Technologies: Are We Entering the Age of AIoT?

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Technologies: Are We Entering the Age of AIoT?

Artificial intelligence (AI) and the Internet of Things (IoT) are a perfect example of two technologies that complement each other and should be tightly connected, writes Jane Howell of SAS, a board member of MESA (Manufacturing Enterprise Solutions Association). The combination, she says, is something she calls AIoT (Artificial Intelligence of Things), and she believes it already exists.

In a recent MESA blogpost, Howell argutes that examples include Google Maps, Netflix, Siri and Alexa, and that they form a part of our daily lives but we seldom recognize it. AIoT will create new value for organizations across a broad spectrum of industries – from manufacturers and retailers, to energy, smart cities, health care, and beyond, she predicts.

Jane Howell: Technologies- Are We Entering the Age of AIoT?

Jane Howell of SAS

Analysts from Gartner confirm this trend. In fact, they predict that by 2022, more than 80 percent of enterprise IoT projects will include an AI component, up from only 10 percent today.
AIoT helps make rapid decisions and uncover deep insights as it “learns” from massive volumes of IoT data.
Looking beyond the physical infrastructure of the intelligent IoT – the sensors, cameras, network infrastructure and computers – Howell believes there are 4 essential steps that underpin a successful AIoT deployment:

  • Think real-time analytics – Use event stream processing to analyze diverse data in motion and identify what’s most relevant.
  • Deploy intelligence where the application needs it – Whether in the cloud, at the network edge, or at the device itself.
  • Combine AI technologies – AI capabilities such as object identification or processing natural language by themselves are valuable; used in synergy, they are indomitable.
  • Unify the complete analytics life cycle – From streaming the data, filtering it, scoring the data using the model, and storing relevant results to continuously improve the system.

Analyzing high-velocity big data while it’s still in motion – before it’s stored – so you can take immediate action on what’s relevant and ignore what isn’t, will also be crucial. Companies should seize opportunities and spot red flags hidden in torrents of fast-moving data flowing through the business. Event stream processing plays a vital role in handling IoT data, and will be even more vital with advances like 5G as enterprises move further towards Real-time Analytics.
In the end, Howell states, IoT will provide the massive amount of data that AI needs for learning and transforming that data into meaningful, real-time insights on which IoT devices can act.

Author: Tim Cole
Image Credit: Pixabay

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