On 3. and 4. April the 4. edition of the VDI/VPP seminar takes place in Düsseldorf, covering industry relevant topics around the introduction and improvement of innovation processes. It serves as an opportunity to connect and learn from the industry best practice. Speakers come from reputable companies, such as thyssenkrupp, Andreas Stihl, Pilz, Rheinmetall, Wilo, BHS Corrugated and the CEIPI, University of Strasbourg. Before the event, we interviewed Stephan Ising, Head of IP Strategy at thyssenkrupp Intellectual Property GmbH, about his presentation.

Question 1: How do you see AI transforming the field of intellectual property management, particularly in tasks like patent analysis and portfolio optimization?

Stephan Ising: AI is revolutionizing intellectual property management by automating tasks such as patent analysis and portfolio optimization, allowing for more efficient and accurate decision-making. AI tools can quickly analyze vast amounts of patent data to identify trends, potential infringements, and opportunities. This not only saves time but also enhances the quality of IP assessments, enabling companies to make more informed strategic decisions. Furthermore, AI-driven tools can help in optimizing IP portfolios by identifying redundant or obsolete patents, thus reducing maintenance costs. By leveraging AI, companies can transform their IP management from a reactive to a proactive function, driving innovation and competitiveness.

Question 2: How can companies effectively use AI to enhance their IP strategy, and what are some best practices for integrating AI tools into existing IP management systems?

Stephan Ising: Companies can effectively use AI to enhance their IP strategy by integrating AI tools into existing IP management systems to automate routine tasks and provide deeper insights. Best practices include starting with clear objectives, such as improving patent search efficiency or optimizing IP portfolio management. It’s also important to ensure that there is adequate training for IP professionals to leverage these tools effectively. Furthermore, companies should continuously monitor the performance of AI systems and change them as needed to maintain relevance. By adopting a structured approach to AI, companies can maximize the benefits of AI in IP management while minimizing potential risks.

Question 3: What role do you believe IP plays in the development and deployment of AI technologies, particularly in terms of protecting AI-related inventions and data?

Stephan Ising: IP plays a crucial role in the development and deployment of AI technologies by providing legal protection for AI-related inventions and data. Patents can safeguard AI use cases, while copyrights protect software code and databases. Additionally, trade secrets are essential for protecting proprietary AI data and training models. As AI technologies evolve, IP strategies must adapt to ensure that innovations are protected while also facilitating collaboration and open innovation, which are critical for AI advancement.

Question 4: What future challenges or opportunities do you foresee in the intersection of AI and IP, and how should companies prepare to address these developments?

Stephan Ising: In the future, the intersection of AI and IP will present both challenges and opportunities. One challenge is the legal implications of AI-generated inventions, which raise questions about inventorship. Companies should prepare by staying informed about regulatory developments and engaging in industry discussions to shape future policies. Additionally, companies must invest in education and training to ensure that they are equipped to handle AI-related IP issues effectively. By being proactive, companies can leverage AI to enhance their IP strategies and remain competitive in a rapidly evolving technological landscape.

About the interviewee

Stephan Ising studied industrial engineering with a focus on mechanical engineering at Westfälische Hochschule and University of Duisburg-Essen. During his studies, he worked as a student trainee for Siemens AG and thyssenkrupp AG. Since 2015, he has supported thyssenkrupp Intellectual Property GmbH in all IP strategy tasks and is heading the IP Strategy / IP Research department since July 2020.