AI Governance

processes for auditing AI systems and implementing error-correction mechanisms

Data Traceability

the origin and flow of data used by AI systems including "dead" data

Interoperability / AI Assurance

performance, scalability, and unintended consequences

Skills Development and Training

challenges of acquiring and retaining talent in rapidly evolving AI ecosystems

Multimodal Architecture Design

solutions within a framework of result-oriented, business-demanded delivery

Digital Mergers & Acquisitions

using advanced data sciences, ML, AI, and digital twin solutions