27 λεπ.
Ep. 168 - AI Data Strategies Next in Tech
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- Τεχνολογία
As organizations push to realize the benefits of AI, they are increasingly challenged to deliver the necessary data to fuel their initiatives. While most have data repositories to draw from, the quality and accessibility of that data can be an issue. Shiv Trisal of Databricks and John Schirripa of S&P Global Market Intelligence, join host Eric Hanselman to explore the nature of these challenges and ways to address them. One of the major benefits of AI tooling is the democratization of access to data and it has to be a primary goal, but it’s not always easy to achieve. It means pulling together complex data sets and being able to wrap the necessary controls around them. Governance concerns demand better data quality at the outset, to make the path to implementation simpler.
This week’s guests:
Shiv Trisal, global industry lead for manufacturing and industry at Databricks
John Schirripa, VP, product management, distribution solutions, at S&P Global Market Intelligence
As organizations push to realize the benefits of AI, they are increasingly challenged to deliver the necessary data to fuel their initiatives. While most have data repositories to draw from, the quality and accessibility of that data can be an issue. Shiv Trisal of Databricks and John Schirripa of S&P Global Market Intelligence, join host Eric Hanselman to explore the nature of these challenges and ways to address them. One of the major benefits of AI tooling is the democratization of access to data and it has to be a primary goal, but it’s not always easy to achieve. It means pulling together complex data sets and being able to wrap the necessary controls around them. Governance concerns demand better data quality at the outset, to make the path to implementation simpler.
This week’s guests:
Shiv Trisal, global industry lead for manufacturing and industry at Databricks
John Schirripa, VP, product management, distribution solutions, at S&P Global Market Intelligence
27 λεπ.