Edvantis collaborated with a talent technology vendor to build a custom, predictive Artificial Intelligence (AI) model from scratch within a fixed budget and timeframe.
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Service
Fixed-price Project
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Industry
Human Resources
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Location
Canada
Challenge
Our client, an emerging talent technology vendor in the Americas, aims to develop a unique AI product Retain that measures employee engagement based on collected data.
The company established criteria for determining user engagement & retention and collected test data. As a next step, they approached Edvantis to create a custom, predictive AI model. Based on the relevant datasets, the model would automatically measure employee loyalty, retention, and engagement levels.
Team Size and Composition
Analyzing the client’s requirements and project needs, we assembled a data science
team that could swiftly deliver a high-quality, thoroughly tested AI model. The team
consisted of the following roles:
- Team Lead
- Data Science Experts
- Python Engineers
- IT Operations Specialists
Technologies Used
Python, Microsoft Azure, Flask
Solution
As part of the engagement, Edvantis was responsible for team composition, optimal technology stack, methodology selection, and on-time delivery according to fixed scope and budget. Here are some of the milestones we achieved:
- Operationalized and analyzed the available data sets, detailing and structuring the client’s internal Information Infrastructure.
- Designed a custom predictive model that forecasts employee satisfaction levels based on their daily interactions. Applying complex statistical models, we developed an AI solution that predicts employee loyalty, engagement, and retention.
For a guaranteed on-time and on-budget result, Edvantis recommended a fixed-cost project service model. Within 3+ months, the client received a robust AI model that they could apply to their user base. We ensured that each phase of the project complied with development best practices, testing guidelines, and security standards.
