Cognitive Automation and AI Integration
Description
Advanced automation combining RPA with artificial intelligence, machine learning, natural language processing, and cognitive technologies for intelligent process automation.
Learning Objectives
Learners will understand the evolution from RPA to intelligent automation, implement AI-powered document processing, integrate machine learning models, utilize natural language processing for unstructured data, and design cognitive automation solutions that combine multiple AI technologies for complex business scenarios.
Topics (6)
Advanced document automation including OCR technologies, document classification algorithms, intelligent data extraction, validation rules, and integration with RPA workflows for complete document processing solutions.
Advanced ML integration techniques including model deployment, API consumption, predictive analytics implementation, decision trees, and continuous learning capabilities within automation frameworks.
Comprehensive computer vision integration including image recognition, object detection, visual inspection automation, barcode/QR code processing, and visual validation within automation workflows.
Advanced conversational AI implementation including chatbot development, voice recognition integration, natural language understanding, dialog management, and multi-channel communication automation.
Comprehensive introduction to cognitive automation including market trends, technology evolution, use case identification, and the convergence of RPA with artificial intelligence technologies.
Comprehensive NLP integration including text processing, sentiment analysis, entity extraction, language translation, and conversational AI implementation for intelligent automation scenarios.