This week on The Data Stack Show, Eric and Kostas chat with Lars Kamp, the Co-founder & CEO at Some Engineering. During the episode, the group talks about the struggles of resource management in organizations today. Topics also include discussion on the trend of large resources to micro resources, managing costs through scale and experimentation, complexities of data infrastructure, how data teams can plan for costs in the future, and more.

This week on The Data Stack Show, Eric and Kostas chat with Soumyadeb Mitra, the Founder & CEO of Rudderstack. During the episode, the group defines customer data, why data collection is such a complexity, bridging the gap of data collection and useful analytics, building a 360-degree customer profile, how Rudderstack translates data in its new profile feature, how future technologies will impact the data space, and more.

This week on The Data Stack Show, Eric and Kostas chat with Omar Maher, the Director of Product Marketing at Parallel Domain. During the episode, the group discusses synthetic data in the context of computer vision and autonomous vehicle development. Omar shares his background in data and machine learning and explains how synthetic data can be used to generate labeled data that is fresh, clean, and useful for training and testing machine learning models. The conversation also includes the challenges of obtaining high-quality labeled data for computer vision projects, the importance of addressing edge cases, ethical implications of using synthetic data to train AI models, and more.

This week on The Data Stack Show, Eric and Kostas chat with Simba Khadder, the CEO of Featureform. During the episode, the group discusses feature stores, embeddings, and the impact of new technologies on the data industry. Other topics include the importance of embeddings and vector databases in the data industry, the future of machine learning and its impact on businesses, new technologies in data science and ML ops, and more.

This week on The Data Stack Show, Eric and Kostas chat with Rob Woollen & Stipo Josipovic from Sigma. Rob serves as the Co-Founder and CTO at Sigma while Stipo is the Director of Product Management. During the episode, Rob & Stipo discuss the origin story of Sigma in using spreadsheets and SQL to drive interface change. Topics also include the evolution of BI in recent years, how tools can overcome collaboration challenges in working with data, why analytics and BI are not solved problems, and more.

This week on The Data Stack Show, Eric and Kostas chat with Scott Brinker, VP Platform Ecosystem at Hubspot. During the episode, Scott discusses the evolution of martech over the last ten years and how the explosion of digital data has impacted the market. Topics also include needed tools in a martech stack, where things have gone wrong in IT teams and marketing teams working together, exciting developments in the martech space, and more.

This week on The Data Stack Show, Eric and Kostas chat with Ioannis Foukarakis, Senior Data Engineer at Mattermost and recent winner of Rudderstack’s transformations challenge. During the episode, Ioannis discusses data engineering, ML, and the influence of software engineering on data. Topics also include stories from Ioannis and Kostas’ college days, how data and engineering have changed over the years, future developments and exciting opportunities in the space, and more.

This week on The Data Stack Show, Eric and Kostas chat with Davor Bonaci, the Executive VP at DataStax. During the episode, Davor discusses his journey in working stream processing at Goggle and his journey in founding Kaskada. The conversation also includes discussion on recommendation engines, how to improve stream and batch processing, what Kaskada is doing to solve key pain points in the space, democratizing and operationalizing ML, and more.

This week on The Data Stack Show, Eric chats with Josh Wills, an experienced data scientist with work at places like IBM, Google, Slack, DuckDB, and others. During this conversation, Josh shares his journey working at these large companies including work in data engineering, data science, and other fields. Eric and Josh also discuss high-quality data and the process to get it, auction code, usage patterns and complexities in search, and more.