The Gorilla in the Quadrant: Why Your Data and AI Governance Strategy Needs More Than Gartner’s Report
Just hanging out, contemplating the complexities of data governance. Photo by author David E. Sweenor. It’s no surprise that AI...
Data-Centric AI: A New Approach to Making Business Decisions
Introduction: The Shift from Model-Centric to Data-Centric AI What if the key to unlocking AI’s full potential isn’t hidden in...
It’s the Data, Stupid
Beyond Models: Unlocking AI Through Data Maturity Introduction In 1992, James Carville, a strategist for Bill Clinton’s presidential campaign, coined...
AI Oversight: Strategic Imperatives for Successful AI Governance
From Cost Center to Value Creator This article is the final installment of a 3-part series on AI governance. Introduction...
Author Interview: Mastering Modern Data Stack
In our inaugural episode of TinyTechGuides Talks, I was fortunate to have the opportunity to interview Dr. Nick Jewell, a modern-day data aficionado and the author of Mastering the Modern Data Stack, which was ranked #6 on the Amazon U.K.’s best seller for data management books.
From Lock and Key to a Modern Data Stack: A Dive into Nick Jewell’s Data-driven Journey
A Live Dive with Dr. Nick Jewell and not-a-Dr. David Sweenor Introduction In our inaugural episode of TinyTechGuides Talks, I...
The Art of The AI KPI
With the current economic uncertainty that surrounds us, Chief Data and Analytics Officers are under increasing pressure to track the business impact of data, analytics, and AI initiatives on business outcomes. In most organizations, that leads to talk of key performance indicators (KPIs).
Crossing the AI Chasm
The analytics chasm fundamentally boils down to one thing: a lack of analytics capacity within your organization.
Why Organizations Need to Double Down on Analytics to Drive Innovation
Dynamic and uncertain marketing conditions have created new opportunities, but organizations will need to prioritize their analytics investments to seize them.