How AI Companies Can Leverage Managed Workforce Providers to Boost Training Data Operations
Thought process to discount the use of external workforce for data labeling by technology leaders at any AI/ML company could often be clouded by skewed judgment of having better data process
AI solutions for Pets and Wildlife
The world’s total population of African Elephants decreases by one every 15 minutes. Africa’s illicit poaching trade has made the future of elephants unclear. From a massive popu
Key Factors to find synergy with Labeling Partner
The cloud around Data Labeling and Annotation Partners When we think about AI and Machine Learning, we naturally tend to think of self-driving cars, delivery drones, robot-assisted precision
Choosing the right Data Annotation Tool
Since the performance of your ML model is as good as the data that trains it, understanding the tools used for annotating this data becomes especially important. These tools determine the qu
12 Ways Predictive Analytics is changing the E-commerce Industry- Part 2
Predictive analytics is the use of algorithms on existing data sets to predict future trends or outcomes. In part 1 of this article, we learned what predictive analytics is and how it is rev
12 ways Predictive Analytics is changing the E-commerce Industry- Part 1
Predictive analytics has been around for decades, but its practical applications have only begun to reach the limelight. Predictive analytics is used to extract information from existing dat
An Introduction to Transfer Learning
Lorien Pratt published the first known paper on transfer learning in 1993. Since then, there has been a lot of research in this space. With time, it has made deep learning more str
Use Cases of AI in the Finance Sector
Since its inception, Artificial Intelligence (AI) has come a long way both as a concept and as a technology. Today, AI is an integral part of the most demanding and fast-paced industries acr
Why EDA is Crucial for any Data Science Project?
Exploratory data analysis is one of the best practices used in data science today. EDA is all about using statistical modeling and visualization techniques to reform the available data. The
Network Fault Detection Using Machine Learning
Communication Service providers (CSPs) today are looking at applications of artificial intelligence (AI) in the telecom industry to ensure a seamless service and user experience for their cl
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