Videos & Podcasts
2 min read
Anodot for Partner Monitoring: Monitor Third-Party Tools At Scale
Learn how you can scale the way you monitor and analyze third-party tools and systems to find and fix mission-critical issues immediately.
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Videos & Podcasts
2 min read
Anodot: 2-Minute Overview of Autonomous Business Monitoring
Watch how Anodot uses machine learning to find and correlate business anomalies, providing the kind of real-time alerts that reduce time to detection by as much as 80 percent.
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Videos & Podcasts
2 min read
Anodot for eCommerce: Catching Revenue Leaks and Hidden Opportunities In Real Time
Anodot is a proactive way to run your eCommerce business, used by the world’s leading data-driven companies.
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Videos & Podcasts
42 min read
Deep Learning for Time Series Data (O'Reilly AI Conference)
Arun Kejariwal and Ira Cohen share a novel two-step approach for building more reliable prediction models by integrating anomalies in them.
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Videos & Podcasts
18 min read
BDA Europe: How Do You Monitor 100% of Your Data While Asleep?
Anodot VP Product and Marketing Amit Levi discusses the next wave of data analytics and how AI/ML is allowing companies to scale their event monitoring and anomaly detection.
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Videos & Podcasts
3 min read
Anodot Sits With AWS to Discuss Importance of User Experience in AI
Getting the algorithms right is only part of what you need for successful AI implementation.
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Videos & Podcasts
4 min read
Adtech Startup Browsi Credits Anodot with Faster Time to Detection & Time to Resolution
Browsi manages half a billion events - DAILY. In the fast-paced world of adtech, even small glitches can quickly cost tens of thousands of dollars.
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Videos & Podcasts
41 min read
Anodot Hosts Industry Leaders for Discussion About Present & Future of AI in Business
Data officers from Hulu, TripAdvisor and Aldo Group joined Anodot to discuss utilizing AI/ML for business, the future of AI, and practical tips for implementation.
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Videos & Podcasts
3 min read
Anodot for Gaming: How Anodot Spots Usage Incidents First
This is the story of a frustrated data scientist at a gaming company, who spent his days frequently checking dashboards, hoping nothing would go wrong. Then, he found Anodot.
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