#digital innovation

The prediction of properties of substances and mixtures, the development of new materials from scratch, the enhancement of process safety and stability by machine view or the organization of big data are only a few examples how applying artificial intelligence software may help in science and process industry.

Lectures covering AI and data analytics

What sets an autonomous system apart is not its AI-driven potential to make smart decisions, but its viability. The ability to interact with others. This requires interfaces, sensors, and networks to communicate with machines, humans, and the environment. This may also include self-maintenance and self-repair. What if such systems were able to pay and shop on their own? Join us to discuss the advances and risks associated with a machine economy.

Lectures covering autonomous systems

Increasingly shorter product life cycles, high product diversity and fast changing demand require a high flexibility of production plants. This session will highlight novel, modular plant concepts, supported by new digitalization and automation approaches. These concepts enable rapid and intelligent adaption to new conditions, including changed production volumes, variable feedstocks, or flexible changes of products.

Lectures covering modular production

Data is key for production and business. Similar to the flow of materials, data streams are weaving through the industry 4.0. The industrial transformation is connecting assets, facilities, and sites as well as building digital twins. From edge to cloud, data and information must be protected and secured. This opens new opportunities for a data economy with distributed ledger technologies. We invite everyone to examine the available concepts, frameworks, and technologies and contribute to their creation.

Lectures covering the process industry transformation