Maximizing equipment performance and business performance
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TwinThread leverages Microsoft Azure capabilities to optimize industry
Industrial Internet of Things (IoT) solutions provider TwinThread has aggressive ambitions for its industrial OEM, manufacturing, and industrial service provider customers. “Peak performance is our primary goal,” says Andrew Waycott, COO of TwinThread.
“We collect sensor data from our customers’ pieces of industrial equipment and then apply artificial intelligence and machine learning to it in the Microsoft Azure cloud,” Waycott says. “We’re able to find insights about how those assets are performing and know where and how to make improvements.”
“And we can do it with a reach that can extend across the enterprise from, for example, a $10,000 pump to a $20 million gas turbine,” continues Waycott. “We can scale entire asset classes to achieve peak performance.”
Extending peak performance to the rest of the fleet, thanks to Azure
Not long ago, the capabilities and benefits TwinThread provides were not an option for every company. “Nationals to global multinationals have IoT systems similar to TwinThread’s but at a much higher scale and cost. That cost is justified, because of their tremendous equipment investment,” says Erik Udstuen, CEO of TwinThread.
“But we want to bring that capability, cost effectively to equipment and companies that aren’t necessarily at that scale,” continues Udstuen. “These systems can deliver payback on the order of hundreds of percent. With TwinThread, we’re giving more industrial companies greater access to those benefits.”
Made possible by Cognitive Services AI and Azure Machine Learning
With advanced capabilities built in and available in the Microsoft Azure platform, TwinThread didn’t have to start from scratch and could deliver a more cost-effective solution. “The building blocks that Azure provides are key enablers of our solution,” says Udstuen. “We started with those rather than building from ground zero. And Azure’s flexibility and scalability make it all more cost-effective for us and our customers.”
“When it comes to the artificial intelligence and machine learning capabilities we invoke, Azure really has enabled us to do something that we otherwise couldn’t have done,” says Waycott. “The investment and resources it takes to build that just aren’t within reach for a company our size or many of our customers. Microsoft has already done most of the heavy lifting.”