Let’s start with a truth that too many people still overlook — not all data is good data. Just because something is sitting ...

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 ...

In today’s digital systems, vast volumes of information are produced daily. However, simply collecting large amounts of data is not enough. That data must be reliable and well-structured to serve any ...

Sapiens. He has 15-plus years of experience leading cloud migrations, crafting business models, and fostering innovation. Pankaj has the proven ability to collaborate and deliver impactful results. He ...

Murugan is a product strategy and operations manager at Google, with over 15 years of experience spanning consulting, product management, and sales. She is a technical leader with expertise in ...

My recent journey along the Nile River in Egypt sparked an unexpected professional revelation. Standing on the deck of a ...

Let’s face it — data governance has never been just about ownership and stewardship. As Jonathan Reichental notes in “Data ...

We live in an age where the words we use for artificial intelligence are shaping the future faster than the technologies ...

It would be hard to imagine a data model that didn’t include persons, either as individuals or as groups. Models contain people in one of two ways: as organizational structures or as playing roles in ...

Running a business with dirty data is like trying to drive a car blindfolded — it’s only a matter of time before disaster strikes. Dirty data doesn’t just create inefficiencies, it drains resources at ...

In my previous TDAN.com column, “ Piloting the Plane – EDM Program and Project Management,” I explored perspectives, structures, cultures, approaches and activities needed to establish and ...

Introduction We are living in the age of a data revolution, and more corporations are realizing that to lead—or in some cases, to survive—they need to harness their data wealth effectively. The data ...