Self-learning Systems
Design and develop self-learning systems using reinforcement learning and evolutionary learning techniques
Type
Domain
Competency Area
Stakeholder and Contract Management
Levels
Analyse, articulate intelligence (AI) technologies in the area of business process automation and optimisation
Analyse business drivers and main application areas of IPA
Create automation applications using RPA as an integration tool between different enterprise applications
Create virtual workers for productivity without increasing actual workforce and/or hiring
Create automation applications with remote enterprise applications
Automate data processing and extraction from image documents
Deploy enterprise-scale automation applications
Manage IPA project lifecycle
Create business automation applications using cost-saving robotic automation tools and AI tools
Create digital ‘virtual assistants’
Evaluate industrial IPA use cases
Build and deploy adaptive software robots in hardware and devices in different application areas
Determine the best practices for building autonomous software robots
Plan the processes to design and build software robots
Define the technical requirements needed for the sofware robots
Construct fully functional software robots
Validate the design of the software robots
Introduce new and/or best practices in the design and planning of the software robots
Gather feedback on the performance of the software robots
Review the cording, testing and design criteria
Optimise the performance of the software robots during and after deployment
Design and develop self-learning systems using evolutionary learning techniques
Apply the concepts and algorithms of reinforcement learning
Identify the requirements for self-learning systems
Build deep reinforcement learning systems
Build model-based reinforcement learning systems
Build evolutionary learning systems using evolutionary computation techniques to solve optimisation problems
Assess the system performance and suggest possible improvements