Webinar: Modern Data Strategy for Regional and Mid-Size Banks

Cloudera Webinar 9-21-2017

Learn how your organization can derive analytic insights, improve real-time decision making, and deliver a better customer experience.

Dallas Talend User Group Launch

talend_user_group_Dallas

Come hear what Nitin Kudikala, Customer Success Architect at Talend, has to say about Job Design Patterns

Build Your Own Data Fabric to Deliver the Most Effective Customer Experience

MapR Webinar 8-8

Join our MapR and RCG experts on Tuesday, August 8, 2017 to learn how to build your own data fabric to deliver the most effective customer experience

RCG Sponsors and Participates in Philippines Charity Outreach Program

AMCham Charity Event 201707

RCG Global Services was a major sponsor and participant in this charity outreach program for the Mangyans and Indigenous people of Puerto Galera, Mindoro

Operationalize your data through the Converged Data Platform

20170515 MapR RCG Events

Witness customer case studies for real-time data utilization supported by RCG, and see the capabilities of the MapR Converged Data Platform in action

Application of Machine Learning Techniques on Semi-structured Social Media Data for Classification

Informs 2017

RCG’s Damon Samuel will be speaking at Informs 2017 Business Analytics Conference about the Application of Machine Learning Techniques on Semi-structured Social Media Data for Classification

Retail (R)Evolution with Pitney Bowes

PB Retail Revolution

This exclusive conference brings together innovators and trailblazers in the retail industry who are tackling industry disruption head-on.

Webinar: Application of Supervised Machine Learning techniques on Semi-Structured Social Media data for Classification

Jan19 DMA Webinar

This webinar will demonstrate the use of a supervised machine learning technique, Naive Bayes, in order to classify social media posts into these segments.

Johnson Controls Talks about Their Big Data Journey

JCI Webinar Replay

Webinar Replay: Johnson Controls was able to successfully integrate Big Data technology into more of their operations that ultimately supports their goals to create better products, reduce waste, and increase profitability.