The Right Stuff: The Role of MLOps in AI Success

Great teams incorporate a variety of skill sets. For example, a football team consisting of 11 quarterbacks would get crushed in a game against talented linemen, running backs and receivers. It's no different when building a team for an enterprise AI project; you can't just throw a bunch of data scientists into a room and expect them to come up with a revenue-generating or efficiency-improving project without support from other members of the enterprise. Interestingly, many companies do just that, creating a disconnect between data science teams and IT/DevOps when it comes to AI development. This gap is a significant reason why AI pilot projects fail.