Part 10/11:
Perhaps most critically, organizations must invest in building skills. Cultivating data literacy and technical expertise allows teams to interpret analyses correctly and advocate for data-driven strategies. Continuous upskilling is vital in the rapidly evolving AI landscape.
Practicing Thoughtful Data Management
The speaker warned against "junk food" data—low-quality, unverified inputs—that can sabotage AI initiatives. Emphasizing high-quality, organic data ensures AI models—such as large language models (LLMs)—produce reliable and valuable outputs.