“AI is only as trustworthy as the data that fuels it.” This statement has never been more relevant. AI systems now power decisions, affecting credit approvals, medical diagnoses, fraud detection, and countless other critical areas. Yet without transparency into data sources, quality, and lineage, AI can quickly become a black box — opaque, unpredictable, and […]| TDAN.com
Compliance today isn’t just about keeping pace with rules and regulations; it’s about keeping pace with culture. Globalization, geopolitical uncertainty, and rapid shifts in technology mean the risks companies face are more complex than ever. Yet too many organizations are still relying on legacy systems, outdated processes, and once-a-year, check-a-box training to protect their people […]| TDAN.com
Dave Wells is a thought leader and influencer in the world of data. Early on in his role as TDWI education director — in the wild frontier days of data warehousing — he selected some of the data movers and shakers, such as Bill Inmon and Ralph Kimball, to present at world conferences. Dave played […]| TDAN.com
Marketers missed the real story while they scrambled to rebuild audience targeting without cookies: LLMs weren’t just changing how we write. They were rewriting the rules of how we understand consumer behavior online. The death of the third-party cookie was supposed to kill behavioral targeting. Instead, it’s about to become a lot smarter. The New […]| TDAN.com
Despite years of experimentation, most organizations agree: Artificial intelligence hasn’t remade the enterprise or shattered ROI goals — yet. In fact, McKinsey found that only about 1% of respondents in a recent survey believe they are at artificial intelligence maturity. 80% of respondents in a similar report failed to see a tangible ROI from generative AI. The data above shows that AI system implementations from […]| TDAN.com
It’s been just a few months since I checked off one of the top items on my bucket list. This past May, my wife and I traveled to London and Amsterdam. We built our trip around attending several concerts at the third-ever Gustav Mahler Festival [1]. We’d awoken at 3:30 a.m. back in February to […]| TDAN.com
This column explores how to protect against the risks of AI in legal confidentiality and non-disclosure agreements (NDAs). When companies are considering entering into a business relationship and/or are engaging in preliminary discussions about a contemplated agreement, they often create a term sheet that outlines the key business and legal provisions to be included in […]| TDAN.com
AI agents can do amazing things to make the lives of IT professionals easier. But, they also have the potential to do amazingly bad things — a lesson some organizations are already learning the hard way. For instance, Replit, a provider of software development tools, announced in July 2025 that an AI tool had deleted an entire production database. Although it’s […]| TDAN.com
Recently, I’ve been digging into what the future of work and the workforce might be in a post-GenAI world. Right now, organizations are experimenting with and adopting various forms of AI, GenAI, and agentic AI. We are seeing the impact of this in recruitment in areas such as customer service (replaced with chatbots), management consulting, […]| TDAN.com
The global financial sector is undergoing a profound digital transformation, redefining how individuals and institutions interact with their money. In this rapidly evolving landscape, digital identity security has become paramount, serving as the bedrock for trust and efficiency in online banking, e-commerce, and various other financial services. While this interconnectedness offers unprecedented convenience and opportunities, […]| TDAN.com
Introduction What is the difference between records and data? What differentiates records managers from data managers? Do these distinctions still matter as organizations take the plunge into artificial intelligence? Discussions that attempt to distinguish between records and data frequently articulate a heuristic for differentiation. “These items are records; those items are data.” Many organizations have […]| TDAN.com