Latest Trends in Networking Projects

The networking field is changing fast. Here, the latest trends in networking projects such as

• Wi-Fi 6
• 5G
• Digitized spaces
• SD-Wan
• Machine learning

Wi-Fi 6: As a matter of fact, it is also known as 802.11 ax and it is an upgrade on the recent highest-speed Wi-Fi protocol in wide use, 802.11 ac. Wi-Fi 6 provides a dramatic improvement in efficiency across all existing Wi-Fi brands. The biggest improvement that comes with Wi-Fi 6 is that it increases the density of devices that can co-exist in a single space, further increasing the speed of all devices when there is more than one.

5G: 5G will provide improved speed and battery life to smartphones. As well as, the growth of fixed wireless for residences and competing with wired broadband for some communities.

Digitized spaces: New high-resolution geolocation technologies which are based on wireless radios in mobile devices, plus data mining software, are creating opportunities to understand how people and things move via physical spaces. Companies which adopt these technologies will get access to information about the users of their buildings that will open up new possibilities for business extensions and improvements.

SD- WAN : In fact, it allows networks to route traffic that is based on centrally managed rules. No matter what the entry and exit points of the traffic with full security. An example such as, if a user in a branch office is working on Office 365, SD-WAN can route their traffic directly to the closest cloud data center for that app, enhancing network responsiveness for the user and lowering bandwidth cost for the business.

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Facts About Emerging Trends in IoT Technology

Latest IoT Trends

Mobile Device Management: Security is a main concern with the IoT. MDM which means Mobile device management solutions such as Mobicontrol and VMware Airwatch can be key to ward off attacks at the endpoint for IoT devices.

IoT will enable smart cities: Several cities have been developing Latest IoT Trends services as a part of smart city initiatives. In fact, the rollout of 5G networks could provide a boost to smart city implementations such as parking meters and draw less battery power from the devices.

IoT data will be for sale: Appliance manufacturing companies will sell IoT data not only for the additional revenue. And to prove via predictive maintenance and network management data and their products work well.

Workforce Management: It can help with workforce management. Also, it helps with employee monitoring and scheduling, and this data can also be connected to performance management software

Smart Stores: Stores are getting smarter nowadays, with radio frequency identification tags providing key insights on product inventory. Smart lighting will tell stores how long customers linger in a certain alive and interact with products on shelves.

Everything Should Know About Future Trends In Big Data

Edge Computing

Edge computing will support real-time data analysis. critical data that generated by IoT devices can analyze more efficiently. Edge and fog computing is catching quickly on as they can to successfully streamline traffic from IoT devices, enables real-time local data analysis. Therefore, it also drives more AI and ML use cases.

5G

5G will enhance the mobile ecosystem to new industries. Big data will facilitate enhanced network and application intelligence via 5G. IIoT Industrial Internet of Things will optimize power, output, service levels, and safety across sectors. As a matter of fact, being around three times faster than 4G, 5G will support quick collection and processing of data at scale.

Intelligent Apps

Several enterprises are using machine learning and AI technologies are to create intelligent apps. In fact, these applications often incorporate Big Data Trends analytics, analyzing users previous behaviors to provide better personalization service.

Intelligent Security

As a matter of fact, organizations security log data provides a treasure trove of data about past cyberattack attempts which organizations can use to predict, prevent and mitigate future attempts. As a result, some organizations are integrating their security information and event management software with big data platforms such as Hadoop.