Leaders today are under a lot of pressure—pressure to reduce costs, to drive revenue and, increasingly, to demonstrate how they are leveraging AI to achieve these goals.
It’s not an easy ask. AI technologies are evolving rapidly. They’re learning and changing all the time, with new enterprise solutions, new models, new data and new use cases emerging daily. This makes agility an imperative as technical and non-technical leaders seek the highest-value use cases for the new technology within their companies.
At the same time, the sheer volume of decisions a leader has to make in this space can be overwhelming. Where should they apply their energy? Are they going to build or buy? Which tools should be deployed internally now to drive efficiency? Should they invest in partnerships, and what degree of investment in appropriate? And how do they prioritize AI tool adoption against other business goals?
To answer these questions and quickly move to adopt new technology across the enterprise, many companies lean on a top-down approach, with executives identifying the top areas the company should apply AI and telling their organization what is coming. Others take a hands-off approach, allowing for innovation, agility and employee- or team-determined need. But while most organizations choose one approach or the other, the real value comes from a balanced strategy that combines elements of both.
Read the full article on insideAI News.
