This article in American Banker suggests that employees interacting with AI models should be trained on data science so they are better prepared to identify errors in the execution of the AI models. The article also suggests that cross departmental training on data science can also enhance communications in general and help identify new opportunities to deploy AI:
“So, how can corporations best facilitate this type of cross-collaboration among developers, risk management and line of business to ensure AI success?
An internal analytics training platform is one method that can be both cost effective and produce immediate results. Corporations already spend thousands of dollars each year sending a mere handful of employees to AI-related conferences. But they can multiply existing resources by creating a stage for the company’s top data scientists to educate other employees through monthly “lunch and learns,” a 12-week data science course that meets weekly or an internal rotational program. For little to no additional cost, data science courses through online learning platforms like Coursera, DataCamp and Edx can be paired alongside these internal training efforts to enhance learning and facilitate conversation.
Conversation across business units is one of the tertiary benefits of analytics cross-training, and it is also critical to AI success. When employees network, they learn information that can be used to save a company time and resources, like the existence of a duplicate technology that could be decommissioned, or an AI tool that could be better leveraged to serve additional business needs, or simply the existence of a person with the expertise or skills to take a project to completion.
Regular analytics training, collaboration and conversation needs to be part of the culture of the company. The success of an internal training platform depends on executive sponsorship and management’s recognition of those individuals that set aside their time to both organize and teach the classes as well as participate in them. Instead of perpetuating corporate silos, which create rigid barriers to new technology adoption, companies to should reward and encourage employees to share information about new knowledge, tools and processes.”
Overview by Tim Sloane, VP, Payments Innovation at Mercator Advisory Group