Big Data

Big data is a large volume of data that comprises data of day-to-day basis, It could be in a format of structured, unstructured or semi structured. Big Data has addressed several challenges including capturing data, data storage, data analysis, search, sharing, transfer, visualization, querying, updating, information privacy and data source.


Royal Dutch Shell realized a $1 million return on an $87,000 investment in digital technology to monitor oil fields in some of Nigeria’s toughest terrain. Shell chose random phase multiple access technology to do so.

Ingenu CEO John Horn said Shell needed just eight access points to cover its oil field footprint in Nigeria. The $87,000 investment covered the cost of the equipment and its installation. A year after the equipment was deployed, Shell had saved $1 million by reducing site visits and expediting data collection.

Machine learning and artificial intelligence are all the rage today in venture capital circles. Berkeley-based Lygos is engineering and designing microbes that convert low-cost sugar into high-value, specialty chemicals. At the core, they're developing and exploiting a number of tools, both software and hardware, and applying them to biology.

Ultimately, the ability to design and optimize microbes, or program them, is becoming faster and cheaper than ever before. This is being fuelled by cutting-edge advances in data science and biotech, and the rapidly dropping cost of reading, writing, and editing DNA (a trend that's even faster than Moore's Law for computing).

Combining big data, machine learning, biotech, and chemistry introduces a new industrial revolution.