Artificial intelligence has moved from science fiction to a technology that is solving real-world problems with a speed and efficiency that can’t be matched by its human counterparts. A recent study found that almost a third of companies globally intended to use artificial intelligence in the near future. Applications of artificial intelligence are being used to optimize processes and drive profits; following are some example of the use of this technology.
Healthcare
Applications of artificial intelligence is having a huge impact on the way that healthcare providers provide diagnoses to patients and the way that the service is delivered. It is used to support decision making during critical medical interventions as well as minimizing errors by tracking these in real time. Advances in machine learning and pattern recognition are being used to spot diseases in patient xrays with more accuracy, in some cases, than a clinician can achieve. While the technology will not replace doctors and nurses it promises to make them more effective by relieving the cognitive burden of analyzing huge amounts of information.
Manufacturing
The ability to stream and analyze large amounts of data means that insights can be drawn into manufacturing processes at a speed that would otherwise be impossible. These insights are being used to prevent downtime, predict failure rates and choose raw materials to achieve the most efficient processes when making products. AI can make real time recommendations about which materials to use and how to use them to ensure the continuity of production and produce the highest quality results.
Cybersecurity
Protecting against security threats is becoming an increasingly important issue with malicious actors having the capability to disrupt critical industries and supply chains. AI is being used to create models of user behaviour to identify anomalous activities for closer inspection. Because criminals are constantly honing their skills in a bid to break into systems, AI security applications need to be able to identify suspicious activity from a huge amount of data and pinpoint actions that require an immediate response – something that would be impossible for a human operator to achieve.
Retail
The data that shoppers provide when making purchases online will allow retailers to identify their individual needs and preferences so that they can tailor specific offers to them. AI shopping applications will provide curated customer service experiences for shoppers based on their purchase history and other preferences and be able to recognize the characteristics of their most profitable customers and how to tailor offers to them to maximize profits.
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