Yimei has been a driving force for applying AI and machine learning at Morgan Stanley in three critical ways: digital transformation, innovation, and as a champion for diversity.

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What was the opportunity you sought to address with AI?
There is an enormous amount of data in the financial industry that can be harnessed to deliver value for the business and for our clients. AI and machine-learning solutions have the potential to generate insights, improve client experience and increase organizational efficiency. For example, we are using predictive modeling to deliver relevant investment insights to our clients; we are optimizing the search experience in our Research portals with machine learning and natural language processing so clients can find the right information in the least amount of time; and we built a virtual assistant to provide quick answers to routine questions.

What are some of the key things that you’ve learned?
There are considerable opportunities to use AI and machine learning to extract meaningful data from vast amounts of unstructured data and generate business signals. The key success factor is the close partnership among domain experts, data scientists and data engineers. Business domain knowledge is essential as machine-learning models are very specific to each industry. Off-the-shelf vendor products will not be accurate for the financial industry. It’s critical that these products are open, and that models can be re-trainable with industry-specific data.

What advice would you give to the next generation of women as they enter the workforce?
My advice is to be curious. Curiosity is key to understanding the world around you and to ensure that you continue to evolve professionally. Whether it’s starting a new job or embarking on a new project, you need to be open to navigating new cultures, listening to diverse view points, and taking new approaches.

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