Video Player is loading.Play VideoPlayMuteCurrent Time 0:00/Duration 0:00Loaded: 0%Stream Type LIVESeek to live, currently behind liveLIVERemaining Time -0:00 Share1xPlayback RateChaptersChaptersDescriptionsdescriptions off, selectedCaptionscaptions settings, opens captions settings dialogcaptions off, selectedAudio TrackPicture-in-PictureFullscreenThis is a modal window.Beginning of dialog window. Escape will cancel and close the window.TextColorWhiteBlackRedGreenBlueYellowMagentaCyanTransparencyOpaqueSemi-TransparentBackgroundColorBlackWhiteRedGreenBlueYellowMagentaCyanTransparencyOpaqueSemi-TransparentTransparentWindowColorBlackWhiteRedGreenBlueYellowMagentaCyanTransparencyTransparentSemi-TransparentOpaqueFont Size50%75%100%125%150%175%200%300%400%Text Edge StyleNoneRaisedDepressedUniformDropshadowFont FamilyProportional Sans-SerifMonospace Sans-SerifProportional SerifMonospace SerifCasualScriptSmall CapsReset restore all settings to the default valuesDoneClose Modal DialogEnd of dialog window.Close Modal DialogThis is a modal window. This modal can be closed by pressing the Escape key or activating the close button.This is a modal window. This modal can be closed by pressing the Escape key or activating the close button.Share: Facebook LinkedIn Twitter Direct LinkEmbed CodeClose Modal Dialog How do AI companies think about data strategy and competition? Artificial intelligence requires large amounts of quality data, explains Andrew Ng, co-founder of Coursera, describes how AI companies are acquiring, organizing, and using data to create value. Read the article “Notes from the AI frontier: Applications and value of deep learning”