Skillsoft
With changing technologies all around us it can be challenging to know where to start when planning your organizations digital transformation strategy. One thing that remains clear across industries though is the need to have the right culture and behaviors within an organization to successfully take on this transformation.
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Businesses depend on timely data insights to stay competitive. But DataOps teams typically have to spend 80% of their time on AI/ML and data science initiatives just getting data ready for use. Discover how to flip the 80/20 rule with “Accelerate AI/ML and Data Science Projects with AI-Powered Modern Data Prep.”
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eG Innovations
In today’s distributed application ecosystems, with various inter-dependencies and dynamic infrastructures, it is extremely challenging to detect and resolve application failures and performance slowdowns. This is especially true in a Microsoft .NET application stack. Developers, IT Operations Staffs and Site Reliability Engineers often get involved in long war room sessions to isolate the root cause of poor customer experience in the digital business service.
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NVIDIA
With more data available than ever before for data scientists, it’s crucial to have the right software and hardware solutions to get faster time to insight. The combination of NVIDIA’s CUDA-X AI GPU-accelerated software, including RAPIDS, and the new NVIDIA-powered data science workstations serve as an integrated hardware and software solution for data science that allows you to bypass traditional data center setups to get faster performance and real-world benefits.
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