Big data is a unique technology both in terms of its size and scale. With the advancement of machine learning and data science, big has a potential of impacting live and operations in different industries, in unprecedented levels and scope. Over the past decade, the amount of data generated by different industries has increased substantially. While more data can create an opportunity for businesses, it can also mean more problems if not well used. Here are some of the big data problems that must be solved to get the most:

Big data is expected to be a force to reckon with in the future in the transport and logistics sector. But the benefits it promises to offer are already being felt. Before going deeper into potential uses of this technology in the future, one has to know areas in which it is being leveraged now. As the demand for transportation and freight services rise, companies are forced to embrace new opportunities, including those provided by big data.

Big data has made a big impact and has grown exponentially ever since it made its way into the world of tech, and there is no sign of stagnating any time soon. Research predicts that big data will reach 163 zettabytes (163 trillion gigabytes) by 2025. Wondering about the size of one zettabyte? It is roughly about 2 billion years’ worth of music. The growth in the use of big data is enhanced by various factors, some of which include increased web search requests, the proliferation of media files, and the increased number of online transactions. Also, the rise in the number of IoT devices and sensors is another key driver.