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Evolving Nature of Intelligent Automation
The evolving nature of Intelligent Automation requires constant review and assessment. Research, discovery, collaboration and experimentation will present unique opportunities for growth.
StructuredSpectrum Of WorkUnstructured
Deterministic Tasks
Automation
Robotic Process Automation (RPA)
Optical Character Recognition (OCR)
Intelligent Character Recognition (ICR) (ML 1.0)
Efficiency Focused
- Business Process Automation
- Automated Incident Resolution
- Contract Data Digitization
- Automation of Workflow
Predictive Tasks
Discovery
Monitoring
Data Cleansing
Data Ingestion
Analytics
Predictive Analytics
Problem Management Analytics
Big Data
Reliability Focused
- Incident Elimination through Monitoring
- Predictive Maintenance on Machines
- Financial & Risk Analysis
- Continuous Controls Monitoring
Cognitive Tasks
Artificial Intelligence
Machine Learning (ML 4.0)
Natural Language Processing
Enterprise Ontology
Experience Focused
- Prescriptive Analytics
- Improved Customer Experience
- Interactive Voice Response
- Learned Behaviors