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.
Sourced through Scoop.it from: www.marketingweek.com
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.
Sourced through Scoop.it from: www.analyticsindiamag.com
Facebook open-sources PyText to help developers build and deploy natural language processing systems.
Sourced through Scoop.it from: sdtimes.com
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 …
Sourced through Scoop.it from: thenextweb.com
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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Artificial intelligence and the cloud will be the great disrupters in the database landscape in 2019.
Sourced through Scoop.it from: www.zdnet.com
Artificial intelligence and the cloud will be the great disrupters in the database landscape in 2019.
Sourced through Scoop.it from: www.zdnet.com
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