Welcome to HackRice 9
Welcome to HackRice 9
Hugh O’Reilly
George Dyre
Schedule
Friday, September 20
Saturday, September 21
Sunday, September 22
More info at hack.rice.edu!
Logistics
Hacking Logistics
Logistics (cont.)
The RMC
Communication
Where to go for information?
Mentoring
Tracks
First Timers Track
Data Science Track
Ethics Track
Design Track
More info at hack.rice.edu!
Company Challenges
Airport Recommendation Challenge
Chevron’s real-time work order scheduling optimization
Background: Chevron has large scale operations and complex process facilities (refineries and liquified natural gas production facilities). Scheduling work orders on these facilities with differing repair requirements, specialized technicians, and potentially hours of drive time between locations can be difficult.
Challenge: Build a work order tracking system that tracks (1) the work orders that are submitted and (2) the technicians that are completing them to optimize how technicians are assigned and work orders are completed. Knowing where technicians are, what they are certified/qualified to repair, how long they are planning to being there, other work orders in the same or nearby location, etc will be invaluable in being able to dynamically schedule and dispatch existing and new work orders to technicians at the beginning of the day and while onsite. Updating each technician with their schedule of work orders can be done through any means of mobile technology, SMS, call, mobile app, etc.
The detailed file contains details on the following:
Facility – number and location
Equipment – failure rates, time to fix, facility location and number
Workers – names, equipment certifications, shifts
Work Orders – 30 examples
© 2019 Chevron Corporation
22
JPMorgan Chase “Best Hack for Social Good”
PRIZE
Bose SoundLink Wireless Headphones
(1 per winning team member)
Hack on any social good topic that you’re passionate about!
If you don’t have a specific idea, you can consider one of the below social good themes:
JPMORGAN CHASE JUDGING CRITERIA
Projects will be judged based on the following criteria:
©2019 JPMorgan Chase & Co. All rights reserved. J.P. Morgan is an equal opportunity and affirmative action employer Disability/Veteran.
Two Sigma is an investment manager that uses data science�and technology to derive insights that forecast the future of markets worldwide.
Our most potent discoveries stem from research and the scientific method, so we focus on continuous innovation
We love learning from others, and we want to see what you can do in the data science space. We’ll award a prize for the best use of data analysis, data science, or big data technologies.
For illustration purposes only. Not an offer to buy or sell securities. There is no guarantee that Two Sigma or its products will be successful in achieving any or all of their investment objectives. Moreover, all investments involve some degree of risk, not all of which will be successfully mitigated
24
The Bill.com API Challenge
Our mission is to make it simple to connect and do business. What are some outside the box ways to leverage technology to simplify the lives of business owners?
We challenge you to reimagine our user experience by embedding Bill.com everywhere.
To open up the playing field and encourage outside the box thinking, we have brought in home devices, smartwatches and tablets as options to build hacks for.
What are we looking for?
The winning teams will get to choose from the devices we have brought in to take home.
Capital One
Best Financial Hack
How Will You Reimagine Banking?
$250 Amazon Gift Cards To Each Member Of The Winning Team
Facebook Challenge:
Best Algorithmically Complex App:
We challenge you to put the skills Luay has taught you to good use.
Oculus Gos will be awarded to the team that utilizes a non-trivial algorithm or AI as part of their application to create value for users.
While external libraries and services may be used to aid your app, we will only evaluate the components of the app created by your team.
Judging Guidelines
Criteria (1 0f 2)
Criteria (2 of 2)
Prizes
More prizes include…
HackRice General Prizes
Track Prizes
Raffles
How this is gonna work
Forum Contest
Sponsor Presentations
Everything You Need to Know:
hack.mlh.io
Hey! I’m Maria from
Major League Hacking!
Like us on Facebook fb.com/MajorLeagueHacking
Follow us on Twitter @MLHacks
What is
Major League Hacking?
The Official�Student Hacker Community
135,000+ student hackers�just like you!
You’re earning�points for your school.
Best way to earn points?�Bring your friends!
What is MLH doing�this weekend?
Take a break from hacking with our Werewolf Mini-Event!
4:00 Saturday @
Farnsworth
Collect Your Official�2020 Season T-Shirt!
Request these devices and more at the MLH Hardware Lab!
Presented by
hack.mlh.io/hardware
Snag the GitHub Student
Developer Pack!
hackp.ac/github
Get up to speed with our
GitHub Starter Kits
hack.mlh.io/learn
Draw an Octocat, Win an Octocat!
To Enter, Tweet at�@GitHubEducation #MyOctocat #EventHashTag
See what’s possible
with Google Cloud.
Check your email to redeem
$100 in Google Cloud credits.
hackp.ac/learncloud
Get a FREE .space, .tech, or .online domain with Domain Privacy!�hackp.ac/domain
Use UiPath to build out your automation hack
hackp.ac/uipath
Seamlessly integrate APIs and services you already use
hackp.ac/transposit
MLH Event Prizes
Best Domain Registered with Domain.com�Domain.com Backpacks
DDC
Best UiPath Automation Hack
UiPath/MLH Backpacks & DROCON Drones
Ui
Best use of Transposit
$50 Amazon Gift Card
TP
Best use of Google Cloud
Google Home Mini
GC
Social Media Contest with Domain.com�Domain.com Swag Bag
DDC
Show off your hack to get an�“I Demoed” sticker!
Fight tired with hungry!
FREE Awake caffeinated chocolate!
Come see us at the MLH table!
hackp.ac/careers
Check out the MLH Career Lab!
On a Serious Note...
mlh.io/code-of-conduct
MLH Hackathons are a Safe Space�for Everyone.
Email: incidents@mlh.io
Phone: +1 (409) 202-6060
Thanks Again to All Our Partners!
sponsor.mlh.io
Technology ignites our business�
©2019 JPMorgan Chase & Co. All rights reserved. J.P. Morgan is an equal opportunity and affirmative action employer Disability/Veteran.
We invest�$11+ billion �in technology each year
80% �of Fortune 500 �companies do business with us
Over�50,000�technologists
©2019 JPMorgan Chase & Co. All rights reserved. J.P. Morgan is an equal opportunity and affirmative action employer Disability/Veteran.
Apply Now to Code for Good: jpmorganchase.com/codeforgood
Code for Good Event Dates
Sep 20-21: Chicago, IL
Sep 27-28: Jersey City, NJ
Sep 27-28: Wilmington, DE
Oct 18-19: Columbus, OH
Oct 18-19: Dallas, TX
JPMorgan Chase “Best Hack for Social Good”
PRIZE
Bose SoundLink Wireless Headphones
(1 per winning team member)
Hack on any social good topic that you’re passionate about!
If you don’t have a specific idea, you can consider one of the below social good themes:
JPMORGAN CHASE JUDGING CRITERIA
Projects will be judged based on the following criteria:
©2019 JPMorgan Chase & Co. All rights reserved. J.P. Morgan is an equal opportunity and affirmative action employer Disability/Veteran.
Get to know us this weekend
©2019 JPMorgan Chase & Co. All rights reserved. J.P. Morgan is an equal opportunity and affirmative action employer Disability/Veteran.
Technology ignites our business
jpmorganchase.com/techcareers
©2019 JPMorgan Chase & Co. All rights reserved. J.P. Morgan is an equal opportunity and affirmative action employer Disability/Veteran.
BILL.COM CONFIDENTIAL |
70
Bill.com at a Glance
BILL.COM CONFIDENTIAL |
71
Leading SaaS Payment Management Platform for Businesses
Recurring revenue: Subscriptions and Usage Based
Raised $275M in Equity Capital to date from leading investors
Founded in 2006,
based in Palo Alto, with over 450 employees
~70K customers
3M+ network members
$75B in annual payment volume
Engineering Team
Locations
The Team
Bill.com + Rice
Our Mission:
Make it simple �to connect and do business
Bill.com: Simple, fast, and secure
BILL.COM CONFIDENTIAL |
75
Receive bills directly via online inbox
RECEIVE
Paperless
View and approve bills online from any device
APPROVE
Automated
Enable e-payments and simply click
"PAY"
PAY
Efficient
Business Payment Workflow Platform
Invite coworkers, vendors, and customers
COLLABORATE
Connected
Current Experiences
API Challenge
Be authentic, passionate, dedicated & humble
And don’t forget to have fun
BILL.COM CONFIDENTIAL |
78
Thank you
Schlumberger
80% to 90% is spent gathering and cleaning
the data not building models.
Google estimates the time lost to 75% across industries.
TIME SPENT ON DATA SCIENCE PROJECTS
LIBERATE YOUR DATA
Building models
Gathering data
SCALABILITY
Scalability across assets �or equipment is low
TIME
Time to deployment is lengthy �and costly
THE BEST WAY TO BEGIN:
CLEAN, COLLECTED, CONTEXTUALIZED DATA
OTHER CONTEXT
MAINTENANCE LOGS, ERP DATA
3D MODELS
PIPING AND INSTRUMENTAL
EQUIPMENT HIERARCHY
SENSOR METADATA
SENSOR DATA
CONTEXTUALIZED DATA
PROVIDES MORE EMPOWERING INSIGHTS
OTHER CONTEXT
MAINTENANCE LOGS, ERP DATA
3D MODELS
PIPING AND INSTRUMENTAL
EQUIPMENT HIERARCHY
SENSOR METADATA
SENSOR DATA
OTHER CONTEXT
MAINTENANCE LOGS, ERP DATA
3D MODELS
PIPING AND INSTRUMENTAL
EQUIPMENT HIERARCHY
SENSOR METADATA
SENSOR DATA
OTHER CONTEXT
MAINTENANCE LOGS, ERP DATA
3D MODELS
PIPING AND INSTRUMENTAL
EQUIPMENT HIERARCHY
SENSOR METADATA
SENSOR DATA
OTHER CONTEXT
MAINTENANCE LOGS, ERP DATA
3D MODELS
PIPING AND INSTRUMENTAL
EQUIPMENT HIERARCHY
SENSOR METADATA
SENSOR DATA
OTHER CONTEXT
MAINTENANCE LOGS, ERP DATA
3D MODELS
PIPING AND INSTRUMENTAL
EQUIPMENT HIERARCHY
SENSOR METADATA
SENSOR DATA
CONTEXTUALIZED DATA
PROVIDES MORE EMPOWERING INSIGHTS
WE MAKE YOUR DATA
ACCESSIBLE AND MEANINGFUL
FOR HUMANS AND MACHINES
INTERNS WORK WITH
ACTUAL
PRODUCT DEVELOPMENT
GE Healthcare
Rice Hackathon
94
September 20, 2019
Experiment Results
Data Annotation
Data Ingestion
Inferencing
Worklist Prioritization
Confidential. Not to be copied, distributed, or reproduced without prior approval.
Innovations at GE Healthcare
September 20, 2019
David Becker
GM, Global Product Development
Rajan Patel
PM, HealthCloud DataLake
Confidential. Not to be copied, distributed, or reproduced without prior approval.
Confidential. Not to be copied, distributed, or reproduced without prior approval.
Schlumberger Challenge!
From classical statistical methods to real-time constraint optimization, Bayesian neural networks, and reinforcement learning, Schlumberger uses Machine Learning to gain maximum insight from huge volumes of data. Our challenge for you: use Machine Learning to solve a problem of your choice. We will grade you on your idea, your implementation, and the amount of fun you had hacking!
Final Reminders
Enjoy the event!
Thanks to everyone that helped us out!
Thank you to all of our Sponsors!