Remove Compliance Remove Innovation Remove Machine Learning Remove Scalability
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6 lessons to learn from the 60-year history of the modern mainframe

CIO

These colossal machines underpinned critical functions, from financial transactions to scientific simulations, showcasing unparalleled reliability, scalability, and performance. Dispelling misconceptions, mainframes are not relics of the past but beacons of innovation.

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How Machine Learning is Used in Finance and Banking

Exadel

The banking landscape is constantly changing, and the application of machine learning in banking is arguably still in its early stages. Machine learning solutions are already rooted in the finance and banking industry. Machine learning solutions are already rooted in the finance and banking industry.

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Pursuing A New Future of Innovation Through Digital Banking Strategy

CIO

At the centre of these changes are disruptive technologies like artificial intelligence, cloud computing, and machine learning, which are paving the way for new business models. Refining the balancing act of innovation and risk. However, this is also dependent on institutions meeting their regulatory compliance.

Banking 241
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Customer centricity: How Mashreq Bank is placing its customers at the forefront of its operations.

CIO

The company aims to provide customers with a banking journey that is not just efficient and secure, but also innovative, engaging, and memorable. As we expand our retail and corporate presence across the Middle East, Asia, and Africa, data residency compliance is a key focus.

Banking 290
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Pursuing A New Future of Innovation Through Digital Banking Strategy

CIO

At the centre of these changes are disruptive technologies like artificial intelligence, cloud computing, and machine learning, which are paving the way for new business models. Refining the balancing act of innovation and risk. However, this is also dependent on institutions meeting their regulatory compliance.

Banking 236
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The impact of AI on edge computing

CIO

AI, including Generative AI (GenAI), has emerged as a transformative technology, revolutionizing how machines learn, create, and adapt. Edge processing keeps sensitive data local, addressing privacy concerns and ensuring compliance with data protection regulations. billion in 2027 with a compound annual growth rate (CAGR) of 86.1%

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Low-Code Development: Create Applications Without Programming Knowledge

Apiumhub

The Rise of Low-Code Development The growing popularity of low-code platforms is driven by several factors: Demand for Rapid Application Development (RAD) : Businesses are under constant pressure to innovate and deliver solutions faster. Security and Compliance Security is a critical concern for any application.