The author further outlines several areas where platform teams can help accelerate GenAI adoption, including curated templates, sample code, self-service consumption, governance, access controls, and managing costs. The article concludes by stressing the importance of platform teams in overcoming the complexities of cloud and GenAI technologies, and the need for companies to select vendors that empower platform teams to deliver self-service capabilities to developers and data scientists. Without the involvement of platform teams, many GenAI-related experiments risk failure and excessive costs.
Key takeaways:
- Generative AI (GenAI) is a crucial component in the design and development of new software capabilities, but many technology leaders struggle to implement it quickly and safely.
- Platform engineering teams can help enterprises adopt GenAI by applying control and efficiency-based techniques, much like they do in speeding up application modernization journeys.
- Platform teams can accelerate AI experimentation by providing curated templates, sample code, self-service consumption, governance, access controls, and managing costs.
- Without the involvement of platform teams in the adoption of new technologies, many GenAI-related experiments may fail and result in high costs.