Big data analytics
Big data analytics is the often complex process of examining large and varied data sets, or big data, to uncover information -- such as hidden patterns, unknown correlations, market trends and customer preferences -- that can help organizations make informed business decisions.. See complete definition.
When algorithms don’t play fair
In this week's Computer Weekly, we report on the auditing of algorithms to countervail bias. We examine what CISOs can learn from Covid-19. And we assess how competent AI is at building applications that deliver the best possible customer experience, in our buyer's guide to modern software development. Read the issue now.
News : Big data analytics
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November 25, 2020
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Scottish government unveils strategy for digital planning
Scotland’s government has published a document that describes its strategy for the digitisation of the nation’s planning system
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November 25, 2020
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UK government Geospatial Commission stipulates actions to exploit location data
Report outlines some actions public bodies and companies can take to make better economic use of location data
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November 23, 2020
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Inside Huawei’s APAC cloud strategy
The Chinese technology giant is counting on its strengths in hardware infrastructure and focus on research and development to make a mark in Asia Pacific’s public cloud market
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November 20, 2020
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Claritas taps AI to enhance medical images
A Singapore startup has developed a cloud-based medical imaging platform to enhance the quality and accessibility of radiology images for doctors and patients
In Depth : Big data analytics
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Brain researchers get NVMe-over-RoCE for super-fast HPC storage
French neurological researchers deploy Western Digital OpenFlex NVMe array for super-fast HPC storage with Ethernet-based NVMe-over-Fabrics connectivity across several floors Continue Reading
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Big data vs. artificial intelligence: How they compare
Artificial intelligence can help synthesize and analyze the large volumes of information provided by big data initiatives. The two are different, but they work well together. Continue Reading
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How crowd simulation modelling enables organisations to develop social distancing strategies
Crowd simulation modelling has a role to play in maximising the Covid security of offices and other buildings by facilitating social distancing to help get people back to workplaces Continue Reading
Blog Posts : Big data analytics
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Software: to build or not to build? That is the question
This is a guest blogpost by Kevin Hurd, Founder & CEO, Digital Hive. In 2015 Microsoft’s CEO Satya Nadella famously said: “every business will be a software business”. And it’s hard to argue ... Continue Reading
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Location intelligence: Geospatial technology’s vital role in the UK’s housing crisis
This is a guest blogpost by Stuart Bonthrone, Chief Executive, Esri UK. The UK’s housing crisis has reached a crunch point over recent years - and it’s now estimated that a massive 345,000 new ... Continue Reading
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Data-driven digital transformation: five technology initiatives for the age of Covid-19
This is a guest blogpost by Rich Pugh, co-founder and chief data scientist, Mango Solutions The things we do not know about Covid-19 seem almost endless. There are no clear answers yet to some of ... Continue Reading
Opinion : Big data analytics
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Love (and impact sourcing) in the time of Covid
Amanda Lewis, a lawyer specialising in IT outsourcing, describes the diversity and inclusion work of Digital Divide Data Continue Reading
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Gartner: Balance safety, privacy and productivity when employees return to the workplace
Organisations may decide that data collection can help keep employees safe in a Covid-secure workplace – but employers must consider all the privacy and productivity implications Continue Reading
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Data institutions play critical role in solving global social problems
Nigel Shadbolt, co-founder of the Open Data Institute, argues that a new breed of data institutions have a key role to play in unlocking the social and economic value of data Continue Reading
Videos : Big data analytics
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How DBS Bank is tapping data analytics to improve customer service
DBS Bank’s managing director & head of consumer banking and big data analytics technology talks up the bank’s data analytics initiatives and how it is fostering a data-driven culture
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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.