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IBM’s Plan to Acquire Clearleap and Make Use of “Dark Data”

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Managing cloud videos

International Business Machines Corporation (IBM), or IBM, has made yet another strategic move after acquiring Aspera in 2014 and Cleversafe in October 2015. IBM has announced its intention to acquire Clearleap in an effort to enable its cloud users to get better access to videos from handheld devices. Clearleap is a seven-year-old Georgia-based company that has expertise in creating technology platforms that the offer seamless transfer of massive videos to traditional TV systems and multiscreen devices.

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The acquisition would allow IBM to integrate into its cloud platform, enabling the company to manage its cloud videos and give a more remarkable experience to video users. The acquisition would also likely help IBM to connect with their customer, partners, to share webcasts, and offer training courses.

Nothing to fear about Dark Data

By acquiring Clearleap, IBM would be positioning itself as a major video delivery platform. According to IBM’s own estimation, video will make up around 65% of all business traffic by 2019 and is already an integral part of “Dark Data.”

Dark Data is unstructured data that does not have a row or column format that companies generate and aggregate—quite similar to a traditional data format that is unreadable to computers. IBM plans to help companies make use of this kind of data and allow aggregators to gain insights from it.

Video flying high in the cloud space

Videos are becoming one of the biggest components of cloud offerings. Without this, either IBM would not recognize as a complete solution provider, or they would need to outsource the component from third-party companies. Clearleap’s technology will likely integrate with technology from CleverSafe, which specializes in speeding up storage and managing unstructured data. By contrast, Aspera transfers massive files across the cloud. The integration of all three will enable the customer to store, index, and retrieve video content on the IBM cloud.

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Continue to the next part of this series for a look at IBM Watson.

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