Machine learning solutions and workflows are meant to save time and vastly improve operational efficiency, but you still need the right human team to ensure every aspect is optimized and running on all cylinders.
Before getting started with finding the right people, you should take stock of the business problem at hand. The goal of an ML initiative may be to optimize rote business processes (e.g. automation) or it may be to establish a core piece business offering. No matter the case, it is imperative to first establish how the ML model fits within the greater workflow. Once your organization understands the implications of ML on the business, then it can begin to assemble the optimal team.
Rahul Parundekar is a Deep Learning and Artificial Intelligence Expert with 10+ years of experience in building AI products, research, and thought leadership. He is passionate about building AI solutions for improving the Human Experience. He believes that as AI becomes more commonplace, providing increasing levels of automation, we need to build intelligent systems that work together with humans and contribute to the larger human endeavor.The InformationWeek community brings together IT practitioners and industry experts with IT advice, education, and opinions. We strive to highlight technology executives and subject matter experts and use their knowledge and experiences to help our audience of IT ... View Full Bio