Artificial Intelligence promises to change how businesses operate and individuals work. Yet, the practical applications of AI in Asset Management span a spectrum – from incremental enhancements to fundamental changes.
New research from Global Fund Media, in partnership with Linedata, outlines the state of AI adoption in Asset Management Operations. About 100 senior operational leaders at hedge funds, private equity, and institutional managers took part in the survey. Their responses and commentary from AI and industry experts are available in this exclusive report.
Are you keeping pace?
Among the report's findings:
70% of respondents already use some form of AI or Generative AI
37% intended to deploy AI use cases at scale in the next 12 months
46% percent rely entirely on in-house AI expertise
Document summarization, data extraction, and knowledge base/Q&As are the leading AI/GenAI use cases
Establishing and maintaining data quality are the biggest impediments to successful AI implementation
Artificial Decisive strides in AI’s progress and enthusiasm around Generative AI have stoked the buzz around this technology’s transformative potential. Download this report to understand the current landscape better and successfully master the challenges you’ll face along the way.
What our experts say
“Both traditional AI and Generative AI offer a wide array of applications that are poised to fundamentally change the operation of buy-side firms in the future."
Jamil Jiva, Global Head of Asset Management, Linedata
“The one thing for firms to remember is to embark on data aggregation journeys with clear intention.”
Ashmita Gupta, Global Head of Analytics, Linedata
“Will we get to a point where AI will be delivering futuristic, high-impact solutions? Absolutely.”
Gary Brackenridge, Global Head of Strategy, Linedata