Re-posted from: http://juliacomputing.com/blog/2016/11/01/Julia-Day-NY.html
Julia Computing invites you to the first Julia Day in New York on November 30th, 2016. This event will introduce you to Julia, the easy-to-learn high-performance mathematical programming language that is taking the finance industry by storm.
Julia Day takes place on Wednesday, November 30th from 3.30 PM to 6.30 PM at Fitch Learning Center, 3rd Floor, 55 Broad St, New York, NY 10004. This will be followed by drinks, dinner and networking.
Come find out how quants, traders and data scientists from hedge funds, investment banks, and across financial services industry worldwide are using Julia to gain a mathematical computing advantage over their competitors by processing more data up to 1,000x faster than before. Also learn why Nobel Laureate Thomas J. Sargent calls Julia a ‘great tool’ for building high-dimensional macroeconomic models.
There will be product demos, benchmarks, customer stories and use cases in Finance and Insurance, especially around trading, risk analytics and asset management among others.
Please register below to attend. We look forward to seeing you in New York.
|Julia Computing – Company overview and vision||3:30 PM|
|Customer Speak – Insurance||3:45 PM|
|Julia Computing – Overview of Products||4:00 PM|
|Customer Speak – Hedge Fund||4:15 PM|
|Julia in Finance||4:30 PM|
|Customer Speak – Fintech||5:00 PM|
|JuliaBox – Scale Julia on the Cloud||5:15 PM|
|Customer Speak – Asset Management||5:30 PM|
|Getting started with JuliaPro||5:45 PM|
|Customer Speak||6:00 PM|
|Wrap up and concluding remarks||6:15 PM|
|Drinks, dinner and networking||6:30 PM|
Julia is the simplest, fastest and most powerful numerical computing language available today. Julia combines the functionality of quantitative environments such as Python, R, MATLAB, SAS, SPSS and Stata, with the speed of production programming languages like Java and C++ to solve big data and analytics problems. Julia delivers dramatic improvements in simplicity, speed, capacity, and productivity for data scientists, algorithmic traders, quants, scientists, and engineers who need to solve massive computational problems quickly and accurately.
Julia offers an unbeatable combination of simplicity and productivity with speed that is thousands of times faster than other mathematical, scientific and statistical computing languages.
Partners and users include: Intel, The Federal Reserve Bank of New York, Lincoln Laboratory (MIT), The Moore Foundation and a number of private sector finance and industry leaders, including several of the world’s leading hedge funds, investment banks, asset managers and insurers.
Julia was co-created by Prof. Alan Edelman (MIT), Dr. Viral Shah (UCSB), Dr. Jeff Bezanson (MIT, Harvard) and Stefan Karpinski (Harvard).
##About Julia Computing
Julia Computing was founded in 2013 to develop products around Julia such as Julia for Finance, which enables financial service companies to leverage the 1,000x improvement in speed and productivity that Julia provides for trading, risk analytics, asset management, macroeconomic modeling and other areas. Products of Julia Computing make Julia easy to develop, easy to deploy and easy to scale. The co-founders of Julia Computing include the four co-authors of the Julia computing language plus Deepak Vinchhi (IIT-Mumbai) and Keno Fischer (Harvard).