From deep neural networks and long short-term memory (LSTM) algorithms to reinforcement and physics informed neural networks (PINN), the possibilities are endless, and the real-world applications are only just beginning to truly be exploited. Industry data holds gold nuggets; AI is they key to finding and using them.

As companies seek to take advantage of AI, one of the first challenges is how and where to start. By some accounts, as many as 85 percent of AI projects fail. Many more companies run into problems with their data. Data quantity is important, but so is quality. Having an AI goal is not enough to succeed. Strategy and preparation are key.

Maya HTT collected insight and advice from its experts in applied industrial AI to deliver a no-fluff rundown of what companies need to know and do to prepare the properly. Their white paper examines the potential that AI holds for manufacturing and suggest ways that companies can maximize AI success and ROI.

white paper