How to Control Cloud Costs for GenAI Tools and Reinvest for Growth - DevOps Dialogues

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
Learn more at DoiT: / doitintl and Weaviate: / weaviate-io
#DoiT, #Weaviate, #cloudcosts, #GenAI, #AIsolutions, #datamanagement, #cloudarchitecture, #ROI, #managedservices, #technology
Disclaimer: DevOps Dialogues is for information and entertainment purposes only. Over the course of this webcast, we may discuss companies that are publicly traded and reference their equity share price, but please do not take anything as a recommendation for your investment decisions. We are not investment advisors.