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With Pavan Arora (Chief Data Officer, IBM Watson), Asita Anche (Head of Data Science, Barclays), Adil Abdulai (Chief Science Officer, Protg Partners), Afsheen Afshar (Chief Data Science Officer, JP Morgan Chase), Micheal Beal (CEO, Data Capital Mgmt), Sangeeta Chakraborty (Chief Customer Officer, Ayasdi), Sylvain Champonnois (Dir. Equity, BlackRock).
Wed, Dec 06, 2017 @ 08:00 AM   $2500   National Museum Of American Indian, One Bowling Green
 
   
 
 
              

      
 
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An abundance of cheap & powerful computing capacity is bringing artificial intelligence to bear on an ocean of data, across a range of industrial applications.

Complex mathematical modelling has always been part of the data-driven financial world, but today professional money managers are exploring a new range of techniques including machine learning, deep learning & neural networks. They have also become familiar with the relatively new discipline of data science - really an intersection of software engineering, statistical modelling, research analytics, data mining & data warehousing.

Newsweek's AI & Data Science in Capital Markets inaugural event in London provided participants with a clear view of what exactly these new tools are, & how they can capture value in the financial realm. This forthcoming event in New York will likewise bring together the best minds in quantitative finance & data science to discuss how advanced computing, when applied to vast & varied datasets, can help predict the price of financial instruments.

This will involve an exploration of new & exciting data sources currently being swooped upon by hedge funds & asset managers seeking an alpha edge. For example, in London we looked at cube satellite imagery, which can provide a cheap & accurate picture of commercially significant activity anywhere on the planet; automatic identification system (AIS) data, which map the whereabouts of all vessels on the ocean via inbuilt transponders; IoT data on farming yields; heterogeneous shopping data - the list was long.

The process of capturing, cleaning & formatting these large & sometimes noisy datasets is examined in detail, both from the proprietary perspective of large financial players, & also how this is done by third party vendors.

Portfolio management enhancements & risk management using machine learning will also be discussed, as will the regulatory response to algorithms that adapt to changes in market conditions; building trust in the industry & wider public, rather than the putative black box'.

The event will also consider the extent to which advancements in AI happening in areas such as computer vision, voice recognition & self-driving cars can usefully be applied to finance. And at a higher level there will be discussions about human capital & the impact machines might have on key roles within finance such as discretionary traders & research analysts.

Newsweek's second AI & Data Science in Capital Markets conference in NYC will also see the introduction of a session of pre-event seminars & primers, which will give participants classroom time with leading data scientists from both the industry & academia.
 
 
 
 
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