The future of GenAI and its adoption throughout the trade lifecycle : Navigating challenges, discerning opportunities and optimising value with AI
Abstract
Organisations that have integrated AI solutioning and established mature information management strategy are nearly twice as likely to succeed with artificial intelligence (AI) than organisations that have not.1 Given that generative AI (GenAI) is reshaping capital markets with immediate gains in automation and analytics, those who can demonstrate responsible AI use and strong data protection measures may gain a competitive edge in industries where trust and reliability are paramount. As such, there is a drastic push for the adoption of AI technologies within the trade life cycle. While there are significant opportunities that can arise from adopting AI-related technologies, emerging data privacy directives and bespoke AI regulatory frameworks make implementation difficult to navigate. This paper serves to provide its readers with the knowledge and suite of tools requisite for navigating challenges concerning AI integration, organisation and effectuation for a responsible AI experience. This article is also included in The Business & Management Collection which can be accessed at https://hstalks.com/business/.
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Author's Biography
Stephane Ritz is the Global ‘T+1’ (Accelerated Settlement Cycle Transition) Lead at Capco with over 25 years’ successful accomplishments in the administration and management of professional services for the capital markets, banking, finance and investment industries. Stephane specialises in leading large-scale, complex business transformations across a broad spectrum of strategic initiatives ranging from assessing growth opportunities, improving operations and technology and more effectively managing risk. Stephane is viewed as a financial services expert delivering operational/technical solutions across functions including settlement, clearing, collateral management, liquidity, risk, compliance, data and managed services.
