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Pedro Silva, Senior Product Manager at Credit Karma, discusses how the company harnesses the power of Anodot’s AI analytics and anomaly detection. It’s helped them to easily track data, get real-time alerts and altogether promote fair and healthy business monitoring.
Pedro Silva is the Senior Product Manager behind the Recommendation System at Credit Karma, in San Francisco, California.
Anodot leads in Autonomous Business Monitoring, offering real-time incident detection and innovative cloud cost management solutions with a primary focus on partnerships and MSP collaboration. Our machine learning platform not only identifies business incidents promptly but also optimizes cloud resources, reducing waste. By reducing alert noise by up to 95 percent and slashing time to detection by as much as 80 percent, Anodot has helped customers recover millions in time and revenue.
In a recent article published by Economic Times on Dec 29, 2023, titled “Banks Told to Explore Dashboard with Real-Time Info on Services,” the Reserve Bank of India (RBI) has urged banks to embrace real-time transparency through the creation of an online dashboard. Anodot, a leader in business monitoring, is at the forefront of transforming […]
Companies that use artificial intelligence and machine learning to independently monitor databases and the data that’s being stored are reaping huge wins in saved time and costs. And it’s typically the DataOps teams that can take this project on to success.
In the complex and dynamic realm of data analytics, real-time anomalies serve as insights to issues a business faces. A pervasive and enduring conundrum persists: accurately discerning between anomalies of significant importance and those of lesser consequence. This distinction is a nontrivial task as not all anomalies bear the same weight. Certain deviations signal crucial […]
