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Better Machine Learning Demands Better Data Labeling

#artificialintelligence

Money can't buy you happiness (although you can reportedly lease it for a while). It definitely cannot buy you love. And the rumor is money also cannot buy you large troves of labeled data that are ready to be plugged into your particular AI use case, much to the chagrin of former Apple product manager Ivan Lee. "I spent hundreds of millions of dollars at Apple gathering labeled data," Lee said. "And even with its resources, we were still using spreadsheets."


Better Machine Learning Demands Better Data Labeling

#artificialintelligence

Money can't buy you happiness (although you can reportedly lease it for a while). It definitely cannot buy you love. And the rumor is money also cannot buy you large troves of labeled data that are ready to be plugged into your particular AI use case, much to the chagrin of former Apple product manager Ivan Lee. "I spent hundreds of millions of dollars at Apple gathering labeled data," Lee said. "And even with its resources, we were still using spreadsheets."


Datasaur, a semi-automated text data-labeling tool, raises $1 million

#artificialintelligence

Datasaur, a company building a text data-labeling platform, today announced it has raised a $1 million seed round from angel investors like Segment CTO Calvin French-Owen. Coming out of stealth today, Datasaur was founded in February 2019 and uses semi-automated labeling and some pretrained models to speed up the data-labeling process and fuel the improvement of natural language processing (NLP) models. Datasaur was founded by Ivan Lee, who has spent the past seven years working as a product manager on AI ventures at companies like Yahoo, most recently for Apple's Siri team. Before working at Apple, Lee sold mobile gaming startup Loki Studios to Yahoo in 2013. As part of the Winter 2020 batch, Datasaur will present next month at Y Combinator's Demo Day in San Francisco.