John Roese on Prioritizing AI Projects with ROI: Dell's Chief AI Officer

The Paramount Importance of ROI in AI Projects

• 🎯 Return on Investment (ROI) is identified as the first and most important question when considering funding for any AI project.
• 💡 In the early days of Generative AI, enthusiasm led to many abstract ideas without clear business context.
• 🔑 For commercial entities, AI initiatives must align with desired business outcomes like profit, revenue, margin, or cost reduction.
• 🚀 Technology is only truly useful if it contributes meaningfully to the entity's success, whether that's commercial or educational.

From Abundant Ideas to Focused Execution

• 🧠 The initial excitement around Generative AI, particularly after the ChatGPT moment, led to an influx of theoretical uses.
• ⚠️ At Dell, approximately 800 Generative AI ideas were received from employees following a company-wide communication about the technology's importance.
• 🧩 A rigorous vetting process concluded that many of these initial ideas lacked grounding in reality or clear alignment with business objectives.
• 🗺️ The approach shifted from asking "where could we apply AI?" to "where should we apply AI?" by focusing on core business areas.

Identifying Core Business Needs for AI Application

• 📈 Dell focused on core areas such as supply chain, sales, services, and engineering to target AI applications.
• ⚡ The goal was to identify specific processes within these areas that AI could demonstrably improve, such as making sales teams more productive or enhancing engineering code quality.
• ✅ This strategic focus allowed Dell to move from ideation to production, implementing AI solutions that positively impact the business.
• 💬 The challenge for most companies is not a lack of ideas, but the difficulty in extracting and prioritizing where to start due to the sheer volume of possibilities.