IIC Journal of Innovation 6th Edition - Page 22

Industrial Intelligence: AI’s Implications on Security, Seamlessness and Services for the IIoT having enough time to complete all of my assigned tasks. I NTRODUCTION Shifting from cleverness to intelligence requires a degree of technical magic. Fortunately, the building blocks are in place and IoT and AI practitioners are jumping at the chance to build a Digital David Blaine. The Internet of Things is a confluence of technologies that have matured earlier than anticipated. This precociousness is not a bad thing – it makes for clever devices that simplify our lives by turning lights on and off using timers or mobile applications. Other clever systems can check the traffic each morning and set my alarm to wake me optimally based on a utility function balancing my love of sleeping and in-car public radio with my distaste of sitting in gridlock. These applications make the world a little more fun, a little happier, a little more efficient. But… A RTIFICIAL I NTELLIGENCE : A G RAND , O LD V ISION , C OMING OF A GE Artificial Intelligence is a suite of technologies capable of affording machines perception and cognition. Perception allows digital systems to observe themselves and the surrounding world through sensors and other data streams. Cognition allows machines to learn rules and to solve problems based on examples and models. These elements combine such that machines may develop an almost human-like intuition, with an awareness of their own place, purpose, and processes. As researchers watching IoT evolve from technological seedling into a powerful and scalable innovation platform, we can’t help but feel a little like parents watching a child grow up. IoT is exciting, clever and lovable – but it’s destined for greatness if it can cultivate its talents. Having watched other technologies grow, we know that being precocious and clever is not sufficient – we need IoT to be intelligent. We are in the midst of an AI revolution – in the sense that we’ve seen evolutions before. AI has been used successfully in research since the 1950’s. 1 However, Artificial Intelligence struggled with adoption due to the cost and complexity of its implementation. Limited input data and slow processing additionally challenged the technology’s growth. An intelligent IoT would read my emotion from wearable devices and change the color and brightness of my lights as I walk through the house to evoke a pleasant response. An intelligent alarm clock would consult my medical records, work e-mails and calendar events to ensure that I woke up at the right time able to perform my best, while still Today, things are a bit different from AI’s nascent days. Computers are less expensive and more power efficient, while popular, 1 Frank Rosenblatt is credited with creating the first perceptron in 1957 at the Cornell Aeronautical Laboratory. This is considered by many to be the forerunner to modern artificial intelligence. IIC Journal of Innovation - 21 -