The elusive promise of "data democratization"

Have you ever been to a corporate training course where one assignment has been to guess the number of jelly beans in a glass jar? The “competition” begins – who will win the grand prize? Invariably you will see different approaches to tackling the...

Data Innovation Summit 2016

Large enterprises in every industry have caught wind of the trends in big data and machine learning but are unable to readily capitalize on them for a number of reasons. One reason is how hard it is to secure competent resources. People with a background in SQL, SAS,...

Goodbye Data Warehouse, We Hardly Knew Ye.

I recently held the main stage at Data Innovation Summit and spoke about the emerging discipline of data science. It was an outstanding event with delegates from many countries spanning multiple industries. Hadoop and ideas of a “data lake” were given...

Breaking down the silos

What is the answer to this question? Caroline and Ron are happily married since 19 years. Caroline is 45 and Ron is 44. They have four children. Emily, Douglas, Emma and Oliver. Emily is twice as old as Oliver and Emma is their youngest child. Douglas is 4 years older...

A data scientist is a data scientist – not a sales guy

Data Scientists are normally not the best sellers and communicators. They are simply – data scientists. If you are serious about transforming your business using Big Data, machine learning, advanced analytics, and sophisticated automated data driven workflows...

Why Deep Learning?

Your competitors are probably not using it yet. Software from well-established analytics vendors has always been 5 to 10 years behind leading machine learning technology. Consider the following example: 2001 – The Random Forest algorithm was formalized by Leo...