23 mins | August 12, 2019

Digital Workshop, Data Science, and Culture Transformation

Transforming Your Culture With Data

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Summary

Hello and welcome to Episode 2 of the first season of the "Your DataOps Advantage" podcast series by Hitachi Vantara! In this episode podcast host Bill Schmarzo (our CTO of IoT and Analytics) talks with Mike Foley (our Marketing Science Lead) and Joshua Siegel (our Global Co-Creation Lead, IoT and Analytics) as they share details around the Digital Value Enablement process, the upcoming Digital Envisioning Workshop, data culture transformation and how Hitachi Vantara is scaling data science across the organization. Tune in and catch a glimpse of how you can merge the art of the possible with the art of the practical.

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Host

Bill Schmarzo

CTO, IoT and Analytics, Hitachi Vantara

Bill Schmarzo is regarded as one of the top Digital Transformation influencers on Big Data and Data Science. His career spans over 30 years in data warehousing, BI and advanced analytics. As the current CTO, Analytics and IoT for Hitachi Vantara, "The Dean of Big Data" guides the company's technology strategy and drives "co-creation" efforts with select customers to leverage IoT and analytics to power digital transformation.

Mike Foley

Head of marketing data sciences, Hitachi Vantara

Responsible for data science and machine learning marketing across Hitachi Vantara, Mike drives product innovation, customer success and marketing optimization.

Josh Siegel

Global co-creation lead

IoT and analytics, Hitachi Vantara

Transcript

Hello, welcome to the Hitachi Vantara DataOps advantage podcast. My name is Bill Schmarzo and I'm the chief technology officer of IOT and analytics here at Hitachi Vantara. The DataOps advantage podcasts is going to track the trials and tribulations of different organizations of different sizes across different industries as they wrestle with how do you get value from your data? What we're gonna do is we're gonna talk to these organizations about how they're leveraging DataOps to uncover value in their data and help them to figure out how to drive return on their data investments.
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