AI Automation and RPA
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Artificial Intelligence automation is developing rapidly and increasingly impacts and changes important sectors’ landscape, including business and the economy. With AI Automation advancement, businesses, organizations, and companies are increasing their focus on applying technology to increase efficiency and effectiveness in different processes. It is important to conduct critical research on AI Automation in terms of what it is, what other researchers have found regarding the topic, what the future holds, and the relevance of the findings to America in particular.
Trained Bot
Robotic Process Automation (RPA)
- Automate data collection
- Rule-based components
- Centralized process
- Process efficiency, error reduction
Learning Bot
Machine Learning (ML)
- Focus on two objectives, classify data based on models and make predictions for future outcomes based on these models.
- Pattern recognition
- Learning capabilities for continuous improvement in quality and speed by applying algorithms
Advising Bot
Artificial Intelligence (AI)
- Has autonomous decision-making capability.
- Interacts with humans through a combination of advance algorithms, natural language processing and machine learning.
- Records every action, transaction, interaction and decision tree, which makes it audible and accountable.