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Transform the modern data center: From today to the future

CIO

A seismic shift is underway in the evolution of the data center, driven by a variety of converging factors. 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.

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Pliops lands $100M for chips that accelerate analytics in data centers

TechCrunch

Analyzing data generated within the enterprise — for example, sales and purchasing data — can lead to insights that improve operations. But some organizations are struggling to process, store and use their vast amounts of data efficiently. ” Pliops isn’t the first to market with a processor for data analytics.

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Flexential – Providing Enterprises with the Interconnected Data Center and Hybrid Cloud Solutions They Need

CIO

Enterprises today require the robust networks and infrastructure required to effectively manage and protect an ever-increasing volume of data. Industry-leading SLAs also guarantee that applications and the data within and used by them – the very lifeblood of the enterprise – is always accessible and protected.

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Choosing the right GPU for AI, machine learning, and more

InfoWorld

While they bring new benefits to many different use cases, the number of GPU models available from each manufacturer can overwhelm developers working with machine learning workloads. Further, if considering an on-premises deployment, they must account for the costs associated with data center management.

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How AI Is Used in Data Center Physical Security Today

CTOvision

Read Maria Korolov explain how artificial intelligence and machine learning are used by data centers for physical security on Data Center Knowledge: Machine learning and artificial intelligence are touted as […].

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Epicor announces Grow portfolio to weave AI into ERP

CIO

“We know the keys to realizing the full power of AI revolve around two important things: applying AI to a well-defined, practical business issue, and leveraging high quality data,” said Epicor chief product and technology officer Vaibhav Vohra, in a statement. Epicor is putting its R&D efforts into AI and data management.

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Machine Learning Project Checklist

DataRobot

Download the Machine Learning Project Checklist. Planning Machine Learning Projects. Machine learning and AI empower organizations to analyze data, discover insights, and drive decision making from troves of data. More organizations are investing in machine learning than ever before.