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The AI in Business Podcast is for non-technical business leaders who need to find AI opportunities, align AI capabilities with strategy, and deliver ROI. Each week, Emerj Artificial Intelligence Research CEO Daniel Faggella interviews top AI executives from Fortune 500 firms and unicorn startups - to uncover trends, use-cases, and best practices for practical AI adoption. Subscribe to Emerj's weekly AI newsletter by downloading our "Beginning with AI" PDF guide here: https://emerj.com/aik

Nov 7, 2025

Today’s guest is Sachit Kamat, Chief Product Officer at Eightfold AI. Eightfold AI provides a complete AI platform for talent management to help companies find, recruit, and retain workers with the goal of increasing the efficiency and effectiveness of talent operations. Sachit joins Emerj Editorial Director Matthew...


Nov 6, 2025

Today’s guest is Greg Ratcliff, Chief Innovation Officer at Vertiv. With 30 years of experience leading technology teams and global innovation initiatives, Gregory offers deep expertise in data, IoT, and digital infrastructure. Ratcliff joins Emerj Editorial Director Matthew DeMello to discuss how enterprise leaders...


Nov 5, 2025

Today’s guest is Jim Johnson, President at AnswerRocket. Founded in 2013, AnswerRocket builds enterprise AI agents delivering measurable outcomes for Fortune 2000 clients across consumer goods, financial services, construction, real estate, and beyond. Johnson joins Emerj Editorial Director Matthew DeMello to discuss...


Nov 5, 2025

Today’s guests are Matt Berseth, Co-founder and CIO at NLP Logix, and Russell Dixon, Strategic Advisor at NLP Logix. NLP Logix is a fast-growing AI services firm based in Florida that serves both the public and private sectors. Berseth and Dixon join Emerj Editorial Director Matthew DeMello to discuss how enterprise...


Nov 4, 2025

Today’s guest is Emily Nguyen, Head of Industrials and Warp Speed at Palantir Technologies. Emily joins Emerj Editorial Director Matthew DeMello on the show to discuss the realities of AI adoption on the factory floor. Despite rapid advances in AI, many manufacturers still rely on legacy systems, siloed data, and even...