AWS Announces General Availability of Amazon Lookout for Equipment - Seite 4

Embassy of Things (EOT) is the creator of Twin Talk, a secure and scalable ETL++ Data Delivery System designed to tap into the unrealized value hidden within operational data from SCADA systems and historians and enable industrial operating companies to leverage the power of cloud-based data analytics, machine learning, and AI. "Using predictive analytics and anomaly detection for not just one, but across all production sites is the key that enables our customers to achieve the highest level of production optimizations as well as cost and emission reductions. Our Twin Talk System liberates operational data to enable cloud-based, event-driven real-time architectures for Amazon Cloud Services like IoT SiteWise and S3,” said Matt Oberdorfer, CEO of Embassy of Things. “We are leveraging Amazon Lookout for Equipment to our suite of solutions which enables an automated machine learning process that improves the accuracy of detecting the most meaningful insights and enables insights to action faster. Lookout for Equipment is a true game-changer because it puts AI in the hands of maintenance engineers by abstracting away traditionally data-science-heavy steps being scalable effectively across assets."

RoviSys is a Global Operational Technology systems integrator, and a leading independent provider of comprehensive process automation solutions and services. "Machine learning is one of the most promising technologies for industrial customers, and has the potential to provide major value by decreasing maintenance and operational costs,” said Bryan DeBois, director of industrial AI at Rovisys. “RoviSys is working with AWS to integrate Amazon Lookout for Equipment with data from on-premises equipment and infrastructure using AWS IoT services, in order to enable advanced machine learning maintenance solutions at scale. This technology lets our customers leverage existing infrastructure, but unlock even more value from that data quickly and easily."

Seeq is an advanced analytics solution that enables engineers and subject matter experts in process manufacturing organizations to rapidly investigate and share insights from data in historians, IIoT platforms, AWS services, and manufacturing and business systems. “We are pleased to be announcing our work with AWS to develop solutions that deliver diagnostic, monitoring, and predictive analytics powered by big data and machine learning innovations,” said Megan Buntain, director of cloud partnerships at Seeq Corporation. “Using Seeq with Amazon Lookout for Equipment will help organizations turn data into insights that deliver continuous improvement and sustainability objectives.”