Reimagining Work with AutoClassification Dec 2025

Описание: As organizations move deeper into the AI era, the lines between information governance, records management, and enterprise data strategy are converging. The conversation is no longer about simply classifying or retaining content—it’s about creating trustworthy, AI-ready data ecosystems that empower people, not replace them.

Join a panel of industry experts as we explore how AutoClassification and AI-driven data governance are reshaping the way we work heading into 2026. We’ll discuss the growing shift from “records management” to full-scale enterprise data governance, and how organizations are confronting the reality that “bad data equals bad models.” Learn how modern AutoClassification tools can clean, classify, and govern content at scale—faster and more accurately than traditional review teams—while still maintaining human oversight and accountability.

We’ll also examine the human side of automation: what democratized access to AI means for the workforce, how it can reduce ageism and skill gaps, and why reimagining workflows—not just automating them—is critical for long-term success.

Finally, we’ll look ahead to 2026 trends, including:

How leading enterprise platforms like Oracle and Microsoft are embedding AI throughout their ecosystems.
The emerging role of AI principles and risk frameworks in governance strategy.
The growing alignment (and tension) between policy, technology, and social responsibility in the age of intelligent automation.

This lively discussion will challenge you to think differently about data trust, organizational change, and the power of AutoClassification as the foundation of a truly modern information governance strategy.