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Access to Web content in the workplace such - as social networking, streaming media and more - has become an increasing issue. This resource explores the risks and challenges of personal Web use as well as presents a business case for enabling appropriate use. View now to uncover key strategies that will help you protect your business.
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With millions of users, Facebook offers significant opportunities for organizations to conduct research, execute targeted marketing, increase awareness and more. But enabling the use of Facebook introduces a number of security risks. In this paper, uncover how to reap the benefits of social networking while doing it in a safe and secure manner.
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This resource reveals the major issues plaguing BYOD – from data loss and viruses to policy enforcement and lack of IT insight – and outlines ten strategic points you should include in your BYOD planning process to ensure success.
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See how Asia-Pacific financial services leaders are combining operational agility with AI-powered productivity while bolstering security and compliance.
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Read this paper for data-driven strategies to help your organization close talent gaps and boost employee satisfaction that will increase employee retention.
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It’s time to move IT beyond the traditional “better, faster, cheaper — pick any two” conundrum. With the help of AI, virtual agents, and machine learning, organizations can tap into these technological innovations to improve operations across all three variables. Read this ebook to learn how.
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Read this paper to learn how in order to be a successful security leader you must be intent on building a proactive, agile, and cyber-resilient organization to help understand how your adversaries operate which will help mitigate risk.
WHITE PAPER:
Supermicro has partnered with Habana Labs and Intel® to deliver a high performance and cost-effective system for AI training coupled with the 3rd Gen Intel® Xeon® Scalable Processor. Explore this white paper for an overview of the Supermicro X12 Gaudi AI Training system to enable high-performance computing for deep learning workloads.