What is Artificial Intelligence?
Artificial Intelligence (AI) is the combination of cognitive automation, machine learning (ML), reasoning, hypothesis generation and analysis, natural language processing, and intentional algorithm mutation producing insights and analytics at or above human capability.
What is the difference between RPA and AI?
For simplicity, you can think of RPA as a software robot that mimics human actions, whereas AI is concerned with the simulation of human intelligence by machines.
And on the most fundamental level, RPA is associated with “doing”, whereas AI and ML are concerned with “thinking” and “learning” respectively.
At the same time, it is important to realise that RPA and AI are just different ends of a continuum known as Intelligent Automation (IA).
Different fields of AI
Computer Vision
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Object Detection, Image Recognition, Image Moderation, and more
Optical Character Recognition/Intelligent Character Recognition
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Capturing and extracting information from documents like invoices, receipts, purchase orders, delivery orders, utility bills, shipping documents (e.g. bill of lading, airway bills, etc.), and more
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Voice Recognition
Text-to-Speech and Speech-to-Text
Natural Language Processing
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Language Detection, Language Translation, Named Entity Recognition, Sentiment Analysis, Text Classification, Text Summarisation, and more
How AI can complement and enhance your automation programme
The combination of RPA and AI is a potent mix that enables you to derive more value from your automation programme. Whereas RPA is focused on executing mundane, menial tasks, AI assists humans in handling complex and cognitive tasks that are probabilistic in nature with high variability.
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Here are just a few example use cases of AI:
Intelligent email classification
Loan approval
Product recommend-ation
Fraudulent medical claim prediction
Anomaly detection in audit
Hospital readmission prediction
Visual quality inspection
Data extraction for intelligence gathering
ID information extraction
Inventory management
Fraud detection in banking
Pricing optimisation
Real-time health risk assessments
Tender and RFP opportunities classification
Resume matching
Do you need to know more use cases? Contact us.
