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Machine Learning [clear filter]
Tuesday, March 20
 

10:10am PDT

Oracle Autonomous Data Warehouse Cloud: Easy, Fast and Highly Elastic
Oracle recently expanded its Data Management Cloud portfolio with the addition of the Oracle Autonomous Data Warehouse Cloud Service to help customers and partners with the deployment of data-mart or data warehouse environments to gain faster insights from their critical business data. Oracle Autonomous Data Warehouse Cloud is the first of many cloud services built on the “self-driving” Oracle Autonomous Cloud Database technology. This service is integrated with applied machine learning to deliver unmatched high performance, reliability, and instant elasticity.
Oracle Autonomous Data Warehouse Cloud uses the same Oracle Database software and technology found in existing on-premises data warehouse deployment, and is compatible with Oracle’s in-database machine learning algorithms, analytics and BI tools, as well as popular 3rd party offerings. Oracle Autonomous Data Warehouse Cloud is simple to deploy, enabling traditional data mart environments or new monetization use cases.\

Speakers
avatar for George Lumpkin

George Lumpkin

Vice President, Product Management, Oracle
George Lumpkin is Vice President of Product Management for Oracle data warehouse solutions.  George has been with Oracle for twenty-six years, and has a tenured experience across database, data warehouse, big data and analytics foundations. He also has a degree from Harvard University... Read More →


Tuesday March 20, 2018 10:10am - 11:00am PDT
1-Auditorium

11:15am PDT

Oracle Machine Learning & Advanced Analytics: New Features, Cloud & Road Map
Oracle Advanced Analytics 12.2c delivers new features and significant performance gains. OAA new features include an unsupervised feature selection algorithm, ESA algorithm, partitioned models. OAA can now build machine learning models on billions of records in minutes, “score” millions of records even faster and supports real-time model deployment. Integration with R now supports R model registration for in-database processing. Oracle Data Miner adds a workflow Scheduler. ORAAH adds new ML algorithms. Oracle Machine Learning, a new Zeppelin based notebook supports collaborative model building and deployment in Oracle Data Warehouse Clouds. Several customer reference use cases will be presented.

Speakers
avatar for Charlie Berger

Charlie Berger

Sr. Dir. Product Mgmt, Oracle Machine Learning, AI, Oracle
Charlie Berger is the Sr. Director of Product Management, Machine Learning, AI and Cognitive Analytics in Oracle Server Technology. Since 1999, he has been responsible for Oracle’s machine learning—starting when Oracle acquired Thinking Machines Corporation where he was VP of... Read More →


Tuesday March 20, 2018 11:15am - 12:05pm PDT
3-Rm 103

11:15am PDT

Sneak Preview: Graph Cloud Services and Spatial Console for Database Cloud
Cloud services change the way we provision, deploy and perform analytic application development. They can simplify the development and deployment experience and make it possible for developers and data scientists to use analytics in which they had little or no expertise.  

Two new planned cloud services from Oracle for spatial and graph analysis offer low-code and no-code capabilities. The spatial cloud services include no-code spatial analysis, automated geo-enrichment of data, visual map analysis, and simplified spatial application creation for analysts and developers. The graph cloud services provide an analyst and developer studio with dozens of prebuilt, low-code graph algorithms with wizards to automate modeling, loading, and visualizing graph data and analysis results.

These mapping and graph analysis services offer over hundreds of geospatial and graph analysis functions.  Data access will be available through rich APIs, along with SQL-based spatial and graph query languages.


Speakers
avatar for Jayant Sharma

Jayant Sharma

Sr Dir, Prod Mgmt, Oracle USA Inc
Dr. Jayant Sharma is Director, Spatial Product Management at Oracle . He has over twenty years experience in databases and spatial information systems. He is currently focused on the product strategy, and design, of spatial components for Oracle's database and middleware products... Read More →
avatar for Jim Steiner

Jim Steiner

VICE PRESIDENT, ORACLE
Jim Steiner is Vice President of Product Management in the Oracle Server Technologies Division. He heads product management and strategy for Oracle’s spatial, graph, and several Big Data technologies. Mr. Steiner joined Oracle in 1995 as Director of Product Management and Marketing... Read More →


Tuesday March 20, 2018 11:15am - 12:05pm PDT
1-Auditorium

1:10pm PDT

MSET Plus Situation Awareness for Big Data Healthcare Prognostic Applications
Situation Awareness (SA) is arguably the best method to extract the highest value from data;  Oracle's KIDS (Knowledge Intensive Data-management Services) is a particularly efficient model for achieving SA.  The Multivariate State Estimation Technique (MSET) is an advanced prognostic pattern recognition method that was originally developed in the 1990's for high-sensitivity prognostic applications in complex safety-critical industries by discovering anomalies with the provably lowest-possible false positives/negatives, and with low resource consumption.  Oracle's new MSET-2 combined with SA solves issues that confuse humans in the loop, and confound the best conventional ML algorithmics. The combination of Oracle MSET-2 and SA achieves a compelling value proposition for Big Data life sciences and healthcare applications, as well as for newly emerging dense-sensor IoT applications and human-in-the-loop supervisory-control applications.

Speakers
avatar for Dieter Gawlick

Dieter Gawlick

Architect, Oracle
With almost 50 years of experience in the IT industry I was seen and contributed to many areas, e.g., databases, transaction processing, workflow, event processing, messaging, and ML. Using ML, data (base) management systems are now able to study the structure of the data values... Read More →
avatar for Kenny  Gross

Kenny Gross

Architect, Oracle
Kenny C Gross, PhD, is an AI Architect in Oracle's Physical Sciences Research Center in San Diego, CA. Kenny specializes in advanced pattern recognition and prognostic anomaly discovery for Big Data applications in IoT industries, life sciences, and business business-critical data... Read More →


Tuesday March 20, 2018 1:10pm - 2:00pm PDT
4-Rm 104

1:10pm PDT

HOL: Machine Learning 101 with Oracle Data Miner and ADWC's Machine Learning Notebook
Limited Capacity full
Adding this to your schedule will put you on the waitlist.

Learn the fast and way to perform machine learning using SQL Developer 17.2’s Oracle Data Miner drag and drop workflow UI. Learn from multiple experts in the room who will provide 1:1 coaching, guidance and instruction as requested in performing several hands on tutorials. Ask questions, get answers and come away with a comfort level of using Oracle’s machine learning capabilities in your use cases.
Also, try the new Oracle Machine Learning (OML) Zeppelin-based notebook for the Autonomous Data Warehouse Cloud (ADWC). OML extends Oracle’s offerings for data science in the cloud. OML’s collaborative, notebook environment helps data scientists built, share, document and automate data analysis methodologies that run in ADWC. Come learn about how easy it is to use Oracle’s newest SQL notebook technology to access and view data and build and deploy predictive machine learning models.

Speakers
avatar for Charlie Berger

Charlie Berger

Sr. Dir. Product Mgmt, Oracle Machine Learning, AI, Oracle
Charlie Berger is the Sr. Director of Product Management, Machine Learning, AI and Cognitive Analytics in Oracle Server Technology. Since 1999, he has been responsible for Oracle’s machine learning—starting when Oracle acquired Thinking Machines Corporation where he was VP of... Read More →
avatar for Karl Rexer

Karl Rexer

President, Rexer Analytics
My company: www.RexerAnalytics.comI started Rexer Analytics in 2002. We're a small data science, predictive modeling & analytic CRM consulting firm. We help clients explore and understand their customers' needs, market to them more effectively, and use data to make better strategic... Read More →
avatar for Tim Vlamis

Tim Vlamis

VP and Analytics Strategist, Vlamis Software Solutions, Inc.
An Oracle Ace and expert in the visualization of data and the design of business analytics strategies, Tim combines a strong background in the application of Oracle-based business analytics and data mining with extensive experience in business modeling and valuation analysis. Tim... Read More →


Tuesday March 20, 2018 1:10pm - 3:20pm PDT
6-Bldg 500

2:30pm PDT

What's new and what's coming with Oracle DV
In this session, we will demo how to make the most of the latest capabilities of Oracle DV (Oracle Analytics Cloud, or DV for Desktop version) to analyze and visualize any data. This will navigate all the aspects of DV, Data Preparation, Data Flows, Data Viz, Machine Learning, etc. This session is open to business users and technical users, with no pre requisite knowledge of Oracle DV.

Speakers
avatar for Joseph Kuttikat

Joseph Kuttikat

Director of Product Management, Oracle Analytics, Oracle India
Joseph is a Director of Product Management for Analytics family of products at Oracle. He has 10+ years of product management expertise and overall 15+ years of software industry experience. Along with his PM responsibilities, Joseph has been an Oracle technology evangelist on multiple... Read More →
avatar for Philippe Lions

Philippe Lions

Senior Director, Oracle
Philippe has an extensive experience with BI and data intelligence, both from the business user world side and the software designer world side. His career splits between holding Business Analyst roles in several corporations and for the second half, over a decade in BI Product Management... Read More →


Tuesday March 20, 2018 2:30pm - 3:20pm PDT
1-Auditorium

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

3:35pm PDT

Forecasting the storm recovery resource allocation in electric utility network
A leading cause of power outages in the US is weather driven equipment failure events. Oracle utility customers are seeking machine learning techniques (recommended by the USDOE) to improve real-time risk assessment for critical assets based upon incoming weather forecast. Given an accurate prediction for the location, type, and amount of the storm-damaged equipment, the utility company can position the right number of specialized crews and material resources ahead of time. We develop a novel machine-learning model trained on the history of asset failures and reported weather. Since the weather-reporting stations might be far from the assets and some weather data measurements might be missing, we interpolate the weather conditions at the asset locations using a triangularization function computed with a barycentric coordinates technique implementation. We report performance comparison of multiple machine learning models to recommend the best damage prediction tool.

Speakers
avatar for Kenny  Gross

Kenny Gross

Architect, Oracle
Kenny C Gross, PhD, is an AI Architect in Oracle's Physical Sciences Research Center in San Diego, CA. Kenny specializes in advanced pattern recognition and prognostic anomaly discovery for Big Data applications in IoT industries, life sciences, and business business-critical data... Read More →
avatar for Andrew Vakhutinsky

Andrew Vakhutinsky

Consulting Member of Technical Staff, Oracle
Andrew Vakhutinsky is a Consulting Member of Technical Staff at Oracle Labs. He has Ph.D. in Operations Research from University of Maryland, College Park, and M.Sc. in Physics and Applied Mathematics from Moscow University of Physics and Technology. Andrew's previous experience includes... Read More →


Tuesday March 20, 2018 3:35pm - 4:05pm PDT
4-Rm 104

4:20pm PDT

Introducing Oracle R Enterprise 1.5.1 New Features
Oracle R Enterprise, a component of the Oracle Advanced Analytics Option, makes the open source R statistical programming language and environment ready for the enterprise and big data. Designed for problems involving both large and small volumes of data, Oracle R Enterprise integrates R with Oracle Database, enabling R users to run R commands and scripts for statistical, machine learning, and graphical analyses on database tables. In this session, we will briefly introduce Oracle R Enterprise, but focus on the new features of Oracle R Enterprise 1.5.1, including:
  • OREdplyr - transparncy layer package based on the popular and powerful dplyr package from the tidyverse
  • OAAgraph - enabling combining Oracle Spatial and Graph PGX with OAA machine learning from a common R interface
  • Explicit Semantic Analysis algorithm - new text analytics capability to extract features based on human curated topics, such as from Wikipedia
  • Partititioned models - automated building and scoring of predictive models based on  data partitions
  • and more...
Join us to see what how you could take your R-based analytics to the next level of functionality, scalability, and performance.

Speakers
avatar for Mark Hornick

Mark Hornick

Senior Director, Oracle
Mark Hornick is the Senior Director of Product Management for the Oracle Machine Learning (OML) family of products. He leads the OML PM team and works closely with Product Development on product strategy, positioning, and evangelization, Mark has over 20 years of experience with integrating... Read More →


Tuesday March 20, 2018 4:20pm - 5:10pm PDT
2-Rm 102
 
Wednesday, March 21
 

9:00am PDT

HOL: Using R for Big Data Advanced Analytics, Machine Learning, and Graph
Limited Capacity full
Adding this to your schedule will put you on the waitlist.

Oracle R Enterprise (ORE), a component of the Oracle Advanced Analytics Option, provides a comprehensive, database-centric environment for end-to-end analytical processes in R, enabling immediate deployment to production environments. Entire R scripts can be operationalized in production applications - eliminating the need to port R code. Using ORE with Oracle Database enables R users to transparently analyze and manipulate data in Oracle Database thereby eliminating memory constraints imposed by client R engines. In this hands-on lab, attendees will work with the latest Oracle R Enterprise software, getting experience with the transparency layer, machine learning algorithms, and embedded R execution. Working with the instructors through scripted scenarios, users will understand how R is used in combination with Oracle Database to analyze big data.

Speakers
avatar for Mark Hornick

Mark Hornick

Senior Director, Oracle
Mark Hornick is the Senior Director of Product Management for the Oracle Machine Learning (OML) family of products. He leads the OML PM team and works closely with Product Development on product strategy, positioning, and evangelization, Mark has over 20 years of experience with integrating... Read More →


Wednesday March 21, 2018 9:00am - 10:55am PDT
6-Bldg 500

10:05am PDT

Serverless Computing for Machine Learning
Serverless architecture (or function as a service, FaaS) is THE new trend in the cloud. It’s an often used, highly efficient, well established technology and common building block in all major public clouds. Did I mention it typically saves 2 orders of magnitude of IT spending?
This session is about technology and clouds first of all. You don’t have to be an expert to attend it. It brings you up to date and gives an overview of serverless computing technology, Function as a Service and the Fn Project which was open sourced recently at Java One 2017. 
Fn Project is the Oracle driven, open source FaaS framework with Docker as the only dependency. Fn Project can run on premises as well as in all clouds and allow interesting use cases for Machine Learning / AI.

Speakers
avatar for Frank Munz

Frank Munz

Director, munz & more
Frank Munz is an expert in middleware and distributed computing. He earned a Ph.D. in computer science from the Technische Universität München with summa cum laude for his work on distributed computing and brain research. He published more than 20 peer reviewed scientific papers... Read More →


Wednesday March 21, 2018 10:05am - 10:55am PDT
5-Rm 105

10:05am PDT

Follow the Money: A Graph Model for Monitoring Bank Transactions
Examining the flow of bank transactions is key to analyzing financial operations such as fraud detection, client segmentation, personalized offers, risk modeling, client retention, etc. In particular, bank analysts are challenged to understand the behavior of companies that make large bank deposits and then transfer significant sums – to entities both inside and outside the bank’s network. They are also challenged by the limitation of relational and traditional BI tools to effectively model and analyze the money flows between a customer, its bank, and external 3rd parties. Banco Galicia has addressed this challenge by modeling money flows as a complex graph of transactions. The result is a powerful approach to support the analysis and visualization of money flows across a large network of bank-affiliated transactions. This session will desdescribe how Banco Galicia uses Oracle Big Data Spatial and Graph to understand the topology and behavior of money transfers.

Speakers
avatar for Federico Garcia Calabria

Federico Garcia Calabria

Senior Consultant, Oracle
Federico Garcia Calabria has a college Degree in Informatics Engineer and a Masters Degree in Data Mining. He currently works as a Senior Consultant in Oracle Consulting Services where he has been contributing primarily as a Big Data/Business Intelligence/SOA analyst on banking and... Read More →


Wednesday March 21, 2018 10:05am - 10:55am PDT
3-Rm 103

11:10am PDT

Machine Learning and Advanced Analytics in the Oracle Analytics Cloud
This session will focus on the built-in capabilities of Oracle Analytics Cloud and OBIEE 12c to do predictive analytics and machine learning. Clustering, forecasting, anomaly detection are all available as single-click built-in functions using R. We’ll show not only the business use cases for these functions, but also how to extend and interpret the results sets from advanced analytic algorithms. We’ll cover how to leverage the power of R (the world’s most popular programing language for advanced analytics) through Oracle’s packages and through the thousands of open source packages available. We’ll also show the latest capabilities for building and scoring data using machine learning models in OAC and OBIEE 12c.

Speakers
avatar for Tim Vlamis

Tim Vlamis

VP and Analytics Strategist, Vlamis Software Solutions, Inc.
An Oracle Ace and expert in the visualization of data and the design of business analytics strategies, Tim combines a strong background in the application of Oracle-based business analytics and data mining with extensive experience in business modeling and valuation analysis. Tim... Read More →


Wednesday March 21, 2018 11:10am - 12:00pm PDT
1-Auditorium

11:10am PDT

Operationalizing Machine Learning
Most data science projects begin with data, “tools” and scripts but fail to get beyond the data scientist. They hit a wall when attempting to “operationalize” the models. Netflix never implemented the algorithm that won the Netflix $1 Million Challenge. This dichotomy between enterprise and algorithms is eliminated when algorithms are built into the data management platforms. By “moving algorithms to the data”, Oracle Database and Big Data Clouds are now data management and advanced analytical platforms. “Robots” can replicate human tasks by capturing best practices discovered in the data and automating that process using machine learning deployed models. Developers use SQL, R and Oracle Data Miner UI to build, evaluate and deploy advanced analytical methodologies. See how to go beyond “tools” to enabling RPA (robotic process automation) applications. Several Oracle “predictive” Applications will be shown as examples._x000D_

Speakers
avatar for Charlie Berger

Charlie Berger

Sr. Dir. Product Mgmt, Oracle Machine Learning, AI, Oracle
Charlie Berger is the Sr. Director of Product Management, Machine Learning, AI and Cognitive Analytics in Oracle Server Technology. Since 1999, he has been responsible for Oracle’s machine learning—starting when Oracle acquired Thinking Machines Corporation where he was VP of... Read More →


Wednesday March 21, 2018 11:10am - 12:00pm PDT
2-Rm 102

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

2:20pm PDT

Anomaly detection and machine learning - with Oracle Management Cloud
The Oracle Management Cloud is a broad platform which has great capabilities on mining data and perform machine learning in order to detect anomalies in your IT systems. In this way you will be able to pro actively detect possible bottlenecks, predict peak loads so you can take the necessary actions to scale your system. In this session it will be explained how to use these features.

Speakers
avatar for Michel Schildmeijer

Michel Schildmeijer

Lead Technologist, Qualogy
Having made his start in the pharmacy sector, Michel transitioned to IT in 1996, working on a UNIX TTY terminal-based system and the MUMPS language. He currently works as a solutions architect at Qualogy, with a focus on middleware, application integration and service-oriented architecture... Read More →


Wednesday March 21, 2018 2:20pm - 3:10pm PDT
1-Auditorium

3:25pm PDT

The Open Source and Cloud part of Oracle's Big Data for Beginners
There are zillions of Open Source big data projects these days. However, in this session you will learn about the core principles of 4 key technologies that are most often used in projects: Hadoop, Spark, Hive, and Kafka. We first explain the fundamentals of those 4 big data technologies. Then you will see how to make the first easy steps into the big data world yourself with Oracle Big Data Cloud Service Compute Edition and Oracle Event Hub Cloud Service live demos.

Speakers
avatar for Frank Munz

Frank Munz

Director, munz & more
Frank Munz is an expert in middleware and distributed computing. He earned a Ph.D. in computer science from the Technische Universität München with summa cum laude for his work on distributed computing and brain research. He published more than 20 peer reviewed scientific papers... Read More →


Wednesday March 21, 2018 3:25pm - 4:15pm PDT
4-Rm 104

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

4:30pm PDT

Anomaly Detection in Medicare Provider Data using OAAgraph
Graph analysis is an effective methodology in data analysis which considers fine-grained relationships between data entities. This session presents an example of anomaly detection using graph analysis on data stored in Oracle Database with Oracle R Enterprise and the OAAgraph package, using a real-world public data set.
Specifically, we analyze the public information of medical transactions from CMS (United States Center for Medicare and Medicaid Services) for the year 2012. We load this data set as a graph into Oracle Database, and use the OAAgraph package to apply graph analysis algorithms whose results are be visualized using R's ggplot2 visualization package. 
Our analysis successfully identifies suspicious records in the data set -- medical providers who perform procedures far from their specialties. We also discuss techniques how to reduce false positive outcomes. 

Speakers
avatar for Sungpack Hong

Sungpack Hong

Research Director, Oracle
Research Director at Oracle Labs.Leading projects regarding large-scale graph and data analysis -- platforms and applications
avatar for Mark Hornick

Mark Hornick

Senior Director, Oracle
Mark Hornick is the Senior Director of Product Management for the Oracle Machine Learning (OML) family of products. He leads the OML PM team and works closely with Product Development on product strategy, positioning, and evangelization, Mark has over 20 years of experience with integrating... Read More →
FM

Francisco Morales

Software Developer, Oracle Labs


Wednesday March 21, 2018 4:30pm - 5:00pm PDT
2-Rm 102
 
Thursday, March 22
 

8:45am PDT

New Machine Learning capabilities: Interacting with Spark DF in ORAAH
The newly redesigned ORAAH (Oracle R Advanced Analytics for Hadoop) brings a complete rewrite of it's I/O model, allowing for the use of a complete in-memory pipeline, from data transformation and loading all the way to Machine Learning models and predictions. In addition to that, a new transparency layer to Impala, plus the option to run HIVE on Spark queries, can keep the data always in-memory across different platforms. A new Extreme Learning Machine algorithm will be introduced, and enhancements on the Logistic and Linear Regression algorithms will increase scalability even more. Benchmarks with the new features will be presented on typical use cases by customers, from predicting flight cancellations and delays to Image Classification.

Speakers
avatar for Marcos Arancibia

Marcos Arancibia

Product Manager, Oracle Data Science and Big Data, Oracle
Marcos Arancibia is the Product Mgr for Oracle Data Science and Big Data, working with Machine Learning in the Oracle Database and on Hadoop/Spark clusters. He is charted with developing a comprehensive platform for enabling a new class of analytical workloads encompassing techniques... Read More →


Thursday March 22, 2018 8:45am - 9:35am PDT
1-Auditorium

8:45am PDT

Analyzing Blockchain and Bitcoin Transaction Data as Graph
Blockchain technology and Bitcoin will potentially revolutionize business transactions. Blockchain offers a robust, decentralized platform for privacy and trust. It underlies the digital crypto-currency Bitcoin, which can be exchanged freely and anonymously, without a central authority. Bitcoin transactions - recorded publicly, and growing at a rate of 100,000's of transactions per day - provide an invaluable dataset to gain insight into the behavior of digital currency and the underlying Blockchain technology. Blocks, transactions with potential multiple inputs and outputs, and flow of bitcoins between addresses, form a sophisticated real-time graph. This talk details a pipeline used to gather bitcoin transaction data and analyze it with powerful graph cloud database technologies.

Speakers
avatar for Xavier Lopez

Xavier Lopez

Senior Director, Oracle
Xavier Lopez is Senior Director of Product Management in Oracle's Spatial and Graph products group.  Over the last 20 years he has played a key role championing the development of spatial and graph database technologies in Oracle. He is currently focusing on the development... Read More →
avatar for Zhe Wu

Zhe Wu

Architect, Oracle
Zhe Wu is an architect working on semantic and graph technologies in Oracle USA. He leads the design, architecture, and development of the inference engine for W3C RDFS/SKOS/OWL in the database, Java APIs for RDF Semantic Graph, RDF triple-level security, SQL-based graph analytics... Read More →


Thursday March 22, 2018 8:45am - 9:35am PDT
3-Rm 103

8:45am PDT

HOL: Oracle DV & ML : come try it live !
Limited Capacity seats available

Come to this hands on lab to run Advanced Analytics & Machine Learning models in Oracle DV and build stunning visualizations with it!

Speakers
avatar for Joseph Kuttikat

Joseph Kuttikat

Director of Product Management, Oracle Analytics, Oracle India
Joseph is a Director of Product Management for Analytics family of products at Oracle. He has 10+ years of product management expertise and overall 15+ years of software industry experience. Along with his PM responsibilities, Joseph has been an Oracle technology evangelist on multiple... Read More →
avatar for Philippe Lions

Philippe Lions

Senior Director, Oracle
Philippe has an extensive experience with BI and data intelligence, both from the business user world side and the software designer world side. His career splits between holding Business Analyst roles in several corporations and for the second half, over a decade in BI Product Management... Read More →


Thursday March 22, 2018 8:45am - 10:40am PDT
2-Rm 102

9:50am PDT

Analytic platform with a hybrid approach of home grown and vendor tools
Adopting any new technology is daunting, in addition to peer pressure, there is also a need to size up as data grows, all without breaking the bank. The original BIWA 2015 presentation was on how any IT shop can build a commodity Hadoop cluster with Dell servers, Redhat Linux, Infiband network cards and Cloudera HDFS. Most of the coding was in Java, and OLH (Oracle Loader for Hadoop) was used to load data into an Oracle 12c in-memory table (presented at OOW15). The expertise of Computer Science faculty, staff and students was used for the full project with vendor support.The group has since enhanced the cluster with SSD (Solid State Drives) and SPARK2, and written Python Spark Machine Learning code to  analyze Gigabyte size aircraft  logs. The visualization of the data using R-Oracle has been planned for the future.

Speakers
AA

Abhinav Arya

Research Intern, Naval Postgraduate School
avatar for Arijit Das

Arijit Das

Research Associate, Naval Postgraduate School
Arijit Das is a computer scientist with BS/MS degrees in Computer Science (MNREC, India & Oregon State University) and an MSEE from University of Nevada Las Vegas. He currently is a research faculty at the Computer Science Department of the Naval Postgraduate School in Monterey, California... Read More →
JZ

Jim Zhou

Researcher, NPS


Thursday March 22, 2018 9:50am - 10:40am PDT
4-Rm 104

10:55am PDT

Fighting supply chain risks with Blockchain and IoT
Modern global supply chains are highly complex ecosystems. Despite decades of innovations to streamline and optimize operations, companies still consistently face challenges with end-to-end visibility, product tracking, bootlegging, fraud, compliance, safety, and delivery speed. Supply chain-related crimes and disruptions cost companies billions of dollars annually across the globe.

This session showcases how blockchain, IoT and machine learning can be harnessed to fight some of the key supply chain risks and challenges of today.  When implemented right, this solution improves customer trust, minimizes losses and optimizes end to end operations. The session will cover the use cases, technical architecture and implementation considerations.

Speakers
avatar for Anant Kadiyala

Anant Kadiyala

Director - Blockchain & IoT Industry Solutions, Oracle
Anant Kadiyala is director of blockchain and IoT industry solutions at Oracle. He is a specialist in digital transformation and applied innovation. Anant is currently building solutions that drive supply chain transparency, visibility and agility. He has published numerous articles... Read More →


Thursday March 22, 2018 10:55am - 11:45am PDT
2-Rm 102

10:55am PDT

Oracle & R -- Advanced Analytics on Steroids
The value of Oracle R Enterprise and the ability to use custom R scripts in various Oracle analytics tools cannot be understated. …But how do you use R to maximize your organization’s analytics? From the standard, included scripts to custom scripts, this session will focus on making sure the “secrets” are known about using R scripts in Oracle analytics tools.

Speakers
avatar for Sarah Zumbrum

Sarah Zumbrum

VP BI and Analytics, Accelytics
Sarah Craynon Zumbrum is an Oracle ACE Alumni (Director) currently a Public Sector Enterprise Cloud Architect specializing in Business Intelligence and Analytics for Oracle. She has previously worked in-house as a business intelligence architect and as an EPM consultant, specializing... Read More →


Thursday March 22, 2018 10:55am - 11:45am PDT
1-Auditorium

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

1:30pm PDT

Why IoT is the killer use case for AutoML
While AI/ML has matured enough to solve many real-world problems effectively, this process typically requires close interactions between three separate skill sets – the domain expert, the data scientist and the programmer. A typical IoT user is a line-of-business person such as a Plant Supervisor or a Fleet Manager. AutoML enables automatic selection of the most appropriate algorithm that suits the domain problem learned based on the interactions with domain expert. Also, AutoML automatically selects the hyper parameters and tunes the models without requiring data scientist skills. Furthermore, AutoML automates the repetitive analytics needed for retraining models warranted by the high velocity IoT data. Therefore, AutoML is the key enabler of analytics in the industrial IoT. Since the typical business benefits in IoT involve significant savings, IoT is the killer use case for AutoML. We will present how Oracle IoT Cloud applies AutoML for industrial IoT problems.

Speakers
avatar for Viji Krishnamurthy

Viji Krishnamurthy

Sr. Director - Product Management, Oracle
Viji Krishnamurthy manages IoT analytics products in Oracle IoT group. She holds a Ph.D. in Operations Research from Northwestern University and as a data scientist, she has helped to optimize product quality, supply chain and pricing. Viji has also managed IoT platforms and analytics... Read More →


Thursday March 22, 2018 1:30pm - 2:20pm PDT
6-Rm 106

1:55pm PDT

Oracle Machine Leaning & Adaptive Intelligent Applications for Manufacturing
In this session learn about Oracle's soon to be released prepackaged "SaaS on PaaS" cloud applications called "Adaptive Intelligent Applications for Manufacturing". This product is built directly on top of several Oracle’s PaaS components to collect, store, and analyze massive amounts of Operational Technology (OT) data coming from shopfloor systems such as MES, quality systems, LIMS, Equipment, Test stations and contextualizes this data with Information Technology (IT) data residing in HCM/CRM/SCM/ERP applications in a single consolidated operational data store and analyzed by applying advanced analytics, data mining/data science, and AI techniques to discover key patterns and correlations from historical data related to manufacturing efficiencies and also provide actionable predictive analytics to improve yield, reduce defects, reduce scrap, minimize cycle times, manufacturing costs, and equipment downtime.

Speakers
avatar for Gopal Ratnam

Gopal Ratnam

Sr. Director, Product Management & Strategy, Oracle
Software leader with proven track record of product ideation, execution, and management of cutting edge SaaS solutions that enable business and digital transformation for enterprises. Drive performance through dynamic leadership, strategic planning, process design, product innovation... Read More →


Thursday March 22, 2018 1:55pm - 2:20pm PDT
1-Auditorium

3:40pm PDT

Getting Started with Graphs on Oracle Database Cloud Service
With Oracle Database Release 12.2, property graph capabilities are now offered in Oracle Spatial and Graph, and can be easily deployed in Oracle Database Cloud Service. You can store and model graph data, and run sophisticated graph analytics such as detecting patterns and generating recommendations using the In-Memory Parallel Graph Analytics (PGX) engine. This session walks you through the steps, including how to enable Oracle Database Cloud Service with property graph capability, set up a remote PGX server with Oracle Java Cloud Service, and run queries for graph analysis.

Speakers
avatar for David Lapp

David Lapp

Product Manager, Oracle
David Lapp is senior principal product manager for Oracle's spatial and graph technologies, focused on Cloud and Big Data solutions. His experience includes working as Spatial and Business Intelligence solutions specialist in Oracle's Public Sector group, where he engaged with several... Read More →
CW

Charles Wang

Consultant, Oracle Spatial and Graph, Oracle
avatar for Zhe Wu

Zhe Wu

Architect, Oracle
Zhe Wu is an architect working on semantic and graph technologies in Oracle USA. He leads the design, architecture, and development of the inference engine for W3C RDFS/SKOS/OWL in the database, Java APIs for RDF Semantic Graph, RDF triple-level security, SQL-based graph analytics... Read More →


Thursday March 22, 2018 3:40pm - 4:05pm PDT
3-Rm 103

4:05pm PDT

Enhance the Value of Dark Data - Unstructured Text
DarkdataSpot® creates Guidance-Seeking queries to find better answers faster and create efficiencies which ultimately leads to confident decisions that deliver rapid return on investment (ROI). Live Demo: https://www.youtube.com/watch?v=fAorPSVjVYU

Speakers
avatar for Albert Rojas

Albert Rojas

Founder, DarkdataSpot.com
Albert Rojas Enterprise Software Sales Engineer | Big Data | Self Service JPMorgan Chase & Co.University of California, San DiegoGreater New York City Area 500+ 500+ connections


Thursday March 22, 2018 4:05pm - 4:30pm PDT
3-Rm 103
 

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