When people think of artificial intelligence (AI) they often think of a singular technology. In truth, artificial intelligence is something of an umbrella term that covers a wide range of technologies and applications. From statistical analysis to machine learning to digital assistants, artificial intelligence powers a wide range of hardware and software applications. In general, AI has made an impact on various industries, by using new developments to improve quality, efficiency, and accuracy. Here are three emerging technologies powered by artificial intelligence.
Speech Recognition/Language Processing
Most of us already use high-powered artificial intelligence systems without even recognizing it. Digital assistants like Google, Alexa or Siri are all at the cutting edge or language processing and generation. That being said, there are still significant limitations to most programs. While the current gen of AI programs are capable of understanding basic commands like search, play, call or remind, they still have difficulties with more complex queries or commands. Next-gen programs will be able to actually hold conversations in natural language that may be nearly indistinguishable from human conversation.
As speech recognition and language processing improve, customers may soon be immediately greeted by a “live” voice capable of recognizing natural language when they call a customer service or support line. Instead of annoying decision trees, they can simply state what they are calling for and speak to a virtual agent that can meet a wide range of needs. From updating personal information to booking travel arrangements to offering technical support, virtual agents will soon be able to handle a wide range of consumer needs.
One of the difficulties that doctors face when trying to make an accurate diagnosis is that the human body is intricately complex and there are literally thousands of different factors that can affect diagnostic outcomes. In many cases, even tests can provide inaccurate results because of extenuating factors. Deep learning mimics artificial neural systems in the brain that are capable of detecting minute patterns in a vast array of data sets. As more and more patient records and tests are digitized, deep learning modules can scan a lifetime of patient records to detect minute patterns that might be easily overlooked by even the best doctor with a heavy patient load. The time may come when artificial intelligence can detect the very moment a cancer cell begins to multiply, long before it becomes a tumor or creates other symptoms.