Oracle launches drag-and-drop AI for smart factories
The Oracle Internet of Things Cloud got new features today that give industrial companies the ability to implement pre-built AI algorithms. Using historic and live sensor data, the AI can do things like detect anomalies, predict when a machine will stop working, or help with supply chain management.
Previous applications of AI with Oracle’s IoT Cloud required technical coding knowledge. Now it’s drag and drop, Bhagat Nainani, global VP of IoT applications development at Oracle, told VentureBeat in an interview at Oracle headquarters in Redwood City.
“The machine learning, AI are fully built in. You don’t need to be an expert in data science and having done that for years. You can use pre-built in algorithms that have been optimized for an IoT stream that are being applied to each of these different applications,” he said.
The new features follow the launch of Oracle IoT applications in February. Oracle is one of a range of companies — including IBM and Microsoft — that now offer industrial IoT solutions augmented by AI for training, safety, or machine maintenance.
Also making its debut today is Digital Field Service, which was made to predict equipment failure and augmented reality to help remotely guide equipment repairs.
There’s also Digital Fleet Management for real-time shipment tracking and supply chain management and Smart Connected Factory, which performs root cause analysis and incident detection in industrial settings.
Sensor tracking can be used internally at a company to put IoT data to practical use or sold as a product and service for other businesses.
“If a company is selling a pump or an HVAC or an elevator and they want to monitor those and offer a product as a service, the monitoring applications are focused on both the B2B and the B2C use cases for products,” VP of industry and IoT solutions Lionel Chocron told VentureBeat.
Some of the new services rely on what Oracle calls Digital Twins, which offer virtual representations of an object, equipment, or work environment. These are created with partners in the virtual world in order to supply VR for training and AR for guiding an employee remotely to conduct repairs or carry out tasks.
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