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We’re now halfway to 2019, and this year was supposed to be the one where all kinds of companies made revolutionary strides in the area of artificial intelligence (AI). 

But so far, it seems… not much has changed. Why? 

Turns out AI is much easier talked about than executed (maybe not a surprise). There are still a fair number of open questions that need to be answered or resolved before most companies can get to a stage where they’ve truly incorporated AI into their business in a real, monumental way. 

Namely, businesses need to address the underlying fear that clouds AI; people are fundamentally afraid of it because they believe it is a black box and that it lacks transparency - but it doesn’t have to be. Yet so far, not many have achieved this balance, the mutual and optimal interaction between humans and machines. 

In this piece, we’ll explore the open questions out there among data teams (and data team members) as well as data leaders (including Chief Data Officers, CDOs, the new c-suite kids on the block). Businesses that want to get ahead will - or at least should - work on tackling these for the rest of 2018. Those that do might be surprised to know that they will be in far better shape than most of their competitors when it comes to preparing for the forthcoming AI revolution. 

We’ll also take a look at some of the emerging trends for the second half of 2018 that will likely still be hot topics going into 2019. 

Get the guidebook for a closer (and more realistic) look at enterprise AI, now and in the immediate future.

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