Lessons from Big Data London: All your employees should speak data
There were 150 seminars given at Big Data London, and lots of buzzwords and
on-trend topics flying between the event theaters. But one theme kept coming
up, from the technical talks to the business overviews and panel discussions:
leaders should encourage data access and interaction across their entire
It's not all about size: the value of new data sets
Companies in the data space — which leaders are realizing is every
company — can follow a tried and tested formula for success. Strip away
all the complexities of digital transformation: technical architecture, data
pipelines, change management, and there is one golden egg that is repeatedly
proving its value: brand new data.
Think you're done with digital transformation? You're not
There is much being written about why companies are failing at
If you're so smart as a leader, you'll keep it to yourself
A team in the AI field recently made a hire: a machine learning expert who is
a recent computer science graduate who interviewed brilliantly and has a track
record of impressive research projects and demonstrations. The candidate
seemed to the team a great fit to join a group of mostly hardware experts,
expanding the nascent software group. It’s not easy hiring developers with
data science and machine learning algorithm skills, as the practical
application of new research is still in its infancy with skills centered in
academia or at powerhouses like Google and Microsoft.
Like it or not, your business model speaks to your ethics
Business is about exchanging value. Crime is about taking value. Somewhere in
between is a value exchange that lies in the gray area; legal but sordid. The
gray area is where sleep is lost, or at least should be.
Business planning and the 85% rule
Understand at least 85% of the problem before you begin your work.