Eric Siegel, leading consultant and former Columbia University professor, discusses his book 'The AI Playbook' on mastering machine learning deployment. He highlights the challenges in deploying machine learning projects and the importance of a specialized business practice. Siegel shares success and failure stories, emphasizing collaboration between business and data professionals for project success.

Eric Siegel, machine learning expert, discusses bridging technical expertise with business needs. He highlights challenges in deploying ML projects, emphasizing collaboration for success. The conversation explores cost analysis, managing buy-in, and utilizing ML for business improvement. Strategies for executives' upskilling are also covered.

Dr. Eric Siegel, author of the bestselling book on machine learning and AI deployment, discusses the challenges and misconceptions surrounding machine learning projects. He emphasizes the importance of business professionals understanding machine learning, explores the differences between AI and human intelligence, and delves into ethical considerations. Using UPS as an example, he highlights the success of predictive algorithms in improving operational efficiency.

Eric Siegel, a leading consultant and former Columbia University professor, delves into the challenges of deploying machine learning projects. He highlights the troubling statistic that 87% don't make it to production and discusses the critical need for collaboration between technical and business teams. By introducing the BizML framework, he outlines a structured approach for success. Additionally, Siegel warns against the pitfalls of the generative AI hype, urging a balanced perspective on its capabilities while stressing ongoing evaluation to ensure real business impact.

Dr. Eric Siegel, leading consultant and former Columbia University professor, shares a 6-step process for successful machine learning projects. Topics covered include the distinction between generative AI and predictive machine learning, the lesser known aspect of FICO's business, and controversial predictions and the future of AI.

In this discussion, Jason Moser, a Motley Fool analyst known for his insights on investments, joins Eric Siegel, author of The AI Playbook, to dive into the fallout from Amazon's decision to drop its deal with iRobot. They explore the future of iRobot amidst regulatory scrutiny and market challenges. Moser also highlights SoFi's impressive growth strategies targeting younger customers. Siegel sheds light on the complexities of adopting AI in business, stressing the importance of a data-driven approach and practical applications like logistics and fraud detection.

Eric Siegel, an expert in AI and machine learning, shares invaluable insights from his extensive experience as a consultant and former professor. He discusses the essential differences between AI and machine learning, emphasizing practical strategies for integrating these technologies into business. Key topics include operationalizing predictive analytics for real-world success, the importance of aligning predictive models with business value, and the challenges of deploying AI effectively. He even humorously touches on how creativity intertwines with analytics, showcasing the lighter side of data.

AI expert Eric Siegel discusses leveraging machine learning in business, focusing on types of AI and quality data inputs. He highlights the importance of precise project scopes, differences between generative and predictive AI, and the potential impact on companies' bottom lines.

Eric Siegel, former Columbia professor and leading ML consultant, discusses whether we're heading towards an AI winter and the implications for future innovation in AI and ML. Topics include the law of human-like autonomy, challenges in deploying ML projects, and the impact of an AI winter on AI and ML development. Guest emphasizes the need for clear goals and understanding before starting projects.

Renowned expert Eric Siegel discusses bridging the gap between data science and business. Key topics include aligning with business objectives, measuring deployment success, and the importance of human involvement in AI. Siegel's insights offer a roadmap for organizations seeking to leverage the power of AI in driving their business forward.