Arcelik selects AWS Cloud for machine learning and analytics

21Sep - by aiuniverse - 0 - In Machine Learning

Source: infotechlead.com

Amazon Web Services (AWS), an Amazon.com company, announced that Arcelik, a leading manufacturers of household appliances, has selected AWS as its cloud provider for machine learning and analytics across its operations.

Arcelik, which owns 12 global appliance brands including Beko and Grundig, is relying on AWS services to transform itself into a data-driven organization and provide enhanced customer experiences, innovate new services, and lower costs across its operations in nearly 150 countries.

By adopting AWS analytics, compute, database services, Internet of Things (IoT), machine learning, and storage, Arcelik is gaining deeper visibility across its organization, optimizing processes related to production and quality control, and driving efficiency across all business segments, from customer care to manufacturing.

Arcelik is establishing an analytics and machine learning program, powered by AWS. This will aggregate and examine data from its supply chain, maintenance, manufacturing, quality control, and sales operations to achieve predictive insights for evaluating customer satisfaction ratings, forecasting growth, and managing inventory.

Arcelik began this program by building a data lake with Amazon Simple Storage Service (Amazon S3) using AWS Lake Formation, for quickly ingesting, cataloging, cleaning, and securing data, and AWS Glue, for preparing and loading data for analytics.

Arcelik is expanding its use of AWS analytics, IoT, and machine learning services to its factories and product lines, building on a project to develop cloud-connected appliances. The company collects data from more than 1 million deployed smart appliances, using AWS IoT Core to easily and securely connect these appliances to the cloud and other devices.

It also uses Amazon Elasticsearch Service to gain insights from this machine-generated data, enabling Arcelik to analyze consumer usage patterns and diagnose potential performance issues remotely.

Arcelik is rolling out solutions on its manufacturing lines, using machine learning models built with Amazon SageMaker, to identify process improvements and enhance quality control.

Arcelik developed a Smart Component Matching solution on AWS, enabling the company to examine real-time and historical production line data with service data to help the factory’s automatic-production system identify the product parts that are compatible with other components, resulting in better production quality.

Arcelik is implementing these solutions at its washing machine factory in Romania, which was recently included in the World Economic Forum’s ‘Global Lighthouse Network’ – an initiative recognizing some of the world’s most innovative and advanced manufacturing facilities. The company plans to work with AWS to roll out these solutions to additional Arcelik factories.

“AWS is a strategic resource in Arcelik’s digital transformation and global growth, by keeping us agile and solidifying our position as an industry pioneer through the use of advanced analytics, IoT, and machine learning services,” said Utku Barış Pazar, Arcelik’s chief strategy and digital officer.

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