Implementation of new technologies is always complex. The product with new technology can be purchased from third party or can be developed in house. Training is a key for both cases. Implementation of third party required a lot of training to technical operations to understand how properly maintain this. Developing in house requires a training for development team. Absence of such training can be a complete disruption for implementation of third party product or unavailability of moving forward in house development.

Change Management, if we think about the process inside technology operations , would be just a process to control any change in the enterprise production system. So implementation of new technology rarely can be affected by it I think.

However, if we think about implementation of AI/Machine learning inside of this process especially in enterprise system, the impact can be huge. For example, shortlisted change requests with maximum impact on the system, preliminary rejected change requests would help with the load of Change management Board and will simplify the decision.

New digital technologies , machines become increasingly able to perform tasks that previously only humans could to. Production processes and organizations are changing, new products, services and business models emerge. These trends have important implications labour markets. The recent technological change has had little effect on the aggregate number of jobs but leads to significant restructuring of jobs. This implies digitisation induces shifts in skill requirements, and workers’ fate in changing labour markets crucially depends on their ability to keep up with the change.