PangeAI is targeting today's geospatial intelligence market, worth around $100 billion, where expert-driven, manually prepared projects still dominate. The startup is initially focusing on verticals ...
In today’s data-saturated world, knowing where and when something happens is crucial. From crisis response, defense to urban development and climate monitoring, Geospatial Intelligence is transforming ...
The General Services Administration is not fully compliant with a key piece of the Federal Aviation Administration Reauthorization Act that governs processes related to geospatial data, a new watchdog ...
Geospatial data infrastructure (GDI) and workflow management are pivotal components in modern spatial analysis, underpinning efforts to collect, mobilise, process and disseminate geospatial ...
Partnership between Vantor--formerly known as Maxar Intelligence--and SkyFi enables rapid access to critical earth intelligence for public and private sector organizations AUSTIN, Texas and ...
As global competition intensifies, defense mission velocity depends on rapid decision-making powered by secure, real-time geospatial intelligence. They are largely ready to meet the moment, leading ...
Federal civilian agencies are operating at a critical inflection point. The public expects faster, smarter, and more transparent services, while agencies face pressure to deliver under tightening ...
Enabled Intelligence, an AI startup that focuses on computer vision algorithms and task automation, has booked a potential $708.3 million contract for data labeling services across the U.S. government ...
The National Geospatial-Intelligence Agency has awarded a $200 million contract to 13 companies for commercial geospatial intelligence data and services. The agency said Wednesday the vendors selected ...
The National Geospatial-Intelligence Agency (NGA) has a new mindset when it comes to the examination and development of possible geospatial solutions. The new head of research, Ronzelle Green, stepped ...
Two years ago, the entire world spent an estimated $800 million on data labeling: the painstaking process of annotating images and other information to train machine-learning and AI models. Now, the ...
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