Deploying Generative AI models in enterprise settings involves navigating complex challenges. This session outlines essential considerations for successful deployment, including data integration, AI infrastructure flexibility, model control, and cost management. We'll explore strategies for creating a seamless data ecosystem, the importance of a modular AI platform, balancing scalability and cost-effectiveness through hybrid approaches, and ensuring security and compliance. Gain insights into optimizing your Generative AI initiatives for impactful business outcomes.

In this session we will cover the following:

- Data Accessibility & Integration: How ensuring a rich, accessible data ecosystem is crucial for Generative AI success.
- AI Infrastructure Flexibility: How a modular platform is key to supporting innovation and scalability.
- Model Control: How maintaining sovereignty over foundation models is essential for security and compliance.
- Cost Management: Top strategies for optimizing the Total Cost of Ownership (TCO) of training or fine-tuning and deploying AI models in enterprises.
- Hybrid AI Strategies: Benefits of balancing cloud scalability with on-premise security and cost-effectiveness.

Note: This course is a recording of a session from the Marketing Artificial Intelligence Conference (MAICON), which was held in September 2024.