LXT’s Phil Hall on the 2023 AI Boom, Covering 750 Languages, and ChatGPT
LXT Chief Growth Officer, Phil Hall, on covering 750 languages, emerging competitors, and why he agrees that data-for-AI companies are the shovel providers in a gold rush.
*New* Slator Pro Guide: Translation AI — 10 Practical LLM Use Cases for the Language Industry
data collection
Creative AI Founded to Solve Crowd Management Issues with Data for AI Services
Creative Words announced the founding Creative AI, a new company that offers data collection, annotation, and validation services.
Why Data-for-AI Providers Need a Problem-Solving Mindset
Language service providers Venga Global and e2f along with renowned publisher Oxford Languages discuss data-for-AI services, AI use cases, and supplier recruitment challenges.
Slator 2021 Data-for-AI Market Report
44-page report on the data-for-AI market, guiding LSPs on how to enter and scale in the fast-growing market of creating, collecting, and annotating data for artificial intelligence applications.
A Warning About Data Annotation as a Business From a Man Who Sells AI to AI Firms
Acrolinx Founder Andrew Bredenkamp walked SlatorCon Amsterdam 2019 attendees through AI’s current challenges and his predictions for the next three years.
Machine Translation Key in China’s Data Collection Strategy, Australian Report Says
An October 2019 paper by the Australian Strategic Policy Institute examines how China can employ machine translation tools used by consumers to collect data on users outside the country.
Here’s How Appen Collects the Language Data So Central to AI
Appen CEO, Mark Brayan, speaks at SlatorCon San Francisco 2019 on the expensive, complex, and crucial process of collecting language data for AI.
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