Sandvik launches Manufacturing Copilot with Microsoft.
Sandvik collaborates with Microsoft to launch the Manufacturing Copilot platform. Utilising Artificial Intelligence (AI) technology in manufacturing software, the new platform will be available in the next versions of CAM/CAM software Cimatron, GibbsCAM, and SigmaNEST when they are available in September.
The Manufacturing Copilot aims to enhance the user’s experience and access to knowledge. Each copilot receives training on proprietary knowledge which is completely customisable and can include subjects like product knowledge. This knowledge can also be adapted and increased over time as the user sees fit.
Developed in collaboration with Microsoft Azure cloud and AI services, the platform is set to provide customers with improved accessibility and 24/7 customer help. Users will also receive any updates in real-time, allowing them to make informed choices.
“We are rolling out new capabilities to help simplify manufacturing by decreasing the learning curve, repetitive tasks and time spent on programming a job. It will simplify onboarding as well for advanced users,” said Magnus Malmström, Chief Technology Officer at Sandvik Manufacturing Solutions. “We understand customers are facing challenges adopting new technology, often due to disconnected platforms, production targets and having higher demands upon a changing workforce. We will bend the curve on innovation and enrich the customer experience.”
Sandvik is also aiming to prioritise human creativity by making knowledge accessible through natural language that is created through generative AI.
“Our technology vision is threefold,” continued Malmström. “Initially, generative AI will assist in component design by interpreting prompts to allow contextual queries and offer suggestions based on in-house product knowledge bases. Next, the Manufacturing Copilot will evolve into an intelligent user experience that cooperatively optimises and verifies processes by intelligent integration with our products. After that, we envision the use of alternative choice to use voice and command line interface driven manufacturing.”