Smart Data Collective

MAY 31, 2022

Machine learning and artificial intelligence (AI) have certainly come a long way in recent times. Towards Data Science published an article on some of the biggest developments in machine learning over the past century. A number of new applications are making machine learning technology more robust than ever.

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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. Below are a few of them.

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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. Earlier today, one analysis found that the market size for deep learning was worth $51 billion in 2022 and it will grow to be worth $1.7 Amazon has a very good overview if you want to learn more.

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CIO

AUGUST 24, 2023

Multinational data infrastructure company Equinix has been capitalizing on machine learning (ML) since 2018, thanks to an initiative that uses ML probabilistic modeling to predict prospective customers’ likelihood of buying Equinix offerings — a program that has contributed millions of dollars in revenue since its inception.

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Smart Data Collective

AUGUST 11, 2022

Artificial Intelligence (AI) has significantly altered how work is done. Human labeling and data labeling are however important aspects of the AI function as they help to identify and convert raw data into a more meaningful form for AI and machine learning to learn. How Artificial Intelligence is Impacting Data Quality.

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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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CIO

MAY 10, 2023

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. non-sensitive information) versus what mandates the need for private instances (e.g.,

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