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Verne Global

AI and Deep Learning in Risk and Investment Management

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Discussion into possible use cases for deep learning within financial services, particularly in risk and investment management, as well as the challenges that arise from an infrastructure and data storage perspective.
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Technology and Business Strategy Innovation in Finance with AI and Deep Learning

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The Realization Group discuss the possible use cases of deep learning within financials services. Deep learning is increasingly being explored across multiple industries and geographies.
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Raising the Bar: Responding to the RegTech data management challenge

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In this article The Realization Group discusses the key challenges and considerations for banks and brokers as they upgrade their data management strategies.
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Video: Naturally Intelligent – Deploying AI systems into a live environment

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Artificial Intelligence in Practice - Deploying AI Systems into a Live Environment. What are some of the key considerations when deploying Artificial Intelligence and Machine Learning-based systems into a production environment?
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Video: Powering Up – Handling HPC to boost Alpha and Risk Management

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The complexities surrounding the Banking, Finance and Insurance sector today have led to a significant growth in the use of grid computing and high-performance computing (HPC) for computationally-intensive tasks. What are the key considerations that firms should take into account when putting together the necessary infrastructure to support their computationally-intensive needs?
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Powering Up: Handling high-performance computing to boost alpha and risk management

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The complexities surrounding the Banking, Finance and Insurance sector today have led to a significant growth in the use of grid computing and high-performance computing (HPC) for computationally-intensive tasks. These are many and varied, and include areas such as derivative pricing, risk analytics, quantitative modelling, portfolio optimisation, and bank stress testing.
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Video: Building the Future of Finance with AI and Machine Learning

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The use of Artificial Intelligence is becoming increasingly widespread in the financial services industry. Whether it’s in the research and development of trading strategies, analysis and management of risk, or assisting with regulatory and compliance functions, there are a growing number of use cases for AI and machine learning. What are the implications of this […]
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Building the Future of Finance with AI and Machine Learning

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In this article, Mike O’Hara, publisher of The Trading Mesh, examines the infrastructure needs for financial markets firms as use cases for artificial intelligence and machine learning expand, with John Denheen of Tyler Capital, KPMG’s Robert Mirsky, Trade Informatics’ Aaron Schweiger, Sybenetix’s Taras Chaban, Jan Machacek of Cake Solutions, Michael Cooper of BT Global Banking […]
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