Technology Megatrends & The Role for Geospatial

Transcription

1 Technology Megatrends & The Role for Geospatial Candace Kinser Chief Executive Officer New Zealand Technology Industry Association New Zealand ESRI User Conference 21 August 2013 Auckland

2 What does the future hold? 5 years from now. All of the technology is in development now, just not on the market yet. 10 years from now Much of the technology is being developed now, or roadmapped by universities, researchers and inventors.

3 20 years from now We really have no idea.

4 What are the megatrends? Faster, better cheaper: Technology Networking Connectivity Leading to much more: Complexity Content Creativity Decentralisation

5 Big changes in a short time Today Mobile Social networks Work anywhere VoIP PodCast YouTube Wikipedia Virtual world Self determinism Yesterday Fixed Work from office Telephone Radio TV Encyclopedia Real world Employment

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7 Living in a world of networked people & things Cloud networks Mobility Social networks Big data integration BYOD Personal & professional life merging across technology

8 Enterprise to Me

9 What are the big problems for tech? Expertise is in short supply everywhere Standards are lacking Outcomes are often unpredictable Emergent behaviours are highly unpredictable Accelerating cycles of expectation Innovation is difficult, but in high demand

10 Megatrends with geospatial impact

11 Cloud environments Evolution of cloud environments will impact all aspects of data management Giving immediate access to both imagery & applications to end users anytime, anywhere Emergence of public clouds with standards and structure MaaS Model as a Service share

12 Mobility Shift from hardware production to content creation Local discovery and alerts integration (i.e. nearest ATM, traffic jams, best Italian restaurant, etc) Check-ins are the new status message Every big car maker will make connected cars by 2014 Citizen familiarity with Location Based Services will increase and become an expected part of apps A lifeline in disaster situations real role for GIS rapid expansion

13 Crowd sourcing In an ideal world, crowd sourced content will decrease costs, improve accuracy and increase availability of rich data Rise in Expert-sourcing for R&D and complex projects Combination of imagery & information tied to locations by the general public will create datasets that could not otherwise be created affordably Crowd sourced data will push National Mapping Agencies into niche areas.

14 Business & Government Use of Data Greater investment in tools and resources to manage big data Cloud standards for large scale data delivery Creation of a geospatial infrastructure that societies will increasingly rely on in ways similar to electricity grids or highways Data standards for business & government will overlap in many areas of data management (i.e. INSPIRE for geospatial)

15 Privacy of the people Location sensors in everyday devices will proliferate Technology will move faster than legal and governance structures can keep up with policy formation Increased use of Unmanned Aerial Vehicles (UAVs) as a tool for rapid geospatial data collection will increase Link between geospatial data and social media will become more abundant

16 Rising wealth of developing countries Highest growth areas for mobile uptake and purchasing via a mobile device: Africa, Middle East and Latin America Demand for geospatial data will increase as developing countries look to develop their economies Low cost tech sensors for LBS will proliferate

17 New Zealand Technology Snapshot ICT attracts $2b of Government procurement, which is 7% of all procurement expenditure ($30b annually) The tech sector is worth more than $23b a year in NZ and employs 60,000 people 34 ICT companies with revenue over $50m in 2012, and 18 with over $100m. The tech sector is 3rd for economic value to NZ, behind dairy and tourism. The tech sector has the scalability and potential to be the #1 industry for GDP contribution by

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19 Geospatial challenges for the future Monetisation Free and open access to data will be the norm, geospatial will be no exception and seen as an essential public good. Funding models in non-profitable areas will be difficult Data ownership Rapid growth may lead to confusion over distribution rights, liabilities and other areas Protecting data from processes like data scraping Single info layers to mash ups Government use of geospatial Monitoring or restricting movements of citizens Maintaining national geospatial data infrastructures

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21 Acknowledgements Diagram on Web of Things from Quarter Life Crisis: The world according to Sven- S.Porst, Cochrane Associates UN Committee of Experts on Global Geospatial Information Management, Future trends in geospatial information management: the five to ten year vision, October 2011.