As enterprises modernize, the question is no longer whether to use SAP or non-SAP tools, but how to make them work together ...
In an era where financial institutions face mounting pressure to deliver sophisticated analytics platforms while managing massive datasets, the remarkable success of the Enterprise Data Intelligence ...
The hottest big data tools in 2025 include Amazon Aurora DSQL, Snowflake Intelligence, and the Databricks Lakebase.
BofA Securities served as financial advisor to Nasuni on the deal Based in Austin, Vista invests in software, data and technology-enabled companies Vista has more than $100 billion in assets under ...
PALO ALTO, Calif.--(BUSINESS WIRE)--Uniphore, the global leader in Enterprise AI, today announced it is acquiring two industry-leading data powerhouses, ActionIQ and Infoworks, which significantly ...
IBM's $11B Confluent acquisition completes its hybrid cloud stack, with Kafka streaming joining Red Hat and HashiCorp for enterprise AI infrastructure.
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Revefi, a Seattle-based AI startup aiming to be a “copilot” for ...
Snowflake SNOW and Microsoft MSFT are major players in the expanding cloud data platform market. Snowflake provides a scalable data warehouse with integrated AI and machine learning. Microsoft ...
CHICAGO--(BUSINESS WIRE)--Snowflake (NYSE: SNOW), the AI Data Cloud company, today announced at Microsoft Ignite an expanded partnership with Microsoft to establish a new Snowflake Power Platform ...
This high-level definition of a data platform is meant to help frame conversations about the category and compare vendors and their place in it. The definition itself is a moving target since the ...
ZoomInfo reports that 95% of enterprise AI projects fail to deliver ROI due to inadequate data infrastructure. Successful ...
Customer data platforms (CDPs) first gained popularity among marketing users as the technology tackled the marketing function’s complex customer data management challenges. These challenges included ...
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