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Story

Dataiku@Snyk

Snyk Standardizes Feature Pipelines on Dataiku

Snyk, an information technology organization in the United States, uses LLM Mesh from Dataiku to support applied machine learning for data scientists and ML engineers.

Value results

CategoryValue result
ProductivityFewer stalled items because feature pipelines has a clear owner
Risk and complianceLLM Mesh 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

Information Technology work at Snyk spans more than one site, even when headquarters sits in the United States. Feature pipelines was splitting across regional habits. Data scientists and ML engineers asked for a shared way to run applied machine learning without freezing local judgment.

Dataiku (LLM Mesh) is what they standardized on. Dataiku is a universal AI platform that lets data teams and analysts collaborate on pipelines, models, and governed AI applications. Snyk uses it as the system of record for feature pipelines, with data scientists and ML engineers as the primary operators and other groups coming in through the same queue.

Leaders get a picture they can actually walk. Teams get fewer mystery statuses. The story is about operating change, not an unpublished percentage.

Relationship map

Snyk uses Dataiku, Snowflake, Coupa, CyberArk, Grafana Labs, PagerDuty, SAP, Freshworks, OpenText, Ansys, Synopsys. Shared with Agilent Technologies, American Express Global Business Travel, Anglo American, Asahi Kasei, ASE Technology. 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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