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Home » How Teradata and AWS Enable Customers to Optimize Data as a Product
Data Modernization

How Teradata and AWS Enable Customers to Optimize Data as a Product

Bob EvansBy Bob EvansMay 15, 20231 Min Read
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In this moment, excerpted from the Data at Scale digital event, which took place on May 11, Hillary Ashton, CPO, Teradata, discusses Teradata’s VantageCloud Lake on AWS and how the company is leading the way achieve outcomes more efficiently.

Highlights

00:08 — Companies must think about data as a product and “refining that oil” into a data product that can provide much faster access to outcomes.

00:28 — With Teradata’s VantageCloud Lake on AWS, the company can recognize a new modern way of accessing data faster and more seamlessly. This will further drive artificial intelligence (AI) and machine learning (ML) outcomes.

Insights into the Why and How of Data and Business Modernization featured image
Guidebook: The Why and How of Data and Business Modernization

00:39 — Teradata and AWS are leading the way for companies to consolidate data silos as well as refine pipelines and workloads with a cloud-based lake-centric approach, minimizing complexity.

00:57 — “We have a really strong financial governance managing the cost in the cloud…and really accelerating that time to value with that data as a new oil, as the new outcome,” Ashton explains.

01:12 — By creating a solid foundation, Teradata enables its customers to innovate with AI and AL at a massive scale.


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Bob Evans

Founder, Cloud Wars
Co-Founder, Acceleration Economy

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Founder of Cloud Wars and Co-Founder of the Acceleration Economy, Bob leads the strategic direction of the global analyst network and actively covers the Cloud and Digital Business categories. Creator of Cloud Wars Top 10, a ranking and ongoing analysis world's most influential tech companies driving digital business and the digital economy. World-class strategic communicator focused on emerging business strategy, disruptive innovation, and forward-looking leadership.

  Contact Bob Evans ...

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