<p class="p1">In this episode</p><p class="p1"><strong>Chapter 1: Why AI doesn’t need a perfect start</strong><br>Tim Rafton, executive general manager at IAG, shares why organizations shouldn’t delay adopting AI even if they face challenges from complex systems and messy data.</p><p class="p1"><strong>Chapter 2: How to approach solving real problems</strong><br>Using real examples, Tim provides his view on identifying use cases, building momentum, and gaining employee buy-in when scaling AI.</p><p class="p1"><strong>Chapter 3: Making progress compound over time</strong><br>AI programs don’t need large, multi-year programs to be successful. Making short, outcome-focused bursts of progress can add up to large transformations over time.</p>