearningpodcast.com)) with your story. To help other people find the show please leave a review on iTunes (https://podcasts.apple.com/us/podcast/the-machine-learning-podcast/id1626358243) and tell your friends and co-workers Links MAD Landscape (https://mad.firstmark.com/) Data Engineering Podcast Episode (https://www.dataengineeringpodcast.com/mad-landscape-2023-data-infrastructure-episode-369) First Mark Capital (https://firstmark.com/) Bayesian Techniques (https://en.wikipedia.org/wiki/Bayesian_inference) Hadoop (https://hadoop.apache.org/) ChatGPT (https://chat.openai.com/) AutoGPT (https://news.agpt.co/) Dataiku (https://www.dataiku.com/) Generative AI (https://generativeai.net/) Databricks (https://www.databricks.com/) MLOps (https://ml-ops.org/) OpenAI (https://openai.com/) Anthropic (https://www.anthropic.com/) DeepMind (https://www.deepmind.com/) BloombergGPT (https://www.bloomberg.com/company/press/bloomberggpt-50-billion-parameter-llm-tuned-finance/) HuggingFace (https://huggingface.co/) Jexi (https://www.imdb.com/title/tt9354944/) Movie "Her" (https://www.imdb.com/title/tt1798709/?ref_=fn_al_tt_1) Movie Synthesia (https://www.synthesia.io/) The intro and outro music is from Hitman's Lovesong feat. Paola Graziano (https://freemusicarchive.org/music/The_Freak_Fandango_Orchestra/Tales_Of_A_Dead_Fish/Hitmans_Lovesong/) by The Freak Fandango Orchestra (http://freemusicarchive.org/music/The_Freak_Fandango_Orchestra/)/CC BY-SA 3.0 (https://creativecommons.org/licenses/by-sa/3.0/)

Today's episode marks the return of our 'AI Futures' series, where we explore what AI means for the future of our society and species with a more academic caliber of guests. Today's guest is Florian Douetteau, Co-founder and CEO of Dataiku, a Europe-based artificial intelligence and machine learning unicorn that builds custom business solutions for what they call "Everyday AI" in industrial sectors like retail, healthcare, banking and beyond. Florian joins Emerj CEO and Head of Research Daniel Faggella on today's show to imagine what life will look like where experiences – from work to play and everything in between – will take place entirely in AI-generated virtual reality and what this will mean for societies and economies around the world. If you've enjoyed or benefited from the insights in this episode, consider leaving us a five-star review on Apple Podcasts, and let us know what you learned, found helpful, or liked most about this show!

Join us in this thought-provoking episode as we explore the disruptive potential of AI and its impact on major corporations. Conor Jensen from Dataiku shares insights into how AI is reshaping the business landscape and why it may spell doom for large organizations. Gain a fresh perspective on the future of industry and innovation in this enlightening conversation. Get on the AI Box Waitlist: https://AIBox.ai/Join our ChatGPT Community: ⁠https://www.facebook.com/groups/739308654562189/⁠Follow me on Twitter: ⁠https://twitter.com/jaeden_ai⁠

In this episode, we delve into Conor Jensen's provocative argument that AI could be the downfall of major companies if not adopted or implemented correctly. We explore the key factors that could make AI a double-edged sword for businesses, from organizational challenges to ethical considerations. Dataiku.com Investor Email: jaeden@aibox.ai Get on the AI Box Waitlist: ⁠https://AIBox.ai/⁠ Facebook Community: ⁠⁠https://www.facebook.com/groups/739308654562189/⁠⁠ Discord Community: ⁠https://aibox.ai/discord⁠ Follow me on X: ⁠https://twitter.com/jaeden_ai⁠

Danny Sandwell, Senior Solutions Manager with Quest, and Conor Jensen, Field CDO with Dataiku, join host Andrew Miller to discuss the new Best Practices Report on achieving scalable, agile and comprehensive data management and data governance. To download and explore this report further please visit: TDWI Best Practices Reports. This is part two of our three-part series on this topic.

InterWorks' Content Manager Garrett Sauls sits down with two time Dataiku Neuron and InterWorks Analytics Architect Rachel Kurtz about the AI/ML craze, what's new with Dataiku and more.

15 Aug 2023. We celebrate Indian independence day by examining the business & cultural links between UAE & India with Piyush Singh of Tremis Capital. Plus, as DAE has bought 64 new Boeing planes, we ask Firoz Tarapore why they've decided to pick up this order book. And could AI investments reach $200 billion by 2025? Goldman Sachs research thinks so. We asked Siddhartha Bhatia of Dataiku if AI could replace our jobs. See omnystudio.com/listener for privacy information.

Today we're joined by Florian Douetteau, CEO and Co-Founder of Dataiku, for a conversation about the Dataiku platform, emerging use cases for Generative AI in the enterprise and some leadership lessons learned along the way.You can find Florian's essay, The Children of AI, here: https://children-of-ai.florian-douetteau.comtwitter.com/fdouetteaudataiku.comIn Conversation with Florian Douetteau Blog PostData Driven NYC YouTube Channeltwitter.com/mattturcklinktr.ee/mattturck

Today's guest is Strategic Advisor for Dataiku, Kurt Muehmel. Dataiku is an AI and machine learning company with over $4.6 billion in funding. In conversation with Emerj Senior Editor Matthew DeMello, Kurt dissects the business challenges driving trends that are described as the “broad democratization” of data in financial services and other surrounding sectors. Later, they take a closer look at how businesses will navigate the transitions therein from both cultural and technical standpoints. If you've enjoyed or benefited from some of the insights of this episode, consider leaving us a five-star review on Apple Podcasts, and let us know what you learned, found helpful, or liked most about this show!  

Summary The data ecosystem has been building momentum for several years now. As a venture capital investor Matt Turck has been trying to keep track of the main trends and has compiled his findings into the MAD (ML, AI, and Data) landscape reports each year. In this episode he shares his experiences building those reports and the perspective he has gained from the exercise. Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Businesses that adapt well to change grow 3 times faster than the industry average. As your business adapts, so should your data. RudderStack Transformations lets you customize your event data in real-time with your own JavaScript or Python code. Join The RudderStack Transformation Challenge today for a chance to win a $1,000 cash prize just by submitting a Transformation to the open-source RudderStack Transformation library. Visit dataengineeringpodcast.com/rudderstack (https://www.dataengineeringpodcast.com/rudderstack) today to learn more Your host is Tobias Macey and today I'm interviewing Matt Turck about his annual report on the Machine Learning, AI, & Data landscape and the insights around data infrastructure that he has gained in the process Interview Introduction How did you get involved in the area of data management? Can you describe what the MAD landscape report is and the story behind it? At a high level, what is your goal in the compilation and maintenance of your landscape document? What are your guidelines for what to include in the landscape? As the data landscape matures, how have you seen that influence the types of projects/companies that are founded? What are the product categories that were only viable when capital was plentiful and easy to obtain? What are the product categories that you think will be swallowed by adjacent concerns, and which are likely to consolidate to remain competitive? The rapid growth and proliferation of data tools helped establish the "Modern Data Stack" as a de-facto architectural paradigm. As we move into this phase of contraction, what are your predictions for how the "Modern Data Stack" will evolve? Is there a different architectural paradigm that you see as growing to take its place? How has your presentation and the types of information that you collate in the MAD landscape evolved since you first started it?~~ What are the most interesting, innovative, or unexpected product and positioning approaches that you have seen while tracking data infrastructure as a VC and maintainer of the MAD landscape? What are the most interesting, unexpected, or challenging lessons that you have learned while working on the MAD landscape over the years? What do you have planned for future iterations of the MAD landscape? Contact Info Website (https://mattturck.com/) @mattturck (https://twitter.com/mattturck) on Twitter MAD Landscape Comments Email (mailto:mad2023@firstmarkcap.com) Parting Question From your perspective, what is the biggest gap in the tooling or technology for data management today? Closing Announcements Thank you for listening! Don't forget to check out our other shows. Podcast.__init__ (https://www.pythonpodcast.com) covers the Python language, its community, and the innovative ways it is being used. The Machine Learning Podcast (https://www.themachinelearningpodcast.com) helps you go from idea to production with machine learning. Visit the site (https://www.dataengineeringpodcast.com) to subscribe to the show, sign up for the mailing list, and read the show notes. If you've learned something or tried out a project from the show then tell us about it! Email hosts@dataengineeringpodcast.com (mailto:hosts@dataengineeringpodcast.com)) with your story. To help other people find the show please leave a review on Apple Podcasts (https://podcasts.apple.com/us/podcast/data-engineering-podcast/id1193040557) and tell your friends and co-workers Links MAD Landscape (https://mad.firstmarkcap.com) First Mark Capital (https://firstmark.com/) Bayesian Learning (https://en.wikipedia.org/wiki/Bayesian_inference) AI Winter (https://en.wikipedia.org/wiki/AI_winter) Databricks (https://www.databricks.com/) Cloud Native Landscape (https://landscape.cncf.io/) LUMA Scape (https://lumapartners.com/lumascapes/) Hadoop Ecosystem (https://www.analyticsvidhya.com/blog/2020/10/introduction-hadoop-ecosystem/) Modern Data Stack (https://www.fivetran.com/blog/what-is-the-modern-data-stack) Reverse ETL (https://medium.com/memory-leak/reverse-etl-a-primer-4e6694dcc7fb) Generative AI (https://generativeai.net/) dbt (https://www.getdbt.com/) Transform (https://transform.co/) Podcast Episode (https://www.dataengineeringpodcast.com/transform-co-metrics-layer-episode-206/) Snowflake IPO (https://www.cnn.com/2020/09/16/investing/snowflake-ipo/index.html) Dataiku (https://www.dataiku.com/) Iceberg (https://iceberg.apache.org/) Podcast Episode (https://www.dataengineeringpodcast.com/tabular-iceberg-lakehouse-tables-episode-363) Hudi (https://hudi.apache.org/) Podcast Episode (https://www.dataengineeringpodcast.com/hudi-streaming-data-lake-episode-209/) DuckDB (https://duckdb.org/) Podcast Episode (https://www.dataengineeringpodcast.com/duckdb-in-process-olap-database-episode-270/) Trino (https://trino.io/) Y42 (https://www.y42.com/) Podcast Episode (https://www.dataengineeringpodcast.com/y42-full-stack-data-platform-episode-295) Mozart Data (https://www.mozartdata.com/) Podcast Episode (https://www.dataengineeringpodcast.com/mozart-data-modern-data-stack-episode-242/) Keboola (https://www.keboola.com/) MPP Database (https://www.techtarget.com/searchdatamanagement/definition/MPP-database-massively-parallel-processing-database) The intro and outro music is from The Hug (http://freemusicarchive.org/music/The_Freak_Fandango_Orchestra/Love_death_and_a_drunken_monkey/04_-_The_Hug) by The Freak Fandango Orchestra (http://freemusicarchive.org/music/The_Freak_Fandango_Orchestra/) / CC BY-SA (http://creativecommons.org/licenses/by-sa/3.0/)

La crise de la quarantaine a été un véritable tournant dans la vie de Marc Batty ! “À l'approche de la quarantaine, j'ai eu ce coup de massue avec la crise environnementale… et je me suis retrouvé à me dire : qu'est-ce que je fais là et comment je peux être plus utile… ” L'histoire de Marc débute en 1996, alors qu'il est encore étudiant chez AgroParisTech. Après plusieurs stages et travaux d'études, il est embauché comme Ingénieur R&D dans une entreprise spécialisée en aquaculture. En 2001, il décide de changer de voie pour se lancer dans la tech, sa seconde passion. Un milieu dans lequel il restera 20 ans et développera une startup à succès dans le B2B : Dataiku. C'est en 2012, qu'il développe cet outil de data science avec ses associés. Objectif: internaliser la récolte et la gestion des données en interne. Un positionnement innovant sur le marché de la tech. La startup se démarque de ses concurrents et connaît un franc succès. Aujourd'hui, elle compte plus de 1200 employés en France et à l'étranger. Mais en 2019, tout bascule ! Marc ressent le besoin de donner du sens à son quotidien. Il prend conscience de l'urgence climatique et souhaite agir face à cette crise environnementale. Il renoue avec son premier amour : l'agriculture. Un retour aux sources qui donne vie à FEVE (Fermes En Vie), une organisation dont la mission est d'aider les agriculteurs à s'installer en créant des fermes agroécologiques. Marc et ses collaborateurs ont pour ambition de contribuer à changer le modèle agricole français. Aujourd'hui, Marc a trouvé sa mission. On parle de : Les débuts de l'aventure de Dataiku ; L'enjeu autour de l'appartenance de la data ; Comment Dataiku a réussi à faire sa place sur le marché de la donnée ; La prise de conscience de Mark sur l'impact environnemental ; Le parcours de Marc dans l'agro et l'aquaculture ; La création et les ambitions de FEVE d'ici à 2025 ; Les enjeux de l'agroécologie ; Les futurs défis et le financement de FEVE. En bonus, Marc Batty vous offre 50% de remise sur les frais de souscription à la foncière solidaire de FEVE.co avec le code DOIT ! TIMELINE : 00:00:00 : Présentation de Marc et histoire de Dataiku 01:03:43 : Les débuts de Marc comme Ingénieur Agro 01:21:10 : La création de FEVE 01:58:35 : Les ambitions de FEVE pour accompagner la transition de l'agroécologie On a cité avec Marc plusieurs anciens épisodes de GDIY : #302 - Thierry Pick - Clinitex #305 - Paul Mouginot - Stabler Avec Marc, on a parlé de : Mickael Marzouk de Foule Factory Éric Mareau - Corporate Paris Image de la mercedes avec Midjourney Discours choc des étudiants d'AgroParisTech La Safer Plateforme La grange Jérôme Masurel - CEO 50 Partners Marc vous recommande de lire : Permaculture : Guérir la terre, nourrir les hommes de Perrine et Charles Hervé-Gruyer Si vous avez apprécié cet épisode, laissez un commentaire sur nos posts LinkedIn ou Instagram. Si vous voulez faire découvrir cet épisode, taguez un ami. La musique du générique vous plaît ? C'est à Morgan Prudhomme que je la dois ! Contactez-le sur : https://studio-module.com. Vous souhaitez sponsoriser Génération Do It Yourself ou nous proposer un partenariat ? Contactez mon label Orso Media via ce formulaire. Pour participer au financement des fermes de FEVE et placer votre argent dans la transition écologique, cliquez ICI. Retrouvez Marc Batty sur LinkedIn et sur le site de Fermes En Vie.

Vulnerability is an important quality often overlooked in the world of tech. Yet being vulnerable and authentic helps you to set realistic expectations, speak with executives on a human level, and connect with your audience. In this episode, Satyen interviews Jepson (Ben) Taylor, Chief AI Strategist at Dataiku. Jepson is a visionary in the advancements of AI, ML, and data science. Prior to joining Dataiku, he served as the Chief AI Evangelist at DataRobot and co-founded the deep learning startup Zeff.ai, which was acquired by DataRobot in 2020. Jepson is a frequent industry speaker and collaborates with the data science community to improve AI and deep learning. Satyen and Jepson discuss the power of failure, the lie of job security, and proving data's worth through storytelling.--------"If nothing is failing, then it's not a very innovative company, not a very innovative culture. So there is a fraction of failure that for a mature organization you should celebrate. But with failure, you have the time urgency. How can we fail faster? I'd rather fail this week than four months from now." – Jepson Taylor--------Time Stamps:*(03:25): The special ingredient for speaking with executives*(11:52): Learning to embrace the expectation of failure and failing fast*(18:13): The two rules of good storytelling: authenticity and knowing your audience*(30:47): Jepson's advice for joining a startup and the lie of job security*(44:08): The importance of celebrating the soul of your user*(50:43): Satyen's Takeaways--------SponsorThis podcast is presented by Alation.Learn more:* Subscribe to the newsletter: https://www.alation.com/podcast/* Alation's LinkedIn Profile: https://www.linkedin.com/company/alation/* Satyen's LinkedIn Profile: https://www.linkedin.com/in/ssangani/--------LinksFollow Jepson on LinkedInFollow Jepson on Twitter

Ulysses David, the former Global VP, Global Strategy / GM, India at Dataiku joins the Bowery Capital Startup Sales Podcast to discuss "Leveraging India To Scale Adoption & Growth.'

Logan Bartlett is a Managing Director @ Redpoint, a firm with a portfolio including the likes of Stripe, Nubank, Twilio, Netflix, Snowflake and many more incredible names. As for Logan, at Redpoint he has led investments in the likes of Ramp, Monte Carlo, Cribl, Crossbeam and Acuity MD to name a few. Before joining Redpoint, Logan spent over 5 years with the team at Battery where he made investments in Pendo, Amplitude, Dataiku, Braze and Kustomer. In Today's Episode with Logan Bartlett We Discuss: 1.) Entry into Venture: How Logan made his way into the world of venture joining Battery Ventures? What are 1-2 of Logan's biggest takeaways from his time with Battery? What does Logan know now that he wishes he had known when he started in venture? 2.) The Venture Landscape Today: Is now really the best time to be investing? How does Logan compare today to prior vintages? How does this differ when comparing consumer to B2B? How does Logan analyze the state of the growth market? Is anyone really doing deals today? If so, what is the discount on price vs last year? How do the public markets impact the later stage financings which have disappeared in the last 3 months? How do the later stage financings impact the early stage? Does Logan agree that "venture has never been less collaborative as it is today"? 3.) The Role of the Venture Investor: Why does Logan believe that VCs have gotten lazy over the last 2 years? Does Logan believe we will see even more GPs at the top retire in the downturn? How does Logan analyse his role as a board member today? How has his style changed over time? What is the single best board Logan is on? Why that one? Who is the best board member Logan works with? What makes this board member so good? How does Logan assess the importance of personal brand in venture today? Why does Logan believe no company should hire PR firms from the early days? 4.) Investing Style and Lessons: What has been Logan's single biggest hit as an investor? How did seeing that impact his mindset? What has been Logan's biggest miss? How did not doing the investment change how he thinks about making new investments today? How does Logan assess his own relationship to price? How has it changed over time? As a growth investor today, how important is ownership? How does this change with stage? Items Mentioned in Today's Episode: Logan's Favourite Book: Team of Rivals: The Political Genius of Abraham Lincoln Logan's Most Recent Investment: AcuityMD