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Obtaining full referral URL
Image credits: www.reubenyau.com/google-analytics-hack-obtaining-full-re...
With Biscione&Associati S.r.l.: an infographic explaining the commercial offer from INAZ, part of a larger work
The Jack Welch College of Business and the Office of Alumni Engagement presented “Careers in Analytics” on April 10, 2019, at the Martire Forum. The alumni panel featured Justin Baigert ’05, vice president, Data & Analytics at GE, Joseph Lucibello ’11, senior manager, data scientist at WWE and Suzanne May ’13, research manager at Purchased. The moderator was Khawaja Mamun, associate professor of economics. Photo by Mark F. Conrad
The Jack Welch College of Business and the Office of Alumni Engagement presented “Careers in Analytics” on April 10, 2019, at the Martire Forum. The alumni panel featured Justin Baigert ’05, vice president, Data & Analytics at GE, Joseph Lucibello ’11, senior manager, data scientist at WWE and Suzanne May ’13, research manager at Purchased. The moderator was Khawaja Mamun, associate professor of economics. Photo by Mark F. Conrad
The Jack Welch College of Business and the Office of Alumni Engagement presented “Careers in Analytics” on April 10, 2019, at the Martire Forum. The alumni panel featured Justin Baigert ’05, vice president, Data & Analytics at GE, Joseph Lucibello ’11, senior manager, data scientist at WWE and Suzanne May ’13, research manager at Purchased. The moderator was Khawaja Mamun, associate professor of economics. Photo by Mark F. Conrad
"Manthan recognizes the need for high levels of data security for analytical applications and this video provides a quick overview of the security tenants.
Learn more about Manthan @ www.manthan.com/";
International Monetary Fund's Laura Kodres (R),Assistant Director, MCM; Jennifer Elliott (2nd R),Co-Lead Author of Chapter 3, MCM; Srobona Mitra (2nd L),Co-Lead Author of Chapter 3, MCM and Tao Sun (L),Lead Author of Chapter 4, MCM attend the Analytical Chapters of Global Financial Stability Report Press Conference September 25, 2012 at the IMF Headquarters in Washington, DC. IMF Photograph/Stephen Jaffe
I was a speaker in a seminar at Mahidol University for following topics:
- Getting Started Google Analytic and how to read data
- Majestic SEO and Ahrefs
- Better Webometrics
Instructor: Teerasej Jiraphatchandej
Need to host seminar and request for speaker: buddy@sochiie.com
At Mahidol University, Bangkok, Thailand
The Jack Welch College of Business and the Office of Alumni Engagement presented “Careers in Analytics” on April 10, 2019, at the Martire Forum. The alumni panel featured Justin Baigert ’05, vice president, Data & Analytics at GE, Joseph Lucibello ’11, senior manager, data scientist at WWE and Suzanne May ’13, research manager at Purchased. The moderator was Khawaja Mamun, associate professor of economics. Photo by Mark F. Conrad
The Jack Welch College of Business and the Office of Alumni Engagement presented “Careers in Analytics” on April 10, 2019, at the Martire Forum. The alumni panel featured Justin Baigert ’05, vice president, Data & Analytics at GE, Joseph Lucibello ’11, senior manager, data scientist at WWE and Suzanne May ’13, research manager at Purchased. The moderator was Khawaja Mamun, associate professor of economics. Photo by Mark F. Conrad
Here is bench space arranged for measuring the phosphorus content of small samples. The samples are weighed and then digested with potassium persulfate (very reactive!) in an autoclave (under steam pressure). Then the pH of the samples is carefully adjusted, and a mixture of ammonium molybdate and ascorbic acid is added. The mixture turns the samples blue, and the shade of blue depends on the amount of phosphorus present. The color is measured with a spectrophotometer.
The Jack Welch College of Business and the Office of Alumni Engagement presented “Careers in Analytics” on April 10, 2019, at the Martire Forum. The alumni panel featured Justin Baigert ’05, vice president, Data & Analytics at GE, Joseph Lucibello ’11, senior manager, data scientist at WWE and Suzanne May ’13, research manager at Purchased. The moderator was Khawaja Mamun, associate professor of economics. Photo by Mark F. Conrad
Business Intelligence solutions for life and health insurance companies to make faster and better decisions with data management and integrated analytics.
Smart Contract Analytics (SCA) Platform is based on AI / ML and specifically uses NLP and pattern recognition to process the contracts and extract the metadata. The platform is hosted on the AWS cloud that takes advantage of all security features that AWS provides along with the high availability and scalability features with GDPR compliances.
Artificial Intelligence / Machine Learning capabilities:
The SCA Platform uses Deep learning Neural Network models like Bi-LSTM, CNN, and other models that leverage state-of-the-art Natural Language Processing (NLP) based modeling techniques such as Word2Vec and Bi-directional Encoder Representations with Transformers to develop a semantic understanding of the document contents and further extract relevant entities and clauses.
Product features:
1) NLP and deep learning techniques for extracting metadata
2) Export the extracted data to Excel or client desired format and push the extracted data into any CLM or downstream system
3) Support of foreign languages (currently supported languages include Spanish and German)
and rest of the languages are in the planned roadmap
4) Generate dynamic ML models based on the contract type
5) The Platform has adaptors to various data sources to obtain legacy documents (FTP, Google Drive, SharePoint, dropbox, box, S3, and others, etc.)
6) The Platform can segregate the contracts based on the type of the contract (i.e. MSA, NDA, and SOW, etc.)
7) Ability to rename the contracts – standardize naming conventions if needed.
8) Document OCR capability with the ability to convert images, unsearchable pdf and scanned documents into text.
9) Metadata configurable
10) Integrated Quality Control tools for verification and validation of extracted clauses/metadata.
11) Compare two executed contracts of the same type to show the differences
12) Compare executed contracts with the standard template at a section/clause level
13) Notifications / Alerts engine that sends out notifications to email/text messages ( for example contracts expiring in 30/60/90 days, contracts that have an “Auto Renew” clause or Contracts that are not countersigned, and several others based on the configured attributes.
14) Show all the contracts executed with a specific Vendor ( or by account) in a hierarchical manner
15) Hierarchical mapping of the contracts assuming enough linkage attributes are available within the executed contracts or tracked in a CLM system
16) Open API that can be integrated with any 3rd party systems
Analytics capabilities:
The Smart Contract Analytics Platform comes with the following out of the box analytics capabilities based on the metadata extracted from the documents:
• number of contracts that are coming up for renewal by period (30 /60/90 days)
• Number of Contracts with Net payment terms as 30 days, 45 days, and 90 days, etc.
• Number of SOW’s / MSAs / Other Types of Contracts by the supplier
• Show contracts by the specified metadata (ex: “tell me how many contracts have clause ‘Indemnity’.”)
• number of contracts that have the “Auto Renew” option
• number of contracts that have an Insurance Liability clause with a specified $ amount
• Several others based on metadata and meta fields.