“Operationalizing AI with explainability steps is mission-critical in manufacturing settings to assure accurate and reliable anomaly detection for confidence in product quality." Karthik Ramakrishnan, Head of Industry Solutions at Element AI
MONTREAL (PRWEB) November 05, 2019
Element AI, a global developer of artificial intelligence-powered (AI) software services and products that help organizations operationalize AI, today announced it has entered into a strategic relationship with Aisin Seiki Co. Ltd., Japan. Element AI will collaborate with the Aisin Group to implement beneficial explainability features that facilitate factory acceptance and customer approval of existing computer vision technology deployed in Aisin Group’s automotive manufacturing operations.
Manufacturers are rapidly adopting AI to facilitate how they identify and verify anomalies that can compromise quality during production processes. Recommendations made by a machine learning (ML) algorithm without an easy-to-follow explainability path often causes distrust with users and non-compliance with customers. Explainability features overcome these adoption challenges, amplifying the business value of machine learning for manufacturers.
“As a manufacturing automotive parts supplier, we place great attention to each part and the continued quality control for all manufactured goods,” said Mr. Yasuo Ozawa, Associate Officer of Aisin Seiki.
“Visually tracking and watching for any possible anomaly requires a high level of computer vision accuracy. Incorporating Explainable AI in our factories is an example of our commitment to assuring confidence in the quality and reliability of our processes and products,” said Mr. Katsuaki Takahashi, Group Manager of Aisin Seiki.
Element AI includes Explainability features in many of its AI software products and is developing AI solutions to help address the three biggest factors facing manufacturers today:
- Projected global skills gap from lost ‘skills and knowledge transfer’
- High velocity and volume of data generated due to Industry 4.0 and IoT connected devices
- Rapidly evolving and changeable consumer demand
All of these data and learning challenges require sophisticated machine learning applications to analyze, learn, recognize, and predict—with explained steps—how the algorithm arrived at its recommendation or analysis.
“Operationalizing AI with explainability steps in critical manufacturing settings is often overlooked or provided as an afterthought in many markets—and few companies have realized success in compliance, acceptance and adoption in their operations,” said Karthik Ramakrishnan, Head of Industry Solutions at Element AI. “We are excited to begin this collaboration between Aisin Seiki Group and our Element AI Advisory and Enablement team to design and implement Explainability protocols for more accurate and reliable anomaly detection, which will ensure confidence in product quality,” added Ramakrishnan.
To learn how Element AI is working with global manufacturers and enterprises to evaluate their AI maturity, provide advice, enable and integrate AI software solutions contact: https://www.elementai.com/contact.
For more information about Element AI, visit: https://www.elementai.com.
About Aisin Seiki Co. Ltd. / Aisin Group
Aisin Seiki develops, manufactures and sells automotive parts and energy-related products. Founded in August 1965. Head Office is located in Kariya, Aichi, Japan. Representative is Kiyotaka Ise, President. Number of employees is 119,732 (consolidated).
About Element AI
Element AI is a global developer of AI software that helps people work smarter. Founded in 2016 by serial entrepreneurs including JF Gagné and A.M.Turing Award recipient, Yoshua Bengio, PhD, Element AI turns cutting-edge research and industry expertise into software solutions that exponentially learn and improve. Its end-to-end offering, including advisory services, AI enablement tools and products, aims at helping large organizations operationalize AI and create real business impact. Element AI maintains a strong connection to academia through research collaborations and takes a leadership position in policy-making around the impact of technology on society. https://www.elementai.com.
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