AI skills: 5 ways to build talent internally

As artificial intelligence use cases expand inside all types of businesses and industries, you can expect another sequel to a timeless IT hiring story: The Skills Shortage, AI edition – coming soon to a team near you. As Pat Calhoun, CEO of Espressive, told us recently: "Most organizations want to embrace AI as part of their digital transformation but do not have the developers, AI experts, and linguists to develop their own or to even train the engines of pre-built solutions to deliver on the promise." As new technologies emerge and especially as their adoption begins to spike, there's commonly a gap between an organization's goals and the technical skills necessary to achieve those goals. So while AI might sound exotic and fancy, you don't actually need a newfangled playbook to bridge the gap. "Despite its evocative title, AI is remarkably similar to other fields in information technology, in that success comes through continuous learning, training, and great processes," says Zachary Jarvinen, head of technology strategy for AI and analytics at OpenText.