Do you want to work in the field of Cognitive Computing and don’t know which company to look for? Digital Reasoning can be one of the best options for you. Digital Reasoning recently visited NYU Center for Data Science and explained the need for data scientists in the modern world of Cognitive Computing. The information session started with the company introduction and their relationship with other financial companies. Matthew Russell, Chief Technology Officer, explained that the company is not a typical business intelligence shop, but instead they work to solve the hardest problems particularly related to human language communication data. He described the Digital Reasoning product, Synthesys, which takes human language data as an input and performs back level searches, instead of traditional keyword searches.
Why Cognitive Computing?
Cognitive computing can be used to solve the world’s toughest problems by fixing the knowledge gap between enterprise data and legacy analytics capabilities. It makes new classes of ambiguous and uncertain problems computable. As per Mr. Russell’s estimation in the next 5 to 10 years, cognitive computing systems will become ubiquitous and almost all devices will run on natural language interfaces. Data scientists are demanding such cognitive computing systems, as data science is a combination of three major domains: Math & Statistics knowledge, Substantive expertise and hacking skills which utilize cognitive computing.
Matthew also stated that the company works with Thorn:Digital Defenders of Children, an international anti-human trafficking organization that addresses the sexual exploitation of children. The organization applies business intelligence knowledge to internet advertisements in order to identify fake or potentially misleading ads targeted towards children. This topic grabbed attention of the attendees – of whom one shared that Prof. Juliana Freire (a CDS faculty member) is involved in a similar project.
For more information about Digital Reasoning, you may refer the following link:
Story by Ketan Barve, master’s degree candidate and writer for the Center for Data Science.