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Meeting Summary

ADT303 - ML for Real-Time Self-Service Trend Detection & Root Cause Analysis: A Hands-On Lab

Session Description

Business intelligence (BI) has been a manual, static process. Analysts and engineers must anticipate the right questions, monitor the right metrics, create dashboards, apply calculations, verify and validate results, and repeat the process—which means slow, reactive insights and dangerous blind spots across business operations. In this session, get hands-on with a range of datasets across use cases like product and customer experience analytics from ecommerce, web analytics, telco, ad tech, gaming, ride sharing, and IoT manufacturing. Learn how a new class of self-learning AI/ML tools is enabling autonomous analytics with trend and root cause detection services in real time. Anodot's SaaS analytics platform offers a simple self-service model with no data science expertise required, powered by AWS, Amazon Kinesis, and Amazon Redshift.

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Additional Information
Builders Session
300 - Advanced
Please note that session information is subject to change.
Session Schedule