## Complex Infrastructure Hinders AI According to a recent study commissioned by DDN, in partnership with Google Cloud and Cognizant, more than half of AI projects have been delayed or canceled in the last two years. The primary cause lies in the complexity of the infrastructure required to support these projects. ## Training and Smart Use Cases: The Key to Success The report suggests that the solution to this problem lies in two main factors: more in-depth training of the enterprise workforce and the development of more targeted and effective use cases. Investing in team preparation and focusing on concrete applications of AI could unlock the potential of these projects and overcome infrastructural difficulties. Artificial intelligence is rapidly transforming various sectors, but its effective implementation requires careful planning and a solid infrastructural foundation. Overcoming these challenges is crucial to fully exploit the benefits offered by AI.