Analytics in the Cloud: Is Your Data Ready?

While on-premise analytics programs are more formalized, the agility of the cloud makes it the wild west where analysts face few barriers to analytic experiments. Getting value from cloud analytics requires a broader data strategy and data pipelines that embrace the desired agility, while blending the required processes for consistent SLAs. Watch this on-demand webinar with Ventana Research and Datameer to learn: Why and where it makes sense to embrace big data in the cloud.
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Spotlight

OTHER ON-DEMAND WEBINARS

Secrets from the inside: How MuleSoft IT uses Anypoint Platform

For fast-growing companies, it is difficult to build an IT integration system that meets the needs of today and the future. Faced with the same challenge of rapid growth at MuleSoft, we have deployed MuleSoft to decouple core systems and enable the automation of core business processes.
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Re-imagining Business with AI-enabled SaaS Solutions on Google Cloud

The past year saw both public and private sectors embracing digital transformation. The power of AI and the change it can bring about has indeed been a boon in these unprecedented times. Leading enterprises across industries quickly understood the need for change and adopted AI-enabled solutions to drive better and faster decision-making. This trend continued across sectors, from manufacturing to retail.
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7 Requirements of Monitoring Cloud Apps & Infrastructure

New Relic

The flexibility, scale, services, and pay-as-you-go pricing options provided by modern cloud platforms—Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform, and tools like Pivotal among them—have completely changed how you architect applications and deploy infrastructure. In order to effectively manage the dynamic natures of these cloud-based applications and infrastructure, the way you monitor—and the tools you use to do so—need to change, as well.
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Reduce Agent & Case Review Time by 90% Using AI

It’s been said that in support, a good employee experience equals a good customer experience. But how can you be sure your support professionals are performing at the top of their game, every time? Traditional quality monitoring methods are highly manual and arduous, and only allow managers to review a small sample of cases. Plus, by the time evaluations are performed, the context and ability to really learn is diminished.
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