Do you know who to contact when there’s an issue with network connectivity? How about when you urgently need to decommission a mobile device? Not knowing who to contact is a very common pain point in many businesses.

Enterprise mobility is a vital component of any successful business, underpinning how employees, customers, and suppliers connect, collaborate, and operate in a digital world. But the benefits of greater flexibility, mobility, efficiency, and productivity can come with ever-escalating costs. This is an increasingly sensitive pain point for technology and finance leaders who must find new ways to adopt new technology while reducing CapEx spending.

As remote working becomes increasingly popular, it becomes crucial to effectively manage the fleet of mobile devices within your team. When a business partners with a mobile device lifecycle management service, this reduces the burden placed on IT departments, as configuration, software updates, security, procurement and disposal are all under one system. In a team where everyone is dependent on a mobile device or computer, maximising functionality and productivity is essential to business success, and this can be better achieved through mobile device management.

For the fifth consecutive year, imei partner GEMA (Switzerland-based Global Enterprise Mobility Alliance) has been recognised in the Gartner Magic Quadrant for Managed Mobility Services (MMS), scoring a visionary ranking for the fourth time. GEMA provides enterprise mobility managed services for multinational organisations through its network of in-country experts such as imei.

Such is the complexity of natural human language, it took the loveable eco-friendly but rusty droid character WALL-E more than 700 years on this planet to develop intelligible human language. That’s because there’s unstructured data to contend with as well as formal rules that have too many exceptions (I’m looking at you I before E expect before C). Ripe with nuances, real-world context, and sometimes unfortunate double meanings, natural human language has been near impossible for computers to understand and mimic in a way that truly makes sense.