Why annotation services should be outsourced?
Infosearch BPO is a leading provider of annotation services to various industries and businesses across the globe. We provide around 20 different types and techniques of data annotation services including image annotation, text annotation, image processing, data labelling and more.
Outsource your annotation services to Infosearch and there are excellent reasons why organizations would outsource the services of annotation, particularly in enhancing machine learning as well as AI. Here are several reasons why outsourcing annotation services can be beneficial. You can enjoy all these benefits when you outsource your annotation services to Infosearch.
1. Cost Efficiency
Reduced Labor Costs: By outsourcing to such specialized firms of annotation in other regions where cost of labor is cheaper, the expenses are easily cut compared to when a company employs internal annotators.
No Overhead Costs: Hiring services enable companies to avoid some of the more expensive overheads such as wages for full time staff, training, and employee benefits.
2. Scalability
Flexible Resources: Outsourcing can mean easy managing of the amount of annotation depending on project needs and no requirement to employ long-time annotators.
Handling Volume Fluctuations: The wave of large data also presents a challenge during peak seasons where outsourcing firms can raise more resources to effectively manage the large data.
3. Access to Expertise
Specialized Knowledge: Most annotation service providers hire people with domain knowledge so that the results of the annotations are accurate most of the time.
Experience with Diverse Data Types: Outsourcing firms are likely to come across different types of data which include images, text, and audio and therefore, competency in complex annotations.
4. Quality and Consistency
Established Protocols: Professional annotation services providers developed general best practices and policies that should be followed in order to provide high quality annotations.
Multi-Level Quality Control: Most organizations apply rigorous quality control measures which minimize chances of errors in the labeled data.
5. Faster Turnaround Times
Rapid Project Completion: Outsourcing firms are specialized in managing big data in a very short time compared to the time it will take you to do it yourself which is very instrumental in terms of time to market for your artificial intelligence models.
24/7 Operations: Some outsourcing companies are said to operate on a 24-hour basis, therefore, offering the possibility of early completion of annotation work.
6. Focus on Core Competency
Resource Allocation: In order to avoid competing with outside sources in the big data world, outsourcing annotation tasks enables organizations to dedicate their time to, for example, model development and other innovative functions.
Increased Productivity: Annotation can provide an opportunity to spend more time on high value-added activities instead of additional annotation work within a team.
7. Technology and Tools
Access to Advanced Tools: Most of the annotation services involve the application of enhanced instruments and platforms that are used for data annotation and which can help in the improvement of the quality as well as the rate of the task.
Regular Updates and Innovations: Outsourcing companies can maintain their technology information thus avail their clients with the best annotation technologies.
8. Mitigation of Risk
Redundancy and Backup: Outsourcing can offer a certain measure of over-capacity in order to obtain additional resources whether it is in terms of speed if a project is behind schedule, or in terms of human capital if there are problems with in-house staff.
Compliance and Data Security: Outsourcing firms that have been established as reputable usually do have ways of observing the rules set down in protecting data.
9. Diverse Perspectives
Cultural Insights: Working with employees of different specialties is a great benefit in outsourcing since such employees can provide more culturally relevant annotations in case the project is intended for international consumers.
Conclusion
There are potential benefits for organisations who decide to outsource the services of annotation for improvement of their AI and ML projects. By employing the services of qualified and specialized annotation firms, companies can obtain better quality training data, complete projects faster and cheaper, freeing up time and money to be deployed on more strategic business activities leading to better results in the development of their AI projects.
Visit Infosearch BPO website or email to enquiries@infosearchbpo.com to discuss your outsourcing requirements.