BIG DATA 大数据 英文演讲ppt
大数据英文版
大数据英文版Big Data: Revolutionizing the WorldIntroduction:Big Data has emerged as a game-changer in today's digital era. It refers to the massive volume of structured and unstructured data that organizations accumulate on a daily basis. This data holds immense potential for businesses, governments, and individuals alike. In this text, we will explore the significance of big data, its applications, challenges, and the future it holds.Significance of Big Data:1. Improved Decision Making:Big data analytics enables organizations to analyze vast amounts of data to gain valuable insights. This helps in making informed decisions and developing effective strategies.2. Enhanced Customer Experience:By analyzing customer data, businesses can personalize their offerings, provide targeted marketing campaigns, and improve customer satisfaction.3. Cost Reduction:Big data analytics helps identify inefficiencies and optimize processes, resulting in cost savings for organizations.Applications of Big Data:1. Healthcare:Big data analytics can revolutionize healthcare by analyzing patient data to identify patterns, predict disease outbreaks, and improve treatment outcomes.2. Retail:Big data enables retailers to analyze customer behavior, predict trends, optimize inventory, and offer personalized recommendations, enhancing the overall shopping experience.3. Finance:Financial institutions can use big data analytics to detect fraudulent activities, assess risks, and make real-time trading decisions.Challenges in Big Data:1. Data Privacy and Security:With the abundance of data, ensuring privacy and security is a major concern. Organizations must implement robust security measures to protect sensitive information.2. Data Quality:Big data often consists of unstructured and incomplete data. Ensuring data accuracy and quality is crucial for reliable analysis.3. Scalability:As the volume of data continues to grow exponentially, organizations face challenges in storing, processing, and analyzing this data efficiently.The Future of Big Data:1. Artificial Intelligence (AI) Integration:AI technologies, such as machine learning and natural language processing, will play a crucial role in analyzing big data and extracting valuable insights.2. Internet of Things (IoT):The increasing number of connected devices will generate massive amounts of data. Big data analytics will be essential in harnessing the potential of IoT.3. Predictive Analytics:Advancements in big data analytics will enable organizations to make accurate predictions, forecast trends, and take proactive measures.Conclusion:Big data has the potential to transform industries and revolutionize decision-making processes. Its applications in healthcare, retail, finance, and various other sectors are already evident. However, challenges related to data privacy, quality, and scalability must be addressed. With the integration of AI and IoT, and advancements in predictive analytics, big data will continue to shape the future and drive innovation in every aspect of our lives.。
最新Big-Data-大数据介绍(全英)ppt课件
Why ‘Big Data’ is a big Deal
Big data differs from traditional information in mind-bending ways: Not knowing why but only what The challenge with leadership is that it’s very driven by gut instinct in most cases Air travelers can now figure out which flights are likeliest to be on time, thanks to data scientists who tracked a decade of flight history correlated with weather patterns Publishers use data from text analysis and social networks to give readers personalized news. health care is one of the biggest opportunities, If we had electronic records of Americans going back generations, we'd know more about genetic propensities, correlations among symptoms, and how to individualize treatments.
Main steps in adopting an analytical system
《大数据专业英语》课件—01What Is Big Data
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2.大数据的三V 2.1大量 数据量很重要。对于大数据，必须处理大量低密度、非结构化的数据。这可以是未 知价值的数据，例如Twitter反馈的数据，网页或移动应用上的点击流，或来自有效 传感器设备的数据。这可能是的数十TB的数据，而对其它组织，数据甚至可以达到 数百PB的量级。
参考译文
2.2高速 高速是接收数据并可能以此采取行动的速率很快。一些支持互联网的智能产品实 时或接近实时运行，需要实时评估和行动。
参考译文
4.2预测性维护 可以预测机械故障的因素可能深深地隐藏在结构化数据中，例如设备年份、品牌和 机器型号以及数百万个日志条目、传感器数据、错误消息和发动机温度等的非结构 化数据。通过在问题发生之前分析这些潜在问题的迹象，组织可以更经济地部署维 护并尽量延长部件和设备的正常运行时间。
4.3客户体验 争夺客户无时不在。现在比以往能更加清晰地了解客户体验。通过大数据，可以从 社交媒体、Web访问、呼叫日志和其它数据源收集数据，从而改善交互体验并最大 限度地提高交付价值。开始提供个性化优惠，减少客户流失，并主动处理问题。
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BIGDATA-大数据精品PPT课件
大数据的作用如何
• 谷歌的判断就建立在大 数据基础上：即以一种 特定方式，对海量数据 进行分析，获得有巨大 价值的产品和服务或深 刻的洞见。
大数据的作用如何
• 世界的本质是数据 • 案例1：2009年，甲型H1N1流感爆发的前几周，
谷歌的工程师在《自然》杂志上预测大型流感 传播即将到来。不需分发口腔试纸或调查医生， 他们建立了一个系统，在每天收到的数十亿条 搜索指令中关注特定检索词条（如“哪些是治 疗咳嗽和发热的药物”等）的频繁使用与流感 传播之间的联系，及时判断流感从哪里传出。 而疾控中心要到流感爆发一两周后才能确定。
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大数据背后的价值
衍生于亚马逊、Google等互联网公司
互联网越来越智能 Google精确掌握用户行为、 获取需求
Facebook用户 产生内容，创造 需求。
Google分析用 户搜索信息，满 足用户需求 雅虎提供静态的 导航信息
告诉司机少左转
坐姿提醒你累了
蛋挞搭着飓风卖
错误数据也有用
混乱数据也有用
BIG DATA
分享人：
不知道BIG DATA?
你out了!
大数据
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大数据是什么
除了上帝， 任何人都要用数据说话
Big Data时代到来
在web 2.0的时代，人们从信息的被动接受者变成了主动创造者
全球每秒钟发送 2.9 百万封电子邮件，一分钟读一篇的话，足够一个人昼夜不息的读5.5 年… 每天会有 2.88 万个小时的视频上传到Youtube，足够一个人昼夜不息的观看3.3 年… 推特上每天发布 5 千万条消息，假设10 秒钟浏览一条信息，这些消息足够一个人昼夜不息的浏览16
bigdata精品PPT课件
content
Cases of Big Data What’s Big Data How to Deal with Big Data More Apply on ’Big Data’ Risks of ’Big Data’
Case 1
Target(美国第二大百货商店)knows you are pregnant.
Taobao Index（淘宝指数） Function: for the seller, it’s a free market
adviser; for the customer, it helps make
decisions, grasp the current trends, the shopping tendency and characteristics of the same person.
Case 2
Beer and Diaper(尿布) Revenue had been increased by 30%through bunding sales.
What’s Big Data
Big data is a term applied to data sets whose size is beyond the ability of commonly used software tools to capture, manage, and process the data within a tolerable elapsed time.
characteristics: Volume(数据体量大)、Variety(数据类型
多)、 Velocity(价值密度低)、Variability(处理速
How to deal with Big Data
大数据英语幻灯片
The early years of data revoallenges
Data
privacy access and sharing
Analysis
“what is the data really telling us?”
summarizing the data interpreting defining and detecting anomalies
Big data
Taobao search
definition
definition
Big data is the need for new processing mode to have a stronger decision-making power, insight into the ability to find and process optimization to adapt to the massive, high growth rate and diversification of information assets.
fig. New types of research data about human behavior and society pose many opportunities if crucial infrastructural challenges are tackled.
Part 5 conclusion
Part 5 conclusion
Today data require scientific and computational intelligence. Big Data Future is a free, public, multidisciplinary conference on
大数据英文演讲 Big Data presention
GPS Data from Floating Bikes or Cars (Taxis)
GPS Data from Floating Cars is traced from vehicles equipped with GPS, and stored in text type, covering latitude & longitude, driving period, speed, and direction, etc.
Main application field
Urban function division; Boundaries of cities; Boundaries of commercial district
Volunteered Geographic Information (VGI)
添加标题
VGI generates from emergence of online service platform providing geographical location.
The research of big data in urban studies and planning practices
2017.12.22
Group 6
1 What is big data? 2 Behavior data acquisition and analysis 3 Spatial analysis 4 New methodologies with big data 5 Open research issues
Background
添加标题
Individual behavior and its spatio-temporal variation are main subjects and foundation in urban studies and planning practices. The following will particularly introduce some perspectives about them, as well as the main application fields of different types of big data.
大数据英文版 (2)
大数据英文版Big Data: Revolutionizing the WorldIntroduction:Big Data, a term that refers to the large and complex sets of data that cannot be easily managed or processed using traditional data processing tools, has emerged as a game-changer in various industries. This article aims to explore the significance of Big Data and its impact on different sectors of the economy.1. What is Big Data?Big Data refers to the massive volume of structured and unstructured data that is generated from various sources such as social media, sensors, mobile devices, and more. It is characterized by the five V's: volume, velocity, variety, veracity, and value. The volume of data generated is enormous, and it is generated at an unprecedented velocity. The variety of data includes text, images, videos, and more. Veracity refers to the quality and reliability of data, while value represents the insights and benefits that can be derived from analyzing this data.2. Importance of Big Data:Big Data has become increasingly important due to its potential to provide valuable insights and drive decision-making processes. It has the power to transform businesses, governments, and society as a whole. The key reasons why Big Data is important are as follows:2.1. Improved Decision Making:Big Data analytics enables organizations to analyze vast amounts of data to uncover patterns, trends, and correlations. These insights help businesses make informed decisions, identify new opportunities, and optimize their operations.2.2. Enhanced Customer Experience:By analyzing customer data, organizations can gain a deeper understanding of their preferences, behavior, and needs. This allows them to personalize their offerings, improve customer service, and enhance overall customer experience.2.3. Cost Reduction and Efficiency:Big Data analytics can identify inefficiencies and areas of improvement within processes, leading to cost reductions and increased operational efficiency. For example, predictive maintenance can help prevent equipment failures, saving both time and money.2.4. Innovation and New Business Models:Big Data has the potential to drive innovation and the development of new business models. By analyzing data, organizations can identify emerging trends, market gaps, and untapped opportunities, leading to the creation of new products and services.3. Impact of Big Data on Different Sectors:Big Data has revolutionized various sectors, bringing about significant changes and improvements. Let's explore its impact on some key sectors:3.1. Healthcare:Big Data analytics has the potential to transform healthcare by improving patient outcomes, reducing costs, and enabling personalized medicine. By analyzing patient data, healthcare providers can identify patterns and predict diseases, leading to early diagnosis and timely interventions. Moreover, Big Data can help optimize healthcare operations, supply chain management, and resource allocation.3.2. Retail:Big Data analytics has revolutionized the retail industry by enabling personalized marketing, inventory optimization, and demand forecasting. By analyzing customer data, retailers can provide personalized recommendations, promotions, and offers, enhancing the customer experience. Additionally, Big Data analytics helps retailers optimize their inventory levels, reducing costs and minimizing stockouts.3.3. Finance:Big Data has transformed the finance industry by enabling better risk management, fraud detection, and customer insights. By analyzing financial data, banks and financial institutions can identify potential risks, detect fraudulent activities, and make informed lending decisions. Moreover, Big Data analytics helps financial institutions understand customer behavior, preferences, and needs, enabling them to provide personalized financial services.3.4. Transportation:Big Data analytics has revolutionized the transportation industry by improving efficiency, reducing congestion, and enhancing safety. By analyzing data from sensors, GPS devices, and traffic cameras, transportation companies can optimize routes, predict traffic patterns, and improve fleet management. Additionally, Big Data analytics enables the development of smart transportation systems, such as intelligent traffic lights and real-time public transportation updates.4. Challenges and Future Trends:While Big Data offers immense opportunities, it also presents several challenges. Some of the key challenges include data privacy and security, data quality, data integration, and talent shortage. Organizations need to address these challenges to fully leverage the potential of Big Data.Looking ahead, the future of Big Data seems promising. With the advancements in technology, such as artificial intelligence and machine learning, the capabilities of Big Data analytics will continue to expand. Moreover, the increasing adoption of Internet of Things (IoT) devices will generate even more data, further fueling the Big Data revolution.Conclusion:Big Data has become a driving force in today's digital era. Its ability to analyze large volumes of data and extract valuable insights has transformed various sectors, includinghealthcare, retail, finance, and transportation. By harnessing the power of Big Data, organizations can make informed decisions, enhance customer experiences, and drive innovation. However, addressing challenges such as data privacy and talent shortage is crucial to fully realize the potential of Big Data. As technology continues to evolve, the future of Big Data looks promising, opening up new possibilities for businesses and society as a whole.。
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becoming an important production factor.
Big data: Taobao transaction volume
Fourth: The industrial Internet will drive big data to the ground. Big data is a focus of industrial Internet development, big data can land in traditional industries, Related to the development process of industrial Internet, so in the industrial Internet stage, big data will gradually land, but also will inevitably land.
Gather Data
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Driving route planning
Discount push
speech recognition
search
Interest analysis
out remote diagnosis and treatment .It will help improve the relationship between doctors and patients and alleviate the problem of insufficient quality medical resources.
Third: the big data industry chain gradually formed. After the development of recent years, big data has initially formed a more complete industrial chain, including data collection, finishing, transmission, storage, analysis, presentation and application.
Digital China Construction
Modernization driven by informatization Accelerate the construction of Digital China
Digital China Construction
Fbaestter development
Digital China Construction
Digital China Construction
Fast and efficient development
Digital China Construction
Facing the information society Real time and successful strategy
The use of big data
The arrival of big data, will change the original mode of life, its development will subvert people's existing imagination, like a magician, the imagination into reality, reality may also be beyond the original imagination.
Overview
The Dangers of Big Data • Privacy and security of personal data • Easy to be manipulated • National security interests • Threats to the national economy
Second: Big data to promote the development of science and technology. The impact of big data is not only reflected in the Internet, but also in the financial, educational, medical and many other fields.
Semester ISAS Topic Name:Big Date in China
Semester 1 Class NIIT3
Developed By: Taylor Emma Cecilia Amy
Agenda
• What is big data and its current situation. • The favorable influence of big data in China. • The adverse effects of big data in China . • The future development of big data in China.
Through the above analysis, it can be concluded that the future development space in the field of big data is still relatively large.
Big Data is one of the most potentially dangerous and destructive new technologies to come about in the last century. Big data has the potential to insidiously undermine and subtly (and notso subtly) change almost every aspect of modern life.
Face recognition big
data
Domestic face recognition and big data systems have been far ahead of the world, for example: you drive through a junction, it is estimated that more than a dozen generations of ancestors can be instantly displayed on the screen of the Public Security Bureau. This technology improves the efficiency and convenience of people's lives .
Wisdom health care
The doctor diagnosed the pulse through the air:Using 5G,
b i g d a t a a n d o t h er a d va n添c e加d t标e c h题nol ogy, d o c t o rs c a n c a r ry
Through AI, intelligent algorithm and other technologies
Through cloud computing Distributed processing technology Solve the problem of analysis speed
Another harm of big data is that we may rely on data too much, because "data" is used to count "data". We should realize that data analysis is limited. In the process of data collection, deviation will occur. The success of big data may make us use data analysis in all fields, even rely on data excessively, which is easy to form the obsession of data prediction.
Finally,I want to say that big data is a double-edged sword,which has both advantages and disadvantages. We can’t stop the development of big data,so we need to make better use of it to provide convenience for our life.
பைடு நூலகம்he future of big data
Big data technology is currently in the early stages of application, from the development of big data itself and the trend of industry development, the future prospects of big data is still good, the specific reasons are the following: