Automation
AI can automate workflows and processes or work independently and autonomously from a human team. For example, AI can help automate aspects of cybersecurity by continuously monitoring and analyzing network traffic. Similarly, a smart factory may have dozens of different kinds of AI in use, such as robots using computer vision to navigate the factory floor or to inspect products for defects, create digital twins, or use real-time analytics to measure efficiency and output.
Reduce human error
AI can eliminate manual errors in data processing, analytics, assembly in manufacturing, and other tasks through automation and algorithms that follow the same processes every single time.
Eliminate repetitive tasks
AI can be used to perform repetitive tasks, freeing human capital to work on higher impact problems. AI can be used to automate processes, like verifying documents, transcribing phone calls, or answering simple customer questions like “what time do you close?” Robots are often used to perform “dull, dirty, or dangerous” tasks in the place of a human.
Fast and accurate
AI can process more information more quickly than a human, finding patterns and discovering relationships in data that a human may miss.
Infinite availability
AI is not limited by time of day, the need for breaks, or other human encumbrances. When running in the cloud, AI and machine learning can be “always on,” continuously working on its assigned tasks.
Accelerated research and development
The ability to analyze vast amounts of data quickly can lead to accelerated breakthroughs in research and development. For instance, AI has been used in predictive modeling of potential new pharmaceutical treatments, or to quantify the human genome.
Speech recognition
Automatically convert spoken speech into written text.
Image recognition
Identify and categorize various aspects of an image.
Translation
Translate written or spoken words from one language into another.
Predictive modeling
Mine data to forecast specific outcomes with high degrees of granularity.
Data analytics
Find patterns and relationships in data for business intelligence.
Cybersecurity
Autonomously scan networks for cyber attacks and threats.
