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Process Automation in the Digital Factory

As new technologies continue to breach the manufacturing industry, it’s becoming increasingly beneficial to utilize these advanced technologies to help enhance both process and manufacturing operations with AI and IoT.

IoT for Automobile Industry

From lock systems to the search for parking space with IoT technologies, the automotive industry can create solutions like connected car systems, driver-assistance systems, in-vehicle infotainment systems, navigation & telematics solutions, predictive maintenance solutions, vehicle-to-vehicle applications, and vehicle to infrastructure applications.

IoT for Science Labs

Oscilloscopes in the pocket, spectrometer on phones and connected sensors everywhere, the system of connecting machines and sensors is finally making its way into the laboratory, giving researchers peace of mind and restoring their work–life balance.

AI Assistants for Work and Entertainment

AI assistant are always ready to help when and where you need it. They can manage the schedule, support everyday tasks, control smart home devices, make users enjoy entertainment like playing music and videos. AI assistants can be controlled with the voice.

Voice Assistants for Cars

The number of users who use voice assistants in the car is expected to reach 95% by 2022. Users use voice assistants in their vehicles to play music, check directions, or access other in-car functions, like making a phone call. But, how dependent are existing assistants on cloud providers and proprietary technology. Well-functioning alternatives are possible based on open source technologies.

Digital Transformation in the Textile Industry

The textile industry is currently experiencing the effects of digitalization - increasing individualization, networking of devices and people as well as progressive automation of production and logistics processes are increasingly coming into focus.

Digital Twins in Production

Digital twins are now being used to manage the performance, effectiveness, and quality of a manufacturer’s fixed assets such as manufacturing machines, lines, and plants. When advanced visualization, IoT, and analytics are applied to these assets, manufacturers can take a more strategic and holistic approach to asset management.

AI for Neuroscience

AI methods enable the interpretation of large multimodal datasets that can provide unbiased insights into the fundamental principles of brain function, potentially paving the way for earlier and more accurate detection of brain disorders and better informed intervention protocols.

Independent Cloud AI Infrastructure

Artificial intelligence is being embedded into IT infrastructure to help streamline workloads and automate repetitive tasks. AI tools can help to monitor, manage, and even self-heal systems when an issue occurs.

AI for Publishing Industry

Use image and voice recognition as part of your content creation, analyze comments and automate content creation. Areas where publishers are currently using AI include, automated pricing, dynamic advertising, customer service and chatbots.

Event Solutions and IoT

The use of IoT technologies goes far beyond remote lighting in smart houses controlled via a mobile application. The event planning industry depends on smart data use more than any other industry. Here everything starting from scheduling events to selling tickets to attendees needs valid data. Use-cases include up-to-date data that let event planners make informed decisions, keeping guests stress-free, and sending automatic alerts to the audience.

IoT for Healthcare

IoT has applications in healthcare that benefit patients, families, physicians, hospitals and insurance companies. IoT can help to track patients' adherence to treatment plans or any need for immediate medical attention. IoT enables healthcare professionals to be more watchful and connect with the patients proactively.

AI for Software Engineering Companies

An application of AI lies in software engineering. AI provides robust approaches for software development in order to analyze and evaluate complex software and its development processes. Repository Mining, Machine Learning, Big Data Analytics and Software Visualization enable targeted insights and powerful predictions for software quality, software development and software project management.

AI for Visual and Cinematic Industry

Use AI to enhance images in the visual and creative sector, make effects more realistic and change facial appearances, age and expressions. AI/ML and deep learning is having a huge impact in computer graphics research transforming VFX production.