Sparkling Logic Launches Interactive Decision Tree Modeling in SMARTS™

SUNNYVALE, Calif. - EntSun -- Sparkling Logic today announced the launch of Interactive Tree Model, a new component of the SMARTS™ decision management platform that allows users to interact with data to build, test, and deploy decision trees.

A decision tree is a type of machine learning which maps out possible consequences in a tree-like fashion with nodes and branches. In automated decisions, decision trees are especially beneficial for organizations that want to leverage machine learning in the context of business and regulatory constraints. Use cases include prescreening, fraud detection, and credit scoring in financial services, underwriting and claims processing in insurance, and marketing channel optimization across industries.

Embedded in the SMARTS™ decision management platform, Interactive Tree Model allows decision trees to be added into any automated decision project and follow the same testing, deployment, and management cycle. Once added, users choose the algorithm type and build out the nodes in an interactive manner. At each node, Interactive Tree Model will automatically provide branching recommendations which can be further customized according to the user's goals.

More on EntSun News

• Who plays xs in the flash and which episodes has her? "Schway!"
• Frankie Blair Stars in "Disturbing Intentions: Good vs. Evil," Coming to Amazon Prime & Tubi Oct. 24
• Zero-Trust Architecture: NJTRX Addresses 60% of U.S. Investors' Custody Security Concerns
• Sub-Millisecond Trading Platform: HNZLLQ Introduces Unified Gateway for Philippine Digital Asset Traders
• $2.1B Theft Losses: Bitquore Launches 1M+ TPS Platform with 95% Offline Asset Protection for U.S. Traders

To improve predictive power, Interactive Tree Model can ingest large amounts of training data and handle complexity such as having multiple target variables. In addition, decision trees can be used in conjunction with any decision logic representation that SMARTS™ supports, including lookup models, scorecards, and other predictive models. As a result, organizations can balance predictability, explainability, and compliance in a completely transparent manner.

"Deployment and managing business constraints are the most common issues preventing businesses that we come across from leveraging machine learning effectively," said Jihae Hwang, VP of Data Science at Sparkling Logic. "Interactive Tree Model provides a simple path for business analysts to not only simulate, experiment, and fully deploy decision trees into their automated decisions but also explicitly refine machine learning results according to evolving business requirements."

Sparkling Logic will host a live demo on March 21. Learn more and register here.

More on EntSun News

• Ecko Unltd & Nexxlegacy - New Arrivals
• P4 The Network is Officially Launched
• Cold Released on Vimeo Before Moving to Streaming Channels
• America Anesthesia Partners Unveils New User-Friendly Website
• Hiclean Tools Releases HCX2100 Electric Pressure Washer

About Sparkling Logic

Sparkling Logic Inc. is a Silicon Valley-based company dedicated to helping organizations automate and optimize key decisions in daily business operations and customer interactions in a low-code, no-code environment. Our customers include global leaders in financial services, insurance, healthcare, retail, utilities, and IoT.

SMARTS™ by Sparkling Logic is a modern, enterprise-level, application-agnostic, decision-management platform that enables non-technical analysts and SMEs to easily manage business-critical decisions, whether explicit or AI-driven, with minimal IT resources.

Learn more at www.sparklinglogic.com.