FEATURE : ANALYTICS
The future of spatial data is bright – but not without its own unique challenges
• Tackling complex global challenges : Spatial Data Science has always played – and will continue to play – a critical role in addressing global issues like climate change . And as these challenges escalate in urgency and severity , the importance of spatial analysis , as a core problem solving tool will become even more valuable thanever .
• Analysis at scale : Cloud infrastructure , open source solutions , AI and other innovative technologies are transforming the field of Spatial Data Science by making it possible to collect , analyze , and drive actionable insights from massive amounts of data . The end result : bigger analysis , faster insights , and greater accessibility
• Not enough talent to go around : The talent shortage remains one of the most pressing challenges facing the industry today . While the need for spatial data expertise increases , finding , recruiting , and hiring skilled Spatial Data Science talent isn ’ t getting any easier .
“ As Spatial Data Science continues to evolve and become more embedded across multiple industries , this report highlights both the opportunities and challenges that lie ahead ,” said Michael Johns , Geospatial Specialist Leader , Databricks .
“ From issues that we have been facing for years – such as open data availability , interoperability and talent scarcity – to newer developments like AI which are set to revolutionize the way we work , it ’ s more critical than ever to understand the geospatial landscape .” p
www . intelligentcio . com INTELLIGENTCIO NORTH AMERICA 43