Pachyderm Case Studies Epona Science: Revolutionizing Horse Racing with Pachyderm

Edit This Case Study Record

	Epona Science: Revolutionizing Horse Racing with Pachyderm Pachyderm

Epona Science: Revolutionizing Horse Racing with Pachyderm

Pachyderm

Technology Category	Analytics & Modeling - Machine Learning Platform as a Service (PaaS) - Data Management Platforms
Applicable Industries	Agriculture
Applicable Functions	Product Research & Development Quality Assurance
Use Cases	Machine Condition Monitoring Predictive Maintenance
Services	Data Science Services System Integration
Challenge	Epona Science is a company that specializes in buying, breeding, and identifying the best racehorses in the world. The racehorse business is a traditional industry where buyers often rely on pedigree or trusted breeders' instincts to choose horses. However, Epona Science believes that these are not the best predictors of success. They aim to revolutionize the industry by using machine learning, statistical analysis, and science. They have discovered that factors such as the horse's entire genetic profile and lineage, its height and gait, and even the size of its heart can make a significant difference in its performance. However, gathering all this data, cleaning it, standardizing it, and getting it into a consistent format that their machine learning models can train on is a significant challenge. The data comes from various sources worldwide, including x-rays, genetic profiles, and track records from previous races. Read More
About Customer	Epona Science is a company that specializes in the horse racing industry. They focus on buying, breeding, and identifying the best racehorses in the world. With every thoroughbred being a multi-million dollar investment, the stakes are high. Epona Science aims to revolutionize the traditional horse racing industry by using machine learning, statistical analysis, and science. They believe that factors such as the horse's entire genetic profile and lineage, its height and gait, and even the size of its heart can make a significant difference in its performance. Epona Science is committed to providing buyers and breeders with the best information possible to give them an edge in picking the next legendary champion. Read More
Solution	Epona Science chose Pachyderm to help them deal with their data challenges. Pachyderm stood out for its ability to handle everything from data lineage, data transformation and versioning, to containerization. The platform's versioning and provenance tools allow Epona's team to roll backwards and forwards, looking at what changed, when, and why. This is crucial for their sensitive models, as they often need to conduct a detailed forensic analysis to figure out where the model went wrong so they can fix it quickly. Pachyderm also offers more flexibility than alternatives like Airflow, which are more rigid and not designed for Kubernetes first. The platform allows Epona to easily string together a series of independent and isolated tools into a smooth pipeline. This has changed the way they do business, as they had to run everything in isolation in the past. Now, their model development throughput is effectively continuous. Every single model they have and every sample, especially genetics samples, runs through the pipeline, gets tested, and uploaded to the website in minutes. Read More Log in to view content
Contents

Technology Category

Analytics & Modeling - Machine Learning

Platform as a Service (PaaS) - Data Management Platforms

Applicable Industries

Agriculture

Applicable Functions

Product Research & Development

Quality Assurance

Use Cases

Machine Condition Monitoring

Predictive Maintenance

Services

Data Science Services

System Integration

Challenge

Epona Science is a company that specializes in buying, breeding, and identifying the best racehorses in the world. The racehorse business is a traditional industry where buyers often rely on pedigree or trusted breeders' instincts to choose horses. However, Epona Science believes that these are not the best predictors of success. They aim to revolutionize the industry by using machine learning, statistical analysis, and science. They have discovered that factors such as the horse's entire genetic profile and lineage, its height and gait, and even the size of its heart can make a significant difference in its performance. However, gathering all this data, cleaning it, standardizing it, and getting it into a consistent format that their machine learning models can train on is a significant challenge. The data comes from various sources worldwide, including x-rays, genetic profiles, and track records from previous races.

About Customer

Epona Science is a company that specializes in the horse racing industry. They focus on buying, breeding, and identifying the best racehorses in the world. With every thoroughbred being a multi-million dollar investment, the stakes are high. Epona Science aims to revolutionize the traditional horse racing industry by using machine learning, statistical analysis, and science. They believe that factors such as the horse's entire genetic profile and lineage, its height and gait, and even the size of its heart can make a significant difference in its performance. Epona Science is committed to providing buyers and breeders with the best information possible to give them an edge in picking the next legendary champion.

Solution

Epona Science chose Pachyderm to help them deal with their data challenges. Pachyderm stood out for its ability to handle everything from data lineage, data transformation and versioning, to containerization. The platform's versioning and provenance tools allow Epona's team to roll backwards and forwards, looking at what changed, when, and why. This is crucial for their sensitive models, as they often need to conduct a detailed forensic analysis to figure out where the model went wrong so they can fix it quickly. Pachyderm also offers more flexibility than alternatives like Airflow, which are more rigid and not designed for Kubernetes first. The platform allows Epona to easily string together a series of independent and isolated tools into a smooth pipeline. This has changed the way they do business, as they had to run everything in isolation in the past. Now, their model development throughput is effectively continuous. Every single model they have and every sample, especially genetics samples, runs through the pipeline, gets tested, and uploaded to the website in minutes.

Impact #1	Epona Science's model development throughput is now effectively continuous. Every single model they have and every sample, especially genetics samples, runs through the pipeline, gets tested, and uploaded to the website in minutes.
Impact #2	In 2020, they processed 10,000 new photos in a month, a significant increase from the previous year when it took a year to process that many pictures.
Impact #3	With autoscaling, they can leave a cluster on stand up and build it up as needed. They no longer need to launch a mega instance, run the job, debug it, and remember to turn it down.

Impact #1

Epona Science's model development throughput is now effectively continuous. Every single model they have and every sample, especially genetics samples, runs through the pipeline, gets tested, and uploaded to the website in minutes.

Impact #2

In 2020, they processed 10,000 new photos in a month, a significant increase from the previous year when it took a year to process that many pictures.

Impact #3

With autoscaling, they can leave a cluster on stand up and build it up as needed. They no longer need to launch a mega instance, run the job, debug it, and remember to turn it down.

Benefit #1	Increased model development throughput to effectively continuous.
Benefit #2	Processed 10,000 new photos in a month in 2020, compared to a year for the same number of pictures in the previous year.
Benefit #3	Significant cost savings through autoscaling, eliminating the need for launching and maintaining a mega instance.

Benefit #1

Increased model development throughput to effectively continuous.

Benefit #2

Processed 10,000 new photos in a month in 2020, compared to a year for the same number of pictures in the previous year.

Benefit #3

Significant cost savings through autoscaling, eliminating the need for launching and maintaining a mega instance.

Download PDF Version

Overview

Epona Science: Revolutionizing Horse Racing with Pachyderm

Operational Impact

Quantitative Benefit