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Re-thinking The Insurance Industry In Real-Time To Cope With Pandemic-scale Disruption

Cloudera

The Insurance industry is in uncharted waters and COVID-19 has taken us where no algorithm has gone before. Today’s models, norms, and averages are being re-written on the fly, with insurers forced to cope with the inevitable conflict between old standards and the new normal. . Insurers are thinking on their feet.

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How Healthcare and Life Sciences Can Unlock the Potential of Generative AI

Snowflake

Generative AI uses neural networks and deep learning algorithms from LLMs to identify patterns in existing data to generate original content. But while the potential is theoretically limitless, there are a number of data challenges and risks HCLS executives need to be aware of when using AI that can create new content.

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Is Your Financial Services Organization Ready to Leverage Generative AI?

Snowflake

Insurance agents can use LLMs to analyze administrative data and accelerate claims processing. Market intelligence and portfolio management: Gen AI can help deduce market sentiment and financial trends by analyzing unstructured data such as filings, reports and news articles.

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7 Data Science Applications in Finance For Maximizing ROI

ProjectPro

Top 7 Data Science Applications in Finance Financial technology, or FinTech, refers to the use of technology by providers of financial services to optimize the usage and delivery of their services to customers. Algorithmic Trading Algorithmic trading is an exciting real-world application of data science in finance.

Finance 52
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Importance of Data Science in 2024 [A Simple Guide]

Knowledge Hut

What i s Data Science and Why is it Important? Data Science is the study of extracting insights from massive amounts of data using various scientific approaches, processes and algorithms. The development of big data, data analysis, and quantitative statistics has given rise to the term "data science."

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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.

Finance 93
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Top Big Data Companies you need to Know in 2024

Knowledge Hut

Importance of Big Data Companies Big Data is intricate and can be challenging to access and manage because data often arrives quickly in ever-increasing amounts. Both structured and unstructured data may be present in this data. Microsoft's Big Data strategy is broad and expanding rapidly.