Decision Automation Industry Leaders Partner to Offer Free Training to Help Organizations Maximize Enterprise AI Efforts
Attendees will learn how to combine business rules and machine learning to optimize operations, reduce risk, and delight customers
CHICAGO–(BUSINESS WIRE)–InRule Technology®, provider of the leading decision platform for automating mission-critical business decisions, today announced a free online training session to help organizations better understand how to leverage business rules and machine learning to optimize operations while making decision logic easier to maintain and faster to update.
The session, titled Take your Digital Decisioning to the Next Level, will feature Decision Management Solutions CEO James Taylor and CTO Ryan Trollip. Taylor is a published author and recognized speaker on the topic of digital decisioning and decision modeling notation (DMN). Trollip has been leading decision management implementations for nearly two decades, including overseeing and building decision automation systems and products.
The presentation, which takes place on August 27, 2021, will explore how to combine business rules and machine learning to optimize operations—while making decision logic easier to maintain and faster to update. It will also teach attendees best practices for leveraging visual modeling techniques, including DMN, to effectively apply decision automation.
Attendees of the training session will learn how to maximize enterprise AI projects, including decision automation, by:
- Turning domain expertise into decision models that structure business rules, apply machine learning, and capture the right data for ongoing improvement
- Leveraging standards-based decision models for maintainable, scalable logic-driven algorithms, while designing effective simulation and test strategies
- Identifying opportunities for machine learning and how to operationalize those opportunities using decision automation for true ROI
Learn more or register to attend by visiting: https://inrule.com/resources/on-demand-webinars/online-training-take-your-digital-decisioning-to-the-next-level/
About Decision Management Solutions
Decision Management Solutions provides solutions and services that help organizations make more data-driven decisions by applying advanced analytics, artificial intelligence (AI), business rules, and supporting technologies. Creators of the DecisionsFirst™ approach to help clients reorient business processes to a focus on the decisions that must be made – rather than the data available or the systems in place, Decision Management Solutions serves a range of clients across insurance, banking, manufacturing, telecommunications, travel and leisure, health management, and retail. Decision Management Solutions is credited with being a co-submitter of the Decision Model Notation (DMN) standard and a contributor to the International Institute of Business Analysis (IIBA) Business Analysis Body of Knowledge® (BABOK) sections on decision modeling. Learn more by visiting: https://decisionmanagementsolutions.com/
About InRule Technology
InRule Technology enables enterprises to understand and automate decisions with unparalleled speed, agility, accuracy, and transparency. IT and business personnel rely on InRule’s Decision Platform to increase productivity, grow revenue, and enhance customer service. With its ‘author first’ approach, InRule empowers both technical and business rule authors to write and manage rules. Whether as a service or in-process, in a container or an offline mobile application, InRule allows organizations to execute decisions anywhere for extreme flexibility and scalability. More than 400 InRule User Community members across 40 countries depend on InRule to reduce development and change cycles by 90 percent for their mission-critical systems and customer-facing applications. InRule has been delivering measurable business, and IT results in high-performance environments since 2002. For more information, visit http://www.inrule.com/.
InRule and InRule Technology are registered trademarks of InRule Technology, Inc. All other trademarks and trade names mentioned herein may be the trademarks of their respective owners and are hereby acknowledged.
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