EGUIDE:
In this e-guide: HR software had long been a relatively backward zone of enterprise software before the Covid-19 pandemic. It had been catching up, as organisations applied digital approaches drawn from customer experience to employee experience, encompassing the journey from recruitment, through working and learning, to moving up or moving on.
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?
EZINE:
Businesses across ASEAN will soon have to comply with a new data protection law – the General Data Protection Regulation (GDPR) that will apply to companies that collect the personal data of Europeans. In this month's edition of CW ASEAN, we look at how ASEAN is gearing up for the GDPR, the current state of compliance and its impact on businesses.
EZINE:
German investment banking giant Deutsche Bank is opening a division focused on innovation as part of its plan to digitise all business operations. Read more details in this edition of CW Europe.
EBOOK:
Data analytics for the solution of first-order business problems is probably more important than ever. It is not new. Companies and organisations have been analysing computerised data for many decades. But all sorts of companies now pronounce themselves "data driven". Read more about business analytics trends in this exclusive e-guide.
ESSENTIAL GUIDE:
This special report from CEB offers some practical proven solutions to help IT leaders recruit and retain a better balance of employees.
EBOOK:
ECM software, once limited to document management, has broadened its applications to include records management, web content management, workflow and collaboration. Learn how to evaluate ECM software to see which ones belong in your enterprise information toolkit.
EGUIDE:
In this e-guide, discover the 10 must-have features in big data analytics tools that can help reduce the effort required by data scientists to improve business results.
