Although digital transformation is altering the business landscape, industrial companies have come to realize that connectivity is not sufficient to succeed. Sensors, data collection and digitization are all vital starting points, but it is only when the generated information translates into better decision-making that the true value can be realized.
For this reason, the focus has been moving from connected devices to connected decision-making.
Data Gap in the Modern Industrial Enterprise
Factories, logistics companies, energy providers, and infrastructural entities produce huge amounts of data every minute of operation. Machines communicate performance parameters, sensors inform about surrounding environment and software logs the entire manufacturing process.
In spite of the abundance of data, many firms continue to depend on manual interpretation and delayed communication of results. When the problem is spotted, the moment to mitigate it has been missed already.
Filling up the data gap is one of the most urgent objectives for firms implementing Industry 4.0.
Transforming Information into Action
With the help of Artificial Intelligence (AI), organizations can analyze operational data on a scale that is simply not possible for humans. Unlike analyzing spreadsheets or end-of-day reports, AI analyzes live information and identifies trends immediately.
Some ways that this capability benefits businesses include:
Early detection of equipment problems
Improved production planning
Optimization of asset usage
Minimization of wastage
Making informed decisions
The idea is not to collect more information but to make each and every decision better-informed.
The Benefits of AIoT
Once you combine AI with IoT, companies get complete visibility of their operations. IoT-connected devices supply the data, and AI makes sense of it all.
The integration of these two technologies, popularly known as AIoT, helps with predictive maintenance, intelligent asset management, worker safety, and process optimization. Instead of reacting to disruption in operations, organizations can anticipate them and act proactively.
In increasingly connected industries, AIoT is moving beyond a new technology to a strategic business capability.
Ventures to Solve Industrial Challenges
Developing Ventures to Tackle Industrial Problems
To be able to build effective AI solutions one has to have knowledge not only about algorithms but also of the industrial environment and requirements.
Venture studio approach proved to be efficient in order to solve this problem, as it combines work of product strategists, engineers, and industry specialists in order to build up the companies based on proven market opportunities.
A good example of a company like this is Aperture Venture Studio that concentrates on creating AI & IoT ventures to solve the actual industrial problems. Check out their website here: (https://apertureventurestudio.com/.)
Top comments (0)