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z^E)wdf#ZaHkxsh(%Uje51#$8QX1Wz-;v>KlQ}(Y1q4@UA{*-O$8vH21TKoi_)U(x} z;N_ubc)S>0?zr40(8a8AV!q&acX_0^McryQn%^4x_oW0f^VMS$2F*2)YAMdTgmH0bo|*3Wk{uwD gHKgFT_{n40RDZ%7eYB)rsVguq@Ksno^h@9X0Itz?`~Uy| literal 0 HcmV?d00001 diff --git a/2023/GeoMundus/index.html b/2023/GeoMundus/index.html new file mode 100644 index 0000000..6f21589 --- /dev/null +++ b/2023/GeoMundus/index.html @@ -0,0 +1,314 @@ + + + + + The Future of the Developer Tooling for Geospatial || GeoMundus + + + + + + + + + + + + + + + + + + + + + +

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The future of (Developer) Tooling for Geospatial

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María Arias de Reyna Domínguez

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@delawen@floss.social - @delawen

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Senior Software Engineer

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Who am I?
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  • 19🐱🐱 Crazy Cat Lady
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  • Free and Open Source Advocate
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  • 2008 Software Engineer
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  • GeoSpatial world
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    • 2009 Dijkstra A* Witch
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    • 2012 Metadata Wrangler
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    • 2013 OSGeo Charter Member
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      • 2017-2019 OSGeo President
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  • 2016 Women in Tech
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  • Senior Software Engineer at Red Hat
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    • 2019 Integration Druid
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      • 2019 Apache Camel contributor
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      • 2020 Apache Software Foundation
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      • 2021 Lead Kaoto Development
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  • 2020 Java Champion
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The Evolution of Geospatial
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Evolution of Geospatial

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The best way to infer our future is to study our evolution.

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  • Analogic
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  • Digitalization
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  • Location Intelligence
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  • Smart Geospatial
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Analogic Era
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Analogic Era

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Census Bureau cartographers prepare maps for the 1960 census.

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Digitalization
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Digitalization

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  • Better Editing Tools
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  • Better Storage Formats
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  • More Detail
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  • GeoComputation
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    • Ontology and Semantics
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  • Able to manage more Datasets
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Which leads to high quality Big Data

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The power of Big Data

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  • Artificial Neural Networks (ANN)
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  • Heuristic Algorithms
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  • Fuzzy Logics
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  • Deep Learning
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  • Python
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  • R
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The power of Big Data

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  • Identifying Spatial Patterns
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  • Exploring Spatial Factors
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  • Spatial Interpolation and Prediction
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  • Spatial Simulation
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  • Decision Making
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Location Intelligence
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Location Intelligence

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Smart Geospatial
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Smart Geospatial

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When we met Artificial Intelligence

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What we won't discuss

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Let's focus on what we can, not what we should.

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Artificial Intelligence

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Natural Language => Structured Format

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  • Natural Language -> Query
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    • Specific LLM models
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  • Natural Language -> Spatial Data
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    • Semantic models
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Raster => Structured Data

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  • Imagine Processing
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Structured Format => Natural Language

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  • Generate map descriptions
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  • Generate labels automatically
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  • Choose the best style
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Generative AI vs Derivative AI

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  • Ethical concerns
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  • Security concerns
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    • Where does my data go?
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    • Am I training my competitors?
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    • Whose data I'm using?
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  • Mix different types of AI
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Questions?
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