青出于蓝项目(Extreme Blue)是IBM全球专门为学生设计的参与到项目中的实习计划，每年在全球十几个城市启动。
IBMLab精心为学生三个月实习专门设计的创新项目，在七月上旬至九月底的时间里，每个项目有四名实习生（三名技术学生和一名MBA）参与，学生们将针对项目的目标设计出相应的解决方案，IBM将有资深的导师全程为学生们提供技术和商业方面的指导。
2012年将由IBM中国开发中心（CDL），IBM中国系统与科技开发中心（Greater China Systems & Technology Lab）,IBM中国研究院（China Research Lab),大中华区客户中心(GCG Client Center)和金融事业部（Finance Service Sector）精心挑选11个项目，超过40名2013年毕业的优秀学生将有机会加入到这个激动人心的实习计划中来。
欢迎2013年毕业的大学生们（主要招收硕士生）网上报名申请IBM 2012年青出于蓝实习项目：
http://campus.chinahr.com/2012/pages/bluepathway/jobs05.asp
也可以直接将简历发送至：ibmeb@cn.ibm.com, 并在邮件中注明你对哪几个项目感兴趣。
chinahr网站上的职位信息，以下三个项目有更新，以下是更新的内容：
Mobile payment (Social enabled Mobile Payment )Location: Beijing
Along with Cloud Computing, Mobile Computing has also become one of the most significant IT trends. Mobile Payment renovations, including Google Wallet, Paypal Here, Square, Alipay, UnionPay Box etc, start to proliferate. Third party payment providers have played more and more dominant roles in China market (200+ licensed providers already), competing head to head with banks to eat up mobile payment.
Lacking control points in mobile terminals, mobile chips (SIM card) and e-commerce, which lie in hands of mobile phone manufactures, telecom providers and online (or brick-n-mortar) retailers, banks have not found a viable business model yet to drive up payments on mobile devices. After all, payment itself is a tool to end users, often the last step in the value chain.
This project comes from a real local large banking customer. They expect to explore a new business for banking to extend the market and provide better user experience, as well as making the payment viable anywhere anytime by the mobile, cloud computing and social network technology.
A mobile payment platform will be delivered, which includes: a mobile application to scan the bar code and pay the money, a transformation protocol suitable for mobile, a connectivity system to integrate all the backend systems and social network. A fantastic scenario will be implemented through the platform.
Technical goals
Build one mobile payment platform.
Integrate social network, payment system and smartphone.
Generate a mobile application on major popular operation systems, eg, ios, Android, etc.
Business goals
Build a new business model to promote banking modernization and transformation.
Enable social business viable for banking.
Increase revenue for banks and merchants.
Business interns - 1
1 MBA in Beijing
The intern will do marketing research and design business model
Deliverable:
Marketing research and analysis report of existing payment solution, global and local marketing status, competitor
The required skills include:
Business analysis background and experience
Social network fans, understand basic business model of 人人, 微博, 大众点评，街旁， location based service and etc.
Strong communication skills and self-driven to success
Technical interns - 3
3 interns will design and implement the mobile payment solution.
Deliverables:
One mobile payment prototype
Develop application on smartphone
Integrate the system with social network(微博), location based service
The required skills include:
2 Java developers with good skill on Java/J2EE/XML/SQL/Web Service/HTML5
1 developer with good skill on mobile application development
Projects from China Research Lab(CRL)CRL Project 1: Social Media-Based Customer Demands Detection, Recommendation and Visualization(Location: Beijing)
With the fast development of Web 2.0, more and more social media are available on the Web. The social media technologies take on many different forms including magazines, Internet forums, weblogs, social blogs, microblogging, wikis, podcasts, photographs or pictures, video, rating and social bookmarking. No matter which form it belongs to, the social media usually reflects the potential need of the online users who generate the content. Intuitively, it opens a great business opportunity to both retailers and manufactures. How to detect the customers’ demand from the social media, perform corresponding recommendation and visualize the results effectively becomes a really important problem.
The first issue is to detect potential customer demands from social media. Social media provides a very important communication platform for people. Many users often express their demands in social media (e.g. Twitter, Weibo). The linguistic expressions on demands are very complex. Especially, it is a big challenge to detect those implicit demands without keyword clues. We will combine corpus statistical analytics and linguistic analysis methods to extract user demand, aspect-oriented specific requirements and temporal validation.
The second issue is to study the social relationship between users and identify the most influential person for recommendation to satisfy user demands. Social media website has developed and become widespread very quickly. More and more people adopt social media as their primary source of all kinds of information. Compared with business advertisement, people are more willing to listen to the suggestions from other people, especially their friends, expertise or the influential individuals, as references to making decision. So, to make the recommendation online more efficiently, the best way is to find the most proper people to make the recommendation. How to find such kind of people for recommendation? A closer analysis of social phenomenon in social networks reveals that there are two important factors. Firstly, knowledge and experience, the people should have the ability to provide the guidance for others, these ability may come from his/her past experience or from his/her professional knowledge. Secondly, the influence ability, influentials are always those people whose opinions or advices are often accepted and supported by others. The advices from influentials are more persuasive. Thirdly, characteristics of the user, which describe the status of the person whether is inclined to be influenced by others.
The third issue is to develop a visualization components wizard based on the Peony for customer demands/behavior and recommendation. Peony is an integrated information visualization design and development platform. The wizard will automatically generate different visualization components according to different datasets. Each visualization component contains a set of standardized analysis atom interactions. These interactions help users to explorer a same visualization in different view points. For example, when the data is a social community dataset, graph visualization will be used. In the graph, users can use annotation interactions to manually group persons as a community and collapse it to see the diversity of the community or to check whether it is a core community or not. They can brush a certain property to see their distributions in the communities (it can be used to detect the common attribute in the communities). They also can map the node size to different numeric node attributes. The visualization shows the original data analysis results, and the composition of the atom interactions reveals the process of analysis.
Technical goal
1. Provide new technologies for social commerce analysis
a) Analyze the sophisticated web2.0 website such as twitter.com and weibo.com
b) Provide an instant customer demands detection algorithms.
c) Identify the influence interactions between social users and provide an influence based social recommendation for user demands satisfaction
2. Provide an interactive exhibition toolkit for social commerce analysis.
a) Leverage various visual presentations inside and outside IBM;
b) Design new visual presentations (visualization components) and interaction methods;
Provide automatic or semi-automatic approaches to analyzing the input application data based on the domain knowledge provided by the user.
Business goal
1. Facilitates user-generated content on social media into results that can enhance business marketing programs.
Providing more social behavior analysis experiences for smarter commerce.
MBA intern : 1 intern
1. Be familiar with business mechanism in social commerce, product promotion and marketing.
2. Marketing survey experiences
3. Good oral and written English skills
4. Good Leadership and communication skills
Technical interns : 2 interns
1. Master or above, in computer related field.
2. Be familiar with data mining, natural language process, information/knowledge management, or computer graphics.
3. Be quick at learning new techniques.
4. Be familiar with Java programming
CRL Project 2: Mobility Services for Connected Vehicles (Location:Shanghai)
Project Description
The ubiquitous wireless broadband connection & web channel (i.e., 3G, social network) have paved the way for automobile OEMs to gather many new types of data from running vehicles and the Internet. OEMs regard this as a major industry transformation trend of enabling new mobility services with significant revenue/profit growth potentials. One example of such services is the OnStar from GM. However, OEMs and TSPs (Telematics Service Providers) are facing challenges on how to effectively and efficiently collect the vehicle data and turn them into deeper insights that could help the quick proliferation of innovative and differentiated mobility services that are valuable and consumable to the end users (so that they are willing to pay).
1. Vehicle Data Collection: Most OEMs today collects vehicle data from on-vehicle devices, which are typically proprietary to OEM and difficult to install after vehicle sale. The data transmission usually requires a separate 2G/3G connection and adds additional cost.
2. Mobility Insights from Data: Customer/vehicle profiling is critical for offering differentiated and sustainable value through the right services for customers. Customer/vehicle profiles built out of traditional data sources usually don’t cover driver’s mobility pattern, driving behavior and vehicle’s usage context (operation environment).
3. Consumable User Interaction: Today’s mobility services are consumed through the on-vehicle device or the traditional web browser interface, which are weak in the richness of user interaction, also difficult to support the needs for interaction from anywhere at anytime that are required by many mobility services.
In this EB project, the team will work with Researchers from IBM to develop a prototype system for mobility vehicle service, with an objective to attack the above issues from the following perspectives:
1. Leveraging mobile phone as the vehicle side gateway for collecting and aggregating various types of data and exchange with backend server.
a) OBD II interfacing from the CAN bus (w/ existing CRL asset)
b) Leveraging 2G/3G connection from mobile phone
c) Adaptable transmission channel (w/ existing CRL asset)
2. Synergizing data from various perspectives to derive a deeper understanding & insights about client & vehicle, which may include (but not limited to) the following ones, with the detailed scope be determined after the mobility services scope are finalized.
a) Usage Context:
b) Mobility Pattern:
c) Vehicle Condition:
d) Driver Behavior:
e) Personal Preference:
3. The client/vehicle insights will be used to support the development of 1 to 2 key mobility services, with candidates coming from the below list (not limited).
a) Real-time Road Awareness: getting information published by driver ahead of the road helps to learn the updated situation
b) Road Book Sharing: sharing personal travel experiences (trajectories, POIs ) through mobile phone and/or integrated weibo interfaces
c) Smart Car Parking/Sharing: matchmaking car/parking slot sharing pairs by mobility patterns, and/or coordinate the activities
d) Bench Marking: comparing/ranking key driving metrics to pinpoint problems and suggest actions for improvement
e) Social Networking: user groups formation / buddy recommendation from multiple dimensions, e.g., vehicle model/condition/problems, service record, trajectory/trip pattern, driving behavior
f) More ideas to come from EB talents …
4. Leveraging mobile phone and/or weibo as the channel for delivering mobility services, with or without the dedicated vehicle devices and web browser interfaces.
Technical and Business goals
1. Completion and deployment of a running prototype.
2. Pilot of the prototype (starts from IBM, then go outside)
3. Presentation of the prototype by at least one client (i.e., DPCA).
4. Integration of the technology into IBM overall connected vehicle platform
5. Filing/publishing of 3+ patent disclosures
6. Publishing of a technical papers and/or a business case study paper
Technical interns : 3 interns
Intern 1: Solution planning and requirement engineering
- knowledge/experiences on the requirement specification of IT systems
- knowledge on one of the related service domain (e.g., customer value analysis, social network, traffic ...)
- good English/Chinese writing skills
- knowledge and experiences on automobile is a plus， e.g., with a driver licence
Intern 2: Mobile Device programming
- knowledge and experiences on Android (or iOS) programming
- knowledge and experiences on web 2.0 programming (e.g., GoogleMap,weibo API)
- knowledge and experiences on UI development
- knowledge and experiences on automobile is a plus, e.g., with a driver licence
Intern 3: Server Side programming
- knowledge and experiences on Java/J2EE programming
- knowledge and experiences on DB design and implementation
- knowledge and experiences on algorithms implementation (analytics and optimization)
- knowledge and experiences on automobile is a plus, e.g., with a driver licence
※ 修改:·kinghon40 于 May 10 17:39:14 2012 修改本文·[FROM: 59.66.123.*]
※ 来源:·水木社区
http://newsmth.net·[FROM: 59.66.123.*]
修改:kinghon40 FROM 59.66.123.*
FROM 59.66.123.*