Zhiwei Zhu
Zhiwei Zhu
Professor at Purdue University
Track: Machine Learning & AI
Generative AI’s Enduring Significance to Analytics and Data Science
Have you noticed the recent surge in Generative AI (GAI) applications, exemplified by OpenAI’s ChatGPT and Microsoft’s Copilot? Are you curious about the relevance of GAI in analytics and its impact on the analytics profession? This presentation explores two paradigm-shifting expansions facilitated by GAI in analytics and emphasizes the indispensable applications and values of traditional analytics. These insights are valuable for analytics professionals seeking answers in the evolving landscape shaped by GAI around their positions. Moreover, GAI, as a catalyst propelling analytics into uncharted territories, necessitates a robust scientific understanding and foundational optimization. The speaker contends that data science, as a rising star in the analytics sciences, is best positioned to assume the responsibility, seamlessly bridging historical analytics foundations and future AI frontiers. This allows data science to distinctively differentiate itself from other established analytical sciences and practices.
