by Angela Guess
A recent press release reports, “Columbus Collaboratory, an advanced analytics and cybersecurity company, today announced the release of CognizeR, an open-source R extension that can enhance and simplify how more than two million data scientists using R can access and build with IBM Watson. Now, data scientists can bypass having to code the calls to the cognitive APIs in another language, such as Java or Python, and tap directly into Watson APIs without leaving their own native development environment. With the release of CognizeR, Columbus Collaboratory is focused on advancing the adoption of cognitive computing within its founding companies, as well as within the data scientist community worldwide. CognizeR offers easier access to a variety of Watson’s artificial intelligence services that can enhance the performance of predictive models developed in R, an open-source language widely used by data scientists for statistical and analytics applications.”
The release continues, “Today’s world is immersed in a deluge of data. According to IDC, an estimated 1.7 megabytes of new information will be created every second for every human in the world by 2020 — however, less than one percent is analyzed and used for insights. This data lives in unstructured forms like chats, emails, social media, images and documents. CognizeR allows data scientists to easily tap into Watson services to unlock this data and find new insights that can improve their predictive models for numerous industry applications — from finance to insurance to economics. Watson services available through CognizeR include Watson Language Translation, Personality Insights, Tone Analyzer, Speech to Text, Text to Speech and Visual Recognition. As data scientists begin to build with Watson, IBM will collect their feedback to help inform additional cognitive services that will be made available. CognizeR is available for download at Columbus Collaboratory’s GitHub repository (http://www.github.com/ColumbusCollaboratory/cognizeR).”
Read more at PRWeb.
Photo credit: Columbus Collaboratory