The Data-Centric Revolution: Dealing with Data Complexity
There are many perennial issues with data: data quality, data access, data provenance, and data meaning. I will contend in…
Building Sustainable Data Centers for the Digital Age
Data centers are increasingly necessary in today’s digitally dependent world. However, these specialized facilities are incredibly resource-intensive, requiring the professionals…
Fundamentals of AI Automation
Experts predict the AI market will grow from $184 billion in 2024 to $826 billion by 2030. And considering the…
Change Management in Data Projects: Why We Ignored It and Why We Can’t Afford to Anymore
For decades, we’ve heard the same refrain: “Change management is crucial for project success.” Yet leaders have nodded politely and ignored…
Synergy: Data Security Posture Management and Data Security Governance
Several years ago, while working for a firm developing groundbreaking software, I proposed to my boss that we were, in…
Eyes on Data: Understanding Data Products and Their Role in Data Marketplaces
In the rapidly evolving landscape of data management, the concept of data products has emerged as a cornerstone for effective…
A Step Ahead: IoT Sensors – Where Vast Data Comes From
The insight we gain from an IoT system is derived from the data obtained by its sensors. Driven by innovations…
Data Crime: Chrissy Teigen Is Not a Twin
I call it a “data crime” when someone is abusing or misusing data. When we understand these stories and their implications,…
Efficient Data Extraction Techniques for Large Datasets
In today’s data-driven world, efficiently extracting data from large datasets is crucial for businesses to gain valuable insights and make…
Ensuring AI-Ready Data
Being an AI-ready organization involves identifying and then overcoming data issues that hinder the effective use of AI and generative…