With the rise of artificial intelligence and voice recognition technology, there has been a plenty discussion about how industries, the labour force, and business models will change, but how will these technologies change the way consumers and brands interact? The explosion of smartphones and social media opened a new world of opportunities to communicate. Mobile messaging apps like Facebook Messenger, WhatsApp, and WeChat became the norm. Chatbots followed, which allowed brands to communicate on a one-to-one, personal level. Voice recognition erupted in the same way as social media and is completely changing the way we interact.

The concept of artificial intelligence technology has been around since the 1950s when Alan Turing introduced the Turing Test to prove that a machine could carry on an intelligent conversation with a human. Obviously, there have been a number of advancements that have brought us to the self-driving cars, "smart" everything, and "bot" culture we currently find ourselves in. Obsession with AI technology seems to be at an all-time high, with many VC-backed incubator programs dedicating special resources to artificial intelligence related startups and solutions. And this trend doesn't seem to be slowing down anytime soon. And today we will share with you top AI impacts on tech industry you should know about.

Datafication is a buzzword of the last several years, that is used actively along Big Data industry. Honestly, if you would search the term'datafication' on the internet you probably won't find that much relative information about it, yet it is a word we are hearing a lot these days. However, after analyzing the topic itself, I could say that many of us understand the meaning of the term, but probably named it another way. Datafication, according to MayerSchoenberger and Cukier is the transformation of social action into online quantified data, thus allowing for real-time tracking and predictive analysis. Simply said, it is about taking previously invisible process/activity and turning it into data, that can be monitored, tracked, analysed and optimised.