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Teradata@Renesas

Teradata at Renesas: Feature Pipelines

Renesas, an information technology organization in Japan, uses Teradata AI Unlimited from Teradata to support applied machine learning for data scientists and ML engineers.

Value results

CategoryValue result
ProductivityHandoffs in applied machine learning sit in a shared queue instead of a mailbox trail
Risk and complianceTeradata AI Unlimited is the governed place data scientists and ML engineers use for applied machine learning
CapabilityNew joiners can see how applied machine learning actually runs

Story

Renesas grew feature pipelines faster than the local tools around it. From Japan, information technology teams still had to serve customers and internal partners who expected a straight answer. Data scientists and ML engineers were the ones stitching the picture together by hand.

Rolling out Teradata AI Unlimited put applied machine learning on Teradata. Teradata provides a connected multi-cloud data platform for large-scale analytics and mixed workload warehousing. Renesas keeps the product in the path where work already happens, so data scientists and ML engineers do not context-switch into a graveyard system used only for audits.

The visible result is steadier applied machine learning. Feature pipelines is easier to inspect, and adjacent groups can join data scientists and ML engineers without a guided tour of someone's desktop.

Relationship map

Renesas uses Teradata, Grafana Labs, F5, Akamai, Pega, Cartesia. Shared with 6sense, ABB, ACS Group, Activision Blizzard, Advantest. Industry: Information Technology. Value: Productivity, Risk and compliance, Capability. Drag nodes, filter types, or expand a node to follow more commonalities.

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