Global Big Data Conference

As digital transformation gains traction, organizations are exploring sophisticated technologies such as artificial intelligence (AI) and machine language (ML) to improve and expedite critical functions. However, rural America remains unequipped to realize its AI transformation dreams. This equates to approximately 37 million people -- roughly 15% of the nation's total population and a potential contribution of $41.3 billion to the annual GDP --that faces a lack of access to high-quality technical education, infrastructure and talent. In my last article in this series, I outlined the need to teach AI in rural and underserved America. Now, I'll lay out what kind of training we should bring to the underserved in America -- particularly in high-paying technical fields such as AI -- to introduce economic opportunities. What follows is a guide on offering various training programs for students, businesses and government officials with the goal of solving the AI talent and training dilemma that has long faced rural America.