Some details
The project’s goal was to streamline that decision-making process by creating an AI-based platform that would suggest the right courses by analyzing the requirements, career advancement opportunities, and historical data. Simply put, we wanted predictive models to help managers grow their dream teams and to help employees advance their careers.
Results
1. PoC built in less than 3 months
From the very beginning, it was important to validate the idea of implementing AI as quickly as possible. After the AI Sprint workshops, we agreed on the problem that we wanted to solve with predictive models and on the project scope. The next step was to deliver a product that would prove to be a solution to that problem that is worth to invest in.
The Proof of Concept that we’ve built using the data provided by the Client has met their expectations, being able to suggest the right course recommendation for their employees. As the models can learn with every new data record they get, their suggestions are more and more accurate every day.
2. Hours saved by streamlining the process
The platform was able to streamline the process that previously required a lot of decisions to be made both by the employee and by the manager of a chosen department. Now, the platform is able to suggest the right courses that would support managers in growing their dream teams and help employees advance their careers. The managers are able to see their teams’ development in a visual way and quickly assess what skills are missing, while employees get course suggestions as a clear list of recommendations – just like the way they get movies recommendations on Netflix.
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