The Big Data Analytics (BDA) conference was held in London on the 22nd June 2017.
With a plethora of Big Data and Analytics specialist presentations, breakout seminar sessions and an exhibition area stacked with the latest in Machine Learning, AI and predictive analytics, the event was a great success.
Here’s a quick roundup of our top 3 take outs from the event…
Powering the Next Generation of Data and Analytics
Stephen Line – Cloudera
Stephen grasped the audience’s attention with his sharp presentation style and wit, alongside his compelling belief in the power of Machine Learning and AI. With organisations obtaining more data than ever, the opportunity to gain data insights is at many businesses’ fingertips; however, often organisations don’t know where to begin or how to extract the value it promises.
Organisations can learn from early adopters. Customer examples showed leading businesses are utilising clever machine learning to fix and predict business decisions, both on premise and in the cloud.
“Oil doesn’t generate more oil… the product of data will generate more data…” - Piero Scaruffi, cognitive scientist and author of "History of Silicon Valley", 2016
Disruption: How the World Works
Mark Allen – Capital One
Mark asked the audience to signal if they owned an Apple or Samsung mobile phone, and then asked similarly for a Blackberry phone. The results were as expected, with over 95% of the audience of over 500 people indicating they owned an Apple or Samsung mobile phone, and a mere 5 people indicating they owned a Blackberry. However, the shocking statistic was that Blackberry had been voted the most innovative company worldwide and owned the largest market share for mobile phones within the last 7 years.
Having looked at historical trends, Mark also suggested that a new disruption wave was on its way to change modern technology, hinting towards AI and machine learning becoming the building blocks of a new society.
"Most companies that fall to disruption do so because they are too good at what they do" - Mark Allen
Data Scientists: Mermaids and Manatees
Martin Squires – Boots
Martin’s comedic presentation style, paired with valuable insights regarding data scientists made for an interesting presentation.
He discussed why we are all looking for data scientists. Taking thought of the ‘10,000 hours’ theory to become an expert at anything, he predicted it would take over 23 years for a graduate to become an expert at even the minimalist data science jobs on the current market. But things are happening much quicker right now…
Technology-wise SQL and R is a knowledge tap to today’s data scientists. Their role is to build new and exciting stuff rather than managing staff. When you are looking to recruit data scientists check they have the attributes of the 4Cs:
- Common Sense
- Communication Skills – have the ability to talk to people who don’t enjoy numbers
Objective specialise in Data Analytics and software development. Becoming a BDA sponsor was a no brainer for us as it matches perfectly with our big data offering and we got to meet and talk with lots of like-minded people.
Here’s a snapshot of how our data scientists have created success.
Developed efficient product recommendation engines which has helped gain clients a significant increase in turnover.
Utilising Machine Learning, AI and predictive analytics to help clients extract value, insights and meaning from their data.