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Artificial intelligence is rapidly transforming how organizations operate, and one of the most impactful advances is the emergence of data agents. A specialized category of AI agents, data agents ...

Data, analytics, and AI are fundamental to modern business. Data, analytics, and AI governance are the practices of ensuring that these business assets remain relevant, actionable, compliant, ethical, ...

ETL is the process of moving data from multiple sources, cleaning and standardizing it, then loading it into a destination system for analysis—forming the backbone of most business intelligence and ...

Global CEOs are making generative AI a top investment priority, and enterprise technology leaders are feeling the pressure to implement a unified data strategy and better data management to support ...

Public cloud promised limitless scalability and agility—but new research shows that 67% of enterprises have already moved workloads back, and 87% plan to in the next two years. This guide from ...

Many organizations are still struggling to turn chaotic data into real business outcomes. If that sounds familiar, you might not be thinking of your data as a product. Treating data as a product, with ...

Integrating enterprise data and AI platforms enables organizations to build and deploy more innovative and intelligent applications more rapidly. It lets them build more sophisticated AI applications, ...

It is challenging—yet exciting—to compete, collaborate, innovate, and drive efficient business and IT operations in today’s roller-coaster world of continuous changes. Organizations of all sizes need ...

Modern organizations are struggling with data silos that limit collaboration, slow innovation, and create redundant work across teams. These challenges demand a revolutionary approach to data ...

Data is valuable—bad data is expensive. As organizations rely more on data to fuel decisions and power large language models, the cost of poor data quality has soared. Missing, inaccurate, or ...