AI 

Artificial Intelligence (AI) is bringing drastic changes in technical fields and many businesses, where it can be implemented to automate the system for more efficiency and performance while we are quite unaware of how AI is making daily life easier and simpler than before,  AI and ML require many of Data annotation for tools to get proper results as AI is now being widely used in multiple fields from mobile phones including social media to preventing threats and responding to active attacks in real-time. Accurate system works with efficiency for many businesses. We all are aware of AI and its applications in our daily life nowadays but knowing this tech deeply is something else. AI is the field of study that deals with building machines that can work, think, and react like human beings with help of Data Annotation & Data Labeling

Annotation 

Data annotation is the process of labeling data to make it understandable for machine learning and it’s utmost necessary to have accurate sets for Machine Learning. Data annotation consists, text annotation, image annotation, and video annotation using the various techniques as per the project requirements and machine learning algorithms compatibility. Data annotation is done to create the training data sets for AI and ML. A task of marking and outlining objects and entities on an image and offering various keywords to classify it which is readable for machines. 

AI + Annotation =  Getting accurate results for every Industry 

AI + Data Annotation = Improves the accuracy of data 

AI + Data Annotation = Better quality training data 

AI + Data Annotation = Better results 

Annotation is one of the most initial and important steps in AI

Data Annotation: An initial Step for AI projects 

Accurate data labeling and Data annotation both are very important steps to train the models for AI projects.  As much as annotated data is used to train the machine learning model, the accuracy will be higher in various AI projects. The variety of data sets used to train the machine learning algorithm will learn different types of factors that will help the model to utilize its database to give the most suitable results in various scenarios. With a machine learning algorithm trained with annotated data, only a few characters are needed for sites to be able to produce the desired results of the users.

List of Industries that essentially require

 AI and Data Annotation COMBINATION for Best Results  

Automobile

Manufacturing

E-Commerce

Retail

Healthcare

Financial

Agriculture

Transportation & Logistics

Cybersecurity

Medical Research & Development

Education. 

Entertainment 

Social Media 

So, the AI industry  is spreading Globally but with the major assistance of the Data Annotation and Data Labeling services & 

That makes the Perfect Combination 

Annotate your Data With Learning Spiral

Learning Spiral, with 15+ years of experience with international clients possesses immense domain knowledge under strict NDA and SLAs. We provide skilled professionals for high-quality data annotation/labeling solutions with scalability, flexibility, and high standards of security

One-stop Data Labeling and Annotation Service Provider. Learning spiral, Data Labeling company has the ability to deliver data annotation and data labeling at scale for every AI-based project. We have a rich history of 15+ years of handling sensitive data on a large scale. 

Your Data our responsibility. 

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