From Manual to Machine: Real Lessons from LLM-Driven Media | Martin Schulze, UNICEPTA
Автор: amecorg
Загружено: 2026-01-20
Просмотров: 3
Описание:
Implementing LLM-driven media analytics isn’t just plug-and-play—it’s a journey of discipline and adaptation.
In this session, Martin Schulze (UNICEPTA) shares real-world lessons from transitioning from manual processes to machine-driven insights using Large Language Models (LLMs).
Key Takeaways:
✔ Strengths & Limitations of GenAI Analytics – What LLMs can and cannot do.
✔ Beyond Off-the-Shelf Solutions – Why reliable outcomes require more than just feeding data into ChatGPT, Gemini, or Claude.
✔ Prompt Management Essentials – Key parameters and why disciplined prompt engineering matters.
✔ Preparing for Change Management – Why ongoing adaptation is critical for success.
Missed AMEC AI Day in London? Join us at AMEC AI Day North America, taking place in New York on 11 March 2026. Attend in person for high-level discussion and networking, or join live via our platform partner Ventla, with 60 days of on-demand access included.
🎟 Register now at the early bird rate: https://bit.ly/AMECAIdayNYC26
#llms #generativeai #aiinpr #aiimplementation #promptengineering #aianalytics #digitaltransformation #changemanagement #responsibleai #aiadoption #prmeasurement #machinelearning #aievents
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