Applications of AI in Automation
Artificial Intelligence (AI) has long been the backbone of process automation. Recent and rapid improvements in AI-supported technologies continue to change the face of automation and the ways it improves enterprise efficiency. What are these supporting technologies and how do they work? Let us introduce you.
OCR — Optical Character Recognition
Scans, identifies, and extracts data from key sources. OCR is the backbone of data capture automation — improving abilities to make actionable data of structured and unstructured content (i.e. images, audio, spatial, synthetic data, and more.)
ML — Machine Learning
Makes insights/decisions, and labels unlabeled data without human intervention. AI Machine Learning adds learned data to a growing foundation of knowledge and training processes shared across intelligent automation systems like RPA and Workflow programs.
NLP — Natural Language Processing
An AI’s ability to discern and utilize human language vs. rigorously structured code. NLP improvements introduce true no-code capabilities, allowing non-developers to program increasingly complex automations with common speech.
Benefits of AI in Automation
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- Answer the question on everyone’s mind: “Will AI replace humans?”
- Differentiate Generative AI from AI for business process goals.
- Discover advancements in Natural Language Processing and Machine Learning.
- Identify the benefits, concerns, and caveats of enterprise AI.
- Visualize future business objectives and structure with keen insights.
Artificial Intelligence Positive Effects
AI Case Study
KeyMark’s CloudCapture services utilize proprietary AI-OCR algorithms to speed the digitization and classification of documents. See how it works.
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