Expertises

Top 5 Strategic Technology Trends for 2016
Whether its proximity beacons in a store, health monitors strapped on patients or machines on a manufacturing line, Internet of Things allows complex links between data sources. As a Freelance technical Writers, I am going to explore top 5 strategic technology trends for 2016 1. IOT Platforms The integration, security, management as well as other latest standards and technologies of the Internet of Things platform are the fundamental set of abilities for securing, managing and making elements in the Internet of Things. In order to make the IoT a reality, it build the work information technology does behind the scenes from a technology and an architectural standpoint. It is a well known fact that the Internet of Things is an integral part of the ambient user experience and digital mesh and the dynamic and emerging world of Internet of Things platforms is what makes them possible. 2. Adaptive Security Architecture The complications of algorithmic economy and digital business incorporated with an evolving hacker industry which is increasing the threat surface for the firm. Depending on the rule-based security and perimeter defense is inadequate, especially as companies avail lots of cloud-based services and open APIs for partners and customers in order to combine with their systems. The leaders of Information tech (IT) should focus on checking and responding to threats in order to prevent attacks. 3. Information of Everything In 2016, Information of Everything (IoE) is another buzzword on the lips of everybody. In the digital mesh, all the things created, utilizes and transmits data .In order to connect data from all these data sources, IOE addresses this wide surge in data with technologies and strategies. With my personal experience as a Technical content writer, IOE play a vital role in today’s digital mesh. 4. Advanced Machine Learning In Strategic Technology Trends, deep neural nets move beyond information management and classic computing to build systems which may automatically learn to see the world. The complication of data and explosion of data sources makes manual uneconomic and analysis infeasible and classification. Deep neural nets automate this work and address key challenges linked to the IOE trend.

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