The author emphasizes the importance of testing or prototyping the platform in the organization's environment before making a long-term commitment. The right GenAI platform should meet the organization's needs and objectives without significant cost, security, ethics, and privacy implications. The author also highlights the importance of considering future changes in the platform's features and offerings that may significantly affect the usage of the GenAI solution.
Key takeaways:
- When choosing a GenAI platform, it's crucial to define project objectives, understand existing company data and systems, evaluate model capabilities, and consider performance, scalability and future-proofing.
- Other important factors to consider include ease of integration and compatibility, UI/UX and accessibility, the reputation and credibility of the vendor, cost considerations, and ethical considerations.
- Security and privacy measures, feedback and improvement structures, and the ability to fully explore options are also key considerations when choosing a GenAI platform.
- Testing or prototyping the platform in your environment before making a long-term commitment is frequently advantageous.