How New York Life deploys hybrid AI to ease underwriting
By Matt Ashare, contributing writer for Ciodive.com
Underwriting is a numbers game. Insurers build statistical models, collect data and do their best to predict outcomes. It’s data science applied to the vagaries of the real world, to a noisy system rife with uncertainty and risk.
Scientists propose machine learning approach to solve the world’s food insecurity issue
By Central European University, contributing writers for Phys.org
Researchers of a recent paper published by Nature Food suggest a method which they claim will allow decision-makers to make more timely and informed decisions on policies and programs oriented towards the fight against hunger.
When the rise of AI meets the ease of no-code
By Nirman Dave, contributing writer for Forbes.com
Not too long ago, professional web designers wouldn’t dream of using a no-code website builder—if you didn’t personally write each line of HTML and CSS, could you really call yourself a real designer? Today, many professional web designers have enthusiastically embraced no-code solutions, using them to get more done in less time without sacrificing quality.
How to cut through the noise with decision intelligence
By Peter Bailis, contributing writer for Thenewstack.io
We have a data distraction problem. Companies have access to more data than ever before, yet it’s nearly impossible to focus through the noise and use the data to its full potential. While the data industry’s transformation over the past decade is indisputable, the way organizations make decisions with data has barely improved.
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