Project Title: Business Development (AI Product)

Company A

Details
Project Title Business Development (AI Product)
Project Topics Data Management Growth Strategy Marketing Product Design & Development Research & Development
Skills & Expertise
Project Synopsis: Challenge/Opportunity
The AI-Sole is an AI-powered wearable system that fits inside regular sneakers and enables accurate, affordable measures of ambulatory function (walking/running) in controlled and real-life environments. At the core of the technology are machine learning inference models that leverage previously collected data to reduce measurement errors, thereby producing highly accurate estimates of spatial, temporal and kinetic gait parameters even when using affordable, mid-level sensors. The AI-Sole technology has gone through several validation studies with healthy individuals and diverse clinical populations. The system is now ready for commercialization through the creation of a new startup. The ultimate goal of this semester-long project is to make this startup idea ready for the investor pitch.
To achieve this goal, the student team will need to: Understand the technology/product: connected wearables and “smart” footwear Understand the market: two potential markets for the application of this technology are clinical research market (pharma, academia), and consumer market (sports, fitness). Understand the industry: study existing strategies, services, data infrastructures and regulations/policies related to Smart Wearable Devices and Digital Health Understand the customers: inform decisions on the best go-to-market strategy. Understand the investors: identify who are the right investors to pitch to Team Responsibilities: Identify customers (e.g., interviews, customer data mining, etc.) and create customer profiles in each market. Propose go-to-market strategy. Research competitors and conduct industry analysis (e.g., Porter Five Forces) Run SWOT analyses and develop business strategies Make financial projections and propose financing strategies Draft a business model canvas and business plan based on the research activities Prepare materials for a potential investor pitch Team Member Qualifications: Familiarity with common machine learning techniques for IoT technologies and connected wearable devices. Familiarity with common platforms and cloud technologies to share and process personal data remotely. Strong interpersonal skills and the ability to interact well with all levels of management Team player with the ability to build productive relationships Business writing and presentation skills Knowledge of project management Strong technical skills in Microsoft Office and data visualization tools
Project Synopsis: Activities/Actions Required
Project Synopsis: Expected Results

Project Timeline

Touchpoints & Assignments Date Type

Welcome, Spring 2022 Applicants!

Jan 12 2021

Application Launch for Spring 2022 Projects

Jun 12 2021

Resume Upload for Spring 2022 Projects

Jun 12 2021 Submission Required

Program Kickoff

Feb 14 2022 Event

Final Peer Evaluation Due

Apr 05 2022 Evaluation

Final Self Evaluation Due

Apr 05 2022 Evaluation

Deadline for Spring 2022 Projects

Jun 01 2022

Mid-Term Town Hall Presentations

Jul 03 2022

First Day of Classes

Teams Finalized & Sudents Notified

Reminder of Confidentiality

Temp Check #1 Due

Evaluation

Temp Check #2 Due

Evaluation

Final Town Hall Presentations

Teams

Team Name  Project Name  Team Members 
No Teams Available