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8 pressing needs for CIOs in 2024

CIO Business Intelligence

In a world underpinned by change, it remains constant that digital transformation must be a core organizational competency,” she says. β€œIn In a world underpinned by change, it remains constant that digital transformation must be a core organizational competency,” she says.

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5 Ways Your Retail Banks Can Use Data to Better Serve Digital Natives

Smart Data Collective

There is no disputing the fact that data technology has changed the future of the financial industry. One of the sectors most impacted by big data has been banking. Big data is even more important to the banking sector as more of their services become digitalized. billion by 2026. billion by 2026.

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Cloud Analytics Powered by FinOps

Cloudera

Cloud transformation is ranked as the cornerstone of innovation and digitalization. The legacy IT infrastructure to run the business operations β€” mainly data centers β€” has a deadline to shift to cloud-based services. However, the reality is that the β€œmove to cloud” is a turbulent flight for many of them. Why FinOps?

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American Airlines takes flight with analytics transformation

CIO Business Intelligence

American Airlines, the world’s largest airline, is turning to data and analytics to minimize disruptions and streamline operations with the aim of giving travelers a smoother experience. This was a huge change for our teams. Taking to the cloud. Touchless, seamless, stressless. Leibman, who stepped down on Sept.

Analytics 145
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How Indian CIOs are staying ahead of changing demand for skills

CIO Business Intelligence

For Giridhar Yasa, chief technology officer at Indian online financing company Lendingkart, it starts with reading. β€œWe That is what drives the people that I’m going to hire.”. In a world obsessed with change, though, some are taking a different approach. We follow industry developments quite closely and do our own research.

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The most valuable AI use cases for business

IBM Big Data Hub

When thinking of artificial intelligence (AI) use cases, the question might be asked: What won’t AI be able to do? The easy answer is mostly manual labor, although the day might come when much of what is now manual labor will be accomplished by robotic devices controlled by AI. We’re all amazed by what AI can do.

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AI and Analytics Importance in Automotive Industry

Smart Data Collective

Big data is fundamentally altering the future of the automotive industry in wondrous ways. billion on big data solutions in 2025. The sector’s investment in data-driven technology is hardly a surprise. Additionally, many processes can be automated, especially aftersales and finance.