(Panel) Return on Technology: Measuring the Success of AI, XR & Digital Twins

While there are dozens of examples of companies using AI, XR, and digital twins today, justifying investment in new technology amid economic volatility and workforce upheaval can be challenging. In this session, enterprises share real metrics and best practices for defining, testing, tracking, and demonstrating the business value of next-gen technologies. 

• What does success look like? Assessing and measuring different types of ROI, including quantitative and qualitative (ex. employee wellbeing, job satisfaction, engagement, etc.) ROI
• Choosing the right POC to minimize upfront costs and generate compelling data
• Methods for testing and tracking KPIs like time to proficiency, task completion, retention, etc. and capturing end user feedback
• Costs (hardware, software, content, system integration, energy, etc.) vs. total economic impact on the business (projected time and cost savings)
• Strategies for proving the business case to senior leadership 
• Managing expectations: When can you expect to see results? 
• Importance of internal champions and organizational trust