Connecting shop floor workers with teams across business functions through AI-powered collaborative apps
With the new Teamcenter app for Microsoft Teams, anticipated later in 2023, the companies are enabling design engineers, frontline workers and teams across business functions to close feedback loops faster and solve challenges together. For example, service engineers or production operatives can use mobile devices to document and report product design or quality concerns using natural speech. Through Azure OpenAI Service, the app can parse that informal speech data, automatically creating a summarized report and routing it within Teamcenter to the appropriate design, engineering or manufacturing expert. To foster inclusion, workers can record their observations in their preferred languages which is then translated into the official company language with Microsoft Azure AI. Microsoft Teams provides user-friendly features like push notifications to simplify workflow approvals, reduce the time it takes to request design changes and speed up innovation cycles. The Teamcenter app for Microsoft Teams can enable millions of workers who do not have access to PLM tools today to impact the design and manufacturing process more easily as part of their existing workflows.
Keeping factories running with AI-powered
automation software engineering
Siemens and Microsoft are also collaborating
to help software developers and automation engineers accelerate the code
generation for Programmable Logic Controllers (PLC), the industrial computers
that control most machines across the world’s factories. At Hannover Messe, the
companies are demonstrating a concept for how OpenAI’s ChatGPT and other Azure
AI services can augment Siemens’ industrial automation engineering solutions.
The showcase will highlight how engineering teams can significantly reduce time
and the probability of errors by generating PLC code through natural language
inputs. These capabilities can also enable maintenance teams to identify errors
and generate step-by-step solutions more quickly.
artificial intelligence is emerging as one of the most important technologies
for digital transformation,” said Cedrik Neike, Member of the Managing Board of
Siemens AG and CEO Digital Industries. “Siemens and Microsoft are coming
together to deploy tools like ChatGPT so we can empower workers at enterprises
of all sizes to collaborate and innovate in new ways.”
Finding and preventing product defects
with industrial AI
Detecting defects in production early is
critical to prevent costly and time-consuming production adjustments.
Industrial AI like computer vision enables quality management teams to scale
quality control, identify product variances easier and make real-time
adjustments even faster. In Hanover, teams will demonstrate how, using
Microsoft Azure Machine Learning and Siemens’ Industrial Edge, images captured
by cameras and videos can be analyzed by machine learning systems and used to
build, deploy, run and monitor AI vision models on the shop floor.
This collaboration is part of the
longstanding strategic relationship between Siemens and Microsoft, built on
over 35 years of joint innovation with thousands of customers. Other areas of
collaboration include Senseye on Azure
, enabling companies to run predictive maintenance at enterprise
scale and support for customers that seek to host their business applications
in the Microsoft Cloud to run solutions from the Siemens Xcelerator
open digital business platform, including Teamcenter
on Azure. Siemens is also partnering with Microsoft as part of its
zero trust strategy