Machine Learning Corporate Bond Start-up is Selected to Join Boston Data Accelerator
June 2, 2017 by Kristina FanBoston and New York, June 1, 2017 – FinTech Sandbox, one of the top accelerator programs that provides financial technology startups with free access to financial data and infrastructure, welcomed 7 Chord as a resident of its six-month program.read more
7 Chord Seamlessly Integrates Quantifi’s Advanced Model Library
February 14, 2017 by Quantifi MediaLondon and New York, February 14, 2017 – Quantifi, a provider of risk, analytics and trading solutions, today announced that 7 Chord has integrated its market leading model library for Pricing and analytics of cash and derivative credit instruments.read more
February 8, 2017 by Aparajita ChoudhuryData Scientist, rated as “The Sexiest Job of the 21st Century” by Harvard Business review, has become one of the most coveted job titles by many young professionals. However, the title of Data Engineer, albeit popular, does not allure to as many young computer science majors as the title “Data Scientist” does.
Data Engineers are the people who gather the data from various sources, create the data pipeline and store them in an optimized way, whereas Data Scientists are usually the people who consume this data to generate insights from them. Both these roles are like the two wheels of a bike, without one of them, the other cannot function.
Intelligence amplification (IA) refers to the effective use of a computer system that supplements and augments human thinking and analysis. IA is often contrasted with AI or Artificial Intelligence, the project of building a human-like intelligence in the form of an autonomous system such as a computer or robot.