Digital Transformation Leadership

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

Cost uncertainty and AI data leak fears have CIOs rethinking cloud strategies in the coming AI era, with a hybrid mix the likely long-term solution for balancing experimentation, cost control, and data security.

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

Embark on your digital transformation journey with confidence by learning about the top cybersecurity pitfalls 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.

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

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

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

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.

Generative AI is not the only initiative that can transform your company in the coming year. Addressing operational gaps and building up new digital leaders can also be force multipliers.

Should your company be betting on AI as a growth strategy now? How do you distinguish genuine opportunities from speculative fads and make an informed decision on whether AI is your next big bet? In this article, the authors cover five steps to help your company answer this question. After thoughtful analysis, your decision ultimately boils down to this: Does the current state of AI align with your business strategy? If it does, the investment in this tech wave could propel your business to new heights.

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

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.

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?

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

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.

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.

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

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