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Environmental & Weather Intelligence: Making Smarter Decisions

Environmental and weather intelligence (E&WI) is a powerful tool that harnesses the power of data and technology to understand and predict the impact of our environment and weather patterns. It’s essentially using artificial intelligence (AI) and data science to unlock insights from various sources to make informed decisions.

Environmental Intelligence

Environmental Intelligence Suite (EIS) the sustainability solution powered by IBM. It’s a cloud-based platform used for monitoring the severe weather condition, wildfires and flooding. Using its dashboard, maps, chart and alert capabilities, customer can monitor the status, performance of the assets and service location from dashboard itself

Following are the industry solutions available as part of IBM’s Environmental intelligence Suite:

  • Crop Yield and Health
  • Airport Weather Operations
  • Vegetation Management
  • Outage Prediction

Weather Prediction

Weather plays very crucial role in our day-to-day life. Weather forecasting helps common people and government body to prepare for the impacts of the changes and to minimize the damages. Knowing the occurrence of storm , earthquake, tornado, heavy rain falls, thunderstorm etc in advance can help in save life of many thousands people , also government can prepare for the necessary livelihood in terms of shelter , food clothes etc. Weather also plays an important role in business intelligence, such as how an power transmission and distribution company mobilizes its crew after power outage, an emergency manager can direct residents away from harm . In agriculture and farming, farmers can track and plan when its best to do plantation . Hence it is very important to have a solution that predict the weather changes in advance and send alert. IBM Weather solution an AI-powered SaaS solution that provides timely and fact-based actionable intelligence to proactively manage the economic impact of severe weather and climate-change events. By using its IoT , geo-spatial ,weather , climate and operational data, one can prevent disruption to critical assets, infrastructure and operation.

Benefits of Environmental & Weather Intelligence

  • Businesses: Reduced Risk : Improve preparedness for extreme weather events that could disrupt operations.
  • Supply Chain Efficiency : Optimize logistics based on weather forecasts to avoid delays.
  • Sustainability : Monitor and reduce environmental impact through data-driven decisions.
  • Governments: Disaster Management : Enhance response and recovery efforts for natural disasters.
  • Public Health : Monitor air quality and weather patterns to predict potential health risks.
  • Infrastructure Planning : Design and build infrastructure more resilient to future weather extremes.
  • Individuals: Increased Safety : Be aware of potential weather hazards and make informed decisions about outdoor activities.
  • Improved Planning : Plan outdoor events with greater confidence based on weather forecasts.
  • Environmental Awareness : Gain a deeper understanding of the environment and its impact on daily life.

Who Uses Environmental & Weather Intelligence ?

  • Energy Companies : Optimize energy production and distribution based on weather forecasts.
  • Agriculture : Monitor soil moisture, predict crop yields, and manage irrigation efficiently.
  • Construction Companies : Plan projects and adjust schedules based on weather conditions.
  • Insurance Companies : Develop risk models and assess potential weather-related claims.
  • City Planners : Design sustainable cities that are resilient to environmental challenges.

Environmental Data

  • Weather : Temperature, precipitation, wind speed, humidity, air quality, etc.
  • Climate : Long-term trends in weather patterns, including historical data and future projections.
  • Natural Resources : Data on water levels, soil health, deforestation, and pollution levels.
  • Biodiversity : Information on plant and animal life, migration patterns, and habitat health.

Weather Data

  • Historical Data : Analyzing past weather patterns to identify trends and predict future events.
  • Severe Weather Warnings : Providing alerts for potential hazards like storms, floods, or heatwaves.

The Power of AI & Data Science

  • Identify Patterns : Analyze vast amounts of data to uncover hidden connections and trends.
  • Develop Predictive Models : Forecast future environmental and weather conditions with greater accuracy.
  • Optimize Decision-Making : Provide insights to help businesses and organizations make informed choices.