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For as long as AI technology has been part of the larger technological narrative, fear was also part of this conversation. Part of that is simply the common and pervasive fear of the unknown – we don’t know exactly what implications this technology will have in the long term, and most people don’t understand what the technology is capable of. However, contrary to these existing fears, AI was never intended to be something to be feared or to replace human labor, but rather was created to be a tool to augment humans in all aspects of life, from work to home and everywhere in between. two.
AI is already everywhere around us
AI was developed to serve every industry (and every individual) to maximize results, reallocate existing resources, and ultimately increase efficiency for all. As businesses adopt AI models, it will help streamline workflows and allow us to get more done, even when resources are limited. Moreover, with the shortage of skilled workers in technology remains a relevant question, AI is more critical than ever. What’s important to know is that with massive advances in AI capabilities, technical professionals can “train” your AI to work better to solve and respond to your business challenges. unique.
In fact, AI is already Everything around us. One of the biggest tech stories of the last year was about AI: autonomous driving cars. We are also seeing AI gain prominence in healthcare settings, the financial sector, retail spaces and, of course, social media. Here are some simple, recognizable examples of how people are already using AI in their daily lives: customer service chatbots, our friends Siri and Alexa, and shipping logistics.
AI models are also readily available from multiple sources, the key is to find one that works and best applies to your business needs. Once you find the model that works best for you, you train them to specifically increase your business. So how can the business world use AI technology to streamline workflows and boost results?
AI for Business: A Carefully Cultivated Tool
A very applicable example is in forensic video analysis. Video data is one of the biggest categories of data growth globally and as such, it would take a person countless hours to go through video footage and document everything important, whether it is used for security, loss prevention or other business needs. However, going through video data takes AI a fraction of the time – not to replace that human, but as a tool we can use to not waste our precious time on a menial task.
AI was not developed by accident, but rather as a key piece of technology integral to human progress. AI was intentionally and carefully designed, like all tools meant to propel us to the next level, and the tools we take for granted were scary when they were first invented. Take fire, which is arguably the most important tool created by humans – fire is frightening when left unattended. Like fire, however, AI does not operate without human oversight, but rather with careful cultivation to increase and improve human work capacity.
AI requires training, and that’s what makes the possibilities it offers as a tool endless. Training AI may seem like a vague and difficult task, but it’s quite simple: to train your AI, you teach him to interpret the data and what you want it to learn from that data. This will not happen instantly, but rather follows the pattern of all learning, and while it may fail or be incomplete at first, it will strengthen over time with more and more learning and data.
With our video forensics example, there’s a difference between just having the AI sift through footage and having the AI intentionally sift through footage with a goal in mind, like asking it to find all the blue cars in your parking lot video footage. To train your AI for this specific task, you’ll show it the type of data it’s interpreting, and then tell it what you want it to do with that data. In this case, you can just have it document every time a blue car appears, but on the road, you can have it notify you instantly, sound an alarm, or otherwise communicate upon seeing a blue car.
Beyond the fear of the unknown
The fear of AI is largely due to misrepresentation and misunderstanding, which is not uncommon when it comes to new technologies. However, AI has been around for years, whether we see and realize it or not, which means we already use and trust AI. Finding the model of AI that works for your business and training it to perform tasks that augment your human workforce and improve your products and services will become more important as the technology becomes more pervasive across industries.
Plamen Minev is CTO, AI and Cloud at Quantum.
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