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Oct 1 2025

Stop Feeding AI Junk: A Systematic Approach to Unstructured Data Ingestion

It’s go-time for enterprise AI. A PagerDuty global survey of 1,000 IT and business executives found that 62% of companies using agentic AI expect a return of 171% on average. But getting to ROI is no easy task. Recent surveys show mixed results on efforts thus far, with “getting strategies right” and “making data ‘AI-ready’” […]

Rethinking (Data) Politics in the Workplace

Most people cringe when they hear the word politics in the workplace. It brings to mind backroom deals, favoritism, turf wars, and decision-making that feels more about power than about progress. In the world of data, politics often gets blamed for blocking change — departments hoarding information, leaders fighting over priorities, and executives struggling to […]

Strengthening Compliance with Better Data

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 Yet too many organizations are still relying on legacy systems, outdated processes, and once-a-year, check-a-box training to protect their people […]

LLMs Are Rewriting the Rules of Behavioral Targeting

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 […]

AI Governance Reaches an Inflection Point

A new survey of 1,250 data governance executives commissioned by OneTrust offers a detailed snapshot of how organizations are grappling with the realities of AI adoption. The findings are clear: Enterprise use of artificial intelligence has surged, but the governance structures required to manage it have not kept pace. As adoption accelerates, governance is no longer optional […]

Building a Data-First Culture

Technology is not what powers a data-first culture, but people, operating models, and disciplined delivery. Most organizations already possess more tools and data than they can effectively utilize. What differentiates the leaders is that they tie analytics to real business results, productize effective data, govern for speed and security, and, most importantly, rewire decisions. While […]

The Next Frontier in Enterprise IT: Agentic AI That Takes Responsibility

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 […]

Through the Looking Glass: Mahler, Creativity, and AI-Generated Music

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 […]

Data Governance and CSR: Evolving Together

In a world where every claim your organization makes — about sustainability, equity, or social impact — is scrutinized by regulators, investors, and the public, one truth stands out: Your data has never mattered more. Corporate Social Responsibility (CSR) isn’t just about good intentions — it is about trustworthy, transparent data that stands up to […]

Tending the Unicorn Farm: A Business Case for Quantum Computing

Welcome to the whimsical wide world of unicorn farming. Talking about quantum computing is a bit like tending to your unicorn farm, in that a lossless chip (at the time of writing) does not exist. So, largely, the realm of quantum computing is just slightly faster than normal compute power. The true parallel nature of […]

Why Data Governance Still Matters in the Age of AI

At a recent conference, I witnessed something that’s become far too common in data leadership circles: genuine surprise that chief data officers consistently cite culture — not technology — as their greatest challenge. Despite a decade of research and experience pointing to the same root cause, conversations still tend to focus on tools rather than […]

Data Speaks for Itself: Is Your Data Quality Management Practice Ready for AI?

While everyone is asking if their data is ready for AI, I want to ask a somewhat different question: Is your data quality management (DQM) program ready for AI? In my opinion, you need to be able to answer yes to the following four questions before you can have any assurance you are ready to […]

A Step Ahead: From Acts to Aggregates — Record-ness and Data-ness in Practice

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 […]

Understanding Data Pipelines: Why They Matter, and How to Build Them

Building effective data pipelines is critical for organizations seeking to transform raw research data into actionable insights. Businesses rely on seamless, efficient, scalable pipelines for proper data collection, processing, and analysis. Without a well-designed data pipeline, there’s no assurance that the accuracy and timeliness of data will be available to empower decision-making. Companies face several […]

A Leadership Blueprint for Driving Trusted, AI-Ready Data Ecosystems

As AI adoption accelerates across industries, the competitive edge no longer lies in building better models; it lies in governing data more effectively. Enterprises are realizing that the success of their AI and analytics ambitions hinges not on tools or algorithms, but on the quality, trustworthiness, and accountability of the data that fuels them. Yet, […]

All in the Data: Where Good Data Comes From

Let’s start with a truth that too many people still overlook — not all data is good data. Just because something is sitting in a database or spreadsheet doesn’t mean it’s accurate, trustworthy, or useful. In the age of AI and advanced analytics, we’ve somehow convinced ourselves that data — any data — can be […]

The Book Look: Rewiring Your Mind for AI

I collect baseball and non-sport cards. I started collecting when I was a kid, stopped for about 40 years, and returned to collecting again, maybe as part of a mid-life crisis. I don’t have the patience today though, that I had when I was 12. For example, yesterday I wanted to find out the most […]

Rethinking Data-Driven Leadership

After reading a piece a while back on why people “don’t trust data, they only trust other people,” I found myself agreeing — but also seeing another side to the story. In my experience, leaders don’t trust data directly — they trust the story data helps them tell. Sometimes that story reinforces what they already […]

Thoughts on the DAMA DMBoK

Many years ago, I contributed material on Database Development and Database Operations Management to the first edition of DAMA International’s “Data Management Body of Knowledge” (the DAMA DMBoK).i Now that work has begun on the Third Edition of the DMBoK, I’d like to share a few thoughts and critiques on the DMBoK for consideration. Some […]

The Role of AI in Mitigating Next-Generation Cyber Threats

The digital age has witnessed an exponential increase in data creation and interconnectivity, resulting in unprecedented challenges in cybersecurity. Businesses, governments, and individuals are perpetually at risk of cyber-attacks ranging from data breaches and financial theft to espionage and infrastructure sabotage. While necessary, traditional cybersecurity measures are often reactive rather than proactive, struggling to adapt […]

Legal Issues for Data Professionals: Preventive Healthcare and Data

This column addresses the role of data in the field of healthcare known as “preventive healthcare.” Preventive healthcare is undergoing changes as data increases its scope and the role it plays in healthcare. What Is Preventive Healthcare and Its Data? For the purpose of this article, traditional healthcare refers to patient care received from a […]

AI and Business Transformation: Balancing Innovation and Control

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 […]

Is the Scope of Data Governance Enough?

Data governance has long been the backbone of responsible data management, ensuring that organizations maintain high standards in data quality, security, and compliance. According to Jonathan Reichental in “Data Governance for Dummies,” the scope of governance extends well beyond data ownership and stewardship. It encompasses metadata, data architecture, master and reference data management, storage, integration, […]

Continuous Delivery for Data Pipelines: A Practical Guide

What Is Continuous Delivery? Continuous delivery (CD) refers to a software engineering approach where teams produce software in short cycles, ensuring that software can be reliably released at any time. Its main goals are to build, test, and release software faster and more frequently. This process typically involves deploying every change to a production-like environment […]

The Data-Centric Revolution: The Year of the Knowledge Graph

Signals are converging and leading me to believe that 2025 is the Year of the Knowledge Graph. But before we get carried away with this prognosis, let’s review some of the previous Year of the Knowledge Graph candidates and see why they didn’t work out. 2001 The first candidate for the Year of the Knowledge […]

🔴 Red Button Data

🔴 Red Button Data

Stop Feeding AI Junk: A Systematic Approach to Unstructured Data Ingestion

Rethinking (Data) Politics in the Workplace

Strengthening Compliance with Better Data

LLMs Are Rewriting the Rules of Behavioral Targeting

AI Governance Reaches an Inflection Point

Building a Data-First Culture

The Next Frontier in Enterprise IT: Agentic AI That Takes Responsibility

Through the Looking Glass: Mahler, Creativity, and AI-Generated Music

Tending the Unicorn Farm: A Business Case for Quantum Computing

Why Data Governance Still Matters in the Age of AI

Data Speaks for Itself: Is Your Data Quality Management Practice Ready for AI?

A Step Ahead: From Acts to Aggregates — Record-ness and Data-ness in Practice

Understanding Data Pipelines: Why They Matter, and How to Build Them

A Leadership Blueprint for Driving Trusted, AI-Ready Data Ecosystems

All in the Data: Where Good Data Comes From

The Book Look: Rewiring Your Mind for AI

Rethinking Data-Driven Leadership

Thoughts on the DAMA DMBoK

The Role of AI in Mitigating Next-Generation Cyber Threats

Legal Issues for Data Professionals: Preventive Healthcare and Data

AI and Business Transformation: Balancing Innovation and Control

Is the Scope of Data Governance Enough?

Continuous Delivery for Data Pipelines: A Practical Guide

The Data-Centric Revolution: The Year of the Knowledge Graph

🔴 Red Button Data

🔴 Red Button Data

Category Archives: Data Management News, Articles, & Education