Data Annotation in Machine Learning: An Important Prerequisite

Data Annotation in Machine Learning: An Important Prerequisite

Table of Content ● Introduction

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● Outsourcing Data Support for AI/ ML 2 ○ Domain-specific workflows ○ Professional excellence ○ Assured Accuracy ● Conclusion

Introduction

Associating with reputed vendors allows businesses to leverage the combined capabilities of human resources and AI/ML tools. This strategic collaboration enables businesses to achieve different levels of agility and drive greater operational excellence. Implementing AI/ML to data-based processes is a significant undertaking. Besides, fuelling them requires consistent streams of high-quality and precise training datasets, thus leading to the need for data annotation in Machine Learning services

Outsourcing Data Support for AI/ ML

● Domain-specific workflows ● Professional excellence ● Assured Accuracy

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Domain-Specific Workflows The professional providers understand the professional client’s needs, their AI-based The providers understand the model’s use case, and thusmodel’s prepareuse case, client’s needs, their AI-based the training datasets the leveraging and thus prepare trainingthedatasets best-fit tools.

Theytools. tailor leveraging the best-fit Theytheir tailor their operational approach, approach, adhere adhereto tostringent operational stringent security and security protocols, and protocols, maintain high standards high standards of data ofmaintain data confidentiality. confidentiality.

Professional Excellence Creating a training environment similar to the model’s use case requires the experiential expertise.

The external vendors have the potential to create pixel-perfect training datasets with major focus on the quality of the resultant AI algorithm’s predictions.

Assured Accuracy Data collection and processing poses a challenge for several organizations because of a lack of model-behavior understanding, resulting in unsuccessful attempts of developing enhanced training data sets. The external providers prioritize accuracy while creating consistent, high-quality, and precise data streams to accelerate the client’s AI/ML models

Conclusion

The key is ‘right training data’ that adds value to the NLP and computer-vision based models at a large scale ‘consistently’.

Reputed data annotation companies have the potential to deliver quality results, assisting organizations to explore new business opportunities.

2 Research Way, Princeton, New Jersey 08540, USA +1 609 632 0350 info@damcogroup.com https://www.damcogroup.com/data-support-for-ai-ml

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