With more than 100 million users registered on its platform, Amazon knows what Indians buy and how one region differs from another. The key driving this know-how is data, which is propelled by the company's machine learning (ML) initiatives. These measures will lay the foundation of artificial intelligence-based shopping in the future.
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At Google’s annual developer conference I/O 2018, the audience watched in amazement as CEO Sundar Pichai played out the recording of a real conversation between Google Duplex, the company’s personal assistant and a hair salon employee. Instructed by the user, the assistant had placed a call to the salon to book an appointment. What was …
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These practices have the potential to address limitations in managing your current setup while transforming your process in a way that allows you to both meet service-level targets today and create scalability for tomorrow.
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We're likely to see natural language processing (NLP) reach a level of advancement in 2019 that finally makes more complex applications look both possible and appealing.
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Data science is rapidly changing. Advances in AI and machine learning mean that data can be applied in brand new ways to modeling systems to do much more.
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We look at the key ways in which machine learning programming dramatically differs from conventional computing.
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Facebook open-sources PyText to help developers build and deploy natural language processing systems.
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Another year has passed and humanity, for better or worse, remains in charge of the planet. Unfortunately for the robots, TNW has it on good authority they won’t take over next year either. There’s always 2020. In the meantime, here’s what the experts think will happen in 2019: Here be gadgets Not here exactly, but …
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Discover the benefits and skepticism surrounding AI in customer service and learn about the push for natural language processing (NLP) and chatbots.
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