The time is here for Artificial Intelligence and Machine Learning (AIML) in cyber. There is a widespread move out of the early adopter stage and into the early majority stage of adoption. We need to get onboard if we are going to thwart cybercriminals. The good news is that the industry is recognizing the power and the value of AIML and is finally making investments in this space.
It is difficult not to see the viability of AIML given how visible the technology has become in other mission-critical services as some of its most promising use cases have matured through stages of development to deployment in recent years. For example, the autonomous driving technology Nissan, Ford and Volkswagen by 2022 or the use of diagnostic tools like IBM’s Jeopardy!-winning Watson in hospitals around the US, are highly monitored and anticipated mission-critical use of AIML in respective industries.
However, there are use cases that are making a more dramatic impact than realized, from the deployment of AI in supply chain and warehouse management, as Amazon has already done, to the widespread adoption of automated journalism, with major publications from the Associated Press to the Los Angeles Times relying upon AI to deliver sports journalism, weather updates and even breaking news stories in a far more timely manner than their human counterparts.
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