Our recent research into machine learning found that enterprises are bullish about AI adoption—expecting machine learning (ML) to influence many business operations in under two years. However, when it comes to execution, HFS observes a glaring chasm in implementing intelligent automation technologies. A lot of organizations have started with various automation tools—working through pilots, PoCs, and projects. However, planning and managing global deployments in production, beyond project work, is challenging.