The Technology Behind Data Products

Technology for deploying scalable machine learning-based products otherwise known as data products.

Contact us

The Technology Behind Data Products

Technology for deploying scalable machine learning-based products otherwise known as data products.

Fill out form to continue
All fields required.
Enter your info once to access all resources.
By submitting this form, you agree to Expero’s Privacy Policy.
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.

Data Products are the scalable, reproducible outcomes of a data science workflow. Deploying data products takes different technology than deploying traditional software products, as data products are founded both on code and data. Versioning, integrating, delivering, and deploying products based on a constantly changing foundation like data requires that you have a way to version data sets, training artifacts, and collect user feedback data in order to automatically trigger machine learning updates in a fully adaptive environment.

Organizations need these tools and processes in order to deliver the value data science teams create to end-users. Join us for a detailed description of how to implement data products and realize ROI from your data science teams.

User Audience

Services & capabilities

Project Details

Technologies

January 22, 2020

The Technology Behind Data Products

Technology for deploying scalable machine learning-based products otherwise known as data products.

Data Products are the scalable, reproducible outcomes of a data science workflow. Deploying data products takes different technology than deploying traditional software products, as data products are founded both on code and data. Versioning, integrating, delivering, and deploying products based on a constantly changing foundation like data requires that you have a way to version data sets, training artifacts, and collect user feedback data in order to automatically trigger machine learning updates in a fully adaptive environment.

Organizations need these tools and processes in order to deliver the value data science teams create to end-users. Join us for a detailed description of how to implement data products and realize ROI from your data science teams.

User Audience

Services

Project Details

Similar Resources

Expero CoNNected Financial Crimes

Recent events have created increased focus on Financial Crimes attacks as well as Cyber, AML, and fraud attacks that are growing in sophistication creating losses in the billions. This session will identify how to reduce false positives by 60%, increase accuracy by 70% and improve overall team productivity by 80% with Expero CoNNected software that bolts onto current on premise technology.

Watch Demo

Cyber and Graph Analytics

  • Cyber & Malware Fraud Avoidance
  • Graph Algorithms & Boolean Logic
  • Advanced Visualization
  • Real Time Intervention
Watch Demo

A Fraud Series - Part Two: Adapting Technology to Fight Fraud

This post looks at the different technology approaches and adaptations to finding and detecting fraud, and the technology behind Expero's Fraud Product.

Watch Demo

Fight Cyber Crime and Fraud With Graph & ML

During this webinar, TigerGraph and Expero will discuss how to visualize cyber threat information using Graph & ML, and how new technology can help Financial Services team fight cyber fraud.

Watch Demo