OAUG Collaborate 2019

April 07 - 11
San Antonio

Hear from our customer:

Open projects and historical project data migrated to Oracle Cloud Applications
- A first success in the industry


Abstract

McDermott, a Multi-National, fully-integrated provider of technology, engineering and construction solutions to the energy industry with multiple legacy engineering / procurement systems, consolidation between multiple currencies, and decentralized multiple payment and receipt systems decided to implement the Oracle Cloud. This session will look into an innovative approach McDermott took for automated legacy data migration & integration to the Oracle Cloud with built-in data cleansing process and multiple regional go-lives assuring process efficiency.


Objective

  Insight into how 54 Countries were mapped into the Oracle Cloud based Single Requisition-to-Pay system

  Overview of integrating between legacy and PLM systems and Cloud Oracle ERP

  Showcase creation of single source of Master data (Suppliers, Projects and Items)


Date

Tuesday Apr 09,2019

Time

2:00 PM to 3:00 PM EST

Location

CC 3RD FL 301C

Session Id

10882

Presentation on the solution

45 min

Question and Answers

15 min
Sundu Rathinam

Sid Azhar
Vice President

Sid Azhar: VP at Chain-Sys has extensive experience in the Oil & Gas and Manufacturing segments involving heavy industrial equipment and compression systems. Sid has an in-depth understanding of challenges organizations face in their planning processes and working with multiple applications while continuing to stay focused on core businesses processes. He has helped organizations navigate effectively through such challenges and assure strategic growth.

Joint presentation with our client McDermott International

Ramesh Konidala

McDermott International Inc.

Aditya Vijh

McDermott International Inc.

A Primer:

Analytics Algorithms for Machine Learning Use Cases


Abstract

This paper serves to provide a high-level overview of the various analytics algorithms and their benefit to address machine learning towards different types of analytical scenarios. The various algorithms will be compared and contrasted while showcasing the ability to derive meaningful output into reporting and visualization tools.


Objective

  Provide high-level architectural requirements to process analytical data

  Provide linear, multi-linear and logistic regression methods

  Showcase analysis of time series data

  Differentiate non-parametric, pattern recognition and bayesian classification

  Showcase reporting and visualization outputs


Date

Thursday Apr 11,2019

Time

8:00 AM to 10:00 AM EST

Location

CC 2RD FL 214D

Session Id

11201

Presentation on the solution

45 min

Question and Answers

15 min
Austin Davis

Austin Davis
Vice President

Vice President has over two decades of project experience in Oracle and SAP Enterprise applications,data management, cloud applications, security, network design, and systems integration, Austin is an expert in many areas of Enterprise software, cloud and data management, cloud deployment & integration. In his capacity as Vice President, Austin has been instrumental in addressing the functional and technicaldemands of the company including responsibility for Sales and Marketing, leading the Oracle and SAP services organization, building offshore capabilities in Asia, South America and the Middle East.

Dharma Raja

Dharma Raja
Technical Architect

Product Manager and Technical Architect has over 18 years of experience in software design and development.Also, responsible in identifying the most suitable technology stack and frameworks in supporting organizational needs As a lead architect for design and development of home grown Chain-Sys product appVISUALIZE supporting Analytical solutions, Dash board reporting and Integrating with enterprise applications. Responsible for the quality and effectiveness of code is, of course, shared by the whole team; however, challenge the team and help it to implement even better code which meets industry standards.