Mobile, 36608, AL,
United States
National Weather Service Technographics
Discover the latest software purchases and digital transformation initiatives being undertaken by National Weather Service and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 20 National Weather Service employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that National Weather Service has purchased the following applications: Lilt for ML and Data Science Platforms in 2021, Verint Predictive Experience (formerly Verint ForeSee) for Customer Experience in 2020, Red Hat Enterprise Linux for Apps Development in 2011 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems National Weather Service is running and its propensity to invest more and deepen its relationship with LILT , Verint Systems , Red Hat or identify new suppliers as part of their overall Digital and IT transformation projects to stay competitive, fend off threats from disruptive forces, or comply with internal mandates to improve overall enterprise efficiency.
We have been analyzing National Weather Service revenues, which have grown to $4.0 million in 2024, plus its IT budget and roadmap, cloud software purchases, aggregating massive amounts of data points that form the basis of our forecast assumptions for National Weather Service intention to invest in emerging technologies such as AI, Machine Learning, IoT, Blockchain, Autonomous Database or in cloud-based ERP, HCM, CRM, EPM, Procurement or Treasury applications.
AI Development
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| LILT | Legacy | Lilt | ML and Data Science Platforms | AI Development | n/a | 2021 | 2023 |
In 2021, the National Weather Service began pilots using Lilt to provide AI-powered translation technology for multilingual forecasts, warnings and outreach. Lilt was deployed as an ML and Data Science Platforms solution to automate translation workflows, with initial focus on Spanish and Simplified Chinese for U.S. communities with limited English proficiency.
The implementation integrated Lilt's machine translation capabilities into forecast and alert content pipelines to enable automated translation of storm products and public safety messages. Phase one of an experimental multilingual weather.gov site launched in 2023, representing a staged move from pilot translations to public-facing multilingual content across selected forecast product types.
The program was operated as an experimental pilot with phased rollout across languages and prioritized product types to align with regional outreach needs and emergency communications. The National Weather Service reported that translation time for certain storm products fell by over 83 percent, a result cited as improving regional public-safety communications.
|
CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Verint Systems | Legacy | Verint Predictive Experience (formerly Verint ForeSee) | Customer Experience | CRM | n/a | 2020 | 2020 |
|
PaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Red Hat | Legacy | Red Hat Enterprise Linux | Apps Development | PaaS | n/a | 2011 | 2011 |
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IaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Content Delivery Network | IaaS |
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2016 | 2016 |
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| Date | Company | Status | Vendor | Product | Category | Market |
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