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Sep 12 2025

Comparing EU and U.S. State Laws on AI: A Checklist for Proactive Compliance

The global market for artificial intelligence is evolving under two very different legal paradigms. On one side, the European Union has enacted the AI Act, the first comprehensive and enforceable regulatory regime for AI, applicable across all member states and with far-reaching extraterritorial scope. On the other, the United States continues to advance AI oversight primarily at the state level, resulting in a patchwork of rules that vary in focus, definitions, and enforcement…

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What Makes Small Businesses’ Data Valuable to Cybercriminals?

While large corporations like Optus, Medibank, and The Iconic often dominate headlines for cybersecurity breaches, the reality is that small businesses are increasingly attractive targets for cybercriminals. Many small business owners operate under the dangerous illusion that their business is too small or insignificant to attract the attention of cybercriminals or that they have nothing of value to steal. This mindset often leads to a false sense of security…

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Ask a Data Ethicist: How Does the Use of AI Impact People’s Perceptions of You?

Last October, I wrote a column about the use of generative AI in producing a professional service. I pondered the question of whether or not others’ knowledge about the use of AI in producing a professional service – such as legal work, consulting, or creative work – would devalue the service. My hypothesis was that […]

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Mind the Gap: Agentic AI and the Risks of Autonomy

The ink is barely dry on generative AI and AI agents, and now we have a new next big thing: agentic AI. Sounds impressive. By the time this article comes out, there’s a good chance that agentic AI will be in the rear-view mirror and we’ll all be chasing after the next new big thing. […]

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Why Business-Critical AI Needs to Be Domain-Aware

We stand at a pivotal moment. Generative AI, with its large language models (LLMs) and retrieval-augmented generation (RAG) systems, promises to revolutionize how industries operate. We’ve all seen the impressive demos that can summarize articles, write code, or draft marketing copy. But when the stakes are high and an error could lead to a financial […]

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Book of the Month: “Rewiring Your Mind for AI”

This month, we’re reviewing “Rewiring Your Mind for AI” by David Wood. In this book, Dr. Wood shows us how to think differently to leverage the benefits of artificial intelligence (AI). The book first sets us up to think in terms of growth mindsets instead of limiting mindsets – starting with some anecdotes about how calculators and […]

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How to Overcome Five Key GenAI Deployment Challenges

Generative AI (GenAI) continues to provide significant business value across many use cases and industries. But despite the many successful customer experiences, GenAI is also proving to be challenging for some businesses to get right and deploy across their organizations in full production. As a result, plenty of projects are getting stuck in planning, experimentation, […]

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Open Data Fabric: Rethinking Data Architecture for AI at Scale

Enterprise AI agents are moving from proof-of-concept to production at unprecedented speed. From customer service chatbots to financial analysis tools, organizations across various industries are deploying agents to handle critical business functions. Yet a troubling pattern is emerging; agents that perform brilliantly in controlled demos are struggling when deployed against real enterprise data environments. The problem […]

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No PhD? No Problem: How Accessible AI Is Making Data Science Everyone’s Business

Not long ago, manipulating large datasets, training machine learning models, or visualizing results required advanced programming skills and specialized statistical knowledge. Today, intuitive AI tools and natural language interfaces are allowing nearly everyone – not just data scientists, engineers, and technical experts – to analyze and act on data. In fact, nearly 8 in 10 organizations now […]

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How an Internal AI Governance Council Drives Responsible Innovation

AI has rapidly evolved from a futuristic concept to a foundational technology, deeply embedded in the fabric of contemporary organizational processes across industries. Companies leverage AI to enhance efficiency, personalize customer interactions, and drive operational innovation. However, as AI permeates deeper into organizational structures, it brings substantial risks related to data privacy, intellectual property, compliance […]

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The Data Danger of Agentic AI

Agentic AI represents a significant evolution beyond traditional rule-based AI systems and generative AI, offering unprecedented autonomy and transformative potential across various sectors. These sophisticated systems can plan, decide, and act independently, promising remarkable advances in efficiency and decision-making. However, this high degree of autonomy, when combined with poorly governed or flawed data, can lead […]

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How to Future-Proof Your Data and AI Strategy

With AI systems reshaping enterprises and regulatory frameworks continuously evolving, organizations face a critical challenge: designing AI governance that protects business value without stifling innovation. But how do you future-proof your enterprise for a technology that is evolving at such an incredible pace? The answer lies in building robust data foundations that can adapt to whatever comes […]

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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 […]

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