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Aug 6 2025

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 […]

The Five Levels Essential to Scaling Your Data Strategy

Scaling your data strategy will inevitably result in winners and losers. Some work out the system to apply in their organization and skillfully tailor it to meet the demands and context of their organization, and some don’t or can’t. It’s something of a game. But how can you position yourself as a winner? Read on […]

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 […]

Everything You Need to Know About Synthetic Data

Synthetic data sounds like something out of science fiction, but it’s fast becoming the backbone of modern machine learning and data privacy initiatives. It enables faster development, stronger security, and fewer ethical headaches – and it’s evolving quickly. So if you’ve ever wondered what synthetic data really is, how it’s made, and why it’s taking center […]

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Beyond Pilots: Reinventing Enterprise Operating Models with AI

The enterprise AI landscape has reached an inflection point. After years of pilots and proof-of-concepts, organizations are now committing unprecedented resources to AI, with double-digit budget increases expected across industries in 2025. This isn’t merely about technological adoption. It reflects a deep rethinking of how businesses operate at scale. The urgency is clear: 70% of the software used […]

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External Data Strategy: Governance, Implementation, and Success (Part 2)

In Part 1 of this series, we established the strategic foundation for external data success: defining your organizational direction, determining specific data requirements, and selecting the right data providers. We also introduced the critical concept of external data stewardship — identifying key stakeholders who bridge the gap between business requirements and technical implementation. This second part […]

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Author: Subasini Periyakaruppan

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Jul 16 2025

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 […]

Reimagining Data Architecture for Agentic AI

As agentic AI and autonomous systems transform the enterprise landscape, organizations face a new imperative: Fundamentally reimagining data architecture is no longer optional; it’s required for AI success. Many enterprises are coming to the realization that traditional data architectures, which are built for structured data and deterministic workloads, are ill-equipped to support agentic AI’s demands […]

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Future-Proofing AI Under a Federal Umbrella: What a 10-Year State Regulation Freeze Means

The federal government’s proposal to impose a 10-year freeze on state-level AI regulation isn’t happening in a vacuum but in direct response to California. The state’s AI Accountability Act (SB 1047) has been making waves for its ambition to hold developers of powerful AI models accountable through mandatory safety testing, public disclosures, and the creation of a new regulatory […]

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External Data Strategy: From Vision to Vendor Selection (Part 1)

In today’s data-driven business environment, the ability to leverage external information sources has become a critical differentiator between market leaders and laggards. Organizations that successfully harness external data don’t just gather more information – they transform how they understand their customers, anticipate market shifts, and identify growth opportunities. However, the path from recognizing the need for […]

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Author: Subasini Periyakaruppan

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Jun 26 2025

Why and How to Enhance DevOps with AIOps

AIOps, the practice of enhancing IT and DevOps with help from artificial intelligence and machine learning, is not an especially new idea. It has been nearly a decade since Gartner coined the term in 2016. Yet, the growing sophistication of AI technology is making AIOps much more powerful. Gone are the days when AIOps was mostly a […]

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Deploying AI Models in Clinical Workflows: Challenges and Best Practices

The global healthcare AI market is projected to grow from $32.34 billion in 2024 to $431 billion by 2032. It is evident that artificial intelligence (AI) is transforming the healthcare sector, one workflow at a time. Even so, hospitals and clinics struggle to successfully integrate the technology into their workflows, as real-world deployment is fraught […]

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Improving Data Quality Using AI and ML

In our fast-paced, interconnected digital world, data is truly the heartbeat of how organizations make decisions. However, the rapid explosion of data in terms of volume, speed, and diversity has brought about significant challenges in keeping that data reliable and high-quality. Relying on traditional manual methods for data governance just doesn’t cut it anymore; in […]

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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 […]

Data Is Risky Business: Sustainability and Resilience in Data Governance

This quarter’s column is co-authored with Anthony Mazzarella, a fellow practitioner-academic doing research into what makes data governance “tick.” There has been a lot of commentary on social media and elsewhere in recent months about how data governance has failed and how we need to reframe the discussion on what it means to govern data, […]

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 […]

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