Cogito is the industry leader in data labeling and annotation services to provide the training data sets for AI and machine learning model developments. All types of AI and ML services requires the training data for algorithms with next level of accuracy making AI possible into diverse fields like healthcare, gaming, agriculture, retail, automotive, robotics and security surveillance etc.
The E-commerce industry has been at the forefront of the transformation in the era of technology — it has reshaped everything from how customers shop… Read More »E-commerce in 2023 — Top 5 Tech Trends that will Reshape the Industry
Data labeling and/or data annotation has long been a critical component of many machine learning and AI initiatives. In recent years, the demand for accurate… Read More »The Impact of Data Labeling 2023: Current Trends & Future Demands
Isn’t it fascinating how our brain processes the vast amounts of information that we receive throughout the day? Our sensory organs convert information into stimuli… Read More »A Practical Guide to Using Computer Vision for Business Growth
Social media is one of the most widely accessible online platforms people use to share their personal views and opinions and express their feelings with… Read More »How does social media content moderation work in the United States?
In order to gauge whether your customers are happy with what you’re doing, customer satisfaction is crucial. It is proven that a high degree of… Read More »Top 5 Key Business Applications of Sentiment Analysis
As artificial intelligence (AI) becomes an increasingly important tool in health care, it offers unprecedented opportunities for improving patient outcomes, reducing costs, and impacting population… Read More »Training Data to Employ AI in Healthcare
It is well known that data science teams dedicate significant time and resources to developing and managing training data for AI and machine learning models… Read More »Annotation Strategies for Computer Vision Training Data
Several hundreds of thousands of raw data files are uploaded by users every day to social media sites. Online user data provides access to an enormous amount of information regarding products, services, places, and events, which makes it suitable for sentiment analysis. Valuable information can be extracted by analyzing the sentiment of the data.
Artificial intelligence (AI) and machine learning (ML) have received widespread interest in recent years due to their potential to set new paradigms in healthcare delivery. It is being said that machine learning will transform many aspects of healthcare delivery, and radiology & pathology are among the specialties set to be among the first to take advantage of this technology.
Individuals’ online opinions published on social media channels, forums, and media publishing sites have become a substantial source to measure the credibility of businesses, institutions, commercial ventures, polls & political agendas, etc.
