Incorporating AI into products or building AI solutions doesn’t require you to be a data scientist but you must become comfortable speaking the language of your technical team. Otherwise it becomes challenging to translate customer needs into tasks, provide meaningful updates, or help customers interpret AI model outputs.
Coming from a non-technical background myself, I faced a steep learning curve, but through a lot of trial & error I gained the understanding I was looking for.
I have taken the approach I used & formalized it such that anyone can follow it. My hope is this presentation will give those interested in entering the AI space a sense as to how they can upskill such they can add value to their projects without it being overwhelming.
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Session Details
Type of Session: Presentation
Presented By
Dhruv Alexander
Passionate about the intersection of analytics and business. Currently lead an internal consulting team at GP focused on applied AI and Products. Most recently, have been leading Supply Chain efforts at GP around Demand Forecasting & Inventory Optimization. Prior to my current role, I spent time as a consultant focused on leveraging data science to solve business problems for Fortune 500 clients across various domains.
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