Using an analogy between drones and AI as a way to explain that both disruptive technologies have similar patterns.
In 2014, I embarked on my journey into the drone industry with no prior knowledge in the field. Diving headfirst, I learned about airspace rules, aerodynamics, and various challenges like navigating around houses, groups of trees, electric fields, no-fly zones, and military operating areas alongside meteorology and CAA legislation. The deeper I went, the more I observed a lack of education and understanding of drone usage. This was particularly noticeable in my conversations with business owners, risk managers, police officers, and various individuals, where misconceptions and limited knowledge about drones were prevalent, and in some cases, this remains true even now.
This leads some to view drones merely as toys, underestimating their utility. In the film industry, drones sparked a revolution, capable of carrying cameras weighing up to 50kg, this equipment surpasses the capabilities of costly rental machines, offering unparalleled mobility and flexibility to access hard-to-reach locations. Their usage is broad and impactful.
However, it’s become obvious that the drone itself is a flying platform, which, when equipped with the right tools, transforms from a “toy” into a valuable business asset. For example, an insurance company trained their executive team to become drone pilots. This represented just a small step towards exploring further possibilities, such as real-time video streaming for on-the-spot documentation of natural disasters, crucial for insurance claims utilising multispectral imaging technology in drones for precise agricultural surveys, and accurately assessing crop damage following severe hailstorms. This approach streamlines operations, saving substantial travel, time, and costs by replacing physical inspections with immediate data access for quicker, more precise decision-making and accurate loss assessment in insurance claims.
This story is akin to the evolution of AI tools, like ChatGPT, which have become accessible and increasingly integrated into daily life. Operating a drone to improve piloting skills does not necessarily boost productivity; it's merely skill enhancement. Recent conversations with AI experts have broadened my view on its potential, from enhancing safety and mental health to boosting productivity and aiding migrants and refugees. These exchanges also reinforce my commitment to empowering the less fortunate, and helping them harness technology's potential.
The drone pilots’ mantra is to study, fly, err, and learn continuously, adapting to diverse conditions. This journey begins with more affordable drones and progresses to advanced, costly models, each selected to deliver the expected value for clients. In this field, the remote controller is their steering wheel, the boundless sky is their canvas, and the possibilities are limitless. Just as drone pilots choose their equipment based on the task at hand, AI experts select and utilize tools tailored to specific challenges and objectives, always striving to optimize outcomes and push the boundaries of what's possible with technology.
Conversely, a drone operator may be an individual or organization owning or renting drones. They are responsible for the drones’ maintenance and usage, and if not also a pilot, the idea is to bring in an experienced drone pilot to utilize the tool effectively and to mitigate the risk of novice mistakes. For example, flying near structures like concrete and steel poses high risks due to potential signal interference, leading to control issues. A drone losing connection with its controller might activate a return-to-home mode (RTH). However, if it also loses its GPS signal, the drone may hover or land in place. An experienced pilot will check for all obstacles before flying. Many drone accidents occur because the return altitude isn't manually set, causing collisions with buildings or trees. The drone prioritizes speed over safety in its return.
This scenario parallels AI use in business. Just as a drone operator must understand and mitigate risks, so must AI users. The key is to employ AI with a clear understanding of its capabilities and limitations, ensuring that its 'autopilot' doesn't lead your business into unforeseen complications.
The question then becomes: What is your strategy for safely integrating AI into your business without risking a metaphorical 'crash'?
Neither drones nor AI are new, but their public accessibility has transformed their usage. People are finding innovative ways to utilize these tools. The potential future value of drones in various sectors is estimated to be around $127 billion by 2032 (source: dronesurveyservice.com). Similarly, the global Artificial Intelligence (AI) market is expected to grow from USD 168.5 billion in 2023 to USD 2,760.30 billion by 2032, with generative AI alone poised to become a $1.3 trillion market (source: bloomberg.com). The McKinsey Global Institute predicts that over 70% of organizations will adopt at least one form of AI technology by 2030.
Becoming proficient in drone operation or AI requires practice and education. The AI sector, in particular, faces challenges due to a shortage of professional talent. Adopting disruptive technologies like drones and AI requires specific skills and resources. Despite drones using sophisticated sensors, AI, and machine learning algorithms to operate autonomously, there is still a need for human intervention, be it for maintenance, software updates, or to ensure safe and effective use.
Just as you wouldn't let your drone roam uncontrolled in the sky, organizations shouldn't let their data roam unchecked in the cloud.
As a strategic networker, I am passionate about bridging the gap between knowledge and application. I thrive on engaging with top-tier experts who possess the know-how to implement solutions swiftly and effectively. My unique strength lies in identifying and connecting these experts with companies, often uncovering the hidden challenges they face.
Beyond this, I am committed to demystifying technology by presenting it in simple, relatable terms. By using analogies and user-friendly explanations, I aim to transform technology from something daunting into a friendly and accessible tool – akin to a companion we are eager to spend time with, rather than a formidable adversary we are reluctant to engage with.
I want to shift the perception of technology from a threat to an ally, making learning and adaptation an enjoyable journey for everyone.
