Ep. 97 - Russell Long: Stop Blaming AI. Your Data is the Problem — The Signal

Every CIO I talk to wants to know how to get AI ready. But according to Russell Long, co-founder and CEO of Authentica Solutions, most institutions are asking the wrong question. The real bottleneck isn't choosing the right AI model—it's unifying the data that feeds it.

In this episode, host Jeff Dillon sits down with Russell, who has spent two decades building the data infrastructure that sits quietly underneath education technology. He's taken a company through acquisition by BrightBytes (later acquired by Google), seen his DataSense platform find a second home inside Microsoft, and rebuilt Authentica around a modern education intelligence platform backed by a $6.2 million Series C round.

Russell shares hard-won lessons from the classroom, the enterprise, and global scale. He explains why "technical turn-on" doesn't equal adoption, why universities need to re-evaluate who they actually serve, and how a state-level nursing shortage was really a data problem in disguise. He also introduces the Adoption Improvement Method (AIM)—a framework for ensuring new technology actually gets used, not just purchased.

For anyone leading digital strategy, data governance, or AI adoption in higher ed, this episode is a grounded, practical look at what it actually takes to build the foundation for intelligent systems.

Key Takeaways

AI Readiness Starts with Data Unification, Not the Model: You can't trust AI answers if you don't trust the data behind them. Institutions need to unify their data into a "gold layer" of trusted information before they can confidently explore AI. Garbage in, garbage out—at scale.
Technical Turn-On Is Not Adoption: Just because a system is available doesn't mean it's being used. Many institutions confuse "turned on" with "adopted." Real adoption requires consistency, training, and ongoing engagement—not just a contract signature.
The Adoption Improvement Method (AIM) Is a Framework for Success: Authentica's AIM methodology includes 11 components for implementing enterprise technology, measuring impact, and revisiting change management. If adoption is low, it may be the wrong tech, the wrong onboarding, or just a bad fit.
Bad Data Leads to Bad Policy: Russell shares the story of a state nursing program that thought it was nearly full—until unified data revealed it was short by 2,000 spots annually and that 72% of nursing students were dropping out by sophomore year, not the assumed 36%. Acting on assumed data leads to bad decisions.
Data Belongs to the Student: Schools, districts, and universities are proxies for student data. The ultimate goal should be giving students ownership of their own information so they can share it with employers, certifications, or institutions as they choose.
K-12 and Higher Ed Have More in Common Than We Think: The challenges around data, interoperability, and technology adoption are surprisingly similar across both sectors. Some of the best ideas for higher ed come from looking across the K-12 divide.
The Rise of the Community College Is Real: Major companies like Microsoft and Google are investing dedicated teams in community colleges, separate from their state and local government sales teams. That signals a shift worth paying attention to.
Higher Ed Needs to Re-Evaluate Who It Serves: Many professors still treat 18–21-year-olds like they're in high school—but those students are paying for a service. The power dynamic is shifting, and institutions that don't adapt will struggle.
Special Education Support Shouldn't End at K-12: Students who receive support in K-12 often lose it when they transition to higher ed. Russell argues that universities should be req...

Chapters

(00:00:00) - The future of learning is professor-centered
(00:00:45) - Meet the Connectors of Higher Ed: Russell Long
(00:02:12) - Top Executives: The power of AI in the classroom
(00:06:40) - Authentica: Connecting K12 & Higher Ed Data
(00:09:53) - What's the Big Picture of Data Preparing for AI?
(00:12:01) - Data readiness: The hard part
(00:17:47) - What did that experience teach you about building a scalable education business?
(00:22:04) - Microsoft's Adoption Improvement Method
(00:25:04) - WSJD Live: K12 and Higher Ed
(00:29:49) - What's Your Biggest Win?
(00:32:07) - The Signal: Higher Ed Tech Insights