Loading Map....

Date(s) - 24/11/2014
3:00 pm - 6:00 pm

Maclaurin 103 (MCLT103)


IBM-Black-logo-150pixWe are very proud to have a distinguished international expert, Dr Chid Apte from IBM’s Thomas J. Watson Research Center, as the keynote speaker for our next Analytics meeting. We are very grateful to IBM for sponsoring Dr Apte’s visit to NZ and helping to host this event. IBM International Keynote Speaker: Dr. Chid Apte, in Maclaurin 103 (Room C, MCLT 103), Maclaurin Building, Kelburn Campus, Victoria University “Data driven intelligence for optimising business outcomes” In a trend that reflects the increasing demand for intelligent applications driven by business data, enterprises are successfully building out significant number of applications that leverage data-driven methodologies based upon Machine Learning and Statistics to optimize business decisions. This talk highlights this trend; and describes the many different ways in which leading edge data analytics, operations research, and information management concepts are being integrated and utilized in successful business applications. Drinks afterwards are sponsored by IBM and the University of Auckland Faculty of Engineering NZ Analytics Forum Panel Session: Smart Cities, in Maclaurin MCLT103, Victoria University Following the IBM keynote speaker we have a series of talks by NZ leaders in the field of Smart Cities talking about different aspects of how data analytics is helping urban areas improve our quality of life.

  • John Crequer – Senior Analyst @ Statistics New Zealand
  • Nick Lupis – Webranz Founder and Consulting Services Director
  • Regan Solomon – Manager Research Investigations and Monitoring @ The Auckland Council
  • Haydn Read – Manager Strategic Asset Planning @ Wellington City Council

Event agenda and Locations:

  • 3pm – 4pm: IBM keynote speaker Dr Chid Apte, in Maclaurin 103 (Room C, MCLT103), Kelburn Parade, Victoria University
  • 4pm – 5:20pm: Smart Cities Panel, in Maclaurin MCLT103, Kelburn Parade, Victoria University
  • 5:20pm – 6pm: Networking drinks and nibbles sponsored by IBM, in Maclaurin Foyer, Kelburn Parade, Victoria University

The NZ Analytics Forum slot of the ORSNZ/NZSA joint conference is free of charge, however you need to register via the form below to attend. Dr. Chid Apte: IBM Speaker at NZ Analytics Forum 2014 at ORSNZ/NZSA Conference Dr. Chid Apte is Director of Mathematical Sciences and Analytics in the IBM Research Division, at the Thomas J. Watson Research Center in Yorktown Heights, New York. His department’s research agenda covers theory and applications of Optimization, Data Analytics, and Operations Research. In addition to maintaining a basic research agenda in Mathematical Programming & Optimization, Operations Management, Statistical Modeling & Forecasting, Machine Learning & Predictive Modeling, and Data Mining Systems, his teams are engaged in several solutions initiatives focused on Workforce, Agriculture, Healthcare, Condition-based Asset Management, Resource & Operations Management, and High-Performance (Big Data & HPC) Analytics. Chid has over twenty five years experience as a research scientist and technical leader in the data mining and business intelligence industry with significant experience in predictive analytics solutions for insurance, finance, retail, manufacturing, healthcare, and agriculture. Chid has led several projects to develop capabilities for IBM’s Information & Analytics product portfolio and advanced analytics solutions for IBM’s clients. He received his Ph.D. in Computer Science from Rutgers University, and a B. Tech. in Electrical Engineering from the Indian Institute of Technology (Bombay). He has published extensively in his areas of expertise, and actively involved in organizational aspects of leading data mining conferences. ORSNZ/NZSA Joint Conference: If you wish to register for the wider conference event, please register via the ORSNZ/NZSA conference website    Note: In the comments field please write your Company Name for the name badge


Bookings are closed for this event.