
Topic > Data Labelling


How AI can ease those data management woes

Generative AI LLMs set to enter the Jurassic-2 era with AI21 Labs

Andrew Ng and Landing AI seek to democratize AI for all company sizes, drive wider industry adoption

5 reasons MLops teams are using more edge ML

What is artificial narrow intelligence (ANI)?

How hybrid cybersecurity is strengthened by AI, machine learning and human intelligence

How to assess your AI projects’ ROI as recession hits

8 MLops predictions for enterprise machine learning in 2023

VB Spotlight
How AI solutions help clinics deliver better care and improve operations

How MIT is training AI language models in an era of quality data scarcity

Adding sentiment analysis to natural language understanding, Deepgram brings in $47M

Snorkel dives into data labeling and foundation AI models

VB Spotlight
How natural language processing helps promote inclusivity in online communities

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Efficient data governance with AI segmentation

Why data remains the greatest challenge for machine learning projects

UserTesting bolstering ML-driven UX testing with $1.3B acquisition by Sunstone, Thoma Bravo

Meta AI announces first AI-powered speech translation system for an unwritten language

4 deep thoughts on deep learning in 2022

Moveworks bets on NLU and ML to help CIOs improve employee experience

The White House moves to hold artificial intelligence accountable with AI Bill of Rights

How open-source data labeling technology can mitigate bias

Unlocking AI at the edge with new tools from Deci

Improving accuracy of computer vision models, Voxel51 raises $12.5M

Ironclad’s new contract platform embeds AI to improve business workflows

What are data scientists’ biggest concerns? The 2022 State of Data Science report has the answers

Foundation models: 2022’s AI paradigm shift
