Effectiveness of Artificial Intelligence
AI technology has been accompanied by fear and concerns about its implications. However, the original intent behind AI was never to replace humans or instill fear, but rather to serve as a tool to augment human capabilities in various aspects of life. AI was designed to maximize efficiency, reallocate resources, and enhance results for different industries and individuals.
The adoption of AI models by businesses can streamline workflows and enable us to accomplish more, even with limited resources. This becomes particularly crucial in light of the shortage of skilled tech workers. It’s important to understand that AI capabilities have advanced significantly, allowing technical professionals to train AI models to address specific business challenges.
In reality, AI is already prevalent in our lives. Self-driving cars have been a prominent example of AI technology. We also encounter AI in healthcare, finance, retail, and social media. Everyday examples include customer service chatbots, virtual assistants like Siri and Alexa, and shipping logistics.
AI models are readily available from various sources, and the key is to find one that suits your business needs. Once you have identified the right model, you can train it to enhance your business operations. So, how can AI be leveraged in the business world to streamline workflows and improve outcomes?
Business Tool
An excellent example of AI application is forensic video analytics. With the exponential growth of video data, it would be impractical for a person to manually analyze every frame for security or business purposes. However, AI can process video data in a fraction of the time, not as a replacement for humans, but as a tool to save valuable time.
AI was intentionally developed as a crucial technology to advance humanity. Like any other tool, it may have initially evoked fear, similar to fire, which is now a fundamental human tool. AI does not operate independently but rather requires human oversight to augment and enhance human capabilities.
Training AI is essential, and it opens up endless possibilities. While training may seem challenging, it involves teaching the AI how to interpret data and what to learn from it. This learning process takes time, and initial attempts may be incomplete or fail. However, with continuous learning and more data, the AI model strengthens over time.
In the case of video forensics, there’s a distinction between simply having AI sift through footage and training it to perform specific tasks, such as identifying all the blue cars in parking lot videos. By training the AI model with relevant data and specifying desired actions, such as documenting blue car occurrences, it can provide instant notifications, trigger alarms, or communicate its observations.
Moving Beyond Fear and Misunderstanding
The fear surrounding AI often arises from misrepresentation and misunderstanding, which is not uncommon with new technologies. However, AI has been in use for years, even if we may not be aware of it. We already rely on and trust AI. As AI technology becomes more prevalent across industries, finding the right AI model for your business and training it to augment your human workforce and enhance your products and services will become increasingly important.
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