About three years ago, Steven Adler was running the privacy consulting practice at IBM. As he talked with IBM customers, he discovered that many of the large customers had some pretty complex IT ...
Boost your organization's potential with comprehensive data governance, from C-suite support to data quality assurance, retention rules and more. As critical as data is for organizations to flourish ...
Unified metadata models are emerging as a cornerstone in the changing landscape of data management, highlighting the critical need for integrated frameworks that ensure data accessibility, security ...
In 2026, data governance has stopped tiptoeing around the edges of organizational strategy and stepped directly into the ...
If you’re reading this, there’s a very good chance your organization’s approach to data governance is the exact opposite of what it should be for the AI era. If you’ve read my prior articles, you know ...
Anil Lokesh Gadi, a distinguished expert in the fields of advanced data engineering, data analytics, and data warehousing, has recently published a research paper providing valuable insights into ...
Data fabric is a powerful architectural approach for integrating and managing data across diverse sources and platforms. As enterprises navigate increasingly complex data environments, the need for ...
In today’s rapidly evolving digital landscape, the value of data cannot be overstated. Data has become the lifeblood of innovation, driving decisions, shaping industries, and transforming how we live ...
David Littler from enChoice UK discusses the AI governance in the public sector, focusing on bridging the gap between its ...
The arrival of DeepSeek’s R1 large language model (LLM) shocked the global AI ecosystem, causing many in the U.S. and Europe to reevaluate how we approach AI development. While LLMs from large ...
Informatica from Salesforce, a leader in enterprise AI-powered cloud data management, today announced it has been named a ...
Standard Chartered (SC) is navigating the complexities of artificial intelligence (AI) adoption by grounding its strategy in well-governed, outcome-focused data, according to its group chief data ...
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