Big data analytics

Big data analytics is the often complex process of examining big data to uncover information -- such as hidden patterns, correlations, market trends and customer preferences -- that can help organizations make informed business decisions.. See complete definition.

August 13, 2021 13 Aug'21
UN special rapporteurs call for surveillance tech moratorium

In the wake of revelations about NSO Groups Pegasus spyware, a number of special rapporteurs from the United Nations are re-igniting calls for a global moratorium on the sale and transfer of surveillance technologies
August 12, 2021 12 Aug'21
Same-day delivery firm CitySprint fields Salesforce for customers

Same-day delivery specialist CitySprint uses Salesforce across its contact management, sales and marketing teams
August 10, 2021 10 Aug'21
How Grab is using Kafka in fraud detection

Grab is using Apache Kafka in its fraud detection and prevention platform to ingest event streams from its mobile software development kits and client backends to pick up fraudulent activities
August 09, 2021 09 Aug'21
Anglian Water firms up £24m data and digital framework

Anglian Water has established a £24m data and digital programme to help meet its asset management plan objectives, as set by Ofwat

Oracle Fusion cloud applications pathways tend towards pragmatic

Oracle’s full suite of cloud applications can be a pragmatic step-by-step journey for customers – we look at some examples Continue Reading
Lakehouse concept aims to merge data lake and data warehouse

Data lakes are big, amorphous and difficult to access, while data warehouses are costly and aimed at structured data. The data lakehouse aims at analytics in an age of unstructured data Continue Reading
Real-time analytics begins to find business vocation

Continuous real-time analytics, operating at sub-second speed, are finding real-world applicability across industry sectors, such as retail, transport and banking. Their value crux: can businesses act on the signals provided? Continue Reading

One year on from the UK exams algo fiascos

Algorithms got themselves a bad name in the summer of 2020. This year’s Scottish Highers and rest of the UK A-Levels results have been algo-free. But not free of their usual class bias: private ... Continue Reading
Will databases be the kingmakers in the cloud wars?

This is a guest blogpost by Mike Waas, CEO of Datometry The days where Hyperscalers competed primarily for their customers’ compute and storage needs are numbered. Over the past years, enterprises ... Continue Reading
Beware the 1% view of data science

This is a guest blogpost by Shaun McGirr, AI Evangelist, Dataiku As data science and AI become more widely used, two separate avenues of innovation are becoming clear. One avenue, written about and ... Continue Reading

How CIOs can help their organisations accelerate digital transformation

Companies need to win the trust of their customers to gather the data they need to transform their businesses Continue Reading
Why a data-driven world should consider an oath of ethics

The Hippocratic Oath is perhaps the most widely known of Greek medical texts – and such an oath is needed in data science Continue Reading
Can we rely on AI?

As artificial intelligence comes increasingly to bear on human lives, how ought we to address social and ethical concerns? Is a tighter symbiosis between human systems and AI systems the way forward? Continue Reading

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
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
Hadoop projects should start with real business need

Consultant Rick Sherman discusses whether Hadoop has become a must-have technology for organizations and what to consider in weighing deployments.