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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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The steady modernisation of ERP systems, as they edge to the cloud and are complemented by new-generation customer software, was markedly evident this year. And blockchain and AI are making inroads. In this e-guide, Computer Weekly takes a look at the top 10 business applications of 2018.
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From natural language processing to automation, all organizations stand to gain from AI—specifically machine learning (ML). Read this white paper to learn how ML can help you reach business goals and KPIs, discover the requirements and risks of implementation, and take full advantage of the opportunities that surround this exciting technology.
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This article gets dangerously close to real artificial intelligence (AI). All intelligent agents need to have a basic ability to perceive their environment and some means of navigating and moving within the world around them-be it real or otherwise. Read on to learn more about AI.
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AI and ML projects are far different than app development, or any other IT project. For this reason, it’s essential that you understand the infrastructure requirements underpinning it. Download this expert guide to discover the unique ins and outs that are crucial to seeing AI and ML success in development, deployment, and operationalization.
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Highlighted in this custom white paper is a storage solution that offers the simplicity of NAS coupled with the scalability, performance, and simplified management that machine learning, AI, and analytics workloads require.
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This article begins a four part series that explores the following important AI concepts and how to optimize them to run on today’s cutting edge multi-core processors.
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Download this e-guide to learn how to best position your AI projects to take advantage of both edge and cloud environments and discover how to achieve success with your data science initiatives.
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Keeping pace with the demand for ne IT functionality can be next to impossible for many of today's IT organizations that lack the necessary time, budget, and skilled resources. Both IBM and Cisco offer integrated systems designed to alleviate these challenges, but the two products differ in important ways. Read this white paper to uncover them.
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Businesses today need to deploy new capabilities at rapid-fire pace, while also reducing costs and complexity. This means a new approach to applications management is in order, and integrated systems offer an innovative approach to managing new (and existing apps).
