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With the news of Pacbase's 2015 retirement, many organizations must find an alternative application strategy. This resource outlines your options in the post-Pacbase world, and offers advice and recommendations for realizing continued application 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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This paper explores Super iPaaS, a unified, AI-enabled, enterprise integration platform that transcends geographies, clouds, hybrid environments, integration patterns, and more. Learn how Super iPaaS can use AI to help to control the integration chaos.
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The most effective way to thrive through unprecedented change is to get ahead of it. Read this e-book to learn how you can transform your digital operations and maximize ROI by enabling effective project and portfolio management on a single platform.
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Businesses have embraced more hybrid ways of working, with employees working in remote locations. Learn how to keep them connected, secure, and productive.
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The main aim of any software modernization project is to help companies create new business value. However, the best investment can be working with what you already have. This guide makes the case for legacy software modernization. Get the details here.
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ServiceNow® works with organizations around the world to help them effectively manage enterprise risk and compliance. This paper identifies three key pillars for success that allow those organizations to respond proactively and consistently to the full spectrum of risks they face.
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Read this paper to learn the steps to take to build a successful integrated risk management program which will lower costs and increase productivity.
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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.
