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Albers advocates for a proactive approach to IP, emphasising building and managing an IP portfolio through identification, protection, and exploitation of intangible assets. He outlines a framework for developing tailored IP strategies, incorporating business goals, competitor analysis, risk assessment, and integration with other business functions. Finally, he stresses the importance of effective implementation and management of these strategies, highlighting the need for employee awareness, technological tools, clear processes, and performance monitoring.

The book emphasises mapping AI innovations – from training data to output – to align IP strategies with business goals. It advocates for a proactive approach, showcasing IP as a driver of growth through investment attraction, licensing, and acquisitions. Furthermore, it debunks common myths surrounding AI patentability and offers practical guidance and checklists for implementation, highlighting the urgency of timely IP protection in the rapidly evolving AI landscape. Finally, the book considers future trends like AI-generated inventions and evolving regulations.

This webinar covers all relevant topics like AI fundamentals, different AI tools (cloud-based versus local, general-purpose versus patent-specific), and their application throughout the patent drafting workflow. The webinar also addresses data security concerns and provides practical examples using tools like ChatGPT and Rowan Patents. Key takeaways include effective prompt engineering techniques and a step-by-step guide to AI-assisted patent application creation.

Together with Håvard Almås this Episode focuses on practical, application-based learning, tailoring instruction to specific contexts and learner needs. A key component involves using serious games to enhance engagement and collaborative learning. The authors emphasise determining specific learning objectives and making training relevant to participants’ daily realities.

True comprehension of patents involves grasping the technical content, identifying competitive advantages, and understanding the underlying scientific principles. This episode highlights the importance of context and visualisation in patent understanding, emphasising its strategic value for innovation, product development, and avoiding legal issues. It concludes that a holistic, interdisciplinary approach is crucial for effective patent understanding in today’s complex technological landscape.

The authors of the original paper illustrate this with examples, emphasizing the importance of understanding a company's business model and protecting it strategically. They highlight the need for businesses to consider both freedom to operate and preventing imitation, and propose methods to accomplish both. Furthermore, they suggest that patent attorneys need a broader understanding of business strategy to effectively implement this approach, advising close collaboration between legal and business functions. Finally, the authors stress the significance of adapting IP strategies to the dynamic nature of digital markets and business ecosystems.

The book described helps developers to protect and monetise their creations within the European legal framework. The book also addresses contract negotiation and infringement risks, offering strategies to mitigate legal issues and maximise profitability.

These value influencing factors range from addressing a real-world problem and having strong market potential to ensuring enforceable claims and ease of infringement detection. The author, an expert in patent portfolio management, uses a real-world case study and his company's patent valuation platform, Patentiv, to illustrate these points. The post emphasizes the importance of proactive strategies to maximise a patent's commercial success, transforming it from a legal document into a valuable asset.

Five key challenges are identified: bias in training data, the complexity of patent language, the inability to account for legal changes, limited understanding of patent drawings, and difficulties in evaluating subjective concepts like novelty. Solutions involve hybrid approaches, combining AI with human expertise, using advanced NLP techniques, and incorporating real-time legal updates and litigation data.

This episode investigates the patent application strategies of Airbus and Boeing, exploring how their approaches evolved over two decades. It proposes a three-phase model: passive, aggressive, and sophisticated, aligning these phases with the theoretical framework of dynamic capabilities in strategic management. The underlying study uses patent data to empirically test this model, revealing that while both companies broadly followed the proposed pattern, their specific paths differed due to competitive pressures and organisational factors. The findings support the integration of intellectual property management and dynamic capabilities theories within strategic management. Ultimately, the research highlights the complex interplay between internal firm dynamics,...