Going from Pilot to Deployment with AI - 4 Factors to Consider

While overt AI "flops" are less common than they were three years ago, the pattern of failure for AI projects is still much the same. Assessing project opportunities and having the right expectations about AI's adoption challenges is paramount to converting pilots into actual deployments. Especially for firms new to artificial intelligence, it's crucial to demonstrate progress and success with AI early on – in order to win approval, confidence, and additional budget to expand AI efforts productively. Nothing builds confidence like actually putting an AI application into production. These kinds of small wins are exactly what an AI catalyst needs to achieve in order to deliver actual transformative impact with AI. Because of this, assessing AI projects by their likelihood to reach deployment can be a useful lens – particularly for companies early in their AI journey and unaccustomed to the iteration and experimentation that AI requires. The remainder of article has been transcribed from one of our live sessions of the Catalyst Advisory Program.