The Good and the Bad of AI

The Good and the Bad of AI

~ From www.boxertechnology.info ~
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Artificial intelligence: what does it really mean? In a broad sense, it refers to machines that can operate as well as intelligent humans. Businesses tend to integrate artificial intelligence software that simulates learning, problem solving and more to improve efficiency. People use artificial intelligence on a daily basis on their smart phones and across the entire gamut of the Internet of Things (smart homes and smart cars included), and A.I. is used by many of the common resources such as Google, Facebook, and of course Youtube and other video/audio-based channels—not forgetting the video game industry. The rise of Artificial Intelligence (A.I.) has broadened the horizons for business and in recent years has combined forces with the IT/Cloud technology industry to introduce incredible innovative applications into multiple areas of human activity that involve various industries from Transportation and the Aerospace industry to Healthcare, Agriculture, Travel and many more.A.I. delivers greater accuracy and precision, and reduces the margin of error. Through processes such as Machine Learning and Semantics technology, ‘Thinking Machines’ are able to mimic the neural pathways and activity of the human brain. Moreover, they are able to recognize and extract meaning from language and text through cognitive thinking. A.I. assistants are a perfect example of this- they can recognize human behaviour and preferences by analyzing human language including speech (Siri is one example). However, while A.I. can store and process lots of data in a shorter amount of time, its retrieval is still not as effective as the human brain. This is because they operate solely on logic and must still be programmed to perform and repeat certain tasks, so they do not get better with experience (unless we consider the evolution of self-replicating algorithms and eventually also self-repairing machines).For businesses and users, A.I. in conjunction with IT and Cloud computing processes can filter and process valuable data across the entire internet—from the social media to consumer websites, in order to deliver (in real time) whatever solution they need. The processing speed of A.I. applications is also the reason why it can successfully predict fluctuations in customer demand/satisfaction, and to anticipate changes in customer trends as well as any potential crisis that a business might experience down the road—delivering the appropriate solution well before the crisis exists. The downside is that A.I. costs a lot in terms of maintenance and repair, and also as far as upgrades are concerned over time. A.I. is a continuously evolving set of technologies and as such requires constant upgrades in a changing environment (and world!).

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