Epazz Holdings’ ZenaDrone Will Use Open AI Predictive Artificial Intelligence Technology in ZenaDrone 1000 Units
Epazz Inc. (OTC: EPAZ) has announced an upgrade to its Artificial Intelligence predictive automation software for the ZenaDrone 1000. This drone technology utilizes machine learning and multi-spectral sensors, aiming to enhance autonomous navigation and deep learning capabilities. The upgrades include using Predictive AI Analytics, allowing the drone to perform aerial missions with reduced human intervention. CEO Shaun Passley emphasized the commitment to enhancing navigation and sensor capabilities for the ZenaDrone 1000, targeting expanded applications in both commercial and military sectors.
- Enhancement of ZenaDrone 1000 with advanced AI capabilities.
- Integration of Predictive AI Analytics improves drone autonomy.
- Commitment to expanding applications in commercial and military sectors.
- None.
CHICAGO, IL, Jan. 18, 2023 (GLOBE NEWSWIRE) -- via NewMediaWire -- Epazz Inc. (OTC: EPAZ), a leading provider of drone technology, blockchain mobile apps, and cloud-based business software solutions, has announced today that it is upgrading its Artificial Intelligence predictive automation software in current and subsequent productions of the ZenaDrone 1000 aerial technology.
ZenaDrone, Inc. is a provider of a multi-functional unmanned aerial vehicles equipped with machine learning systems, multi-spectral sensors, and AI technology.
The ZenaDrone 1000 has successfully garnered positive assessments and influence in several industries, especially in the Agribusiness and Industrial Sectors. This year, Epazz ZenaDrone aims to enhance the artificial intelligence capabilities of ZenaDrone 1000 to include autonomous navigation of unmapped terrains, deep learning algorithms for various actions, and dual-use features to accommodate commercial and military drone utilization.
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 make predictions of future outcomes based on acquired data. Machine learning algorithms, sophisticated mathematics, statistical modeling, descriptive analytics, and data mining are techniques utilized in predictive analytics. Predictive analytics refers to a method rather than a specific technology.
Integrating predictive AI technology in the ZenaDrone 1000 will enhance its autonomous capabilities, allowing the drone to complete aerial missions using real-time acquisition and processing of data to make predictive decisions with less help from human drone operators.
CEO Shaun Passley, Ph.D., commented: "We will upgrade all our current and future drones with predictive AI to enhance the ZenaDrone 1000's navigation, sensors, and autonomous flights. "
Epazz Holdings will prioritize developing the ZenaDrone 1000 by upgrading its AI technology to boost its global reach across industries.
About ZenaDrone, Inc. (https://www.zenadrone.com/)
ZenaDrone, Inc. is dedicated to improving intelligent unmanned aerial vehicle (UAV) technology that incorporates machine learning software and artificial intelligence (AI). It was created to revolutionize the hemp farming sector and later evolved into an intelligent multi-functional industrial surveillance, inspection, and monitoring solution.
About Epazz, Inc. (https://www.epazz.com/)
Epazz Inc. is a leading cloud-based software company that specializes in providing customized cloud applications to the corporate world, higher-education institutions, and the public sector. Epazz BoxesOS™ v3.0 is a complete business web-based software package for small to mid-sized businesses, Fortune 500 enterprises, government agencies, and higher education institutions. BoxesOS™ provides many of the web-based applications organizations would otherwise need to purchase separately. Epazz's other products are DeskFlex™ (room scheduling software) and Provitrac™ (an applicant-tracking system).
SAFE HARBOR
This is the "Safe Harbor" statement under the Private Securities Litigation Reform Act of 1995: Certain statements contained in this press release are "forward-looking statements" within the meaning of the Private Securities Litigation Reform Act of 1995. Forward-looking statements can generally be identified by the use of forward-looking statements such as "may, "expect, "intend," estimate, "anticipate, "believe," and "continue" (or the negatives thereof) or similar terminology. Such forward-looking statements are subject to risks, uncertainties, and other factors that could cause actual results to differ materially from future results or those implied by such forward-looking statements. Investors are cautioned that any forward-looking statements are not guarantees of future performance and that actual results may differ materially from those contemplated by such forward-looking statements. Epazz Inc. assumes no obligation and has no intention of updating these forward-looking statements, and it has no obligation to update or correct information prepared by third parties that are not paid for by Epazz Inc. Investors are encouraged to review Epazz Inc.'s public filings on SEC.gov and otcmarkets.com, including its unaudited and audited financial statements and its OTC markets filings, which contain general business information about the company's operations, results of operations, and risks associated with the company and its operations.
For more information, please contact:
Investor Relations
investors@epazz.net
(312) 955-8161
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