From Data Chaos to AI-Ready: Governing the Data Lifecycle in an AI-Driven World

Every organization already manages a data lifecycle - whether intentionally or not. Data is created, shared, retained and deleted every day across documents, email, collaboration platforms, business systems and increasingly, AI tools. When that lifecycle is informal, poorly defined or left to chance, risk silently accumulates.

In this 35‑minute webinar recording, we begin by examining AI in the workplace and how it is transforming risk. As organizations adopt AI tools, they are often exposing data that hasn’t been properly classified, secured or governed. We also explore how emerging regulations, including the EU AI Act, are raising expectations for governance, procurement and system design. You’ll gain practical insight into how to manage risk, establish governance clarity and adopt AI with confidence while continuing to innovate.

In the second half, we turn to data lifecycle governance and how foundational gaps directly lead to breaches, regulatory exposure and reputational damage. We break down the four key stages of the data lifecycle - creation, collaboration, retention and disposal, highlighting where risk most commonly emerges and how small failures compound over time. You’ll learn why a “keep everything” mindset is no longer defensible and why deletion is a critical governance decision, not just a cleanup task.

Speakers:
Peter Baddeley – Director of Sales & Client Solutions of SnapOn Software
Johnny Than – CEO of Appficiency, Founder of AskCipher