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Redefining enterprise transformation in the age of intelligent ecosystems

CIO Business Intelligence

What we consistently overlooked were the direct and indirect consequences of disruption to business continuity, the challenges of acquisitions and divestitures, the demands of integration and interoperability for large enterprises and, most of all, the unimpressive track record for most enterprise transformation efforts.

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Fujitsu: Providing the Cloud Services and Solutions Resilient and Adaptable Teams Need

CIO Business Intelligence

These include the automotive, financial services, health care, law enforcement, manufacturing, and retail sectors. We design, develop, implement, manage and optimize the systems businesses of all kinds need to address their operational, application, and infrastructure needs.”.

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An Intelligent Future for Manufacturing

CIO Business Intelligence

In the automotive sector for example, the advent of autonomous vehicles has resulted in burgeoning demand for computing power, cloud storage and network bandwidth. Another leading manufacturer, BYD , first entered the automotive market in 2003. One such automaker is China’s First Automobile Works (FAW).

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How Nvidia beat everyone else in the AI race

Vox

Today, Nvidia’s four main markets are gaming, professional visualization (like 3D design), data centers, and the automotive industry, as it provides chips that train self-driving technology. That acquisition was pretty clearly intended to get control over a software architecture that most of the industry relied on,” says Peinert.

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2025 Cybersecurity Predictions: Not Getting Easier; But There is Hope

SecureWorld News

Mo Wehbi, VP, Information Security & PMO, Penske Automotive Group: The Good and the Bad "The Good: Widespread Adoption of AI and Machine Learning for Threat Detection: AI will become more sophisticated and integral in identifying threats in real-time, reducing response times and mitigating risks faster than ever before.

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