Gone are the days when telecommunication was about telephone calls only. Now it's about the information society and how information is delivered to individuals or organizations. This includes network services, voice, mails, messages, digital entertainment, and education.
Retail touches upon every human life on an almost daily basis and has the largest mind share when it comes to the number of purchase decisions we make in a lifetime. Because of technological disruption in retail which had been going on for the past few decades, not surprisingly retail has many forms now with players aggressively searching for new avenues of growth.
AI Bias arises when ML systems discriminate against a particular group of people and thus have the potential to magnify preexisting bias. Example: “Google’s AI-based hate speech detector is biased against black people". AI systems are the norm now and users/consumers interact with them on a daily basis. Example: Netflix, Youtube, All E-Commerce Portals and definitely Social Media.
Over 90% of world data is produced in the last two years alone with 2.5 quintillion bytes being produced every day now. This will keep growing and yet as if this much data was not enough we are up for creating artificial data called synthetic data. What is the notion behind synthetic data, how it is produced, and how is it a viable business model are some of the points we will discuss in this article.
Automatic License Plate Recognition (ALPR) is one of the applications of OCR. When it comes to commercialization, ALPR cannot be sold as a sole capability but is one among many features of the entire solution. Depending on the application ( smart city, highway surveillance, cop car, access control, service centers, retail outlet, or commercial parking ) one may use the subset of listed features or can add more.