New Relic shared a preview of its artificial intelligence (AI) technology, code-named “Project Seymour,” at the company’s FutureStack event in San Francisco.
Project Seymour is designed to deliver advanced AI and machine learning capabilities to help companies uncover the most interesting, most relevant, and most actionable insights to improve their customer experience, and the performance and availability of their digital initiatives.
“Our customers have increasingly complex systems and often struggle to understand all of the facets of what’s going on in their customer experience, in their applications, and in their infrastructure. Seymour is another manifestation of New Relic’s continued obsession to make it easy for our customers to understand everything going on in their digital business,” said Lew Cirne, CEO and founder, New Relic. “New Relic has a unique opportunity to leverage the power of AI because our cloud-based platform already analyzes billions of metrics for our customers every day. We simply do not believe you can get the same benefits from on-premise solutions because you wouldn’t have enough data to uncover the same meaningful insights.”
Project Seymour is designed to help companies see their digital businesses more clearly in the following ways:
- Discovery: Seymour’s personalized news feed can surface the trends and issues that users care about most, based on their role and permissions.
- Deep Diagnosis: Not only does Seymour highlight issues and trends, but it can also provide users with a diagnosis of the problem and recommend a solution. Rather than clicking through their complex environment to try to figure out why an app slowed down, Seymour can highlight why it has slowed down and suggest how to fix it, all in one place.
- Collaboration: Seymour lets users quickly share important information with other team members and discuss those issues right in the New Relic interface, or through integrations with leading chat tools, such as Slack. Conversations are stored and searchable so users can later look back to see how specific issues were handled.
- Learning: New Relic’s machine learning algorithms can learn what individual users care about most and surface interesting trends and issues. Users can give feedback on what is important, or not important, and the system is designed to get smarter through machine learning.
- Prediction: Seymour looks at the massive amount of data in New Relic’s cloud platform to help predict and prevent future issues.
Project Seymour is currently in development.
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