Forecasting Insurance Modeling People Analytics 
bridgei2i
MAY 26, 2020
In the post-COVID era, they can be empowered with a high standard of data and analytics sophistication to cope and thrive. By allowing that, they could have a steady demand forecast based on sensing algorithms and react faster to such events. To introduce him better, he has been a supply chain analytics professional for over 14 years.
bridgei2i
JUNE 2, 2020
Additionally, institutions are finding it difficult to forecast trends, as historical data isn’t relevant anymore. As past data isn’t relevant anymore, current models aren’t going to work. I can’t exactly forecast my losses, cross sell and growth hence becomes tougher decisions to make.
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bridgei2i
JULY 8, 2020
And if you’re a banker or an insurer, you’re probably busy figuring out how to measure these risks, mobilize these resources, and fund capital that’s going to provide strong growth. In the short run, this means they have to get their demand forecast right. Can we model the impact for such structural shocks?
bridgei2i
JUNE 30, 2020
The pre-COVID-19 forecasts are no longer kind of valid as the pandemic has entirely disrupted the market. I would say lastly, with the spread of this pandemic, companies are witnessing unavailability of the workforce and even those who have switched to remote working models, they are also facing the challenge. Thank you, Suvodip.
bridgei2i
JULY 28, 2020
The way an AI system will operate in terms of engaging our employment sector is first of all, we need people who can build the models, who would be the mathematicians, computer scientists, engineers. We need people who can test. Listen Now Insurance is among the most-affected industries of the novel Coronavirus.
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