Smart Data Collective

MAY 31, 2022

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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Smart Data Collective

JULY 1, 2023

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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Smart Data Collective

JUNE 22, 2023

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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CIO

AUGUST 24, 2023

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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Smart Data Collective

JANUARY 29, 2021

So, when you set up a Goal on Google Analytics, and assign a dollar value to your goal, the Analytics algorithm automatically assigns dollar values to the various pages involved in the process of achieving that goal. To set up a custom alert, begin by visiting the “Intelligence Events” section in your Google Analytics reporting section.

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Smart Data Collective

AUGUST 11, 2022

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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Smart Data Collective

MAY 29, 2023

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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