Unlocking the True Cost of Generative AI
Unlocking the True Cost of Generative AI As organizations increasingly integrate generative AI into their operations, understanding the associated costs is crucial for effective budgeting and resource allocation. Here's a comprehensive breakdown of the various cost types involved in building and maintaining AI systems: GenAI Tools & Platform Access Costs Prompt Engineering Costs Inference Costs Fine-Tuning Costs Infrastructure Costs Data Management Costs Operational Costs AI Regulations Compliance Costs Talent Costs Change Management Costs By strategically managing these cost types, you can maximize the investment in generative AI and drive innovation forward. What are your thoughts on these cost factors? How are you addressing them?