Outage Prediction : Technical discussion in AI and ML

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https://www.eventbrite.com/e/austin-big-data-ai-technical-presentaion-tickets-128662660481

Agenda:
Outage Prediction - case study:

1. Problem Statement
2. Target data characteristics (based on clients we've worked with)
3. Other variables that influence weather caused outage prediction
4. Spatial and Temporal granularity issues
5. Data imbalance and range issues

Speakers:

Harini Srinivasan - Senior Technical Staff IBM Watson.

She manages a team of data scientists that brings weather-based solutions to clients across multiple industries. Her focus is to build innovative solutions bringing actionable insights for IBM clients. Prior to her assignment in the Weather division, in her 26-year tenure at IBM, she’s worked in areas such as social media data-based analytics, analytics for e-commerce environments, performance analysis of large-scale solutions and fundamental research in programming languages and run-times.

Gurkanwar Singh- Data Scientist in IBM AI Applications.

He’s passionate about using AI and ML to enable businesses to prepare better for adverse weather conditions. Previously he has worked as an analyst in the credit card industry. When not at a computer, he enjoys hiking and exploring new restaurants in the city.