Many of you have been following us for a long time on Croblanc, and you already know that we regularly share new video content from the Youtube channel Bloomberg Television which our community is extremely fond of. And so we decided to share with you today this latest content that might spark your interest.
You're starting to get used to it, each time a new video is released on the Bloomberg Television Youtube channel, we try to offer it to you as soon as possible on our website. We invite you to discover without further delay the video Palmisano: Issue With AI is Responsible Use by going on the player right here!
Big buzz for the moment for this last video of Bloomberg Television, indeed the number of views that the video counts is currently much higher than normal. That's why we imagine that if it continues in this direction, the video could very quickly find itself in Youtube trend.
Thanks to the Internet, it's easy to talk to videographers and ask them any question you have in mind, or even give them criticism (constructive criticism, please!). To talk to a youtuber (that's how we call content creators on the Youtube platform], go directly to his channel, in the "About" section more precisely. If he doesn't answer you, try again on his social networks: Facebook, Instagram or Twitter for example!
Normally, if you are still reading this article, it means that the video Palmisano: Issue With AI is Responsible Use must have pleased you and that we did not make a mistake in encouraging you to watch it. We hope to see you soon on our site, in the meantime you can find other videos of Bloomberg Television by strolling on our site or even by going directly on the Youtube channel.
All good things must come to an end and this article is no exception to the rule! See you later for the next content to discover on Croblanc!
For your information, you can find below the description of the video Palmisano: Issue With AI is Responsible Use published by the Youtube channel Bloomberg Television:
Sam Palmisano, Former IBM CEO explains the importance of setting self-enforceable data standards, and outlines the challenges.
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