Build answers to tough questions on AWS using hundreds of data sets from AWS Data Exchange

AWS Data Exchange makes it easy to find, subscribe to, and use third-party data in the cloud. Data scientists, data analysts, and developers in nearly every industry use AWS Data Exchange for access to 3rd-party data to drive analytics, train machine-learning models, and make data-driven decisions. Today, AWS Data Exchange contains over 2,300 data products from 120+ providers from a broad range of domains including healthcare, financial services, retail, and more. 

The AWS Data Exchange Challenge is an opportunity for you to show off your skills, learn something new, collaborate with other developers, and get a shot at part of $35,700 in prizes.  

You’re invited to build solutions to answer tough questions using 3rd-party data products from AWS Data Exchange.

The AWS Data Exchange catalogue is available globally with commercial data products from category-leading data providers across industries such as financial services, healthcare, retail, media & entertainment, and more. AWS Data Exchange includes hundreds of free data sets too, including data collected from popular public sources, as well as trials for commercial products so customers can explore before they subscribe. AWS Data Exchange removes the friction of finding, licensing, and accessing data, eliminating the need to receive physical media, manage FTP credentials, query syndicated data platforms, or integrate with different APIs from multiple providers. Once subscribed to a data product, entitled customers use a single AWS Data Exchange API to natively copy the data sets from any provider. Revisions are pushed to subscribers as they are published via CloudWatch events to ensure their automated workloads process the most current data.

While you’re free to use any available data provider, be sure to check out the challenge’s featured partners and data providers.

Featured Providers

Crux 
CSR Hub
Dun&Bradstreet
EDI
Experian
Facteus
Swarmode

View full rules

Prizes

$35,700 in prizes

Best in Data Visualization

• $5,000 USD
• $4,000 AWS Credits
• Meeting with AWS Data Exchange service lead
• Featured in AWS Blog Post
• Featured on select AWS social channels

Best in Data Analysis

• $5,000 USD
• $4,000 AWS Credits
• Meeting with AWS Data Exchange service lead
• Featured in AWS Blog Post
• Featured on select AWS social channels

Best in Data and Machine Learning

• $5,000 USD
• $4,000 AWS Credits
• Meeting with AWS Data Exchange service lead
• Featured in AWS Blog Post
• Featured on select AWS social channels

Best Healthcare Solution

• $1,500 USD
• $1,000 AWS Credits
• Featured in AWS Blog Post
• Featured on select AWS social channels

Best Financial Services Solution

• $1,500 USD
• $1,000 AWS Credits
• Featured in AWS Blog Post
• Featured on select AWS social channels

Best Retail Solution

• $1,500 USD
• $1,000 AWS Credits
• Featured in AWS Blog Post
• Featured on select AWS social channels

Honorable Mention (2)

• $500 USD
• $100 AWS Credits
• Featured in AWS Blog Post
• Featured on select AWS social channels

Large Organization

• Recognition only
• Featured in AWS Blog Post

Devpost Achievements

Submitting to this hackathon could earn you:

Eligibility

  • Individuals who have reached the age of majority in their jurisdiction of residence at the time of entry (most countries set the age of majority at 18 including the US, UK, Germany)
  • Teams of Eligible Individuals
  • Organizations
    (See full eligibility requirements in section 3 of the rules)

Requirements

Main Requirement: Build (or update) a data-driven solution that tells a story by employing at least one of the categories using: 

Categories:

  • Data Visualization
    A graphical representation of data through visual components such as maps, graphs, or other visual formats (e.g. tools that display trends or patterns).
  • Data Analysis
    Solutions that collect, interpret, and present data (e.g. tools that identify relationships or detect anomalies). 
  • Data and Machine Learning
    Solutions that use pre-trained models on AWS Marketplace and/or train machine learning models using a specific dataset (e.g. predictive analytics tools).

Bonus Prizes

Your solution may also fall under one of the following categories for a chance at one of the bonus prizes: 

  • Healthcare
    Solutions that help the healthcare industry, enhance ways to lower costs and improve the quality of patient care.
  • Financial services
    Solutions that help financial institutions manage compliance, mitigate risk, and modernize systems.
  • Retail
    Solutions that improve the retail experience such as tools around customer behavior, merchandise effectiveness, and sales promotion.  

Submit the following materials: 

  1. Demo video (hosted on YouTube, Facebook Video, Vimeo, or Youku). Your video should be around 5 minutes long and include a demo of your working application and include appropriate disclosure on the video or text description: #AWSDataExchangeChallenge.
  2. Repository access to your working application for judging and testing. Include a link to your repo hosting the code and all deployment files and testing instructions needed for testing your project. (Repositories may be public or private — if your repository is private, share access with testing@devpost.com AND user ID: adxhackathon2020.
  3. Submission form on Devpost before the deadline, August 24 at 5pm ET.

Judges

Submissions will be reviewed by a panel of qualified judges.

Submissions will be reviewed by a panel of qualified judges.

Judging Criteria

  • Quality of the Idea
    (Includes creativity and originality of the idea.)
  • Implementation of the Idea
    (Includes how well the idea was executed by the developer and the extent to which the underlying data was leveraged by the developer.)
  • Potential Value
    (Includes the extent to which the solution has the most positive impact for users and/or customers.)

themes

  • Machine Learning/ AI
  • Productivity
  • Social Good