I used to think that building something with technology started with an exciting idea or a new tool. But as I learn more about AI, IoT, and startups, I’m beginning to see why understanding the problem can be just as important as the technology itself.
A solution might sound impressive, but does it actually help someone with a challenge they face every day?. That’s a question I’ve been thinking about.
What happens when AI meets IoT?
The Internet of Things (IoT) connects devices and sensors that collect and share information from the physical world.
Artificial intelligence (AI) can help analyse that information, identify patterns, and support decision-making.
When used together, these technologies are often called AIoT. They can be explored in industrial settings where teams need better visibility into equipment, inventory, and operations.
Some possible applications include:
Asset tracking: Helping teams understand where equipment and other assets are.
Inventory management:Supporting visibility into stock and operational activity.
Equipment monitoring:Collecting information that can help teams understand equipment conditions.
Workforce safety: Supporting monitoring and awareness in work environments.
Industrial intelligence:Helping people make sense of operational information.
Of course, these technologies aren’t automatic solutions. Their usefulness depends on the specific problem, the quality of the data, and how well a system fits into the environment where it will be used.
Why starting with the problem matters
Imagine a business that struggles to keep track of its equipment. Before choosing a technology, it would be useful to understand why tracking is difficult.
Is information scattered across different systems? Are there gaps in the way equipment is recorded? Do teams have trouble accessing information when they need it?
Understanding the cause can help clarify what kind of solution might be useful.
This is one reason I find the venture studio approach interesting. Aperture Venture Studio focuses on building AI and IoT companies for the physical world, with an approach that includes identifying industrial problems, developing systems around real use cases, validating ideas through customer engagement, and scaling ventures.
What I’m still learning
I’m a beginner in this area, so I’m interested in hearing from people who have worked on technology projects or helped build startups.
How do you figure out whether a problem is worth solving?
And when introducing AI or IoT into an existing business, what tends to be the most challenging part: understanding the problem, collecting useful data, integrating systems, or getting people comfortable with a new way of working?
I’d love to learn from your experiences.
Learn more about Aperture Venture Studio:
https://apertureventurestudio.com/
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