Siemens unveils further plans for the Digital Factory Division
In a blog post on LinkedIn, the c...
German manufacturing giant Siemens has revealed more details about the vision for its ‘Digital Factory Division’.
In a blog post on LinkedIn, the company’s Head of Planning and Controlling at the Siemens Digital Factory, Stephen Pierer von Esch, said the scheme will transfer complex data into support by separating surfeit hype from important information.
Siemens aims to connect technologies through its plan, allowing it to tackle future problems within the industry. In order to do so, the company has established it’s DigiRoadmap to highlight key trends within the industry and evaluate their potential impact on E2E business.
In his posting, von Esch detailed the key aspects of the firm’s DigiRoadmap as follows:
- Common Data Lake: Basis for becoming a data driven organization is a trusted and integrated data lake serving as single source of truth
- Analytics & Visualisation: Moving from descriptive and diagnostic to action oriented analytics and from static standard reporting to a flexible, self-service BI landscape
- Predictive & Simulation: Evolving from predictive use cases to complex simulations and finally closed-loop performance management by taking action on results of performance monitoring blended with updated plans
- Robotics & Digital Assistance: Digital hands running through structured workflows while cognitive bots handle unstructured data and apply probability weighted judgement where straightforward decision making is not enough
In order for the strategy to be executed effectively, Siemens is to focus on developing its ‘digital DNA’ in order for new capabilities to encourage the benefits of the plan.
“There is also the question around centralisation versus decentralisation in order to manage the trade-off between standardisation and experimentation,” von Esch wrote.
“While the responsibility of executing our digital strategy clearly lies within the organization, there is a benefit in supporting the individual initiatives with a capability centric approach to allow agility and drive synergies.”
Siemens will be launching its Data Visions lab, featuring experts from a range of technology fields that will enable the firm to implement new technologies such as robotics and data analytics.
von Esch also discussed how the German manufacturer will be ready to embrace new future technologies, no matter how challenging.
“We have to be aware that digital processes in the future look different to what we were used in the past,” he said.
However, he also noted that digital transformation is more than just the digital technology, emphasing the importance of empowering a workforce to enable innovation and change.
Fluent.ai x BSH: Voice Automating the Assembly Line
Fluent.ai has deployed its voice recognition solutions in one of BSH’s German factories. BSH leads the market in producing connected appliances—its brands include Bosch, Siemens, Gaggenau, NEFF, and Thermador, and with this new partnership, the company intends to cut transition time in its assembly lines.
According to BSH, voice automation will yield 75-100% efficiency gains—but it’s the collaboration between the two companies that stands out. ‘After considering 11 companies for this partnership, we chose Fluent.ai because of their key competitive differentiators’, explained Ion Hauer, Venture Partner at BSH Startup Kitchen.
What Sets Fluent.ai Apart?
After seven years of research, the company developed a wide range of artificial intelligence (AI) software products to help original equipment manufacturers (OEM) expand their services. Three key aspects stood out to BSH, which operates across the world and in unique factory environments.
- Robust noise controls. The system can operate even in loud conditions.
- Low latency. The AI understands commands quickly and accurately.
- Multilingual support. BSH can expand the automation to any of its 50+ country operations.
How Voice Automation Works
Instead of pressing buttons, BSH factory workers will now be able to speak into a headset fitted with Fluent.ai’s voice recognition technology. After uttering a WakeWord, workers can use a command to start assembly line movement. As the technology is hands-free, workers benefit from less physical strain, which will both reduce employee fatigue and boost line production.
‘Implementing Fluent’s technology has already improved efficiencies within our factory, with initial implementation of the solution cutting down the transition time from four seconds to one and a half”, said Markus Maier, Project Lead at the BSH factory. ‘In the long run, the production time savings will be invaluable’.
Future Global Adoption
In the coming years, BSH and Fluent.ai will continue to push for artificial intelligence on factory lines, pursuing efficiency, ergonomics, and a healthy work environment. ‘We started with Fluent.ai on one factory assembly line, moved to three, and [are now] considering rolling the technology out worldwide’, said Maier.
Said Probal Lala, Fluent.ai’s CEO: ‘We are thrilled to be working with BSH, a company at the forefront of innovation. Seeing your solution out in the real world is incredibly rewarding, and we look forward to continuing and growing our collaboration’.