AI Driven Technology Management: Evolving Skills for AI and Data Governance in Technology Management
As AI reshapes the technology landscape, the skills required for effective ITAM are rapidly evolving. In this session, we’ll explore how asset managers can adapt by building a deeper understanding of AI and its impact on asset management practices. From master data management (MDM) to new data models and governance frameworks, we’ll examine how AI is redefining the way organisations manage and leverage asset data.
What you’ll gain:
- Future-ready skills: Learn which competencies ITAM professionals need to thrive in an AI-driven environment.
- Data management insights: Understand how AI is transforming MDM, governance structures, and the way organisations handle asset data.
- Practical strategies: Discover approaches to upskilling and adapting ITAM practices to align with AI advancements.
- Proactive preparation: Gain tools to anticipate challenges and take advantage of new opportunities AI introduces into ITAM.
- A stronger ITAM role: See how equipping your team with AI knowledge can enhance decision-making, efficiency, and long-term value.
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Speaker
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Martin ThompsonFounder, The ITAM ForumMartin is the founder of the ITAM Forum, a not-for-profit trade body for the advancement of the ITAM profession. On a voluntary basis, he contributes to the ITAM Standards Committee (WG21), which develops the ISO ITAM family of standards (ISO 19770). He is also the author of, “Practical ITAM—The Essential Guide for IT Asset Managers,” which covers how to get started and make a difference in IT Asset Management.
