IBM Lin Shiwei: The wisdom belongs to the person, does not belong to the machine!

IBM Software Division http://www.aliyun.com/zixun/aggregation/34599.html > Deputy General Manager Lin Shiwei

The key to big data is people, not systems! For what is truly wise is the decision maker who then makes the judgment, not the machine that produces the information.

We are talking about "the wisdom of the Earth", "The City of Wisdom", then what is "wisdom"? Did the former people have no wisdom? Through experience and knowledge, to analyze the future trend or risk of a thing, than others know earlier, is "wise."

The human starting point is the big data development a very important point. Machines can quickly and efficiently collect structural and unstructured data, run out of analysis, and let us see what the habits of consumers and users are? See the problems we didn't know about? But what really has wisdom is the decision makers who go on to make judgments, not the machines that produce the information.

Big Data gives people wisdom

The logic and definition of "wisdom" is an important watershed in the big Data age.

Like the city of wisdom, we want wise people to be mayors, officials or residents, not "very intelligent" systems; for example, bus booths can predict how long the bus will come, people can arrange time or decide whether to take another class, and wisdom depends on the decisions and practices that people make.

Many policymakers are not incapable of making decisions, but the trade-off between risk and reward rates has relied on individual rules of thumb in the past. Now, we want to let decision makers through the big data analysis, predict the probability that the decision will bring more benefits or more harm, and understand what the different options may be, and people can use this information to become very intelligent.

And if the smartphone has many functions, can solve a lot of things, but if only to dial the phone, "wisdom" has no room to play. Big data examples, missing the wisdom that can be gained from it, is like holding a smartphone but using it to make a phone call.

Big Data helps you find problems and creates alienation

Traditional data warehousing analysis is to find the answer to business needs, but big data is through a lot of data to find problems, find blind spots.

For the layout of big data, IBM attaches great importance to data collection, the ability to collate, analyze, predict, and execute, can from the past behavior, predict the future possible risk, digging out the past you do not know, but already exist facts or problems, so that enterprises to prepare for a rainy day or accelerate innovation, to achieve differentiation, to win customer identification.

Differentiation is not a makeover of the overall reconstruction, but through the analysis of various materials to identify the advantages and niche of enterprises. Each enterprise's core competitiveness is different, creating the difference is not the same. The role of the manufacturer is to hope that the computer operation and analysis to the extreme, so that people can fully do thinking and decision-making.

At the level of consumer experience, enterprises rely on the big data real-time powerful analysis, can provide customers with unique and appropriate services. For example, analyze the relationship between the weather and the sales items for the bakery, and provide the most suitable products in the best time for the customers ' needs. or beauty salon when the customer walked in the door, according to the previous shop information, first sent her like a drink. These added value services, will deepen the customer identity over the cumulative, creating a differentiation of enterprises.

Big Data is not a slogan, it's a vision.

Companies often want to know what consumers are thinking, in order to predict the trend, so that the product brief life cycle can glow heat, popular. The analysis comes from big Data, but companies still have to find the vision, follow the vision, and understand what you want.

IBM over the past decade to acquire more than 35 of the vast volume of data and analysis of the top software, combined with industry expertise and a leading consultancy services, to solve the unique challenges for customers.

Each enterprise's puzzle is unique, and a huge amount of data analysis is used to clarify the vision, and through the prediction of future trends and development to identify competitors have not found the mode of operation, let the operators understand the pros and cons of each strategy. To make better decisions faster.

Lin Shiwei Small File

Current Position: Deputy General Manager, IBM Software Division, Taiwan

Experience: 2000 joined IBM, with outstanding performance, was awarded IBM Asia Pacific Annual Information management products Best Business Personnel Award, Sale Championship Award Best Manager Award.

Education: Soochow University Information Division? Bachelor degree in science and engineering.

(Responsible editor: The good of the Legacy)