Contact Person
Holger Schloesser
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M.A. Holger Schlösser
Business Unit INNO
+49 30 3463-7367

Prof. Dr. rer. nat Adrian Paschke
Business Unit VISCOM
+49 30 3463-7228

FOKUS-Akademie
iStock/Andrea Zanchi

Automate and Simplify Business Rule Changes

Training “Introduction to Automating Business Rules with semantic AI”

Business rules are everywhere. Every day, employees make business-critical decisions that are linked to specific processes and rules, In many companies, Business Rule Management Systems (BRMS) are used to simplify the administration and automation of business and decision logic. Here, the use of semantic rule technologies is an obvious option. Their advantage in automating business rules is that users use semantic AI technologies to express what they want, while the responsibility for interpreting that knowledge and deciding how to do it is delegated to an automated rule engine.

Semantic rule languages have been extensively researched in recent decades in the field of semantic knowledge representation and expert systems of Artificial Intelligence (AI) and have matured in various rule standards and BRMS / BPM tools. They also support a current AI trend ranging from pure management of business rules to automated, knowledge-based business decisions and actions. This semantic approach addresses an urgent need that companies today have: Easily change business rules and decision logic to respond quickly and adapt to a dynamic business environment, overcome the restrictive nature of slow IT change cycles, and make fully or semi-automated machine logic and business decisions.

This course provides a basic introduction to semantic knowledge representation and logic-based artificial intelligence reasoning technologies as the basis for semantic rule languages and an overview of standards for business rule management and decision modeling.

Topics:

  • Basics of semantic Knowledge Representation
  • Data, Information, Knowledge, Intelligence
  • Knowledge Representation
  • Propositional Logic
  • Predicate Logic
  • Rule-Based Technologies – Introduction and Outline
  • Business Rules and Decision Models
  • Semantic Rules Technology
  • Derivation Rules
  • Production Rules
  • Reaction Rules


Trainer

Since 2008 Prof. Dr. rer. nat. Adrian Paschke is head of the Corporate Semantic Web group (AG-CSW) at the institute of computer science, department of mathematics and computer science at Freie Universität Berlin (FUB). He also is director of the Data Analytics Center (DANA) at Fraunhofer FOKUS, director of RuleML Inc. in Canada, and professorial member at the Institut für Angewandte Informatik (InfAI) at University of Leipzig. He also was associate professor at the department of information systems at the Poznan University of Economics (PUE).

He received his Dr. rer. nat. from the Technical University Munich (TUM) with a thesis on “Rule-based IT Service Management and Service Level Agreements” (RBSLA). His academic carrier has let him to the Ludwig Maximilian University Munich (LMU), the Friedrich Alexander University Erlangen/Nuernberg (FAU), the Technical University Munich (TUM), the National Research Council (NRC) in Canada, the Technical University Dresden (TUD) and its Biotec Innovation Centre Dresden. He also was associate professor at the department of information systems at the Poznan University of Economics (PUE) and visiting professor at University of Toronto and McGill.


Course Details

Duration: 1 day
Format: classroom event
Language: German/English
Location: Fraunhofer FOKUS, Berlin
Participation fee: € 950,00

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