Hi there!

In the afternoon of Monday, April 8, Sarita, the lead data analyst in a fintech company, received a new mission from her boss: Jump-start the firm’s AI strategy for 2024 – ASAP.

As her team was just mastering Python and Jupyter notebooks, the idea of incorporating generative AI into their workflow seemed like a tall order. Traditional uses of generative AI, such as chatbots and knowledge bases, weren’t a fit for Sarita’s company's product portfolio just yet.

On Tuesday, Sarita was enjoying her morning coffee when something grabbed her attention – a LinkedIn ad about how AI can be used for portfolio optimization.

Interestingly, the advertised blog post isn't about replacing the team’s quantitative analysts; it's designed to elevate their Python expertise. Imagine developing smarter code and gaining insights and analyses more quickly – all made possible with the help of an AI assistant.

Explore how an AI assistant can empower teams like Sarita's to excel in Python for finance, even if they're not Python experts.

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