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Privacy and Security of Data at Universities

Schneier on Security

Universities are exploiting these data for research, learning analytics, faculty evaluation, strategic decisions, and other sensitive matters. Commercial entities are besieging universities with requests for access to data or for partnerships to mine them.

Privacy 82
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Doing digital right for consumer healthcare products

CGI

Fast data applies big data analytics to smaller data sets in real time. The aim is to mine data quickly and uncover actionable information for companies and brands to enhance their customer experience. i also invite you to download our white paper, Consumer Health: Winning in the digital landscape. Add new comment.

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Everteam and Technology Vs Corruption

Everteam

Big data analytics, artificial intelligence, mobile applications and other software are valuable tools to prevent, detect, investigate, and prosecute corruption. SAIF (Safety, Analytics and Investigation Framework) for example operates with everteam.iFile , a full-featured secured solution that supports key business processes and workflows.

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Are your drivers eco-friendly?

CGI

To model the relation, we combined predictive analytics with Scania data on more than three million trips completed within the last year in seven European Union countries. The paper also discusses the unexpected statistical relations encountered during the analysis. Using the models for fuel management consulting. Add new comment.

Paper 40
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A potential solution for protecting customer privacy when sharing smart meter data

CGI

With the help of machine learning and advanced data analytics, several load-monitoring techniques can deduce a customer’s activity patterns just from their electricity metering data. The risk of leaking smart meter readings. This number is expected to increase steadily in the coming years, which makes Obfuscate(.)

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Part 2: OMG! Not another digital transformation article! Is it about the evolution from RIM to Content Services?

ARMA International

Some technology trends such as real-time data analytics are on-going, while others are more recent, such as blockchain. For example, once a health record has met the regulatory requirements, the record can be anonymized and kept for years for such purposes as medical research and predictive analytics. There is virtually no paper today.

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“The Life-Changing Magic of Tidying Up.” Our Turf?

Brandeis Records Manager

Kondo’s personal record advice appears in a “Sorting Papers” section of a chapter titled, “Tidying by Category Works Like Magic.” As her chapter title indicates, Kondo emphasizes categorization as a means of getting through personal records and papers. I hope that you’ll see why below. About the Book. Okay, so far.