Business Before 9 - 23 August 2018Name: Business Before 9 - 23 August 2018Date: August 23, 2018Time: 7:00 AM - 8:45 AM ESTRegistration: Sorry, public registration for this event has been closed.Event Description:
Big Data spurs innovation, problem solving and new opportunities When: Thursday 23 August 2018 Where: University of New England
Level 1, 232 Church Street,
Parramatta NSW 2150
Time: 7.00am - 8.45am Cost: $25pp (includes breakfast & networking) What exactly is Data Science?
How can data science help you produce analytic insights to solve business problems and achieve your goals? Do you have a Data Science Strategy?
The term “Big Data” is being increasingly used in a wide range of ways throughout society, with a diversity of perspectives ranging from promise of untold new freedoms, innovation and well-being through to dystopian visions of citizen control and manipulation. Within this broader discussion, debate rages about whether use of “Big Data” will transform or make redundant current approaches to research in almost all disciplines.
UNE has a strong record in data-based science, most notably in agriculture. This underpins continuing strength in research and teaching in those fields. But it is not the only area of research in which UNE researchers make use of this approach. UNE has strength in the use of Big Data across a wide range of disciplines, including medicine, the sciences in general, geography and natural resources and economics and law, all of which contribute to wider community issues regarding the collection and use of data.
Research Fellow and adjunct Lecturer
Matthew Wysel BE (Aerospace) (Hons) MTechMgt UNSW
Matthew is a Research Fellow and adjunct Lecturer at the University of New England, Armidale and co-Founder of WyselMoore a bespoke technical operations consultancy. Matthew helps blue-chips, SMEs and start-up businesses leverage their technology to capitalise their information and increase the reliability and scalability of their operations.
Matthew has managed global operations for an industrial R&D company who supplied visualisation technology into the mining, oil and gas, aerospace and FMCG sectors; taught Neuro, Spinal, and ENT surgeons how to operate with increased efficiency and safety using surgical guidance technology; developed a satellite refuelling system with NASA on their Zero Gravity ?Vomit Comet?, and designed military aircraft for Lockheed Martin and the Boeing Company.
Matthew has a First Class Honours in Aerospace Engineering, a Master of Technology Management (International Business Strategy) and is a candidate in both a Master of Professional Accounting and PhD programme (Economics, Computational Science) at the University of New England.
Raymond Wan. It is Insights that make big data so powerful.
Raymond is an Associate Director in KPMG Australia's Transaction Services practice within Deals, Tax & Legal.
Areas of expertise Advisory, Deal Advisory, Mergers and acquisitions, Transactions.
Raymond will discuss how raw data that is buried deep, is collected, processed and analysed using a ?Strategic Profitability Insights? tool to uncover insights significantly faster and more accurately to support informed and timely decision making.
Raymond has a wide range of transaction experience in both the public and private sectors. This includes buy and sell side due diligence for corporate and private equity clients and a broad range of advisory work.
Johan Boshoff - Case study on how sheep farmers are leveraging big data to increase productivity and improve welfare of their animals.
UNE has established expertise in agriculture and environment-focussed data science through its data transformation hub, CASI (Computation, Analytics, Software, Informatics). CASI is tasked with bridging the gap between academia and industry by turning research into practical solutions.
Johan Boshoff is the Operational Manager of CASI and is leading a team that has developed a number of web-based applications, including ASKBILL (askbill.com.au) for the Sheep CRC. ASKBILL utilise environmental and genetic data, individual farm records, price grids and data from various other sources to deliver risk alerts and decision support tools. Various biophysical and machine learning models have been integrated in an analytics platform that provides forecasts for up to 180 days.
Johan will give insights on how billions of data points can be utilised in real time for decision support, increased productivity and better welfare outcomes for graziers.