Star Data Science Candidates Don’t Just Shine for You

Star Data Science Candidates Don’t Just Shine for You

The data science market is strongly driven by its candidates.

The availability of people within this field is not keeping up with the demand for their services, and the better candidates in the market are in huge demand when they come to look for a new role. Counter offers are standard practice and it's unusual if a good candidate doesn’t have multiple offers. Even signed employment contracts are not always respected.

The candidates are most definitely king, and their ability shines to all corners of the market. To attract their attention, employers and us recruiters have to shine right back at them. We have to make ourselves attractive to them.

IT recruiters are starting to jump on the big data bandwagon

Running a data science recruitment firm, the key from my point of view is maintaining an unprecedented level of (industry expert) service. Large IT recruiters are starting to jump on the big data bandwagon, but their knowledge is not deep enough to talk at the required level. We do our best to join the debate on social media and “play� in the same conference and event sandpits where our candidates congregate. We want to be advisors rather than market traders. When you have ...


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Is Big Data Facilitating a Designer Society?

Is Big Data Facilitating a Designer Society?

Personalisation seems to be one of the big trends of the next decade.

With virtual assistants coordinating our every move and our lives held in the palm of our hand, it is undeniable that we are fast becoming slaves to our technology. What is slightly less obvious (at the moment) is the potential for that technology to learn about how we live and create a uniquely personal experience for us, every waking minute of the day (and even maybe marshal our dreams).

We are a product of our experiences, but the moment we plug in an analytical and predictive companion to our lives, it can learn about us in was that only our subconscious could fathom. Tech will be able to provide insights into our behaviour that we could only guess at – we will be able to “optimise� our lives, and I am sure that all sorts of solutions will appear that will take the strain.

The Big Data behind these insights will help to guide us like our own personal SatNav, but instead of telling us to “turn left at the junction� it will remind us to be patient when dealing with a certain person (because of a previous experience) or ...


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Why Isn’t Big Data Called Small Data?

Why Isn’t Big Data Called Small Data?

Sometimes I think that Big Data has a branding problem.

You see, for data scientists to gain the trust and buy-in from their colleagues, they have to explain how their analysis can add value. They take a “data ocean� of information and distill it into highly-specific and actionable insights for every internal customer, refining and refreshing it along the way to ensure that it is as relevant as possible.

It is like they take the most powerful telescope imaginable and look for a speck of dust on the moon. “Here you go, this precise set of data will prove that you are right.�

The success of Big Data initiatives (to a large extent) comes in the ability to drill down from the planetary level to the sub-atomic level. It’s all about getting to those small insights that would never have appeared had you not started large and refocused, refocused and refocused. Of course, this doesn’t mean that the bigger trends are not relevant, but we have a tendency to view anything “large� with a certain amount of mistrust.

Somehow we naturally think that “big� things have a bigger margin for error, although the assumptions that we made on the way to the smaller insights could ...


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What Would the Big Data from Your Brain Tell You?

What Would the Big Data from Your Brain Tell You?

Would you really want to know?

Amongst his other amazing projects, Elon Musk wants to help hook us up to our brains.

According to a recent report in the Wall Street Journal, he is backing an operation called Neuralink, which is experimenting with putting electrodes in our brains to enhance their function. The benefits for a whole variety of conditions are obvious, but it poses a question:

Is this venture into brain technology the start of the next space race?

We have conquered many parts of our exterior world, but with lightening fast improvements in A.I. technology, will human brains now be in a race to keep up with their robot A.I. cousins? This “neural lace� technology has so many real-world applications, and it could eventually mean that an entirely different “class� of people emerge, but I would just like to ask the question whether it would be entirely healthy to have intimate access to every single thought that has ever crossed our mind?

If the technology advanced to this stage, would we want a Big Data style archive of our life?

Most of us have enough trouble remembering what we need to do from day to day, and few of us get enough sleep to ...


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Why Big Data Has To Make Sense To People

Why Big Data Has To Make Sense To People

You might have three PhDs and a brain the size of a football, but if you can’t explain things in simple language to others, it will be a struggle to maximise your potential impact on the world. Of course, there are many notable exceptions of academically brilliant individuals who have transformed the world, but people such as Einstein, Newton, Hawking, et al., often developed their theories in the confines of their labs and studies.

Data Science professionals, clever as they may be, have no choice but to work extremely closely with their non-scientifically-minded colleagues. I’d just like to say that intelligence is important in business, but it is far from the only success factor. A practical focus on getting things done and an ability to get on with other people are two things that every great leader has, and what you might call EQ is sometimes more important than IQ.

So, for the data gurus to make a difference, it is essential that they learn to translate the data into something that everyone would appreciate. This might involve dazzling visualisation and colourful graphics, and it might even involve the odd bit of humour to help the points to sink in.

If the data ...


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Why Big Data Desperately Needs Transparency

Why Big Data Desperately Needs Transparency

People have an innate suspicion of numbers.

We understand that the answer to life, the universe, and everything is too complex to be boiled down to the number 42 (according to Hitchhiker’s Guide to the Galaxy), but in the search to quantify our existence, we do allow our lives to be ruled by numbers. We count the calories in our food, we count the minutes on our daily commute, and we definitely count the number of emails in our inboxes. We use our experience to decide which numbers are good and which numbers are bad. If we didn’t manage our lives by numbers, we would be obese, late and overwhelmed.

However, there are increasing amounts of data in our lives where we are not certain of the origin. The failure of opinion polling has already been widely debated, and if such a “fine art” can get it wrong, who is to say that Big Data is any different? Isn’t polling Big Data by another name? We haven’t really got a clue how these opinion pollsters got their figures, and most corporate people are equally unsure where all their stats are conjured up from.

If Big Data is to have the impact that it ...


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Why Creativity is Crucial in Data Science

Why Creativity is Crucial in Data Science

Data science might not be seen as the most creative of pursuits.

You add a load of data into a repository, and you crunch it the other end to draw your conclusions. Data in, data out, where is the scope for creativity there? It is not like you are working with a blank canvas.

For me, the definition of creativity is when you are able to make something out of nothing. This requires an incredible amount of imagination, and seeing past the obvious headline statistics to reach a deeper conclusion is the hallmark of a great Big Data professional.

Many of the most successful people come across as innovative thinkers when they have interviews with us. They have no choice, moulding the data in unique and unexpected ways is their job. Just as Einstein found inspiration in his violin playing, many leading data scientists find that when their creative juices are flowing, they often find the most elegant solutions to the challenges that they face. These Data Creatives are some of hardest to find candidates – mainly due to the subjectivity involved. (See also a previous blog for more on Data Creatives)  

It is actually one of my favourite interview questions:

“What is the ...


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Inside Industry 4.0: What’s Driving The Fourth Industrial Revolution?

Inside Industry 4.0: What’s Driving The Fourth Industrial Revolution?

Industry 4.0 is much more than just another buzz word.

The term Industry 4.0 refers to the fourth industrial revolution and is comprised of growing trends in automation, the internet of things, big data and cloud computing technologies. Just like steam power, electricity and digital automation of the past, cyber physical systems will create the factory of the future; the smart factory.

Originating from Germany as part of a Governmental strategy for the computerization of factories, this is a revolution that will spread across industries globally. It is predicted that the adoption of Industry 4.0 will benefit production due to increased connectivity across entire businesses as manual factories are transformed into smart factories.

Cyber physical systems provide factories with increased connectivity between management level and the production floor. They’re able to monitor the manufacturing process in real time and make decentralized decisions based on data fed back through these networked machines. The autonomous networking of machines and systems along with the inclusion of big data analytics could help predict maintenance issues or system failures and react to them accordingly. Saving valuable time and money for companies. These technologies are also revolutionising the way things are designed, demand for mass production and even product lifecycles.

But what ...


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How Is Big Data Helping Humanitarian Crises

How Is Big Data Helping Humanitarian Crises

The world today is more connected than ever before. 46.1% of the world population are online, that’s 3.4 billion internet users. Each of these users typically have 5.54 social media accounts. We generate on average 303 million tweets a day and 60 billion messages a day on Facebook Messenger and WhatsApp. You’ll agree – these numbers are staggering and we’re constantly generating and adding to this torrent of big data.

We interact with the world around us through our devices and we’ve essentially used big data to make our lives more comfortable; where to eat, what movies to watch, the best routes from A to B. But what if this can be leveraged not only to recommend the best coffee shop on the block, but to show people where there is safe water to drink, or the nearest refuge centre?

Not only this. Could we use the unprecedented levels of data we’ve generated to actually predict crises and prevent violence and conflict in the worse affected areas?

The use of big data in response to humanitarian and social crisis is becoming increasingly important to tackle and understand the growing number of these issues today. Disasters – both natural and conflict driven are chaotic ...


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What Has Pokémon Go Got To Do With Big Data?

What Has Pokémon Go Got To Do With Big Data?

Last weekend I went to the park to take my baby daughter for a walk, but I knew that it would be a walk with an extra level of intrigue above the usual cooing, dribbling, and occasional uncontrollable bawling. No, on the previous day I downloaded PokémonGo onto my phone, and although I am far “too busy” to be “down with the kids” I was curious enough to see what all this augmented reality fuss was about.

I wasn’t particularly keen on Pokémon as a child, and I was wondering how it could possibly be so addictive. So (and you all know the story here by now) I started playing…. Do you know, it was a revelation, and not only from a gaming point of view. I could suddenly see the future of Big Data, and it was immersive and immediate.

Two important factors with Big Data are relevance and size. You will only gain quality insights if there is a relevant audience engaging in a relevant activity in a comparable way. The problem with much of Big Data is that it is mostly historical, and much of this “relevant” information is lost. Are we really comparing apples with apples? Was the ...


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Will Big Data Open a Pandora’s Box of Injustice?

Will Big Data Open a Pandora’s Box of Injustice?

Databases. They are not just confined to big business.

Remember that rogue traffic warden, who gave you a parking ticket thirty seconds before your time was up? Remember that customer service agent, who was rude and unhelpful to you over the phone? Remember that colleague who stole your idea and presented it as their own? Life is unfair, and there are lots of people, who take full advantage because they know that they can get away with it.

Well, maybe not for much longer. Their every move, word, and action is increasingly being tracked and recorded in one of the biggest shakeups the “service” industry has ever seen. Big Data is riding to the rescue of beleaguered customers and colleagues the world over.

Every movement of a traffic warden could be tracked on GPS, and every past decision will be immediately accessible. If certain patterns emerge that they are always at a certain place at a certain time of day, their predatory instincts will be confirmed. It will easily be possible to drill down by nature of the complaint, and justice may well be served. I’m sure that I have had a few dodgy parking tickets in my time... Imagine if traffic wardens ...


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Will AI Stifle Our Creativity or Enhance It?

Will AI Stifle Our Creativity or Enhance It?

Mankind has always risen to the challenges along our developmental path.

Many of these challenges have been created by mankind themselves. Climate change, global terrorism, and economic inequality are just a few of the issues on the current “to do” list. They are all by-products of past decisions, but at the moment, there is one particular sphere of our lives where our current decisions will have a massive effect on our future lives…

Artificial Intelligence. I wonder when we will stop calling it artificial…

We are programmed (forgive the pun) to view anything technological as a vehicle for solving logical and practical problems, but the current debate is centred around how far it could (or should) develop to facilitate the future of our planet and how its acquired creativity might impact us. When we consider the future of AI and its effect on our industries, it is often the more technical and predictable jobs which will be affected first – hotel receptionists, truck drivers, manufacturing workers. We don’t see A.I. writing the next hit record, penning a blockbuster children’s novel or creating the next film franchise.

For us, A.I. will never be able to compete with our innate creativity, our way of finding a ...


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The Rise of Robot and AI, are They Taking Over the World?

The Rise of Robot and AI, are They Taking Over the World?

Atlas from Boston Dynamics (a subsidiary of Google) is a pretty resilient chap, judging by this video. He can trudge through uneven snow, be knocked off his feet and get up again (in an eerily similar way to the film Real Steel), and perform the sorts of menial tasks that might take place in any warehouse or shop storeroom across the country.

In fact, it is hard to believe that there isn’t a human in there somewhere.

The mechanical limitations of robots have meant that they have thus far not had so many applications in the real world (outside the military), but over the next 5-10 years it seems that they will join us in mainstream life. When this functionality is combined with already sophisticated artificial intelligence systems, the step to a robot that thinks about its next move independently is not so far away.

In the video, the robot is pushed away from a box with a hockey stick. Its tame response is to recalibrate itself and try to pick up the box again. If it were thinking rationally, maybe its reaction should be to eliminate the person who is doing the pushing, and then it would be free to pick up the ...


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6 Ways How Big Data is Driving Your Car

6 Ways How Big Data is Driving Your Car

Forget the recent announcements about driverless cars, Big Data is hard at work in every aspect of the automotive industry. We are currently doing a lot of work with a number of automotive manufacturers, and I thought that it might be interesting to see where Big Data is having an impact on the cars that we are driving:

Safety

Many cars already incorporate parking sensors and crash prevention systems, but as V2V (vehicle to vehicle) communication becomes more prevalent, incidents such as motorcycles in blind spots will reduce in frequency. Big Data will be able to take information from the surrounding environment and road conditions, keeping the diver informed – who doesn’t slow down a little when they see one of those signs advertising the number of fatalities on a certain stretch of road?

Design Analysis

From a huge amount of data gathered from every vehicle, the design and manufacturing processes will be driven by the findings. The Formula One industry already crunches data in this way, and we are seeing this technology cross into everyday manufacturing. Every individual component will be able to be analysed and the driving experience will be more pleasurable than ever.

Marketing

Big Data is going to take over the world ...


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Why We All Need To Become Analysts

Why We All Need To Become Analysts

Numbers are powerful things. They somehow have this permanent quality to them, and far too many of us accept them as the truth. As the phrase goes “there are lies, damned lies and statistics.”

Numbers should always be challenged, wherever possible. They are nearly always open to interpretation.

I wrote an article a while ago about how CEOs need to push back more when they are presented with a slew of data about their business. In actual fact, in order for this data to be as accurate as possible, every member of an organization should be playing their part in the analysis, long before the CEO thinks “hey, this doesn’t sound right.”

Being analytical is a habit that anyone can pick up. It comes more naturally to some than others, but essentially it is all about asking the right questions. If you are given a number and you want to know where it came from, ask some questions….

How did you come about this client satisfaction figure? Who was surveyed? Who provided the answers from within their organizations? What period did the survey cover? How does it compare with other clients? Etc.

The reason that kids grow up so quickly is that they are permanently ...


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Can Big Data Catch The Bad Guys?

Can Big Data Catch The Bad Guys?

The following is a flight of fantasy, but in the wake of recent events, I believe that we would be foolish not to develop every possible technology to safeguard the lives of our children and their children.

There are many very reasonable arguments about the potential invasiveness of Big Data and the implications that it may have for our privacy. It is already a simple fact that we have no idea who is in possession of what data about us – the Edward Snowden revelations alleged government snooping on an industrial scale, but is this the price of our future security? A price that is worth paying?

After a few more tragic events like the ones in Paris, I think that the debate might finally come into the mainstream. Are our civil liberties worth surrendering (to a certain extent) in order to ensure that potential terrorists are foiled?

I will leave that question to one side as it will create a huge discussion (and rightly so). I would, however, like to consider a world in which Big Data can combat terrorism…. It is not as far-fetched as it sounds.

I am not an expert on extremism, but the path is generally a well-trodden one. ...


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Cutting Through the Buzz of Big Data; 5 Big Data Myths Debunked

Cutting Through the Buzz of Big Data; 5 Big Data Myths Debunked

While socialising with my partner (something that will abruptly stop for a while after the imminent birth of my second child), when I tell people that I recruit for Big Data & Data Science professionals, their reactions vary from a vacant, glazed look in their eyes to a knowing nod (that actually masks a total lack of understanding). It is fair to say that most people don’t really get what Big Data & Data Science is about.

The industry is developing at a rapid pace, with the technology improving month-on-month instead of year-on-year. There is such a buzz about Big Data that the narrative has almost taken on a life of its own – it has become this mythical being that can slay uncertainty and save any business from an untimely end.

That is, unfortunately, not the case, so I thought that it was about time to take a light look at five of the more prevalent myths:

Big Data Predicts the Future

Big Data can indeed provide you with a load of numbers to interpret about the future. However, these numbers will be based on the past and their interpretation will very much depend on the questions that were originally asked and the selection of ...


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Where Should I Work In Big Data?

Where Should I Work In Big Data?

As a recruiter, I get asked this question a lot, and it is a question that is on the lips of people across many industries at the moment.

Should I work in a Big Data start-up or a more established Big Data vendor?

I usually end up answering their question with a string of questions of my own to help them narrow down their priorities, and I thought that it might be useful to explore some of the considerations. They are actually valid for most industry sectors:

Product. In a start-up, the product has to be compelling enough to make it the whole 12 rounds. Is it sexy? Is it cool? Will it change the world? If you are not salivating at the potential, then you can be sure that customers will be lukewarm. In an established vendor, the product will be proven and tested, but it will also be unlikely to change significantly. If you want to go on a rollercoaster of creativity, a start-up is for you. If you are more interested in expanding an existing market, you should stick with the big boys.

Leadership. Start-ups offer opportunities for personal growth, but you have to ensure that the leadership team are able to sell ...


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Big Data vs. Bad Data; a $ 3 Trillion Opportunity

Big Data vs. Bad Data; a $ 3 Trillion Opportunity

This is the elephant in the Big Data room….

How much “Bad Data” is out there?

Wait a minute, I hear you say, do you mean to say that not all of this data is accurate? What is the point of salivating over terabytes of Big Data if we don’t understand which bits are inaccurate, duplicated, incorrect or incomplete?

That is the right question to be asking.

The consequences of cyber attacks are well documented, but actually, in a world that is increasingly reliant on our data, the costs of Bad Data could be even higher. The U.S. economy is estimated to lose $3 trillion per year due to Bad Data. I don’t need to mention that this is a lot of money….

As Big Data grows ever more ambitious in its scale and ambition, might we be forgetting that it is worthless unless it has a reasonable degree of accuracy. You may be able to draw conclusions, but are they the right conclusions? In some many crucial industries, from healthcare to banking, big data mistakes can cause havoc. They could even cause people to lose lives.

Research from Experian Data Quality shows that inaccurate data has a direct impact on the bottom line of 88% ...


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Why Big Data Can’t Beat the Human Spirit

Why Big Data Can’t Beat the Human Spirit

The England one-day cricket team offers a fascinating example of where Big Data sometimes does not offer all the answers.

There has rarely been a turn-around in world sport such as recently with the England cricketers.

Their previous coach Peter Moores was famously obsessed by data. He was always accompanied by a laptop to analyse the performances of his players, but after their most ignominious defeat by Bangladesh at the recent World Cup, even he was lost for an explanation. 

When an experienced coach (and he was a good one) starts to believe in the power of numbers rather than what is going on in front of his own eyes, you know that you have a problem. Introduce vicious criticism such as “Moores couldn’t run a bath” and his days were numbered (please excuse the pun). 

Then, something amazing happened.

His assistant, Paul Farbrace took temporary charge of the one-day cricket team, and he just let the players play cricket. There were a few changes in personnel, faith was put in youth, but when the team walked out to play a series against New Zealand (who comprehensively thrashed them a few months earlier), no one expected what was to come next. 

The players walked out and ...


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Why Big Data Can’t Beat the Human Spirit

Why Big Data Can’t Beat the Human Spirit

The England one-day cricket team offers a fascinating example of where Big Data sometimes does not offer all the answers.

There has rarely been a turn-around in world sport such as recently with the England cricketers.

Their previous coach Peter Moores was famously obsessed by data. He was always accompanied by a laptop to analyse the performances of his players, but after their most ignominious defeat by Bangladesh at the recent World Cup, even he was lost for an explanation. 

When an experienced coach (and he was a good one) starts to believe in the power of numbers rather than what is going on in front of his own eyes, you know that you have a problem. Introduce vicious criticism such as “Moores couldn’t run a bath” and his days were numbered (please excuse the pun). 

Then, something amazing happened.

His assistant, Paul Farbrace took temporary charge of the one-day cricket team, and he just let the players play cricket. There were a few changes in personnel, faith was put in youth, but when the team walked out to play a series against New Zealand (who comprehensively thrashed them a few months earlier), no one expected what was to come next. 

The players walked out and ...


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So…What Is Deep Learning?

So…What Is Deep Learning?

Imagine a baby coming into the world. From the moment she opens her eyes, there is a world of learning to absorb. Every action will create an imprint on her brain, and she will not stop learning until the moment she leaves the world. She develops because of her environment, because of the things she studied, the books she read, the work she carried out, the people she talked with, etc.

Now, imagine an artificial neural network – that learns and draws its own conclusions. Similar in some ways to a human brain, but far easier to program, and with a limitless potential for growth. It analyses arrays of data – looking at inputs and outputs. If a cat is thrown into some water, it won’t be too happy. A deep learning array could work that one out without breaking a sweat.

Recently, deep learning has taken huge strides forward. The neural networks are now teachable. If a lion were thrown into some water, how would it feel? It is a banal example, but this science has now reached the stage that machines can start to “think” for themselves and make predictions far more complicated than the example above.

Deep learning "really doesn't ...


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The Internet of Things, Big Data and Preventative Predictions

The Internet of Things, Big Data and Preventative Predictions

The leading car manufacturers are currently investing huge amounts of money integrating Big Data knowhow into their manufacturing processes. In the future, it will also undoubtedly have a direct impact on the driving experience – and before long your car will drive itself.

If your in-car computer tells you that your engine is 70% likely to fail, most people would want to do something about it. If it tells you that your braking distance is 85% likely to cause a rear-end collision, you might drive with a little more caution…. Data has the power to change behaviours – more than education or prohibition ever could.

This emerging trend in Big Data will be driven by the businesses who will stand to profit from it (they will sell more cars, parts, etc), but it will soon move across to other areas of our lives, and it may not be universally welcome.

If, after a detailed examination of your marriage, you were told that you had a 95% chance of getting a divorce over the next five years, would you feel any less determination to work at it? When emotions are turned into cold and hard facts, they are much harder to ignore. “We’ll get ...


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The Rise Of The Chief Data Officer

The Rise Of The Chief Data Officer

Sometimes change has to be accompanied by numbers. That is the foundation on which the Big Data revolution is built. Without their reassuring presence, there would be little progress.

Cold hard numbers are what make the world of business go round. Big Data is increasingly providing more and more intricate insights, but there has to be a Chief “Translator” of these numbers on the board of companies. They might not react kindly to a 24-year-old data scientist genius telling them how to run their business. The “Chief Data Officer” needs to have one foot in the business space and one foot in the tech space.

In keeping with the data-led decision making processes that many businesses are introducing, I thought that I would share a few statistics (from a report by Experian) to show CEOs why they should be considering hiring a CDO if they have not got one already:

77% of CIOs say that data is not being used to it’s full potential
- 51% blame limited budgets
- 47% point to increasing data volumes
- 47% cite a lack of understanding of analytics
92% of CIOs would like to see a CDO role created
76% of CIOs want the CDO as a board level position by ...


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Big Data And Wearable Tech In The Workplace

Big Data And Wearable Tech In The Workplace

Big Data offers huge opportunities to improve both our professional and personal lives. It allows us to draw conclusions that we would not previously have been able to quantify and gives certainty to decision-making where there was previously doubt.

There is, however, one big restriction to the Big Data industry, and it is a fairly rudimentary one: you have to collect the data to work with in the first place. In industries like Healthcare, this is more than possible, and there will be massive steps forward once the existing patient data can be properly analysed. In the working environment, however, this is not always possible. How do you assess someone’s productivity if you cannot record what they are doing?

I write this while watching rugby on TV, and the answer is staring me in the face. The players wear electronic trackers on their backs, which measure their every move. After the games, the data is downloaded and analysed. You can see who has run the most, their positioning and why certain moments in the game happened the way they did. You could say that this is television’s version of Wearable Tech, and it is facilitating innovation in all aspects of the game.

So, ...


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Big Data Could Revolutionize Healthcare. Will We Let it?

Big Data Could Revolutionize Healthcare. Will We Let it?

We’re a pretty suspicious lot here in the UK.

Britain has the potential to be the world leader in Healthcare Big Data. We have (more or less) centralized NHS records dating back to the 1940s, and we have normalized personal data for each patient, which is far less fragmented than for the US, for example. We also have an innovative bioscience sector to work hand in hand with the findings.

The benefits of Big Data in Healthcare are considerable. The power to access and analyze enormous data sets can improve our ability to anticipate and treat illnesses. This data can help recognize individuals who are at risk for serious health problems. The ability to use big data to identify waste in the healthcare system can also lower the cost of healthcare across the board.

It all makes perfect sense, but, therefore, why did the government have to abort their first step in this direction just last year? It was about to create Care.data, a centralized collection of patient records that would truly transform UK healthcare. The reason that they cancelled it? Privacy concerns….

The timing of the announcement was unfortunate. It coincided with the Edward Snowden revelations, and the consensus was that Healthcare Big ...


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8 Trends In Big Data For 2015

8 Trends In Big Data For 2015

As a Big Data recruiter, the speed of change in the industry never ceases to amaze me. I can’t fail to get up in the morning and wonder what the next year (or day) might bring in this ever changing industry, and although I have made eight suggestions for 2015 trends, there seems to be one general theme: Big Data is going to become more accessible….

Non-Data Scientists

Big Data talent with a Ph.D. or even a computer science degree is scarce and given the rapid growth of the industry, professionals from other backgrounds will be joining the teams. Increasingly automated platforms will simplify the collection and analysis of data, and the reliance on coding will be reduced, so the industry will be open to a wider skillset. A “Data Scientist” with a BA degree? Not out of the question.

Real Time Big Data

In-memory analytics capabilities will provide immediate information to the business community. This will gradually replace batch reporting and for a fast moving business such as online retail, this analysis will enable swifter decision-making. In this example, demand planning and supply chain efficiencies will see huge improvements. Most businesses will benefit from this real time reporting.

Self Service Big Data

As the analytics ...


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Could Artificial Intelligence Take Over?

Could Artificial Intelligence Take Over?

Friends of mine sometimes accuse me of facilitating the rise of the machines, Terminator style, in my calling to assist the best Big Data talent in their career moves. Arnold Schwarzenegger would be coming back from the future to destroy me. It all started with you Matt.

I then go on to disappoint them by telling them that Big Data still has a significant amount of human input. Although the super computers spit out the numbers, there is no way that they could produce the analysis required for today’s business environment. Not yet, anyway.

However, the warnings about artificial intelligence have recently been sounding ever louder, and with prominent physicists such as Stephen Hawking sounding them, it would be foolish not to give them some thought. Hawking recently told the BBC “the development of full artificial intelligence could spell the end of the human race.” Earlier this autumn, the entrepreneur Elon Musk called AI “our biggest existential threat” and compared the research under way to “summoning the demon.”

Hawking goes on to summarize: artificial intelligence “would take off on its own, and redesign itself at an ever-increasing rate . . . Humans, who are limited by slow biological evolution, couldn’t compete and would be superseded.”

I am sure ...


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