Protecting Big Data, while Preserving Analytical Agility

Thales eSecurity

The age of Big Data is upon us. And, as more data is available for analytical purposes, more sensitive and private information is at risk. Protecting the confidentiality and integrity and of warehoused data and ensuring that access is controlled is vital to keeping that data secure.

Technology sets the pace of change in content delivery and management

CILIP

Now we are in a place where Big Data and Artificial Intelligence (AI) are the ideas that are set to launch the next big thing. New conference, ConTech, which takes place in December and is in its second year aims to capitalise on the buzz about data and AI for anyone working with content ?

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CILIP?s third Chinese accreditation at Nanjing University of Information Science and Technology

CILIP

s third Chinese accreditation at Nanjing University of Information Science and Technology (NUIST). The Bachelor of Science programme in Information Management & Information Systems is a welcome addition to CILIP?s About Nanjing University of Information Science and Technology.

K&IM Matters: From AI to the Chartered Knowledge Manager

CILIP

Technologists are developing big data applications that are coming more into the public eye, and Industrial Revolution 4.0 In one positive example of reaction to the opportunities, LibrariesWest is sharing library and personal data between six public library services in the West Country.

Changing CILIP in the context of our changing profession

CILIP

CILIP CEO Nick Poole's speech to the Cambridge Library Group at the University of Cambridge for the Cambridge library group on the 27th February. Not so very long ago, I was asked whether I was optimistic or pessimistic about the future of libraries and indeed of librarians.

MicroStrategy World: 2019 a Breakthrough

Perficient Data & Analytics

Publiseh personalized dossiers to the library. Open to lots of other reporting tools and data science tools. Data Discovery. In demo, connected to original data in snowflake and was able to further enrich an existing football dossier. Showed how a data scientist was able to pull data from MicroStrategy, review and gain insight, then publish back to MicroStrategy. Then had PowerBI connect to the trusted data in the enterprise semantic graph.