Why context matters more than AI models with Jennifer Hamel | IDC

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Why context matters more than AI models with Jennifer Hamel | IDC

<span style="line-height:34px; display:block;">IDC's Jennifer Hamel explores how capturing hidden knowledge is essential for <br>reliable, accurate AI agents.</span>

Episode 10

Why context matters more than AI models with Jennifer Hamel | IDC

Host
Shirley Macbeth
Chief Marketing Officer, EXL
Guest
Jennifer Hamel
Research Vice President <br>of Enterprise Data and AI Services, IDC
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Summary

<p>In this episode, Shirley Macbeth sits down with Jennifer Hamel, Research Vice President of Enterprise Data and AI Services at IDC, to explore why business context is essential to successful enterprise AI. Jennifer shares insights from IDC's research on what separates organizations generating measurable AI value from those still stuck in experimentation.</p>
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Duration: 28:55

Show notes

<p class="p1"><strong>Chapter 1: What context really means for AI</strong><br>Jennifer explains how to help AI agents make better decisions by capturing employee expertise with knowledge graphs, ontologies, and semantic layers.</p><p class="p1"><strong>Chapter 2: Human-in-the-loop vs. human-on-the-loop</strong><br>Human oversight must evolve as AI becomes more autonomous. Governance is essential when moving from human managing processes to managing agents.</p><p class="p1"><strong>Chapter 3: Where to start and how to scale AI</strong><br>Jen walks through where organizations should start to move beyond AI pilots and deliver measurable business value through cross-functional collaboration and the right expertise.</p>
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