Category: Management & Governance

In my previous blog, I shared how to evolve leadership for agentic AI using familiar mental models. As a CTO, I’ve been thinking about the corresponding architectural shifts required: We need to move from building predictable systems to developing autonomous capabilities that augment teams. Based on hands-on explorations and working with fellow technology leaders navigating […]

The exponential growth of enterprise data presents unprecedented opportunities for innovation, yet many organizations struggle to capitalize on it due to inadequate data governance. A robust governance framework is crucial for future-proofing and maintaining competitiveness. Effective data governance rests on four pillars: Data visibility: Clarify available data assets to inform decision-making. Access control: Balance accessibility […]

Balance security with innovation – seamlessly integrate compliance controls behind intuitive self-service capabilities to empower data-driven productivity and agility.

With AI’s rapid evolution, boards face multi-faceted risks requiring diverse oversight, technical expertise, agile risk-mitigation, clear values guiding deployment, and robust cybersecurity – proactively managing uncertainties while capturing AI’s transformative potential.

Many companies have found that a cloud center of excellence (CCOE) can accelerate their migrations to the cloud and broader digital transformations. These CCOEs take many forms, which is appropriate because each company has unique challenges to overcome. Nevertheless there are certain patterns and antipatterns for using a CCOE. In this blog post, I’ll try […]

We often advise AWS customers embarking on digital transformations to consider that cloud migration is part of digital transformation, and digital transformation must be driven by business outcomes. The effectiveness of your governance programs determines the success of your cloud migration and digital transformation. There will be an end to the cloud migration portion of […]