Edge Computing and distributed AI: where to run each workload
How to decide whether an AI workload should run in the Cloud, at the Edge or on-device based on latency, data volume, connectivity, continuity, mobility and available resources.
September 29, 2026
Data Governance as the hub connecting every discipline
Data Governance is evolving with AI: from its central role in DAMA-DMBOK to AI-ready data, agent governance, semantic models and human oversight
September 24, 2026
Adopting AI is not about buying it: the mistakes holding back transformation (and how to avoid them)
Companies invest millions in Artificial Intelligence licences, yet most projects fail not because of the technology, but because of poor adoption. These are the key steps for bridging the gap between having AI and actually working differently because of it.
September 9, 2026