Artificial intelligence (AI) is here, and it's growing -- fast. Accenture estimates that by 2035, AI could boost average profitability rates by 38 percent and lead to an economic increase of $14 Trillion. To cling on to the coattails of this enigmatic technology, brands are clambering to claim that their products contain AI. Sometimes the claim is justified, but other times, it isn't. An algorithm is a set of instructions -- a preset, rigid, coded recipe that gets executed when it encounters a trigger. AI on the other hand -- which is an extremely broad term covering a myriad of AI specializations and subsets -- is a group of algorithms that can modify its algorithms and create new algorithms in response to learned inputs and data as opposed to relying solely on the inputs it was designed to recognize as triggers.

Right now, there is no common ground with most of the AI technology consumers engage with. Instead of knowing who you are by simply the sound of your voice, most people are identified as a fresh user every time. Logging you in, authenticating you and knowing your history will be critical--and it all must be done seamlessly. Pins, passwords, security questions won't cut it,

Lately it seems that I can't open Twitter or go to any news outlet without being bombarded by headlines about Artificial Intelligence (AI) and its impact on the global business landscape. Some people see AI as a great thing, while others worry that a robot will soon take their job. The truth is somewhere in-between; while it is unlikely to entirely eliminate many occupations over the next ten years, AI and machine learning will impact almost all industries, jobs and business to varying degrees. Until recently, AI and machine learning initiatives were only on the strategic agendas of a few forward-thinking companies. Most organizations have chosen to take a "wait and see" attitude while those pioneers bore the risks of early adoption, but such a posture isn't just shortsighted; it's potentially dangerous.

Lately it seems that I can't open Twitter or go to any news outlet without being bombarded by headlines about Artificial Intelligence (AI) and its impact on the global business landscape. Some people see AI as a great thing, while others worry that a robot will soon take their job. The truth is somewhere in-between; while it is unlikely to entirely eliminate many occupations over the next ten years, AI and machine learning will impact almost all industries, jobs and business to varying degrees. Until recently, AI and machine learning initiatives were only on the strategic agendas of a few forward-thinking companies. Most organizations have chosen to take a "wait and see" attitude while those pioneers bore the risks of early adoption, but such a posture isn't just shortsighted; it's potentially dangerous.