How can leaders adapt a leadership style congruent with our time, regardless of the industry they lead?

Billions of dollars will be wasted on AI over the next decade. If that sounds like a contrary take, it shouldn’t.

It is up to leaders to bridge their knowledge of AI’s potential with any concerns that their employees may hold.

Achieving competitive differentiation with AI — and staying ahead of commoditization — requires accompanying business transformation.

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

Generative AI helps companies reduce costs, create workplace efficiencies and improve the customer experience. A recent report from EXL shows how to put your AI strategy into operation.

A recent study shows that the cloud benefits the IT department more than other business areas. That’s not enough to make it a success.

The launch of GenAI represents great promise and significant risks. Here is a five-point framework to steer you through the turbulence and capture value.

AI represents an entirely new way of thinking about the way software is built and consumed.

Generative AI can bring a host of ideas—and a critical “outside the box” perspective—to teams working through the innovation cycle.

There are several things organizations should keep in mind when tackling their own digital transformation.

CIOs need to keep in mind value, independence, connectivity, and extensibility when evaluating tech trends.

Commonly, many AI projects fail for the same reason digital transformation projects fail.

An INSEAD survey offers insights on who will benefit from AI, how attitudes differ in Europe, America and Asia, and when the AGI future will arrive.

From process automation to personalized customer experiences, AI offers a myriad of benefits that businesses can leverage to stay competitive.

The most exciting aspect of information systems research is the chance to dig deep into the social and technical aspects of emerging technologies.

The power of DTOs comes from how they let you make decisions based on predictions of the future instead of past events.

As an entirely new position, many companies are unsure of how to hire for or leverage the role of chief AI officers.

In an era of technological advancements, geopolitical tensions, and economic turmoil, standing still is akin to moving backward. As the durability of competitive advantage has dwindled, the average tenure of companies on the S&P 500 index has more than halved since the late 1970s.

Businesses that prioritize generative AI use cases can maximize their value capture, speed, and efficiency.

Before jumping into an AI strategy, organizations need to ensure that their architecture can support AI applications, and that means modernizing that underlying architecture.

Innovations in automation, cloud computing, big data analytics, and AI have not only changed the way businesses operate but have intensified the demand for specialized skills.

The integration of AI into every aspect of business operations isn't a distant future. It's happening now.

There are a few critical factors leaders might overlook that can hurt their digital transformation efforts.