Want to future-proof your business? Try a customised learning programme


The past two decades have seen the workplace transformed by digital advances. Gone are many traditional structures and practices, replaced with new ways of doing business, designed to support collaboration and digitally-enabled remote and flexible working. As the technology behind AI and robotics becomes more sophisticated, the number of jobs that remain untouched by automation will decrease. "To keep pace, businesses must rethink how they organise work, reinvent jobs, redeploy staff and implement robust plans for the future," says Lynda Gratton, professor of management practice at London Business School (LBS). There are also emerging social trends and shifting demographics to consider.

Institute Announces Unique Business Courses for Artificial Intelligence – American Institute of Artificial Intelligence


American Institute of Artificial Intelligence is announcing the launch of several business courses in Artificial Intelligence. Al Naqvi, professor and researcher at the American Institute of A.I. said, "Technology firms are buying grocery stores. Tech firms are moving into the auto, financial, and healthcare sectors. They are not just offering products and services in these areas, they are becoming those sectors. Business leaders must train themselves on how to deal with these new competitive dynamics and remain relevant in the A.I. Economy."

Skills gap could hold back blockchain, AI, IoT advancements in 2017


Blockchains, AI, internet of things (IoT), and other emergent technologies are all going to be major forces in the coming year, notes IT industry analyst firm CompTIA in its IT Industry Outlook 2017 report. But these new-school technologies are hemmed in by some of the industry's oldest and most pervasive problems: Lack of qualified people to make the most of them, laggardly approaches to security, and whether or not they represent solutions still looking for a good problem. In CompTIA's eyes, the emergent technologies of the coming year include software-defined components (the enablers of "hyperconverged infrastructure"), blockchain technology, and machine learning/artificial intelligence. As with the cloud environments most of these will prosper in, they're "primarily focused on the back end, and [we] will see initial adoption at the enterprise level before moving downstream into the SMB space." The hard part will be figuring out where they're genuinely useful.