The PMI Atlanta AEC Forum is a focus group that hosts regular events with ranging topics in the architectural, engineering, and construction fields. We will show the importance of solid project management in these related fields of study.
Predictive Analytics, as the name rightly suggests, is the science of analyzing current data to make predictions about future. It encompasses various techniques such as data mining, statistics, predictive modeling, machine learning, artificial intelligence, among other analytical techniques. With data to back their actions, organizations can become proactive and forward looking.
In this presentation Mahesh will provide details of how analytics can be used in the AEC field and will cover real life case studies on predicting likelihood construction project success. He will talk about the approach on building and deploying such early warning system and key insights.
Mahesh is the Founder and CEO of Tiger Analytics. He started Tiger Analytics with a desire to bring his experience in management science to help organizations achieve superior performance through the application of advanced analytics. Before founding Tiger Analytics, Mahesh was on the faculty of the Smith School of Business and Rutgers Business School.
He has conducted research in the areas of data mining and statistical modeling and has successfully applied his research to solve problems related to forecasting, pricing, promotions, and customer segmentation for a wide range of businesses across various verticals.
Mahesh holds a Ph.D. in Operations Research and Marketing from MIT, and a B.Tech in Computer Science from IIT Bombay.
Tuesday, December 8, 2020, 6:00 PM - 7:15 PM.
Webinar
You will receive an email from the PMI Atlanta Chapter with the webinar link 24 hours before the event start time.
PMI Atlanta Member: $8.00
Non-Member: $10.00
Earn 1 PDU
Talent Triangle Category: Strategic & Business Management
PDUs can be claimed here.
For detailed instructions, please visit the CCRS User Guide.
Event Date | 12-08-2020 6:00 pm |
Individual Price | $10.00 |
Location | Webinar |