Big data analytics
Big data analytics is the often complex process of examining large and varied data sets -- or big data -- to uncover information including hidden patterns, unknown correlations, market trends and customer preferences that can help organizations make informed business decisions.. See complete definition.
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Computer Weekly's buyer's guide to big data
In this 13 page buyer’s guide, we look at data analytics, how to get value out of it and the benefits of process mining.
News : Big data analytics
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March 22, 2019
22
Mar'19
London launches open data cultural map
The collated data on the capital's cultural locations is hoped to support local authorities, property developers and associations develop existing clusters and build creative infrastructure
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March 21, 2019
21
Mar'19
Machine learning approaches gain critical mass for data pros
Machine learning will bring change to analytics and data management, said data luminary Michael Stonebraker. Others agree managing such change will take special effort.
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March 20, 2019
20
Mar'19
IBM demos quantum leap in artificial intelligence
Working with MIT and Oxford university, the researchers have looked at how quantum computing can accelerate data classification in machine learning
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March 19, 2019
19
Mar'19
Government launches investigation into AI bias
Advisory body will look at how systems that support decision-making may have inherent algorithmic biases that need to be taken into account
In Depth : Big data analytics
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Explore Hadoop distributions to manage big data
Discover the uses of Hadoop distributions and the first steps in evaluating these products, as well as how the merger of rivals Cloudera and Hortonworks affects the market. Continue Reading
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Can work allocation algorithms play fair?
Allocating work by algorithm might have advantages for workers as well as employers. Can it be done fairly and with respect for “human capital”? Continue Reading
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West Midlands Police turns to predictive analytics
Force is developing a system to identify potential perpetrators of violent crime and aims to target resources – but how viable is the system and what are the challenges? Continue Reading
Blog Posts : Big data analytics
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GDPR: Irish Data Protection Commission may show where the WWW is heading
The Irish Data Protection Commission's (DPC) annual report makes interesting reading, given that the World Wide Web is celebrating its 30th birthday this month. People regularly give away vast ... Continue Reading
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IT misaligned with business' appetite for data
A recent pop event at Lloyds Bank in London hosted by DominoData has highlighted one of the age-old ailments of IT. It is the illness of being misaligned with the business. The latest example of ... Continue Reading
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AI keeps seeing average people
There is a mantra in technology that if a program is fed bad data, it will produce bad results. The same is true of AI. The quality of a machine learning application is directly related to the ... Continue Reading
Opinion : Big data analytics
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The winter of AI discontent – thoughts on trends in tech ethics
All organisations need to consider the ethics of their technology use, especially as artificial intelligence tools become more mainstream Continue Reading
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Building Britain’s national digital twin
The tech sector and wider industry are coming together to create a “digital twin” of Britain to help improve the nation’s physical infrastructure – and you can help Continue Reading
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Putting the UK at the forefront of ethics and innovation in AI and data
The announcement of high-profile members of the UK's Centre for Data Ethics and Innovation is another step for the government's commitment to be a global leader in AI, says secretary of state Continue Reading
Videos : Big data analytics
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Enterprise data lake deepens big data management challenges
Distributed data lakes with Hadoop clusters and other systems create new data management and governance needs that are hard to meet with existing tools, says IT analyst Mike Ferguson.
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'Artisanal' Hadoop environment complicates big data system design
Gartner analyst Merv Adrian discusses why organizations often have trouble with deployments of Hadoop-based big data architectures, and how to avoid the challenges they pose.
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Computer Weekly @ 50: The next big things in tech – a developers’ perspective
Leading technology experts discuss the trends in enterprise software and how this will impact future applications