Blog

AI tools are now deployed at 73% of organizations, but only 7% have reached governance that enforces security and policy in real time, and that gap continues to widen as adoption accelerates faster than the controls meant to manage it. Closing it is less a matter of adopting better tools than of rethinking how the work...

Most AI initiatives fail not because of poor algorithms, but because of broken data foundations. While your organization may already have a data pipeline in place, traditional systems built for business intelligence simply can’t handle what AI demands – real-time streams, unstructured content, vector embeddings, and continuous model retraining.  For technology leaders across Japan, Korea,...