$50K MACHINE LEARNING GIVEAWAY

$50K for 50 Years

It's not every year a tech services company turns half a century. To celebrate, SPR is doing what we love most – offering technology services. And even better, doing it for free. Have an idea for a machine learning project? We’d love to hear it.

APPLY
arrow down

In honor of SPR’s 50th anniversary, we’re donating $50,000 worth of machine learning (ML) services! Our goal is to support our SPR communities – Chicago or Milwaukee – by partnering with a local organization who thinks that implementing an ML-based solution could make a significant, positive impact on their organization and the community. Machine learning (ML) is an important emerging technology that trains computer systems with data to perform a particular task and give an accurate result. 

Drawing on our more than 15 years of data science and engineering experience and our deep expertise in custom software development, SPR helps clients unlock the predictive power of their data, empowering organizations to make more informed decisions more quickly, automate processes and workflows, and redirect time and energy to other work. Our collaborative and strategic professionals help companies overcome some of the biggest roadblocks to successful AI and ML projects and create and deploy secure, scalable and reliable models.  

To learn more about SPR’s ML capabilities, visit our data and ML pages. 

Example uses for ML

Predict the future

Use historical data to build models that predict future outcomes

Find commonality

Identify clusters that have something in common, or normal/anomalous distinctions, such as segmentation and categorization

Understand sentiment

Analyze text, images of documents and handwriting to interpret, translate, and identify sentiment and key word analysis

Find what's different

Detect outliers in your data or in video or images

Detect things

Use computer vision to identify faces or objects and detect anomalies

Giveaway Timeline 

  • Entry form opens: October 1, 2022 
  • Entry form closes: November 15, 2022 
  • SPR phone interviews finalists: week of December 5, 2022  
  • Winner notified by: December 15, 2022
  • ML project starts: Q1 or Q2 2023 

How to Enter 

To enter, a representative from your organization must fill out all the fields in the giveaway form by November 15, 2022.  

Requirements and Details 

  • Organization may be non-profit or for-profit. 
  • Organization must be willing to partner with SPR to publicize the project. This may include PR, case studies, videos, etc.  
  • Organization must prioritize the project. For example, provide internal resources as necessary, have executive sponsorship, and co-invest in the project provided the scope is greater than 50K worth of services. Winning organization will need to provide subject matter experts to work with SPR team. 
  • Project must run on AWS’s cloud platform and use AWS ML services. 
  • Data quality and quantity is often key to a ML project’s success. The organization must have the adequate data needed to pursue the intended project. 

Machine Learning Case Study

Machine Learning Case Study

From agriculture to medicine, from insurance to industrial applications, applying ML techniques can unlock capabilities never before possible.

Apply Here

Landing: ML Giveaway

  • Please describe your company.
  • Please describe the machine learning opportunity you’d like to explore with SPR.
  • Please describe the current state of this initiative.
  • Please describe the data you intend we'd use for the initiative.
  • This may be a co-investment opportunity depending on the scope of your intended project. How much is your organization willing to invest in this project aside from SPR’s $50,000 donation?
  • MM slash DD slash YYYY
    When ideally would you like to start this project? Do you have an ideal end date in mind?
  • Please describe your organization’s internal team that would be supporting this initiative.
  • This field is for validation purposes and should be left unchanged.

Ball
Oi
Ecolab
IDEX
AON
Siemens