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Become More Data-Driven by Evolving Analytics Workloads

CIO Business Intelligence

It forms the basis for making informed decisions around product innovation, dynamic pricing, market expansion, and supply chain optimization. Pairing the CDP with industry-leading Dell infrastructure addresses analytics use cases across many different industries. Just starting out with analytics? It’s the “new oil.”

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The Reason Many AI and Analytics Projects Fail—and How to Make Sure Yours Doesn’t

CIO Business Intelligence

Though experts agree on the difficulty of deploying new platforms across an enterprise, there are options for optimizing the value of AI and analytics projects. [2] To create a productive, cost-effective analytics strategy that gets results, you need high performance hardware that’s optimized to work with the software you use.

Analytics 137
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A Golden Era of HPC in Government Meets Accelerating Demands

CIO Business Intelligence

Real-time big data analytics, deep learning, and modeling and simulation are newer uses of HPC that governments are embracing for a variety of applications. Big data analytics is being used to uncover crimes. Deep learning, together with machine learning, is able to detect cyber threats faster and more efficiently. .

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Smart Cities Increase Efficiency, Safety and Sustainability

CIO Business Intelligence

And it saves money for the City services as garbage collection rounds can be optimized. For example, smart waste is an essential part of the IoT-UK program, backed by a £40m investment from the British government to increase the adoption of high-quality IoT technologies across the private and the public sectors.

IoT 145
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GREEN500 Supercomputer Powering Robot Scientists and Transformational Machine Learning

CIO Business Intelligence

To create a productive, cost-effective analytics strategy that gets results, you need high performance hardware that’s optimized to work with the software you use. Modern data analytics spans a range of technologies, from dedicated analytics platforms and databases to deep learning and artificial intelligence (AI).

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How MLOps Is Helping Overcome Machine Learning’s Biggest Challenges

CIO Business Intelligence

To create a productive, cost-effective analytics strategy that gets results, you need high performance hardware that’s optimized to work with the software you use. Modern data analytics spans a range of technologies, from dedicated analytics platforms and databases to deep learning and artificial intelligence (AI).

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4 Tips for Processing Real-Time Data

CIO Business Intelligence

Thus, the storage architecture can be optimized for performance and scale. With the right technology, businesses can overcome today’s real-time data challenges to improve their overall agility, efficiency, and profitability. Just starting out with analytics? Ready to evolve your analytics strategy or improve your data quality?