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The North Face improves omnichannel experience increasing customer …


Byjanhavi
01/26/2019

The North Face leverages IBM’s Watson as a personal shopping assistant in their online shop to recommend products in natural language based on qualifying questions about location, temperature, among other factors.

Big River Steel reduces cost of outbound transportation …


Byjanhavi
01/26/2019

Big River Steel has implemented Noodle.ai's enterprise AI solution aiming to optimize operations at the company's new metal recycling and steel production facility in Arkansas. Using machine learning models, the company is able to reduce outbound transportation costs while optimizing delivery windows for its customers.

AstraZeneca improves internal management of its global data …


Byjanhavi
01/25/2019

AstraZeneca implemented an AI-powered platform to extract information and automatically classify both its internal and external knowledge resources in order to aid information search and research and development efficiency within the company.

Facebook enhances buyer and seller interactions on Marketplace …


Byjanhavi
01/24/2019

When buyers and sellers interact on Facebook's Marketplace, they are supported by the company's chatbot, M. The automated assistant can provide information on an item's availability, suggest alternatives or translate messages. The company has disclosed that their system has been trained with a focus on recognizing intent using different neural net models and entity extractors.

Shell plans to automate information extraction from internal …


Byjanhavi
01/23/2019

Shell intends to implement Maana's knowledge management tools to compile and analyse a variety of company data in order to address specific problems, such as engineering research and health and safety incidents. Unstructured data in internal company documents is analysed and natural language processing is used to extract information.

Dataminr's alerts its customers in real-time about events …


Byjanhavi
01/23/2019

Dataminr's AI platform analyses hundreds of millions of tweets everyday and classifies them against 30 rules and uses a proprietary classification system to build connections among thousands of companies, tickers, brands, and subsidiaries. They are able to notify customers several minutes before the news breaks out.

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