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Recent advances in artificial intelligence have increased public and business interest in this remarkable technology. Although most of its uses are still in their infancy, professionals from a wide variety of industries have started using AI-powered assistants to perform various tasks. However, this accelerated pace of innovation and data usage has led to increased uncertainty about where machine learning and thinking are headed and what impact this will have on society. As for the positive effects, I certainly see some outstanding things.
Run high informational scenarios with fewer errors
AI can consider multiple scenarios and make informed decisions using both previously collected information and real-time data. As a result, the errors are reduced and the chance of achieving wider accuracy and greater precision is much greater. Example: forecasting weather and other natural disasters such as earthquakes and tsunamis.
Robots using machine learning can risk dangers that could otherwise be fatal to humans. Remember to explore space or the deepest parts of the oceans, defuse a bomb, or inspect unstable structures. Example: In the still life-threatening areas of the Chernobyl nuclear disaster in Ukraine, robots monitor the radiation, remove debris from the destroyed reactor, take samples of radiological material and even bury radioactive material.
Related: How AI Can Bring Clean Water to Billions
Help with the grunt work
Performing a repetitive task is, by definition, tedious and often time consuming. Using AI for repetitive and routine actions can help focus focus on other components of a to-do list and free us to be more creative. Example: Apple’s Siri, Google Assistant and Amazon’s Alexa, together with the newcomer C9 Companion, are intelligent assistants who can lead a meaningful conversation and help to manage and organize daily life (e.g. answering e-mails, sending SMS to Sending friends and other tasks).
Faster decision making
AI can make decisions and take actions much faster than humans, and the latest generations of machine learning can take facts and statistics as well as aspects of human emotions into account and incorporate both into their calculations. For example, in healthcare, AI can help doctors and researchers diagnose cancer more accurately and efficiently, making treatment more effective.
With AI we can build robots that can function all day, every day, without interruption. Also, unlike us humans, they won’t get bored or disinterested in repetitive tasks. Example: chatbots for customer service or hotlines. 24/7 customer service is vital for global businesses as they have customers from all over the world who live in different time zones. AI solutions are successful ways to stay connected with customers.
Related: 3 Ways Machine Learning Can Help Entrepreneurs
Engine of the invention
AI powers inventions in a wide variety of sectors that help people solve complex problems while expanding our creativity and ingenuity. Examples include medical devices, drug synthesizers, weapons … even kitchen appliances. This is in part because machine learning can autonomously produce unpredictable, innovative results instead of just following instructions, and it does so without human bias.