Skip to main content

Artificial Intelligence of Things (AIoT)


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).


Comments

Popular posts from this blog

Ghosting

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...

Data deduplication

Data deduplication -- often called intelligent compression or single-instance storage -- is a process that eliminates redundant copies of data and reduces storage overhead. Data deduplication techniques ensure that only one unique instance of data is retained on storage media, such as disk, flash or tape. Redundant data blocks are replaced with a pointer to the unique data copy. In that way, data deduplication closely aligns with incremental backup, which copies only the data that has changed since the previous backup. For example, a typical email system might contain 100 instances of the same 1 megabyte (MB) file attachment. If the email platform is backed up or archived, all 100 instances are saved, requiring 100 MB of storage space. With data deduplication, only one instance of the attachment is stored; each subsequent instance is referenced back to the one saved copy. In this example, a 100 MB storage demand drops to 1 MB. Target vs. source deduplication Data deduplica...

A Graphics Processing Unit (GPU)

A graphics processing unit (GPU) is a computer chip that performs rapid mathematical calculations, primarily for the purpose of rendering images. A GPU may be found integrated with a central processing unit (CPU) on the same circuit, on a graphics card or in the motherboard of a personal computer or server. In the early days of computing, the CPU performed these calculations. As more graphics-intensive applications such as AutoCAD were developed; however, their demands put strain on the CPU and degraded performance. GPUs came about as a way to offload those tasks from CPUs, freeing up their processing power. NVIDIA, AMD, Intel and ARM are some of the major players in the GPU market. GPU vs. CPU A graphics processing unit is able to render images more quickly than a central processing unit because of its parallel processing architecture, which allows it to perform multiple calculations at the same time. A single CPU does not have this capability, although multi...