After missing the Mobile, 4 AI scenarios help Microsoft win the world again (2)

Abs: As the peak of the world’s technology companies, whether it will continue to seize the top spot in the world by AI strategy has always been a topic of great concern to the industry. In the past 20 years, the only company that ranked the top ten in the market value of the world’s enterprises, Microsoft, let us analyze its strategic layout in artificial intelligence.

Here is the second article of the series.
Previous article: After missing the Mobile, 4 AI scenarios help Microsoft win the world again (1)

Scenario 1: Cloud – Azure

Please check the previous article: Link

Scenario 2: A comprehensive system platform

To further open and strengthen AI-To-B, in addition to the cloud, Microsoft has built a matrix of powerful system platforms, each of which is a large developer matrix.

The platform currently built by Microsoft is divided into three main levels:

System layer: mainly Microsoft Azure, from storage including big data, hardware to infrastructure coverage, Microsoft makes full use of emerging technologies such as GPU and FPGA to maximize the value of AI’s computing power.

Platform layer: Microsoft provides people who use AI algorithms, including programming languages and various toolkits, to provide them with a complete development and runtime environment. Currently, Microsoft has various tools: ProjectBrainwave, ML.NET, ONNX, OpenPAI. , ToolsforAI, NNI, etc.

The rojectBrainwave released in 2017 can use the FPGA infrastructure on Azure to perform real-time artificial intelligence processing; ML.NET released in 2018 allows any developer to develop their own customized machine learning model and integrate it into it. Going to your own application; OpenPAI, which was acquired this year for $1 billion, provides a deeply customized and optimized artificial intelligence cluster management platform for deep learning, supporting multiple deep learning, machine learning and big data tasks.

At the technology level, Microsoft provides mature AI algorithm supply for developers to use, such as Microsoft’s service, machine learning service and Bot service.

Scenario 3: Azure cognitive, machine learning technology

Based on Azure and the comprehensive system platform capabilities built, Microsoft has formed services including cognitive learning and machine learning.

Azure Cognitive Service

In 2016, Microsoft’s Cognitive Service, which runs on Azure, was officially launched. It currently offers more than 20 services including voice, visual, language, machine translation and other functions. It provides artificial intelligence technology capabilities for developers in the form of APIs. It shows that more than 1 million developers are currently using Microsoft’s cognitive services.

In cognitive services, such as CaptionBot, it can understand and describe a picture like a human; Microsoft OCR can add graphical text recognition to a variety of artificial intelligence applications, including Microsoft from Office, Skype, Bing, HoloLens application.

Azure Machine Learning Service

If you want to summarize machine learning services in one sentence, it is to help data scientists and developers build and train AI models faster, and then easily deploy them to the cloud or edge. Currently, Azure Machine Learning is available to all users. Its core features are full availability, including support for AI frameworks such as PyTorch, TensorFlow, and scikit-learn, tuning for automated hyperparameters, and the ability to deploy to cloud and edge environments.

Scenario 4: Voice interaction, smart office, IOT

Voice interaction

In July 2014, Microsoft officially released Xiao Bing and Cortana to have a prominent role in Microsoft. Microsoft Xiaobing is a voice interactive product, and Cortana is a personal assistant. Compared to Amazon and Apple, Microsoft’s smart voice entry is relatively late, but it has a place in the smart voice market with a differentiated strategy.

In August of this year, Microsoft officially released the seventh generation of Microsoft Xiaobing at the Microsoft Xiao Bing 2019 annual conference. At present, Microsoft Xiaobing single brand has entered 450 million third-party intelligent hardware devices, covering 660 million online users and 900 million. Content audience.

Cortana has chosen Amazon to collaborate with other vendors to collaborate with Cortana and Alexa across the system, allowing users to wake up Alexa for shopping through Cortana, or to wake up Cortana through Echo or other Alexa devices, due to Amazon. Unlike Microsoft’s strengths, the complementarity of this collaboration is obvious.

Based on the intelligent voice technology behind Xiao Bing and Xiaona, Microsoft will also apply it to more scenes, such as intelligent customer service, including smart voice services such as intelligent customer service, voice recording, and simultaneous translation.

Smart office

At present, Microsoft’s AI function has been successfully integrated with products and functions such as Office365, Dynamics365, and Linkedin.

Among them, Dynamics365 is the industry’s first SaaS (Software as a Service) business application that breaks the traditional integration of CRM (Customer Relationship Management) and ERP (Enterprise Resource Planning) functions. It can pass data, intelligence, applications, and devices. Seamlessly, it covers a wide range of industries and applications, and is suitable for high-tech cloud commercial platforms such as artificial intelligence, Internet of Things, and mixed reality.

The data shows that 70% of the world’s top 500 companies use Dynamics365, which proves that Microsoft has a high degree of recognition in the large and medium-sized customer market.


In the current competitive environment, the intelligent edge representing data interconnection and decision-making has become a battleground between enterprises and enterprises. According to IDC, more than 50 billion terminal devices will be connected to the network by 2020, and more than 50% of the data needs to be processed, analyzed and stored at the edge. It can be said that the emergence of edge computing further satisfies the Internet of Things application. demand.

It is this point of view, Microsoft has strengthened the strategic deployment of AzureIoTEdge (Intelligent Edge), it will deploy the core capabilities of Microsoft Cloud to the terminal to achieve edge intelligence, while Microsoft is using 5 billion US dollars to prove their determination to lay out IoT In order to create an IoT ecosystem through this, currently, companies such as Kohler are using the AzureIoTEdge solution to create smart kitchen and bathroom solutions; Dajiang uses it to realize the application of drones in industrial monitoring.

Similarly, Azure’s cognitive services can be extended to AzureIoTEdge. Currently, Microsoft has introduced a custom vision service that allows drones or other industrial equipment to respond quickly and without having to connect to the cloud.

Of course, this strategic layout will also face challenges, such as technology and security. In a survey on its IoT business, almost all companies (97%) will first consider security issues.

to be continued…

next article, Microsoft acquisitions on AI..

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