Komprise Streamlines Data for AI
Unstructured data management firm Komprise has added an intelligent “data ingestion engine” to its Smart Data Workflow solution, in a move that should eliminate waste in RAG and LLM pipelines.
Komprise’s Smart Data Workflow is part of its Intelligent Data Management platform, which furnishes a Global File Index to manage unstructured file and object data regardless of its storage location.
To clarify: Unlike a global file system, Komprise's Intelligent Data Management platform doesn’t front all data sources with a unique point of access. Instead, the platform creates an index based on interacting with protocols such as NFS, SMB, and S3, so that data can be analyzed where it resides, whether on premises or in the cloud. Smart Data Workflow adds a point-and-click wizard to search all data and execute functions on data subsets while tagging data with additional metadata.
Now, at no extra charge, Komprise is offering Smart Data Workflow customers something new: an automated, dedicated tool specifically for AI ingestion. According to co-founder, president, and COO Krishna Subramanian, it was formerly possible to use Smart Data Workflow to ingest data into an AI bucket or pipeline, but it wasn’t simple. Customers had to use Komprise’s APIs or deploy data management policies to create an off-site copy of selected data. “Now, there is a wizard in Smart Data Workflows called AI Ingest that steps you through the entire workflow in one place,” she told Futuriom.
To access the rest of this article, you need a Futuriom CLOUD TRACKER PRO subscription — see below.
Access CLOUD TRACKER PRO
|
CLOUD TRACKER PRO Subscribers — Sign In |
