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Today, most banks, insurance companies, and other kinds of financial services firms have deployed natural language processing (NLP) tools to address some of their customer service needs. billion, and for insurance, the savings will approach $1.3 Dataintegration can also be challenging and should be planned for early in the project. .
Citing an example, Pramanik says that if the discharge process for hospital patients holding a third-party health insurance, which typically takes five to eight hours, can be brought down to one hour with the help of technology intervention, a new patient can be admitted and given that bed faster, leading to substantial business gain.
Here are some of them: Marketing data: This type of data includes data generated from market segmentation, prospect targeting, prospect contact lists, web traffic data, website log data, etc. handle large data volumes and velocity by easily processing up to 100GB or larger files. Artificial Intelligence.
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