March 10, 2021
On this week’s episode of The Data Stack Show, Eric and Kostas are joined by Stefanía Bjarney Ólafsdóttir, the CEO and co-founder of Avo. Avo, started in 2018, provides data analytics governance as a service, helping organizations make data-driven decisions to improve their customer experience.
March 3, 2021
On this week’s episode of The Data Stack Show, Eric and Kostas are joined by Mike Luby, director of engineering at LeafLink. LeafLink is a cannabis industries B2B wholesale marketplace where thousands of brands can manage and track their orders and relationships.
February 24, 2021
On this week’s episode of The Data Stack Show, Eric and Kostas are joined by Daniel Gremymell, head of data at Policygenius Inc. Policygenius, an insurance marketplace, strives to make it easy for people to understand their options, compare quotes, and buy a policy all in one place with help from licensed experts.
February 17, 2021
On this week’s episode of The Data Stack Show, Kostas is joined by Willem Pienaar, tech lead at Tecton to discuss machine learning, features and feature stores.
February 10, 2021
On this week’s episode of The Data Stack Show, Eric is joined by Duc Haba, an AI researcher and enterprise mobility solution architect consultant who most recently did AI consulting work with Cognizant. Their discussion revolves around demystifying artificial intelligence and why so many people either fear AI or place too much trust in it. Duc talks about some of the AI projects he has worked on, some successes and some failures, and points to how the data biases that humans bring into the models can radically alter the outcome of those endeavors.
February 3, 2021
On this week’s episode of The Data Stack Show, Kostas and Eric are joined by the risk data engineering manager at Intuit, Alex Lancaster. Alex has been with Intuit, known for its products like QuickBooks, TurboTax, Mint and more, for 15 years and was part of a recent massive and successful re-architecturing from on prem to cloud-based.
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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