The Making of an Autonomous Business Monitoring Product
Details
We start Y-DATA talk series called Data Driven Products. This series of standalone lectures brings in Data Science and Machine learning experts from the industry to talk about the "real-world" aspects and challenges of creating ML-based products. Each week a different guest lecturer introduces their company and its ML-based products and speaks in detail about various technical and product topics and challenges inherent to their work. Those talk aim to familiarize the community with the day-to-day challenges of data science work in different domains and introduce them to some of the leading tech companies in the field, their products and their unique features.
Talk #5
3/12 12:15-13:15
"The Making of an Autonomous Business Monitoring Product"
In the talk Ira will talk about the journey for creating the Anodot product - an ML based monitoring product that processes billions of data points per day, collected from many businesses, and alerts on abnormal behaviors that may indicate issues that can impact the business.
He will discuss why ML is a good fit for the problem of monitoring at scale, the requirements on the system and algorithms and how they translated to design choices when developing and/or inventing the ML algorithms running constantly behind the scenes. Specifically, Ira will discuss anomaly detection algorithms and how they are used for creating an autonomous business monitoring product.
Speaker: Ira Cohen
Ira is the chief data scientist at Anodot, working on learning algorithms for analyzing time series signals at large scale - from anomaly detection, clustering and forecasting. Prior to Anodot, Ira was Chief Data Scientist at HP Software, defining and developing advanced data analytics & big data initiatives. Before that Ira was a senior researcher at HP Labs, leading R&D in machine learning and data mining for analyzing large scale event streams. He is the author of numerous patents and publications and holds a PhD in Electrical and Computer Engineering from the University of of Illinois at Urbana Champaign.