Page 14 - Artificial intelligence

 Apache's Hadoop, a free, Java-based programming framework that supports the processing

of large data sets in a distributed computing environment.

 SUSE Enterprise Linux Server 11, the fastest available Power7 processor operating system.

 2,880 processor cores.
 15 terabytes (TB) of RAM.

 500 gigabytes (GB) of pre-processed information.

 IBM's DeepQA software, which is designed for information retrieval that incorporates natural
language processing (NLP) and machine learning.

Applications for Watson's underlying cognitive computing technology are almost endless. Because
the device can perform text mining and complex analytics on huge volumes of unstructured data, it
can support a search engine or an expert system with capabilities far superior to any previously
existing.

In May 2016, Baker Hostetler, an Ohio-based law firm, signed a contract for a legal expert system
based on Watson to work with its 50-person bankruptcy team. That system, called Ross, can mine
data from about a billion text documents, analyse the information and provide precise responses to
complicated questions in less than three seconds. Natural language processing allows the system to
translate legalese to respond to the lawyers' questions.

As Ross' creators add more legal modules, similar expert systems are transforming medical research.

Watson in healthcare

Healthcare was one of the first industries to which Watson technology was applied. The first
commercial implementation of Watson came in 2013 when the Memorial Sloan Kettering Cancer
Center began using the system to recommend treatment options for lung cancer patients to ensure
they received the right treatment while reducing costs. Since that time, providers such as Cleveland
Clinic, Maine Center for Cancer Medicine and Westmed Medical Group have also implemented
Watson tools.

IBM's Watson Health is changing patient care.

However, not every implementation has gone smoothly. The MD Anderson Cancer Centre in Houston
launched a project in 2013 to build a decision support system powered by Watson technology to help
doctors determine the best treatment options. But after spending more than $62 million on the
project over the course of four years, hospital administrators cancelled the project, saying it had
failed to meet its goals.

Healthcare remains a primary focal point for IBM as it tries to prove Watson technology, and the
company continues to forge partnerships with healthcare organizations. In May 2018, for example,
India's largest specialty healthcare systems, Apollo, agreed to adopt Watson for Oncology and
Watson for Genomics. The two IBM cognitive computing platforms will help doctors make decisions
for personalized cancer care.

ARTIFICIAL INTELLIGENCE – PREPARED BY BALAMURUGAN