When we speak of artificial intelligence, many things may come to mind.
Technically, it falls under the field of advanced informatics, which studies methodologies that enable the creation of hardware and software systems that can provide output of which only humans are supposedly capable.
Artificial intelligence in informatics and robotics
AI will become part of our professional lives to an ever greater extent, for the same reason that industry 4.0 will become (and already is) an ever more tangible reality. The areas where this subject has the biggest applications are synthetic intelligence and robotics.
The first area, synthetic intelligence, encompasses an entire series of developments, which we often hear about and which already form part of our reality to a greater extent than we could ever have imagined. It includes machine learning, neural networks, big data, cognitive systems and calculation algorithms; technologies that today form part of a large number of industry sectors to a greater extent than ever before.
The second area, robotics, involves actual robots, or so-called artificial workers. There are countless current developments, and there are many more to come.
What applications are there for AI today?
Today, artificial intelligence has numerous applications across a wide range of sectors. We need only think of voice assistants such as Siri, Google Now and Cortana, or the ability to predict the needs of buyers on the most powerful advertising systems in service (Facebook, Google).
These are, among other things, able to geolocate the user via the smartphone’s GPS and match their movements to the presence of businesses, which can utilise these technologies to aim targeted advertising at consumers.
A number of other possibilities can also be included here: domotics, which is simply the automation of processes intended to maintain a home, or the creation of chatbots for customer service, as well as the field of telecommunications, where artificial intelligence is used in the field of voice traffic to identify telephone fraud, and in the information market to detect cyber attacks and to contribute to cyber security.
Today, the development and research in this field have already reached incredibly high levels; it is therefore not difficult to imagine a future in which these technologies play an even greater role.