Artificial intelligence

The term “artificial intelligence” is applied when a machine mimics “cognitive” functions that humans associate with other human minds, such as “learning” and “problem solving”:

AI techniques have become an essential part of technology industry to create intelligent routing, execute military simulations or interpret complex data, including images and videos. Or to build machines which are capable of thinking like humans, but much faster and using massive amounts of data (big data). AI is already more present in daily applications then you might suspect. For example, if you’re using an Android smartphone, AI is used to optimize your battery usage.

With the massive availability of data – from things we share on social media to machine data generated by connected industrial machinery – computers now have a universe of information available to them, helping them to learn to be more efficient and make better decisions.

Business impact

AI technology is key in the digital transformation taking place today.

If, for example, you want to capitalize on the ever-growing amount of data being generated and collected, by wearables, sensors, beacons, internet,… you will need the help of artificial intelligence.

Some applications using AI are:

  • Online assistants: Chatbots, Siri, …
  • Content delivery: Publishers now use this technology to distribute content, to post stories more effectively and generate higher volumes of
    traffic on social media
  • Data mining: search engines, image recognition in photographs and video, spam filtering, prediction of judicial decisions, …
  • Finance: AI is used in finance from fraud detection to improving customer service by predicting what services customers will need.
  • Autonomous vehicles (drones, self-driving cars) would not be possible without AI.
  • Medical diagnosis, impact of medication, often in combination with IoT and wearables are some of the examples using AI in healthcare.
  • In manufacturing AI helps to manage workforces and production processes; predicting faults before they occur and enabling predictive maintenance.
  • Creating art (such as poetry), proving mathematical theorems, playing games (such as Chess or Go), …
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