Microsoft Fabric expands as industry analysts reveal critical criteria enterprises need for evaluating AI-ready data ...

Enterprise data platforms increasingly unite analytics, governance and orchestration, with new generative and agentic AI-enabled features to improve autonomy and speed.

We’re in a hinge moment for AI. The experiments are over and the real work has begun. Centralizing data, once the finish line, is now the starting point. The definition of “AI readiness” is evolving ...

When designing an effective enterprise data strategy, organizations often choose between a top-down and a bottom-up approach. Each method has its unique advantages and is suitable for various ...

Will some data remain at the business unit level and not be part of the enterprise data model? How will the enterprise convert from the current model to the enterprise data model? Previous slide Next ...

Just as the internet required secure protocols, enterprise AI is driving new requirements for purpose-built governance ...

An enterprise data model describes how the business wishes to function. That means policy and procedure will be affected by the data modeling effort (and vice versa). (Define data modeling.) Previous ...

In August 2024, DevRev raised $100.8 million in its Series A led by Khosla Ventures, Mayfield Fund, and Pandey’s own Param Hansa Values — propelling it into unicorn status at a $1.15 billion valuation ...

MORRISTOWN, N.J.-- (BUSINESS WIRE)--Majesco (NYSE American:MJCO), a global provider of core insurance software and consulting services for insurance business transformation, today announced that a new ...

Vishal Marria is the CEO of Quantexa, an anti-fraud firm harnessing AI to crack down on money laundering and improve decision-making. Marria shares how digital resilience and data-driven decision ...