On 15 July 2014, the Public Data Group (PDG) published an open data statement, which will be of interest to any business that uses public data and/or wants to develop products and services built using public data. The PDG has stated that, given the growing interest and importance of open data to the economy and society, it feels that it is important to provide a description of the kind of data that these organizations already make available and to set out the PDG’s commitments to future open data releases and activity.
Over the past year, Indiana’s governor, Mike Pence, has spoken frequently about a persistent public health issue: a higher-than-average infant mortality rate. Pence’s staff suspected that the solution could lay hidden in the state’s records, stored in disparate data sets throughout various government agencies. Analyzing these data sets — pairing causes of death from the Department of Health with socioeconomic data from the Family and Social Services Administration, for instance — could help the state determine which preventative programs to fund, they surmised.
Is open source positioned to become the next mode of standardization in the virtualization world? It appears that might be the case following the European Telecommunications Standards Institute (ETSI) Network Functions Virtualization (NFV) Industry Specifications Group’s decision to move forward with an open source project designed to meet that end. The group hopes that open source solutions can be leveraged to provide businesses with the interoperability in their data centers that previously resulted from standardization.
For years, big data has been one of the hottest buzzwords across all industries. Big data is the term used to describe the process of analyzing complex set of data sets to discover information that could help make better decisions or find certain patterns that were previously unknown. But despite its hype, big data is still considered a relatively obscure concept, failing to reach wider roll-out in companies outside tech and highly data-driven sectors.
Whether we like it or not, big data is our future. But the data scientist Hilary Mason says the human touch is essential. “Data scientists take a real-world conundrum, dive into algorithms and mathematical models, and bring it down to earth to explain the data.”