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Top 5 Data + AI Predictions for Financial Services in 2024

Snowflake

Increasingly, financial institutions will monetize their data through apps and data marketplaces. But traditional data management systems struggle to store and process vast troves of unstructured data — ranging from emails and social media posts to scanned documents, video and audio recordings.

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

Snowflake

Gen AI can also analyze unstructured data sets, such as clinical notes, diagnostic imaging and recordings and provide evidence-based recommendations. An inconsistent data set introduces biases and inaccuracies, which can have profound consequences for clinicians or scientists using an AI model for patient health.

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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. Additionally, the use of synthetic data generated by AI can speed up stress testing and the evaluation and prediction of exposure risks, including those related to fluctuating interest rates and potential defaults.

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The Three Essentials to Get to Responsible AI

Snowflake

The foundation for the successful and responsible use of AI and gen AI must be based on data security, data diversity and organizational maturity. As Snowflake customers share their experiences, a few requirements for their data stand out: data security, data diversity and organizational maturity—including data literacy.

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New Survey Reveals Healthcare Interoperability Challenges Across the Industry

Snowflake

For clinicians, it may mean the ability to easily and quickly share unstructured data, such as x-ray images, while to another provider it might mean ensuring optimal patient care. But perspectives about data sharing across the industry are changing, driven in large part by the recent pandemic.

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5 Generative AI Use Cases Companies Can Implement Today

Towards Data Science

Given LLMs’ capacity to understand and extract insights from unstructured data, businesses are finding value in summarizing, analyzing, searching, and surfacing insights from large amounts of internal information. Secure the right team and resources Creating an AI pilot project takes time and resources.

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5 Generative AI Use Cases Companies Can Implement Today

Monte Carlo

Given LLMs’ capacity to understand and extract insights from unstructured data, businesses are finding value in summarizing, analyzing, searching, and surfacing insights from large amounts of internal information. Secure the right team and resources Creating an AI pilot project takes time and resources.