AWS Announces General Availability of AWS IoT TwinMaker - Seite 3

AWS IoT TwinMaker is generally available today in US East (N. Virginia), US West (Oregon), Asia Pacific (Singapore), Asia Pacific (Sydney), Europe (Frankfurt), and Europe (Ireland) with availability in additional AWS Regions coming soon.

Siemens Digital Industries Software is a leader in industrial software including digital twin solutions that connect information technology and operational technology across the entire product lifecycle through design, manufacturing, production, and service. “Through this collaboration, we can leverage AWS IoT TwinMaker and other AWS services within the low-code, data management, visualization, simulation, and industrial IoT applications in our Xcelerator portfolio, making it easier for customers to create digital twin solutions that can scale from the simplest to the most complex use cases,” said Brenda Discher, Senior Vice President for Global Strategy & Marketing, Siemens Digital Industries Software. “Together, we are helping our customers increase manufacturing productivity and flexibility, optimize material costs, and better meet their energy and sustainability goals.”

Carrier is a leading provider of healthy, safe, sustainable, and intelligent building and cold chain solutions. “At Carrier, we are pushing to drive more innovation and connectivity to make buildings and the cold chain more sustainable, efficient, and comfortable. To enable rapid development of more digital solutions, we embarked on the development of a shared services platform—carrier.io—as the foundation of all Carrier digital services,” said Dan Levine, Senior Director IoT, Cloud, and Software Engineering at Carrier. “AWS IoT services will be a key enabler to accelerating the development of our carrier.io IoT platform, and AWS IoT TwinMaker will be used to provide critical asset modeling for the platform, enabling our applications to easily create and integrate digital twins of real-world systems. These applications allow our customers to use their data alongside advanced machine learning and data analytics to decrease service costs, optimize maintenance schedules, and increase reliability, efficiency, and profitability of their Carrier equipment.”