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Within the data center space, this brings up a host of questions, particularly as cloud computing becomes ... countries must develop data management strategies that work in the here and now.
Here are 15 data management and data analytics technology companies, part of the 2025 CRN AI 100, that are playing an ...
Make sure your organization’s data is in the right location for its purpose, whether it’s in the cloud or not.
Tessell, a startup developing a multi-cloud database-as-a-service, has raised $60 million in a new funding round led by ...
A New Era in Cloud Efficiency, Ramamohan Kummara explores the transformative role of artificial intelligence (AI) in optimizing cloud infrastructure. His work highlights how AI-driven solutions are ...
BDC data management functions should help customers improve data accessibility and governance, especially thanks to SAP's new ...
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Week99er on MSNAdvancing Analytics Through Centralized Cloud Data Solutions and Legacy TransformationIn this data-driven world, advancing analytics through centralized cloud data solutions and legacy system transformations has ...
I'm a cloud and data expert - these are the best cloud storage services that I have reviewed and ranked Cloud storage services offer a way for your to store your files and data in a secure cloud ...
Informatica, an AI-powered enterprise cloud data management leader, is offering data management innovations designed to simplify and enhance enterprise-wide access to AI-ready data. These advancements ...
April 09, 2025--(BUSINESS WIRE)--Informatica (NYSE: INFA), a leader in enterprise AI-powered cloud data management, today announced the expansion of its Intelligent Data Management Cloud (IDMC ...
REDWOOD CITY, Calif. - Informatica (NYSE: INFA), known for its enterprise AI-powered cloud data management solutions and maintaining impressive gross profit margins of 80.35%, has expanded its ...
These advancements, powered by Informatica’s CLAIRE® AI engine and available in its Intelligent Data Management Cloud™ (IDMC), help ensure that data is relevant, responsible and robust ...
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