AI solutions are rapidly transforming operations and redefining how industrial companies build and deliver products, while also improving their top- and -bottom lines. Wipro and SymphonyAI, a leader in high-value enterprise AI SaaS, have partnered to help firms deliver exactly that.
This partnership combines Wipro’s service delivery excellence and deep domain expertise in energy, natural resources, utilities, chemicals, glass, and electronics manufacturing with SymphonyAI’s market-leading and award-winning industrial product portfolio – including asset health and process optimization, manufacturing process execution, and connected frontline worker capabilities. SymphonyAI Industrial and Wipro jointly deliver solutions to help manufacturers identify and prioritize assets and processes suitable for AI-driven decision making. We work together to build, deploy, and fine-tune AI models, create digital twins for manufacturing process optimization, and provide training and support.
The Wipro/SymphonyAI Industrial team provides tremendous value to customers by making plants run more efficiently while improving carbon emissions. Wipro’s ability to improve a plant’s operation and help scale to a fleet of plants is invaluable. Wipro and SymphonyAI empower clients to meet the industry-wide challenges they face by offering:
- Improvement in throughput by 2-5%
- Increase in energy efficiency by 1-4%
- A preventative prediction of asset failures in advance
Today’s industrial manufacturing companies are at the cusp of a digital revolution. The proliferation of IoT devices, cloud computing scalability and analytics and advances in AI are driving the need to solve critical challenges – meet the world’s growing demand with less resources and lowered carbon emissions while increasing uptime, availability, and safety.
By bringing together a rich library of digital twins, supervised, semi-supervised, and unsupervised AI models, and digital workflows, customers can quickly realize value by receiving early warnings of potential failures with causes and prescriptive resolution recommendations, or advisories to adjust key process variables to optimize for mission-critical goals.
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