At Google Cloud Next, attendees should consider several key factors when exploring data and AI technologies. Firstly, they need to ensure accuracy and relevance at scale from their vector search technologies, as this is crucial for effective results. Graph databases may be more viable than previously thought, offering valuable connections between data points for use cases such as personalization and fraud prevention. Additionally, there are sustainable ways to handle expanding real-time data volumes with the right database, including NoSQL systems that can access different storage systems at speeds useful for applications. Finally, multi-model database capabilities will go a long way in integrating vector similarity search capabilities with other data models, offering simplicity and operational benefits.