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Who is bigger Microsoft or IBM?

Who is bigger Microsoft or IBM?

Results were generated by 3055 employees and customers of IBM and 2531 employees and customers of Microsoft. IBM’s brand is ranked #105 in the list of Global Top 1000 Brands, as rated by customers of IBM….IBM vs Microsoft.

54\% Promoters
21\% Passive
25\% Detractors

Which of the following companies have developed hangout Microsoft Google IBM Apple?

Answer Expert Verified Hangout is an instant messaging and video chat platform developed by GOOGLE.

What company is worth more Google or Apple?

Apple (ticker: AAPL) is still the world’s most valued company, at $2.249 trillion, followed by Microsoft (MSFT) at $2.024 trillion. Amazon (AMZN) is valued at $1.74 trillion, Google-parent Alphabet (GOOGL) is at $1.67 trillion and Facebook (FB) is now worth $1.008 trillion.

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What do you like most about Microsoft and IBM?

Microsoft: Microsoft has re-invented itself with it’s AI research and projects. AI has literally made Microsoft a leading player in AI and has demanded newfound respect from the developer community, especially in North American markets. IBM: I feel the same way about IBM as I do with Microsoft.

Does Apple have a future in AI research?

But their recent efforts seem to have been less ambitious than at FAIR or DeepMind. Apple is not a player in the AI research circuit because they have a very secretive culture. You simply cannot do leading-edge research in secret. If you can’t publish, it’s not research. At best, it’s technology development.

Why did Apple make it so easy to switch from Windows?

Apple made it easy to stick with my switch, because the MacOS and Mac hardware became best-of-class during that period—and lots of people discovered, as I had, that the Windows ecosystem was giving them more trouble than it was worth.

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Is Google ahead in the deployment of deep learning in products?

But their recent efforts seem to have been less ambitious than at FAIR or DeepMind. Google (through Google Brain and other groups) is probably ahead in the deployment of deep learning in products and services, because they started earlier than everyone and because they are a very large company.

https://www.youtube.com/watch?v=k2TiUhDFqj0