“We’re Moving From Measurement Based Trust In Data To Model Based Trust”

“Horizons Has Demonstrated That Geospatial Can Convene A Much Broader Conversation”

“Geospatial Comes With Immense Potential — and Responsibility”

“Do We Even Understand What Our Skills Gap Is?”

"If You Are Playing With AI Today, You Experienced Its Bias”

“Geospatial Is No Longer A Peripheral”

“When Geospatial Tech is Shared, Data Becomes An Asset, Not A Cost”

“Even If Machines Surpass Humans Technically, Accountability Doesn’t Disappear”

Only Weeks Left Until Horizons 2026

“When Geospatial Tech is Shared, Data Becomes An Asset, Not A Cost”

“Modern Decision Making Is Becoming Inherently Spatial”

“Most Interesting Conversations Happening At The Edge of Geospatial Community”

“The Worst Thing For AI Is To Be Built On A Bias Of Data”

“Mapping The Earth Extends Far Beyond A Four Year Government Term”

“Commercial Organizations Should Also Define What Safe Use Of AI Means”

"We Have Been Working With AI For More Than 15 Years"

“A National Mapping Agency Needs A Different Approach To Startups Than Silicon Valley Accelerators”

“Data Scientists Can’t Deliver Without Knowledge Experts”

“It’s Not The Business Model Of A Professor To Keep Up On Tech”

“Many UK Farmers Still Managing Their Land Using Paper Maps”

“Fine-Tuned LLMs Power Action-Taking Agents”

“Employers Don’t Interview Your Syllabus – They Interview Your Work”

“AI Won’t Do Everything, But It Can Accelerate Key Steps”

“Understanding the Future Is a Superpower Entrepreneurs Give Us”

“Colleges Don’t Teach End-to-end Workflows — But Jobs Demand Them”

“Clients Are Overwhelmed By The Amount Of Data AI Provides“

Using AI to Unlock ROI and Accuracy

“I Would Urge Anyone Who Owns A Building To Have A Digital Twin”

“Are Businesses Actually Banking on the True Value of the Geospatial Data?”

“Combining Data Sets Helps Us Understand Change And Prevent Road Damage”

“Building Failures Often Come Down To Lack Of Maintenance”

“Leaders Must Make Geospatial Tangible and Understandable”

Why The Geospatial Industry Needs A Unified Voice

“Structuring Data Is What Makes AI Actually Work”

“We Have the Technology and the Data—What We Need Is to Work Together to Map Africa”

“WGIC Is A Rare Space Where Competitors Come Together To Collaborate”

“This Human Versus Machine Challenge Is Practical, Political, & Personal”

“The Fabric and the Façade of the Building Is Effectively Like the Skin”

Why The Geospatial Industry Needs A Unified Voice

“Operational People Must Be Involved From The Earliest Stage Of The Project”

“If Your Data Isn’t Structured, You Can Forget About AI”

“Technology Is Very Mature —But Improvements Are Costly”

“Maintaining Data As A Continuous Process, Not A One-time Setup”

“Geospatial Technologies Are Central To Transforming How We Manage Land”

Why Some Geospatial Companies Lose Their Edge

“Clear ROI Comes When Geospatial Initiatives Align with Core Organizational Objectives”

“Africa Faces A Widening Knowledge And Leadership Gap”

Why Pixel Processing Alone Isn’t Enough