Data intelligence industry innovation service media
——Focus on digital intelligence and change business
The strategic value of digital intelligence technology to economic development is increasingly prominent. At the same time, digital intelligence technology itself is developing rapidly, with new technologies and new models emerging one after another, and innovative companies and products are constantly emerging. In order to help everyone better understand the latest development trend of digital intelligence technology, Data Ape and Shanghai Big Data Alliance launched a large-scale topic selection month activity, focusing on specific digital intelligence technology fields every month, carrying out corporate interviews, online live broadcasts, and the latest Inventory of business cooperation value and other activities, and write in-depth articles on the industry.
In July, Data Ape will focus on database and autonomous driving, and cooperate with data center, data disaster recovery, smart energy, audio and video SaaS, and plan a series of media activities.
We are in a new era of unprecedented data-driven, in which the importance of database as the core storage and management system of data is self-evident. However, with the development of technology and business requirements, databases are facing unprecedented challenges and new requirements.
First, the increase in big data and real-time requirements is driving the development of database technology. Traditional database design usually focuses on processing fixed-scale data under given hardware conditions, and today's data volume has far exceeded this scale. In addition, the demand for real-time performance is also increasing. For example, applications such as financial transactions, social media and the Internet of Things (IoT) all require databases to be able to respond quickly and process large amounts of data in an instant. This poses a huge challenge to the storage and processing capabilities of the database.
Second, the increase in diversity and complexity also brings new challenges to databases. With the increase of unstructured data (such as text, images, and audio) and semi-structured data (such as JSON and XML), as well as the diversification of data sources and data formats, databases need to be able to store and process various types of data. In addition, the complexity of data, such as data relevance, time and space, and hierarchy, also puts forward higher requirements for the query and analysis capabilities of the database.
Again, security and privacy issues are also increasingly important. As the sensitivity and value of data increase, how to protect data security and privacy, and prevent data leakage and abuse has become a problem that databases must face. This involves not only database access control and encryption technologies, but also data desensitization and anonymization technologies.
Finally, the development of artificial intelligence and machine learning also brings new opportunities and challenges to the database. On the one hand, AI and ML algorithms require a large amount of data for training and verification, which puts new demands on the storage and processing capabilities of the database. On the other hand, AI and ML techniques can also be used to optimize database performance and management, for example, query optimization, automatic tuning, anomaly detection, etc.
Facing these new demands and challenges, databases are at an important juncture of change. For example, distributed and parallel database technology is becoming a key technology for dealing with big data and real-time requirements; multi-model and multi-value database technology is dealing with the diversity and complexity of data; AI and ML technologies are being widely used in database systems In it, it helps the database self-optimization and self-management, thereby improving the performance and efficiency of the database. In terms of data security and privacy protection, advanced encryption technology, access control mechanism, and data desensitization and anonymization technologies are gradually applied to the database system, providing a strong guarantee for protecting data security and user privacy.
In general, the needs and challenges for databases in the new era are diverse and complex, and database technology is also developing in the direction of distribution, multi-model, intelligence, and security to meet these needs and challenges. We believe that with the continuous advancement of technology, future databases will be more powerful, flexible and intelligent, and able to better serve various applications and businesses.
In order to explore the latest development trend of the industry, the data has planned the monthly topic selection of the database, and systematically sorted out the latest development trend of the database in the form of corporate interview + live broadcast discussion + excellent company inventory + industry in-depth analysis.
Specifically, database topic selection planning covers the following:
❶ Exclusive interview with senior executives of typical representative enterprises in the database field
❷ Online live broadcast of representative figures in the database field
❸ In-depth draft report writing in the database industry
❹ Release the inventory of "2023 China's "Database" Field Most Valuable Enterprises for Commercial Cooperation"
Among them, in the online live discussion, Data Ape will invite industry leaders to conduct in-depth discussions on the theme of "new data requirements, driving rapid changes in database technology".
On the roads of modern society, self-driving cars have become an existence that cannot be ignored. They not only have a profound impact on the new energy vehicle market, but also reshape the operation of the entire transportation system, thereby refreshing our understanding of transportation and travel.
From the perspective of new energy vehicles, the value of autonomous driving is particularly prominent. Autonomous driving technology can greatly improve the energy efficiency of new energy vehicles, such as reducing energy consumption by optimizing route selection and driving style. At the same time, autonomous driving can also solve some problems in the popularization of new energy vehicles, such as the uneven distribution of charging piles and the uncertainty of driving range. It is foreseeable that with the advancement of autonomous driving technology, the experience of using new energy vehicles will be significantly improved, further promoting the development of its market.
Further, autonomous driving technology will have a profound impact on the entire transportation system. In the field of urban transportation, autonomous driving can reduce traffic congestion, improve traffic flow, and reduce traffic accidents. In the field of long-distance transportation, automatic driving can realize 24-hour uninterrupted transportation and improve transportation efficiency. More importantly, autonomous driving may also change our dependence on private cars and promote the development of shared travel, thereby forming a more environmentally friendly and efficient transportation system.
However, the development of autonomous driving technology has not been smooth sailing, and it is currently facing many challenges, such as high-precision maps, artificial intelligence, 5G communications, etc. In addition, autonomous driving also faces issues such as restrictions on laws and regulations, the complexity of the road environment, safety issues, and consumer trust in autonomous driving.
In order to explore the latest development trend of the industry, the data planed the monthly topic selection of autonomous driving, and systematically sorted out the latest development trend of autonomous driving in the form of corporate interview + live broadcast discussion + excellent company inventory + industry in-depth analysis.
Autonomous driving topic selection planning covers the following contents:
❶ Exclusive interviews with executives of typical representative companies in the field of autonomous driving
❷ Online live broadcast of representative figures in the field of autonomous driving
❸ In-depth draft reports on the autonomous driving industry
❹ Release the inventory of "2023 China's Most Valuable Enterprises in the Field of "Autonomous Driving""
Among them, in the online live discussion, Data Ape will invite industry leaders to conduct in-depth discussions on the theme of "autonomous driving, the most valuable but also the most difficult expedition in the automotive industry".
In July, in addition to databases and autonomous driving, Data Ape will also cooperate with Shanghai Big Data Alliance to release corporate inventory in the following fields:
①Inventory of "2023 China's Most Valuable Enterprises in the Field of Audio and Video SaaS"
②Inventory of "2023 China's Most Valuable Enterprises in the Data Center Field"
③Inventory of "2023 China's Most Valuable Enterprises in the Field of "Data Disaster Preparedness""
④Inventory of "2023 China's Most Valuable Enterprises in the Field of "Smart Energy""
Method 1: Identify the QR code below, sign up and view the complete plan for the whole year.
Method 2 : Get in touch directly with the "National Person in Charge" below, and further communicate to obtain detailed declaration and participation materials and business cooperation plans.
