Dear Community Members,
I am currently in the planning phase of an exciting project aimed at exploring the potential of generative AI technologies for internal purposes within our company. Our goal is to develop a system based on our own local data to enhance our decision-making processes and make daily operations more efficient. While I am aware of the limitations of solutions like OpenAI-ChatGPT, I wonder if alternatives like OpenAI-Azure might be more suited to our needs.
To best realize our project, I seek your insights and experiences on the following key questions:
- Implementation Effort: What are the initial steps for implementing generative AI in a company, and what resources (time, personnel, financial) should we plan for it?
- Cost Overview: How do the total costs break down, including server infrastructure, software licenses, and ongoing operational costs? Are there hidden costs that can be easily overlooked?
- Expertise and Partnerships: If we lack the necessary internal expertise, what costs should we anticipate for engaging a specialized company to handle the implementation? How does this collaboration work, and what dependencies does it create?
- Data Security and Privacy: How can we ensure that our internal data remains protected and compliance requirements are met?
- Scalability and Future-proofing: How flexible is the solution in adapting to the growth and changing needs of our company?
- Success Measurement: What KPIs and metrics make sense to evaluate the success of the implemented AI technology?
I am convinced that your experiences and opinions can help us make this project a success. Thank you in advance for your valuable contributions and support!