Smart Data Collective

JULY 1, 2023

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. It involves human annotators using a tool to label images or tag relevant information. The resulting structured data is then used to train a machine learning algorithm.

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CIO

AUGUST 24, 2023

By applying the right data management, propensity-based analytics, ML, and business intelligence tooling, Dangson says his team realized in 2021 that Equinix would be able to analyze data from channel partners and end customers to pinpoint which customers were best served directly via Equinix sales versus indirectly via partners and resellers.

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Smart Data Collective

JUNE 22, 2023

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 Simply put, data labeling involves annotating data to instruct a model on how to do the same. The quality and accuracy of data labeling have significantly improved due to AI and ML algorithms.

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CIO

AUGUST 1, 2022

Federated learning is a method of training AI algorithms with data stored at multiple decentralised sources without moving that data. An HIS or health information system is designed to manage healthcare data. Annotation was already in our PACS system. We used its API for data extraction.

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Alpha Sense BI

JANUARY 5, 2024

Unfortunately, the sheer volume of data most organizations are dealing with, including their own internal content , makes knowledge management a herculean task. Relevancy Algorithm AlphaSense’s advanced algorithm also eliminates noise (i.e., According to assessments by Panopto and YOU.gov , major U.S.

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