EZINE:
In this handbook, Computer Weekly looks at how companies and data management experts are tackling data challenges, and finds out how organisations are augmenting data management through artificial intelligence and machine learning.
EZINE:
In this week's Computer Weekly, we take an in-depth look at GDPR – the new EU data protection regulation - with only 12 months left to prepare, we hear how one firm is using machine learning to revolutionise online fashion retail, and we examine how CIOs can apply lessons from buying software to improve digital transformation.
INFOGRAPHIC:
Before implementing Enterprise Content Management, it's important for organizations to develop an ECM roadmap or strategy to identify the top priorities and get clarity on the necessary procedures and technologies it entails. This infographic outlines the steps to successfully implement an ECM system.
EGUIDE:
Building a data catalog is an important initiative for many IT and data management teams. But organizations shouldn't undertake a data catalog project without getting input from business users. In this e-guide, learn why data catalogs have become a core component of the data management environment, and the 10 steps to build a data catalog.
EGUIDE:
The General Data Protection Regulation has been in place for over 18 months now, but its implementation is only really just becoming clearer as regulators begin to fine organisations that fail to meet the rules. That is because different countries are implementing it differently. This e-guide gives a snapshot of the current state of GDPR in Europe.
EZINE:
In this week's Computer Weekly, the EU's new GDPR rules come into force this week – we ask if companies are ready and look at what happens if you're not compliant. Our latest buyer's guide examines digital transformation and the role of the CIO. And we find out how technology is changing the traditional sport of cricket. Read the issue now.
EGUIDE:
With a robust data architecture in place, a firm's data science team can turn raw data into business insight. We take a quick look at how this can be done.
EGUIDE:
Applying technology like machine learning to transaction data could significantly increase the proportion of money laundering activity that is detected. It is projects like this that are driving demand for data science skills. In this e-guide, read about the power of data against money laundering, and how to get the skills to turn data into gold.
EGUIDE:
Applying technology like machine learning to transaction data could significantly increase the proportion of money laundering activity that is detected. It is projects like this that are driving demand for data science skills. In this e-guide, read about the power of data against money laundering, and how to get the skills to turn data into gold.
