Artificial intelligence lives on power and water, fed to it in vast quantities by data centres around the world. And those centres are increasingly located in the global south. Colon, a municipality north of Mexico City/in central Mexico, is home to Microsoft’s first hyperscale data centre campus in the country. The town of 67,000 is suffering extreme drought. Its two dams have nearly dried up, farmers are struggling with dead crops, and families are relying on trucked and bottled water to fulfil their daily needs. In this episode of Hard Copy, we explore why Big Tech is choosing water-stressed regions for their water-hungry operations. And why are governments giving data centres access to water when so many of their citizens are going thirsty? Watch the full video to find out more: https://lnkd.in/exY2M5ii 📹 Fintan McDonnell ✍️ Diana Baptista
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🌏 Founder @Geospatial Data Consulting | 🖥️ Data Scientist | 📖 #1 Best Seller Author on Amazon | 🎯 PhD in Network Science | 🎖️ Forbes 30u30 | 👨🏻🏫 LinkedIn Learning instructor
One of last year's highlight articles was this one titled "𝐔𝐫𝐛𝐚𝐧 𝐀𝐜𝐜𝐞𝐬𝐬𝐢𝐛𝐢𝐥𝐢𝐭𝐲 — 𝐇𝐨𝐰 𝐭𝐨 𝐑𝐞𝐚𝐜𝐡 𝐃𝐞𝐟𝐢𝐛𝐫𝐢𝐥𝐥𝐚𝐭𝐨𝐫𝐬 𝐨𝐧 𝐓𝐢𝐦𝐞 " on Towards Data Science where I compared the accessibility time, measured in minutes, to the nearest defibrillator device between Vienna and Budapest. While the results are certainly thought-provoking, you may find the full article, including code and data, here: https://zurl.co/fDjm #geospatialdata #datascience #accessibility #datavisualization #maps #gis
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Looking for a meaningful hobby project or a thesis topic? Check out CREA Data Challenges! 🌏 Data problems with purpose - challenges are directly connected to our work, tackling sources and solutions for air pollution. 👩💻 Open to all & easy to join - we have prepared datasets, ready for you to dive in and start testing your ideas. 🛰️ Challenge #1 - Emissions from Above: Use satellite data to derive power plant emissions from space! 🔍 Challenge #2 - Anomaly Detection: Help us detect spurious records, whether from calibration issues or intentional tampering. #data #datascience #machinelearning #airpollution #EO #impactfulresearch #CREA https://lnkd.in/dsKqBAUQ
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enabling digital services for Student Loan related activities while maintaining the highest security standard, the most compliant personal data protection and customer-centric data-driven innovation.
📢 Check out this groundbreaking blog post on "Generative Data Assimilation of Sparse Weather Station Observations at Kilometer Scales." The post introduces innovative methods for deep generative data assimilation, demonstrating the viability of score-based data assimilation in a central US testbed. The approach already outperforms a naive baseline, showcasing its potential for accelerating the data assimilation process in operational regional weather models. Don't miss this cutting-edge research! Read the full post here: https://bit.ly/3xr7Qwy. #DataAssimilation #WeatherObservations #InnovativeResearch
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Dive into the latest edition of DataViz Weekly where we turn the spotlight on some of the most compelling data visualization projects we've seen recently: ☀️ Revealing the warming stripe for 2023 — Ed Hawkins, University of Reading 🔥 Analyzing and predicting megafires in Europe — Mariangela Paone, Raul Rejon, Sofía Pérez Mendoza, Raúl Sánchez González, elDiario.es 🔋 Understanding the growing role of giant batteries in electricity grids — Brad Plumer, Nadja Popovich, The New York Times 👥 Analyzing segregation in U.S. schools — The Educational Opportunity Project (EOP) at Stanford University https://lnkd.in/dtfiCy2Q *** #datascience #dataanalytics #datajournalism #dataviz #charts #maps #infographics #segregation #climatechange #batteries #wildfire
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Me and 600 !! 600 - Number of days that I took to finalize my Ideas and Concept. 600 - Number of days that I doubted myself. 600 - Number of days that I thought it cannot be done. 600 - Number of days that I felt lonely and hoping help would come. 600 - Number of days that I was about to give up. 600 - Number of days that I thought I will fail at the execution. 600 - Number of days that I hoped I will write this post. 600 - Number of days that I took to convert a childish dream to reality. 600 - Number of days that I took to realize that this is just the easy part. 600 - Number of days that I took to realize that its time to replace I with We. 600 - Number of days that I took to announce: "With all my heart and courage, I present to you" prithfix space - a space tech services company that uses Geospatial Technology like Satellite Imagery, Remote Sensing and Geographic Information System (GIS) to provide actionable insights helpful to solve complex problems across diversified sectors like Agriculture, Business, Construction, Climate Change, Insurance, Pollution and allied sectors. Comment if you want to discuss potential application or use case in your field of work. Stay Tuned for updates on our offerings.
Space Based Data and Intelligence
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By monitoring soil moisture levels, we can make informed decisions to protect and enhance infrastructure resilience. Whether it’s preventing soil erosion around bridges, ensuring stable foundations for our railways and buildings, or managing water runoff near roads, understanding soil moisture dynamics is essential. Best practices that safeguard our cities' critical infrastructures!
Soil moisture plays a vital role in the management of water resources across diverse ecosystems. That's why we are thrilled to announce the addition of advanced Soil Moisture Insights to our Spire Weather & Climate product suite. Leveraging our space-based satellite data along with open-source data and advanced artificial intelligence and machine learning, Spire Soil Moisture Insights provides a comprehensive view of global soil moisture. Read more:
Spire Global introduces advanced Soil Moisture Insights - Spire : Global Data and Analytics
spire.com
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📣📣 New EU rules make high-value #datasets available to fuel artificial intelligence and data-driven innovation The official portal for European data includes more than 1.7 million datasets from member states, EU institutions and agencies and is the most extensive resource for accessing open data. The high-value datasets will be available for everyone who wants to access them in a free, machine-readable format. EU Digital & Tech These so-called ‘high-value datasets' contain information on six thematic areas laid out in the Open Data Directive: #geospatial, earth observation and #environment, meteorological, statistics, companies and #mobility. Find out more⤵ https://lnkd.in/dubB_D_g ✍ Stay in the loop and subscribe to our newsletter to receive all the latest updates, event news, and opportunities to be involved. You can Register now at the following link: 📬 https://lnkd.in/e2NQk7WG Do not forget to subscribe to our YouTube channel ⤵ 📺 https://lnkd.in/dingfvMy Find out more on CEDAR EU 🔗 https://lnkd.in/dJcV4is6 Centre for Research & Technology Hellas (CERTH) | The Lisbon Council | EU Science, Research and Innovation | European Research Executive Agency (REA) | #DigitalEU #EuResearchArea
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🌍 Great opportunity to learn about the role of #SpatialData in #AppliedScience and innovative solutions for real-world issues impacting our society and planet 📅 Join us on June 6th, 2024, for the Seminar on Spatial Data Science and discover why some locations are more vulnerable to natural phenomena and how numerical tools model and predict these events 🤝 Organized by Instituto Superior Técnico, this seminar reveals how +ATLANTIC combines #SpatialDataScience, #MachineLearning, #ArtificialIntelligence, #EarthObservation, and #RemoteSensing to enhance our ability to predict #GlobalWarming impacts on #CoastalCities and on #MarineHeatWaves 🎤 Hear from Ana Patrícia Oliveira, Rita Cunha, and Inês van Zeller Girão as they present #AppliedResearch outcomes, showcasing how +ATLANTIC supports decision-making and preparedness for extreme temperatures affecting #HumanHealth, #MarineBiodiversity, and #BlueEconomy sectors ✅ Learn more about the event here https://lnkd.in/dBfRiD6T
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Helping you grow through better software | Partner and Co-Founder at Michigan Software Labs | Forbes Technology and Fast Company Executive Board
There’s innovation happening everywhere. Even in the sky. WindBorne Systems in Palo Alto is flying balloons to help collect weather data. Founded by John Dean (age 26) from Stanford University, the company developed long-duration weather balloons that can fly above the open ocean - where traditional balloons can’t. This is being used in weather forecasting and many large tech companies and governments are licensing their data. One of the take-aways for me was to think about the importance of neglected data. Or even difficult to collect data for that matter. Governments and scientists spend more than $10 billion each year on weather forecasting. The data is now available via an API for users. The opportunity was right there all along - above our heads. What are some stories that come to mind when you think of finding undiscovered data?
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🌏 Founder @Geospatial Data Consulting | 🖥️ Data Scientist | 📖 #1 Best Seller Author on Amazon | 🎯 PhD in Network Science | 🎖️ Forbes 30u30 | 👨🏻🏫 LinkedIn Learning instructor
My debut article at Towards Data Science from last September - In this piece, I started exploring the rich open data portal of the Austrian government, focusing on any geospatial data they have on Vienna - and they have plenty! Then, I picked the question of green equality in urban spaces: 𝘋𝘦𝘴𝘱𝘪𝘵𝘦 𝘵𝘩𝘦𝘪𝘳 𝘮𝘢𝘯𝘺 𝘢𝘥𝘷𝘢𝘯𝘵𝘢𝘨𝘦𝘴, 𝘢𝘤𝘤𝘦𝘴𝘴𝘪𝘯𝘨 𝘯𝘢𝘵𝘶𝘳𝘦 𝘢𝘯𝘥 𝘨𝘳𝘦𝘦𝘯 𝘴𝘱𝘢𝘤𝘦𝘴 𝘪𝘴 𝘨𝘦𝘵𝘵𝘪𝘯𝘨 𝘪𝘯𝘤𝘳𝘦𝘢𝘴𝘪𝘯𝘨𝘭𝘺 𝘥𝘪𝘧𝘧𝘪𝘤𝘶𝘭𝘵 𝘪𝘯 𝘩𝘪𝘨𝘩𝘭𝘺 𝘶𝘳𝘣𝘢𝘯𝘪𝘻𝘦𝘥 𝘢𝘳𝘦𝘢𝘴. 𝘚𝘰𝘮𝘦 𝘧𝘦𝘢𝘳 𝘵𝘩𝘢𝘵 𝘶𝘯𝘥𝘦𝘳𝘴𝘦𝘳𝘷𝘦𝘥 𝘤𝘰𝘮𝘮𝘶𝘯𝘪𝘵𝘪𝘦𝘴 𝘢𝘳𝘦 𝘮𝘰𝘳𝘦 𝘦𝘹𝘱𝘰𝘴𝘦𝘥 𝘵𝘰 𝘵𝘩𝘦𝘴𝘦 𝘪𝘴𝘴𝘶𝘦𝘴. 𝘏𝘦𝘳𝘦, 𝘐 𝘱𝘳𝘰𝘱𝘰𝘴𝘦 𝘢 𝘥𝘢𝘵𝘢-𝘥𝘳𝘪𝘷𝘦𝘯 𝘸𝘢𝘺 𝘵𝘰 𝘦𝘹𝘱𝘭𝘰𝘳𝘦 𝘵𝘩𝘪𝘴. 𝐑𝐞𝐚𝐝 𝐭𝐡𝐞 𝐚𝐫𝐭𝐢𝐜𝐥𝐞 𝐡𝐞𝐫𝐞: https://lnkd.in/de_PWN-S 𝐋𝐞𝐚𝐫𝐧 𝐦𝐨𝐫𝐞: https://lnkd.in/dG8SqMEP #datavisualization #datascience #data #datafam #visualization #storytelling
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Very helpful