Marktechpost

JULY 23, 2023

Tags, highlights, and comments are all simple to use and facilitate collaboration. Together, you can craft a compelling narrative, which you can easily share with coworkers for approval. Automated diarization is also available, with Soni automatically tagging speakers and breaking conversations into paragraphs.

AI Tools 93

AI Tools Natural Language Processing Artificial Intelligence Artificial Intelligence 93

AWS Machine Learning Blog

APRIL 25, 2023

Performing an intelligent search on email interactions with coworkers can help find answers to questions, thereby improving employee productivity and enhancing the overall customer experience for the organization. Add any tags to the index, then choose Next. Amazon Kendra supports a select set of languages with full semantic search.

Natural Language Processing 65

Natural Language Processing NLP Machine Learning Algorithm 65

Marktechpost

JULY 20, 2023

With Mayday, users can stay on top of their schedules with the help of smart tags, FYI events, buffer time, and time windows. Xembly is useful for organizing meetings with coworkers, customers, or business associates. After organizing your pictures, you may look through them based on tags, dates, and locations. Stylized.ai

AI Tools 52

AI Tools Artificial Intelligence Artificial Intelligence AI 52

Marktechpost

JUNE 8, 2023

Doodle With Doodle, you can see when your coworkers have free time for meetings and easily set up a time that works for everyone. In addition to smart tags, FYI events, buffer time, and time windows, Mayday provides several time management tools to help users stay on top of their schedules.

AI Tools 52

AI Tools Artificial Intelligence Artificial Intelligence NLP 52

Snorkel AI

JUNE 14, 2023

The other one focuses a little bit on a tagging model, both of which are transformer-based models and state-of-the-art. If I work in a healthcare space and I am using my Slack to talk to my coworkers about some healthcare stuff, how does the model generalize across domains? PA: That leads me to a question of my own.

Machine Learning 52

Machine Learning Natural Language Processing Data Scientist Computational Linguistics 52

Snorkel AI

JUNE 14, 2023

The other one focuses a little bit on a tagging model, both of which are transformer-based models and state-of-the-art. If I work in a healthcare space and I am using my Slack to talk to my coworkers about some healthcare stuff, how does the model generalize across domains? PA: That leads me to a question of my own.

Machine Learning 52

Machine Learning Natural Language Processing Data Scientist Computational Linguistics 52