

A World of AI Excess: The Tech Outcomes That Matter for 2025
10 snips Apr 8, 2025
In this discussion, Mary Mesaglio, a Distinguished VP Analyst at Gartner, shares insights on navigating the evolving landscape of AI for 2025. She emphasizes the shift from AI scarcity to abundance and how organizations can leverage generative AI with unstructured data. Mary introduces the 'AI tech sandwich' framework, highlighting the crucial TRISM layer that addresses trust, risk, and security. This conversation is essential for executive leaders aiming to connect AI effectively with their business strategies.
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AI Excess
- The world is shifting from AI scarcity to AI excess, leading to potential AI technology debt.
- This is driven by the increasing prevalence of AI and data from various sources.
Sources of AI
- AI is no longer solely built by internal teams; it's also brought in by departments (BYO AI) and embedded in existing software.
- By 2026, over 80% of enterprise software will include embedded GenAI, contributing to AI excess.
Data Explosion
- Data is now coming from everywhere, with unstructured data making up approximately 80% of enterprise data.
- Generative AI excels at accessing and activating this unstructured data, though at a cost.