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By using an AI architecture fueled by HPE Greenlake hardware solutions, Garrigues brought 70 million case files out of boxes and into light. Explore this case study to discover how this legal firm deploys AI in multiple use cases, from auditing millions of client files to stabilizing budget forecasting.
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While RPA can capture data and manipulate apps, the more complex and advanced tasks were previously out of reach. That is where AI comes into play. Open up this white paper to take a closer look at the challenges and benefits of applying AI to automation, as well as suggestions for how to get started bringing the two together in your organization.
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RPA is impacting the way business manage finances because it increases efficiency, reduces the need to outsource (and the security risks created by that), and can be easily deployed on top of your existing programs. Read on to learn about RPA and how your business can use it to improve your company’s financial department.
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Check out this white paper to read about the 5 challenges of modern IT operations and discover the key features and capabilities of service-centric IT operations management from OpsRamp.
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Access this custom white paper to examine 3 benefits of automating accounts payable and learn 7 key questions to ask about a future-proofed solution.
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The insurance industry is rapidly transforming; with the advent of AI and machine learning, much of the risk assessment and day-to-day business process can be automated. Read this white paper to learn how TIBCO’s data science and AI platform can integrate with a variety of existing features improve your data science initiatives.
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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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The start of the new year is cause for some celebration and some reflection. Inside this New Relic guide, explore what’s changed—and what’s to come—for three major markets: the developer landscape, AIOps technology, and new DevOps practices. Discover the top 21 tech predictions for 2021 here.
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Listed in this white paper are 10 questions folks should ask when they are beginning new AI projects, such as: What data is required to achieve our goal? How will we remove bias? How often will we fine-tune AI models? Download your copy to see the rest.
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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.
