Discussion on AI in Business [00:01:00] Sadie introduces the main conversation topics. [00:01:20] Cal shares his anticipation for future meetups. [00:01:26] Discussion on the rapid developments in AI. [00:02:03] Key indicators companies overlook when identifying AI opportunities. [00:02:28] Cal elaborates on challenges and solutions in AI opportunity realization and measurement. [00:03:41] Approaches to mapping out the value of AI projects. [00:04:53] Sadie questions the average time to see benefits from AI implementation. [00:05:52] Cal discusses AI implementation timelines and the importance of build vs. buy decisions. [00:08:20] Discussion on successful integration of AI into workflows and overcoming adoption barriers. [00:09:23] The role of AI literacy in preventing unintended consequences. [00:13:08] Conversation shifts to responsible AI and baseline principles for ethical considerations. [00:14:16] Cal emphasizes the comprehensive nature of responsible AI beyond ethics. [00:20:33] Cal shares his journey to founding Panda Data and its acquisition. [00:24:52] Discussion on navigating the challenges in highly regulated industries. [00:27:41] Cal's personal motivations and overcoming obstacles. [00:32:09] What's next for Cal at Further and the vision for AI auditing practice. [00:36:14] Cal shares his personal goal of visiting 100 countries and its relevance to understanding AI and data science. --- Support this podcast: https://podcasters.spotify.com/pod/show/women-in-data/support