We want to leverage the latest technology to gain an advantage in our market. We would like to collaborate with students to strategically apply AI and machine learning in our organization. Through using internal (Azure AI) and open source data (Tensorflow) analytics models, methodologies, and machine learning tools, we hope to get an end-to-end machine learning solution.

Students should be prepared to:

• Identify and present an opportunity within our organization, which AI could be applied.
• Develop a unique machine learning solution, based on the the latest technology.
• Create a report that provides an in-depth overview into the AI solution.

A few areas of specific interest for us include:

• Search Recommendation Engine (Imagine you are looking for content and you do not know the name of it, part number you only have a few tags)
• Content Recommendation Engine (Our clients use vablet as presentation tool, what content should be shown next, or email as part of a follow/up)
• Email Recommendation Engine (which files when emailed are being engaged with. We track open, clicked on duration, much more).
• Image Recognition (very specifically, is the image just taken a close of up an Eye and is the Sciera in focus)

Our data is currently captured and stored in SQL Server, and can be exported to CSV or can be pulled via an API.

People talk about AI Powered Sales - Typically this means that the software is making content recommendations, this is our goal as well. This is a complex task because we only know part of the data. We know what content was shown, emailed, but to determine if the presented content actually resulted in the closing of a deal, you need CRM data. We have access to some CRM data but not 10K rows.

Introduction to the vablet platform, including training

Provided needed tools to develop and test

Weekly checkins

Architectural reviews

Access to subject matter experts.