“These were often well staffed, strong engineering teams, and yet an in-house monitoring project required unique expertise that was outside of their core. “Most teams we met already had plans to introduce monitoring for their AI systems, and many already had in-house projects trying to build it themselves,” said Oren. The message his company continues to hear from enterprises is that they need help monitoring their complex and hard-to-manage AI systems, he said.
“Ultimately, business leaders want to know if their AI investments are successful as measured by the business KPIs (key performance indicators), and the data teams need to correlate efficiently and accurately between changes in the business KPIs and changes in the data and models within the AI environment,” Yotam Oren, the CEO and co-founder of Mona Labs, told EnterpriseAI. “That is why AI monitoring is a foundational need for companies scaling their AI investments.” The system detects anomalies and reduces alert noise by correlating related alerts and incidents for users, the companies said. The combined services automatically generate dashboards containing Mona insights about the production AI systems that are being monitored, while also allowing users to create custom Mona alerts to New Relic’s Alerts and Applied Intelligence centralized notification system. The partnership is aimed at bridging the gap between data scientists and production teams so they can monitor and refine their machine learning operations, including data corrections, model retraining and other mitigations.īy integrating Mona services with New Relic’s platform, data be analyzed across the entire system to enable site reliability engineering team members and DevOps teams to better understand the performance of their data, according to the vendors. 25, means that enterprises will be able to explore production machine learning data which is created by Mona Labs’ monitoring and take actions on it within the New Relic One platform.Īs more enterprises increase their use of AI in production, they will need these kinds of observability and monitoring services so they can ensure that their systems are working properly, according to the companies.Įnterprises that already use New Relic will be able to view dashboards and see insights from Mona Labs that can quickly detect anomalies about data integrity issues and model performance issues within their production AI systems, significantly reducing business risks, the partners said. The new partnership, which was announced Oct.
New relic business intelligence applications software#
New Relic’s cloud-based software stack observability platform is being combined with AI monitoring from Mona Labs to help enterprises better monitor, analyze and troubleshoot their growing production AI workloads.
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