Main Article Content
The scope of Artificial intelligence is expanding with today's technology. Organizations collaborate with holistic functions rather than isolated processes. As a result, AI can build teachable systems that can both evaluate content and take action. AI also make it easier for systems to pair and collaborate with one another. This is an excellent starting point for new and exciting opportunities. The present study focused on the adoption of AI and influencing factors in the effective implementation. The study has considered the convenient sampling method for the collection of primary data from the employees, who have gone through the training with the AI in the organization. The study has considered the Technology adoption model to understand the usability i.e. perceived ease of use and intention to adopt the AI with the support of statistical method of SEM. The study applied the machine learning statistical method of Neural network to identify the influencing factors for the effective implementation of AI in the IT companies for the training and development. The study result indicate that AI will make an employee adopt the AI and learn the usage, which will help them to take new decisions and plan for projects and will enrich the employee’s development.