Cut Complexity, Control Data: The Path To AI at Scale

AI investments are growing 52% year-over-year, with companies recognizing a six-month deadline to embrace the technology or risk losing market position. Despite spending millions, enterprises face challenges with architecture complexity and data control, leading to project delays that cost up to $42 million. Success requires consolidating tech stacks, establishing strong data governance, and encouraging safe experimentation—which increases production likelihood by 10% and reduces costs by 13%.