The Power to Predict: How AIoT Shows You What’s Ahead

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Imagine if your customers could know what’s coming next. If they could respond before potential challenges and have the ability to foresee new business opportunities. That's where a new paradigm emerges: the artificial intelligence of things (AIoT).

What is IoT?

The internet of things (IoT) is a network of physical devices or "things" that are connected through sensors, software, and other technologies. The IoT operates by embedding and exchanging data with devices and systems across the internet.

What is AIoT?

The artificial intelligence of things (AIoT) combines AI technologies with the IoT infrastructure to achieve more streamlined operations, enhance human-machine interactions, and improve data management and analytics functionality.

Market Developments Driving AIoT Adoption

Connectivity images over city at night

Rising connectivity (7.7% CAGR 19-24)

By 2025, it is expected that 75 billion devices will be connected to the Internet.

This includes a broader deployment of visual sensors. For example, IP camera sales are estimated to grow 7.7% annually between 2019 and 2024 worldwide, not including thermal and explosion-proof cameras or analog cameras.

The IoT makes us data rich as it connects and collects data. But if one cannot find a way to efficiently process and use this data, they remain “information poor.”

Computer chip in circuit board

Advances in technology

Significant advances have been made in the following areas:

  • Edge computing: a more powerful system on a chip (SoCs).
  • Networking (5G): fuel the broader deployment of visual sensors.
  • Sensing: New developments such as full multimedia sensors offering both visual and audio data.

Data on computer screen

Driven by data

Increasing connectivity and advances in technology fuel the demand for video data-driven solutions. At the same time, it will drive the need for extracting the "semantics" of video data, or data that is typically volumetric and unstructured.

The surge in visual data increases the need and provides opportunities for front-end processing of this data onboard IoT sensors (edge processing), known as intelligence at the edge (AI at the edge).

Simultaneously, it drives intelligent solutions that can consolidate and complement data gathered from multiple IoT sensors. AI at the center makes sense when generating predictive analytics or anomaly alerts. Creating a model to build a predictive model often involves sifting through millions of data points. It makes sense to organize this type of data processing centrally.

Lock overtop of city background

New paradigm

With the seamless integration of artificial intelligence (AI) and the internet of things (IoT), a new paradigm emerges: the artificial intelligence of things (AIoT). IoT connects and collects the data, and AI helps us understand and use the data.

AIoT will help us uncover new opportunities within and beyond security. It will further change the lives of the people for a more powerful and digitally smart future.

Taking advantage of the rich contextual and behavioral video data, AIoT will:

  • Drive technological advances to ensure that solutions are capable and durable. AIoT will facilitate next-generation developments, e.g. video analytics developments based on artificial neural networks (ANNs).
  • Require “secure by design” solutions considering the increasingly sensitive nature of the video data collected. Security of data and protection of privacy remain of utmost importance.
  • Fuel AI at the edge and center:
    • Predictive analytics or anomaly alerts are activated by AI at the center of the IoT system.
    • Reduced bandwidth and latency while improving privacy and security through AI at the edge of an IoT network (meaning at or near the device nodes). It can be expensive, or even fatal, to ship every device data point to the cloud before any action can be taken on the IoT device level. 

Field with windmills and solar panels


Overall, we see an increasing trend of people wanting to make sustainable choices and support companies that behave socially responsibly.

The focus of sustainability is to meet the needs of the present without jeopardizing the capacity of future generations. The concept of sustainability is comprised of three pillars: economic, environmental, and social, also informally known as profits, planet, and people.

In conclusion, future solutions should be:

  • Trusted: capable, durable, and secure by design
  • Smart: offering AI both at the center (server, cloud, programs, chipsets) and edge (at or close to the sensor)
  • Sustainable

We believe that we are already at the forefront of the artificial intelligence of things (AIoT).

Know What's Next

Early on, Bosch knew that combining artificial intelligence (AI) with the internet of things (IoT) was key to enabling customers to use the rich and versatile visual data of video things. AIoT video systems from Bosch deliver the Power to Predict, are built on trust, and support sustainable business practices. 

AIoT video systems from Bosch, like intelligent cameras, add sense and structure to captured video footage. Their built-in AI enables them to understand what they’re seeing to add sense and structure to captured video with metadata. At the same time, the predictive DNA enables smart solutions and initiatives that support sustainable business practices. The ultimate goal is to give customers the Power to Predict, so they know what's next.

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