#CollaborativeML #DataScience #AutoML Explore the future of collaborative ML workflows in this engaging episode with Dr. Greg Michaelson, Co-Founder of Zerve. Dr. Michaelson joins @JonKrohnLearns to introduce the groundbreaking Zerve IDE and Pypelines project, addressing the critical gap in AutoML for commercial use and pinpointing why many AI projects don't meet their objectives. Gain insights into steering AI initiatives towards success and enhancing project communication, all in this insightful session. This episode is brought to you by Oracle NetSuite business software (https://netsuite.com/superdata), and by Prophets of AI (https://prophetsofai.com), the leading agency for AI experts. Interested in sponsoring a SuperDataScience Podcast episode? Visit https://passionfroot.me/superdatascience for sponsorship information. In this episode you will learn: • [00:00:00] Introduction • [00:03:19] Why Zerve IDE is so sorely needed • [00:29:30] Pypelines: AutoML open-source in python • [00:46:20] Why most commercial A.I. projects fail and how to ensure they succeed • [00:51:49] How AutoML will impact the role of the data scientist • [01:02:08] Greg's background as a pastor and working at DataRobot • [01:14:52] How to develop impressive communication and storytelling skills Additional materials: https://www.superdatascience.com/753