INDUSTRY FOCUS
Industry
Breaking new ground with innovative solutions
Accelerating digital transformation through innovation
Industry plays a central role in the global economy and is the driving force behind innovation, growth, and progress. In an era marked by rapid technological change, industry faces the challenge of adapting to new market conditions and sustainable practices.
With a focus on Industry 4.0, smart automation, data analytics, and connected systems are revolutionizing production processes and boosting efficiency. Companies are increasingly turning to sustainable production methods and digital solutions to ensure their competitiveness while also fulfilling their environmental and social responsibilities.
Join us in experiencing the exciting developments in the industrial sector that are paving the way for an innovative and sustainable future!
TECHBAR
Case studies, expert presentations, and discussions: As an annual event series, TECHBAR focuses on topics related to the latest digital technologies.
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Focus areas
Cloud consulting
We provide reliable and expert guidance as you make the transition to the cloud. From evaluating cloud projects, gathering requirements, and prototyping, to the complete migration of your data and applications to the cloud and the setup of a user-friendly cloud infrastructure.
Artificial intelligence and data science
Take advantage of the paradigm shift in IT and the availability of open-source datasets and models. Scale the value of your data through the cloud. Let cognitive services work for you and support you in making data-driven decisions. Our holistic consulting approach offers a process tailored to your company - from the feasibility analysis through your first prototype to the full implementation of your data science project.
Robotic process automation (RPA)
We automate recurring processes and tasks that tie up valuable resources.
Would you like to reduce your error rate, improve process quality, and give your employees more freedom to focus on value-added work? Dive into the world of RPA and work with us to identify potential use cases.
Databricks@Syncwork
Data volumes are growing exponentially, and fragmented data landscapes with a lack of interoperability are often the norm. These data silos hinder innovation; ERP data often remains unused, and machine learning or artificial intelligence use cases cannot be implemented. Databricks -an open-source, cloud-vendor-agnostic platform where data engineers, data scientists, and data analysts can collaborate within a single system - addresses precisely these challenges.
Through AI-driven process digitization, smart customer interfaces, and holistic cost management, the industry is paving the way toward agile, interconnected value creation and a sustainable competitive advantage.
Jörg Reimann | Executive Board Member
About Jörg Reimann
Our services
Whether it’s machine learning, artificial intelligence, or process automation —companies that want to remain competitive in the age of digitalization must adapt their traditional business models. At the same time, they must hold their own amid advancing globalization, as resources become scarcer and the shortage of skilled workers grows.
We support you through every phase of your digital transformation, taking into account all organizational, technological, human, and social dimensions.
Our expertise is your advantage
We combine technical expertise, strategic foresight, and comprehensive industry knowledge to work with you to master the mobility challenges of tomorrow.
Understanding the Automotive Industry
- Knowledge of the value chain: From suppliers through production to sales and after-sales service
- Expertise in Scrum, Kanban, and SAFe project environments
- Comprehensive expertise in process and schedule management
Data Management and AI
- Process optimization through the integration of data from ERP and CRM systems (360-degree customer view)
- Expertise in demand management
- Expertise in data management (IT governance)
- Implementation and operation of data lakehouse architectures (e.g., Databricks)
- Development of AI and machine learning models
Digital Transformation Management
- Support in implementing change management processes, particularly during the transition to sustainable and digital business models
- Technical support for reorganizing corporate structures to become more agile and efficient
- Promoting collaboration between OEMs, suppliers, startups, and other stakeholders







