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Perspective In Patterns
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Smart machines are amplifying our cognitive strengths, helping us to get the right information at the right time.
On the limitations of machines…
We are starting to realise how complex tasks like driving a car can be, and the risks to human safety should we not get it right. It’s much easier for computers to beat us at chess or Go, but not so easy to drive a car. A car should not confuse a real stop board and someone on the sidewalk carrying a stop sign.
Just think, you can show a picture of two cats to a toddler for the infant child to then recognise when they see a cat in the future. Machines need hundreds of thousands of cat images for the same outcome. So, there are some things that machines are not able to do in a smarter, safer or faster way than humans.
On smart machines and their applications…
Then there is the interaction with customers and employees, helping to free up our time and energy for more high-level tasks.At Ossiam, we use machine learning for RFP questionnaires, for instance, where there might be lots of similar responses to a set list of questions.
On combining machines with ESG investing…
Then there is its processing power. We might be looking at 600 different ESG indicator – machines enable us to efficiently extract and analyse information from vast ESG databases. It’s flexible too, so it quickly adapts to changes around a companies’ ESG policies, or if there’s a change of regulation.
On the issues with a black box model…
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