Unsupervised Machine Learning, Most Promising Ingredient Of Big Data
Orange (France Telecom), one of the largest mobile operators in the world, issued a challenge “Data for Development” by releasing a dataset of their subscribers in Ivory Coast. The dataset contained 2.5 billion records, calls and text messages exchanged between 5 million anonymous users in Ivory Coast, Africa. Various researchers got access to this dataset [...]
Commoditizing Data Science
My ongoing conversations with several people continue to reaffirm my belief that Data Science is still perceived to be a sacred discipline and data scientists are perceived to be highly skilled statisticians who walk around wearing white lab coats. The best data scientists are not the ones who know the most about data but they [...]
The Future of Organizations, The Future of Technology
While attending HP’s Discover event (disclosure – HP covered some of my expenses for attending the event) in Frankfurt in December I was invited to take part in an interview alongside fellow Antipodean Paul Muller. The interview started off with Paul Muller explaining what he does in terms of looking at the macro trends impacting [...]
Hubris and the Data Scientist
ReadWriteWeb‘s Joe Brockmeier captures a recurring issue from last week’s O’Reilly Strata conference, asking “Can Big Data replace domain expertise?” According to Brockmeier, the audience (of data scientists) apparently narrowly agreed that their arsenal of tools and algorithms trumped the knowledge and experience of the meteorologists, financiers, and retailers to whose domains data scientists are increasingly [...]
Executive Summit kicks of O’Reilly Strata Conference 2010
I’m in Santa Clara this week, attending O’Reilly‘s inaugural Strata Conference. Today, I’m spending the day in the event’s Executive Summit, where I hope to hear some of the ways in which ‘normal’ businesses are approaching the opportunity of making their data work harder. The notes that follow are a rather raw summary of some [...]
