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Date/Time
Date(s) - 09/03/2017
4:30 pm - 7:00 pm

Location
Spark Central

Categories


We’re delighted to announce the first Wellington Analytics Forum meeting of 2017 – IoT Analytics.

When: Thursday 9th March 2017
Time:  4.30pm – 7.00pm. Talks will begin at 5pm with time for networking before and after.

Where: Spark Central, Level 1, 42-52 Willis St

This forum will focus on IoT Analytics. Speakers from Qrious, Beca, and Statistics NZ will discuss different aspects of what is required to examine and analyse IoT data.

Sarah White from Hudson will provide an overview of salary and employment insights from the Hudson Salary Insights survey that was completed late 2016.  Many of you will have completed this survey so here’s an opportunity to get an early snapshot of the results.

We’re also pleased to have Qrious sponsor this event, taking a look at the force of market and technological disruption and how businesses can stay relevant in this fast-changing world.

 

 

Our speakers:

Leverage semantic analysis, Deep Learning and dynamic real-time processing of APIs

Dr. John Graves, Senior Data Scientist, Qrious

Qrious helps clients “Find more value through Data” through big data and machine learning technologies.

We have recently expanded our capabilities beyond Hadoop location-based services to include Apache Spark and Cloudera ML tools.  This talk will take a look under the hood at how Qrious products leverage semantic analysis, Deep Learning and dynamic real-time processing of APIs.

 

Gaining Insight from Smart Transport Technology

Chris Vallyon, Senior Associate, Beca Ltd

Chris leads a team of analysts who specialise in using New Technologies and Big Data to understand the performance of Transportation Networks.  He will showcase recent studies, including the impacts of the Kaikoura Earthquake, to illustrate how technology is increasingly driving Data Driven decision making.

 

Statistics New Zealand

“Statistics New Zealand has been exploring what it would take to construct a file from already existing data that would meet the same sort of needs as a Census file. This looks easy on Television police shows but Statistics New Zealand has put a series of documents on its website that explore the best estimates that can be made for a range of data topics. This talk will summarise this work, highlight a few common themes and look forward to some next steps”

 

Hudson:  salary and employment insights from the Hudson Salary Insights survey

Sarah White, Associate Director Analytics, Hudson

Sarah will provide an overview of salary and employment insights from the Hudson Salary Insights survey.  Given most of the respondents came from the NZ Analytics Forum – this will provide a relevant snapshot on the information we provided.  For example, what sectors have the greatest representation of analysts, salary movements and levels and what are people in this field motivated by when considering other opportunities.

 

Please note: The event is free but requires a booking. Due to the limited number of seats available, we recommend that you book early and request that you make this unique opportunity a priority. If after booking you are unable to attend, please cancel your booking so that others can participate.

 

Bookings

Bookings are closed for this event.