Skills Gap, Data Issues the Largest Obstacles in AI Adoption

Panelists at the recent WatersTechnology Innovation Summit highlight two of the main challenges to greater use of AI-based systems.

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A combination of the right datasets and people skills make the path to implementing more sophisticated artificial intelligence systems much smoother.

When it comes to artificial intelligence (AI) or machine learning, there aren’t many capital markets firms that are not investing in one form of the technology or another, chasing increased efficiency through automation and the reduction of manual processes that AI can potentially deliver, not to mention improvements in client delivery.

However, the path to successful AI is not an easy one, and panelists at this year’s WatersTechnology Innovation Summit cited a gap in skill levels and

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A tech revolution in an old-school industry: FX

FX is in a state of transition, as asset managers and financial firms explore modernizing their operating processes. But manual processes persist. MillTechFX’s Eric Huttman makes the case for doubling down on new technology and embracing automation to increase operational efficiency in FX.

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