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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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A black swan event is an incident that occurs randomly and unexpectedly and has wide-spread ramifications. The event is usually followed with reflection and a flawed rationalization that it was inevitable. The phrase illustrates the frailty of inductive reasoning and the danger of making sweeping generalizations from limited observations. The term came from the idea that if a man saw a thousand swans and they were all white, he might logically conclude that all swans are white. The flaw in his logic is that even when the premises are true, the conclusion can still be false. In other words, just because the man has never seen a black swan, it does not mean they do not exist. As Dutch explorers discovered in 1697, black swans are simply outliers -- rare birds, unknown to Europeans until Willem de Vlamingh and his crew visited Australia. Statistician Nassim Nicholas Taleb uses the phrase black swan as a metaphor for how humans deal with unpredictable events in his 2007...
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