Tony Cahill, the mind behind Crystal Onyx, dives deep into why data readiness is the critical bottleneck preventing successful AI implementations and shares how his platform transforms months of data preparation into weeks. • Organizations struggle with data readiness when implementing AI projects • The AI project cycle consists of five steps: problem identification, data acquisition, modeling, output, and evaluation • 42% of organizations identify data availability and quality as a to...