Archives: Agenda
Chair’s Closing Remarks and Closing The Scene
Closing keynote: Augmenting decision-making capabilities and machine learning in a fast-paced environment
• Focusing on augmenting strategies and performance results
• Exploring techniques to modify decisions and capabilities made from GenAI and machine learning to enhance task efficiency and performance
• Current challenges and trends in explainability using machine learning and language model
Mid-Afternoon Refreshments
Silver Sponsor available
Exploring live cases of synthetic data to successfully enhance AI and large language models
• Learning how to create quality and diverse synthetic data to produce fairer and effective results
• How are you teaching your AI to output data and become more robust?
• Examples of synthetic data implementations to enhance AI and LLMs
• Scope to development and reaching strategy goals
Silver Sponsor available
Panel discussion: Evaluating real-world practices of emissions and ethics of AI
• Overviewing ethical concerns of implementing LLMs, GenAI, models, transparency, and responsibility
• To what extent is AI considered unethical?
• Exploring the significance of AI safety and tackling risks of hallucinations in ethical audits
• Who has the answer to efficiently showcase emissions, ethics and ESGs reports supported by AI?
• Discussing potential techniques to enhance ethical data analysis and reporting using AI
Panel Sponsor available