From day to day automation to device mesh, to big and small organizations all IoT has. This article will bring some great insight on the top five technologies which will be relevant to 2025 and beyond. Most of the existing technology will have become obsolete by then.

1. (virtual, augmented) mixed reality

In virtual reality (VR), the whole real world is replaced by a fake, which brings you closer to the experience of the life of the environment, whether it is a virtual tour of the dense forest, a political rally or a rugged terrain or mountains Bike Ride. Samsung Gear is one of the commonly used VRs. Facebook Oculus is a clear indication that today’s FB usage with mobile / laptops will soon be converted to VR mode.

Augmented reality (AR) is the place where real-world elements are supplemented by computer simulation in real-time. Different areas like archeology, visual arts and education use AR. Even though AR is less exciting than VR, but experts claim that it can be more useful than later. After 2017, AR revenues will improve and hit significant mass in matters related to health care delivery and product design and management use.
Microsoft HoloLens and Magic Leap are in the stage of bringing mixed reality – customers have a holographic experience. Think of a situation where you can see a dinosaur or a plane coming down from the comfort of your office. The recent video release of Magic Leap shows the solar system around an office desk and a steam-punk robot under a computer desk. Actually we can see the transition of AR / VR to a coherent nature of the user experience for the customer in a mixed reality.

2. Connected Intelligent Systems

Firstly, automating robotic process automation (RPA) – rule-based process will be available in 2020 by a mature step. Second, mobility applications which have been taken in the mainstream for the past few years, will see a major drop in downloads – by 2019, 20 percent of their brands will drop their mobile app [Gartner, Newsroom]. Third, the data science-driven Big Data System will look for very intelligent systems to calculate data. Finally, the IoT device will see a rapid increase in usages and surrounding questions for shaping and attracting data for useful information will be difficult again. These technology will take advantage of the Platform Machine Learning and Artificial Intelligence System and change on an integrated platform to understand, simplify, predict, improve the user experience, and develop a better experience on an integrated platform. Will be there.

By 2019, 40 percent of all digital transformation initiatives – and 100 percent of all effective IoT endeavors – will be supported by cognitive / AI capabilities [IDC, 2016]

3. Cyber ​​Security

The use of mobile applications on social media and social platforms has resulted in changes in cyberspace. In addition to personal data, the risk of corporate data is always on the edge. DDoS (deprived of service) is one of the increasing forms of attack. Recent DDOS attacks of DARs, which were infected with infamous malware on cameras and DVR, have tightened their backbas to each organization to strengthen their cyber security standards – this attack has mainly come through Mirai Botnet, Which transmits 100,000 end points. It has brought down a large portion of the US Internet and it is considered to be of a kind in the history of cyber violations. The Cyber ​​Security Intelligence Board will focus on the top of the room and the aligned security solution will take center stage at the beginning of 2017 and the next five years will have a fast focus scale.

At global level, the cost of data infringement can reach up to $ 2.5 trillion by 2020 [Juniper Research, 2016]. The cyber security expenditure is expected to reach $ 1 trillion in the next five years. It makes the rise of cyber security infrastructure and application solutions mandatory. Services related to advanced security threats, email security, cloud mobility, and IoT security solutions, datacenters and network security solutions will lead to the mainstream of business for some major cyber security service providers like Symantec, Force Point and major consulting firms. Take the edge in this space. By 2018, 90 percent of the organizations will implement at least one integrated DLP, which is above 50 percent today. [Newsroom, Gartner]

4. Digital twins

In simple words, Digital Twin is a technique that combines physical and digital society, and brings a digital view of your product. Digital Twin is an integration of your Technical Evangelist, which is tied with capable monitoring capabilities through advance predictive analysis. It has been used to monitor, analyze, and predict the future performance of your property through various simulation scenarios in the recommended physical properties. The advancement of Digital Twin Enabled can help a surgeon during discovery surgery, thereby increasing the probability of successful outcome. Similarly, it can be used to enable security, performance, customer experience and digitization in various industrial areas.

Digital Twin is an important technique for digitizing the physical world [Dimitrie Volckmann, GE Digital]. Today GE has more than 551,000 digital twins and this count will increase. Digital Twin will be the main technology focus area for all industrial service organizations. Gartner predictions of 2017 portray Digital Twin as one of the top 10 technology trends of 2017 and above.

5. Industrial Internet

The power of advanced computing, analytics, low-cost sensing and new levels of connectivity allowed by the Internet.

By 2019, 45 percent of the IoT-built data will be stored, processed, analyzed, and worked on the edge of the network or [IDC, 2016].

Industrial Internet companies enable the use of sensors, software, machine-to-machine learning, and other techniques to collect and analyze data from physical objects or other major data streams- and then use these managed results. Manage or new, value-added Services using predictive algorithms, automation, physics-based analytics, and deep domain expertise.

One example, using LIDAR (“Light Detection and Ranging”), a laser sensing system mounted on the roof, driver-less Google car can collect various data, including road geometry, obstacles and other environmental Includes data, which offers a better feature. Control of the car in real time through its throttle, brake and steering mechanism.

These top 5 technologies are agnostic and will definitely make a leap in the coming years. This will definitely be one of the top 3 agenda items inside the board room discussion. We are in the era where technology leads the business and gives rise to the top development for the organization.

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