In the public perception, the volume of the Internet of Vehicles has been low, and a large wave of propaganda attacks in 2014 has long since gone. But in the eyes of IT companies, the good show has just begun. The concept of speculation is the appearance. Grasping the ground is an instinct. It is the key to taking the right path.
IT vendors and hosting companies are also in no way to educate potential customers that the majority of the public still cannot distinguish between car networking and car internet. But this is not important. What customers need is that smart systems do as much as they can, and they only have to enjoy life. The more trouble a customer is, the less likely the product will be successful.
BAT, which is “sitting big†during the Internet and mobile Internet phase, has already occupied the largest niche. It is almost impossible for all other apps to want to start a platform-level product. Regardless of BAT's own strong R&D capabilities, they only need to “buy and buy†to get rid of almost all startups, who always face the dilemma of cashing in and out of BAT.
In the era of car networking, the situation is a bit different. Although huge, such as BAT, is still keen to release “strategies†and “platformsâ€, startups have seen new opportunities and do not have to wait for the former.
In the three-tier architecture of the Internet of Vehicles industry chain, TSP (TelemaTIcs Service Provider) is the core position of the industry chain. TSP is connected to the car, vehicle equipment manufacturer, network operator and content provider. The role that host companies, telecom operators and IT vendors strive for. In addition to being a platform, BAT has chosen not to hesitate to make products in person. The reason is this.
The car network has not been perfected, giving entrepreneurs more opportunities.
Botai is an active startup. In the past two years, it has cooperated with companies in Baidu, United Electronics, Huawei, NXP and other half of the car networking chain. It can be seen from this road that although Botai is the most active in cross-border cooperation, the cooperation with car companies is “point-to-point†and it is difficult to get strategic cooperation opportunities. Because pure software companies, in the car network layout must not be balanced.
Voice of the entrance to the battleAt the beginning of the voice interaction, only Google Now, Microsoft and Baidu search engines are doing it, aiming to open up the barriers of different language data, achieving global network and full data coverage for global users, and seeking greater advertising benefits. But soon, the entire chain of car networking is aware of the huge application value of voice interaction on the car.
Driving is not convenient for touch operation, and voice becomes an input control method. However, voice interaction is considered to have the potential to become a common "entry" for the intranet, the inter-vehicle and the in-vehicle Internet. Since it is a battle for the military, the resources are quickly assembled in the head company.
The competition for voice interactive platforms in the automotive field has entered the stage of white-hot. The number of products reached double digits, and they all made mobile apps, hoping to influence the user's usage habits. Moreover, our young users have a mobile phone and a car. It is an inevitable choice to cultivate customers from mobile phones.
The correct rate of speech recognition a few years ago is not satisfactory. With the development of artificial intelligence technology, the natural language processing (NLP) and natural language understanding (NLU) engines are becoming more and more mature, and the claimed rate of each family is higher than 95%. Even so, customers are always worried about 5% of the unreliable. The language performance in different contexts is too complicated, and it is necessary to continuously “fill†the training system with data to enhance self-learning ability. The competition for speech recognition has shifted to the competition for super-computing and big data processing capabilities, and the startup's first-hand gestures have been weakened.
In 2014, Amazon's smart speaker Echo based on the Alexa platform went online and opened up third-party development interfaces, resulting in thousands of applications. As a smart home product, it is easy to migrate to the car environment. This is the first mature smart voice product.
Apple's HomePod was late, until February of this year, and was dubbed "the bottom of the box." Relying on the intelligent voice assistant represented by Siri, Apple is aiming at the intelligent interactive port under the Internet of Things (IoT) era. The Internet of Vehicles is only one application scenario.
During this period, Nuance, U.S. Science and Technology News, Sogou Voice, Yunzhisheng, Spirit and other products in the United States have arranged intelligent voice products. In the first Internet car that Ali and SAIC cooperated last year, the Nuance voice interactive system was adopted; Keda Xunfei signed a contract with Qichen yesterday, and signed a series of cooperation agreements with Chery, Changan and BAIC. Then established a joint venture with Volkswagen China.
When the products of the startup company land, BAT is no longer the only way. BAT on the Internet everywhere seems to no longer dominate the entrance to the TSP. However, BAT still operates through capital and attempts to circle its own territory.
Voice is just a tool, what the customer really needs is a smart assistant. The assistant can't just search and push a bunch of messages, but make decisions for the customer, at least to narrow down the options to a small extent. From this point of view, Siri is not a "competent assistant."
With the benefit of voice recognition, Keda Xunfei released the smart car “Flying Fish Assistantâ€, claiming that it can support real-time change of demand, mid-range interruption and sleep wake-up. It seems that the intelligence has improved and can hold all daily urban life scene conversations.
If the assistant is supported by the car, you can control some non-security items through voice: air conditioning, audio, telephone, window lift, etc. Even if the non-critical control is opened, the car companies are hesitant and the steps are small. So that speech recognition companies have not made much progress in this regard.
Tencent, which started slightly later, cooperated with its peers in the field of voice interaction, but the latter did not yet have the strength to challenge the University of Science and Technology. Tencent AI in car ecosystem, launched at the Bo Yue conference, but Tencent said not to operate the system, still seeking to migrate social, do super APP.
Get the car end data, you have to be BATAt this time, BAT can stand up. The "small car system" launched by Baidu World Congress last year is a typical AI interactive system. "Small" built-in functions, intelligent voice assistant, face recognition, fatigue monitoring, AR navigation, HMI, car home interconnection, intelligent security. Smaller is more like the common entrance of Baidu's various business groups.
Ali also offered his Zebra and AliOS systems, emphasizing that the latter is a cloud-based system. It can be updated like the mobile phone system, and it can achieve long cycle life like a car. The secret is to use the computing and storage capabilities on the cloud to greatly reduce the pressure on the car and extend the life cycle of the car hardware.
The problem is that for the intelligent decision-making and control of non-secure devices in the car, it is necessary to get assistance from the car companies. In this way, whoever gets the data from the car company can successfully access the TSP. This curve occupies the TSP port.
Zebra and SAIC reached an agreement that Zebra does not seek to obtain the underlying data of the car, but the big data generated by the user using the AliOS car will be uploaded to the Ali server. The driving map source data is deployed at both ends of the car and the cloud, and Gaode can obtain "interactive information" in the background.
Ali has a stronger bargaining chip and has signed a strategic agreement with SAIC, which is something that entrepreneurs can't do. Moreover, tearing open a hole in the data package that the car company regards as imprisonment. Implement a “offset strategy†for Tencent’s strong social advantage.
It is worth mentioning that Ali intends to use this as a model to talk about data cooperation with car companies. For new energy start-ups, BAT intends to “price†a bit higher in order to obtain all the data. However, there has not been a complete vehicle startup.
The essence of the Internet of Vehicles is to abandon the way of mapping mobile phones. The realization of the intelligent scene must be directly sent out from the car network, and the mobile phone is no longer used as a process node. This is not only more seamless, but also can nurture users into the era of car networking, and then turn to the era of all things connected, then the mobile phone will come to an end.
Tencent is the leading social service provider, and hopes that the car AI in Car will move Tencent's social network to the car in order to highlight its advantages. However, in addition to pointing to what he is good at, Tencent's AI in Car should build a more pure TSP architecture and develop the decision-making assistant function that is more needed in the vehicle environment, instead of simply moving WeChat to the car and achieving more with the car company. Close cooperation, trying to let the latter adopt Tencent's front-end platform in the series.
Investing in AI is investing in car networkingHow to get rid of the phone? BAT has come up with its own platform-level products. Baidu chose Carlife, a mobile phone interconnection solution similar to Apple Carplay; Alibaba chose the NaTIve App route based on Yun OS; with a large user base, Tencent hopes to divide the application into channels, control the user experience, and move toward the Super App. .
Baidu's layout is earlier and more comprehensive, investing heavily in AI, trying to cite the two open platforms DuerOS and Apollo, which cooperate with all car developers. Baidu claims to have more than 70 partners, but most of the first-tier car companies are on the list, but they all avoid the in-depth cooperation. Despite Baidu's determination to do the general operating system + development platform for the Internet of Vehicles, it has also invested a lot of publicity, but as of now, no breakthrough has been made. This is not directly related to Baidu's AI progress, car companies hesitate because of the dominance of dominance.
Ali's own AliOS platform features, AI, application, social and information security cooperation with SAIC, Changan and Shenlong.
Regardless of the super-entry of speech recognition, or the platform, or the data exchange between the cloud and the car, it depends on the development of AI technology. The algorithm training of AI provides a path for the intelligentization of the vehicle and the more realistic customization of the scene recommendation service. The more you understand the user's car network, the more you will be favored and dependent by users.
Cloud computing is the foundation of AI computing power. Ali focuses on getting owners to get smarter services, while Baidu Apollo focuses on the auto-driving field, making the car smarter on the road; Baidu DuerOS is to make the phone's voice interaction smarter.
In the AI ​​field, Ali and Baidu will compete directly. If Google can return to China, it will also become an important competitor. For Tencent, the content and TSP dual-drive, the way of content-light platform is more competitive.
It is worth mentioning that in the "National New Generation Artificial Intelligence Open Innovation Platform" announced by the Ministry of Science and Technology last year, Baidu's intelligent driving platform, Alibaba Cloud's smart city platform, and Keda Xunfei's intelligent voice platform are all directly related to the car network. Only Tencent has obtained the medical imaging AI platform, which is incompatible with the first three. It reveals that Tencent has the need to adjust in the direction of AI strategy (light assets + heavy investment).
With the development of AI, human-computer interaction tends to be simplified (reducing the cost of learning for users). The connection between cars and people, cars and cars, cars and various services will be promoted by AI. The super-entry status of intelligent voice will be consolidated to a greater extent.
Now the global auto industry's total annual plate is about 2 trillion US dollars, and the personal travel market of the future car networking and autonomous driving and new energy technologies will reach 10 trillion US dollars.
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