AI and data science experts Dr. Anthony Scriffignano and Dr. Satyam Priyadarshy join Michael Krigsman for a candid discussion on the practical realities of AI implementation. They debunk the myth of AI as a magic bullet and explore what truly drives success in AI projects and the common pitfalls that lead to failure.

Learn how to address critical challenges like confirmation bias, data quality issues, communication gaps between data scientists and business leaders, and the ethical considerations of synthetic data. Discover practical strategies for building a data-driven culture, managing computational costs, and maximizing the value of your data science initiatives. This episode is a must-watch for business and technology leaders seeking to leverage AI effectively.

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