CTOs: How to Choose a Generative AI Tech Stack for Your Data


“How do we get ChatGPT to work with our data?” 

This is the question that has been asked of almost every tech leader. As businesses seek to extract maximum value from their data assets, generative AI has emerged as a powerful tool. This guide offers practical advice for tech leaders navigating the complexities of integrating generative AI into their organizations. 

By considering factors such as data volume, regulatory landscape, privacy concerns, budgetary constraints, and internal AI capabilities, this resource offers practical guidance for selecting appropriate generative AI models. At the same time provides a framework and best practices for selecting the right tech stack based on specific organizational needs and offers real-world examples to illustrate different approaches. 

KMST CTO Whitepaper

What You'll Learn:

  • Navigate the generative AI technology complex landscape 
  • Protecting your IP and sensitive data
  • Understand and leverage embeddings
  • Deep dive into the best tools for common use cases

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Milans profile

Meet the Author:

Milan Luketic is the current Solutions Architect and former CTO with vast experience in implementing innovative technology solutions. Milan extensively utilizes and consults on emerging technology, machine learning, and generative AI.