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By creating the data processing layer for next-gen AI: a platform that bridges human and artificial intelligence to solve one of AI’s biggest challenges - establishing ground truth. ...
DataPelago Inc. today unveiled what it calls a “universal data processing engine” that powers high-speed computing at massive scale by making better use of an organization's underlying infrastruct ...
Dbt Labs originally got into this universal semantic layer space because the company saw it as “a cross-platform source of truth,” said Handy, who is a 2022 Datanami Person to Watch. “It should be ...
RisingWave Labs, a company developing a platform for data stream processing, ... The architecture separates the compute layer from storage, Wu claims, maximizing the efficiency of cloud resources.
The semantic layer requires deep integration with its data fabric neighbors — most importantly, the query and processing services in the data platform and analysis and output tools. Data ...
Benefits of a semantic layer. By decoupling the data consumption layer from its underlying storage and processing complexities, a USL allows organisations to embrace new hybrid and multi-cloud ...
We can use the OTLP data model for input and output, allowing us to chain OTel collectors in layers. By chaining the OTel collector, we can create a layer of OTel collectors for processing data.
DIN, the First Modular AI-Native Data Pre-Processing Layer, has successfully closed a $4 million pre-listing round, bringing its total funding to $8 million.Building on this momentum, DIN ...
We speak to Cern principal scientist Archana Sharma about pattern recognition, machine learning and quantum technology.
At the foundation is the data processing layer that deals with the raw data Aryaka collects, which includes network telemetry, logs and traffic patterns. At this layer, ...
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