Data Science Modern solutions and applications
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Learn more about Data Science Applications. We at Radiant IT Services provide in-detail training and live projects to get a hand-on-experience at the time of your training. https://www.radiantitservices.in/ This will help you learn the latest tech the industry is using to analyze the data. These are the latest examples of applications of Data Science. This can be more if we somehow manage it without any further losses.
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Available online at www.sciencedirect.comhttpwww.keaipubl.docx
Available online at www.sciencedirect.com
http://www.keaipublishing.com/en/journals/jfds/
ScienceDirect
The Journal of Finance and Data Science 1 (2015) 1e10
Big data based fraud risk management at Alibaba
Jidong Chen*, Ye Tao, Haoran Wang, Tao Chen
Alipay, Alibaba, China
Received 15 February 2015; revised 8 March 2015; accepted 20 March 2015
Available online 14 July 2015
Abstract
With development of mobile internet and finance, fraud risk comes in all shapes and sizes. This paper is to introduce the Fraud
Risk Management at Alibaba under big data. Alibaba has built a fraud risk monitoring and management system based on real-time
big data processing and intelligent risk models. It captures fraud signals directly from huge amount data of user behaviors and
network, analyzes them in real-time using machine learning, and accurately predicts the bad users and transactions. To extend the
fraud risk prevention ability to external customers, Alibaba also built up a big data based fraud prevention product called Ant-
Buckler. AntBuckler aims to identify and prevent all flavors of malicious behaviors with flexibility and intelligence for online
merchants and banks. By combining large amount data of Alibaba and customers', AntBuckler uses the RAIN score engine to
quantify risk levels of users or transactions for fraud prevention. It also has a user-friendly visualization UI with risk scores, top
reasons and fraud connections.
© 2015, China Science Publishing & Media Ltd. Production and hosting by Elsevier on behalf of KeAi Communications Co. Ltd.
This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
Keywords: Fraud detection and prevention; Risk model; Malicious behavior; Risk score; Big data analysis
1. Introduction
Big data is an all-encompassing term for any collection of data sets which are large, complex and unstructured, so
that it becomes difficult to process using traditional data processing applications. Big data “size” is dynamic and
constantly growing, as of 2012 ranging from a few dozen terabytes to many petabytes of data by the time when the
article is written. It is also a set of techniques and technologies that to analyze, capture, curate, manage and process
data within a tolerable elapsed time (Wikipedia).
Big data has many different purposes e fraud risk management, web display advertising, call center optimization,
social media analysis, intelligent traffic management and among other things. Most of these analytical solutions were
not possible previously because data technology were unable to store such huge size of data or processing technologies
were not capable of handling large volume of workload or it was too costly to implement the solution in a timely
manner.
* Corresponding author.
E-mail addresses: [email protected], [email protected] (J. Chen).
Peer review under responsibility of China Science Publishing & Media Ltd.
http://dx.doi.org/10.1016/j.jfds.201.
Available online at www.sciencedirect.comhttpwww.keaipubl.docx
Available online at www.sciencedirect.com
http://www.keaipublishing.com/en/journals/jfds/
ScienceDirect
The Journal of Finance and Data Science 1 (2015) 1e10
Big data based fraud risk management at Alibaba
Jidong Chen*, Ye Tao, Haoran Wang, Tao Chen
Alipay, Alibaba, China
Received 15 February 2015; revised 8 March 2015; accepted 20 March 2015
Available online 14 July 2015
Abstract
With development of mobile internet and finance, fraud risk comes in all shapes and sizes. This paper is to introduce the Fraud
Risk Management at Alibaba under big data. Alibaba has built a fraud risk monitoring and management system based on real-time
big data processing and intelligent risk models. It captures fraud signals directly from huge amount data of user behaviors and
network, analyzes them in real-time using machine learning, and accurately predicts the bad users and transactions. To extend the
fraud risk prevention ability to external customers, Alibaba also built up a big data based fraud prevention product called Ant-
Buckler. AntBuckler aims to identify and prevent all flavors of malicious behaviors with flexibility and intelligence for online
merchants and banks. By combining large amount data of Alibaba and customers', AntBuckler uses the RAIN score engine to
quantify risk levels of users or transactions for fraud prevention. It also has a user-friendly visualization UI with risk scores, top
reasons and fraud connections.
© 2015, China Science Publishing & Media Ltd. Production and hosting by Elsevier on behalf of KeAi Communications Co. Ltd.
This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
Keywords: Fraud detection and prevention; Risk model; Malicious behavior; Risk score; Big data analysis
1. Introduction
Big data is an all-encompassing term for any collection of data sets which are large, complex and unstructured, so
that it becomes difficult to process using traditional data processing applications. Big data “size” is dynamic and
constantly growing, as of 2012 ranging from a few dozen terabytes to many petabytes of data by the time when the
article is written. It is also a set of techniques and technologies that to analyze, capture, curate, manage and process
data within a tolerable elapsed time (Wikipedia).
Big data has many different purposes e fraud risk management, web display advertising, call center optimization,
social media analysis, intelligent traffic management and among other things. Most of these analytical solutions were
not possible previously because data technology were unable to store such huge size of data or processing technologies
were not capable of handling large volume of workload or it was too costly to implement the solution in a timely
manner.
* Corresponding author.
E-mail addresses: [email protected], [email protected] (J. Chen).
Peer review under responsibility of China Science Publishing & Media Ltd.
http://dx.doi.org/10.1016/j.jfds.201 ...
Available online at www.sciencedirect.comhttpwww.keaipubl.docx
Available online at www.sciencedirect.com
http://www.keaipublishing.com/en/journals/jfds/
ScienceDirect
The Journal of Finance and Data Science 1 (2015) 1e10
Big data based fraud risk management at Alibaba
Jidong Chen*, Ye Tao, Haoran Wang, Tao Chen
Alipay, Alibaba, China
Received 15 February 2015; revised 8 March 2015; accepted 20 March 2015
Available online 14 July 2015
Abstract
With development of mobile internet and finance, fraud risk comes in all shapes and sizes. This paper is to introduce the Fraud
Risk Management at Alibaba under big data. Alibaba has built a fraud risk monitoring and management system based on real-time
big data processing and intelligent risk models. It captures fraud signals directly from huge amount data of user behaviors and
network, analyzes them in real-time using machine learning, and accurately predicts the bad users and transactions. To extend the
fraud risk prevention ability to external customers, Alibaba also built up a big data based fraud prevention product called Ant-
Buckler. AntBuckler aims to identify and prevent all flavors of malicious behaviors with flexibility and intelligence for online
merchants and banks. By combining large amount data of Alibaba and customers', AntBuckler uses the RAIN score engine to
quantify risk levels of users or transactions for fraud prevention. It also has a user-friendly visualization UI with risk scores, top
reasons and fraud connections.
© 2015, China Science Publishing & Media Ltd. Production and hosting by Elsevier on behalf of KeAi Communications Co. Ltd.
This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
Keywords: Fraud detection and prevention; Risk model; Malicious behavior; Risk score; Big data analysis
1. Introduction
Big data is an all-encompassing term for any collection of data sets which are large, complex and unstructured, so
that it becomes difficult to process using traditional data processing applications. Big data “size” is dynamic and
constantly growing, as of 2012 ranging from a few dozen terabytes to many petabytes of data by the time when the
article is written. It is also a set of techniques and technologies that to analyze, capture, curate, manage and process
data within a tolerable elapsed time (Wikipedia).
Big data has many different purposes e fraud risk management, web display advertising, call center optimization,
social media analysis, intelligent traffic management and among other things. Most of these analytical solutions were
not possible previously because data technology were unable to store such huge size of data or processing technologies
were not capable of handling large volume of workload or it was too costly to implement the solution in a timely
manner.
* Corresponding author.
E-mail addresses: [email protected], [email protected] (J. Chen).
Peer review under responsibility of China Science Publishing & Media Ltd.
http://dx.doi.org/10.1016/j.jfds.201.
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Available online at www.sciencedirect.comhttpwww.keaipubl.docx
Available online at www.sciencedirect.com
http://www.keaipublishing.com/en/journals/jfds/
ScienceDirect
The Journal of Finance and Data Science 1 (2015) 1e10
Big data based fraud risk management at Alibaba
Jidong Chen*, Ye Tao, Haoran Wang, Tao Chen
Alipay, Alibaba, China
Received 15 February 2015; revised 8 March 2015; accepted 20 March 2015
Available online 14 July 2015
Abstract
With development of mobile internet and finance, fraud risk comes in all shapes and sizes. This paper is to introduce the Fraud
Risk Management at Alibaba under big data. Alibaba has built a fraud risk monitoring and management system based on real-time
big data processing and intelligent risk models. It captures fraud signals directly from huge amount data of user behaviors and
network, analyzes them in real-time using machine learning, and accurately predicts the bad users and transactions. To extend the
fraud risk prevention ability to external customers, Alibaba also built up a big data based fraud prevention product called Ant-
Buckler. AntBuckler aims to identify and prevent all flavors of malicious behaviors with flexibility and intelligence for online
merchants and banks. By combining large amount data of Alibaba and customers', AntBuckler uses the RAIN score engine to
quantify risk levels of users or transactions for fraud prevention. It also has a user-friendly visualization UI with risk scores, top
reasons and fraud connections.
© 2015, China Science Publishing & Media Ltd. Production and hosting by Elsevier on behalf of KeAi Communications Co. Ltd.
This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
Keywords: Fraud detection and prevention; Risk model; Malicious behavior; Risk score; Big data analysis
1. Introduction
Big data is an all-encompassing term for any collection of data sets which are large, complex and unstructured, so
that it becomes difficult to process using traditional data processing applications. Big data “size” is dynamic and
constantly growing, as of 2012 ranging from a few dozen terabytes to many petabytes of data by the time when the
article is written. It is also a set of techniques and technologies that to analyze, capture, curate, manage and process
data within a tolerable elapsed time (Wikipedia).
Big data has many different purposes e fraud risk management, web display advertising, call center optimization,
social media analysis, intelligent traffic management and among other things. Most of these analytical solutions were
not possible previously because data technology were unable to store such huge size of data or processing technologies
were not capable of handling large volume of workload or it was too costly to implement the solution in a timely
manner.
* Corresponding author.
E-mail addresses: [email protected], [email protected] (J. Chen).
Peer review under responsibility of China Science Publishing & Media Ltd.
http://dx.doi.org/10.1016/j.jfds.201.
Available online at www.sciencedirect.comhttpwww.keaipubl.docx
Available online at www.sciencedirect.com
http://www.keaipublishing.com/en/journals/jfds/
ScienceDirect
The Journal of Finance and Data Science 1 (2015) 1e10
Big data based fraud risk management at Alibaba
Jidong Chen*, Ye Tao, Haoran Wang, Tao Chen
Alipay, Alibaba, China
Received 15 February 2015; revised 8 March 2015; accepted 20 March 2015
Available online 14 July 2015
Abstract
With development of mobile internet and finance, fraud risk comes in all shapes and sizes. This paper is to introduce the Fraud
Risk Management at Alibaba under big data. Alibaba has built a fraud risk monitoring and management system based on real-time
big data processing and intelligent risk models. It captures fraud signals directly from huge amount data of user behaviors and
network, analyzes them in real-time using machine learning, and accurately predicts the bad users and transactions. To extend the
fraud risk prevention ability to external customers, Alibaba also built up a big data based fraud prevention product called Ant-
Buckler. AntBuckler aims to identify and prevent all flavors of malicious behaviors with flexibility and intelligence for online
merchants and banks. By combining large amount data of Alibaba and customers', AntBuckler uses the RAIN score engine to
quantify risk levels of users or transactions for fraud prevention. It also has a user-friendly visualization UI with risk scores, top
reasons and fraud connections.
© 2015, China Science Publishing & Media Ltd. Production and hosting by Elsevier on behalf of KeAi Communications Co. Ltd.
This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
Keywords: Fraud detection and prevention; Risk model; Malicious behavior; Risk score; Big data analysis
1. Introduction
Big data is an all-encompassing term for any collection of data sets which are large, complex and unstructured, so
that it becomes difficult to process using traditional data processing applications. Big data “size” is dynamic and
constantly growing, as of 2012 ranging from a few dozen terabytes to many petabytes of data by the time when the
article is written. It is also a set of techniques and technologies that to analyze, capture, curate, manage and process
data within a tolerable elapsed time (Wikipedia).
Big data has many different purposes e fraud risk management, web display advertising, call center optimization,
social media analysis, intelligent traffic management and among other things. Most of these analytical solutions were
not possible previously because data technology were unable to store such huge size of data or processing technologies
were not capable of handling large volume of workload or it was too costly to implement the solution in a timely
manner.
* Corresponding author.
E-mail addresses: [email protected], [email protected] (J. Chen).
Peer review under responsibility of China Science Publishing & Media Ltd.
http://dx.doi.org/10.1016/j.jfds.201 ...
Available online at www.sciencedirect.comhttpwww.keaipubl.docx
Available online at www.sciencedirect.com
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ScienceDirect
The Journal of Finance and Data Science 1 (2015) 1e10
Big data based fraud risk management at Alibaba
Jidong Chen*, Ye Tao, Haoran Wang, Tao Chen
Alipay, Alibaba, China
Received 15 February 2015; revised 8 March 2015; accepted 20 March 2015
Available online 14 July 2015
Abstract
With development of mobile internet and finance, fraud risk comes in all shapes and sizes. This paper is to introduce the Fraud
Risk Management at Alibaba under big data. Alibaba has built a fraud risk monitoring and management system based on real-time
big data processing and intelligent risk models. It captures fraud signals directly from huge amount data of user behaviors and
network, analyzes them in real-time using machine learning, and accurately predicts the bad users and transactions. To extend the
fraud risk prevention ability to external customers, Alibaba also built up a big data based fraud prevention product called Ant-
Buckler. AntBuckler aims to identify and prevent all flavors of malicious behaviors with flexibility and intelligence for online
merchants and banks. By combining large amount data of Alibaba and customers', AntBuckler uses the RAIN score engine to
quantify risk levels of users or transactions for fraud prevention. It also has a user-friendly visualization UI with risk scores, top
reasons and fraud connections.
© 2015, China Science Publishing & Media Ltd. Production and hosting by Elsevier on behalf of KeAi Communications Co. Ltd.
This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
Keywords: Fraud detection and prevention; Risk model; Malicious behavior; Risk score; Big data analysis
1. Introduction
Big data is an all-encompassing term for any collection of data sets which are large, complex and unstructured, so
that it becomes difficult to process using traditional data processing applications. Big data “size” is dynamic and
constantly growing, as of 2012 ranging from a few dozen terabytes to many petabytes of data by the time when the
article is written. It is also a set of techniques and technologies that to analyze, capture, curate, manage and process
data within a tolerable elapsed time (Wikipedia).
Big data has many different purposes e fraud risk management, web display advertising, call center optimization,
social media analysis, intelligent traffic management and among other things. Most of these analytical solutions were
not possible previously because data technology were unable to store such huge size of data or processing technologies
were not capable of handling large volume of workload or it was too costly to implement the solution in a timely
manner.
* Corresponding author.
E-mail addresses: [email protected], [email protected] (J. Chen).
Peer review under responsibility of China Science Publishing & Media Ltd.
http://dx.doi.org/10.1016/j.jfds.201.
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Eirini is an HR professional with strong passion for technology and semiconductors industry in particular. She started her career as a software recruiter in 2012, and developed an interest for business development, talent enablement and innovation which later got her setting up the concept of Software Community Management in ASML, and to Developer Relations today. She holds a bachelor degree in Lifelong Learning and an MBA specialised in Strategic Human Resources Management. She is a world citizen, having grown up in Greece, she studied and kickstarted her career in The Netherlands and can currently be found in Santa Clara, CA.
在线办理(UOIT毕业证书)安大略省理工大学毕业证在读证明一模一样
原件一模一样【微信：bwp0011】《(UOIT毕业证书)安大略省理工大学毕业证》【微信：bwp0011】学位证，留信认证（真实可查，永久存档）原件一模一样纸张工艺/offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原。
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问微bwp0011
【主营项目】
一.毕业证【微bwp0011】成绩单、使馆认证、教育部认证、雅思托福成绩单、学生卡等！
二.真实使馆公证(即留学回国人员证明,不成功不收费)
三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）
四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度)
如果您处于以下几种情况：
◇在校期间，因各种原因未能顺利毕业……拿不到官方毕业证【微bwp0011】
◇面对父母的压力，希望尽快拿到；
◇不清楚认证流程以及材料该如何准备；
◇回国时间很长，忘记办理；
◇回国马上就要找工作，办给用人单位看；
◇企事业单位必须要求办理的
◇需要报考公务员、购买免税车、落转户口
◇申请留学生创业基金
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
官方认证美国旧金山州立大学毕业证学位证书案例原版一模一样
原版一模一样【微信：741003700 】【美国旧金山州立大学毕业证学位证书】【微信：741003700 】学位证，留信认证（真实可查，永久存档）offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原海外各大学 Bachelor Diploma degree, Master Degree Diploma
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
一比一原版(EUR毕业证)鹿特丹伊拉斯姆斯大学毕业证如何办理
原件一模一样【微信：95270640】【鹿特丹伊拉斯姆斯大学毕业证EUR学位证成绩单】【微信：95270640】（留信学历认证永久存档查询）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信：95270640】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信：95270640】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份【微信：95270640】
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
→ 【关于价格问题（保证一手价格）
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：可来公司面谈，可签订合同，会陪同客户一起到教育部认证窗口递交认证材料，客户在教育部官方认证查询网站查询到认证通过结果后付款，不成功不收费！
办理鹿特丹伊拉斯姆斯大学毕业证毕业证offerEUR学位证【微信：95270640 】外观非常精致，由特殊纸质材料制成，上面印有校徽、校名、毕业生姓名、专业等信息。
办理鹿特丹伊拉斯姆斯大学毕业证EUR学位证毕业证offer【微信：95270640 】格式相对统一，各专业都有相应的模板。通常包括以下部分：
校徽：象征着学校的荣誉和传承。
校名:学校英文全称
授予学位：本部分将注明获得的具体学位名称。
毕业生姓名：这是最重要的信息之一，标志着该证书是由特定人员获得的。
颁发日期：这是毕业正式生效的时间，也代表着毕业生学业的结束。
其他信息：根据不同的专业和学位，可能会有一些特定的信息或章节。
办理鹿特丹伊拉斯姆斯大学毕业证毕业证offerEUR学位证【微信：95270640 】价值很高，需要妥善保管。一般来说，应放置在安全、干燥、防潮的地方，避免长时间暴露在阳光下。如需使用，最好使用复印件而不是原件，以免丢失。
综上所述，办理鹿特丹伊拉斯姆斯大学毕业证毕业证offerEUR学位证【微信：95270640 】是证明身份和学历的高价值文件。外观简单庄重，格式统一，包括重要的个人信息和发布日期。对持有人来说，妥善保管是非常重要的。
Community Skills Building Workshop | PMI Silver Spring Chapter | June 12, 2024
Community Skills Building Workshop | PMI Silver Spring Chapter | June 12, 2024Hector Del Castillo, CPM, CPMM
We recently hosted the much-anticipated Community Skill Builders Workshop during our June online meeting. This event was a culmination of six months of listening to your feedback and crafting solutions to better support your PMI journey. Here’s a look back at what happened and the exciting developments that emerged from our collaborative efforts.
A Gathering of Minds
We were thrilled to see a diverse group of attendees, including local certified PMI trainers and both new and experienced members eager to contribute their perspectives. The workshop was structured into three dynamic discussion sessions, each led by our dedicated membership advocates.
Key Takeaways and Future Directions
The insights and feedback gathered from these discussions were invaluable. Here are some of the key takeaways and the steps we are taking to address them:
• Enhanced Resource Accessibility: We are working on a new, user-friendly resource page that will make it easier for members to access training materials and real-world application guides.
• Structured Mentorship Program: Plans are underway to launch a mentorship program that will connect members with experienced professionals for guidance and support.
• Increased Networking Opportunities: Expect to see more frequent and varied networking events, both virtual and in-person, to help you build connections and foster a sense of community.
Moving Forward
We are committed to turning your feedback into actionable solutions that enhance your PMI journey. This workshop was just the beginning. By actively participating and sharing your experiences, you have helped shape the future of our Chapter’s offerings.
Thank you to everyone who attended and contributed to the success of the Community Skill Builders Workshop. Your engagement and enthusiasm are what make our Chapter strong and vibrant. Stay tuned for updates on the new initiatives and opportunities to get involved. Together, we are building a community that supports and empowers each other on our PMI journeys.
Stay connected, stay engaged, and let’s continue to grow together!
About PMI Silver Spring Chapter
We are a branch of the Project Management Institute. We offer a platform for project management professionals in Silver Spring, MD, and the DC/Baltimore metro area. Monthly meetings facilitate networking, knowledge sharing, and professional development. For more, visit pmissc.org.一比一原版(surrey毕业证书)英国萨里大学毕业证成绩单修改如何办理
原版定制【微信:741003700】《(surrey毕业证书)英国萨里大学毕业证学位证成绩单》【微信:741003700】成绩单 、雅思、外壳、留信学历认证永久存档查询，采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份毕业证【Q微信741003700】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【Q微信741003700】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
一比一原版美国西北大学毕业证(NWU毕业证书)学历如何办理
原版办理【微信号:BYZS866】【美国西北大学毕业证(NWU毕业证书)】【微信号:BYZS866】《成绩单、外壳、雅思、offer、真实留信官方学历认证（永久存档/真实可查）》采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【我们承诺采用的是学校原版纸张（纸质、底色、纹路）我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信号BYZS866】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信号BYZS866】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
1、留学生专业人才库服务（留信分析）
2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！
All Of My Java Codes With A Sample Output.docx
Contains All of the Java Programs from Beginning to the Advanced Concepts that I had Practiced While Learning Java
How to overcome obstacles in the way of success.pdf
Success is often not achievable without facing and overcoming obstacles along the way. To reach our goals and achieve success, it is important to understand and resolve the obstacles that come in our way.
In this article, we will discuss the various obstacles that hinder success, strategies to overcome them, and examples of individuals who have successfully surmounted their obstacles.
一比一原版布拉德福德大学毕业证（bradford毕业证）如何办理
一模一样【微信：A575476】【布拉德福德大学毕业证（bradford毕业证）成绩单Offer】【微信：A575476】（留信学历认证永久存档查询）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信：A575476】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信：A575476】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
→ 【关于价格问题（保证一手价格）
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：可来公司面谈，可签订合同，会陪同客户一起到教育部认证窗口递交认证材料，客户在教育部官方认证查询网站查询到认证通过结果后付款，不成功不收费！
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Data Science Modern solutions and applications
- 2. Applications 01 Predicting COVID-19 Spread Optimizing Traffic Flow in Bengaluru Real-time Fraud Detection in E-commerce Early Disease Detection using AI 02 03 04
- 3. https://covid19.iitd.ac.in/ Predicting COVID-19 Spread The Indian Institute of Technology, Delhi, uses machine learning models to predict the spread of COVID-19 cases at the state and district levels, aiding policymakers in resource allocation and containment measures.
- 4. Source Optimizing Traffic Flow in Bengaluru The Bengaluru Traffic Police and IBM collaborated on a project that uses real-time traffic data and AI to predict congestion and suggest dynamic route adjustments, resulting in a 10-15% reduction in travel time.
- 5. Source Real-time Fraud Detection in E-commerce Flipkart, a leading e-commerce platform in India, employs machine learning models to analyze transactions in real time, detecting and preventing fraudulent activities before they occur, protecting both customers and the company.
- 6. Source 2 Early Disease Detection using AI "Project Akshara" by Tata Medical Center uses deep learning algorithms to analyze mammograms for early detection of breast cancer, potentially saving lives through timely intervention Source 3 Source 1
- 7. Early Disease Detection using AI Swiggy has developed a neural search feature that enables users to discover food and groceries in a conversational manner. Here users receive tailored recommendations based on their queries. The neural search feature uses a large language model (LLM) that has been fine-tuned to understand the terminology related to dishes, recipes, and restaurants and Swiggy-specific search data. Source 1 Source 1