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R Enterprise (ORE) [clear filter]
Tuesday, March 20
 

3:35pm PDT

Customer Analytics with Oracle Advanced Analytics - from reactive to proactive
Long gone are the days when mass mails with the same message and offer were sent to all customers. With the amount of data companies have on their customers together with tools such as Oracle Advanced Analytics a new world of possibilities for personalized and proactive marketing opens up. A company with customer data in an existing datawarehouse built on Oracle databases have a short time to market for an advanced analytics platform using the licensed option of Oracle Advanced Analytics. In this session I will go through the learnings along the way from being reactive to proactive using the whole offering of R together with Oracle Advanced Analytics to empower data scientists and analysts to generate cutting edge customer insights inside the database.

Speakers
avatar for Magnus Perman

Magnus Perman

Senior Consultant / Solution Architect, SIGMA IT Consulting
Magnus is a senior consultant working for the Swedish company SIGMA IT Consulting. Magnus holds a M.Sc. in Computer Science and has over 15 years experience of working with different clients and delivered solutions within the areas of Business Intelligence, Data Warehousing and Analytics... Read More →


Tuesday March 20, 2018 3:35pm - 4:05pm PDT
1-Auditorium
 
Wednesday, March 21
 

1:00pm PDT

Using Machine Learning in OBIEE for Predictive Analytics and Actionable BI
This presentation focuses on unlocking the power of Data Science for data-driven decision support. It details the pragmatics of using Machine Learning techniques in OBIEE for actionable BI and Predictive Analytics from a business standpoint. Two industry use cases are presented to illustrate the implementation of the same using OBIEE 12c.

Speakers
avatar for Lakshman Bulusu

Lakshman Bulusu

Consultant, 1967
Lakshman Bulusu is a senior Oracle consultant with 25 years of experience in the fields of Oracle RDBMS, SQL, PL/SQL, EDW/BI/EPM,  Oracle-related Java and Oracle-related R, machine learning, Vertica and Alteryx. As an enterprise level data warehouse and BI solution architect/technical... Read More →


Wednesday March 21, 2018 1:00pm - 1:50pm PDT
2-Rm 102

3:25pm PDT

manufacturing_df.transform().fit()
Real life Manufacturing Data is not like iris or titanic. We cannot just .fit() and .score(). We need to effectively .transform() the data. In this presentation, we will look at the complexity of manufacturing data and various ways to feature engineer manufacturing data to derive meaningful variables to solve manufacturing problems. Specifically we will look at a. Methods to construct machine learning data set for different type of Manufacturing like Lot Controlled, Serial Controlled, Batch Manufacturing, Discrete Manufacturing b. Transformation method of time series data from Machine Sensor Readings c. Various binning transformations on transaction data

Speakers
avatar for Sreeram Hariharan

Sreeram Hariharan

Senior Prinicipal Applications Engineer, Oracle Corp
Application Developer working on Adaptive Intelligent Applications for Manufacturing.


Wednesday March 21, 2018 3:25pm - 4:15pm PDT
6-Bldg 500
 
Thursday, March 22
 

1:30pm PDT

Using Oracle R Enterprise for Event Registration Modeling and Propensity to Buy
Oracle Marketing Advanced Analytics team has been using Oracle R Enterprise(ORE) for propensity to buy modeling for the past few years. We have recently expanded our use of ORE to event registration. The models allow Oracle to target the right contacts for email marketing for product events. We have shown up to 4X increase in registration rates from model targets over the baseline. The presentation will cover an overview of the results of our modeling as well as some key insights we have learned on how to model using ORE.

Speakers
avatar for Joseph Darschewski

Joseph Darschewski

Sr. Data Scientist, Oracle
Sr Data ScientistOracle Marketing Advanced AnalyticsMS Statistics15+ years experience


Thursday March 22, 2018 1:30pm - 1:55pm PDT
1-Auditorium
 

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