Thomson Reuters Leverages NLP and AI to Enhance Professional Decision-Making
Thomson Reuters utilizes advanced artificial intelligence, specifically natural language processing (NLP) and machine learning, to empower knowledge workers such as attorneys, accountants, and journalists. A prime example is the award-winning 'Hidden Injustice' investigation, where NLP analyzed millions of court documents to uncover sealed records related to the opioid epidemic. This technology supports the core workflow of research, analysis, and decision-making for legal, media, and tax professionals. To further these capabilities, Thomson Reuters sponsors the Vector Institute for Artificial Intelligence in Canada, aiming to stay at the forefront of fundamental research and collaborate on common AI challenges. A key initiative involves a consortium project focused on cost-effectively replicating BERT, a sophisticated language representation model. By developing distributed architectures and efficient algorithms, the company seeks to reduce the substantial computational resources and costs typically required for pre-training large language models. This collaborative approach allows industry participants to advance NLP technologies without compromising competitive advantages, ultimately enabling faster and more accurate business decisions across various professional domains.
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Thomson Reuters Leverages NLP and AI to Enhance Professional Decision-Making
Thomson Reuters utilizes advanced artificial intelligence, specifically natural language processing (NLP) and machine learning, to empower knowledge workers such as attorneys, accountants, and journalists. A prime example is the award-winning 'Hidden Injustice' investigation, where NLP analyzed millions of court documents to uncover sealed records related to the opioid epidemic. This technology supports the core workflow of research, analysis, and decision-making for legal, media, and tax professionals. To further these capabilities, Thomson Reuters sponsors the Vector Institute for Artificial Intelligence in Canada, aiming to stay at the forefront of fundamental research and collaborate on common AI challenges. A key initiative involves a consortium project focused on cost-effectively replicating BERT, a sophisticated language representation model. By developing distributed architectures and efficient algorithms, the company seeks to reduce the substantial computational resources and costs typically required for pre-training large language models. This collaborative approach allows industry participants to advance NLP technologies without compromising competitive advantages, ultimately enabling faster and more accurate business decisions across various professional domains.
Vector Institute for Artificial Intelligence