InRule Technology delivers workflow automation to democratize AI and machine learning
InRule Technology, an intelligence automation company, is adding AutoML within xAI Workbench, the company’s suite of machine learning modeling engines.
“For organizations seeking to empower non-data science staff to build machine learning models, the code-free AutoML workflows within xAI Workbench make building and deploying highly performant machine learning models fast, safe, and accessible,” said David Jakopac, Ph.D., vice president, Engineering and Data Science, InRule Technology. “By extending the power of machine learning beyond data scientists and developers, xAI Workbench AutoML furthers InRule Technology’s vision of making automation accessible across the enterprise.”
Incorporating AutoML (automated machine learning) into xAI Workbench allows enterprises to scale the use of machine learning throughout the organization with confidence.
By providing a guided, no-code model-building process, AutoML helps users solve machine learning challenges faster, using fewer resources, while reducing the risk of human error and increasing the accuracy of predictions, according to the vendor.
AutoML workflows empower citizen data scientists, including business analysts and other subject matter experts, to create, train, and deploy powerful machine learning models.
For data scientists, AutoML streamlines the model creation process. Additionally, AutoML provides data scientists with automation and reusability that allows quick delivery of prototypes and iterative improvements using model explainability that reveals areas of model weakness.
xAI Workbench enables teams to develop a wide variety of machine learning models at massive scale. The suite of modeling engines provides solutions that deliver any combination of similarity search, classification, clustering, and recommendation.
xAI Workbench enables fairness through awareness with built-in bias detection features designed to help enterprises quantify and mitigate potential risk, according to the vendor.
For more information about this news, visit www.inrule.com.