How does Google build an "artificial intelligence" empire through mergers and acquisitions?

Google M&A builds "artificial intelligence" empire

The business prospects of artificial intelligence are once again optimistic, and giants such as Alphabet have been laid out, and mergers and acquisitions are one of the main means. The merger of giants in the field of artificial intelligence presents two characteristics: one is to buy multiple times in succession, and the other is to have a smaller scale.

Alphabet has been actively acquired since its inception, with 181 cumulative transactions and 12 artificial intelligence classes (including the acquisition of Alphabet before and the acquisition of DeepMind). M&A is a complex system engineering. In this respect, Alphabet is a successful model. Its strategic planning before mergers and acquisitions, due diligence in mergers and acquisitions, and resource integration after mergers and acquisitions are worthy of reference by Chinese Internet companies.

The giant research artificial intelligence can be divided into three stages, from the research model, to the acquisition of startups into the business department, and the acquisition of startups as flexible small research institutes. Most of China's industrial giants still stay in the model of establishing artificial intelligence research institutes, and also bring opportunities to venture capital institutions of relevant start-ups.

Google M&A builds "artificial intelligence" empire

Google M&A builds "artificial intelligence" empire

Google M&A builds "artificial intelligence" empire

Google M&A builds "artificial intelligence" empire

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