Anonymization of data involves taking steps to remove personal identifiers from a set of data. Once data is anonymized, it should be impossible -- or at least very difficult -- to figure out who the stored data is associated with. The term de-identification is often used synonymously with anonymization in this context. Data is typically anonymized to protect the privacy of the … [Read more...] about Data De-Identification and Anonymization: Why and How It’s Done
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Green Datacenter Conference
The conference for forward-thinking data center builders, designers, managers, and more returns! Our 2019 program will feature all new talks, and interactive sessions designed to help you implement secure, efficient data center management strategy to generate innovation and growth. WHAT TO EXPECT A line up of distinguished speakers from the enterprise organizations and … [Read more...] about Green Datacenter Conference
Chief Data Analytics Officers & Influencers: Insurance
Chief Data Analytics Officers & Influencers(CDAOI): Insurance 2019 returns to New York City, June 11-12 for two days of networking and top level discussion. Featuring expert speakers from top insurance organizations, such as Allstate, John Hancock, MetLife, Prudential, Swiss Re and many more! CDAOI: Insurance will be focused on data analytics topics specific to the … [Read more...] about Chief Data Analytics Officers & Influencers: Insurance
The Simplified Science behind Data Extraction
In today's world, the business community needs to embrace technology even more than before. With the digital age upon us, each step creates more opportunity but also more confusion. One key concept you need to understand is the data extraction possibility. It could help your business in a big way or your competition, depending on who uses it better. Here is what you need to … [Read more...] about The Simplified Science behind Data Extraction
Understanding Data Fusion: The Challenges and A Way Forward
Data fusion, the art of merging information from multiple sources to create sophisticated models, presents significant potential benefits for a range of industries. This is a fundamental problem in many domains as one tries to bootstrap a data economy. Bringing together heterogeneous datasets, however, poses several conceptual and technical questions, particularly when … [Read more...] about Understanding Data Fusion: The Challenges and A Way Forward
