In this moment, excerpted from the Data at Scale digital event, which took place on May 11, Pranay Dave, Director, Product Marketing at Teradata, discusses how the company leverages cloud technology to deliver highly scalable analytics functionality.
Highlights
00:08 — Companies must think about data as a product and “refining that oil” into a data product that can provide much faster outcomes and be truly successful in digital transformation, Dave says. This requires using all their data plus artificial intelligence (AI) and machine learning (ML). In addition, the work done by data scientists needs to be operationalized so it will yield business outcomes.
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00:34 — VantageCloud Lake on AWS enables these outcomes by supporting more than just enterprise workloads by supporting workloads in AI and ML. That’s really helping customers accelerate their digital transformations.
00:59 — VantageCloud Lake features ClearScape Analytics with highly scalable data preparation and data exploration functions so when a user is exploring data, they don’t have to move it around, making data science work much more efficient. Companies don’t just need one or two ML models — they might need millions of models, so it offers the ability to scale at that level without cost overruns because of the cloud’s highly optimized underlying architecture.
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