Artificial intelligence has been a steady presence in businesses around the world for quite some time now. The transformative powers and abilities of AI have boosted the ease of business operations as well as the ROI for organizations. Now, edge AI represents the next phase of the technology’s development.
Most filmmakers and authors face a problem commonly known as the sophomore slump while attempting to create a follow-up to their first movie or book. The dreaded slump is associated with the inevitable dip in quality that usually accompanies their second film or novel, especially if the debut effort was genuinely amazing. After all, how do you top something that was (and continues to be) loved by the masses and critics alike? It is hard to improve a project or concept that is near-perfect in every way. A concept that has changed the game with its levels of innovation and ingenuity. In other words, a concept such as artificial intelligence. Despite its few weaknesses, AI continues to have a positive impact on the work quality and productivity in several organizations around the world. Automation on a large scale can be achieved by AI-powered systems in any industry, be it healthcare, national defense, or e-commerce.
So, what is edge AI? It consists of AI models and algorithms that process data locally on a standalone hardware device. In short, AI technology is local, smaller in size, and more accessible for common people. The AI algorithms in such devices use data generated locally for real-time machine learning purposes. The data to be processed locally is sent and received through transmitted signals and sensors on such devices. Such 'endpoint' AI systems do not need to be digitally connected to a cloud for performing tasks and operations locally. Instead, they possess the ability of processing data and making decisions independently. As stated earlier, edge computing, which brings the powers of AI to your personal devices, needs the presence of inbuilt microprocessors and receptors to attain processable data.
Continue reading: https://www.linkedin.com/pulse/edge-ai-next-step-evolution-naveen-joshi/?trk=articles_directory
Most filmmakers and authors face a problem commonly known as the sophomore slump while attempting to create a follow-up to their first movie or book. The dreaded slump is associated with the inevitable dip in quality that usually accompanies their second film or novel, especially if the debut effort was genuinely amazing. After all, how do you top something that was (and continues to be) loved by the masses and critics alike? It is hard to improve a project or concept that is near-perfect in every way. A concept that has changed the game with its levels of innovation and ingenuity. In other words, a concept such as artificial intelligence. Despite its few weaknesses, AI continues to have a positive impact on the work quality and productivity in several organizations around the world. Automation on a large scale can be achieved by AI-powered systems in any industry, be it healthcare, national defense, or e-commerce.
So, what is edge AI? It consists of AI models and algorithms that process data locally on a standalone hardware device. In short, AI technology is local, smaller in size, and more accessible for common people. The AI algorithms in such devices use data generated locally for real-time machine learning purposes. The data to be processed locally is sent and received through transmitted signals and sensors on such devices. Such 'endpoint' AI systems do not need to be digitally connected to a cloud for performing tasks and operations locally. Instead, they possess the ability of processing data and making decisions independently. As stated earlier, edge computing, which brings the powers of AI to your personal devices, needs the presence of inbuilt microprocessors and receptors to attain processable data.
Continue reading: https://www.linkedin.com/pulse/edge-ai-next-step-evolution-naveen-joshi/?trk=articles_directory
