Spatial Vision’s Post

Nearmap AI can identify over 150 different feature types in a single image with mature machine learning models — drastically reducing the time and effort of data discovery.

Panel discusion -"Advancements in AI are boosting capabilities across the space economy, with synthetic data playing a key role. As Earth imaging satellites generate massive datasets, GEOINT has emerged as the largest market for AI training and validation. This panel explores how AI extracts valuable insights from large datasets and how synthetic data supports next-gen AI. Featuring Rachael Martin (NGA), Nathan Kundtz (Rendered ai), and moderator Michael Sheetz (CNBC). Panel discusion "GeoAI: Can AI Transform Geospatial Data Analysis?" 00:00:00 - Introduction to the Panel: Overview of the panel, topics, and speakers. 00:01:24 - NGA's Role and AI in Geospatial Data 00:03:30 - How AI Enhances Geospatial Imagery 00:06:01 - Handling Big Data with AI 00:12:27 - Using Simulated Data for AI Training 00:22:44 - Generative AI for User Accessibility

𝗧𝗵𝗲 𝗣𝗼𝘁𝗲𝗻𝘁𝗶𝗮𝗹 𝗼𝗳 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜 𝗶𝗻 𝗦𝗽𝗮𝘁𝗶𝗮𝗹 𝗔𝗻𝗮𝗹𝘆𝘀𝗶𝘀 The field of spatial analysis is undergoing a transformative shift, thanks to the advent of generative artificial intelligence 𝗚𝗲𝗻𝗔𝗜. By leveraging advanced algorithms, Gen AI has the potential to revolutionize how we interpret and interact with spatial data. 🎯 𝗪𝗵𝗮𝘁 𝘁𝗼 𝗘𝘅𝗽𝗲𝗰𝘁 𝗳𝗿𝗼𝗺 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜 𝗶𝗻 𝗦𝗽𝗮𝘁𝗶𝗮𝗹 𝗔𝗻𝗮𝗹𝘆𝘀𝗶𝘀? • Generative AI is expected to enhance our capabilities in several key areas: ✓𝗗𝗮𝘁𝗮 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝗼𝗻: It can create realistic, high-quality, synthetic geospatial data, filling gaps in existing datasets and maintaining privacy. ✓𝗘𝗳𝗳𝗶𝗰𝗶𝗲𝗻𝗰𝘆: It can accelerate data processing and streamline analysis, improving the speed and accuracy of spatial data analysis, leading to more informed decision-making, reducing time and resource investment. ✓ 𝗜𝗻𝗻𝗼𝘃𝗮𝘁𝗶𝗼𝗻: It can also propel the development of new methodologies for spatial analysis techniques and problem-solving, offering fresh insights into complex spatial phenomena and unlocking new perspectives on geographic information. ---- For those interested in delving deeper, here is some research papers that shed light on the subject: -“𝗔𝗱𝘃𝗮𝗻𝗰𝗲𝘀 𝗶𝗻 𝗔𝗜-𝗗𝗿𝗶𝘃𝗲𝗻 𝗚𝗲𝗼𝘀𝗽𝗮𝘁𝗶𝗮𝗹 𝗔𝗻𝗮𝗹𝘆𝘀𝗶𝘀 𝗮𝗻𝗱 𝗗𝗮𝘁𝗮 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝗼𝗻” explores the integration of AI with geospatial technologies. ----https://lnkd.in/dRTRdPdw - “𝗠𝗲𝘁𝗵𝗼𝗱𝘀 𝗶𝗻 𝘁𝗵𝗲 𝗦𝗽𝗮𝘁𝗶𝗮𝗹 𝗗𝗲𝗲𝗽 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴: 𝗖𝘂𝗿𝗿𝗲𝗻𝘁 𝗦𝘁𝗮𝘁𝘂𝘀 𝗮𝗻𝗱 𝗙𝘂𝘁𝘂𝗿𝗲 𝗗𝗶𝗿𝗲𝗰𝘁𝗶𝗼𝗻” provides a systematic review of deep learning methods in spatial data analysis. ----https://lnkd.in/dN_PjCNw - “𝗔𝘂𝘁𝗼𝗻𝗼𝗺𝗼𝘂𝘀 𝗚𝗜𝗦: 𝗧𝗵𝗲 𝗡𝗲𝘅𝘁-𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝗼𝗻 𝗔𝗜-𝗣𝗼𝘄𝗲𝗿𝗲𝗱 𝗚𝗜𝗦” discusses the integration of AI and GIS for autonomous applications. ----https://lnkd.in/dW-DZ-m2 𝗦𝗵𝗮𝗿𝗲 𝘆𝗼𝘂𝗿 𝗶𝗻𝘀𝗶𝗴𝗵𝘁𝘀 👇 #GeoAI #GenerativeAI #SpatialAnalysis #GeospatialDataSets #GeospatialData #AIInnovation #DataScience #ArtificialIntelligence #GIS Video Credit🎥: Esri

🚀 The benefits of Spatiosynth are game-changing! Transform EO data management and analytics with our platform, where assessments that once took weeks or months are now completed in hours or days. 🌐 No technical expertise? No problem! Our intuitive interface provides actionable insights effortlessly. Handle large datasets and spatial areas with ease, cut costs compared to manual surveying, and offer end-to-end services to clients. 🔍 Ready for quicker response, effective planning, and data-driven decisions? Get in touch today and see how AI and geospatial data can revolutionize your work. The future is here—are you ready? #gis #AI #DataAnalytics #Spatiosynth #Innovation

ai meets spatial data, this is to awesome! GeoGPT: An assistant for understanding and processing geospatial tasks. Keywords: Geospatial semantic understanding AutoGPT GeoAI Foundation model

Come spend a day with us as we dive into the latest innovations in geospatial technology, AI-driven data solutions, and 360° footage processing at Intergeo 2024 #INTERGEO2024 #360Camsters #GeospatialTechnology #UrbanPlanning #DataSolutions #SmartCities #Innovation #AI

𝟗 𝐄𝐱𝐚𝐦𝐩𝐥𝐞𝐬 𝐨𝐟 𝐇𝐨𝐰 𝐆𝐞𝐨𝐬𝐩𝐚𝐭𝐢𝐚𝐥 𝐃𝐢𝐠𝐢𝐭𝐚𝐥 𝐓𝐰𝐢𝐧𝐬 & 𝐀𝐈 𝐚𝐫𝐞 𝐑𝐞𝐬𝐡𝐚𝐩𝐢𝐧𝐠 𝐨𝐮𝐫 𝐅𝐮𝐭𝐮𝐫𝐞 Geospatial 2.0 is the next exciting phase of geospatial. Thank to new geospatial data and technology we are transforming how we plan, build, and manage our world. By combining the precision of digital twins with the creative power of generative AI, industries are unlocking smarter urban planning, resilient supply chains, and sustainable resource management. In my latest article, I explore 9 game-changing examples of how this powerful duo is reshaping the future. Read the article: https://lnkd.in/g8hCDkXm Credit to Muhammad Huzaifa for the original video 𝐈𝐟 𝐲𝐨𝐮 𝐥𝐢𝐤𝐞 𝐭𝐡𝐢𝐬 𝐩𝐨𝐬𝐭, 𝐩𝐥𝐞𝐚𝐬𝐞: 🔍 Follow me Matt Sheehan 👍 Like 🔁 Repost 🔗 𝐒𝐭𝐚𝐲 𝐮𝐩 𝐭𝐨 𝐝𝐚𝐭𝐞 𝐰𝐢𝐭𝐡 𝐚𝐥𝐥 𝐭𝐡𝐢𝐧𝐠𝐬 𝐆𝐞𝐨𝐬𝐩𝐚𝐭𝐢𝐚𝐥 𝟐.𝟎 𝐉𝐨𝐢𝐧 𝐭𝐡𝐞 𝐆𝐞𝐨𝐬𝐩𝐚𝐭𝐢𝐚𝐥 𝟐.𝟎 𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐭𝐲: https://lnkd.in/gGdAS47d 𝐒𝐮𝐛𝐬𝐜𝐫𝐢𝐛𝐞 𝐭𝐨 𝐘𝐨𝐮𝐓𝐮𝐛𝐞 𝐂𝐡𝐚𝐧𝐧𝐞𝐥: https://lnkd.in/gqCy8bSH #geospatial #geospatial2point0 #gis #digitaltwin #augmentedreality #generativeai #ai #geoai #3d Cesium

"Geospatial Meets AI: The Power of a Self-Conscious Location" Intriguing webinar title, isn’t it? I certainly think so. And to make it even better, the speaker is Ed Parsons. I’ve already registered for the webinar and highly encourage you to do the same!

Unlocking the Power of Geospatial-AI: The Future of Mapping is Here! At the intersection of AI and GIS, we are revolutionizing how we see and interact with our planet. With Geospatial-AI, we're not just mapping surfaces; we're infusing intelligence into every pixel. From understanding land cover changes to predicting natural disasters, this technology is reshaping industries across the board. What’s even more exciting? The integration of Large Language Models (LLMs) with Geospatial-AI. Imagine asking a system to analyze specific geographic trends or environmental data, and it provides insights that previously took days—now in minutes. This combination promises smarter geospatial solutions, enabling faster decision-making and a deeper understanding of our environment. 🌟 Join us at the Geospatial Society as we dive into this cutting-edge technology and explore how AI is transforming the geospatial landscape. Let's shape the future together. #GeoAI #GeospatialIntelligence #AIinGIS #EarthObservation #LLM #GISInnovation

Today, as globeholder.ai, we are unveiling the world’s first geospatial foundational model : an advanced transformer architecture with omni-scale spatial attention, learnable radial coordinate encoding and many other breakthroughs, trained extensively for the whole globe. We will be providing the valuable universal geo-embeddings of these models as a service, for any requested coordinate on Earth. °°°🌎°°° This marks a remarkable paradigm shift for the businesses of all scales to all verticals by : ° Boosting ML stack accuracies : By incorporating omni-context geo-embeddings for locations into the predictive pipelines, organizations of any sector; retail, energy, real estate, defense and beyond; will be capable of maximizing accuracies easily. ° Geo-embedding arithmetic : Having universal geospatial foundational models enables a new, exciting field itself. Users will be able to get answers to questions like “Given our successful ad campaign locations in NYC, where to launch in Paris ?”, unimaginable prior to global geo-models. ° Advanced locational analysis : our universal embeddings will allow for locational analysis and visualization at an unprecedented level. °°°🌎°°° As globeholder.ai, we are committed to the goal of extending our architectural know-how into world’s first spatially aware LLMs (GeoLLMs), a required next step for the future of generative AI 🚀. https://lnkd.in/e-t9Yzyi #geollm #geomodels