This week we saw some interesting surveys around data privacy and big data. One study found that 85% of the apps surveyed failed to clearly explain how they were using personal information; while the other survey from Accenture revealed that 89% of executives believe big data will revolutionize business operations like the Internet. In other news, Uber seems to know where you’ll be heading before you get into the cab…If that’s not enough excite you, here are the rest of the highlights from the week:
TOP DATACONOMY ARTICLES
How to Become a Data Scientist
In the first edition of a two part series, Matt Reaney, the Founder and Director of Big Cloud, tells us about the four different types of Data Scientist. Matt goes on to say that Data Scientists are not all equal and that businesses should make sure that they find the right blend for their business needs.
Modern Business Intelligence Means Intelligence Inside Everything
Brian Gentile, TIBCO’s Senior Vice President and General Manager, suggests that modern data must be easily accessible by any device, be it a PC, tablet or mobile phone. Knowledge workers scattered across the globe must be able to analyse data in whatever applications they use most, so the information must be agile, always available, usable and intelligent.
Mapping the Future of Mankind Using Historical Datasets
For centuries, society has been captivated by the idea of the eternal return. From Indian philosophy and ancient Egyptian thought, from Pythagoras through to Nietzsche, the idea that history is cyclical and events will recur again and again infinitely has always captured the human imagination. This idea was most recently put to the test by the team behind the Global Database of Events, Language and Tones (GDELT), a quarter-billion record database of events in human history. We caught up with with GDELT’s founder, Kalev Leetaru.
The Future of Machine Learning, According to Cloudera’s Sean Owen
In the first part of our interview with Sean Owen, Cloudera‘s Director of Data Science, we discussed the relationship between machine learning and Hadoop, the future of Apache Mahout and why machine learning has become such hot property. In this part of our discussion, we delved into the future of deep learning and neural networks, and how Owen foresees the relationship between machine learning and enterprise evolving.
TOP DATACONOMY NEWS
Adelaide Set to Become Smart City with Launch of Innovation Hub
In a landmark move for Australia’s fifth largest city, Adelaide City Council and Cisco will be working in alliance to create Australia’s first Internet of Things Innovation Hub. “This Innovation Hub will allow creative brainstorming and technological know-how to thrive,” said Science and Information Economy Minister Gail Gago.
MapR Performance Benchmark Exceeds 100 Million Data Points Per Second Ingest
Enterprise Hadoop vendors MapR just demonstrated that their data platform is capable of ingesting over 100 million data points a second. These impressive performance results were unveiled at the sold-out Tableau Conference in Washington, using OpenTSDB on the MapR Distribution including the in-Hadoop NoSQL database, MapR-DB.
The Chinese Academy of Sciences (CAS) is developing a new a facial recognition payment system that will allow users to authorize online transactions with their faces. The system will be released by 2015 to both individual customers and retailers.
(Image Credit: Sarath Kuchi)
