Acceldata Brings AI Observability to Its xLake Data Platform
Acceldata, the market leader in agentic data
management, announced AI Observability, a solution that brings observability
for LLM and agentic AI applications to Acceldata’s xLake Data & AI Platform.
AI
reliability now turns on reach. Acceldata governs and traces AI across a hybrid
estate, on-premises and across clouds, without first requiring the data to be
consolidated in one place. That reach does two things at once. It makes agents
safe to put into production, and it lets enterprises build agents against data
they could never centralize. In enterprise AI, governance is treated as the
brake. Here is the engine.
AI
Observability traces every prompt, model call, tool invocation and retrieval
step, continuously evaluating outputs to ensure they are correct, reliable and
aligned with user intent. This adds to the data quality, lineage and pipeline
monitoring the platform already provides.
AI Observability gives teams one view spanning data health and AI behavior, wherever the data lives, rather than a separate tool for each layer. While tracing and evaluating agents is becoming standard, governing them wherever the data lives is not.
“The top blocker to enterprise AI
is fear of ungoverned agents and data. Acceldata removes it with the
introduction of AI Observability to the xLake Data & AI Platform,” said
Rohit Choudhary, Acceldata founder and CEO. “Now you can govern and trace AI
wherever your data lives, on-premises or across clouds, which lets you build
agents against data you could never centralize. Governance becomes the reason
you can do more with your data, not less.”
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