Information management
CIO Trends #9: Benelux
Find out why Dutch authorities temporarily are halting datacentre construction, how Luxembourg is attracting growing IT companies. Also, discover why blockchain is causing confusion in the Netherlands and how a local academic is unmasking cybercriminals.
News : Information management
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August 23, 2019
23
Aug'19
Travel company Clarity bakes ThoughtSpot into analytics tool
Travel management company Clarity has turned to ThoughtSpot to create an analytics tool for clients as well as for internal use
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August 22, 2019
22
Aug'19
Almost 40% of UK tech talent resides in London bubble
Despite cities around the UK being home to a multitude of tech talent, the London bubble still prevails, with a majority of those with digital skills collecting in the capital
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August 20, 2019
20
Aug'19
Myriota and Optus sign deal on IoT connectivity
Myriota and Optus Business will leverage each other’s connectivity and network footprint to help Australia’s industries connect up internet of things sensors in remote areas
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August 19, 2019
19
Aug'19
Australian firm to debut smart cricket ball
With the cloud-connected ball and machine learning, amateur cricket players will soon be able to analyse their bowls and improve their game
In Depth : Information management
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Enterprise data marketplace aims to ease self-service chaos
Self-service data preparation can duplicate work and slow down analytics. One possible fix: an internal marketplace where users can 'shop' for data assets. Continue Reading
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How to unlock the true value of data
With a robust data architecture in place, a firm’s data science team can turn raw data into business insight Continue Reading
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How to deploy NVMe flash storage for artificial intelligence
We run the rule over NVMe flash as a storage choice for AI applications and the key decision points in form factor and hardware specification Continue Reading
Blog Posts : Information management
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The Enterprise Data Fabric: an information architecture for our times
This is a guest blogpost by Sean Martin, CTO and co-founder, Cambridge Semantics The post-big data landscape has been shaped by two emergent, intrinsically related forces: the predominance of ... Continue Reading
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Why empathy is key for Data Science initiatives
This is a guest blogpot by Kasia Kulma, a senior data scientist at Mango Solutions When we think of empathy in a career, we perhaps think of a nurse with a good bedside manner, or perhaps a ... Continue Reading
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Why database admins should embrace automation
There are certain functions in database administration, that are good candidates for automation. These are the nuts and bolts of the job - like how to partition the storage, what happens if a disk ... Continue Reading
Opinion : Information management
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Are there any positives from the first year of GDPR?
A year has passed since the new EU data protection law came into force. What have we learned in that time that can help organisations deliver benefits from the regulation? Continue Reading
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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
Videos : Information management
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Data-driven innovation needed in businesses -- and dog shelters
Innovation driven by data analytics is important, not only to companies, but also to dogs waiting to be adopted in shelters. SAS best practices consultant Jill Dyché explains why.
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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.