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9 AM PT / 12 PM ET
Automated decisions are at the heart of your business processes. Join us for a one hour tour of Sparkling Logic’s SMARTS end-to-end, low-code/ no-code Decision Management Platform.
In this webinar we’ll show you how you can use SMARTS to capture, automate, and evolve your critical business decisions using data, machine learning, and business rules.
Through live demonstrations, you will learn how to manage your interactions with customers, manage risk and fraud, ensure compliance, and dynamically configure and price your products and services, and much more.
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9 AM PT / 12 PM ET
Why Migration Should be a Part of Your New Technology Evaluation Criteria
Digital transformation failure rates have been upwards of 70% according to the major management consulting firms. Lack of understanding by end users is often cited as a main contributor. In other words, in the context of operational decision-making and decision management, business analysts are often overlooked in the build vs. buy evaluation, selection, and migration process. Read More »
9 AM PT / 12 PM ET
If you are automating business strategies, and need visibility into how those decisions are taken, you should explore the capabilities under the Understandable Decision umbrella. On one hand, it provides traceability on your decision process. On the other hand, it allows for better communication and discussion within the team. Both critical aspects for a successful decisioning project.
In this webinar, we will focus on the definition of human-explainable decisions, share concrete use cases, and position Understandable Decisions in the context of Understandable AI. We will also review practical steps your organization can take when embarking on that journey. Read More »
Modern decision management is not only about elicitating knowledge internally, but also activating data. On the other hand, data science projects must be operationalized to go into production. For business analysts and ‘citizen developers’, rather than relying on different tools, SMARTS provides them with an all-in-one decision management platform that leverages data and ModelOps within the same interface and without leaving the platform. SMARTS gives these users the power of operationalizing predictive models without an ongoing need for IT beyond first installation or data scientists beyond delivering their models. Read More »
The DMN standard (Decision Model and Notation) has brought to decision management a notation that comes with a powerful underlying methodology. With DMN, business analysts think about the ultimate decision(s) in a structured way, starting from the the top-level decision into smaller sub-decisions. This iterative process is very friendly, and very easy to share with colleagues.
Since its inception, Sparkling Logic has fully supported the Decision Model and Notation (DMN) Standard. Read More »
Like any software, a decision management application goes through several releases that constitute its life cycle. Due to ever changing regulations and competition, companies must adapt their decisions. New data must be ingested, more powerful models must be imported, and new rules need to be added.
Whether you are a business analyst or a business user in the sectors of credit, insurance, and risk management, this webinar may interest you. Read More »
As part of the decision lifecycle, business analysts obviously start by authoring their decision logic. As they progress, testing rapidly comes to the forefront. How do you ensure that your decision logic is correct?
Decision logic is not software code. As a result, you can’t be satisfied with testing tools and techniques that software developers use. Testing decision requires a different approach, different techniques, and different tools. Granted, ensuring that your decision service can compile is useful. But, the end goal is really to ensure that your decision logic complies with your business objectives. Read More »
Rating engines, just like scoring engines, pricing engines, compensation calculations, claims payment calculations, and many other types of calculation engines, aim to calculate fees or costs. Besides this commonality, they also share some complexity on the fine prints.
For example, insurance underwriters and lenders alike manage pricing sheets, often in the form of a spreadsheet. More often than not, these spreadsheets can contain thousands or tens of thousands of rows. While runtime performance may be a concern, maintainability is certainly a priority. Furthermore, the pace of change requires additional tracking and management to roll these rates over disparate geographies.
Over the years, the implementation of a rating engine has relied on different technologies. As of today, the debate still continues: can you use business rules for a rating engine? The definitive answer is yes. Read More »