Autonomous Analytics uses machine learning to understand normal patterns within time series data, detect anomalies and continuously forecast future values. Our alerts operate in real time and in context – correlating the incident to similar anomalies, relevant factors and the potential root cause. Detect and diagnose high-impact problems faster than is humanly possible. Watch this 2-minute video to learn more.
Find out why fintech leaders like Payoneer, Tinkoff Bank, Credit Karma and SplitIt are using Anodot to detect and resolve operational incidents before they impact revenue and customers. The digital transformation and decentralization of the fintech segment has resulted in increasing complexities in payment transactions, more third party applications and a higher volume and velocity […]
Anodot was one of 35 cutting-edge tech companies chosen to demo their software at the 2022 Finovate conference. Finovate conferences showcase banking and financial technology demos for senior executives in the industry. Presenting on behalf of Anodot was Yariv Zur, VP of Product at Anodot, and fintech executive Liron Diamant. Zur demonstrated how Anodot helps […]
CSPs aiming to achieve zero-touch networks are looking for monitoring solutions that go beyond autonomous detection to autonomous remediation. Ira Cohen, Co-Founder and Chief Data Science at Anodot spoke with Ken Wieland, Contributing Editor at Light Reading, and explained the principles behind autonomous remediation and the building blocks and capabilities required to achieve it.
