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Vivek Desikan, Director - Strategic Account Management and Service Delivery, to share Five Ways to Increase Efficiency of Predictive Models
San Francisco - LatentView Analytics, a leading predictive analytics and decision sciences firm, will be presenting at Predictive Analytics World (PAW) in San Francisco on April 1, 2015. Vivek Desikan, Director of Strategic Account Management and Service Delivery, will be discussing how predictive models can be improved for better outcomes.
A lot of the success of a predictive model starts at the data cleaning stage. Data cleaning and processing doesn't end with treating data for outliers, missing values and variable transformations. The data can be reshaped to reduce noise before modeling and obtain better accuracy. Segmentation of the data is also important as it leads to a better understanding of your base and is essential as relationships change by segments.
In this session Vivek will expand on the above and provide attendees with usable tips and strategies that are implementable and will result in higher efficiency models.
Who: Vivek Desikan, Director of Strategic Account Management and Service Delivery
What: Feature presentation: “Five Things that you Need to do to Increase the Efficiency of Predictive Models”
When: 9:40am on Wednesday, April 1, 2015
Room: Golden Gate A, Predictive Analytics World
PAW was founded by former Columbia University professor and author Eric Siegel and has emerged as one of the leading analytics events for practitioners. Other speakers include Thomas Hill, Executive Director - Analytics at Dell Software Group, Charles Berger, Sr. Director - Product Management, Data Mining and Advanced Analytics at Oracle, Ashish Bragaza, Director - Global Intelligence at Lenovo etc.
LatentView Analytics is one of the largest pure play analytics firms in the market today and is growing at well over 100% YoY. The company is a trusted analytics partner to Fortune 500 companies across verticals. In 2014, the company was named an Advanced Consulting Partner to Amazon Web Services (AWS) based on its experience and expertise in Big Data Analytics.