Industrial Development
-
Data Finance: Valuation Assessment of the Potential Scale of Data Assetization
The development of China's data factor market is on the road from resourceization to assetization, and the typical feature of data assetization is that data can play its role as a factor of production through circulation in a wider range outside the generating subject.
In terms of specific data asset valuation methods, the main ones elaborated in the existing literature are the cost method, the market method, the income method and the valuation technique method. For the cost method, although it has the characteristics of simple operation and easy landing, it also has the disadvantages of easy underestimation of value and difficult to accurately measure. For the market approach, although it can be more objective, truly reflect the value of data assets, and easy to be accepted by the market, but because of the need to have an open and active trading market, so it is difficult to practice on a wide scale in the short term. For the income approach, although it can better highlight the intrinsic value of the data, but due to the difficulty of reliable measurement of the future earnings of data assets, it is also difficult to land in the operation. For the valuation technique method, although it combines the advantages of fully reflecting the true value of data, not requiring an active market, and not having to accurately measure the future earnings of data assets, it is still in the exploratory stage because it requires a large amount of data on the value of data assets to be obtained in advance to train the model. -
Speed and "Hidden Dangers": The Hidden Crisis Behind the Instant Delivery Industry
State of the Industry Currently, residents' consumption is showing an online trend, and along with the change in the main force of consumption, the demand for instant delivery services is further growing. Data shows that nearly 25% of consumers use instant delivery service more than 10 times a month, and the consumers who use the service monthly...
-
AIGC Artificial Intelligence Safety Report 2024
Significant progress has been made in the field of AIGC (AI Generated Content). However, technological advances always come with new challenges, and security issues in the AIGC field have come to the fore. The report will deeply analyze the security risks of AIGC and propose solutions.
-
Healthcare Industry Cybersecurity Analysis Report 2024
2024 Healthcare faces evolving cybersecurity threats, especially as small healthcare providers and connected technologies become new targets for attacks. Data breaches are widespread and costly. Advances in Artificial Intelligence (AI) and Machine Learning (ML) technologies provide new tools for detecting and predicting cyberthreats, while zero-trust security frameworks and blockchain technologies represent advances in defenses. The regulatory environment continues to evolve, posing new compliance challenges for healthcare organizations, particularly in the areas of telemedicine and third-party vendor risk management. The case studies highlight the importance of adopting a proactive strategy in terms of staff training, technology deployment, and compliance. Going forward, the healthcare industry will need to maintain vigilance and adaptability to cybersecurity threats to ensure secure, continuous care for patients.
-
Spatio-temporal big data and spatio-temporal Internet: new directions for future technological development
Spatio-temporal big data and spatio-temporal Internet are important components of the new generation of information technology with great potential. This paper provides a detailed introduction to spatio-temporal big data and spatio-temporal Internet from the aspects of concept, technology, application and trend, and discusses their significant impact on the development of science and technology.
-
How the next generation of Wi-Fi7 will change our world
The next generation of Wi-Fi 7 is focused on improving reliability, reducing latency and increasing throughput. These improvements will have a significant impact on our world, including:
Improve the quality of virtual reality and augmented reality experiences.The higher speed and reliability of Wi-Fi 7 will make virtual reality and augmented reality experiences smoother and more immersive. This will open up new possibilities in areas such as gaming, entertainment and education. Driving the popularity of telecommuting and learning.The lower latency of Wi-Fi 7 will make telecommuting and learning smoother and more efficient. This will provide greater flexibility and help organizations save money. Accelerate the growth of the Internet of Things.The higher throughput of Wi-Fi 7 will enable IoT devices to transmit more data, thus improving their functionality and efficiency. This will open up new opportunities for growth in areas such as smart cities, smart homes and Industry 4.0. -
Artificial Intelligence Technology Predictions: 2024 Outlook
The year 2024 will be filled with important events and developments in the world of artificial intelligence. Futures expert Daniel Burrus offers a way to predict the future of AI, categorizing trends into "hard" and "hard" trends. And "soft". "Solid trends...
-
Artificial Intelligence Supercomputer JUPITER Coming Soon
The performance of a billion billion floating point operations will change science and technology forever. It could become the world's fastest and most powerful machine, helping to realize many breakthroughs in every field of science, from climate change to quantum physics. The first 10 billion billion billion supercomputer JUPITER ...
-
Gemini: A large model that leads the era of artificial intelligence to surpass ChatGPT is released!
The launch of Google Gemini, a large artificial intelligence model, surpasses chatgpt in all aspects. It is the largest and most powerful artificial intelligence model so far, and it is also the most flexible model so far.
-
Breaking News: National Data Administration discusses data infrastructure for the first time
Promote the construction of data infrastructure and contribute to the development of my country's data industry.