Digital Transformation Leadership

Using AI to boost productivity is unlikely to create a sustainable advantage. The real value from AI will lie in reshaping offerings, business models, and market structures before competitors do.

Value creation in an AI-first enterprise becomes continuous rather than episodic. AI-first leaders measure dynamic outcomes such as adoption, trust, growth and learning, enabled by adaptive, self-improving systems.

As organizations reinvent for the AI era, business leaders say they’re moving toward a new enterprise technology operating model. Here’s how to get started.

Digital transformation involves using new technologies like AI and cloud computing to drive growth, streamline operations and increase competitive edge.

Leading a customer-experience (CX) transformation requires a new mindset and a new way of operating.

How can companies navigate this era of dramatic change in purpose, vision and decision-making mind-set resulting from digital technologies and digital operating models?

Realities on the ground highlight what’s really needed to pull off the transformation.

It's time for a business to embrace new ways of working, new systems and while sometimes a one site fits all set of processes can create efficiency, this also needs to be tempered with what processes will give you combative advantage.

Organizations must transition from superficial AI experimentation towards integrated operating models that deliver measurable impact.

New McKinsey research shows how organizations can update their operating models so they can close the gap between strategy and performance.

Companies have moved quickly to implement GenAI, but many may be celebrating too early, before achieving measurable benefits. It’s time for a focused approach.

AI doesn’t have to be an existential threat to business models. Wharton’s Scott Snyder and co-author Hamilton Mann explain how to integrate AI in a way that reaps benefits for all stakeholders.…

Fragmentation forces require a global IT architecture and operating model that is modular, standardized, and configurable to support local differentiation.

A review of transformations across industries reveals a common theme: Successful transformations realign the organization to a singular vision; failed endeavors typically do not.

To keep up with the future digital leaders must invest in a very specific set of core capabilities and view IT as a core differentiator.