Hear how Pandora is using anomaly detection and get some great insights from their research in our webinar this week, “AI-Based Anomaly Detection for Proactive Business Monitoring“.
Here are five reasons you won’t want to miss it:
1. DATA-DRIVEN THINKING
As we all know more than ever, data is an asset. In recent years, data-driven organizations are pushing the technology scene. Enter real-time automatic anomaly detection, stoking businesses with the data-driven fuel to grow on. Monitoring your data continuously like a 24/7 workhorse, we address use cases like churn, data quality and missing data, real-time data deviations, bug fixes, pricing opportunities, and more.
2. TECH INNOVATIONS AND A DEEP DIVE INTO OUR DATA ANALYSIS PLATFORM
We believe that in today’s world, every product should be super easy to use. We created Anodot with the user experience in mind. It is very easy to start using Anodot – all you need to do is to send data over and the rest is done by our system. You don’t need to be a data scientist to use Anodot.
3. GIVE YOUR DATA A VOICE
Why do we say not all metrics are created equal for learning the normal behavior? How do you rank & score for abnormal behavioral learning? What are your operational wins for anomaly detection? Pinpointing performance issues and business opportunities in real time, we will share how you can increase operational efficiency and maximize revenue generation. Anodot has introduced a new approach to analyzing data, automatically learning the data’s normal behavior, then identifying any deviations and sending accurate alerts in real time. The entire process is unsupervised – you don’t need to create reports, dashboards or any static thresholds.
4. INDUSTRY THOUGHT LEADER MATT ASLETT
AnalyticsWeek put Matt Aslett on their list of the top 200 Thought Leaders on Twitter in Big Data and Analytics. Considered one of the leading demystifiers of the data industry, we will chat with Matt and hear his take on the big data ecosystem, the complexity of many current BI approaches, and the state of machine learning solutions.
5. PANDORA RADIO – ENOUGH SAID
When it comes to discovering THE music you’ll love, few companies do it better than Pandora. Learn how Pandora is applying anomaly detection to big data to keep millions of playlists pumping. Just as the CEO of Pandora said to shareholders, “Data is the foundation for virtually every part of our business. From the playlist personalization engine to the ad targeting capability, we have turned even more to data science.” A data-driven system that’s built on perhaps the most unique data collected of all — not buying or watching habits, but listening habits, Pandora will share how they are using anomaly detection to track millions of events per day and investigate potential pitfalls.