EGUIDE:
Old-school business intelligence (BI), although still important, is no longer at the cutting edge of modern IT projects. However, as the TechTarget 2016 spending survey shows, business intelligence is very much a priority for corporate IT.
EZINE:
In this week's Computer Weekly, we talk to AI experts about the challenges of teaching autonomous vehicles how to drive safely in often extreme environments. Our latest buyer's guide looks at business intelligence and analytics. And we examine the implications of the EU's controversial new copyright laws. Read the issue now.
EBOOK:
Predictive analytics can help businesses look for meaningful patterns in data, then build models that forecast what is likely to happen in the future.
EZINE:
In this first issue of CW Nordics in 2017, we take a look what CIOs in the region are expecting in the year ahead. We asked a select group of CIOs and analysts in Denmark, Finland, Norway and Sweden what IT projects are at the top their priority lists.
EGUIDE:
Artificial Intelligence is red hot. But what lies beyond the hype? Once it was big data, then cloud, now it is artificial intelligence, and that sub-set of it which is machine learning, that's generating more heat than light. Is there business value here?
EGUIDE:
In this e-guide, learn how Singapore's central bank as well as universities and research facilities are driving the adoption of analytics and data science, and how SAS is prepping its marketers for the data flood.
EGUIDE:
In this infographic, we take a look at what the most popular business applications being deployed, the most popular deployment models and the most popular applications being deployed in SaaS mode. Survey results taken from the 2019 IT Priorities survey carried out by ComputerWeekly.com, ComputerWeekly.de and LeMagIT.fr.
EGUIDE:
As an authority cited in the lead article in this e-guide explains, for many businesses "real time" means more frequent business intelligence reporting or data model updating. And yet, as another article in this e-guide explains, many organisations lack the infrastructure and culture necessary to deliver the required data.
