Digital Transformation Leadership

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.

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

An inclusive culture is now a must for companies that want to meet talent, performance, and productivity objectives. Five moves can help leaders accelerate the process of turning around their cultures.

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.

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.

To thrive in this new landscape, organizations and individuals must take two strategic actions to adapt now.

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.

Too often change management is treated as a post-DX add-on. Instead, drive change preemptively by injecting user-centric change practices into your digital development and delivery workflows.

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

Digital transformation in large enterprises is complex and multifaceted, but it doesn’t have to be an overwhelming prospect.

Aligning leadership skills to an organization’s needs can accelerate results and build trust with key stakeholders.

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.

Getting your team to accept, and even embrace, change is vital for IT success. IT leaders who have mastered the art of leading through change share their advice on this essential leadership skill.

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.

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