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Real-time Data, Machine Learning, and Results: The Evidence Mounts

CIO Business Intelligence

From delightful consumer experiences to attacking fuel costs and carbon emissions in the global supply chain, real-time data and machine learning (ML) work together to power apps that change industries. Data architecture coherence. Putting data in the hands of the people that need it.

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IT budget shock: Global IT services firms continue to struggle

CIO Business Intelligence

The global IT services industry is at a significant crossroads, with the explosive growth of generative AI and deepening economic uncertainties reshaping its future. Although there are efforts to boost industries such as semiconductors, there is much uncertainty about when the impact may be seen.

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3 reasons why every real-time application needs AI

CIO Business Intelligence

The steady march toward every app doing some data-driven work on behalf of the customer in the very moment that it matters most—whether that’s a spot-on “next best action” recommendation or a delivery time guarantee—isn’t going to stop. Netflix uses session data to customize the artwork you see in real time.

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CDW to Acquire Sirius Computer Solutions for $2.5 billion

CDW Research Hub

Sirius’ services and solutions capabilities in key growth areas, including Hybrid Infrastructure, Security, Digital and Data Innovation, and Cloud and Managed Services, will enhance the breadth and depth of CDW’s services and solutions offerings. “As Sirius and CDW share common values and a performance-driven, customer-focused culture.

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What’s New and What’s Next in 2023 for HPC

CIO Business Intelligence

Cloud, sustainability, scale, and exponential data growth—these major factors that set the tone for high performance computing (HPC) in 2022 will also be key in driving innovation for 2023. As leaders in the HPC industry, we are worried about how to cool these data centers. Another big focus is on liquid cooling. [2]

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Towards optimal experimentation in online systems

The Unofficial Google Data Science Blog

the weight given to Likes in our video recommendation algorithm) while $Y$ is a vector of outcome measures such as different metrics of user experience (e.g., Crucially, it takes into account the uncertainty inherent in our experiments. Figure 2: Spreading measurements out makes estimates of model (slope of line) more accurate.

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12 Cloud Computing Risks & Challenges Businesses Are Facing In These Days

datapine

It provides better data storage, data security, flexibility, improved organizational visibility, smoother processes, extra data intelligence, increased collaboration between employees, and changes the workflow of small businesses and large enterprises to help them make better decisions while decreasing costs. Security issues.

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