The Future of Intelligent Content Management, Semantic AI, and Content Impact

The Future of Intelligent Content Management, Semantic AI
Disparate digital experiences (DX) are one of the biggest challenges businesses face today. Poorly thought out or siloed content can not only prevent enterprises from creating the best digital experiences for their customers, but can ultimately also lead a business to fail to reach its goals.
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Spotlight

OTHER ON-DEMAND WEBINARS

The Evolution of “AI Thinking”: From AI Models to AI Systems

Analytics india mag

The need to start thinking about an “AI Ecosystem” not as a “Collection of Models” but as a “System of Models” that feed into each other. Tie this to problems in EdTech, Fleet Management, Driverless cars, and Enterprise applications.
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5 Top Test Automation Challenges & How to Solve Them

Perfecto

Automation is a key requirement in DevOps. Yet, the 2017 World Quality Report has shown that only 16% of tests are automated. Whether you're in dev, test or operations, this webinar will help you solve the 5 key challenges teams face in scaling up their test automation. You will learn how to: Overcome tight release schedule challenges.
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Simplifying Hyper-V Backups with the Public Cloud

Druva

Hyper-V has been widely adopted over the last several years and now accounts for more than 40% of the market share in the virtualization space according to IDC. Although virtualized solutions such as Hyper-V have optimized the data center, the complexity of—and necessity for—effective data management and backup is more critical than ever. Watch this on-demand webinar, where we discuss how to leverage the public cloud to provide effective availability within Microsoft Hyper-V environments.
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Trusted AI: Confidence Across the Machine Learning Lifecycle through AI Cloud

Whether it be ethical issues or failure to operate resiliently and deliver ROI, it is crucial that AI systems be governed to minimize risk and earn our trust. With the increasing availability and use of transformative technology, the stakes are higher than ever before. As AI technology matures, so too should our AI lifecycle management practices. Forethought and understanding of the dimensions of trust will not only help mitigate AI system risks, but also reflect your organization’s values and goals.
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