UNLOCK THE TRUE POTENTIAL OF DATA AUTOMATION WITH AI
AI is essential to unlocking the full power of data automation across your organisation. The data challenges facing financial services are only going to grow in scope and complexity.
Forget about whether budgets can stretch to resource for this – the fact is the scale of data that needs processing exceeds the realms of human cognition.
We can see that already in the errors made during manual work. Yet firms are increasingly reliant on ‘Human APIs’ doing manual work around data to keep the lights on.
It’s not a good solution at the best of times, let alone at times such as the US move to T+1 settlement windows, where an entire day of trade processing time is lost. It’s just not possible to double your workforce in order to compensate for the fact your timeline just got halved.
And let’s be honest – manually processing data all day long isn’t an exciting or fulfilling job. Attrition rates for these types of role can be huge. Firms are increasingly recognising the need to attract and retain the best talent, but that won’t happen if the talent in question has to spend their days on manual data entry.
The pain of manual work is only going to increase: more data means more work, which means higher headcount and cost, which means greater risk.
Automating boring, repetitive, error prone work, on the other hand, creates a virtuous cycle – automation improves data, which generates better, faster, cleaner automation. It cuts risk and cost. It unlocks unprecedented scalability for your organisation, because computational power (especially when accessed through the cloud) is almost infinitely scalable. And the talent of the future wants to be working with game-changing technology, so the power to create automation themselves is an appealing career prospect.
AI gives you the chance to replace spiralling costs, risk and opacity with ever-increasing efficiency.
WHERE WE APPLY AI
AI is a powerful tool, but like any innovative new technology the hype around it exceeds its capabilities. Nothing kills trust and ruins the potential of a technology more than overpromising and under-delivering.
That’s why we’re targeted in where and how we apply AI. We make sure to focus on areas of data management where the technology can clearly make a huge difference, such as automating document processing.
There’s one other core principle we hold when it comes to applying AI to problems: we firmly believe in the role of ‘the human-in-the-loop’. AI is an incredibly powerful tool, but it’s vital for firms to be able to understand what is happening to their data and why.
This is especially true in highly regulated and audited industries like financial services. You must be able to explain why certain decisions were made.
For us, that requires two things: AI that doesn’t work in a black box, and a human to validate its proposals where the desired outcome is uncertain.