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What are the Benefits of Data Annotation?

Smart Data Collective

Machine learning and artificial intelligence (AI) have certainly come a long way in recent times. One extremely innovative and far-reaching advancement can be seen in the form of an annotation tool platform (such as that which is offered by Kili Technology). What is the relation of data and image annotation to machine learning?

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How AI Can Improve Your Annotation Quality?

Smart Data Collective

We have mentioned that advances in Artificial intelligence have significantly changed the quality of images recently. One development that AI has led to is the growth of image annotation. Image annotation is the act of labeling images for AI and machine learning models. This will reduce inconsistencies and errors in annotations.

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Equinix goes partner prospecting with AI

CIO

Building an innovative, intelligent AI-based prospecting engine for our channel program was the perfect use case that enabled us to combine the power of AI technology innovation, build competitive market differentiation for the company, and help improve the experience for our customers and our channel partners.”

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Data Labeling Improves Machine Learning & AI Efficiency

Smart Data Collective

Taking the world by storm, artificial intelligence and machine learning software are changing the landscape in many fields. This process is important if you want to improve data quality especially for artificial intelligence purposes. Simply put, data labeling involves annotating data to instruct a model on how to do the same.

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Tackling Bias in AI Translation: A Data Perspective

Smart Data Collective

The world of artificial intelligence (AI) is constantly changing, and we must be vigilant about the issue of bias in AI. This bias can emerge due to multiple factors, such as the training data, algorithmic design, and human influence. Types of Algorithmic Bias Algorithmic bias can manifest in several ways within AI translation systems.

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The Future of AI: High Quality, Human Powered Data

Smart Data Collective

Artificial Intelligence (AI) has significantly altered how work is done. Artificial Intelligence, in turn, needs to process data to make conclusions. How Artificial Intelligence is Impacting Data Quality. Many believe that AI will replace human intelligence, which is not far from the truth. Elimination of Human Mistakes.

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ChatGPT disruption: AI’s evolving vision renews need for trusted, governed data

CIO

Access to artificial intelligence ( AI ) and the drive for adoption by organizations is more prevalent now than it’s ever been, yet many companies are struggling with how to manage data and the overall process.