2021 NY Artificial Intelligence Healthcare Entrepreneurship Summit

Come join us for this interactive Artificial Intelligence Summit to learn about Machine Learning and how it is impacting healthcare!

AI Summit

The Artificial Intelligence Entrepreneurship Summit works to educate the next generation of technologists, innovators, and leaders. From researchers to entrepreneurship trailblazers, this Summit is a unique opportunity to interact with the leaders in the fields of healthcare and computer science from companies and research institutions across the country through workshops and panels. We will also be holding an AIdeathon, where students can submit business pitches for their ideas that utilize an AI technology to enhance the healthcare industry for a chance to win cash prizes!
Date
September 4th – September 5th, 2021
Registration Deadline
August 28th
AIdeathon Submission Deadline
August 21st

Summit Information

Who Can Attend

All students in grades 6-12, regardless of gender are welcome to attend!

How will the event be held?

The event will be held virtually due to the ongoing COVID-19 pandemic. After registration, participants will receive a link to the Zoom webinar.

Summit Schedule

Day 1

Opening keynotes – 9:00 – 9:30
Workshop 1 – 9:30-10:30
Stretch break 10:30-10:40
Workshop 2 – 10:40 – 11:40
Stretch break 11:30 – 11:40
Workshop 3 -11:40-12:40
Lunch break 12:40-1:10
Panel 1 – 1:10 – 2:10
Panel no. 2 – 2:10-3:10
Day 1 Closing Ceremony – 3:10-3:20

Day 2

Opening Keynotes – 9:30 – 10:30
Stretch break – 10:30 – 10:40
Workshop 1 – 10:40 – 11:40
Speaker 2 11:40 – 12:40
Lunch Break 12:40 – 1:00
Awards Ceremony – 1:00 – 1:30
Closing Keynotes 1:30 – 2:30

Speakers

Speakers

Oluwaseun Omotayo

Oluwaseun Omotayo

I am a Computer Science major, a Product Marketing Intern at Bandwidth Inc, and I just started volunteering with Neutrify as the head of their Digital Marketing Team.

College Panelists

Tiffany Yu

Tiffany Yu

Tiffany Yu is a Management Consultant at Kaiser Permanente, where she focuses on utilization optimization process improvement, and innovation for the largest health plan in California. Tiffany is also currently pursuing a Master of Science in Clinical Informatics Management from Stanford University School of Medicine. Previously, Tiffany served as a distinguished fellow for the National Institutes of Health and U.S. Department of Health and Human Services. Tiffany is
passionate in improving health outcomes and quality of life, with past advocacy work centered in minority health, food security, Asian American mental health, and female leadership. She is nationally recognized as a Forbes Under 30 Scholar and a rising Gen-Z changemaker. Tiffany graduated cum laude from UC Berkeley with Bachelor’s Degrees in Data Science and Public Health with a Certificate in Entrepreneurship and Technology. In her free time, she enjoys visiting art museums and trying new restaurants in the Bay Area.

Rules and Registration

Once you submit your registration, you will have access to a form where you can submit your innovative idea. You don’t need to implement your project, just create an entrepreneurship plan, presentation, and speech to deliver at the event.

Project Questions

In the Entrepreneurship Plan, participants will need to answer the following questions:
1. What is your innovative product/service?
2. What problems is your product/service designed to solve?
3. How is your product/service innovative and different from other products/services intended to solve the same problems?

In the Entrepreneurship Pitch, participants will need to address the following areas (5 minutes):
1. Product need and what problem it solves
2. Market size for the product
3. What the product does and its features. How does the product use AI?
4. Competitive analysis (how is the product different than other products)
5. Product demo, screenshots, or pictures, if applicable
6. Future vision for the product

Let’s Change Together!

Your support will help us to make emerging technology education accessible to all students, regardless of gender, race, or socioeconomic status.

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