Synopsis: Brian Klingbeil, chief strategy officer at Ensono, discusses the evolving landscape of AI projects, emphasizing the challenge of determining their value and ROI. He highlights the cautious optimism among enterprises as they navigate the early stages of AI adoption, with a focus on practical use cases and realistic expectations.
In this episode of the Techstrong AI Video series, Mike Vizard speaks with Brian Klingbeil, chief strategy officer for Ensono, about the challenges enterprises face when identifying AI projects with real value. Klingbeil shares insights from Ensono’s client advisory board, revealing that while enthusiasm for AI, especially generative AI, is high, most organizations are still in the proof-of-concept phase. Many projects focus on practical use cases like chatbots, logistics and back-office tasks rather than developing deep learning models. While some tangible benefits have been realized, such as improved efficiency and risk mitigation, the financial impact of these projects remains unclear, and many companies have yet to see significant ROI.
Klingbeil emphasizes the importance of integrating AI thoughtfully into business processes. He notes that while AI tools can significantly enhance productivity, they are often probabilistic rather than deterministic, requiring human oversight. He advises companies to avoid overhyping AI capabilities and instead focus on identifying specific business problems that AI can address effectively. As organizations navigate the complexities of AI implementation, the key is to stay engaged, experiment with purpose, and ensure that the adoption of AI tools aligns with concrete business goals.
