Digital Transformation Leadership

Emerging leaders are pursuing bold AI strategies guided by customer needs and the right balance between speed and risk management.

When the times get tough, the tough get innovative and create paths to future growth.

Companies can leverage digital twins in a way that delivers significant value today--while building the engine for the enterprise metaverse of tomorrow.

The biggest obstacle is that most of these organizations don’t own their clients’ information, making reselling unviable.

Each addition to the digital healthcare ecosystem benefits current users and encourages adoption among others. Even today, direct impacts are becoming apparent.

For artificial intelligence to deliver value across the organization, banks need core technology that is scalable, resilient, and adaptable. Building that requires changes in six key areas.

The potential of digital banking transformation will fall short if investments do not align with known strategies for success.

Large companies have found that applying the principles of lean is more complicated than expected.

It is almost a decade now since Apple launched its App Store, created a new developer ecosystem and accidentally changed the way business gets done. I say accidentally because Apple was initially reluctant to open up its iPhone to third party developers. The decision to open up has gone down in some poorly written histories as a masterful strategic move but in fact it was the developer community itself that demanded the opportunity

In 2024, enterprise leaders are doubling down on their genAI investments. 16 developments for founders to keep in mind to capture this new opportunity.

A crisis is a terrific catalyst for innovation. When things are going smoothly, it’s easy to nod and agree to a concept like this; however, this belief can easily go out the window when the wheels are coming off a venture you’ve built from the ground up.

Technologies like 5G, artificial intelligence, and low and no code software design tools are changing how companies need to approach innovation. Specifically, they look to the edge of the organization where the business interfaces with its customers, suppliers, and other stakeholders, and where small-scale innovations are happening.

The irony of AI is that it is a master of complexities and newbie of generalities.

Why young and exciting businesses must innovate or die

To keep complex, business-centric, transformative initiatives on track, companies must let go of dogmatic approaches and create a balance between the startup world and the corporate world.

Disruption should not be the do-or-die strategy for startups, but a considered choice.

If you are not focused on creating a startup culture that inspires innovation, you could get stuck in the present, soon to be past.