Artificial Inteligence Compliance Insurance Machine Learning 
CIO
MAY 10, 2024
The bill defines consequential decision as being any decision “that has a material legal or similarly significant effect on the provision or denial to any consumer,” which includes educational enrollment, employment or employment opportunity, financial or lending service, healthcare services, housing, insurance, or a legal service.
Exadel
JULY 6, 2022
The banking landscape is constantly changing, and the application of machine learning in banking is arguably still in its early stages. Machine learning solutions are already rooted in the finance and banking industry. Machine learning solutions are already rooted in the finance and banking industry.
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Coforge
AUGUST 27, 2020
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KitelyTech
AUGUST 26, 2023
Machine Learning continues to drive major advancements in automated systems in every industry, including finance. Banks face a lot of potential fraud, which is why they have large departments and government agencies dedicated to fighting fraud. That’s why machine learning is being used to make fraud detection more efficient.
Altexsoft
SEPTEMBER 27, 2020
Have you ever tried to check your insurance claim status? While some insurance carriers have made significant modifications courtesy of disruptive digitalization (we’ve already discussed this topic in our whitepaper), most companies trail behind. As a result, the large industry – which in the US accounts for $1.3
Hacker Earth Developers Blog
MAY 22, 2020
In our third episode of Breaking 404 , we caught up with Srivatsan Ramanujam, Director of Software Engineering: Machine Learning, Salesforce to discuss everything about Machine Learning and the best practices for ML engineers to excel in their careers. Again, focus on Data Science and Machine Learning.
The Accidental Successful CIO
SEPTEMBER 21, 2022
It turns out that it’s hard to find the right people to do machine learning Image Credit: deepak pal. The good news is that there is new technology that is available to allow this to be done: machine learning. The bad news is that this machine learning stuff requires smart people to implement it.
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