Numba allows data scientists to write Python that is compiled into the GPU’s native CUDA, making it easy to extend the capabilities of RAPIDS.

Get an overview of the features in this talk from the Wolfram Finance Platform Virtual ... Michael Aichinger and Sascha Kratky give an overview of the UnRisk-Q Instrument Builder and explain the advantages of using Mathematica to develop powerful financial software solutions in this presentation from ... Yu-Sung Chang shows examples of how to use Mathematica's financial visualization functions to create interactive interfaces during Mathematica Experts Live: Dynamic Interfaces Q&A 2012. Copyright © 2020 NVIDIA Corporation.

This video features visual examples of the platform's key features, including real-time data, high-performance computation, and multichannel deployment.

We will talk about how these advances can be used to provide new information for risk analytics, and how firms are starting to leverage these models to improve the customer service experience.

Learn how to use Mathematica's new range of financial functions to construct simple programs that accomplish complex tasks in this course from the Wolfram Mathematica Virtual Conference 2011.

This video gives a quick introduction to Wolfram Finance Platform's BloombergLink, with a special focus on how to request market data. Conrad Wolfram discusses the need for putting finance on a modern platform and explains why Wolfram's principles make Wolfram Finance Platform the ultimate computation environment for finance. NVIDIA demonstrated its computing platform’s capability using STAC-A3, the financial services industry benchmark suite for backtesting trading algorithms to determine how strategies would have performed on historical data. This presentation from the Wolfram Finance Platform Virtual Workshop 2012 covers CUDAFinancialDerivative and its extensions that will include all the options handled by FinancialDerivative.

John Ashley currently leads the Global Financial Services Industry Strategy team at NVIDIA. Wolfram Finance Platform offers an integrated solution for the finance industry.

Statistical methods provide a powerful tool for analyzing and drawing conclusions from financial data. For this you'll need to use a supported browser and upgrade to the latest version.

Exciting progress in AI for natural language has been made in the past year. Central infrastructure for Wolfram's cloud products & services. John Ashley, NVIDIA’s senior CUDA consultant, explains how CUDA programming is changing financial computation at the “Optimizing Financial Modeling with Mathematica” 2011 seminar. This video is unavailable. NVIDIA websites use cookies to deliver and improve the website experience. RAPIDS and Numba software make it possible for data scientists and traders to replicate this performance without needing in-depth knowledge of GPU programming. The preeminent environment for any technical workflows. John has 3 jobs listed on their profile. While the underlying algorithm is simple, testing many variants in parallel was designed to stress systems in realistic ways. John indique 1 poste sur son profil. Hedge funds — there are more than 10,000 of them — will be able to design more sophisticated models, stress test them harder, and still backtest them in just hours instead of days. Wolfram Finance Platform provides cohesive and comprehensive random processes functionality. This video gives a quick introduction to Wolfram Finance Platform's BloombergLink, with a special focus on the subscriptions feature. Report Generation allows you to create documents quickly and easily using Wolfram Finance Platform documents. Instant deployment across cloud, desktop, mobile, and more. Michael Kelly of Wolfram Research gives an overview of the financial functionality in Mathematica in this video from the "Optimizing Financial Modeling with Mathematica" 2011 seminar.

The benchmark results were achieved by harnessing the parallel processing power of 16 NVIDIA V100 GPUs in a DGX-2 server and Python, which uses NVIDIA CUDA-X AI software along with NVIDIA RAPIDS and Numba machine learning software. Learn about its new features in this talk from the Wolfram Finance Platform Virtual Seminar. John Ashley currently leads the Global Financial Services Industry Strategy team at NVIDIA.

This is a ... See a number of data import topics and how Mathematica handles large datasets in real-world applications in this talk from the Wolfram Technology Conference 2011. And quants, data scientists and traders will be able to build smarter algorithms, get them into production more quickly and save millions on hardware. This Wolfram Finance Platform Virtual Workshop 2012 course demonstrates an integrated workflow starting with financial data to analysis with built-in finance and statistical functions to the creation of financial reports.

Using an NVIDIA DGX-2 system running accelerated Python libraries, NVIDIA shattered several previous STAC-A3 benchmark results, in one case running 20 million simulations on a basket of 50 instruments in the prescribed 60-minute test period versus the previous record of 3,200 simulations. Revolutionary knowledge-based programming language. Knowledge-based broadly deployed natural language. John has 6 jobs listed on their profile. His team focuses on global trends and directions in accelerated compute and AI for the entire sector – from hedge funds, fintech, banking, and insurance. Découvrez le profil de John Ashley sur LinkedIn, la plus grande communauté professionnelle au monde.

He holds a doctorate in Computational Sciences and Informatics, and both BS and MS degrees in Electrical Engineering. He holds a US Patent in predictive analytics. Get an overview of the capabilities in this talk from the Wolfram Finance Platform Virtual Seminar. This is the STAC-A3.β1.SWEEP.MAX60 benchmark, see the official STAC Report for details. According to Michel Debiche, a former Wall Street quant who is now STAC’s director of analytics research, “The ability to run many simulations on a given set of historical data is often important to trading and investment firms.

Consultez le profil complet sur LinkedIn et découvrez les relations de John, ainsi que des emplois dans des entreprises similaires. We use cookies and similar technologies to recognize your visits and preferences, as well as to measure the effectiveness of campaigns and analyze traffic. View John Ashley’s profile on LinkedIn, the world's largest professional community.

May 13, 2019 by John Ashley. NVIDIA’s AI platform is delivering more than 6,000x acceleration for running an algorithm that the hedge fund industry uses to benchmark backtesting of trading strategies. We want you to have the best possible experience. This video gives a quick introduction to Wolfram Finance Platform's BloombergLink, with a special focus on the Market Data Explorer feature.