The size of unknown risk increases with rising data levels. Organisations that understand their data and take effective control of it can reap the rewards, save costs and stop threats before they become an issue.

The threat of cyber attack is increasing exponentially in our digital world. Enterprises seeking to avoid becoming another crime statistic need to be proactive in how they implement cyber security.

The larger the business, the more likely it is to have numerous errors in its telecommunications invoices every month.

SD-WAN offers many advantages and is beneficial to many industries, but deciding what network option to choose requires careful consideration and close collaboration with your service provider.

While voice recognition technology is working elsewhere, Africa's many accents and dialects make success here more difficult.

The significant impact analytics has had on a wide variety of market sectors in recent times suggests this is fast becoming one of the key requirements in business planning, regardless of industry.

The adoption of analytics is increasing significantly, driven by a wide range of factors, encompassing everything from AI and open source to the soon-to-launch local cloud data centres.

Considering how widely e-mails are used as a business tool, most companies are surprisingly lax when it comes to properly securing their e-mails. This could lead to enormous losses in a world where cyber-crime is on the rise.

Partnerships between security organisations are the only way to develop the type of boutique-style e-mail security solutions required by the SME market.

Retailers seeking to differentiate themselves should look to the many advantages offered by purpose-built mobile devices for in-store communications and service delivery.

In the unique environment that is healthcare, personal mobile devices are simply not good enough to provide what can be a life and death service; specialised solutions are required.

Criminal activities of all sorts leave distinct patterns. Uncovering these will need an artificially intelligent machine, capable of determining unusual activities from massive data sets.