Is your data big enough to be called “big data”? Are you confused about how artificial intelligence and machine learning relate to each other?
By infoNation's Stuart Coleman and Bogi Szalacsi Many have claimed actuaries and actuarial science should be recognised as the early practitioners and building blocks of modern day data science. After all, the actuarial profession dates back to the 1800's, the dawn of the modern insurance industry.
By Bogi Szalacsi - Senior Associate - infoNation In 2018 global companies seemed to be plagued by data breaches on a weekly basis, it seemed no sector escaped. Governments, airlines, hotel chains, healthcare and social media were equally targeted and the number of people affected worldwide was in the billions. The vulnerability of our personal data doesn't seem to be improving with the years, in fact it appears to be spinning out of control. Yesterday's "Big Data" is today's not-so-big data and the amount of personal data stored by corporations is mind boggling. While it's now practically impossible for anyone to live off the grid and not provide personal data for even the most basic everyday needs, in 2018 our data was less secure than ever before. So what can you and your organisation do to protect data and customer confidence? Do your new year's resolutions include a better management of your valuable customer data? Why not take advantage of our promotion to sign up for data security courses with the Southampton Data Science Academy. The SDSA, part of the Web Science Institute at the University of Southampton - a leader in the fields of web and data science - offers several online courses in the area of data security.