What are the most significant ways that AI is changing IT roles and responsibilities across your organization? What new skills are becoming essential that weren't priorities before?

Critical skill sets now include being a strategist with business context, intellectual curiosity, and change agility. The pace of change in AI requires professionals to experiment, learn, and adapt continuously.

Embedded teams of IT and business professionals are most successful. Combining technical and domain expertise leads to better solutions. Matrix teams working toward a common vision are effective, though supporting numerous pilot projects can be

We need to address culture and appetite for change. IT is now more involved in business transformation, with business analysts embedded in departments. Access to data and the ability to generate reports should be within departments, not just IT.

AI ethics is a new area for IT, with a lot of learning curves. ROI models and cost projections are also changing rapidly, which requires more in-depth modeling.

In highly regulated industries like pharma, it’s not always easy to leverage AI talent. The basics remain important, like understanding business processes, objectives, costs, and value. Leaders must be tech-savvy, able to read code, and critically evaluate AI solutions. Technical knowledge is essential.

Contract management is also important now, especially regarding data use for training models. Clauses may require removal of data if a contract ends, which is nearly impossible. Understanding the end-to-end chain of AI solutions, including inputs and contracts, is now necessary.