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Use Data Enrichment to Supercharge AI

Precisely

We work with organizations around the globe that have diverse needs but can only achieve their objectives with expertly curated data sets containing thousands of different attributes. We assign a PreciselyID to every address in our database, linking each location to our portfolio’s vast array of data.

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How AI Used in Fraud Detection? Benefits, Techniques, Use cases

Knowledge Hut

In essence, it's the use of AI anomaly detection algorithms, often covered in an Artificial Intelligence course for beginners , to analyze and identify suspicious activities or transactions. This data may contain transaction histories, client information, and past fraud incidents in the context of fraud detection.

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Data Science in FinTech: Roles, Use Cases, and Benefits

Knowledge Hut

Over time, FinTech has evolved to disrupt almost all aspects of financial services, including payments, investments, consumer finance, insurance, securities settlement, cryptocurrencies, etc. FinTech companies depend heavily on FinTech data science to simplify financial decision-making and deliver cutting-edge solutions.

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Data Science Learning Path [Beginners Roadmap]

Knowledge Hut

How would one know what to sell and to which customers, based on data? This is where Data Science comes into the picture. Data Science is a field that uses scientific methods, algorithms, and processes to extract useful insights and knowledge from noisy data.

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Data Science for Finance: Benefits, Applications, Examples

Knowledge Hut

Data science is the field of study that deals with a huge volume of data using modern technologically driven tools and techniques to find some sort of pattern and derive meaningful information out of it that eventually helps in business and financial decisions. Under this certification, you cover Python/R, statistics, and tableau.

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Real-World Use Cases of Big Data That Drive Business Success

Knowledge Hut

Compliance and Regulatory Reporting: Big data analytics helps banks comply with regulations by analyzing enormous volumes of data to spot any abnormalities or instances of non-compliance, ensuring that regulatory obligations are met. In insurance, big data use cases help with claim management and processing.

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Document Classification With Machine Learning: Computer Vision, OCR, NLP, and Other Techniques

AltexSoft

An example of document structure in healthcare insurance. Another example is the insurance industry that processes tens of thousands of claims daily. It requires extracting raw data from claims automatically and applying NLP for analysis. It makes data much easier for the algorithm to digest during the training process.