The Role of AI in Modern Marketing
summary
Panel claims teams build AI agents pipelines that prepare data, analyze it and spin up CRO tests, reporting a typical two or three hours saved per task versus manual work and an internal prompt DB of about 200 tasks. Tools shown include ChatGPT, Google Drive, Placid and BigQuery/Azure/Oracle connectors; one company details a company‑level mastermind agent with subagents that keeps sensitive data on‑prem. EU AI Act transparency for images/videos is cited starting July 1; successes hit ~80% reliability and ROI often shows as knowledge and speed rather than immediate revenue.
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chapters (18)
- 0:00Welcome
- 2:56AI agents and generative AI
- 5:04Data-driven marketing strategies
- 7:31AI in paid advertising
- 10:48Authenticity in AI content
- 12:14Trusting AI decisions
- 15:03AI demo: LinkedIn content
- 17:36AI in finance marketing
- 25:40AI implementation pitfalls
- 30:25AI success and failure stories
- 32:29Affordability of AI tools
- 33:35AI: creativity killer or booster?
- 36:48Transparency in AI content
- 39:41EU AI act and marketing jobs
- 41:48Preventing AI biases
- 43:56Future of AI adoption
- 44:16AI for small businesses
- 44:41Closing and Q&A
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