Drones & the Analytical Age

The Digital Age has given rise of many technological improvements. But there is a shift underway which prioritizes data over technology. The Age of Insights is upon us – and this new future will require new forms of knowledge, understanding and, most of all, leadership. All businesses, both large and small, require effective and efficient business communication solutions in order to continuously meet their customer expectations and attain a competitive advantage, and therefore be successful. Whether a company is large or small it is realized that, the right amount of financing, materials, talent, and experience are not enough to succeed without a good communication system in place that enables smooth transaction sealing.


Communications is at the heart of regional and international integration, with the integration of an efficient, cost effective and technologically advanced Unmanned Aerial System (UAS) is the essential component to businesses success for a variety of market verticals. With the economies of most countries becoming increasingly sophisticated and knowledge-intensive, there is a greater need for the existence of an efficient drone platform and analytical remote sensing software that will enable decision-makers to have access to timely and accurate data to facilitate automated decision-making and transaction sealing.

"We're on the brink of penetrating a lucrative market in a rapidly growing commercial drone service segment" said Ryan Cant - CEO of AirWrx.

The current increase in the number of entrepreneurs, and competition among existing companies providing drone services is "BOOMING". This presents an opportunity for hardware and software leaders. Our products are positioned very carefully. They're of high-quality to ensure client satisfaction, supported by impeccable customer service. AirWrx offers the expertise that a proactive oriented and market-opportunity seeking company needs in order to develop external drone programs and provide insightful data systems.


All of this is a tall order for a young company. In order to maintain a clear leadership role in analytics with a small global presence. We have been innovating both organically and inorganically. In 2015, we began our development of ATLASx, a drone analytics remote sensing toolkit focused on the forestry, agriculture, and environmental market verticals. With our recent global push, we're able to expand our global presence and support our customer base, tap into new and deeply-skilled talent pools, and advance into new industry verticals.


AirWrx CEO Ryan Cant, is often asked, where does AirWrx go from here. The short answer: We will continue pioneering digital possibilities and empowering the world to thrive more sustainably through the use of drones. We’ve spent the last 4 years better understand the hardware and data capture in the enterprise space and build-out the analytics that can be done with aerial data. This has brought great value to our customers as they can complete tasks faster and safer. We are leveraging technologies such as thermal sensors attached to drones to allow our users additional data gathering opportunities. Going forward we will start to expand into third-party data collection sensors so customers can use new analytical tools to gain new scientific insights. This is only the "tip of the iceberg".


Additionally, we look to partner with our customers to drive innovation through the integration of different data streams. For example, imagine the insights you can start to achieve when you integrate the sensors of today with post-geospatial data at a previous point-in-time. All of a sudden you can map together, what is currently happening based on historic events (where and when), which empowers you to take action and improve business results. We will also do more work in the predictive analytics space – leveraging tools and techniques such as adaptive terrain modelling techniques to estimate invasive vegetation. We are integrating state-of-the-art GIS simulation libraries for succession models. We are using deep learning models to identify pests and disease trained on thousands of drone-collected images. All of these things become possible now that we can digitize complex environmental systems.

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