October 3, 2017

What Is Industrial AI?

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.

Breaking down the AI buzzwords

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:

  1. AI: those computer science techniques and technologies that allow software to exhibit ‘smarts’ - in other words, to do things that seem human-like
  2. Machine Learning: a subset of AI. ML refers to a set of techniques that allow us to create AI software by training that software with data to display some desired intelligent behavior.
  3. Cognitive Computing: a more esoteric term, usually used to highlight capabilities akin to humans’ higher level thinking and reasoning skills
  4. Big Data: data used to train the machines, and the more you have of it the better (assuming it’s high quality data)
  5. Predictive Analytics: machine learning can be a powerful way to make predictions by learning from patterns in data. But simple averages and other formulas can be used for predictions as well..these need not be based on ML/AI
  6. Industrial Internet of things (IIOT): for enterprises whose operations involve the physical world, IIOT is an increasingly important source of insight into the status, location, and performance of enterprise assets.

Industrial AI

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”.

Head over to bons.ai or tweet us at @BonsaiAI to let us know how you want to leverage Industrial AI in your own organization.

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