Graph databases are an excellent choice for storing and querying connected data, allowing information to be stored in a logical and complementary way that reflects the domain being worked in. However, identifying graph-shaped problems can be challenging, which is why webinars like "Identifying Graph-Shaped Problems" featuring Lju Lazarevic provide valuable tips and tricks for spotting certain structures in data and understanding whether it lends itself to working with a graph. Additionally, webinars like "Top 10 Tips for Responsible AI – How Graph Technology Adds Context" featuring Amy Hodler highlight the importance of responsible AI development and application, demonstrating how graphs can add essential context to guide more robust, reliable, and trustworthy outputs.