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Epazz Holdings: ZenaDrone 1000 AI Predictive was Well-Received at a California Airbase

Epazz, a mission-critical provider of drone technology, blockchain mobile apps, and cloud-based business software solutions, announced that ZenaDrone, Inc’s. visit to a California Airbase has led to flight demonstrations and presentations with multiple airbases. Company representatives met with the top military officials to discuss how ZenaDrone 1000 works within their operations. The company is in the process of scheduling and will receive a formal invitation within the next few weeks.

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The company will hand control over to the military pilots to operate ZenaDrone 1000, letting them assess the ease of use and portability of the drone. In addition, company representatives will meet with the maintenance crew to determine how to integrate ZenaDrone 1000 into operations. Flight demonstrations are tentatively scheduled for June, pending completion of the necessary paperwork and regulations. The company is in the process of registering additional drones with the FAA and securing the necessary insurance.

CEO Shaun Passley, PhD, said, “We received amazing feedback on ZenaDrone 1000 and are very pleased to be moving to the next stage with the USAF.”

ZenaDrone Inc. is a provider of a multifunctional unmanned aerial vehicle equipped with machine learning systems, multispectral sensors, and AI technology. ZenaDrone uses the data captured from its cameras to create a 3D interactive environment.

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The ZenaDrone 1000 has garnered positive reviews in several industries, especially in the military, agricultural, oil and gas, wildfire management, and civil engineering industries. This year, ZenaDrone aims to enhance its AI capabilities to include autonomous navigation of unmapped terrains, deep learning algorithms for various actions, and dual use features to accommodate commercial and military drone applications.

The ZenaDrone team will use predictive AI analytics or predictive modeling—a type of analysis that employs methods and resources—to create predictive models and forecast future outcomes based on acquired data. Predictive analytics refers to a method rather than a specific technology. Techniques used in predictive analytics include machine learning algorithms, sophisticated mathematics, statistical modeling, descriptive analytics, and data mining.

Epazz Holdings will prioritize upgrading the ZenaDrone 1000’s AI technology to increase its global reach across industries.

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