EXPLORE THE GEOSPATIAL INDUSTRY THROUGH THE VISIONS OF THOSE INVOLVED…

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GEOINT 2022 - Orbital Insight - Kevin O'Brien

Orbital Insight is the leader in geospatial analytics and location intelligence that helps organizations understand what’s happening on and to the Earth. Orbital Insight uses AI to answer their questions about supply chains, global commodities, geopolitical events, demographics and national security using multiple sources of geospatial data—including satellite images, mobile location, connected cars and other IoT data. Armed with this insight, organizations can anticipate future changes to avoid costly surprises and create new opportunities.

Kevin O’Brien, CEO of Orbital Insights, met up with us at GEOINT 2022 to discuss their subscription model analytics service. He elaborated on the importance of fusing sensors with the geospatial data. The aggregation of this data is key in crucial use cases for many different industries such as banking, agriculture, and energy companies. He also went on to explain the growth opportunities he sees coming for Orbital Insights and the industry as a whole in the next five years.

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GEOINT 2022 - Rendered.AI - Nathan Kundtz

Rendered.ai is a platform-as-a-service for data scientists, data engineers, and developers who need to create and deploy unlimited, customized synthetic data generation for machine learning and artificial intelligence workflows, reducing expense, closing gaps, and overcoming bias, security, and privacy issues when compared with the use or acquisition of real-world data.

Nathan Kundtz, CEO of Rendered.ai, discusses the importance and need for synthetic data and the specific challenges it solves, particularly in the GEOINT community. He goes on to address the negative stereotypes of synthetic data and the successes that can be achieved with it. He describes the different types of imagery data they have been able to produce including SAR, infrared, and even hyperspectral. He also explores the obstacles the industry still needs to address in regards to AI and ML in the industry.

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GEOINT 2022 - Descartes Labs Gov - Janie Robinson

Descartes Labs is a technology company that automates the analysis of geospatial data to help organizations answer key questions about the physical world. Through our SaaS platform, they enable the analysis of earth observation data at scale, providing services and solutions across commodity sourcing and forecasting, resource exploration, and climate resilience, while also supporting diverse federal government efforts to gather, analyze, and provide actionable insights from geospatial data.

Descartes Labs Government’s President, Janie Robinson, describes the value of Descartes Labs’ government subsidiary and the work they do. She explains the new products and services they are offering, including helping the government utilize open source and commercially available data. Their ability to work with a variety of data types and run analytics is highly impactful and works to solve the hurdles in trusting machine learning in the industry.

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GEOINT 2022 - Cognitive Space - Scott Herman

Cognitive Space is an AI-driven solution for near real-time dynamic mission management, collection planning & optimization, and revenue/performance capacity forecasting. Through space, we can monitor a changing planet, protect national interests, provide real-time communications, and enable a web of globally connected devices. It also offers the means for human civilization to scale beyond the bounds of our planet. For the vision of space to reach its fullest potential, the traditional approach of operating satellites individually will not suffice; they must be orchestrated at scale. By leveraging modern AI, cloud, and blockchain technology, Cognitive Space will orchestrate this new space domain to bring about the future we envision.

Scott Herman, with Cognitive Space, describes the problems and challenges they solve for their customers including mission management, collection planning, order management, and more. He describes the benefits of starting with Moonshot Labs and the process of participating in various other accelerators. Scott then goes on to discuss what is around the corner for Cognitive Space and the future challenges of machine orchestration.

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