Working with AI

AI automation involves rules-based systems as well as machine learning systems.

AI engineers build rules-based systems using multiple if-then statements. They train machine learning systems on labeled data. The machine learning systems are able to detect patterns in this data that they then deploy to interpret unlabeled data. In the workplace, AI performs numerous functions, including:

• Predictions
• Recommendations
• Rankings (such as for sales leads)
• Finding specific information in a document
• Process automation

AI automation and augmentation in the workplace is already widespread and observable in many workplaces today. At Morgan Stanley, AI provides personalized recommendations for products and programs based on a client’s specific profile and portfolio. The financial advisor decides on the relevance of the prompts based on their personal knowledge of the client. This allows for more efficient communication with clients, since AI can effectively tailor recommendations to each client to a degree that human advisors would not have time to do. Advisors report that, with the help of the ...