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Artificial
Intelligence of Things (AIoT) is the use of artificial intelligence (AI)
technologies to enhance an Internet of Things (IoT) infrastructure. An
important goal of AIoT is to transform operational data into information that
can be used to make decisions in real time.
AIoT technologies
have the ability to capture streaming data, determine valuable attributes and
immediately make a decision without requiring human intervention. Currently,
AIoT can support freestanding hardware components such as Google Home, as
well as embedded hardware components such as AI chipsets. Application
programming interfaces (APIs) can be used to extend interoperability between
components at the device level, software level or platform level.
While the concept
of AIoT is still relatively new, real possibilities exist for AI to improve
industry verticals for industrial, consumer, business-to-business (B2B) and
service sectors. As applications for AI technologies grow, the unstructured
data generated from IoT-supported systems is expected to increase in value
correspondingly and the ability to use streaming data to make data-driven
decisions will add a new dimension to service logic. In some cases, experts
predict, the data itself will become the service because of its ability to
provide actionable information.
In addition to
becoming a viable solution for solving existing operational problems, AIoT is
also expected to reduce supply chain risk, which includes expenses associated
with human capital management (HCM). AIoT is also expected to create new
delivery models such as IoT Data as a Service (IoTDaaS).
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Ghosting is to cease communications without notification. The use of the word "ghost" as a verb originated in social media in reference to dating, but the term is now used by employers to describe employees and potential employees who suddenly disappear. Typically, ghosting is used to describe: Job candidates who suddenly stop responding to messages. New hires who fail to show up for their first day of work. Employees who do not show up for a shift. Employees who leave work in the middle of the day and never come back. Some analysts blame ghosting on millennial entitlement. The reasoning is that members of the millennial generation have been brought up to feel they are special -- so special, in fact, that they do not need to follow conventional rules of behavior. Other analysts, however, maintain that ghosting behavior stems from changes in the job market and the phenomenon is simply a reflection of the laws of supply and demand in a healthy jo...
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