Articles from DTN

DTN, a global leader in data, analytics, and technology solutions serving agriculture, energy, and weather-sensitive industries, today announced the launch of the Hurricane Threat Index. It is the first forecasting tool to expand risk assessment and communication beyond traditional wind speed to include wind damage, storm surge, extreme rainfall, flooding and tornadic activity. The multi-factor index enables companies and communities within the radius of impact to make more confident preparedness and response decisions up to seven days before landfall.

DTN®, continues to deliver market-leading data and intelligence to the agriculture sector with the introduction of EcoField™ data specifically engineered to support the rapidly growing sustainable agriculture space. Agribusinesses and grain traders can tap into EcoField data to help support and expand sustainable farming practices and support ESG-forward production initiatives. The initial data set offers an instant view into field-level sustainable agriculture practices and inputs across 35 U.S. states for 19 grain and pasture types.

DTN®, a global data, analytics, and technology company, has announced a new, first-to-market WeatherFactor API to help freight traders improve pre-voyage planning and better anticipate voyage duration risks. Further expanding its suite of marine data APIs for the shipping industry, the DTN WeatherFactor API blends multiple data sets to make a variety of voyage simulations possible, supporting increased cargo bid accuracy and more reliable cost margin expectations.

DTN®, a data, analytics, and technology company, recently launched Storm Risk Analytics, a first-to-market solution that combines advanced weather intelligence and machine learning outage prediction to help mid-size electric utilities more confidently make incident command and storm impact decisions before, during and after extreme weather events. As part of the Storm Risk suite developed by DTN for electric power providers across the globe, Storm Risk Analytics gives emergency preparedness managers at electric power companies the industry-specific insights of an enterprise solution tailored to their operating regions. More utilities can now confidently anticipate, prepare, respond, and restore service with timely data modeled specifically for critical utility industry planning and response factors.

The USDA announced the first funding pool for the Partnerships for Climate Smart Commodities programs last week which included a $95 million grant for the Farmers for Soil Health Climate-Smart Commodities Partnership. Along with other leading agriculture organizations, DTN collaborated on the successful grant application and will provide technology development and data expertise to help accelerate cover crop adoption and other sustainable farming practices across 20 states.

DTN®, a data, analytics, and technology company, has announced the launch of DTN Agronomy, a comprehensive, cloud-based solution that streamlines farm and field data collection and agronomic insights with in-app communication for agriculture agronomists and retailers. Bringing significant data science capabilities to the new platform, DTN has developed a configurable, yet consolidated view for ag retailers that delivers timely, detailed data that can be interpreted and shared directly from the application.

As extreme weather events increase, so does the risk to public safety and infrastructure. Recently, the New York City Emergency Management Department selected DTN, a data, analytics, and technology company, to provide additional forecast guidance for its severe weather response planning. Under the agreement, DTN will share real-time weather information on storm timing and conditions with NYC Emergency Management’s in-house meteorologist and other stakeholders of NYC Emergency Management’s weather response planning. In addition, DTN Risk Communicators will work side-by-side with NYC Emergency Management to aid the agency’s decision-making.

A new study released today by DTN, a leading data, analytics, and technology provider to the energy sector, shows that two thirds of downstream oil and gas decision makers agree that operational inefficiencies from manual offline tasks and disconnected data negatively impact their profit margin. Those same decision makers admit, by the same margin, that failing to invest in digital modernization is a “significant risk” to the future of their company.