This is the 8th consecutive year that this event has been held in London. It is expected to be a great success with 150+ attendees from 25 different countries and counting. Gautam Mitra, Xiang Yu and Christina Erlwein-Sayer from OptiRisk are all giving presentations, along with Peter Hafez, RavenPack; Pierce Crosby, StockTwits; James Luke, IBM; Richard Peterson, MarketPsych Data; Sanjiv Das, Santa Clara University; Nishant Chandra, AIG Science; Ivailo Dimov, Bloomberg; Dan Joldzic, Alexandria; Technology; Christopher Kantos, Northfield; Jordan Mizrahi, FIRST TO INVEST; Andreas Zagos, Intracom GmbH.
AI, Machine Learning and Sentiment Analysis Applied to – Financial Markets – Retail and Consumer Markets, 13 – 14 March 2018, Bangalore, India
For the second time, OptiRisk are travelling to Bangalore, India for UNICOM’s event. This conference expands the focus of AI and Sentiment Analysis to include Retail and Consumer Markets as well as Financial Markets. OptiRisk will be joined by many international and local experts including Krishma Singla, IBM, Nishant Chandra, AIG, Vijay Srinivas Agneeswaran, SapientRazorFish and Prof. Ashok Banerjee, IIM Calcutta.
As part of our growing interest in the Asian markets, OptiRisk has agreed to speak at this conference: AI and Sentiment Analysis in Finance, Hong Kong. The keynote speakers at this event are Prof. Lei Chen, Hong Kong University of Science and Technology (HKUST) and Johnson Poh, Singapore Management University. Joining them on stage will be Wendy Cheong, Moody’s Investors Service Hong Kong; Mohammad Yousuf Hussain, HSBC and Satoshi Shizume, Financial Technology Research Institute (Japan).
Optimisation technologies have become key tools in making intelligent business decisions and are often adopted in the finance industry. This week-long interactive workshop is entirely presented by OptiRisk experts. Participants learn how to formulate and develop their own optimisation models and how to use state-of-the-art commercial solvers. They will acquire a good knowledge of how to embed optimisation models into applications.