News & Updates

For each and every industry, there are hundreds of different projects, working on different kinds of objects, hence different quality...

The webinar "𝙃𝙤𝙬 𝙞𝙢𝙥𝙤𝙧𝙩𝙖𝙣𝙩 𝙞𝙨 𝙙𝙖𝙩𝙖 𝙡𝙖𝙗𝙚𝙡𝙞𝙣𝙜 𝙩𝙤 𝘼𝙄 𝙘𝙤𝙢𝙥𝙖𝙣𝙞𝙚𝙨?" with guest speakers from Veritone and SETA International successfully happened...

Time: 12:00-12:45pm, NY Time, 25 Jan 2022 Platform: Zoom Meeting Guest speakers: Tom Kriwox - Director of Product Management aiWARE...

Data labeling provides users with greater context, quality, and efficiency across industries. Higher accuracy in predictions: within machine learning algorithms,...

In 2021, healthcare sector captured the largest market share for data collection and labelling and is expected to remain largest...

Labeling raw data is an integral step that aims to create datasets for training machine learning models with data preparation...

In-house: deploying existing data scientists and resources. You have more control over the results which can beef up accuracy and increase...

-The majority of organizations struggling with AI and ML projects say that their biggest problems concern data quality, data labeling,...

Healthcare,By vertical, data collection and labeling emerge as significant part of healthcare industry in 2021. Factor attributed to the growth...

BlueEye is excited to announce our event with honoured speakers from AI Companies: 𝙃𝙤𝙬 𝙞𝙢𝙥𝙤𝙧𝙩𝙖𝙣𝙩 𝙞𝙨 𝙙𝙖𝙩𝙖 𝙡𝙖𝙗𝙚𝙡𝙞𝙣𝙜 𝙩𝙤 𝘼𝙄...