As part of regular business, enterprises generate a lot of dark data -- unstructured data in the form of employee emails, customer communications, presentations, manuals, maintenance and research notes, etc. Data relevant to the enterprise is also present on the Web in the form of blogs, social media discussions, news, etc. The heterogeneous, unstructured, and scattered nature of the dark data poses significant challenges in harnessing it for improved decision making.
Kenome brings years of world-class research and industrial experience to help unlock the true value of unstructured dark data.
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Kenome was founded in late 2017 by Professor Partha Talukdar. Professor Talukdar is a faculty member in the Department of Computational and Data Sciences at the Indian Institute of Science (IISc), Bangalore (India), where he is also the founding director of the Machine and Language Learning (MALL) Lab. Professor Talukdar is one of the architects of the NELL system at CMU, USA.
The name Kenome is a play on the phrase knowledge genome. Just as genome encodes the genetic material in an organism, Kenome’s AI aims to capture and unify the knowledge in an enterprise and harness it for improved decision making.