Why We Shouldn’t Be Surprised by the High Failure Rates of AI
The Vegas Chapel Epiphany While delivering a workshop in Las Vegas recently, I walked past several wedding chapels, each offering…
Data Education
What Does the Citizen Data Scientist Concept Entail?
In 2016, the technology research firm Gartner coined the term “citizen data scientist,” defining it as “a person who creates or generates…
Shadow AI – Rising from the Penumbra
In the last couple of years, AI has taken over our organizations. While the benefits of using AI to augment…
The Role of Dark Data: Uncovering Insights in Unused Information
Dark data remains one of the greatest untapped resources in business. This is due to the vast amounts of usable…
What If AI’s Mistakes Aren’t Bugs, but Features?
We often say AI’s mistakes are “by design,” but they’re really not. AI wasn’t built to fail in these specific…
A Practical Approach to Data Mesh Implementation
It’s easy to make the case for building a data mesh within your business. By enabling a decentralized approach to…
The Data-Centric Revolution: ABox Versioning
Have you ever invented something, seemingly out of whole cloth, only to do a simple Google search to find out…
Legal Issues for Data Professionals: A New Data Licensing Model
Setting the Stage: Data as a Business Asset This column presents a new model for licensing and sharing data, one that…
Predictive Analytics Supports Citizen Data Scientists
Like every other business, your organization must plan for success. In order to do this, the team must have a…
The Future of Data Engineering and AI-Driven Analytics in the Workforce
The future of data engineering and AI-driven analytics is both exciting and complex. As technology continues to evolve at a…