Inspiration
Help STELIA Decision Makers Manage On-Time Delivery (OTD) Delays
What it does
Assums a Hidden Model that Generates Milestone Dates and use advanced Data Science Methods to predict Lags
How we built it
Built 2 ML models: Regression (using Python Pandas) and Deep Learning (RNN, using TensorFlow). Built a Predix app (OTD-Predixing) that's integrated with these models
Challenges we ran into
Data Credibility – Industrial Data Understanding the TRUE business need Tight Schedule
Accomplishments that we're proud of
In short time We got good prediction results We understood the business need in a good manner and predicted more insightful corollaries
What we learned
What's next for Technion
Collabaration between STELIA and the Technion institute
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