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"We can not comment on sizing, but I think what's probably more important to us is not sizing, but the quality of the partners," said Maa, explaining that Microsoft can help start -up aged 6 are currently today. "
Grab is already supported by a number of leading companies, including SoftBank, Toyota and China's Didi Chuxing.
The company is present in eight Southeast Asian countries. It offers mobile phone services, food delivery, mobile payment and financial services. Earlier this year, Grab acquired Uber's regional operations and therefore faced regulatory oversight in several markets.
Maa explained that Grab will use Microsoft's investment to enhance the safety and user experience.
As part of the deal, the South Asian company has announced that it will work with the technology giant to develop new verification methods for passengers and drivers using facial recognition technology incorporating artificial intelligence with the potential to improve user security.
Grab plans to use technologies and data analysis services, fraud detection, machine learning and artificial vision from Microsoft to customize the experience of the company. user. Passengers will also be able to book rides directly through the Microsoft Outlook application, the companies said.
"Microsoft's position in this area lies in the machine learning and AI platforms developed by Microsoft that will enable us to develop these services," he said.
Microsoft sees artificial intelligence as one of its top priorities and wants to make it accessible to all. Earlier this year, at his big developer conference, he showed what life would look like in an AI-infused world. The company hires engineers to work on the design of AI chips for its Azure Cloud division, and in recent months has launched two start-ups in artificial intelligence: Bonsai and Lobe.
Johnson told CNBC that investing in artificial intelligence will remain a priority for the company.
"In particular, we are looking for tools to facilitate artificial intelligence so that customers like Grab, with whom we work, can implement it without the need for a team of data specialists," she said. adding: "We are looking for tools in this area and we will continue to focus on it".
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