In recent years, generative AI has seen an exponential rise in adoption across industries. Powered by advanced algorithms, vast datasets, and increased computing power, its creative potential is being leveraged for content generation, user personalization, and innovative research. This widespread adoption highlights generative AI’s transformative role and the growing trend of human-AI collaboration.
Read More Generative AI Adoption by Industries: Trends and Statistics
There has been a constant buzz around AI and ChatGPT, the most widely known AI-based content generation tool, for quite some time now. Perhaps you’ve already tried it, or maybe you’re considering taking the plunge. With more than 100 Million active users of ChatGPT alone, there has been an explosion of AI-based content generation tools in the market, including Copy.ai, Writesonic, Copymatic, etc.
Read More How to Scale Content Creation with AI (and Why Human Intervention is Still Required)
Data is crucial for industries today. Data is power, and with the advent of artificial intelligence, it has become even more important. Artificial intelligence operates on algorithms that are prepared with the help of data inputs by humans. As more industries become reliant on AI to perform tasks efficiently with minimal human error, information gathered and processed through data becomes important. Depending on the requirement of the operational usage of this data, enterprises choose to perform the task in-house or hire a data annotation service provider, to suit the need.
Artificial Intelligence & Machine learning today has become critical to innovate products, automate even the most complex tasks and uncover new insights. Computer vision is one such application of AI that is transforming industries that generate massive amounts of visual data with the help of video annotation!
Read More A Complete Video Annotation Guide: Types, Challenges, Opportunities & Much More!
Video annotation is a fantastic innovation that helps machines to recognize objects easily through computer vision. It detects the moving objects in the visuals and makes them recognizable by outlining things frame-to-frame. Video annotation is a perfect blend of human annotators and automated tools that labels the target objects in video footage. This is done to train the machine learning and deep learning models, which are further used for computer vision applications such as automatic video classification tools.
Read More Why Outsourcing Video Annotation Services Is Profitable For Businesses?
Digital content is breaking all boundaries and is emerging as the preferred medium for both students and educators alike. Access to digital content has given students new learning environments, with engaging, interactive and multimedia rich content created in open source formats that can be accessed on any device from anywhere.
Read More Alt Text / Annotation as a Powerful Tool for Accessibility for Visually/Print Impaired