Weather Signal, AI-based weather forecasting
| Leverage data through universal platforms such as Tableau
| Agricultural Weather Decision Platform Released Together

Weather data analyzed by AI is expected to be widely utilized in business.

IBM and its subsidiary, The Weather Company, unveiled 'IBM Weather Signals,' an AI-based solution that can predict business performance in response to weather changes, on May 30.

IBM Weather Signals enables companies to proactively adjust their supply chains based on weather data, determine inventory levels and the appropriate staff to manage inventory, and launch promotions tailored to specific weather conditions.

Weather Signal, powered by IBM Watson AI, analyzes a company's operational data and weather data together.

This allows companies to create models that show the correlation between weather conditions such as temperature changes, perceived temperature, and humidity in a specific area and business performance such as sales of individual products.

This information can be widely applied to business operations, including supply chains.

For example, if the clothing industry predicts that the heat will arrive earlier than usual, it may bring forward the release and promotion of new summer products. Tourist attractions and amusement parks can adjust the number of staff or plan promotions such as admission discounts by predicting the number of tourists based on perceived temperature and humidity.

IBM Weather Signal data can be leveraged through general-purpose platforms such as Tableau.

Businesses can easily integrate weather data into their business planning processes without having to build complex analytics solutions.

You can also create models that measure the correlation between weather and business performance within the context of your overall business forecasting plan, all within an intuitively structured dashboard environment.

IBM Weather Signals has applications across a wide range of industries, but is particularly valuable in weather-sensitive industries such as retail, consumer goods, services, entertainment, travel, and transportation.

Along with this, IBM also unveiled the 'Weather Decision Platform for Agriculture'.

The platform leverages AI, local weather data, and IoT data to provide farmers with information on sowing, plowing, planting, pesticide spraying, and crop harvesting times.

Since acquiring The Weather Company in 2016, IBM has been helping companies in various industries, including travel, transportation, and logistics, reduce weather-related costs.

Innovative services like Weather Signals and Agricultural Decision Platforms enable businesses to leverage weather data for predictive business considerations.

“Most companies know that weather affects their business, but they rely solely on general past weather data to predict the future,” said Kim Jong-hoon, executive vice president and general manager of IBM Korea’s Cloud and Cognitive Software business."All of them," he said.

He continued, “Weather Signal can provide months in advance information on how real-time weather changes in a specific area will impact businesses, and companies can reap economic benefits worth billions of won through this weather forecast information.”