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Building a vision for real-time artificial intelligence

CIO Business Intelligence

After walking his executive team through the data hops, flows, integrations, and processing across different ingestion software, databases, and analytical platforms, they were shocked by the complexity of their current data architecture and technology stack. Artificial Intelligence, IT Leadership, Machine Learning It isn’t easy.

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What is enterprise architecture? A framework for transformation

CIO Business Intelligence

Enterprise architecture definition Enterprise architecture (EA) is the practice of analyzing, designing, planning, and implementing enterprise analysis to successfully execute on business strategies. Making it easier to evaluate existing architecture against long-term goals.

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ASUS unveils powerful, cost-effective AI servers based on modular design

CIO Business Intelligence

For successful AI deployments, IT leaders not only need the latest GPU/CPU silicon, they also need artificial intelligence (AI) servers that establish a foundation. That architecture lets ASUS servers exploit the latest NVIDIA advances in GPUs, CPUs, NVME storage, and PCIe Gen5 interfaces.

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AI and automation will play an increasing role in technology

CIO Business Intelligence

It is clear that artificial intelligence, machine learning, and automation have been growing exponentially in use—across almost everything from smart consumer devices to robotics to cybersecurity to semiconductors. In 2023, there is no doubt that artificial intelligence and automation will permeate every aspect of our lives.

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6 key considerations for selecting an AI systems vendor

CIO Business Intelligence

Many IT leaders are responding to C-suite pressure for artificial intelligence (AI) capabilities by increasing the organization’s AI investment in 2024. To learn more, visit [link] Artificial Intelligence They’re finding that AI success is a complex task, and they need all they help they can get.

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Automation, AI, And Robotics Are Critical CIO Targets

Forrester IT

We find that, to stay ahead, CIOs, CTOs, CDOs, and other executives integrating leading-edge technologies into their companies’ operations and business models must turn their attention to automation technologies, including intelligent machines, robotic process automation (RPA) bots, artificial intelligence, and physical […].

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3 data security disciplines to drive AI innovation

CIO Business Intelligence

Unsurprisingly, the more data that is stored, accessed, and processed across different cloud architectures that typically also span different geographic jurisdictions, the more security and privacy risks arise. Securing from AI : Just like most new technologies, artificial intelligence is a double-edged sword.

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