This episode dives into the strengths and weaknesses of machine learning (ML) and artificial intelligence (AI). Podcast host Jordan Rogers-Smith is joined by Miku Jha, Director of Applied Research and Development and Business Messaging at Meta and the Founder of AgShift, and Peter Wang, the Founder of Anaconda.   The guests start the discussion by giving working definitions of AI and ML and what both can offer organizations at their best but also what their natural limits are. Miku underlines the importance of augmenting these technologies with human experts and Peter warns against the seductive idea that AI and ML are magic pixie dust that can solve any business problem.   Miku and Peter also talk about the change management that has to accompany any successful deployment of AI and ML: team members have to adjust processes to account for success and stakeholders have to be educated on failures to ensure that the downsides of these new technologies don’t outweigh their positives.   After you listen, connect with podcast host Jordan Rogers-Smith and guests Miku Jha and Peter Wang on LinkedIn. Visit Anaconda.com to learn about why it’s the world’s most popular data science platform.   Keep up with the latest from Meta’s Business Engineering Team by following us on Medium.