Organizations are increasingly challenged to not only integrate AI solutions into core business functions but to do so strategically and responsibly.

Google popularized the term "knowledge graph" in this 2012 blog post. Since then, there has been a massive momentum around ...

Over 50% of IT professionals in financial services organizations rated their company’s data infrastructure as outdated or aging, impacting the ability of these companies to adopt and scale AI tools ...

Data silos and poor governance are not new problems, but in the context of real-time business and AI-driven transformation, they’ve become existential ones ...

The report based on responses from more than 750 global senior HR leaders and CHROs, found 74% rated their level of HR ...

The volume of data is growing fast, and a vast majority of it is unstructured. At the same time, experts predict that 80% of ...

As AI adoption accelerates across industries, the competitive edge no longer lies in building better models; it lies in governing data more effectively. Enterprises are realizing that the success of ...

AI governance has relied heavily on the assumption that powerful models are deployed by major technology companies through cloud-based platforms. This centralized structure has enabled control points, ...

Explore how adaptive enterprises leverage AI and real-time data for faster, smarter decision-making in financial services.

A powerful, cloud-native data platform that is transforming how the company operates, measures, and innovates across all ...

Elizabeth Lampert of Elizabeth Lampert PR writes that the use of AI has created an urgent imperative: to use generative AI in ...