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Press Release05 February 2024Digital IndustriesNuremberg
Generative artificial intelligence takes Siemens' predictive maintenance solution to the next level
The new generative AI functionality helps to counteract the skill shortage in the maintenance sector.
Synergy of generative AI and machine learning
Senseye Predictive Maintenance
uses artificial intelligence and machine learning to automatically generate
machine and maintenance worker behavior models to direct users’ attention and
expertise to where it’s needed most. Building on this proven foundation, now a
generative AI functionality is being introduced that will help customers bring
existing knowledge from all of their machines and systems out and select the
right course of action to help boost efficiency of maintenance workers.
Currently, machine and maintenance data are
analyzed by machine learning algorithms, and the platform presents
notifications to users within static, self-contained cases. With little
configuration, the conversational user interface (UI) in Senseye Predictive
Maintenance will bring a new level of flexibility and collaboration to the
table. It facilitates a conversation between the user, AI, and maintenance experts:
This interactive dialogue streamlines the decision-making process, making it
more efficient and effective.
One of Senseye’s customers who will leverage
the new generative AI capability is BlueScope, an Australian steel manufacturer.
„Senseye Predictive Maintenance has been more
than a tool, it’s a catalyst for change in our organization. The innovative
generative AI functionality from Siemens will help to accelerate our efforts to
scale knowledge sharing across our global teams and will continue to support
our ambitious digital transformation strategy. ” – Colin Robertson, Digital
Transformation Manager, BlueScope
From predictive maintenance to prescriptive maintenance
In the app, generative AI can scan and group
cases, even in multiple languages, and seek similar past cases and their
solutions to provide context for current issues. It’s also capable of
processing data from different maintenance software. For added security, all information is processed within a private cloud environment, safeguarded against external access. Additionally, this data will not be used to train any external generative AI. Data doesn’t need to be
high-quality for the generative AI to turn it into actionable insights: With little
to configure, it also factors in concise maintenance protocols and notes on
previous cases to help increase internal customer knowledge. By better contextualizing
information at hand, the app is able to derive a prescriptive maintenance
strategy.
The new generative AI functionality in the
Software-as-a-Service (SaaS) solution Senseye Predictive Maintenance will be
available starting this spring for all Senseye users. The combination of
generative AI and machine learning creates a robust, comprehensive predictive
maintenance solution that leverages the strengths of both.
Driving productivity and digital transformation
For Siemens, introducing generative AI into
predictive maintenance isn’t just about enhancing the technology; it’s about
driving tangible benefits for manufacturers. By enabling faster and easier
maintenance decisions, it increases productivity, promotes sustainability, and
accelerates digital transformation across the entire organization. It also
addresses skill shortages in the industry, because it captures and resurfaces
expert knowledge from the aging workforce. In doing so, it empowers
less-experienced shop-floor employees, making them more efficient and effective
in their roles.
“By harnessing the power of machine learning,
generative AI, and human insights, we’re taking Senseye Predictive Maintenance
to the next level. The new functionality makes predictive maintenance more
conversational and intuitive – helping our customers to streamline maintenance
processes, enhance productivity and optimize resources. This marks an important
milestone in countering skill shortage and supporting our customer’s digital
transformation. “ – Margherita Adragna, CEO, Customer Services for Digital Industries,
Siemens AG
For more information on Senseye Predictive
Maintenance, please see
siemens.com/senseye-predictive-maintenance
siemens.com/senseye-predictive-maintenance
Find out more about how BlueScope, an
Australian steel company, enhanced its operational efficiency with Senseye
Predictive Maintenance
here
Technology company Siemens is harnessing the
power of generative artificial intelligence (AI) to help industrial companies
drive innovation and efficiency as it constantly evolves its AI portfolio. At
SPS 2023 Siemens demonstrated another generative AI offering:
The Industrial Copilot – a generative AI-powered assistant in a production machine.
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Siemens Digital Industries (DI) is an innovation leader in automation and digitalization. Closely collaborating with partners and customers, DI drives the digital transformation in the process and discrete industries. With its Digital Enterprise portfolio, DI provides companies of all sizes with an end-to-end set of products, solutions and services to integrate and digitalize the entire value chain. Optimized for the specific needs of each industry, DI’s unique portfolio supports customers to achieve greater productivity and flexibility. DI is constantly adding innovations to its portfolio to integrate cutting-edge future technologies. Siemens Digital Industries has its global headquarters in Nuremberg, Germany, and has around 72,000 employees internationally.
Siemens AG (Berlin and Munich) is a leading technology company focused on industry, infrastructure, transport, and healthcare. From more resource-efficient factories, resilient supply chains, and smarter buildings and grids, to cleaner and more comfortable transportation as well as advanced healthcare, the company creates technology with purpose adding real value for customers. By combining the real and the digital worlds, Siemens empowers its customers to transform their industries and markets, helping them to transform the everyday for billions of people. Siemens also owns a majority stake in the publicly listed company Siemens Healthineers, a globally leading medical technology provider shaping the future of healthcare.
In fiscal 2023, which ended on September 30, 2023, the Siemens Group generated revenue of €77.8 billion and net income of €8.5 billion. As of September 30, 2023, the company employed around 320,000 people worldwide. Further information is available on the Internet at www.siemens.com.
In fiscal 2023, which ended on September 30, 2023, the Siemens Group generated revenue of €77.8 billion and net income of €8.5 billion. As of September 30, 2023, the company employed around 320,000 people worldwide. Further information is available on the Internet at www.siemens.com.