Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.
The PRQL: How is Academic Research Shaping the Future of Data Processing Systems? Featuring Tony Wang of Stanford University
In this bonus episode, Eric and Kostas preview their upcoming conversation with Tony Wang of Stanford University.
178: How to Build a Data Stack to Win PLG, Featuring Peter Chapman
This week on The Data Stack Show, Eric and Kostas chat with Peter Chapman, Peter is a consultant who specializes in helping PLG companies drive more revenue with data. With a background in data and revenue operations, Peter shares his experiences in building data stacks at startups like Heroku, emphasizing the early consideration of data architecture to avoid future issues. He highlights the significance of a cohesive data stack for product-led growth companies and the unique challenges faced by open source companies in commercializing their projects. The conversation also explores the operationalization of data, the importance of aligning sales with a company's technical ethos, debating the balance between inference and training costs, the strategic approach to margins by focusing on enterprise features over infrastructure reselling, and more. If you'd like to contact Peter about his advisory services, his email is firstname.lastname@example.org.
The PRQL: Building a Future-Proof Data Stack from Day Zero? Featuring Peter Chapman
In this bonus episode, Eric and Kostas preview their upcoming conversation with Peter Chapman, a GTM consultant.
177: AI-Based Data Cleaning, Data Labelling, and Data Enrichment with LLMs Featuring Rishabh Bhargava of refuel
This week on The Data Stack Show, Eric and Kostas chat with Rishabh Bhargava, Co-Founder and CEO of refuel. During the episode, the group discusses the evolution of AI, machine learning, and large language models (LLMs). Rish shares his background and the inception of refuel, which focuses on making clean and reliable data accessible for businesses through data cleaning, labeling, and enrichment using LLMs. The conversation explores the impact of LLMs on data quality, the challenges of implementing LLM technology, and the user experience of working with LLMs. They also touch upon the importance of confidence scores in machine learning and the iterative process of model training, a practical use case involving refuel and RudderStack, and more.
The PRQL: Exploring the Evolution of AI and ML with Rishabh Bhargava of refuel
In this bonus episode, Eric and Kostas preview their upcoming conversation with Rishabh Bhargava of refuel.
176: The Fundamentals of Event-Driven Orchestration and How Generative AI Is Shaping Its Future with Viren Baraiya of orkes.io
This week on The Data Stack Show, Eric and Kostas chat with Viren Baraiya, the Co-Founder and CTO of orkes.io. During the episode, Viren discusses the evolution of orchestration in the context of AI and large-scale systems. The group discusses the transition from Viren’s work at Netflix to founding orkes.io, the challenges of integrating AI into applications, and the importance of orchestration to manage these complexities. He also highlights the non-deterministic nature of AI, the need for guardrails, and the potential for AI to change technology interaction. The episode also covers the recent move of Netflix's Conductor project to a community foundation, the future of AI in business and its impact on job creation, and more.