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how_ai_companies_can_leverage_managed_workforce_providers_to_boost_training_data_operations

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 processing outputs in-house. On the contrary most use cases could see…

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Blog-1_Data-Tools-2

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 population of more than 2 million, the last 100,000 African elephants alive today are…

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Blog-2_Labeling-Partner

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 surgeries, and all the technological innovations that have been doing the rounds lately….

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Blog-1_Data-Tools-2

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 quality of the data and can have implications on the…

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Predictive-Analytics-in-E-commerce-Blog

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 revolutionizing the e-commerce industry by improving conversions of online…

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Predictive-Analytics-in-E-commerce

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 data sets to make precise predictions of future events using the sciences of advanced…

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Concept-of-Transfer-learning

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 straightforward. It’s importance and value escalated so much that in 2016,…

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AI-i-finance-sector

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 across verticals. One of such sectors in fin-tech services…

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Electronic-Design-Automation-data-science-model

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 reformation is carried out to filter out essential aspects of that…

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Network-Fault-Detection-Using-Machine-Learning

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 clients. Also, as 5G services enter the telecom sector, the CSPs would face renewed…

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