1. Vertex AI is helping teams reduce search time, prepare for meetings, and deliver services more effectively.
2. GCC Scribe accelerates contract drafting and review processes using AI.
3. Challenges include data preparation, platform approach, personalization at scale, and security/privacy considerations in AI implementations.
Vertex AI is revolutionizing the way teams access information, prepare for meetings, and deliver services. With tools like GCC Assist, team members are able to find answers quickly and provide better support to customers. For example, Dan Roiter used GCC Assist to prepare for a customer meeting about a data migration project and was able to move forward successfully.
Another tool, GCC Scribe, leverages Vertex AI Vector Search to help teams draft contracts and statements of work faster. By using natural language descriptions to generate drafts based on templates and examples, Scribe streamlines the drafting process and provides automated contract review to flag potential issues.
Challenges in implementing gen AI projects include data preparation, choosing between building apps or a platform approach, personalization at scale, and addressing security and privacy considerations from the outset. These challenges were encountered during the development of Assist and Scribe and offer important lessons for future AI projects.
Recommendations for successful implementation of gen AI projects include doing live demos and seeking early feedback, talking to users for user-centric design, investing in the first step, and solving problems for yourself which can benefit others. Google Cloud Consulting aims to provide guidance on testing and implementing GenAI use cases with Vertex AI, meeting customers at every point in their cloud journey. The team looks forward to sharing more at Google Cloud Next and exploring the technical aspects of these solutions in future posts.