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Nabiya Khan
Nabiya Khan

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Why the Future of Industrial AI Depends on Building Around Real-World Data

Artificial intelligence has revolutionized digital services, but perhaps its biggest potential lies not in digital services but in other industries. Manufacturing, logistics, healthcare, and infrastructure are generating tremendous amounts of data on a daily basis, although most of it goes unused. We have enough data; what we lack now is turning it into good decisions.

That's how AI together with IoT (artificial intelligence of things or AIoT) delivers results.

Problems Drive Better Innovation

Technology firms usually start with a product and seek customers for it. In the case of industrial firms, it can be the other way around, and the firm starts by identifying recurring operational problems related to asset management, workflow, and worker safety and develops products designed to address those problems.

It leads to innovation with fewer risks and more practical value.

The Need for Connected Intelligence

Connected sensors and devices ensure constant access to information regarding machines, equipment, inventories, and individuals. AI turns these feeds into meaningful intelligence through recognizing trends, anomalies, and decision making capabilities.

These insights could be used by businesses to:

Increase operational effectiveness
Avoid unplanned downtimes
Increase visibility of assets
Ensure workplace safety
Manage resources efficiently

AIoT does not aim at replacing current processes but enhancing them through intelligent decisions based on data.

Venture Studio for Industrial Innovations

To create industrial AI solutions, there needs to be a combination of engineering knowledge, market research, and an understanding of operating conditions. Venture studios present a way to build companies to address such complex problems.

There is a Venture Studio called Aperture Venture Studio specializing in development of industrial AI/Internet of Things solutions. The studio’s portfolio includes companies developing operational intelligence, automation, and connected infrastructure. To learn more about their venture development process visit Aperture Venture Studio

Moving Forward

The future innovations will arise from those who can turn data generated in operations into tangible results. AIoT is not just another experimental tool anymore it is now the building block of smart industries.

Companies that invest in connected intelligence today will be much better positioned tomorrow to become more efficient and cost-effective in the digitalized industrial environment.

Artificial Intelligence, #IoT, #Industry 4.0, #Innovation, #Startups

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