Cognitive technology also has downsides, including the following :
* Security challenges. Cognitive systems need large amounts of data to learn from. Organizations using the systems must properly protect that data -- especially if it is health, customer or any type of personal data.
* Long development cycle length. These systems require skilled development teams and a considerable amount of time to develop software for them. The systems themselves need extensive and detailed training with large data sets to understand given tasks and processes.
* Slow adoption. The slow development lifecycle is one reason for slow adoption rates. Smaller organizations may have more difficulty implementing cognitive systems and therefore avoid them.
* Negative environmental impact. The process of training cognitive systems and neural networks consumes a lot of power and has a sizable carbon footprint.
