Let's Talk AI

🎙️ Who is Peter Gostev?Peter Gostev is the Head of AI at Moonpig, specializing in generative AI and its transformative applications in e-commerce. With a strong background in structured problem-solving and data analytics, Peter emphasizes the importance of collaboration and rapid prototyping to drive innovation in AI projects.💡 In this episode...... we explore Peter's journey in the AI landscape, discussing the balance between delivering immediate value and fostering innovative experimentation. He shares insights on the distinctions between classical and generative AI, highlighting their respective use cases in structured and unstructured data. Peter elaborates on how generative AI can enhance data quality and operational efficiency, particularly in customer service through automation and insights extraction.The conversation also addresses the challenges of integrating AI into software development, advocating for specialized teams to effectively manage new technologies. Peter encourages continuous learning and experimentation in AI, urging listeners to engage with emerging tools and models to drive innovation in their own practices.Peter Gostev: https://www.linkedin.com/in/peter-gostev/Follow Let's Talk AI:✉️ Newsletter 👉 http://eepurl.com/ijZ8qz🎙️ Podcast 👉 http://smartlink.ausha.co/let-s-talk-ai/📹 Youtube 👉 https://www.youtube.com/@lets-talk-ai📷 Instagram 👉 https://www.instagram.com/lets_talk_ai/🎞️ TikTok 👉 https://www.tiktok.com/@letstalkai/🌐 Website 👉 https://lets-talk-ai.com/Hosted by Ausha. See ausha.co/privacy-policy for more information.

🎙️ Who is Daniel Lenton?Daniel Lenton is the CEO of Unify, on a mission tounify and simplify the LLM landscape. He has a background in machine learning deployment, as well as in robotics and computer vision. Daniel is an intellectual and creative problem solver who values consistency, balance, and expectation management when building a startup.💡 In this episode...... we discuss Daniel's background in machine learning deployment and pursuit of interests in robotics and computer vision. He shares insights on effective communication, user discovery, and gaining insights from customer sales calls for building a successful start-up. He values consistency, balance, and expectation management and credits YC for giving him productivity tips to achieve this. He believes in prioritizing joy and ethics and acknowledges advancements and limitations in AI and AGI.Daniel Lenton: https://www.linkedin.com/in/daniellenton/Thomas Bustos: https://www.linkedin.com/in/thomasbustos/Artistic Direction & Video: Maxence KerhoasFollow Let's Talk AI:✉️ Newsletter 👉 http://eepurl.com/ijZ8qz🎙️ Podcast 👉 http://smartlink.ausha.co/let-s-talk-ai/📹 Youtube 👉 https://www.youtube.com/@lets-talk-ai📷 Instagram 👉 https://www.instagram.com/lets_talk_ai/🎞️ TikTok 👉 https://www.tiktok.com/@letstalkai/🌐 Website 👉 https://lets-talk-ai.com/Hosted by Ausha. See ausha.co/privacy-policy for more information.

🎙️ Who is Demetrios Brinkmann?Demetrios Brinkmann is the Founder and CEO of the MLOps Community, and also serves as a Conference Host. He is an expert in AI implementation for technical & non-technical professionals and has extensive knowledge of workflow optimization and AI automation. He has a passion for helping people find joy in AI implementation, and believes in augmenting expertise with AI instead of replacing it. Demetrios is also skilled in optimizing productivity through human-AI collaboration and effective decision-making.💡 In this episode...... we discuss AI incorporation and workflow optimization. Demetrios shares his expertise on improving efficiency and finding joy in AI implementation for professionals. Demetrios also emphasizes the importance of augmenting expertise with AI rather than replacing it, and optimizing productivity through human-AI collaboration. He provides insightful tips for improving case studies workflow, integrating AI in workflows, and optimizing web development processes. The episode also includes discussions on voice AI use cases, AI in customer service, and streamlining podcast production. Additionally, Demetrios shares his valuable insights on data engineering, financial operations, and MLOps in AI (and more!!).Demetrios Brinkmann: https://www.linkedin.com/in/nozurbina/MLOps Community: https://mlops.community/Deepgram: https://deepgram.com/Data Engineering for AI/ML Conference (12 september 2024): https://home.mlops.community/home/events/dataengforai?agenda_day=665ee46e12463aa4df4d48b2&agenda_track=665ee46f12463aa4df4d48c4&agenda_stage=665ee46e12463aa4df4d48b8&agenda_filter_view=stage&agenda_view=listThomas Bustos: https://www.linkedin.com/in/thomasbustos/Artistic Direction & Video: Maxence KerhoasFollow Let's Talk AI:✉️ Newsletter 👉 http://eepurl.com/ijZ8qz🎙️ Podcast 👉 http://smartlink.ausha.co/let-s-talk-ai/📹 Youtube 👉 https://www.youtube.com/@lets-talk-ai📷 Instagram 👉 https://www.instagram.com/lets_talk_ai/🎞️ TikTok 👉 https://www.tiktok.com/@letstalkai/🌐 Website 👉 https://lets-talk-ai.com/Hosted by Ausha. See ausha.co/privacy-policy for more information.

🎙️ Who is Noz Urbina?Noz Urbina is a content value designer, strategist, and podcaster who specializes in helping enterprises leverage AI and omnichannel for building brands that have relationships with their customers and to foster communities digitally. He has over 14 years of experience in content strategy and customer experience consultancy, where he is a pioneer in adaptive content modelling for delivering personalized, contextually relevant content experiences in an omnichannel environment. Noz has coached teams, developed processes, and spearheaded solutions for some of the world's largest organizations such as Eli Lilly Pharmaceuticals, Barclays Bank, Microsoft, and many more. He is also the founder of Urbina Consulting and OmnichannelX.digital, where he facilitates community learning and enables cross-industry collaboration. Noz is well-known for his work on customer journey mapping, structured content, project planning and scoping, and high-tech product evangelism.💡 In this episode...... we discuss how AI is enhancing content creation and the entire content life cycle, specifically in journey mapping, persona creation, and lead scoring. Noz also shares insights on building adaptable AI frameworks, optimizing customer engagement through omnichannel design, and measuring success in patient-centered content projects.Noz Urbina: https://www.linkedin.com/in/nozurbina/Urbina Consulting: https://urbinaconsulting.com/Omnichannel X: https://www.omnichannelx.digital/Thomas Bustos: https://www.linkedin.com/in/thomasbustos/Artistic Direction & Video: Maxence KerhoasFollow Let's Talk AI:✉️ Newsletter 👉 http://eepurl.com/ijZ8qz🎙️ Podcast 👉 http://smartlink.ausha.co/let-s-talk-ai/📹 Youtube 👉 https://www.youtube.com/@lets-talk-ai📷 Instagram 👉 https://www.instagram.com/lets_talk_ai/🎞️ TikTok 👉 https://www.tiktok.com/@letstalkai/🌐 Website 👉 https://lets-talk-ai.com/Hosted by Ausha. See ausha.co/privacy-policy for more information.

🎙️ Who is Markus Stoll?Markus Stoll is an expert AI guest who is well-versed in creating advanced software solutions for the efficient exploration of unstructured data. Markus is the Co-Founder and CTO of Renumics, a company that specializes in developing open-source tools for visualization in Data-Centric AI. Not only has Markus extensive experience in solving complex problems using workflow and visualization, but he also has a strong engineering background too. From Engineer to CTO, Markus has taken his passion for AI and founded Renumics, which has evolved over the years, and today, it's successfully developing machine learning and visualization solutions.💡 In this episode...... we discuss Markus's experience in creating advanced software solutions for exploring unstructured data. Markus discusses how feedback, domain understanding, and foundational models can be used to build scalable data evaluation projects and recommendation systems. He also highlights the challenges and opportunities of building RAG systems, the importance of glossaries and future fine-tuning, and introduces Spotlight, a powerful open-source tool for comprehensive data analysis. Finally, Markus introduces an open-source audio data segmentation and labeling tool that shifts from 3D visualization to audio data labeling based on user feedback.Markus Stoll: https://www.linkedin.com/in/markus-stoll-b39a42138/Markus's Medium: https://medium.com/@markus.stollGithub spotlight: https://github.com/Renumics/spotlightRenumics: https://renumics.com/Thomas Bustos: https://www.linkedin.com/in/thomasbustos/Artistic Direction & Video: Maxence KerhoasFollow Let's Talk AI:✉️ Newsletter 👉 http://eepurl.com/ijZ8qz🎙️ Podcast 👉 http://smartlink.ausha.co/let-s-talk-ai/📹 Youtube 👉 https://www.youtube.com/@lets-talk-ai📷 Instagram 👉 https://www.instagram.com/lets_talk_ai/🎞️ TikTok 👉 https://www.tiktok.com/@letstalkai/🌐 Website 👉 https://lets-talk-ai.com/Hosted by Ausha. See ausha.co/privacy-policy for more information.

🎙️ Who is Maxime Labonne?Maxime Labonne is a Staff Machine Learning Scientist at Liquid AI. Maxime received his PhD from the Polytechnic Institute of Paris and has been working with machine learning since 2019. He has applied his expertise in various contexts, including R&D, industry, finance, and academia. He is also an AI/ML Google Developer Expert. Maxime is widely known for creating popular LLMs on Hugging Face, like AlphaMonarch-7B, Beyonder-4x7B, Phixtral, and NeuralBeagle14. He also released LLM tools, such as LLM AutoEval, LazyMergekit, LazyAxolotl, and AutoGGUF. Maxime is the author of the technical book "Hands-On Graph Neural Networks using Python," published with Packt. He has written technical articles on his blog and Towards Data Science and created the popular LLM course on GitHub, which has over 27,000 stars.💡 In this episode...... we discuss Maxime's expertise in large language models (LLMs) and graph neural networks, as well as his journey from cybersecurity to machine learning. We also talk about insights on LLMS misconceptions, evaluation optimization techniques, and creating augmented datasets for fine-tuning. Maxime also talked about graph neural networks and non-transformer architectures and provided advice for leading language model research and mentoring language model research beginners. Finally, we discuss Maxime's passion for open source and knowledge sharing.Follow Let's Talk AI:✉️ Newsletter 👉 http://eepurl.com/ijZ8qz🎙️ Podcast 👉 http://smartlink.ausha.co/let-s-talk-ai/📹 Youtube 👉 https://www.youtube.com/@lets-talk-ai📷 Instagram 👉 https://www.instagram.com/lets_talk_ai/🎞️ TikTok 👉 https://www.tiktok.com/@letstalkai/🌐 Website 👉 https://lets-talk-ai.com/Hosted by Ausha. See ausha.co/privacy-policy for more information.

🎙️ Who is Jakub Czakon?Jakub Czakon is a senior data scientist turned CMO, currently working at neptune.ai. He has a strong background in AI and LLMs in marketing and has extensive knowledge on how to apply AI in marketing for practical implementation and trust navigation. Jakub draws inspiration from chess skill levels to teach us about data science and emphasizes the importance of learning by doing. He is also an expert in strategies for effective resource allocation and trust-building in marketing and Dev Rel, and he utilizes AI and data to inform decision-making and focuses on problem solving.💡 In this episode...... we discuss the application of AI in marketing for practical implementation and trust navigation. Jakub draws inspiration from chess skill levels to teach us about data science, emphasizes the importance of learning by doing, and shares strategies for effective resource allocation and trust-building in marketing and Dev Rel. Jakub also utilizes AI and data to inform decision-making and focuses on problem-solving.Jakub Czakon: https://www.linkedin.com/in/jakub-czakon/Thomas Bustos: https://www.linkedin.com/in/thomasbustos/Artistic Direction & Video: Maxence KerhoasFollow Let's Talk AI:✉️ Newsletter 👉 http://eepurl.com/ijZ8qz🎙️ Podcast 👉 http://smartlink.ausha.co/let-s-talk-ai/📹 Youtube 👉 https://www.youtube.com/@lets-talk-ai📷 Instagram 👉 https://www.instagram.com/lets_talk_ai/🎞️ TikTok 👉 https://www.tiktok.com/@letstalkai/🌐 Website 👉 https://lets-talk-ai.com/Hosted by Ausha. See ausha.co/privacy-policy for more information.

🎙️ Who is Andrew Jardine?Andrew Jardine is the Head of GTM at Adaptive ML and an advocate for open-source ML. He is also the leader of the MLOps community in Toronto. Andrew's AI journey began as an early employee at Kira Systems, a Doc AI and NLP startup, where he developed the GTM playbook for the corporate market. He has since held commercial roles at Hugging Face, and worked in data science and MLOps industries. Andrew has a diverse background, having worked as a management consultant in London, qualified as a chartered accountant, and obtained a master's degree in engineering.💡 In this episode...... we discuss Andrew's fascination with gen AI use cases and LLMS advancements, and the challenges and benefits of implementing open-source AI. We talk about overcoming the challenges of open-source language models through an innovative LLM platform, evaluating LLMs for specific use cases, ensuring safety and toxicity, and more. Andrew also explains how open-source models can help large enterprises control costs and extract data, and discusses the choice between open or closed source models.Andrew Jardine: https://www.linkedin.com/in/andrew-iain-jardine/Thomas Bustos: https://www.linkedin.com/in/thomasbustos/Artistic Direction & Video: Maxence KerhoasFollow Let's Talk AI:✉️ Newsletter 👉 http://eepurl.com/ijZ8qz🎙️ Podcast 👉 http://smartlink.ausha.co/let-s-talk-ai/📹 Youtube 👉 https://www.youtube.com/@lets-talk-ai📷 Instagram 👉 https://www.instagram.com/lets_talk_ai/🎞️ TikTok 👉 https://www.tiktok.com/@letstalkai/🌐 Website 👉 https://lets-talk-ai.com/Hosted by Ausha. See ausha.co/privacy-policy for more information.

🎙️ Who is Alex Merced?Alex Merced is a senior technical evangelist at Dremio and co-author of "Apache Iceberg: The Definitive Guide." With a diverse career path that spans from finance to developer advocacy, he is a seasoned expert in data engineering and open standards for unifying diverse data solutions. Alex is passionate about the open-source community and the excitement around data lake house technologies, which he specializes in.💡 In this episode...... we discuss data engineering and open-source technology as well as unified platforms, data lake houses, and how they can benefit AI and marketing analytics. Alex shares how Dremio's data lake house platform can optimize query performance, reduce costs, and increase scalability. He also gives advice on getting involved in the open-source community and creating value through curiosity and detours.Alex Merced: https://www.linkedin.com/in/alexmerced/Thomas Bustos: https://www.linkedin.com/in/thomasbustos/Artistic Direction & Video: Maxence KerhoasFollow Let's Talk AI:✉️ Newsletter 👉 http://eepurl.com/ijZ8qz🎙️ Podcast 👉 http://smartlink.ausha.co/let-s-talk-ai/📹 Youtube 👉 https://www.youtube.com/@lets-talk-ai📷 Instagram 👉 https://www.instagram.com/lets_talk_ai/🎞️ TikTok 👉 https://www.tiktok.com/@letstalkai/🌐 Website 👉 https://lets-talk-ai.com/Hosted by Ausha. See ausha.co/privacy-policy for more information.

🎙️ Who is Malcolm Hawker?Malcolm Hawker is the Head of Data Strategy at Profisee | Data Management. With over 25 years of experience in data and analytics, Malcolm is a recognized thought leader and advisor in the field of Master Data Management (MDM) and Data Governance. He has helped some of the world's largest businesses to improve their enterprise information management strategies and is passionate about sharing practical and actionable insights on how to leverage data as a strategic asset. Malcolm hosts the CDO Matters podcast where he interviews senior data leaders from various industries and domains and aims to raise the awareness and value of MDM and Data Governance globally, empowering companies with the best practices and solutions to overcome their data quality challenges and achieve their business goals.💡 In this episode...... we discuss the challenges and strategies for Chief Data Officers in building valuable data-driven products, quantifying the value of data and analytics, and improving data quality. We also explores the relationship between CIOs and CDOs, challenges in implementing Master Data Management (MDM), and the importance of data governance policies. Malcom emphasizes the role of governance in driving business success and measuring the effectiveness of data-driven decisions, as well as the limitations of marketing attribution models and effective use of MDM in AI implementation.Malcolm Hawker: https://www.linkedin.com/in/malhawker/Thomas Bustos: https://www.linkedin.com/in/thomasbustos/Artistic Direction & Video: Maxence KerhoasFollow Let's Talk AI:✉️ Newsletter 👉 http://eepurl.com/ijZ8qz🎙️ Podcast 👉 http://smartlink.ausha.co/let-s-talk-ai/📹 Youtube 👉 https://www.youtube.com/@lets-talk-ai📷 Instagram 👉 https://www.instagram.com/lets_talk_ai/🎞️ TikTok 👉 https://www.tiktok.com/@letstalkai/🌐 Website 👉 https://lets-talk-ai.com/Hosted by Ausha. See ausha.co/privacy-policy for more information.

🎙️ Who is Kyle Weller?Kyle is Head of Product at Onehouse.ai and ex-Azure Databricks. With over a decade of experience in managing teams of 2-60 people, Kyle is a proven product leader who specializes in data engineering and lake house architectures. He has scaled products for global enterprises to drive modernization of their data estates. Kyle also volunteered as an Entrepreneurship Coach and mentor for incarcerated and formerly incarcerated individuals. He has contributed to the open-source community by introducing the One Table project for interoperability and empowering positive change through collaboration.💡 In this episode...... we discuss Kyle's experience in data engineering and lake house architectures. He shares his insights on building data platforms and products, overcoming challenges and optimizing performance with One House, exploring diverse lake house table formats, empowering positive change through open source collaboration, scaling strategies, team alignment challenges at Databricks, and tips for beginners and advancing in the data engineering field.Kyle Weller: https://www.linkedin.com/in/lakehouse/Onehouse: https://www.onehouse.ai/Apache XTable™ (incubating): https://xtable.apache.org/Thomas Bustos: https://www.linkedin.com/in/thomasbustos/Artistic Direction & Video: Maxence KerhoasFollow Let's Talk AI:✉️ Newsletter 👉 http://eepurl.com/ijZ8qz🎙️ Podcast 👉 http://smartlink.ausha.co/let-s-talk-ai/📹 Youtube 👉 https://www.youtube.com/@lets-talk-ai📷 Instagram 👉 https://www.instagram.com/lets_talk_ai/🎞️ TikTok 👉 https://www.tiktok.com/@letstalkai/🌐 Website 👉 https://lets-talk-ai.com/Hosted by Ausha. See ausha.co/privacy-policy for more information.

🎙️ Who is James Serra?James Serra is a Technical Specialist at Microsoft with over 35 years of expertise in data warehousing and data management, making him a thought leader in the use and application of Big Data technologies. He is also well-versed in a number of data design concepts and methodologies, including normalized, relational, dimensional, and columnar approaches. Moreover, he has been a team leader and mentor for multiple large-scale, full life-cycle database implementations, from requirements and design through development, client acceptance and production. James is also a popular blogger, author, and speaker, having presented at PASS Summit, SQLBits, Enterprise Data World conference, Big Data Conference Europe, and dozens of SQL Saturdays. His specialties include business intelligence, data warehousing, big data, Hadoop, cloud, master data management, machine learning, solution architecture, ETL, data modeling, data migration, dashboarding, Kimball methodology, massively parallel processing, database architecture, data integration, and performance tuning among others.💡 In this episode...... we discuss his journey, the evolution of storing and reporting data, the use of AI technology for better business decisions and tips for staying up-to-date in the ever-changing world of technology and AI. We also delve into Microsoft's use of AI in providing insights on political advertisements.James Serra: https://www.linkedin.com/in/jamesserra/James's Book: https://www.amazon.com/Deciphering-Data-Architectures-Warehouse-Lakehouse/dp/1098150767Thomas Bustos: https://www.linkedin.com/in/thomasbustos/Artistic Direction & Video: Maxence KerhoasFollow Let's Talk AI:✉️ Newsletter 👉 http://eepurl.com/ijZ8qz🎙️ Podcast 👉 http://smartlink.ausha.co/let-s-talk-ai/📹 Youtube 👉 https://www.youtube.com/@lets-talk-ai📷 Instagram 👉 https://www.instagram.com/lets_talk_ai/🎞️ TikTok 👉 https://www.tiktok.com/@letstalkai/🌐 Website 👉 https://lets-talk-ai.com/Hosted by Ausha. See ausha.co/privacy-policy for more information.

🎙️ Who is Anna Skoulikari?Anna Skoulikari is a multi-faceted technical writer with expertise in git education and simplifying technical writing. She is also the author of a book titled 'Learning Git - A Hands-On and Visual Guide to the Basics of Git!' published by O'Reilly. Anna has a website and she also has a mailing list for those who want to receive updates on the things she does or creates. Anna is an excellent Git educator who prioritizes user experience and simplifying development goals. She has expertise in information architecture, API documentation, user guides, tutorials, and other markup languages. Anna emphasizes effective revision strategies, prioritizing user testing, and embracing imperfection and iteration in UX design in her work.💡 In this episode...... we discuss her expertise in technical writing and git education. She shares tips and strategies for simplifying technical writing and improving user experience in development goals. Anna emphasizes effective revision strategies and embracing imperfection and iteration in UX design. She encourages career pivoting and experimentation, offering sound advice for those in UX/UI/Technical Writing. Overall, Anna is an excellent Git educator with a multi-faceted and clear vision for writing.Kunal Agarwal: https://www.linkedin.com/in/kunalkunal/Learning Git: https://www.amazon.com/Learning-Git-Hands-Visual-Basics/dp/1098133919Anna's Website: https://www.annaskoulikari.com/Thomas Bustos: https://www.linkedin.com/in/thomasbustos/Artistic Direction & Video: Maxence KerhoasFollow Let's Talk AI:✉️ Newsletter 👉 http://eepurl.com/ijZ8qz🎙️ Podcast 👉 http://smartlink.ausha.co/let-s-talk-ai/📹 Youtube 👉 https://www.youtube.com/@lets-talk-ai📷 Instagram 👉 https://www.instagram.com/lets_talk_ai/🎞️ TikTok 👉 https://www.tiktok.com/@letstalkai/🌐 Website 👉 https://lets-talk-ai.com/Hosted by Ausha. See ausha.co/privacy-policy for more information.

🎙️ Who is Kunal Agarwal?Kunal Agarwal is CEO of Unravel Data. He has a background in leading sales and implementation of Oracle products at Fortune 100 organizations. As CEO, he serves as both chief cheerleader and curator of Unravel's culture, while also keeping the team focused on customer needs. Unravel's Data Observability Platform provides comprehensive insights and tools to improve the efficiency and cost of data analytics projects for a variety of industries.💡 In this episode......we discuss about simplifying cloud data operations, Unravel's Data Observability Platform insights and tools to improve data analytics efficiency and cost for various industries. I was super curious about how they enhance metadata, how the systems works and it where what's possible with this technology gen ai.Kunal Agarwal: https://www.linkedin.com/in/kunalkunal/Unravel: https://www.unraveldata.com/Thomas Bustos: https://www.linkedin.com/in/thomasbustos/Artistic Direction & Video: Maxence KerhoasFollow Let's Talk AI:✉️ Newsletter 👉 http://eepurl.com/ijZ8qz🎙️ Podcast 👉 http://smartlink.ausha.co/let-s-talk-ai/📹 Youtube 👉 https://www.youtube.com/@lets-talk-ai📷 Instagram 👉 https://www.instagram.com/lets_talk_ai/🎞️ TikTok 👉 https://www.tiktok.com/@letstalkai/🌐 Website 👉 https://lets-talk-ai.com/Hosted by Ausha. See ausha.co/privacy-policy for more information.

🎙️ Who is Angel Sáenz de Cenzano?Ángel Sáenz de Cenzano is LinkedIn's the Country Manager for Spain and Portugal. Ángel is a visionary leader with extensive experience in driving growth and propelling change mainly in the tech industry.💡 In this episode...... we discuss Ángel's plans and leadership strategies, aligning with executives, personal branding, and maximizing LinkedIn's potential for personal and professional branding. We also touch on managing technical teams and career tips for succeeding in the tech industry.Angel Sáenz de Cenzano: https://www.linkedin.com/in/angelsaenzdecenzano/Thomas Bustos: https://www.linkedin.com/in/thomasbustos/Artistic Direction & Video: Maxence KerhoasFollow Let's Talk AI:✉️ Newsletter 👉 http://eepurl.com/ijZ8qz🎙️ Podcast 👉 http://smartlink.ausha.co/let-s-talk-ai/📹 Youtube 👉 https://www.youtube.com/@lets-talk-ai📷 Instagram 👉 https://www.instagram.com/lets_talk_ai/🎞️ TikTok 👉 https://www.tiktok.com/@letstalkai/🌐 Website 👉 https://lets-talk-ai.com/Hosted by Ausha. See ausha.co/privacy-policy for more information.

🎙️ Who is Jaime Oliver Huidobro?Jaime Oliver Huidobro is a Lead Data Scientist at Clarity AI. He holds undergraduate and master's degrees in physics, mathematics, and economics, as well as an industrial PhD in mathematical engineering. Jaime's passion for environmental, social, and corporate governance (ESG) issues led him to conduct postdoctoral research at the MIT Aggregate Confusion Project, where he focused on identifying biases in corporate emissions disclosures. Currently, at Clarity AI, Jaime is leading the integration of advanced AI systems to enhance and scale the incorporation of ESG metrics into investment processes.💡 In this episode...... we discuss Jaime's passion for sustainability and corporate governance, and how he uses data science and AI to bring sustainability to financial markets. The conversation covers ESG ratings, sustainable investments, green assets, supply chain sustainability, challenges in solving regression problems and estimating emissions accuracy, evaluating model systems, and the impact of human augmentation and trade-offs in AI systems.Jaime Oliver Huidobro: https://www.linkedin.com/in/jaime-oliver-huidobro/Thomas Bustos: https://www.linkedin.com/in/thomasbustos/Artistic Direction & Video: Maxence KerhoasFollow Let's Talk AI:✉️ Newsletter 👉 http://eepurl.com/ijZ8qz🎙️ Podcast 👉 http://smartlink.ausha.co/let-s-talk-ai/📹 Youtube 👉 https://www.youtube.com/@lets-talk-ai📷 Instagram 👉 https://www.instagram.com/lets_talk_ai/🎞️ TikTok 👉 https://www.tiktok.com/@letstalkai/🌐 Website 👉 https://lets-talk-ai.com/Hosted by Ausha. See ausha.co/privacy-policy for more information.

🎙️ Who is Piethein Strengholt?Piethein is the Chief Data Officer for Microsoft in the Netherlands and has a vast amount of experience in data management. He has worked with leading corporations, such as ABN AMRO, and has established himself as a trusted advisor for C-level executives. Piethein is passionate about sharing his insights with the community and has authored "Data Management at Scale" (O'Reilly), which offers a comprehensive guide to data management trends. He is skilled in project management, enterprise architecture, data strategy, consultancy, and complex problem-solving, with expertise in data management, data engineering, domain-driven design, machine learning, cloud, microservices, and API management, and web development. Piethein is committed to helping his customers achieve their goals through innovative data solutions and strategic guidance.💡 In this episode...... we discuss Piethein's career journey from working with computers to implementing data mesh architecture. We talk about demystifying data management and his book on democratizing data, as well as the role of a Chief Data Officer and developing a balanced data strategy. Piethein also talks about effective communication strategies and building relationships, addressing fear, and building trust for AI adoption, including Microsoft's approach to responsible AI.Piethein Strengholt: https://www.linkedin.com/in/pietheinstrengholt/Thomas Bustos: https://www.linkedin.com/in/thomasbustos/Artistic Direction & Video: Maxence KerhoasFollow Let's Talk AI:✉️ Newsletter 👉 http://eepurl.com/ijZ8qz🎙️ Podcast 👉 http://smartlink.ausha.co/let-s-talk-ai/📹 Youtube 👉 https://www.youtube.com/@lets-talk-ai📷 Instagram 👉 https://www.instagram.com/lets_talk_ai/🎞️ TikTok 👉 https://www.tiktok.com/@letstalkai/🌐 Website 👉 https://lets-talk-ai.com/Hosted by Ausha. See ausha.co/privacy-policy for more information.

🎙️ Who is Raphaël Hoogvliets?Raphaël is a data scientist and ML engineer (tech lead + trainer) who is highly skilled in leadership, team building, and fostering a positive working culture. Raphaël's passion for developing and nurturing young talent is evident through his mentorship and guidance of interns and junior colleagues, and his network of clients includes prominent names such as Rabobank, Heineken, and the European Commission.💡 In this episode...... we discuss insights on MLOps, leadership, team building, and fostering a positive working culture. We also touch on emphasizes automation, stakeholder engagement, technical responsibility, and effective communication in MLOps projects, and stresses the need to address biases and be mindful of hype in AI. Raphaël also provides valuable tips for mastering MLOps and combating imposter syndrome, and highlights the importance of creating joyful mini-cultures to build successful MLOps teams and nurture young talent.Raphaël Hoogvliets: https://www.linkedin.com/in/hoogvliets/Thomas Bustos: https://www.linkedin.com/in/thomasbustos/Artistic Direction & Video: Maxence KerhoasFollow Let's Talk AI:✉️ Newsletter 👉 http://eepurl.com/ijZ8qz🎙️ Podcast 👉 http://smartlink.ausha.co/let-s-talk-ai/📹 Youtube 👉 https://www.youtube.com/@lets-talk-ai📷 Instagram 👉 https://www.instagram.com/lets_talk_ai/🎞️ TikTok 👉 https://www.tiktok.com/@letstalkai/🌐 Website 👉 https://lets-talk-ai.com/Hosted by Ausha. See ausha.co/privacy-policy for more information.

🎙️ Who is Ole Olesen-Bagneux? Ole Olesen-Bagneux is globally recognized thought leader on data catalogs and enterprise data management. He is an O'Reilly author, with his book "The Enterprise Data Catalog" (2023). Ole holds a Ph.D. from the University of Copenhagen, in Library- and Information Science, and brings a wealth of hands-on data management and mesh experience to the conversation.💡 In this episode... ... we discuss Ole's journey, the concept of Federated Knowledge Graph and Data Mesh as a decentralized approach to data management. We also talk about the benefits of a Knowledge Graph Metadata Layer and the importance of historical analysis and metadata tools in understanding Data Culture. Ole's shares the importance to NOT rely solely on technology for Data Mesh and talk about the open learning environment within the data community.Ole Olesen-Bagneux: https://www.linkedin.com/in/ole-olesen-bagneux/Thomas Bustos: https://www.linkedin.com/in/thomasbustos/Artistic Direction & Video: Maxence KerhoasFollow Let's Talk AI:✉️ Newsletter 👉 http://eepurl.com/ijZ8qz🎙️ Podcast 👉 http://smartlink.ausha.co/let-s-talk-ai/📹 Youtube 👉 https://www.youtube.com/@lets-talk-ai📷 Instagram 👉 https://www.instagram.com/lets_talk_ai/🎞️ TikTok 👉 https://www.tiktok.com/@letstalkai/🌐 Website 👉 https://lets-talk-ai.com/Hosted by Ausha. See ausha.co/privacy-policy for more information.

🎙️ Who is Oleksandr Honchar?Oleksandr Honchar is the Director of AI Engineering and Partner at Neurons Lab with over 10 years of experience in building science-heavy products. His mission is I help deep tech innovators to speed up AI R&D and build disruptive products. Previously he worked as an independent research engineer and tech leader (mostly with medical devices and in investment management) and taught AI/ML at universities and public events.💡 In this episode...... we discuss the intersection of technology and culture and its impact on his AI business approach. Oleksandr shares his journey to founding Neurons Lab and empowering organizations with ethical AI. We also get insights on developing a diverse skill set and building successful teams for effective leadership and management. Oleksandr talks about the future of AI and its impact on society, the rise of multi-modal models in machine learning, and the challenges and warnings for machine learning in finance. And much more!The 5-Level AI Spectrum: https://www.nfx.com/post/ai-perspective-2023Oleksandr Honchar: https://www.linkedin.com/in/alexandr-honchar/Thomas Bustos: https://www.linkedin.com/in/thomasbustos/Artistic Direction & Video: Maxence KerhoasFollow Let's Talk AI:✉️ Newsletter 👉 http://eepurl.com/ijZ8qz🎙️ Podcast 👉 http://smartlink.ausha.co/let-s-talk-ai/📹 Youtube 👉 https://www.youtube.com/@lets-talk-ai📷 Instagram 👉 https://www.instagram.com/lets_talk_ai/🎞️ TikTok 👉 https://www.tiktok.com/@letstalkai/🌐 Website 👉 https://lets-talk-ai.com/Hosted by Ausha. See ausha.co/privacy-policy for more information.