AI & ML Research 3 Hours

Last updated: April 27, 2026, 11:30 AM ET

Enterprise AI & Data Infrastructure

Enterprises confronting AI adoption are finding that the primary barrier is not model capability but the poor state of existing data infrastructure. For many organizations, integrating AI requires fundamentally rebuilding the underlying data stack to support the necessary scale and quality for meaningful machine learning deployment. This challenge is mirrored in operational planning, where reliance on legacy tools causes systemic inefficiency; one simulation demonstrated how a single forecast change cascaded through five planning teams, resulting in millions lost across retail supply chains due to the inherent friction between Sales and Stores departments reliant on outdated spreadsheet workflows.