IIC Journal of Innovation 6th Edition - Page 25

Industrial Intelligence: AI’s Implications on Security, Seamlessness and Services for the IIoT particular steady-state temperature. If the Supervisor detects than an 80% duty cycle results in a lower temperature, an alert is sent to a user to check whether the heating element or sensor have failed, or if an insulating door was left open. If an extruder notices that the processing force increases suddenly, the system can identify that the die has yielded. lives, blending into the background of industrial environments. AI can also be used to reduce user friction, integrating smart objects transparently into conventional workflows or allowing them to operate on their own in the background. Voice assistants provide pervasive intelligence by utilizing AI to allow individuals to speak to a computer as they would a person, while other technologies leverage AI to proactively control environments based on learned trends and current conditions. In both cases, the ease of interaction allows these smart devices and systems to fade transparently into the background, while they simultaneously make worker’s lives more comfortable and optimize processes. Using our IoT-as-a-child example from earlier, AI can teach devices and services right from wrong, not to believe everything they hear, not to take advice from strangers, and cause and effect. These examples show the potential for Artificial Intelligence to sup ervise and protect digitally mirrored systems . Seamlessness These same machines may even learn about their environment in order to allow for automated process optimization at scale, reducing or eliminating the need for human involvement. IoT has changed how we see machines, but it also changes how machines see themselves – with richer data and Artificial Intelligence, machines are now able to learn their context and to understand their place, purpose, and processes. Machines that understand their role in an organization may optimize at scale and in aggregate as opposed to individually. These devices can then reduce a factory’s operating costs, energy use, work-in- progress, and exposure to safety hazards with a minimum of human interaction. This invisibility paired with efficacy at scale is what makes AI such an integral, and non- invasive, part of our daily lives. Artificial Intelligence allows IoT to become seamless in industrial environments. Intelligence helps devices find pervasive deployment, creates frictionless user interactions and intuitive integration into conventional workflows, and simplifies human hand-offs. IoT works best when it is implemented at scale, though resource constraints challenge IoT’s deployment. Using the same models described in the previous section, AI can be used as the basis of “Data Proxies” capable of turning sparse input signals into rich digital representation of physical objects. 3 Reducing the amount of data required to mirror a system using Artificial Intelligence lowers costs and allows the pervasive deployment of devices. With smart, connected things everywhere, they can become an integral and invisible part of our 3 The Future Internet of Things: Secure, Efficient, and Model-Based http://ieeexplore.ieee.org/document/8055694/ - 24 - November 2017