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Siemens Sanayi ve Ticaret A.Ş.

Company (Industry)

www.siemens.comİstanbul, Türkiye
1 profile visit

About

Siemens Türkiye R&D team develops Siemens’ technology and innovation strategy, creates advanced technologies and offers them to the industry, and supports business excellence with consultancy and engineering services.

As Siemens Türkiye R&D, we would be happy to take part in projects as a strategic partner. Our expertised and interested areas are industrial automation, digital transformation, Gen/Agentic Artificial Intelligence, LLM, MLops, robotic, edge computing, real time communication, 5g/6g, digital twin, data orchestration and management, cyber security, energy efficiency, e-mobility.

Also, as Siemens Türkiye, we aim to reduce environmental impacts with the net zero emission target and offer sustainable solutions with smart cities, energy efficiency and clean energy projects. With the understanding of creating sustainable value, we help societies and companies reduce their environmental impacts with green technologies and innovative systems. We offer innovative solutions that enable digital transformation, increased efficiency and sustainability. We optimize business processes with industrial solutions, smart technologies and energy efficiency. In this way, we help to our partners gain a competitive advantage and take a strong step into the future.

Data technologies, data ecosystems and cross-linking

Data ecosystems for the realisation of circular value creation exploiting the full potential of digitalisation – e.g., harnessing existing, purpose-built platform solutions.Interoperability of CVC-relevant data ecosystems, quality assurance and traceability across systems(AI based) recognition systems (e.g. image recognition) to evaluate materials, components and products and determine the best use paths(AI based) process and system control technologies(AI based) Material and Product Design, Decomposition and SeparationSimulation models and predictive analytics to assess the scalability of circular processes across industriesAlgorithm that shows the (positive) impact of a Circular Economy process or Circular Economy product

Other enabling technologies

Manufacturing and machine learning, e.g., to increase the flexibility of industrial processes, modular approaches, reduce use of materials, quality assurance and certification of products)AI-driven diagnostic systems, e.g., for assessing the viability of reused, remanufactured, and recycled componentsIndustry 4.0 technologies (IoT, big data analytics) for monitoring and managing circular value chains(Advanced/smart) Sensors, e.g., enabling materials, components and product flows measurementRobotic / handling - and assistance systemsLife cycle assessment / Product life cycle management – e.g., Digital Twin / Digital Product Passport

Representatives

Okan OZTURKMENOGLU

Software Developer/Engineer

Siemens Sanayi ve Ticaret A.Ş.