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The real issue is making day-to-day sense of it the insight inside the business, driving action and requiring change.
Most enterprises are scratching the surface in effectively taking advantage of Big Data.
Steve is the former founder and CTO of Prelert, a London based software company that developed novel unsupervised machine learning technologies to identify anomalies in IT Ops and IT Security data.
Prelert was acquired by Elastic in September 2016, and Steve continues to grow and lead the machine learning group at Elastic.
Tinder: Perhaps considered the most controversial of the dating apps, Tinder uses a combination of looks and geographic data as a means for a connection.
This app connects to a user’s Facebook account, and uses the data from this social media website to display mutual friends between 2 individuals.
In fact, it’s been around for quite some time, but has only recently been exploded in the mobile space.
People thought it was a poor way to find love, because the relationship was created through digital means versus in person social interactions. With the invention of the smart phone/i Phone apps, dating has been taken to a whole new level.
It has now actually become trendy to use digital devices to find another person.
While the traditional dating websites such as and have created apps as an extension of their websites, let’s take a look at the popular/up and coming aka “trendy” dating apps.
Hear the story of how she went on to hack her online dating life — with frustrating, funny and life-changing results.
Watch Amy talk about her book on Good Morning America, which aired Jan. Is your online profile keeping you from attracting the right mate?