In 2018, there will be only one Predictive Analytics World in the US: Mega-PAW,'June 5-6, 2018 in Las Vegas. The largest PAW ever, this premier event will feature five (5) conferences at once: PAW Business, PAW Financial, PAW Healthcare, PAW Manufacturing plus the inaugural Deep Learning World. Predictive Analytics World is the leading cross-vendor event covering the … [Read more...] about Predictive Analytics World Five-in-One Mega-Conference, Vegas 2018
predictive models
How Network Data Science Can Help Solve Global Inequality
The debate over global economic inequality ” including income inequality ” is a data-based debate. Economists such as Branko Milanovic and Christoph Lakner argue the data shows things are getting better because more people are now above the extreme poverty line than ever before. The other side of the argument says that, although incomes have increased, the wealthy have jumped … [Read more...] about How Network Data Science Can Help Solve Global Inequality
The Big Data & Machine Learning Revolution Comes to London
On the back of our successful event in New York, we are bringing the big data & machine learning revolution to London on April 24th. Register to receive updates on the agenda! Link: to the'London Big Data & Machine Learning Revolution The London Revolution More than 750 finance professionals registered to attend the New York Revolution but we could only accommodate … [Read more...] about The Big Data & Machine Learning Revolution Comes to London
Why The Oil and Gas Industry Needs Data Democratization
The upstream oil and gas industry needs to focus on data democratisation to gain return on innovation through big data, says Dr. Satyam Priyadarshy, chief data scientist, Halliburton. The rise of big data is featuraing strongly in the upstream oil and gas industry, and along with it comes the challenge of growth in dark data. Gartner defines dark data as the information assets … [Read more...] about Why The Oil and Gas Industry Needs Data Democratization
Why Statistical Significance Does Work For Big Data
"The key element for a successful (big) data analytics and data science future is statistical rigor and statistical thinking of humans" Diego Kuonen #5: For a large number of observations (Big Data: Volume), all the variables are significant so statistics does not work #6: Statistics does not accommodate 'consequential' statistical significance Myth #5 builds upon the old … [Read more...] about Why Statistical Significance Does Work For Big Data
