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Top Tools for Your Cloud Data Security Stack in 2023

Smart Data Collective

Cloud data security is a crucial aspect of safeguarding sensitive data stored in cloud environments from unauthorized access, theft, and other security threats. This entails implementing a wide range of robust security measures that can protect cloud infrastructure, applications, and data from advanced cyber threats.

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How Money Laundering Concerns Require New AI Monitoring Solutions

Smart Data Collective

trillion’s worth of proceeds from illegal activities are funneled through legitimate banking systems every single year, coming out clean on the other end. Here’s how these solutions can help protect your company: Transaction Monitoring, Defined. What AI Features Should Be Included in an AML Transaction Monitoring System?

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Managed File Transfer in Banking: A Complete Guide

Astera

As information security has become an increasingly paramount concern as critical data, safeguarding sensitive data has become imperative. Understanding Managed File Transfer (MFT) MFT is a comprehensive solution that enables secure and reliable file transfers between internal and external systems.

Banking 52
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Delivering Data Security Across Your Organization

Sisense

If you just felt your heartbeat quicken thinking about all the data your company produces, ingests, and connects to every day, then you won’t like this next one: What are you doing to keep that data safe? Data security is one of the defining issues of the age of AI and Big Data. Security Starts with People.

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Automated Credit Risk Assessment: How ETL Is Unlocking Better Investments

Astera

End-to-End Credit Risk Assessment Process The credit risk assessment is a lengthy process where banks receives hundreds of loan applications daily from various channels, such as online forms, email, phone, and walk-in customers. The data pipeline is prone to errors and failures, such as network issues, server downtime, data corruption, etc.

Banking 52
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A Financial Revolution: J.P. Morgan’s Development of a ChatGPT-like AI for Investors

Analysts Corner

Morgan, the largest bank in the U.S., The AI could monitor financial markets continuously, providing investors with real-time updates, trend analysis, and predictions. Continuous testing, rigorous data security measures, and adherence to ethical AI guidelines will be essential. A prime example is J.P.

Finance 130
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CDC for ETL Process Optimization in Finance Industry

Astera

From managing customer transactions and financial records to dealing with regulatory requirements and risk management, data plays a crucial role in every aspect of banking operations. This data is categorized as big data, a term denoting “large, diverse sets of information that grow at ever-increasing rates.”

Finance 52