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Accelerate hybrid cloud transformation through IBM Cloud for Financial Service Validation Program

IBM Big Data Hub

The cloud represents a strategic tool to enable digital transformation for financial institutions As the banking and other regulated industry continues to shift toward a digital-first approach, financial entities are eager to use the benefits of digital disruption. Most of these new technologies are born-in-cloud.

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GUEST ESSAY: Why internal IT teams are ill-equipped to adequately address cyber risks

The Last Watchdog

Related: The case for augmented reality training Because of this, cybersecurity investments and regulatory oversight are increasing at an astounding rate , especially for those in the financial services industry, bringing an overwhelming feeling to chief compliance officers without dedicated security teams.

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IBM Cloud releases 2023 IBM Cloud for Financial Services Agreed-Upon Procedures (AUP) Report

IBM Big Data Hub

The review report demonstrates to its clients, partners and other interested parties that IBM Cloud services have implemented and adhere to the technical, administrative and physical control requirements of IBM Cloud Framework for Financial Services. What is the IBM Cloud Framework for Financial Services?

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Financial Services Organizations Need to Adapt their Security Practices to the Shifting Environment

Thales Cloud Protection & Licensing

Financial Services Organizations Need to Adapt their Security Practices to the Shifting Environment. Even “traditional banks” seek to drive more revenue from digital products, personalized services and experiences. At the same time, financial services organizations need to adapt to a shifting global environment.

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Banking on mainframe-led digital transformation for financial services

IBM Big Data Hub

Financial services companies are considered institutions because they manage and move the core aspects of our global economic system. And the beating heart of financial institutions is the IBM mainframe. Couldn’t execs have run better analyses to spot risks within the data?

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How AI is helping companies meet sustainability goals

IBM Big Data Hub

AI tools like ChatGPT are grabbing headlines, but other AI techniques and tools specifically designed for enterprises are quietly helping companies meet their sustainability goals. AI solutions work by collecting asset performance data and feeding it into machine learning models, which can predict asset health and risk of failure.

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Building for operational resilience in the age of AI and hybrid cloud

IBM Big Data Hub

Organizations in the financial services, healthcare and other regulated sectors must place an even greater focus on managing risk—not only to meet compliance requirements, but also to maintain customer confidence and trust. Similarly, in the U.S.

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