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► Learn about Apache Pinot: dev.startree.ai
Introduction to StarTree ThirdEye, our new automated anomaly detection system that runs on top of Apache Pinot™. ThirdEye uses statistical anomaly detection methods, monitoring, and interactive root-cause analysis to convert seemingly endless streams of data—with a few anomalies hiding in the torrent—into actionable insights. In this webinar, we’ll help you see why anomaly detection is a problem that desperately needs to be automated, and how ThirdEye does it. And of course, we’ll give you a demo of the product on real-world data.
Agenda:
00:00:00 Intro
00:04:30 Introduction to StarTree ThirdEye : Tim Berglund, StarTree
00:23:21 Demo: Madhumita Mantri, StarTree
00:43:04 Q&A
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Tim Berglund
VP Developer Relations @StarTree
Tim is a teacher, author, and technology leader with StarTree, where he serves as the Vice President of Developer Relations. He is a regular speaker at conferences and a presence on YouTube explaining complex technology topics in an accessible way. He tweets as @tlberglund, blogs every few years at timberglund.com, and lives in Littleton, CO, USA. He has three grown children and one grandchild.
Madhumita Mantri
Product Lead @StarTree
Techno-creative Data R&D Product Manager, enjoy solving problems for data users to deliver successful user and business outcomes by unlocking data potentials. I spent a good chunk of my career strategizing/leading/building/solution architecture and deploying personalized data products/platform experiences/internal products in Social Media, Applied AI (Trust and Feed content quality), Data Science, AI, Analytics, CRM, Ads Serving, Jobs, Career Management domains and companies like LinkedIn, Yahoo and Intuit. Passionate about data, applied AI, coaching, public speaking and social good.
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ABOUT STARTREE
When you hear “decision maker,” it's natural to think, “C-suite,” or “executive.” But these days, we’re all decision-makers. So, yes, the CEO is a crucial decider, but the franchise owner, the student, or the big box shopper all have important choices to make, too. The difference is, those traditional decision-makers have access to relevant data to guide their thinking. All the others? Flying blind.
Our vision is to change that. We believe every decision-maker should have access to fast, fresh, actionable insights. We’re motivated to unlock what’s possible when you put the right information in the right hands at the right time. Like the restaurant owner who’s able to call in an extra cook because she can see the surge in orders coming. Or the holiday shopper who has plenty of time to pick a different gift for his loved one because he sees his original order is delayed at the moment the supplier registers a procurement delay. Or the use-case we can’t even envision yet, because it is sitting in your data, waiting to be set free.
Exposing timely information to real decision makers in intuitive apps that not only inform, but allow you to act on the information being shared. That’s how we’re unleashing the power of user-facing analytics.
#apachepinot #realtimeanalytics #startree #anomalydetection #anomaly #machinelearning
- Automated Anomaly Detection with StarTree Third Eye - Virtual meetup! ( Download)
- What is Real-Time Anomaly Detection (StarTree ThirdEye Lightboard) ( Download)
- Meetup: Automated Monitoring for Optimizing User Experience in Consumer Products ( Download)
- Meetup: How to Use Anomaly Detection for Real-World Business Problems (Madhumita Mantri, StarTree) ( Download)
- Preventing eCommerce Fraud Using StarTree ThirdEye ( Download)
- Apache Pinot Concepts: Data Security ( Download)
- Real-time Analytics: Going Beyond Stream Processing With Apache Pinot ( Download)
- DC_THURS on the Evolution of Pinot ( Download)
- Native Text Indices and LIKE Operator ( Download)
- DC_THURS : Apache Pinot w/ Kishore Gopalakrishna ( Download)
- Tim Berglund on Realtime Analytics with Apache Pinot ( Download)
- Optimizing Speed and Scale of Real Time Analytics Using Apache Pulsar and Apache Pinot by M ( Download)
- [VDZ22] Optimizing Speed and Scale of User-Facing Analytics w Kafka and Pinot by K Wolok, T Berglund ( Download)
