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, founder of Machine Learning Week and best selling author discusses why ML projects fail and how to ensure success, the challenges in machine learning project deployment, collaboration challenges between data and business teams, leveraging machine learning for route optimization with UPS, the importance of change management and skills transformation, and the hype and potential dangers of generative AI.

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.

Financial analyst Jason Moser and host Deidre Woollard discuss Amazon ending its deal with iRobot, the potential path forward for iRobot, and Sofi's potential as the next big bank. Eric Siegel, author of The AI Playbook, explains the challenges companies face in adopting artificial intelligence, including the value of machine learning and the need for a successful deployment process.

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.