Artificial intelligence: What the C-suite needs to know

Defining the appropriate organizational design with which to embed AI and data-driven decision-making across an organization is complex. Multiple challenges must be overcome to align AI with all parts of the organization, from engineering to customer-facing units, and to upskill the workforce effectively. Success – even at the level of specific AI project implementations – is not a given: executives need to understand new project execution risk factors (beyond usual ones such as change management challenges) that can lead to costly project failures. These may include very challenging data issues or difficulties from continuous risk management of the AI models deployed. This only covers half of the AI map for executives.