Enterprise leaders are no longer asking if they should adopt AI — the question is how to do it effectively. In this episode, Emerj Editorial Director Matthew DeMello speaks with James Raybould, SVP and GM of Turing Intelligence at Turing, about what distinguishes successful enterprise AI deployments from stalled pilots. Turing is one of the world’s fastest-growing Artificial Intelligence companies, working with the world’s leading AI labs to advance frontier model capabilities and leveraging that work to build real-world AI systems that help businesses solve their toughest problems —delivering real business results, faster, smarter, and at scale. James outlines three critical factors that determine whether an AI initiative gets traction: business alignment, workforce readiness, and infrastructure. He explains why companies that start with the technology — instead of the problem — are likely to fall behind, and what it really means to prepare a workforce for AI when automation changes the expectations of work quality and speed. This episode is sponsored by Turing. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more information and to be a potential future guest on the ‘AI in Business’ podcast! This episode is sponsored by Turing. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1.
