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What miracles can big data create? Not for data but for data!
With the deepening integration of big data technology, future public resources that are in short supply can be allocated more efficiently and fairly. In 1844, Morse sent the first telegram in history: "What miracle has God created!" This invention marked the beginning of telecommunications. Today, as information technology continues to evolve and AI-driven data analysis becomes increasingly powerful, what new miracles can big data bring to our future? During the 2017 China Big Data Technology Conference (BDTC2017), experts from various fields discussed the potential applications of big data in society.
Big data is not just about collecting numbers—it's about solving real-world problems. Many enterprises today showcase impressive dashboards and visually appealing data analyses, but the true value of these datasets often remains untapped. Experts like Professor Zhou Xiaofang, Principal Investigator Liu Tieyan, Professor Qian Weining, and President Zhang Wenxi emphasized that the focus should be on identifying meaningful issues and using data to address them effectively.
Professor Zhou explained that the key lies in understanding the problem first and then determining which data is needed to solve it. Once data is available, it's essential to think creatively and explore new ways to apply it. Collaboration between industry and academia is crucial in this process. Similarly, President Zhang stressed that data should not be collected for its own sake, but rather to enhance existing workflows and drive innovation.
Liu Tieyan pointed out that while data is a valuable asset, it’s not inherently useful. The real challenge lies in extracting meaningful insights through machine learning and intelligent algorithms. Without proper processing, even large volumes of data can be noisy and misleading. Qian Weining compared big data to electricity—once it becomes widely available, it will transform industries and decision-making processes, much like how electricity revolutionized the way we live and work.
Data cleaning is another critical aspect of big data. Professor Zhou highlighted the importance of data quality, including aspects like completeness, accuracy, and consistency. He noted that even with advanced AI, the foundation of reliable insights still relies on solid data management. President Zhang shared an example from Didi, where data verification at each stage helped identify and fix system flaws, ensuring accurate and efficient service delivery.
Liu Tieyan also mentioned that many traditional companies struggle with data management before they even consider AI. He emphasized the need to organize and clean data systematically before applying intelligent solutions. This end-to-end approach ensures that data is properly processed and interpreted, allowing for better decision-making and innovation.
Finally, the discussion turned to the broader impact of big data on people's lives. Experts agreed that as big data becomes more integrated into daily life, it has the potential to improve resource allocation and reduce social inequalities. For instance, big data could help distribute train tickets more fairly during peak times, streamline medical appointments for those in urgent need, and optimize public transportation systems. In the future, these advancements could significantly enhance the quality of life for individuals and communities alike.