July 17, 2023
In this bonus episode, Eric and Kostas preview their upcoming conversation with Lars Kamp of Resoto.
July 17, 2023
In this bonus episode, Eric and Kostas preview their upcoming conversation with Lars Kamp of Resoto.
July 12, 2023
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.
July 10, 2023
In this bonus episode, Eric and Kostas preview their upcoming conversation with Soumyadeb Mitra of Rudderstack.
July 5, 2023
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.
July 3, 2023
In this bonus episode, Eric and Kostas preview their upcoming conversation with Omar Maher of Parallel Domain.
June 28, 2023
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.
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.
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