The lock-step growth of digitalisation, risk and regulation within asset finance: Where do you stand with the Digital Operational Resilience Act (‘DORA’)?
Innovation – for example, to improve efficiency and / or customer experience – is driving…
The statistics are from an Applied AI Workshop/Training we ran in March 2023 with 15 Senior Managers from 8 renowned Asset Finance Companies. We don’t claim the statistics are representative for the entire Asset Finance Industry but as an interesting snapshot from insight.
In a nutshell:
None of the participants see that their companies already have AI supported/based processes/products in production but 75% are evaluating it in trial- or proof of concept projects.
The “Willingness” to apply AI scored very high with a median of 8 (scale from 0-10) while the “Capability” to do so is lacking behind that high ambition. (Median score of 5)
Within the missing capabilities the “Lack of skilled people”, which scored 39% of the votes, pointed this out as the worst bottleneck for further AI adoption.
An immediate response to this could naturally be to hire more Data Scientists and Data/AI Engineers, but before leaping to this conclusion, we would like to direct your thoughts to 2 other areas we’ve seen as being critical in driving effective AI led outcomes, namely:
Please share with us your thoughts. Who (CEO/CTO/CFO …) in your company is driving your AI adoption and where you are up to.
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Author @Heiko Eich firstname.lastname@example.org
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