Google’s services helps governments and companies build a more prosperous and sustainable future for their organization with a comprehensive platform for geospatial workloads and applications that only Google can deliver.

Jeff Spugnardi and Brady Allred, with Google, walk us through and discuss their Google Earth Engine analytic tool. They explained the expansion of the tool from humanitarian use cases to now enterprise use cases as well. With over 50 petabytes worth of imagery, Earth Engine tries to reduce the time collecting data and allow analysts to spend more time finding the answers they’re looking for.

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.

ASTERRA (formerly) Utilis provides data-driven solutions for water utilities, government agencies and the greater infrastructure industry in the areas of roads, rails, dams, and mines. The company’s proprietary algorithms and highly educated scientists and engineers are the key to their mission, to deliver actionable intelligence to advance Earth’s resource resilience. Since 2017, ASTERRA technology has been used in over 59 countries, saving over 169,280 million gallons of potable water, reducing carbon dioxide emissions by 108,339 metric tons, and saving 423,200 MWH of energy, all in support of United Nations Sustainable Development Goals. ASTERRA is headquartered in Israel with offices in the United States, United Kingdom, and Japan. Their innovative data solutions are used in multiple verticals around the globe. ASTERRA is investing in artificial intelligence (AI) to bring their products to the next level.

Elly Perets, the CEO of ASTERRA, and James Perry, ASTERRA’s Executive Vice President for the America’s Region, describe how their company identifies infrastructure failures and how they plan to expand to other opportunities in various sectors. Elly discusses the urgent need for infrastructure failure detection and the short comings of the current solutions.

As a leading location intelligence platform provider (Forrester Wave 2020), Esri empowers leaders with innovative tools to help create sustainable prosperity. Esri's customers drive digital transformation by embracing the power of location,

Stuart Penninger, a Solution Engineer at Esri, tells us about the ArcGIS GeoAnalytics Engine. He discusses how their tool allows users to access massive amounts of data from virtually anywhere. His demonstration walks us through an analyst’s workflow and emphasizes the speed and ease-of-use of their system and how impactful it is for analysts in the industry. He also explains the skillsets needed to work with the application and the learning curve users may face.

People have grown to believe that big data is unwieldy, cumbersome, slow. Tectonix believes otherwise. They set out to deliver an unmatched data experience, where rapid response times and intuitive controls combine to yield actionable insights in seconds instead of hours. Traditional data tools are built to take a large data set, accept a narrowly defined query and provide the answer that the user thinks they're looking for. Tectonix sought to take a different approach. Instead, they start with the big picture, allowing their users to whittle down to the answers they seek. In doing so, users discover answers to questions along the way that they would never have thought to ask, generating actionable intelligence that would have otherwise gone undiscovered. Most analytics platforms can help you find a needle in a haystack — but when scaling your lens to start with hundreds of billions of data points becomes not just possible, but PRACTICAL, you'll be able to find every needle in every haystack and see how they all fit together.

Mike DiMarco, with Tectonix, explains their large scale data visualization and how they are able to work with datasets in the hundreds of billions. Their frontend UI allows users to easily interact with the data at the speed of thought. He demonstrates how their scalability creates an environment where analysts can get core insights without having to wait hours.