Artificial Intelligence and Machine Learning have had growing roles in and around DAM for some time. But the explosion of Generative AI over the past year has opened whole new avenues of opportunity and need in: DAM as a discipline, DAM tools, and our roles as DAM leaders.
An exploration of the latest thinking on how to approach bringing Gen-AI-created assets into collections and how to integrate technologies, processes, and mindsets in the wider DAM operation.
Covering:
- Gen AI assets in your DAM.
- Integrating Gen AI tools with DAM.
- How to evaluate the benefits of building Gen AI tools, while considering data security and the possible implications of bias.
- Going beyond a base Foundation Model and customizing your own model with your datasets.
- Protecting your data and not allowing it to train other models.
- Infrastructure and cost challenges for inference and training.
- LLM as the future of DAM.
- Rights and clearances.
