Seven things every executive should know about Machine Learning | ITProPortal

Do you struggle with building smart applications on top of your data lake? Big Data but not enough insights? Too much talking, not enough walking?

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By |2019-01-18T08:52:38-05:00January 18th, 2019|Categories: Scoop.it|Tags: |

How To Build A Successful Machine Learning Product Like LinkedIn -AIM

With more than 200 million users logging in every month, the task of collecting, handling and serving the data accurately without any latency gets hectic.

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By |2019-01-18T08:45:27-05:00January 18th, 2019|Categories: Scoop.it|Tags: |

Deloitte: Agencies Could Use Natural Language Processing to Derive Insights From Unstructured Data | ExecutiveBiz

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By |2019-06-21T16:29:51-05:00January 17th, 2019|Categories: Scoop.it|Tags: |

13 Industries Soon To Be Revolutionized By Artificial Intelligence

Experts from Forbes Technology Council offer their predictions on which industries are about to be revolutionized by artificial intelligence (AI).

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By |2019-01-17T13:30:11-05:00January 17th, 2019|Categories: Scoop.it|Tags: |

Derive Maximum Value From Artificial Intelligence With A Center of Excellence 

The key to making the most of artificial intelligence is to build the right Center of Excellence (CoE) that supports organizations by driving artificial intelligence initiatives from formulation to execution.

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By |2019-01-17T13:28:54-05:00January 17th, 2019|Categories: Scoop.it|Tags: |

NVIDIA BrandVoice: A New, Faster Approach To Data Science And Machine Learning

Data science is key to a successful transformation into an AI-powered enterprise. GPU-accelerated data science enables a faster method to improve the efficiency of data science initiatives. Learn how RAPIDS, a new data science platform for enterprise, enables an accelerated data science pipeline.

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By |2019-01-15T08:01:10-05:00January 15th, 2019|Categories: Scoop.it|Tags: |

NLP in News Feeds

The amount of news information a person can routinely access these days would have been unimaginable a hundred years ago. But we still have just 24 hours in a day, and only a single pair of eyes to read, and so the question arises: how to get as much valuable news as possible in a limited time?

Sourced through Scoop.it from: syncedreview.com

By |2019-06-21T16:29:51-05:00January 14th, 2019|Categories: Scoop.it|Tags: |