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A podcast by Striim (pronounced 'Stream') that covers the latest trends and news in data, cloud computing, data streaming, and analytics.
76 Episodes
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In this episode of What’s New in Data, we’re joined by Clare Liguori – Senior Principal Engineer at AWS – to dig into the evolving role of retrieval in modern AI systems. Clare unpacks why retrieval shouldn’t just be thought of as a technique to get documents — it’s a strategic tool that can unlock smarter, more adaptive agents. We also explore how AWS is thinking about orchestration, what actually counts as “reasoning,” and why the real power lies in combining structured memory with real-tim...
Jonathan Shough, CIO of Parexel, joins us to talk about leading data modernization in one of the world’s most regulated industries. He shares how compliance can be reframed as an enabler, not a blocker—and why it’s critical to deliver value to patients, not just platforms. We get into Parexel’s pragmatic approach to AI adoption, the role of human interaction in digital transformation, and what it really means to modernize data infrastructure without breaking what works. If you’re balancing tr...
Joe Reis joins us to reflect on life after Fundamentals of Data Engineering, what makes data content worth consuming, and why good taste matters as much as technical skill. We talk about burnout in big tech, the myth of AI replacing everyone, and how Discord communities, DJ sets, and a sense of humor are helping shape the future of data. This one’s part industry pulse check, part real talk. Follow Joe: LinkedInSubstackDiscordWhat's New In Data is a data thought leadership series hosted by Jo...
Barzan Mozafari, CEO of Keebo and former computer science professor, joins us to explore how AI is changing the way data teams work. We talk about the hidden inefficiencies in cloud data platforms like Snowflake and Databricks, how reinforcement learning can automate performance tuning, and why the tradeoff between cost and speed isn’t always what it seems. Barzan also shares thoughts on LLMs, the future of conversational analytics, and what data teams should (and shouldn’t) try to build them...
What if your data pipeline could run 10x faster without the overhead? Jacopo Tagliabue, CTO of Bauplan and NYU adjunct professor, is pushing the boundaries of data infrastructure with lightweight DAGs, Apache Arrow, and a radically different take on functions as a service. In this episode, he breaks down the tech stack behind Bauplan and why the future of scalable data pipelines is all about speed, modularity, and zero-copy design. Follow Jacopo on: LinkedInBauplanWhat's New In Data is ...
Sol Rashidi has built AI, data, and digital strategies inside some of the world’s biggest companies—and she’s seen the same mistakes play out again and again. In this episode, she unpacks why AI initiatives often stall, how executives misread what “transformation” really requires, and why the future of AI success isn’t technical—it’s cultural. If you think AI is just a tech problem, Sol is here to change your mind. Follow Sol's work: LinkedInYour AI Survival Guide by Sol RashidiWhat's New In ...
Spencer Cook, Lead Solutions Architect at Databricks, joins to unpack how enterprises are moving beyond hype and building practical AI systems using vector search, RAG, and real-time data pipelines. He and John Kutay get into what it really takes to serve production LLMs safely, avoid hallucinations, and tie AI back to business outcomes—without losing sight of governance, latency, or customer experience. Follow Spencer on: LinkedInWhat's New In Data is a data thought leadership series hosted ...
Peter Laflin, Chief Data Officer at Morrisons, shares how his team turned customer confusion into a cutting-edge vector search experience—bridging physical retail with AI-powered search. He and John Kutay dive into the practical challenges of implementing LLMs and real-time data pipelines at scale, the importance of starting with actual customer problems, and why the best engineering feels a little lazy (on purpose). A real-world look at what happens when modern search meets supermarket shelv...
Alok Pareek, Co-founder and EVP of Products at Striim, joins What’s New in Data to dive into the game-changing innovations in Striim’s latest release. We explore how real-time data streaming is transforming analytics, operations, and decision-making across industries. Alok breaks down the challenges of building reliable, low-latency data pipelines and shares how Striim’s newest advancements help businesses process and act on data faster than ever. From cloud adoption to AI-driven insights, we...
In this episode of What’s New in Data, AWS VP and Distinguished Engineer Marc Brooker joins us to break down DSQL, Amazon’s latest innovation in serverless, distributed databases. We discuss how DSQL balances consistency, availability, and scalability—without the headaches of traditional relational databases. Tune in to hear how this new approach simplifies architecture, eliminates operational pain points, and sets a new standard for high-performance cloud databases. Follow Marc on X, Bluesky...
Join us for a deep dive into the world of databases with CMU professor Andy Pavlo. We discuss everything from OLTP vs. OLAP, the challenges of distributed databases, and why cloud-native databases require a fundamentally different approach than legacy systems. We discuss modern Vector Databases, RAG, Embeddings, Text to SQL and industry trends. You can follow Andy's work on: Blue Sky Youtube What's New In Data is a data thought leadership series hosted by John Kutay who leads data a...
Can AI really make your data analysis as easy as talking to a friend? Join us for an enlightening conversation with Ethan Ding, the co-founder and CEO of TextQL, as he shares his journey from Berkeley graduate to pioneering the text-to-SQL technology that's transforming how businesses interact with their data. Discover how natural language queries are breaking down barriers, making data analysis accessible to everyone, regardless of technical skill. Ethan delves into the historical hurdles an...
What makes MotherDuck and DuckDB a game-changer for data analytics? Join us as we sit down with Jacob Matson, a renowned expert in SQL Server, dbt, and Excel, who recently became a developer advocate at MotherDuck. During this episode, Jacob shares his compelling journey to MotherDuck, driven by his frequent use of DuckDB for solving data challenges. We explore the unique attributes of DuckDB, comparing it to SQLite for analytics, and uncover its architectural benefits, such as utilizing mu...
Get ready to revolutionize your approach to customer engagement with the insights from Alex Levin, the visionary CEO behind Regal.io. In our latest episode, we break down the transformative power of treating every customer like royalty, the secret sauce that's reshaping business strategy in a digital-first marketplace. As Alex takes us from his unexpected tech pilgrimage to the founding of Regal.io, you'll discover the game-changing potential of unified customer profiles that tailor experienc...
Ever ask yourself how to choose between Microsoft Fabric and Databricks for your enterprise data workloads on Azure? Join this discussion with cloud pricing and cost optimization expert Everett Berry from Vantage.sh as he illuminates the differences between these two powerful data lake technologies. We delve into the depths of their unique features, pricing models, and deep integration with Azure. Our conversation ventures into the world of AI and its transformative impact on the moder...
We dive into AI principles with Patrick Miller, the head of data and AI at Newfront. Patrick, a seasoned expert in enterprise, AI, and machine learning, casts a unique lens on the role of AI at Newfront where they offer modern insurance, emphasizing the crucial role of "human in the loop" systems. Get ready to explore how data teams can leverage Large Language Models (LLMs) to create tangible value for companies, with insights drawn from Patrick's vast experience in AI roles at Google and oth...
Zack Hendlin is the CEO and founder of Zing Data – a mobile-first business intelligence platform. He has deep experience and expertise in the tech industry on several products including his work as a product lead at Linkedin enhancing the engagement of the feed and speech recognition at Facebook. In this episode we chat with Zack about the value of having insights at your fingertips (literally) and how teams can get value out of taking action on data in real-time. We also discuss the adoption...
Pete Hunt is the CEO of Elementl. Elementl is the company behind Dagster – a popular Data Orchestration framework. Pete Hunt is also very well known for his leadership developing React.js which transformed the way modern front-end applications are built using functional programming and asset aware re-rendering. Pete talks about how Data Orchestration can also be optimized to be aware of the assets it is computing. Why is this important? As data teams scale the delivery of production data prod...
Sean Taylor is an industry veteran and expert in Data Science, AI, and ML. Sean is Chief Scientist at Motif Analytics: a paradigm-shifting toolkit for sequence analytics. His career accolades include leading core data science at Facebook and Lyft. Sean is also known for launching Prophet – a popular open-source forecasting framework leveraged at some of the world's largest companies. We dive into Data Science and tie it back to Data Engineering. How does Data Science differ from Data Engine...
Mark Freeman is a vocal advocate of Data Quality, Data Contracts and aligning the data community around these pillars. Mark Freeman has experience as both a data scientist and data engineer which gives him a unique, astute outlook on data management. This is why he's amassed tens of thousands of followers on social media to date along with the largest slack community on Data Quality that he founded with Chad Sanderson: Data Quality Camp. Our host John Kutay dives into these topics with Mark s...
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