How a data marketplace unlocks the value of trusted data products
This article argues that a successful AI strategy *requires* a robust data strategy, specifically one centered around a data marketplace. While building trusted data products is im…
This article argues that a successful AI strategy *requires* a robust data strategy, specifically one centered around a data marketplace. While building trusted data products is im…
This article argues that a data platform (like a data warehouse or lakehouse) is *not* enough for successful AI implementation. While data platforms store and process data, a separ…
This article argues that treating data as a product – with clear ownership, governance, and measurable ROI – is key to unlocking the true value of data and AI investments. Organiza…
This article argues that agentic AI is poised to revolutionize data management within months, automating tasks like policy enforcement and data provisioning. However, successful im…
Recent drone strikes on AWS data centers highlighted critical vulnerabilities in cloud and AI strategies related to data and identity sovereignty. Organizations must prioritize bui…
Quest Software is a leader in data management, recently ranked top three in all five use cases within Gartner’s 2025 Critical Capabilities for Metadata Management Solutions report.…
This article highlights that identity resilience is now a critical business priority, moving beyond a purely technical issue. Increasingly frequent and impactful breaches, coupled …
This article highlights a shift in data management towards “data products”: packaged, curated, and governed data sets designed for specific business outcomes and AI applications. T…
This article argues that treating reusable data products as merely a “nice-to-have” is a significant economic mistake. Instead, organizations should prioritize reusability as a cor…
Many companies are investing heavily in AI but seeing little to no return, not due to flawed algorithms, but because of poor data foundation – fragmented, untrustworthy, and poorly…
The article stresses that most organizations (89%) are unprepared for AI due to significant data, identity, and platform disorganization – essentially a “junk drawer” of tech asset…