I’ve read a bunch of books on data literacy over the years. I’m a data person, so I get data, but I find reading data ...
Artificial intelligence has become the phrase of the decade … maybe even the phrase of the generation. It shows up in ...
The concept of being holistic embraces a comprehensive and interconnected view of various aspects of life, considering them as a whole rather than isolated parts. The concept of being holistic ...
In a world increasingly dominated by data, organizations are grappling with the need to effectively manage and harness this valuable asset. And with increased regulations and compliance, opportunities ...
The term “data culture” is frequently used to describe a normative view about how an organization functions (or more precisely, should function) with respect to its data. The term is not particularly ...
AI governance has become a critical topic in today’s technological landscape, especially with the rise of AI and GenAI. As CEOs express concerns regarding the potential risks with these technologies, ...
In today’s rapidly evolving corporate landscape, environmental, social, and governance (ESG) reporting has become a focal point for organizations aiming to demonstrate their commitment to ...
Data professionals often talk about the importance of managing data and information as organizational assets, but what does this mean? What is the actual business value of data and information? How ...
In today’s rapidly changing and advancing world of artificial intelligence (AI), generative AI, and large language models (LLMs), data has become the lifeblood of innovation. Data fuels algorithms, ...
Artificial Intelligence (AI), Machine Learning (ML) and Large Language Models (LLM) have turned the world on its head. From finance to manufacturing to pharmaceuticals to retail, every industry is ...
Artificial intelligence has entered a phase that feels both inevitable and strangely precarious. The hype is unmistakable. So is the sense that we are still early — too early — for the broader ...
In part one of “Metadata Governance: An Outline for Success,” I discussed the steps required to implement a successful data governance environment, what data to gather to populate the environment, and ...