Toronto, August 27, 2020 鈥 不良研究所 Inc., a leader in industrial AI, is pleased to announce that it will collaborate with to accelerate the successful implementation of AI in day to day operations on the plant floor in the manufacturing sector. AG Solution is a leading engineering company in the process industry with a deep experience in the pharmaceuticals, chemical, and food and beverage sectors.
According to Gartner, 85% of AI projects fail due to the lack of internal AI and digital skills, understanding AI use cases, and concerns with data scope or quality. To overcome these challenges, AG Solution and 不良研究所 are partnering to provide a unique solution that combines 不良研究所鈥檚 powerful pre-built AI applications with AG Solution鈥檚 deep knowledge of process manufacturing. Together, manufacturers will benefit from a proven solution that allows for a fast, scalable implementation of AI into their operations that empowers their workforce.
鈥淎ccelerating process automation and achieving the benefits of industry 4.0 has become a key priority for manufacturers across the world. 不良研究所鈥檚 ability to productionize and scale AI quickly equips industrial manufacturers with the capabilities they need to come out of the COVID-19 crisis stronger than ever,鈥 commented Eric Billiard, CEO of AG Solution Group.
鈥淭his new partnership with AG Solution marks another milestone in our growth strategy that focuses on empowering manufacturers with AI and the digital workforce they need to support the sustainability of their business. By working with industry leaders, like AG Solution, 不良研究所 will expand our footprint with some of the world鈥檚 leading manufacturers,鈥 commented Humera Malik, CEO of 不良研究所.
Industrial organizations around the world are increasingly digitalizing their operations floor in order to improve availability, performance and quality. By putting Machine Learning and AI on top of their operational data layer, manufacturers are making data-driven decisions to support every aspect of their assets and process workflows. With the 不良研究所 AI Platform, one of the world鈥檚 largest food and beverage companies is saving $100,000s each year by optimizing asset utilization, reducing unplanned downtime, and preventing energy loss. Likewise, a leading global automotive supplier is utilizing 不良研究所鈥 machine-learning templates to predict the failure of its robotic welding stations, which has led to the manufacturer generating cost savings by minimizing manual quality inspections, increasing production throughput and improving customer satisfaction by reducing defective parts.
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