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Reading Time: 2 minutesArtificial intelligence (AI) has exited the lab and entered the boardroom, promising unprecedented efficiency and insight. Yet its transformative power is often at odds with the General Data Protection Regulation (GDPR). The core challenge is this: AI’s boundless data hunger…
Reading Time: 5 minutesWhen we talk about data architecture — whether it’s in support of analytics, AI, data science, or combinations of these and other initiatives — we usually start with technology: what’s new, what’s modern, what’s changing. But in this post, I…
Reading Time: 3 minutesAI is transforming how businesses operate — but it is simultaneously exposing just how fragile many data foundations really are. As organizations rush to operationalize AI, they discover that the biggest obstacle is not model sophistication, but the data: where…
Reading Time: 4 minutesIn the last few years, many companies that initially decided to implement cloud-first or cloud-only strategies in public cloud platforms are reconsidering their data strategies. An article by Denodo CTO Alberto Pan states that “By 2026, over 80% of organizations…
Reading Time: 3 minutesGartner® has had a long history of analyzing the potential of a logical approach to data management. In 2020, in “The Practical Logical Data Warehouse,” Gartner begins by saying, “The logical data warehouse — a data consolidation and virtualization architecture…
Reading Time: 4 minutesAn edited version of this blog is also posted on InsightJam. Saying we live in a world of disruption and change has become cliché, but sometimes unpredictable events arise that put this statement into stark reality and challenge even the…
Reading Time: 4 minutesIn 2024, generative AI (GenAI) became top-of-mind, as companies began to leverage it for increased productivity. Additionally, storage continued to grow in capacity, epitomized by an optical disk designed to store a petabyte of data, and the global Internet population…
Reading Time: 5 minutesThe data landscape has evolved and become more complex as organizations recognize the need to leverage data and analytics. Generative artificial intelligence has further put pressure on organizations to manage this complexity. At TDWI, we see companies collecting traditional structured…
Reading Time: 2 minutesThe Pandemic was a wake-up call that the supply chain needs systems and support that keep it resilient, responsive, and adaptive. Traditional data management approaches just won’t cut it, as they rely on physically replicating data from multiple systems into…
Reading Time: 3 minutesAs we move deeper into 2024, it is imperative for data management leaders to look in their rear-view mirrors to assess and, if needed, refine their data management strategies. One thing is clear; if data-centric organizations want to succeed in…
