This program comprehensively explores the emerging field of Generative AI and its profound impact on data analytics. Through theoretical concepts and hands-on experiences, participants will understand how AI-powered tools and techniques transform how data is collected, analyzed, and utilized to drive business insights and decision-making.
This workshop will equip participants with the knowledge and practical skills to navigate the exciting and rapidly evolving landscape of Generative AI and data analytics. It will empower them to drive innovation and data-driven decision-making in their respective studies, future careers, and future work organizations.
Learning Outcomes:
- Understand practical skills in using AI tools for analytics
- Learn industry-specific insights on AI applications across key business functions
- Identify awareness of ethical risks and future trends in AI-powered analytics
- Develop actionable strategies to implement AI-driven data solutions
Outline:
- Introduction to Generative AI and Data Analytics
- Hands-on Experience of Large Language Models
- Hands-on Experience of Power BI and AI models
- Real-world examples and Data Insights
- Impact of Generative AI on Data Analytics
Target Audience:
This workshop is designed for business professionals, tech teams, entrepreneurs and executives seeking hands-on skills in Generative AI for data analytics.
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DISCLAIMER
Speakers' presentations at this event are intended for educational purposes only and do not replace independent professional judgment. Statements of fact and opinions expressed during this event are those of the speakers and participants and, unless expressly stated to the contrary, are not the opinion or position of the Hong Kong General Chamber of Commerce, its members, or its committees. The Chamber does not endorse or approve, and assumes no responsibility for, the content, accuracy or completeness of the information presented. Attendees should note that, with the approval of speakers, this event may be recorded, and possibly published on the Chamber's website in audio and/or video formats without further notice.
Recording, duplication or distribution of the contents of the online event is prohibited without prior written permission from the Chamber.
