Tag: governance

AWS recently partnered with Harvard Business Review Analytic Services to understand the current state of agentic AI in organisations.1 The results were exciting and informative: While expectations are high, the path to value at scale has yet to be discovered. Outlined below is what we found creates the gap between appreciating AI’s importance and using […]

Supply chain managers understand inventory reconciliation. Compliance officers know audit requirements. Marketing teams grasp campaign workflows. What if they could build their own enterprise applications directly from that expertise? This isn’t theoretical. Citizen development tools like Kiro replace traditional coding with natural language specification. Business users describe what they need in plain English, and Kiro […]

As an Enterprise Strategist, I’ve noticed that discussions about multicloud are often marked by confusion and contradictory advice. Some advisers warn against adopting a multicloud strategy, while others suggest that you will miss an industry-wide transformation if you don’t. There are legitimate reasons for and against multicloud strategies; success depends on balancing potential business value […]

As organizations deploy generative AI technologies, they face challenges including lack of expertise, fragmented governance, unclear accountability, and immature tooling—issues that can be addressed through an integrated framework of governance mechanisms, repeatable processes, and embedded safeguards.

Your stakeholders expect you, as a technology leader in life sciences, to master generative AI, implement next-generation sequencing platforms, and deploy digital twins for clinical trials—all while accelerating innovation, increasing delivery speed, and managing costs. And of course you have to do this with your existing team. Just don’t forget to maintain flawless system uptimes […]

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.

When leading strategic initiatives, executives are often tasked with bringing on new partners or negotiating new contracts to drive critical business outcomes. Whether you’re onboarding a key technology vendor, a manufacturing partner, or a strategic consulting firm, you need to manage the often competing priorities of various internal stakeholders. Three of the most crucial—yet frequently […]

One of the most common sources of org debt is the knee-jerk reaction. Every time something goes wrong, we immediately jump to create a constraint to prevent future mistakes. So we institute a new role, rule, or process. As a result over a decade or two, a one-step process becomes twenty steps. Or five different […]

The emergence of generative AI has brought about transformative possibilities and the potential to benefit how we work, live, and interact with the world. However, it is crucial to recognize the responsibility that comes with such powerful technology. When I speak to executives today, there is a lot of enthusiasm and excitement to get started […]