New Peer Group Event Arrives August 21st
Big Data is one of the fastest growing areas in IT and according to Forbes Big Data is making a huge contribution to revenue growth in Sales and Marketing, Research and Development, Supply Chain Management, Workplace Management and Operations. The New Mexico Technology Council (NMTC) recognizes that there is a growing shortage of skilled resources in our state and NMTC is committed to helping our membership by building awareness of the technology and the opportunity. The Big Data Peer Group will exist to share information on Big Data and Data Analytics being used locally.
“NMTC is a strong believer in listening to our membership and helping to support their education and professional needs,” said Auri Vigil, Marketing and Events Coordinator at NMTC. “Big Data has been a topic in many conversations allowing for the perfect opportunity to help our membership by launching a new Big Data Peer Group.”
According to the forecasts of the World Economic Forum, by 2020 data analysts will be in high demand in companies around the world. The LinkedIn Workforce Report confirms and supports this claim for the USA, stating that demand for these skills has increased sixfold and is expected to continue to grow over the next five years. IBM predicts that the annual demand for data scientists, data developers and data engineers will lead to 700,000 new recruitments by 2020.
If you are interested in joining the NMTC Big Data committee or being a possible upcoming speaker please contact Nels Hoenig, NMTC Big Data Chairman at nmtcbd@gmail.com.
“Your ideas are welcome, we only succeed by sharing ideas and learning from each other,” says Hoenig.
Event Details:
Join us for the Big Data kickoff meeting on August 21st at the Bioscience Center!
NMTC Big Data Peer Group
Date: Tuesday, August 21st
Time: 8:00am – 10:00am
Location: The Bio Science Center
5901 Indian School Road NE
Albuquerque NM 87110
Register: Tickets
More information/Questions:
Contact Nels Hoenig, NMTC Big Data Chairman
nmtcbd@gmail.com