Collaboration of artificial and human intelligence in requirements engineering by using a self-learning system for a maximum of reuse of expert knowledge
In this webinar, we will demonstrate how to overcome the challenges to properly manage requirements from the RFQ/Tender phase to the engineering phase in an end-to-end solution.
For companies responding to RFQs/Tenders, the quotation process is complex and introduces a high level of risk. It is crucial to managing the requirements from the first touchpoint with external documents throughout the entire engineering process, including the collaboration of all related stakeholders. A major part of this scenario is the re-usage of existing know-how.
Learn how AI can help you in this process to collaborate best with your human intelligence.
Portfolio Development Executive
Thorsten Stahlberg is helping companies to improve their Software / Application Lifecycle Management for more than 20 years and in various industries, often highly regulated. At Siemens, he develops strategies for companies to introduce or extend Polarion ALM to support the entire Development Lifecycle with a big focus on managing Requirements in an efficient and modern way.
CEO and Founder
With its product DRIM (Digitalized Requirements & Interface Management) DRIMCo introduces AI based requirements understanding and knowledge digitalization into the requirements processes in industry. Before founding DRIMCo Bernt Andrassy worked for more than 10 years for Siemens developing business and technologies in the domain of AI based voice and text understanding digitalizing industrial processes.