Digital Transformation Leadership

Many organizations are understandably hesitant to adopt gen AI applications, citing concerns about privacy and security threats, copyright infringement, the possibility of bias and discrimination in its outputs, and other hazards.

The key is to focus on soft ROI for initial AI projects, as this will steer your organization toward a sustainable, hard-ROI-oriented deployment of GenAI moving forward.

Firms are investing in AI at extraordinary levels. However, are they repeating the pattern set by digital transformation, investing ahead of learning?

Uncover the 11 major barriers to AI adoption and learn effective strategies to overcome them, enhancing efficiency and innovation in your organization.

As an era, ‘Big Data’ may be over, but its underlying value (and tensions) live on, even as organizations seek to make the leap to an AI future.

Find out what a chief artificial intelligence officer does and whether you need to add one to the C-suite to drive AI and generative AI value.

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.

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.

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.

There are six common roadblocks to proving business value with generative AI — and we’ll show you how to steer clear of each one.

Strategic alliances are a must for companies looking to build value from generative AI. But approaching them like traditional vendor arrangements won’t work.

Getting to scale requires CIOs to focus on fewer things, orchestrate a system of components, and get a handle of costs.

Leaders have to consider many variables with AI adoption, which can lead to pitfalls. Here are five to avoid.

Businesses are not asking if they should implement AI but how.

Enterprise organizations are not merely seeking point solutions; they are pursuing a comprehensive architectural overhaul that places AI at the core of their strategies.

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.

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.

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.