Model Performance Monitoring for Quant Trading Systems
If you're ready to take your monitoring practices to the next level and ensure your models perform at their peak—without the chaos—this is the webinar for you. [INTRO VIDEO]
Avoid reactive firefighting: Learn why basic monitoring practices fail to catch critical issues in time, causing unnecessary fire drills.
Solve the noise problem: Explore how deep monitoring can drown you in alerts—and how to refine it for laser-focused insights.
Gain actionable insights: Discover how to proactively identify the shifts in data feeds, model bugs, and other hidden factors that threaten your models’ performance.
Learn from real-world examples: Hear how other data science teams have mastered the monitoring challenge, leading to enhanced performance and operational efficiency.
Episode 123: AI Monitoring, Product-Oriented Data Science, and the Israeli ML Community with Itai Bar Sinai
Our wide-ranging conversation touches on his education in Math and Computer Science; his early career as a software engineer at Google; his time as an AI consultant; his current journey with Mona Labs building an end-to-end AI monitoring platform; perspectives on monitoring strategy and product-oriented data science; lessons learned finding engineering talent and design partners; the thriving ML community in Israel; and much more.
The People behind the Data | Yotam Oren from Mona Labs
Yotam Oren spent his entire career around big data, but when he looks back, it’s all about the people—the friends, the family, and when it comes to his startup, Mona Labs, the team. In fact, it was the opportunity to build a great team that most attracted Yotam to founding a technology startup.
It began with a phone call from a friend to help solve an embarrassing problem at Google—one of their predictive models had gone from triumph to face plant. Yotam realized you still need human hands to make AI smart.
On this edition of UpTech Report, Yotam talks about the path that led him to start his own company, and shares his own philosophy on how he brought that great team together.
About Mona
Mona is a proactive model performance insights platform, designed to ensure your models perform at their peak. Mona offers a continuous production feedback loop designed to meet the needs of your specific use case. With its advanced capability to detect anomalies in granular segments, Mona easily distinguishes between performance signals and noise, delivering actionable insights so you can resolve issues before they impact the business.
MONA’S INSIGHTS ENGINE
Ultimate granularity (without the noise)
Anomaly Detection: Unparalleled depth to pinpoint anomalous segments in high-dimension datasets
Noise Reduction: Common Thread AnalysisTMreduces noise by correlating related anomalies and identifying the root cause of the issue.
Mona uses state-of-the-art open source technology alongside home-grown IP for big data tech, conducive to ingestion of large quantities of data.
ADAPTIVE SCALABILITY
Mona leverages experience in complex business and government environments, specializing in processing and analyzing high-dimensional datasets.
DESIGNED FOR DIMENSIONALITY
Mona balances monitoring depth and resource requirements by using smart sampling both on the client and server side, with full user control of the depth and frequency of analyses.
BUILT-IN COST CONTROLS
Mona ensures that your monitoring setup adheres to the highest enterprise standards, capable of being deployed on-premise (even air-gapped) or in the cloud.
ENTERPRISE-LEVEL SECURITY
“Mona is already helping us get dramatically more comfortable with our AI deployments. We performed a thorough market evaluation, and Mona has unique capabilities which made it the best fit for our needs.”
Roye Wietzfeld, Head of Digital R&D at Israeli Ministry of Defense
“With Mona, we are able to proactively identify issues in production before our customers are negatively impacted.”
Ohad Parush, EVP of R&D at Gong.io
“K Health is improving healthcare by connecting data points from millions of medical records to help doctors quickly diagnose and treat what’s wrong. Mona makes sure we’re aware of any changes or trends in our data, and keeps our AI running smoothly.”
Tom Haramaty, Algorithms Team Lead at K Health
“As Exceed.ai's business continuously grows, our AI models are required to work seamlessly with a growing number of use-cases and customers. Mona is enabling our growth by assuring that our AI works as planned for all of our use-cases, and alerting us the moment our AI fails or underperforms.”
Igal Mazor, Chief Data Scientist at Exceed.ai
“At Hyro, we strive to always deliver the best value to our customers. Using Mona, even as our customer base and variety of use-cases continue to grow, we can ensure that if any of our bots misbehaves, we’d be the first to notice and fix, before customers are affected.”
Nitzan Bar, Chief Architect at Hyro
STEP INTO OUR TIME MACHINE
What Can Mona Uncover In Your System?
Assess whether Mona is right for you by analyzing historical data.
Detect past anomalies
Pinpoint sources of issues
Cross-reference with your findings
To learn more about retrospective insights, submit your email below.
“Mona is already helping us get dramatically more comfortable with our AI deployments. We performed a thorough market evaluation, and Mona has uniquecapabilities which made it the best fit for our needs.”
Roye Wietzfeld, Head of Digital R&D at Israeli Ministry of Defense
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