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
Technology often moves faster than the rules meant to govern it. Regulators, tasked with protecting data they don’t always fully understand, have traditionally responded after problems occur, using past incidents to shape future policies. It’s a reactive approach that struggles to keep pace with innovation. But as cyber threats have escalated and the consequences have […]| 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
I’ve written elsewhere about the value of grounding your metrics program in semantics.1 This article goes well beyond that. We are just beginning to see a pattern of evolution that seems to be enabled, perhaps even encouraged, by the collapsing of silos into a data-centric knowledge graph. It is still early days, but the patterns […]| TDAN.com
For years, concerns about cloud market concentration have echoed across Europe, the U.K., and the U.S. In the background, the U.K.’s Competition and Markets Authority (CMA) was investigating that very issue. After two years, the CMA concluded that the U.K. government must apply increased scrutiny to Amazon and Microsoft, the two most dominant players in […]| TDAN.com
The importance of Citizen Data Scientists has become a focus for the wise business executive and manager. Understanding Citizen Data Scientists and how they can supplement analytics and help the organization to be more successful can be a real competitive advantage for a business, whether that business is in a local market, a global industry, […]| TDAN.com
Data Governance Goals The primary aim of data and analytics (D&A) governance, our research has taught us, is aligning data and analytic content with business objectives, including regulatory requirements and stakeholder expectations. At its core, it is about establishing a framework for the optimal curation, control, and utilization of data to support strategic and operational […]| TDAN.com
In an era where data drives trillion-dollar market decisions, one truth separates industry leaders from the rest: Data reconciliation is only as practical as the stakeholders behind it. Yet most organizations treat reconciliation as a technical chore — delegated to IT teams and automated tools — while sidelining the very experts who understand the data’s business context. […]| TDAN.com
The promise and pursuit of artificial intelligence (AI) are undeniable. AI is reshaping how organizations interact with customers, streamline operations, manage risk, and uncover insights that were previously unattainable (or at least more difficult to achieve). But amid the excitement, a hard truth remains: Without a solid foundation in data management, AI cannot deliver on […]| 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
The Irish satirist Jonathan Swift wrote “Gulliver’s Travels” almost 300 years ago, but the story of Lemuel Gulliver’s journey to Lilliput and beyond has resonance for data leaders today. There are important lessons to learn from the little people of Lilliput and the challenges encountered by the eponymous Gulliver. While Lilliput is where Gulliver first […]| 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
Taking immediate action on sensor data is vital in modern Internet of Things (IoT) systems. Real-time streaming serves as the fundamental structure of IoT analytics because it enables automated responses, predictive insights, and operational efficiency. Analyzing and responding to real-time data has become mandatory for healthcare, aerospace, and manufacturing systems. An example of real-time streaming’s […]| TDAN.com
AI is no longer just a concept or a futuristic tool. It’s here and it’s likely already integrated into many aspects of your business, potentially in ways you might not even realize. AI’s potential to transform how we operate, deliver services, and optimize workflows offers significant benefits, but it also comes with responsibilities — and […]| TDAN.com
If you haven’t already heard, a number of organizations have laid off their CDOs and CDO groups and data teams because of a perceived lack of significant or measurable business value. In addition, a recently released report from MIT Sloan delivers some very depressing numbers about the efficacy of CDO groupsi: The average tenure of […]| TDAN.com
I recently published on this site a document I call the “Manifesto for Data Value Delivery” (aka, the “Data Value Manifesto”). Many thanks to those of you who have already reached out to me with suggestions and comments on this draft (if you want to, you can connect with me via LinkedIn; there’s a link […]| TDAN.com
We hear this a lot. We hear it from very smart people. Just the other day we heard someone say they had tried RDF twice at previous companies and it failed both times. (RDF stands for Resource Description Framework,[1] which is an open standard underlying many graph databases). It’s hard to convince someone like that […]| TDAN.com
