In the AI era, many business applications which consider themselves “intelligent” cannot simply execute a complex rules-based transaction and wait for the next one. To become really “intelligent” applications, they should be able to learn from already executed transactions, accept new facts as they become available, and, when necessary, they should make changes in their own execution logic. These stateful applications should be able to support both decisioning and behavioral rules, validate and propagate changes in the states of involved business entities, and finally “connect the dots”.
In this presentation, we will describe an ingenious architecture that supports the creation and continuing development of such intelligent, perpetually running applications. This proposed architecture utilizes the modern pub/sub tools with continuous data streams and state machines, allowing subject matter experts to define and maintain behavioral and decisioning rules. We will demonstrate the architecture by using several real-world scenarios.
Learning Objectives:
- How to develop “live” intelligent applications
- How to define both behavioral and decisioning rules
- How to validate and propagate real-time changes
The use of decisions and processes to structure and detail business knowledge is a good way to develop requirements. The goal of the session is to share and discuss experiences in designing complex decisions between processes in real projects using BPMN and DMN. To accomplish this, we will first demonstrate how a modeled process helps to model the decisions it contains and when it is better to break away from these process dependencies. Secondly, we will show how the decisions build their own perspective on the business knowledge and talk about the important role of the business object. Lastly, we will share some of the experiences in dealing with specialist groups.
Learning Objectives:
- Requirement Engineering with Process and Decision
- Dependencies between process (BPMN) and decision (DMN)
- Process and decision as different views on the specialist modelling
- The importance of the business object
China’s awakening in Decision Management came with a new set of challenges. To begin with, the volume of credit requests has reached new heights that dwarfs the volumes we have historically seen around the world so far. Velocity is playing a leading role, driving the need for elastic architectures of another dimension. Last but not least, the rapidly changing business landscape brings new opportunities to refine strategies through new and diverse data sources.
In this presentation, we will share Xinshu Credit’s experience leading the charge. In particular, we will cover:
- Decision Service Architecture that scales
- Guidelines for digesting quickly volumes of data sources
- Modern technology blueprints for elasticity
- Lifecycle Management best practices for ultimate performance
Attendees Will Learn:
- About Architecture guidelines for decision management projects
- How to improve system performance
- How to manage decision lifecycle
Decision modeling using DMN is a creative and analytical activity focused on describing the requirements and structure of operational business decisions. It produces artifacts easily consumed and leveraged by both business and technical audiences.
Decision modeling comprises both Decision Requirements Diagrams and business logic, typically (but not always) represented in decision tables. We will touch on the role of decision tables in the elicitation and development of DRDs, but will be primarily focused on the visual aspect of decision modeling.
This presentation introduces practical and effective decision modeling techniques intended primarily for Business Analysts and others who are either curious about this visual approach or who are eager to be unleashed upon the craft.
Examples shared will be drawn from real-world experience on actual financial services, healthcare, pharmaceutical, manufacturing, retail, military, or government projects.
Learning Objectives:
- What decision modeling is and how it fits into the big picture
- Why decision modeling returns such a high value for the level of effort required
- How to create effective decision models and how to make impactful use of them
In a technical world dominated by discussions of serverless, APIs, and microservices, we’ve reached an inflection point that will form the basis of the next wave of technology evolution. However, to take advantage of these advances, we must rethink the way we build, manage and deploy applications. Decisions will play a key role in this revolution.
This presentation will focus on the DMN and BPMN standards and their integration with industry data standards to enable a powerful approach to handling Fintech and Regtech using the mortgage industry (MISMO) as a case study. We believe that “decisions as a service” will become a primary delivery model and facilitate the creation and deployment of powerful APIs and microservices. Decisions enable a business-driven approach to development and deploying the capabilities as services will enable consumers to get custom automation. This is imperative in industries like financial services where the only constant is change.
Learning Objectives:
- Integration of business and technical standards
- True service-based based environment using APIs and microservices
- Setting the table for other emerging technology – blockchain, AI, etc