NEW! – Preparing for AI Adoption

Organizations across public and private sectors are looking to harness the promise of AI; improving efficiency, automating processes, and supporting better decisions. At the same time, many are realizing the risks of applying AI to file data that has accumulated over decades, with unknown quality, incomplete classification, and uncertain sensitivity. Left unchecked, this can result in flawed models, systematically inaccurate decisions, and exposure to regulatory and operational risk.