| |October 20179CIOReviewGetting value from data extends beyond sensors and machinessystems, and these solutions will continue to mature and permeate the enterprise in 2017 and years to follow. It is predicted that sensors in the 2020 models of cars with gener-ate as much as 350MB per second and this is more than a few hun-dred times more than what mobile technology can handle today. Intel-ligence is determined not just from the accuracy of the data that is cap-tured from a multitude of sources but more importantly from analyz-ing this massive mound of data to find relevant patterns to help the user make smarter choices and drive better decisions for the business. Real Time AnalyticsThe industry is experiencing the evolution of data in motion plat-forms. There is a need for a higher-level framework that can handle the many device protocols and bring all of the data flows into a distributed platform like Hadoop. The platform needs to facilitate communications in multiple protocol languages. One of the most critical aspects in develop-ing predictive intelligence into con-nected vehicles is location. A new generation of GIS-based real time processing tools for big data is being tested to enable the IoT needs of the future and process hundreds of thou-sands of datasets per second based on location relevance. The combination of data in motion and data at rest is a big opportunity for the coming year. At Tavant, we are focusing on solving one of the key challenges in the world of big data and advanced analytics to provide relevant data analytics, regardless of the point of origin, size or time the data was generated.
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