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AI in Banking: 5 Applications of Artificial Intelligence in Banking

Edureka

The banking industry is at the forefront of integrating AI, one of its many transformational uses. Today, we explore the top five ground-breaking uses of artificial intelligence in banking as we delve into the realm of money. This enables banks to quickly investigate and take the necessary action.

Banking 40
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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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How Financial Services Companies Optimize Quantitative Research with the Snowflake Data Cloud 

Snowflake

In a recent Nasdaq survey , more than half (60%) of dissatisfied quantitative portfolio managers complained about an inability to quickly test new data sets. Their inability to access and onboard new data, such as ESG, sentiment, or cryptocurrency data, lengthens data pipelines and time to market.

Cloud 52
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Top 13 Career Options after BBA [2024]

Knowledge Hut

It enhances the students' abilities in Administration, Banking, Finance, Marketing , or Sales. The MBA course allows you to upskill your leadership roles in various sectors, including Banking, Finances, Sales, and many more. PG Diploma in Banking A PG Diploma in Banking can prepare students for a wide range of banking careers.

Banking 52
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The Future of Artificial Intelligence in Finance in India

U-Next

It encompasses capital markets, money, investments, banking, leverage or debt, credit, and the development and regulation of financial institutions. AI assesses unstructured data about potentially dangerous actions or activities in an organization’s operations. Personalized Banking . Portfolio Development .

Finance 40
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Solutions Architect Job Roles in 2024 [Career Options]

Knowledge Hut

Responsibilities: Define data architecture strategies and roadmaps to support business objectives and data initiatives. Design data models, schemas, and storage solutions for structured and unstructured data. Evaluate and recommend data management tools, database technologies, and analytics platforms.

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How JPMorgan uses Hadoop to leverage Big Data Analytics?

ProjectPro

Large commercial banks like JPMorgan have millions of customers but can now operate effectively-thanks to big data analytics leveraged on increasing number of unstructured and structured data sets using the open source framework - Hadoop. JP Morgan has massive amounts of data on what its customers spend and earn.

Hadoop 52