EMPOWERING CITIZEN DATA SCIENTISTS.
You’re probably already collecting the data you need from sensors on industrial equipment.
There’s no shortage of raw data.
GrayMatter’s Advanced Industrial Analytics offering brings an out-of-the-box, machine learning solution to everyone who wants to use data to drive revenue and improve customer service.
The next step is applying it to artificial intelligence in the cloud so you can find performance insights and turn them into operational directives.
To get there, break down your approach into three key steps:
1) Setting Goals
2) Making Predictions
3) Connecting Operations
SET YOUR GOALS
Are you trying to improve product quality?
Maybe equipment downtime is a challenge?
Or perhaps it’s managing energy and resource consumption?
Choosing the right combination of data points at this stage will identify the appropriate mathematical model – a machine learning algorithm – and then fine-tune it as raw data begins flowing through it.
If you can’t connect your real-time data to actions on the plant floor, what use is it?
Advanced Industrial Analytics super-charge the expertise that’s already in the boardroom, or in the warehouse or at the well pad.
It can answer a question no one thought to ask, or offer an early alert about a pressure reading that could become a ruptured tank.
It’s about finding warning signs, plotting trends and using a virtual space to dig into real-world problems. Simply, we bring the data together, so you can take it apart.
“WOULD YOU GO TO A SPORTING EVENT WITH NO SCOREBOARD? NO. SO WHY GO INTO A MANUFACTURING PLANT IF YOU CAN’T SEE WHAT IS GOING ON?”
– CARSON DRAKE