Data Point No. 4: Review strategies for optimizing GPU utilization and performance. The computationally intensive nature of many AI/ML/DL applications make GPU-based servers a common choice.

Google has released a beta version of Simple ML, making ML functions possible in Google Sheets. Learn about its big data implications here.

Analyst Patrick Moorhead weighs in on IBM rolling out Power Systems customers using AI.

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Comparing Azure Machine Learning and Databricks for your data solutions? Explore our analysis to find the best fit for your needs.

HPC and AI Memory Considerations HPC processing requires hundreds of gigabytes to terabytes of memory needed to hold the enormous amounts of data that HPC, AI, ML, DL, Big Data, IoT and IIoT ...

Transfer learning and collective learning enable enterprises to build machine learning models using small data when big data isn't available.

This special report from ZDNet and TechRepublic contains case studies and advice for successful IoT deployments. Download the entire report as a free PDF ebook.