Data.world

You have to have a lot of data to get AI to work. But the data folks are not jumping on it as fast as they should.&nbsp; So what happens when data teams aren’t up to speed, companies are hiring more data scientists than they are engineers, AND current data teams are focusing too much on biz reporting and not supporting AI? This week on Catalog &amp; Cocktails, join hosts Tim Gasper and Juan Sequeda as they chat with special guest, Theresa Kushner, Head of North America Innovation Center at NTT Data Services to discuss how the AI train is leaving the station and data teams can only run so fast.&nbsp; Key Takeaways<ul><li>[00:10&nbsp;-&nbsp;02:25] Introduction &amp; Cheers</li><li>[02:28&nbsp;-&nbsp;04:12] What's your favorite way to travel and why?</li><li>[04:15&nbsp;-&nbsp;07:01] Are data teams keeping up with AI teams?</li><li>[07:01&nbsp;-&nbsp;08:50] Are data teams and AI teams helping each other or avoiding each other?</li><li>[08:54&nbsp;-&nbsp;13:09] AI teams become a data set in themselves</li><li>[13:10&nbsp;-&nbsp;14:45] Data ownership and control</li><li>[14:51&nbsp;-&nbsp;17:20] Thoughts on purchasing data</li><li>[17:20&nbsp;-&nbsp;20:53] Data products and observations</li><li>[20:53&nbsp;-&nbsp;24:52] CDO versus the CDAO, definitions and comparisons</li><li>[24:53&nbsp;-&nbsp;27:05] Should there be a CDO or a CDAO?</li><li>[27:03&nbsp;-&nbsp;30:04] Data makes AI work</li><li>[30:02&nbsp;-&nbsp;34:58] If you want results you have to collaborate</li><li>[34:59&nbsp;-&nbsp;37:29] Creating culture tied to data quality</li><li>[37:27&nbsp;-&nbsp;42:01] The skill sets for managing data products</li><li>[42:02&nbsp;-&nbsp;46:09] Theresa's message of advice to data teams</li><li>[46:12&nbsp;-&nbsp;52:36] Lightning Round</li><li>[52:36&nbsp;-&nbsp;58:16] Takeaways</li><li>[58:17&nbsp;-&nbsp;01:00:31] Three questions</li></ul>

We are at an inflection point in business today because of new processes, algorithms and paradigms. DATA sits at the heart of this tidal wave of new ways to work. Your every move -- both physical and electronic -- is recorded and used to guide your purchases, what you click on, even how you vote. Technologies like artificial intelligence (AI), machine learning (ML) and robotic process automation (RPA) are being deployed across industries with the intent to help manage the overpowering amount of data that we are hoarding in our many data warehouses or in the countless databases on each personal computer. The data is being used intentionally and unintentionally to manage and often disrupt our lives. Our privacy is at risk as is our very culture by the algorithms that we create, train and deploy. My goal is to participate fully and ethically in this wave, to not be swept away by the latest "new" technology, and to help companies manage the change that is required as they learn to adopt and become adept at using data for making business decisions and for creating value.

Theresa Kushner

Head of North America Innovation Center at NTT DATA Services

You have to have a lot of data to get AI to work. But the data folks are not jumping on it as fast as they should. 

So what happens when data teams aren’t up to speed, companies are hiring more data scientists than they are engineers, AND current data teams are focusing too much on biz reporting and not supporting AI?

This week on Catalog & Cocktails, join hosts Tim Gasper and Juan Sequeda as they chat with special guest, Theresa Kushner, Head of North America Innovation Center at NTT Data Services to discuss how the AI train is leaving the station and data teams can only run so fast. 


Are data teams keeping up with AI teams? w/ Theresa Kushner

This week on Catalog & Cocktails, join hosts Tim Gasper and Juan Sequeda as they chat with special guest, Theresa Kushner, Head of North America Innovation Center at NTT Data Services to discuss how the AI train is leaving the station and data teams can only run so fast. 


data.world

Catalog and Cocktails is an honest, no-BS, non-sales-y conversation about data and analytics. This is your unfiltered chat about everything interesting in data and metadata management, DataOps, architecture, and beyond. Join Juan Sequeda and Tim Gasper to explore emerging topics and hear from visionary leaders across the data space.