Can AI be used to control cloud expenses? Host Mitch Ashley is joined by DoiT's Eduardo Mota and Weaviate's Jobi George on this episode of DevOps Dialogues, for a conversation on how companies can manage their cloud expenditures in the context of GenAI tool utilization and strategize reinvestment for growth.

Their discussion covers:

• The intricate cost relationship between cloud architecture and GenAI, highlighting the importance of expert partnerships in developing effective AI solutions

• Utilizing data as a competitive advantage, from leveraging existing datasets to enhancing them through transformations or graph database conversions

• A comparative analysis of RAG (Retrievable Augmented Generation) versus Agents in reducing hallucinations and costs while optimizing efficiency

• Evaluating ROI for AI-driven projects, considering aspects like end-user payment, competitive differentiation, and operational efficiencies

• The role of managed services in the initial stages of cloud transition, and advanced strategies such as fine-tuning, distillation, or quantizing a model for growth