big data predictions

The interest over how much data a business can create and the potential impacts it can have. 2016 saw a huge focus on how businesses can best utilise their data – but what are the big data predictions to expect?

We asked some of the biggest influencers in the industry to make their big data predictions.

Gregory Piatetsky – President of KDNuggets, @kdnuggets

Gregory - big data predictions

“Looking back on 2016, I see two landmark Data Science related events. First, the convincing victory of DeepMind AlphaGo over the world-champion Go player Lee Sedol was a landmark achievement for Deep Learning and a strong indicator of the progress we are likely to see from this technology in many areas where data is plentiful

Second, the failure of almost all polls to predict Trump victory in 2016 US election (as well as a similar failure to predict Brexit) was a reminder of the limits of Data Science and predictions when dealing with small data, human behaviour, and implicit biases.

I expect more Deep Learning successes in data-rich domains in 2017, and hope that Data Scientists have learned the lessons from the failure to predict Trump.”

Jeremy Waite – Evangelist at IBM, Writer at Jeremy Live, @jeremywaite

Jeremy - big data predictions

“Looking back on predictions made in 2014, 2015 was the year of ‘big data’. It was certainly the top buzzword at most tech conferences and business articles everywhere shocked us with the sheer rate at which big data was growing.

In 2015, 90% of the world’s data had been created in the last 2 years. By 2016, 90% of the world’s data had been created in the last 12 months. Now we are living in a world where big data is growing at a rate equivalent to a company the size of Google being created every day. It’s staggering. And it’s only going to get bigger.

Many data analysts are suggesting the digital universe will be forty times bigger by 2020! This is due to the vast increase of dark data, meaning all the unstructured data from the internet, social media, voice and information from connected devices.

As a direct result of this data explosion (and the lack of tools and skills to make sense of it), many executives feel overwhelmed and completely unprepared for the challenges their business is about to face.

So what does that mean for us as we prepare for 2017?

Rather than worrying about the size of the data that businesses are asked to make sense of, I believe that the smartest executives in 2017 will be making sense of the data that they already have, rather than trying to capture more of it.

The vast majority of organisations (88% by some accounts) don’t even share their own customer data between their own sales and marketing departments, so this is the real battleground.

So my best advice for 2017 is to ask organisations to make sense of the (dark) customer data that they already have, before spending it all on advertising trying to attract new customers.”

My favourite data quote – “It’s not enough to do your best. You must know what to do and THEN do your best”. W. Edwards Deming

Carla Gentry – Data Scientist for Talent Analytics, Writer at Analytical Solution, @data_nerd

Carla - big data predictions

A Data Nerds view on 2017, AI, Machine learning and the Internet of Things

“Here we are, at the end of another exciting year and with the New Year looming, time for 2017 thoughts and predictions. I hear so much about AI, “despite lacking experience and skills”, that it reminds me of 2012 when everyone wanted a data scientist, even though they didn’t know what to do with them!

We can’t keep living on buzzwords; AI will come about, but not in 2017, we still have a long way to go to work out all the bugs and achieve more formal education so we have the talent needed.

We can’t keep living on buzzwords; AI will come about, but not in 2017, we still have a long way to go to work out all the bugs and achieve more formal education so we have the talent needed.

Machine learning has really come along, I remember the 1st time I used machine learning in 2008 and wow, have we come a long way! 2017 will be the year we see more expertise but still, it will struggle, with understanding, proper usage and talent.

IoT, on the other hand, will surge with toys, car accessories, home and security use but it will also set up nasty hackers with lots more access to our private lives, be wary and careful and please use STRONG passwords and secure connection.

Technology is a great thing but it also has downsides as well. Go merrily into this New Year but don’t expect your own personal robot to answer the door when you come home, at least, not yet!”

What are your big data predictions for 2017? Leave a comment below. 

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