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A Golden Era of HPC in Government Meets Accelerating Demands

CIO Business Intelligence

In addition to quantitative ROI metrics, HPC research was also shown to save lives, lead to important public/private partnerships, and spur innovations. . 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. Government.

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NLP Isn’t Enough. Leading Financial Services Companies Are Now Moving to Conversational AI.

CIO Business Intelligence

Some conversational AI implementations rely heavily on ML tools that incorporate neural networks and deep learning techniques. Many of these more advanced chatbots run best on high-performance computing (HPC) clusters with dozens of Dell Technologies PowerEdge server nodes, NVIDIA GPUs, and fast storage. . IT Leadership

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

CIO Business Intelligence

Scaling out and developing large-scale systems : To meet demand, the HPC industry is developing and honing strategies to effectively scale and deploy large systems that are both efficient and reliable. Just starting out with analytics? Ready to evolve your analytics strategy or improve your data quality? IT Leadership.

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How Computer Vision is Revolutionizing the Manufacturing Supply Chain

CIO Business Intelligence

Business owners look at ROI, NPV and other metrics to justify the financials for doing a project or introducing a new product line. 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. Just starting out with analytics?

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Your 5-Step Journey from Analytics to AI

CIO Business Intelligence

Develop a strategy to liberate data . Think it through, end to end, from implementation feasibility to identifying the key performance indicators (KPIs) you’ll use to measure return on investment (ROI) and project success. Just starting out with analytics? Ready to evolve your analytics strategy or improve your data quality?

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