End the data protection firefighting: an IT panel discusses proactive strategies

If you’ve ever felt alone with your data protection frustrations, this webcast will prove you’re not ― and that there are some simple, real-world strategies that’ll make your job a whole lot more enjoyable. We’ve put together a panel of IT professionals from a range of industries ― including a network engineer, an IT director and a CTO ― to share with you what worked for them, and what didn’t, when it comes to data protection.
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Spotlight

OTHER ON-DEMAND WEBINARS

Unified Cloud Infrastructure Management with 5nine

5nine

By 2020, the cloud-enabling technology market will approach $40 billion. Meanwhile, 60% of all workloads will be deployed to the cloud, compared to only 45% in 2018. What will be your organization's primary approach to hybrid cloud? Join 5nine's Chief Product Officer, Vince Arneja and learn why Microsoft Cloud plays a mission-critical role in today's business and how the right unified management and security solution can assist in building a robust unified cloud management strategy: Centralize control of large, multitenant hybrid cloud environments.
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The Future of Intelligent Content Management, Semantic AI, and Content Impact

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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How AI is Transforming the Insurance Industry and Bridging the Talent Gap

Watch this on-demand webcast to learn about the practical applications of AI in your insurance operations, including:
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Machine Learning Model Deployment for the Enterprise

Deployment is a major challenge facing enterprise success in AI. In our last webinar, we discussed why many machine learning models don’t make it into production. On premise solutions face specific difficulties that we will discuss in this webinar. We will discuss best practices of enterprise machine learning, and how to get more of your models to production. While there are many solutions that help streamline the ML deployment process for cloud enterprises, few solutions exist for on premise enterprises. Join Aaron Schneider as he discusses ways to quickly deploy on your own servers or hardware at scale or on any cloud service.
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