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How intelligent document processing automates content-intensive processes

CIO

Intelligent document processing (IDP) is changing the dynamic of a longstanding enterprise content management problem: dealing with unstructured content. Faster and more accurate processing with IDP IDP systems, which use artificial intelligence technology such as large language models and natural language processing, change the equation.

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

CIO

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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6 key considerations for selecting an AI systems vendor

CIO

Many IT leaders are responding to C-suite pressure for artificial intelligence (AI) capabilities by increasing the organization’s AI investment in 2024. Consider capacity, speed, and scalability. To learn more, visit [link] Artificial Intelligence But it can simplify achieving your AI goals.

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Transform the modern data center: From today to the future

CIO

These include the accelerating transition to cloud platforms, the growth of hybrid and remote work models, and the rapid adoption of artificial intelligence (AI) and machine learning (ML) technologies across every industry. A seismic shift is underway in the evolution of the data center, driven by a variety of converging factors.

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The critical role of a hybrid cloud architecture in ensuring regulatory compliance in financial services

Cloudera

However, six months into its implementation, regulators discovered that the AI model had been trained on biased historical data and was inadvertently discriminating against certain demographic groups, leading to unfair lending practices. Let’s review some of the more critical regulations and the impact of a hybrid cloud architecture.

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CIOs take note: Platform engineering teams are the future core of IT orgs

CIO

Those highly scalable platforms are typically designed to optimize developer productivity, leverage economies of scale to lower costs, improve reliability, and accelerate software delivery. They may also ensure consistency in terms of processes, architecture, security, and technical governance.

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Accelerating generative AI requires the right storage

CIO

Organizations need massive amounts of data to build and train generative AI models. Unstructured data needs for generative AI Generative AI architecture and storage solutions are a textbook case of “what got you here won’t get you there.” Advances in hardware boost the performance and scalability of generative AI systems.