When we say Artificial Intelligence (AI), one would paint a picture of futuristic pop culture reference where robots take over the world and annihilate humanity or robots replace humans and become the new society. In reality, this technology has been present for decades and is already integrated into our day-to-day lives. We use AI every day and it's not only on your gadgets --it's everywhere. The talk about AI has been consistently part of topics as "the future" of work -- of businesses and of society in general. The exponential growth of this technology drives every industry to discuss the ways to solve the various problems we face today.

Point One: the painful truth is that content is different from data. There are lots of varieties and forms. It represents over 60% of the rising tide of information coming into our organizations, and it doesn't easily lend itself to storage in the rows and columns of a database. Point Two: capitalizing on this opportunity - turning "content" from a "risk" that needs to be "controlled" to a source of new value and insight - requires that the focus of AI shift to the business context in which these tools are used. Generic AI engines are truly impressive in what they can do, but for organizations to move to the next level, these engines need to be geared to specific business processes.

Set a goal from the top to become a truly data-driven organization, meaning one that is powered by massive amounts of data all the time, not reacting piecemeal with one-of analysis. See the video for more on how to set (and achieve) this goal. Leverage current staff (instead of hiring new people) by providing them with tools that allow them to work with data while also leveraging their business and domain knowledge. This might mean teaching analysts new skills that allow them to be involved in machine learning projects. Get the analyst of the future guidebook to help or download machine learning basics to aid staff in their journey.

Last year was a gamechanger for Artificial intelligence (AI), with tech giants such as Google, Apple and Facebook all spending exorbitant amounts on acquiring AI start-ups. The companies' goal was to bring the niche AI expertise of these start-ups in-house, signifying that these industry juggernauts recognise the importance of having top notch AI-projects. AI is set to transform every aspect of our lives, including how we work, shop and socialise and companies around the world are striving to ensure they are leading the way. While AI is set to have impacts throughout our lives, one of the most profound will be the changes to our workplaces. Recent research showed 87% of workers believe their job will be will changed by AI within the next three years.

Last October, when Google Home was announced, Google CEO Sundar Pichai christened AI as the next platform. Yesterday, AI became a Google product that could become as transformative and as large and potentially pervasive as Google Search. Google's grand bargain with its users will not change: indispensable free apps in return for users' data. Easier to use conversational interfaces such as Google Home and Google Assistant built with AI could be the next free indispensable Google app purchased with the users' information as the currency. It is a virtuous cycle.