Intelligent CIO Middle East Issue 41 | Page 38

business ‘‘ TALKING //////////////////////////////////////////////////////////////////// environments across new and modernised buildings and campuses. 4. Cloud adoption extends to wireless networks What once was a snail’s crawl towards the cloud computing model, has become more distinctive recently, and studies have shown that enterprises are adopting cloud computing faster than ever before. Enterprises are investigating the benefits of managing wireless networks through the cloud. Yes, cloud is a different way of thinking about network management, but it’s a far easier way to configure and can have access to 4D visualisation of buildings, showing reported threat locations, as well as entry and exit points and can provide real-time communication between staff, students and visitors to confirm which rooms have been secured and which rooms have not. This allows responders to focus on the correct areas – the ones needing the most immediate attention. 6. Surge in AI-powered analytics and Machine learning In 2019, Machine-based learning will go mainstream in all areas of the campus. Limited staff and stagnant budgets are forcing IT to get creative in implementing smarter networks that utilise features incorporating machine-based learning and automated intelligence to augment deployment and support efforts. In the coming year, we will see an expansion of these technologies throughout the campus environment, impacting not just Information Technology, but Instructional Technology and Operational Technology as well. The network should be able to tell you how it’s performing when problems occur and also the potential root cause. And even better – it can recommend optimisations when it detects things like new smartphone updates, changes to the network infrastructure, or even when the floorplan of a building is modified. By monitoring the network from the user’s perspective as well from the infrastructure itself, network operations teams will seek better access to the data they need, to easily identify root causes. Machine Learning provides a faster and more prescriptive way to analyse the data. And ultimately, intelligent insights help fix potential issues before users are left with a lasting and negative impression of how the network performs. 7. Evolution of the MSP Model manage networks at locations scattered around the country or the world. 5. Enterprise safety This is not a new trend, but in 2019 many large enterprises will take advantage of advanced technologies such as location-based services (LBS), in large schools for example, to enhance campus safety and security. Here’s one example of using LBS to respond to an onsite threat event: first responders 38 INTELLIGENTCIO “ UEBA CAN IDENTIFY PATTERNS IN TYPICAL USER BEHAVIOUR AND ALERT IT TEAMS. MSPs are becoming more refined and are gradually aiming to deliver enterprise-grade solutions that are easy and simple to use and deploy. MSPs will grow to become virtual CIOs serving small and medium businesses (SMBs) by offering Network-as-a-Service. Apart from managing an SMB’s day-to-day IT operations, these providers will become active members of these customers’ organisations and contribute to their success by recommending the latest advancements in networking technologies to support business goals in real-time. Conclusion With the increasing trend of the latest technological advances, companies have to invest a lot in improving business processes. Automation remains the key aspect of boosting companies’ productivity and efficiency. The above-mentioned enterprise mobility solutions can play a crucial role in this department and companies that implement them will have a distinct competitive advantage over those that lag behind. n www.intelligentcio.com