Deploying A.I. Effectively in Creative Teams

Topics Covered In This Episode:

1. Decision to Adopt AI 

• How did industry trends and expectations influence your decision to adopt AI?
• At NAB, you mentioned the transition to AI—what did you have to lose by trying it?

2. Setting Up the AI Workflow

• Can you walk us through your AI workflow?
• What infrastructure investments were required to support AI tools?
• Were there hidden costs or overlooked technical challenges?
• How do you approach metadata tagging versus indexing?

3. Challenges in Deployment

• What were the biggest challenges in setting up and operating the AI system?

4. Security & Data Protection

• What security and data protection concerns arose during deployment?
• How did you address these challenges?

5. Ethical Considerations

• How did ethical concerns factor into your AI deployment? 
• Were there unexpected ethical challenges along the way?
• What policies or guidelines did you implement to ensure responsible AI use?

6. Legal Hurdles

• What legal challenges have you encountered with production customers, and how did you overcome them?
• You previously mentioned an example of voice replication—can you share that with the audience?

7. Cloud vs. Air-Gapped Solutions

• How did you evaluate whether a cloud-based or air-gapped solution was best for your workflow? 
• What should others consider when making this choice?
  • Security concerns
  • Cost concerns

8. Lessons Learned

• Looking back, what do you wish you had known before starting this AI transition?
• What advice would you give to others preparing for AI deployment?

9. The Future of AI in Post-Production

• Where do you see AI in post-production heading next?
• What should creative teams be preparing for in the near future?