It may be overhyped, but AI technology is solving real-world business problems every day.
Thanks to massive datasets and advances in machine learning, AI technology can predict churn, recommend products and conduct speech and facial recognition with incredible accuracy.
But AI is also being used to automate and optimize dynamic systems including robotics, manufacturing, HVAC, energy, and supply-chain. These types of use cases, which we refer to collectively as Industrial AI, pose unique challenges but offer some of the most immediate opportunities for significant business impact.
To understand what Industrial AI is, it’s helpful to know what it is not. Here is how we define some of the AI buzzwords you may be familiar with:
So what is Industrial AI? We define it as:
Any application of AI relating to the physical operations or systems of our enterprise. Industrial AI is focused on helping an enterprise monitor, optimize or control the behavior of these operations and systems to improve their efficiency and performance.
Industrial AI includes, for example, applications relating to the manufacture of physical products, to supply chains and warehouses where physical items are stored and moved, to the operation of building HVAC systems, and much more.
You can learn more about the best fit use cases for Industrial AI, its unique challenges, and how to get started programming intelligent control into your own applications by downloading our free whitepaper, “Artificial Intelligence for Industrial Applications”.