Big Data. Small Laptop. (Part 2 of 3)
Developing useful predictive models in a resource constrained environment. (Part 2 of 3) Some data points are far far more valuable than others By Steven Finlay Not everyone can afford to invest in Big...
Category: Expert Articles
Big Data and The Great A.I. Awakening. What are the ethical and societal implications?
By Roberto V. Zicari, Frankfurt Big Data Lab, Goethe University Frankfurt I drafted a note (almost a fragment) derived from various interviews I conducted on the subject of ethical and societal implications of AI and Big...
IBM Ends Hadoop Distribution, Hortonworks Expands Hybrid Open Source
by Merv Adrian, Research VP, Gartner | June 21, 2017 IBM has followed Intel and EMC/Pivotal in abandoning efforts to make a business of Hadoop distributions, and followed Microsoft in making Hortonworks its supplying partner. At the former Hadoop Summit, now called...
TOWARDS DEMOCRATIC SUSTAINABILITY
by Dirk Helbing, ETH Zürich 1. City Olympics Proposition Competitions for the best kinds of technologies, solutions for resource shortages, and a quick implementation of new solutions can be achieved through Global City Olympics. Comments: Cities...
Big Data. Small Laptop: Developing useful predictive models in a resource constrained environment.
For most business problems you can get 95+% of the benefits by analysing only a small proportion of the available data. By Steven Finlay The cost of entry into the world of Big Data...
Islets Protect Sensitive IoT Information
SSRN WP 2836282 Islets Protect Sensitive IoT Information Verifiably ending use of sensitive IoT information for mass surveillance fosters (international) commerce BY Carl Hewitt Islets is a system for citizens to coordinate with IoT...
Q&A with Data Scientists: Manohar Swamynathan
Manohar Swamynathan works as a Staff Data Scientist at GE Digital. He is passionate about data / insight and is an avid programmer. He’s had a career covering life cycle of data across different...
Q&A with Data Engineers: Andy Pavlo
Andy Pavlo is an Assistant Professor of Databaseology in the Computer Science Department at Carnegie Mellon University. At CMU, he is a member of the Database Group and the Parallel Data Laboratory. His work...
A Quick Artificial Intelligence Update
by Saad Hirani Artificial Intelligence is offering the kind of revolution mankind first saw a 100 years ago with electricity, with Andrew Ng, the former Chief Scientist at Baidu claiming he can’t think of an...
Q&A with Data Engineers: Carlos Ordonez
Carlos Ordonez studied at UNAM, Mexico, getting a B.Sc. in applied mathematics and an M.S. in computer science. He continued PhD studies at the Georgia Institute of Technology advised by Edward Omiecinski, focusing on...