Kampala, 10101,
Uganda
Uganda Wildlife Authority Technographics
Discover the latest software purchases and digital transformation initiatives being undertaken by Uganda Wildlife Authority and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 500 Uganda Wildlife Authority employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Uganda Wildlife Authority has purchased the following applications: Clearspeed for Analytics and BI in 2020, Cloudflare CDN for Content Delivery Network in 2022 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems Uganda Wildlife Authority is running and its propensity to invest more and deepen its relationship with Clearspeed , Cloudflare 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 Uganda Wildlife Authority revenues, which have grown to $100.0 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 Uganda Wildlife Authority 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.
Analytics and BI
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Clearspeed | Legacy | Clearspeed | Analytics and BI | Analytics and BI | n/a | 2020 | 2020 |
In 2020, Uganda Wildlife Authority implemented Clearspeed Verbal to screen rangers and ranger recruits for potential involvement in illegal wildlife poaching. The deployment used Clearspeed, classified under Analytics and BI, to provide voice based risk screening across two remote field locations in Uganda where biodiversity and poaching pressure are significant. The program targeted more than 600 personnel, and field screening was executed in a three day window with final results delivered within 72 hours.
The implementation centered on Clearspeed Verbal and its Remote Risk Assessment RRA technology, combining validated voice analytics, proprietary processing, and large volumes of real world voice data to generate per question and overall risk scores. Screening was conducted via a brief automated phone questionnaire of yes or no questions, with language flexibility, and questions such as Do you personally know anyone involved in the illegal hunting or killing of protected wildlife used to elicit vocal responses for analysis. The solution produced low to high risk level assignments which served as structured signals for subsequent vetting.
Clearspeed personnel were onsite in Uganda for eight days, administering 120 rangers at one remote location and 490 ranger recruits at a second location. Questionnaires were completed using three phones at the ranger site, four phones plus a fifth station using Skype on a 3G mobile phone at the recruit site, and collected voice data was uploaded at the end of each day to Clearspeed data centers for AI powered analysis. The deployment architecture was designed to tolerate field noise and limited connectivity while maintaining centralized analysis in Clearspeed infrastructure.
Operational governance included a preliminary briefing for all participants in which Clearspeed staff explained the questionnaire format and read questions aloud to reduce failed or incomplete responses, and daily briefings with Uganda Wildlife Authority and Rhino Fund Uganda representatives. Clearspeed Verbal outputs were consumed as an additional data source within the organizations ongoing insider threat and vetting processes, enabling low and average risk profiles to be cleared more rapidly unless other indicators existed, while high risk profiles were flagged for targeted follow up based on role and question level risk.
All questionnaire analyses were completed and delivered to UWA and RFU within 72 hours, with each individual provided a complete profile including per question risk ratings, an overall risk rating, and sorting into risk tiers. Clearspeed also trained client staff on accessing and interpreting the summary data, enabling Uganda Wildlife Authority and Rhino Fund Uganda to prioritize investigative resources toward flagged individuals.
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IaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Cloudflare | Legacy | Cloudflare CDN | Content Delivery Network | IaaS | n/a | 2022 | 2022 |
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