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Have you ever wondered how top companies are harnessing the power of data to drive innovation and stay ahead of the competition? In this podcast, we’ll be speaking to some of the best industry minds and unlocking the secrets to leveraging data like never before. Ready for a data deep dive?
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Welcome to Data Brew by Databricks with Denny and Brooke! In this series, we explore various topics in the data and AI community and interview subject matter experts in data engineering/data science. So join us with your morning brew in hand and get ready to dive deep into data + AI! For this first season, we will be focusing on lakehouses – combining the key features of data warehouses, such as ACID transactions, with the scalability of data lakes, directly against low-cost object stores.
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In this episode of The Databricks Diaries: AI Readiness, Andy Davis sits down with Jessica Simons-Boswell, Enterprise Data Officer at Diligenta, to explore how financial services organisations can embrace AI while operating in a highly regulated, risk-averse environment. Jessica shares candid insights on: Why financial services often lag in AI adop…
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In this episode of The Databricks Diaries, Andy Davis speaks with Jack Levy, Head of Data Strategy at Allvue, about what it really takes to prepare for AI. Jack shares why strong data foundations are non-negotiable, how cross-functional teams accelerate adoption, and why governance and guardrails matter more than ever. From hackathons and prototypi…
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In this episode of The Databricks Diaries, Carole Roberts, Director of Technology and Data at Leeds Building Society, shares her journey to technology leader, and reflects on the pivotal role of data in organisational transformation. Carole provides candid insights into the cultural aspects of change, the importance of executive buy-in, and the com…
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AI's here – but are we actually ready? In this episode, I chat with Merve Alanyali, Head of Data Science at AXA UK, about what real AI readiness looks like. We unpack why solid infrastructure matters (don’t build on a swamp), the myth of “quick wins”, and how to bring your people with you on the journey. We also dive into how AI will reshape the wa…
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Andy Davis speaks with McKinley Hayden, Director of Data Value & Strategy at the Financial Times, about making AI readiness real in a newsroom where trust matters; they unpack the FT’s AI policy and organisation-wide fluency programme, a cross-functional transformation model and impact framework, and practical wins such as AskFT (built with Anthrop…
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In this episode, Andy Davis talks with Chris Bick, Head of Data Product at Equiniti, about what it really takes to get an organisation ready for AI. They discuss why AI success starts with trusted, well-structured data, the cultural shift from tech-led to demand-led adoption, and how to balance governance with enablement. Chris shares practical use…
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In this episode, Andy Davis is joined by Elettra Damaggio, Director of Internal Data Science at Visa, to discuss what AI readiness really looks like from the inside. Elettra shares sharp insights on the pressures data teams face, the operational realities of deploying LLMs, and why clean data is still the unsolved challenge behind the AI hype. They…
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What if building a custom AI model for your business was as simple as giving feedback—no massive labeled datasets required? In this episode, we sit down with Travis Addair, CTO and Co-Founder of Predibase, creators of the first reinforcement fine-tuning platform, to explore the future of specialized AI. Discover how reinforcement fine-tuning is rev…
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In Episode 13 of our AI Readiness series, Andy Davis is joined by Alex Blyth, Head of Data at NEST (National Employment Savings Trust), for a candid conversation on what it really takes to prepare an organisation for AI. They discuss why cultural readiness matters more than technical capability, how tools like CoPilot are helping drive practical ad…
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In this episode, we speak with Dizem Ozalp Sari Director & Head of Data Services Domain at bnp Paribas bout the real work behind AI readiness in the financial services sector. With years of experience driving data strategy across global institutions, Dizam shares candid insights on: Why mindset and culture matter more than tech The growing disconne…
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In this episode, Andy Davis is joined by Andy McMahon, Principal Engineer for AI & MLOps at Barclays, to unpack what AI transformation really takes inside large organisations. They dig into the realities behind the GenAI hype, including the tough conversations around data readiness, process redesign, and the cultural ingredients needed to deliver v…
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In this episode, we’re joined by Jane Smith, Field Chief Data and AI Officer at ThoughtSpot, to explore what “AI readiness” really means in practice. Jane shares her perspective on how organisations can move beyond the buzzwords and actually embed AI into how they work, starting with stronger data culture, leadership buy-in, and better alignment be…
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In Episode 09 of the AI Readiness series, Andy Davis is joined by Brian Harkin, Ian Balfour-Church, and George Roffey from Centrus – a financial advisory firm with a strong focus on infrastructure, housing, and sustainability. Together, they explore: Why AI isn’t a silver bullet — and how Centrus is using it as a force multiplier How to strike the …
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Join Máté Gulyás (Databricks MVP, CEO of Datapao) and Joe Ingleby as we explore how Unity Catalog, Lakebase, and GenAI are revolutionising data engineering and business operations in this episode of Databricks Diaries! This is a must-listen for modern enterprises looking to empower their teams with seamless data governance, enhanced collaboration, …
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In this episode of AI Readiness, Andy Davis speaks with Laura Alexander, Head of Data Services at Hodge, about what it really takes to get an organisation ready for AI. From data governance and culture to regulation and imposter syndrome, they explore why readiness is more human than technical. Laura shares insights on how Hodge is approaching its …
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In this episode of AI Readiness, Andy Davis is joined by James Garner, Head of AI & Data at Gleeds, to explore why so many AI rollouts underdeliver—and what to do about it. James pulls no punches as he shares real-world lessons from organisations misfiring with tools like Microsoft Copilot. From wasted licences to cultural resistance, he explains w…
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In this episode, Andy Davis chats with Ako Sabir, a seasoned data and transformation leader in the insurance sector, about what really holds organisations back from embedding AI at scale. Ako unpacks why technical challenges are rarely the true blockers, and why structural complexity, poor early decisions, and cultural resistance often derail even …
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Join Thor, Director of Field Engineering at Databricks, and Dan from Primus as they dive into the exciting future of artificial intelligence. In this episode, we unpack what it takes for organisations to get AI-ready, from mastering data governance to promoting ethical AI. With real-world examples, Thor explains how AI can transform businesses, emp…
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In this episode, Andy Davis speaks with Iñigo Antolín, Head of Data Management and Governance at the British Council, about the deep-rooted organisational barriers to AI adoption. From the risks of “shiny tool syndrome” to the vital role of incentives, Iñigo shares why successful AI initiatives depend far more on cultural readiness than technical c…
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In this episode, Andy Davis is joined by Shani Reynolds, Head of Data Governance at First Sentier Investors, to explore the real-world journey of AI adoption in financial services. They dive into the cultural and behavioural shifts needed to make AI stick, from experimenting with chatbots to building trust through transparent prompt engineering and…
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In this episode, Andy Davis sits down with Daniel Tibble, Data Product Director at Mobilize (Renault), to unpack what it really means for organisations to be "AI ready." From building a data-driven culture to leveraging GenAI for operational efficiency and natural language querying, Daniel shares grounded insights and real-world examples from his t…
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Join James Hickey, Head of Data Science and AI at esure Group, as he explores AI readiness and the challenges of deploying AI into production. From data governance and risk management to model updates and fairness in AI, James shares insights into creating responsible, user-focused AI. Learn how cross-functional collaboration and tools like Databri…
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In this episode, Pallavi Koppol, Research Scientist at Databricks, explores the importance of domain-specific intelligence in large language models (LLMs). She discusses how enterprises need models tailored to their unique jargon, data, and tasks rather than relying solely on general benchmarks. Highlights include: - Why benchmarking LLMs for domai…
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In this episode, Kilian Lieret, Research Software Engineer, and Carlos Jimenez, Computer Science PhD Candidate at Princeton University, discuss SWE-bench and SWE-agent, two groundbreaking tools for evaluating and enhancing AI in software engineering. Highlights include: - SWE-bench: A benchmark for assessing AI models on real-world coding tasks. - …
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In this episode, Dipendra Kumar, Staff Research Scientist, and Alnur Ali, Staff Software Engineer at Databricks, discuss the challenges of applying AI in enterprise environments and the tools being developed to bridge the gap between research and real-world deployment. Highlights include: - The challenges of real-world AI—messy data, security, and …
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In this episode, Chang She, CEO and Co-founder of LanceDB, discusses the challenges of handling multimodal data and how LanceDB provides a cutting-edge solution. He shares his journey from contributing to Pandas to building a database optimized for images, video, vectors, and subtitles. Highlights include: - The limitations of traditional storage s…
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In this episode, Michele Catasta, President of Replit, explores how AI-driven agents are transforming software development by making coding more accessible and automating application creation. Highlights include: - The difference between AI agents and copilots in software development. - How AI is democratizing coding, enabling non-programmers to bu…
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In this episode, Brandon Cui, Research Scientist at MosaicML and Databricks, dives into cutting-edge advancements in AI model optimization, focusing on Reward Models and Reinforcement Learning from Human Feedback (RLHF). Highlights include: - How synthetic data and RLHF enable fine-tuning models to generate preferred outcomes. - Techniques like Pol…
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Nik Walker, a creative and resilient leader of people in the data space, shares his knowledge on how he creates high-performing, psychologically safe teams working with Agile Methodologies by taking a human-centric approach to leadership. If you are recruiting your team of data professionals, tune in for advice on how to approach this! Want to take…
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In this episode, Andrew Drozdov, Research Scientist at Databricks, explores how Retrieval Augmented Generation (RAG) enhances AI models by integrating retrieval capabilities for improved response accuracy and relevance. Highlights include: - Addressing LLM limitations by injecting relevant external information. - Optimizing document chunking, embed…
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In this episode, Yev Meyer, Chief Scientist at Gretel AI, explores how synthetic data transforms AI and ML by improving data access, quality, privacy, and model training. Highlights include: - Leveraging synthetic data to overcome AI data limitations. - Enhancing model training while mitigating ethical and privacy risks. - Exploring the intersectio…
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In this episode, Julia Neagu, CEO & co-founder of Quotient AI, explores the challenges of deploying Generative AI and LLMs, focusing on model evaluation, human-in-the-loop systems, and iterative development. Highlights include: - Merging reinforcement learning and unsupervised learning for real-time AI optimization. - Reducing bias in machine learn…
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In this episode, Sharon Zhou, Co-Founder and CEO of Lamini AI, shares her expertise in the world of AI, focusing on fine-tuning models for improved performance and reliability. Highlights include: - The integration of determinism and probabilism for handling unstructured data and user queries effectively. - Proprietary techniques like memory tuning…
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Artificial Intelligence or AI has reached dizzying heights recently. The rise of the General Pre-trained Transformer, or GPT, has taken the world by storm. In this episode of the Databricks Diaries, we’re joined by Strategic Data and AI Advisor at Databricks, Franco Patano, for an eye-opening conversation on the latest in AI. Tune in to discover hi…
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In this episode, Shashank Rajput, Research Scientist at Mosaic and Databricks, explores innovative approaches in large language models (LLMs), with a focus on Retrieval Augmented Generation (RAG) and its impact on improving efficiency and reducing operational costs. Highlights include: - How RAG enhances LLM accuracy by incorporating relevant exter…
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Whether you're an entry-level data engineer, analyst, or BI developer, mastering Databricks could significantly boost your career. Tune in to the second episode of the Databricks diaries, with special guest, Holly Smith - Staff Developer Advocate at Databricks! Learn why she bet her career on Databricks and how you can get started. Want to take par…
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Hosted by Daniel Thornton, this episode features industry professionals Michael Amadi and Giles Middleton as they delve into the world of data platforms. Join us as we compare Databricks and Microsoft Fabric, sharing their insights and preferences. Discover which platform is the best fit for different data needs and learn about the key factors to c…
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In this episode, Jure Leskovec, Co-founder of Kumo AI and Professor of Computer Science at Stanford University, discusses Relational Deep Learning (RDL) and its role in automating feature engineering. Highlights include: - How RDL enhances predictive modeling. - Applications in fraud detection and recommendation systems. - The use of graph neural n…
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Welcome to The Databricks Diaries. Have you ever wondered how top companies are harnessing the power of data to drive innovation and stay ahead of the competition? In this podcast, we’ll be speaking to some of the best industry minds and unlocking the secrets to leveraging data like never before. In each episode of the Databricks diaries, we’re ope…
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Our fifth season dives into large language models (LLMs), from understanding the internals to the risks of using them and everything in between. While we're at it, we'll be enjoying our morning brew. In this session, we interviewed Chengyin Eng (Senior Data Scientist, Databricks), Sam Raymond (Senior Data Scientist, Databricks), and Joseph Bradley …
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We will dive into LLMs for our fifth season, from understanding the internals to the risks of using them and everything in between. While we’re at it, we’ll be enjoying our morning brew. In this session, we interviewed Omar Khattab - Computer Science Ph.D. Student at Stanford, creator of DSP (Demonstrate–Search–Predict Framework), to discuss DSP, c…
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We will dive into LLMs for our fifth season, from understanding the internals to the risks of using them and everything in between. While we’re at it, we’ll be enjoying our morning brew. In this session, we interviewed Yaron Singer, CEO of Robust Intelligence, Professor of Computer Science at Harvard University, and guest of Data Brew Season 3 (our…
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We are back and we will dive into LLMs from understanding the internals to the risks of using them and everything in between. While we’re at it, we’ll be enjoying our morning brew. In this session, we interviewed David Talby who is the CTO at John Snow Labs; they help healthcare & life science companies put AI to good use. David's interests include…
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For our fourth season, we focus on connected health and how data & AI augment and improve our daily health. While we’re at it, we’ll be enjoying our morning brew. Shayna Powless and Eli Ankou, professional cyclist for L39ion of Los Angeles and defensive tackle for the Buffalo Bills, respectively, provide valuable insight on how professional athlete…
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For our fourth season, we focus on connected health and how data & AI augment and improve our daily health. While we’re at it, we’ll be enjoying our morning brew. Matt Willis, Marin County Public Health Officer, shares the three pillars of public health: education, access, and policy, and the critical role data plays in addressing the COVID-19 pand…
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For our fourth season, we focus on connected health and how data & AI augment and improve our daily health. While we’re at it, we’ll be enjoying our morning brew. Running the length of the US every year, Alexandra Matthiesen shares her motivational secrets for running 1,283 consecutive days (and counting!) and redefining physical and mental limits.…
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For our fourth season, we focus on connected health and how data & AI augment and improve our daily health. While we’re at it, we’ll be enjoying our morning brew. Winner of the infamous Last Man Standing race (running 246 miles in 59 hours), Guillaume merges the world of competitive long-distance running with data science to push the boundaries of …
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For our fourth season, we focus on connected health and how data & AI augment and improve our daily health. While we’re at it, we’ll be enjoying our morning brew. Alexander Powell chronicles the evolution of sports analytics and how professional sports teams use data as a competitive advantage. See more at databricks.com/data-brew…
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For our fourth season, we focus on connected health and how data & AI augment and improve our daily health. While we’re at it, we’ll be enjoying our morning brew. Globally, 38,000 people get hurt on the job every hour. In the United States alone, over $250 billion dollars is spent on workplace injury annually. Sean Petterson, founder and CEO of Str…
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For our third season, we focus on how leaders use data for change. Whether it’s building data teams or using data as a constructive catalyst, we interview subject matter experts from industry to dive deeper into these topics. For our season 3 finale, Nithya Ruff discusses the open-source ecosystem, ways to contribute to open-source projects (hint: …
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