How to Staff Your AI Team

Description

Summary

• Through 2023, Gartner estimates that 50% of IT leaders will struggle to move their AI projects past proof of concept (POC) to a production level of maturity.
• On their AI team, CIOs and technology innovation leaders need to have data scientists, data engineers and complement the team with AI architects and machine learning (ML) engineers.
• That team should never operate in isolation and should collaborate with business domain experts, IT experts, and other relevant staff and stakeholders to deliver successful AI initiatives.
• Their primary responsibility is to orchestrate the deployment and management of models in production and provide inputs on the applicability of ML and deep learning models within AI’s various disciplines, such as natural language processing or image recognition.