As the lines between man and machine blur and artificial intelligence, machine learning and data science become an integral part of running any business, the focus on technology can easily overshadow the crucial factor that can make or break these transformative technologies: the human factor.
"Data science and the human factor" sheds light on the limitations machines have and how we humans are the only ones capable of identifying them (and in some cases overcoming them) as long as we are aware of – and can properly manage – our own limitations. Drawing on compelling case studies and revealing anecdotes spanning his entire career, the author illustrates how the human factor can drastically alter the impact data science may have on the business.
The author provides a comprehensive, yet succinct, guide of how to approach every dimension that touches the human factor with the goal of providing the reader with the necessary tools to navigate one of the most significant – and difficult – business transformations in history. Whether you're a business or a data science leader, this book provides a thought-provoking roadmap for navigating the evolving landscape of artificial intelligence, machine learning and data science.
