AI in Martech: What’s Working, What’s Breaking, and What Comes Next

This panel discussion with martech experts covers the following topics: ‣ What are some AI failures you have experienced in marketing or martech, and what did you learn from them? ‣ Do most organizations have enough data readiness to take full advantage of AI? ‣ How can companies tell whether their data is ready for AI? ‣ How should companies talk with customers about token consumption and unpredictable AI costs? ‣ How should organizations budget for AI when token usage and pricing are still uncertain? ‣ What advice would you give to graduating designers and marketers who are entering the workforce now? ‣ Will semantic layers and natural-language querying finally force business and technical teams to work together? ‣ Will semantic layers help companies achieve data readiness faster, or will they create another major challenge to overcome? ‣ How should organizations onboard, evaluate, manage, and potentially remove AI agents? ‣ What cultural shift is required for marketers who will oversee teams of AI agents? ‣ How should organizations think about AI regulation, accountability, governance, and guardrails? ‣ Are companies designing websites with LLMs as an audience? ‣ How should healthcare marketers introduce AI-driven experiences for older patient audiences who may not understand or trust AI? ‣ What is the main thing people are taking away from the discussion? ‣ How can companies make sure AI helps employees do more meaningful work instead of simply replacing them? ‣ How should marketers and developers think about the human side of AI adoption? ‣ How important is prompt quality when working with AI tools? ‣ What is everyone’s go-to LLM right now? --- Follow us on social: /   / sitefinity   /   / sitefinity   /   / progress-sitefinity   #MarTech #aimarketing #marketingdigital