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Top 5 Data + AI Predictions for Financial Services in 2024

Snowflake

The foundation for success is a data platform that allows flexible, cost-effective ways to access gen AI — whether organizations want to use off-the-shelf commercial and open-source large language models (LLMs), or fine-tune their own LLMs for more complex applications. Rinesh Patel, Snowflake’s Global Head of Financial Services 2.

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

Snowflake

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. Here’s how the right data strategy can help you get past the hazards and hurdles to implementing gen AI.

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Is Your Financial Services Organization Ready to Leverage Generative AI?

Snowflake

While the possibilities of gen AI and large language models (LLMs) are limitless, there are several data challenges and risks financial executives need to be aware of when implementing AI that generates original content. Access to high-quality source data, strong governance controls and robust security are paramount.

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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.

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Azure Data Engineer (DP-203) Certification Cost in 2023

Knowledge Hut

The Azure Data Engineer Certification test evaluates one's capacity for organizing and putting into practice data processing, security, and storage, as well as their capacity for keeping track of and maximizing data processing and storage.