Generative AI technologies are being suffused into a host of software applications aimed at businesses and consumers alike, and the financial results of all that investment are starting to show up.
A close-reading of Alphabet and Microsoft’s third-quarter results shows that new AI tech is helping some of the world’s biggest companies grow their revenues.
We’re going to cover a lot of positive news today, but the two companies’ reports yesterday engendered varying reactions from investors.
This morning, I want to quickly parse the two tech companies’ earnings through the cloud and AI lens, and then glean what I can from their post-results conference calls.
Revenue from its “Intelligent Cloud” business group rose 21% year-on-year, including going up 29% at Azure, three percentage points better than analysts expected.
The market’s reaction to the two sets of data provides their grading, but we care about the AI-related components that went into the top-line numbers.
The original article contains 377 words, the summary contains 153 words. Saved 59%. I’m a bot and I’m open source!
This is the best summary I could come up with:
Generative AI technologies are being suffused into a host of software applications aimed at businesses and consumers alike, and the financial results of all that investment are starting to show up.
A close-reading of Alphabet and Microsoft’s third-quarter results shows that new AI tech is helping some of the world’s biggest companies grow their revenues.
We’re going to cover a lot of positive news today, but the two companies’ reports yesterday engendered varying reactions from investors.
This morning, I want to quickly parse the two tech companies’ earnings through the cloud and AI lens, and then glean what I can from their post-results conference calls.
Revenue from its “Intelligent Cloud” business group rose 21% year-on-year, including going up 29% at Azure, three percentage points better than analysts expected.
The market’s reaction to the two sets of data provides their grading, but we care about the AI-related components that went into the top-line numbers.
The original article contains 377 words, the summary contains 153 words. Saved 59%. I’m a bot and I’m open source!