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How do you create a modern data ecosystem?
I got interested in data about 15 years ago, back when I was working with Channel 4 TV. I am now in the field of Big Data and Machine Learning, but my in-road to this sector was through Data Warehousing. I was working on analysing large sets of data to do with Interactive TV, Clickstream, Ad Servers, and Video on Demand. As soon as I started working on it, I was hooked. It really was – and still is – fascinating to me.
I think Cambridge Analytica and GDPR combined to create a perfect storm. They have effectively changed the landscape and brought attention to the professionalism and level of care that we need to take with personal data. They’ve highlighted the need to make proper, thorough, professional ways of working with personal data the highest priority.
The repercussions of these two changes will continue for years to come. The impact of GDPR has been felt far and wide, and individuals whose data is collected by businesses will quite reasonably ask, if they don’t already: what’s in it for me? Being able to explain the value exchange with customers, relating to the data stored about them, is essential.
They are entirely practical trends now but both (in their current state) require specialist expertise from data engineers and data scientists, which can be quite hard to find. The technology is still hard to orchestrate in a production environment, and although I do believe that this will be made a lot easier in the coming years, right now the emphasis is still on people. Both trends need the right brains to work properly: businesses need to employ those who are able to deal with what is essentially immature technology, one that needs steady housekeeping and care to make it work.
That said, the signs are very promising. Public Cloud Vendors, for example, have machine learning services that can simplify the process a great deal – I can see Machine Learning as a Service becoming a great trend. As to whether people are using those services in a large-scale production sphere... it’s hard to say. There is still a lot of hard technical work to be done to make these things as effective as they could be.
Alexa voice assistants are all around my house and I absolutely love these little cylinders. My wife and I have two young daughters who are nine and ten years old, and what I find fascinating is that they will only know a world where you can shout out, “Alexa, who was the first prime minister after WW2?” or “Alexa, what is the answer to this equation?” in order to solve many of life’s great big questions. This journey for me as a young boy involved hopping on a bus to Luton Central Library and spending hours searching for the answer within the many reference and telephone books that lined the shelves. That information is now not only attainable through a screen, but via voice control too, and even though I work in technology it never fails to amaze me. It really does feel as though we are living in the future or within a science fiction novel. Star Wars depicted computers that would talk: now we have them living in our house, and I really didn’t see this coming.
Our voice app built for the Google Assistant, helps our customers with their travel needs. After all, the best way to explain what you need is by voice. The transport industry is inherently complex, and one of our main missions as a company is to make everything much simpler for our customers, helping them get from A to B in the fastest, most cost effective, and simplest way.