As enterprises race to modernize their data foundations for AI-driven decision-making, many are wrestling with inconsistent business definitions, embedded logic that creates costly vendor lock-in, and a lack of visibility into how data is used.
In this three-part podcast series, we dig into findings from a recent survey of 100 senior IT leaders to explore why data consistency remains one of the most complex problems in enterprise analytics, and what it takes to solve it.
To download the full research report and learn more about how Strategy helps businesses seamlessly integrate and engage with data, visit www.strategysoftware.com.
Check out the podcast episodes!
⬆- Ep. 3 What Is AI Doing With Your Data? The New Imperative of Observability
- Ep. 2 Capabilities That Count: Building the Foundation for Scalable, Trusted AI
- Ep. 1 The Cost of Fragmentation: Why Data Consistency Still Fails
Ep. 3
What Is AI Doing With Your Data? The New Imperative of Observability
Do you truly know what AI does with your data? With confidence in AI transparency alarmingly low, this episode explains why AI observability must include lineage, explainability, and accountability. Learn how to make trustworthy decisions, strengthen security and compliance, and what “trustworthy AI” could look like in five years.
Ep. 2
Capabilities That Count: Building the Foundation for Scalable, Trusted AI
AI success begins with the fundamentals — but most enterprises are still in the early stages of achieving consistent, governed, and AI-ready data. This episode breaks down what “AI-readiness” really means and the capabilities that matter most: unified business definitions, robust governance, and scalability across tools and platforms.
Ep. 1
The Cost of Fragmentation: Why Data Consistency Still Fails
Despite decades of investment, many enterprises remain trapped in a cycle of data inconsistency and mistrust. This episode dives into just how widespread semantic fragmentation still is — and why true alignment depends on culture, ownership, and the creation of a unified semantic foundation.
