Loading…
Thanks for a great Analytics and Data Summit 2019 event. We hope to see you next year Feb 25-27, 2020!
To download the presentations you must first sign up with Sched for free (easy and fast!)
  • Sessions appear in the color of their primary track and can be filtered using Products on the right
  • Use the Search bar for more flexibility
See this link for hints on how to search the schedule


Sign up or log in to bookmark your favorites and sync them to your phone or calendar.

Artificial Intelligence and Machine Learning [clear filter]
Tuesday, March 12
 

10:10am

Deep Learning De-Mystified for Non-Data Scientists
As with machine learning, deep learning is often quoted but less often understood. In this session get a layman’s view of deep learning. This won’t make you a data scientist, but it will help you understand the basics. Get an overview of the underlying techniques, learn how neural networks operate, see some of the deep learning frameworks, and dive into some use cases of deploying the technology.

Speakers
avatar for Peter Jeffcock

Peter Jeffcock

Product Marketing, Oracle
Peter Jeffcock works in product marketing at Oracle, and has focused on Oracle's Big Data and Data Science platforms for the last 8 years. He is responsible for marketing and promoting these products into multiple market segments, as well as delivering training for both sales and... Read More →


Tuesday March 12, 2019 10:10am - 11:00am
1-Rm 102 350 Oracle Parkway, Redwood City, CA, United States
  • Field 2 general

10:10am

Generation Two: Data Lakes and Data Science on Oracle Cloud Infrastructure
Have you thought about how you will enable your AI strategy to work hand-in-hand with the full power of your enterprise data assets? Has it been aligned with a cloud first data lake and data management strategy? Have you thought through how it will be economically efficient - truly elastic - while also being performant, secure and highly available? Join this session to see how Oracle has taken a new integrated approach to a cloud native data lakes and data science on Oracle Cloud Infrastructure. Through a combination of product development updates, live demonstrations and customer stories, see how Oracle is building out a cloud native, open and enterprise class set of services for data lakes and data science on Oracle Cloud Infrastructure.

Speakers
avatar for Mike Lehmann

Mike Lehmann

VP Product Management, Oracle, Big Data and Data Science
Mike Lehmann is Vice President of Product Management for Oracle Cloud Infrastructure leading a team responsible for developing and delivering a collection of modern Data Lake and Data Science cloud services. Prior to this role, Mike led product teams responsible for building out a... Read More →


Tuesday March 12, 2019 10:10am - 11:00am
3-Rm 104

10:10am

What's new and what's coming with Oracle Analytics Cloud
In this session, we present the latest capabilties of Oracle Analytics Cloud (OAC) and their business value to end-users. The session will include numerous live product demonstrations. Aspects of the current roadmap and immediate upcoming OAC features will be presented too. Come and see us in this session if you are simply curious about OAC or if you are familiar with the product and interested in the latest capabilities and roamap.

Speakers
avatar for Philippe Lions

Philippe Lions

Sr. Director, Product Management/Strategy, 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 12, 2019 10:10am - 11:00am
6-Rm 203

10:10am

Microservices Essentials: Kubernetes and its Eco system, Data and Tx Patterns
This session is the first of a two-part series. The promises of the microservices model include reduced complexity, a module-specific data model,greater scaling at service level, faster development (API-First, Events-First, Domain Driven Design) and deployment (blue/green, ...), fault isolation, and so. In this session, we walk you through the essentials of microservices including: containers, orchestration, security, monitoring, tracing, servless/functions; data and transaction patterns such as event source, CQRS, Sagas; the various standards and services of it's container-native platform's eco-system including the Oracle Cloud Infrastructure Container Engine for Kubernetes, OCI Registry, other OCI services, the Open Service Broker, Event Broker, CloudEvents, Istio service mesh as well as Kiali, Prometheus, Zipkin, and Grafana; and the Java MicroProfile. A demo will put all these in action and perspective.

Speakers
avatar for Kuassi Mensah

Kuassi Mensah

Director Product Management, Oracle USA
Kuassi is Director of Product Management at Oracle. He covers the following product areas (i) Java connectivity to DB  (Cloud,  on-premises): JDBC, Async Db Access (ADBA),  in-place DB processing with embedded JVM  (ii) Zero downtime, multi-tenancy, and sharding for Java apps... Read More →
avatar for Paul Parkinson

Paul Parkinson

Cloud Developer - Transaction Processing Lead, Oracle Corporation
Microservices and Cloud Development  Specialties:  Microservices  Cloud Development Transaction      Processing High-Availability Distributed Systems Kubernetes along with cloud providers and related            technologies Oracle database including RAC Game Developme... Read More →


Tuesday March 12, 2019 10:10am - 11:00am
4-Rm 105

11:15am

Oracle's Machine Learning Overview, New Features and Road Map
Oracle has been embedding machine learning algorithms into the SQL kernel of the Oracle Database for many years. Oracle Advanced Analytics 18c delivers significant performance gains and new algorithms including Random Forests, Neural Networks, Unsupervised Feature Selection, Partitioned models and Market Basket Analysis improvements. Data scientists can build models in-database on billions of records in minutes and “scores” millions of records in seconds. Now, Oracle Machine Learning, bundled in the Oracle Autonomous Database, adds collaborative machine learning notebooks for data scientists. Oracle also has added a Python API (OML4Py), ORAAH and new Cognitive Analytics for images, text and deploying models as Microservices. Oracle “moves the algorithms to the data” for hybrid data management and machine learning platforms that enable enterprise-wide machine learning model deployment. Come hear about the latest developments and what’s coming next from Oracle.

Speakers
avatar for Charlie Berger

Charlie Berger

Senior Director, Product Management, 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 12, 2019 11:15am - 12:05pm
1-Rm 102 350 Oracle Parkway, Redwood City, CA, United States

1:10pm

An Oracle database approach to the Taxi Fare problem
The Taxi Fare prediction problem is a well known in machine learning (ML): we have to design, train and test a ML model to predict the taxi fare a customer of the NY City cab company will pay for a ride. This is a basic example used in several ML introductory courses and also ML and artificial intelligence (AI) websites as foundation for more advanced topics. In this presentation, we will work with the publicly available data to have it prepared to use the ML functions of Oracle Advanced Analytics embedded in Oracle Database and, more importantly, the new neural network algorithm introduced in 18c. We will see how the data was prepared, some powerful tools included in the Oracle Data Miner component of SQL*Developer, the PL/SQL code involved to create the model and, of course, some testing. All with a live demo.




Speakers
avatar for Jose Rodriguez

Jose Rodriguez

Oracle Project Engineer, Pythian
Jose Rodriguez is a project engineer at Pythian with deep expertise in a wide range of technologies including Oracle, SQL Server, DB2 and PostgreSQL databases. He is passionate about technology and is always looking for the latest tool that will enhance future projects, and deliver... Read More →


Tuesday March 12, 2019 1:10pm - 2:00pm
1-Rm 102 350 Oracle Parkway, Redwood City, CA, United States

1:10pm

(HOL) Machine Learning 101 with SQL Developer's Oracle Data Miner Drag and Drop" UI "
Learn the fast and easy way to get started performing machine learning with Oracle SQL Developer 18.3’s Oracle Data Miner drag-and-drop workflow UI. In this introductory hands-on lab, learn from experts who will provide one-on-one coaching, guidance, and instruction as requested in several easy to follow Hands-On-Lab Tutorials. Learn how to explore data and apply machine learning algorithms for common ML use cases e.g. prediction, clustering, key factors identification, anomaly detection and market basket analysis. Follow step-by-step tutorial instructions in a machine learning-friendly environment. Ask questions, get answers and come away with basic understanding and a comfort level for using Oracle’s machine learning capabilities on your own data and use cases.

Speakers
avatar for Charlie Berger

Charlie Berger

Senior Director, Product Management, 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 & Analytics Strategist, Vlamis Software Solutions
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 12, 2019 1:10pm - 2:00pm
5-Rm 202 HOL

2:30pm

Buyer persona creation using clustering algorithms
The agenda of the presentation is to develop buyer personas by clustering analysis. Personas are the primary tools used by marketing to reach out to their customers and optimize marketing budgets. I will start by defining clustering which is an unsupervised machine learning technique. Then we will talk about why personas are important from a marketing and business standpoint. We will have high level overview of how we could select the relevant customer base, and what features could be included, and deep dive into what scaling techniques and different types of clustering algorithms that could be explored - hierarchical, kmeans and density based. Finally we discuss cluster visualization techniques, cluster evaluation metrics, and how we finally chose k in the selected kmeans model.


Speakers
avatar for Saksham Grover

Saksham Grover

Data Scientist, Nordstrom
I am currently a data scientist with Nordstrom in the customer and product data science team.  I graduated in masters in analytics from the University of Southern California (USC) Marshall school of business. My areas of interest are segmentation, NLP and impact analysis. I am motivated... Read More →


Tuesday March 12, 2019 2:30pm - 2:55pm
1-Rm 102 350 Oracle Parkway, Redwood City, CA, United States

2:30pm

(HOL) Machine Learning 202: Oracle Autonomous Database & Machine Learning Notebooks
Try out the new Oracle Machine Learning Zeppelin-based notebooks that come with the Oracle Autonomous Database in this introductory Hands-On-Lab. Oracle Machine Learning extends Oracle’s offerings in the cloud with its collaborative notebook environment that helps data scientist teams build, share, document, and automate data analysis methodologies that run 100% in the Oracle Autonomous Database. Interactively work with your data, build, evaluate and apply machine learning models. Import, export, edit, run and share Oracle Machine Learning notebooks with other data scientists and colleagues all on the Oracle Autonomous Database. Share and further explore your insights and predictions using the Oracle Analytics Cloud.

Speakers
avatar for Tim Vlamis

Tim Vlamis

VP & Analytics Strategist, Vlamis Software Solutions
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 →
avatar for Derrick Cameron

Derrick Cameron

Master Principal Solutions Engineer, Oracle Americas Inc.
Derrick Cameron is part of Oracle's Solution Engineering Developer Innovation Team, and is a 25+ year Oracle veteran. His career journey is varied, starting out as an EBS implementation consultant and moved on to develop deep expertise in Analytics and Data Management. Over the years... Read More →
avatar for Charlie Berger

Charlie Berger

Senior Director, Product Management, 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 12, 2019 2:30pm - 3:20pm
5-Rm 202 HOL

2:30pm

Avoiding The Hidden Complexities of Stateful Microservices Development
This session is the second of a two-parts series. In this session, we walk you through the hidden complexities of microservices development and deployment then discusses the potential solutions. As independent entities, each microservice has its own dataset and data model, perhaps a no shared database. What are the operational trade-offs for sustaining global, large-scale, multi data modals and mission critical microservices based applications? Microservices need to make changes to their states/dataset and publish messages; how to guarantee the atomicity of database operations and Events? Business transactions span several microservices that each commit their own work; compensations ensure the consistency of distributed transactions (SAGAs). What if the database could furnish compensation aware data types? Want to modernize your monolithic applications into microservices? The session discusses and presents a tool for helping domain driven design and bounded contexts

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 Kuassi Mensah

Kuassi Mensah

Director Product Management, Oracle USA
Kuassi is Director of Product Management at Oracle. He covers the following product areas (i) Java connectivity to DB  (Cloud,  on-premises): JDBC, Async Db Access (ADBA),  in-place DB processing with embedded JVM  (ii) Zero downtime, multi-tenancy, and sharding for Java apps... Read More →
avatar for Paul Parkinson

Paul Parkinson

Cloud Developer - Transaction Processing Lead, Oracle Corporation
Microservices and Cloud Development  Specialties:  Microservices  Cloud Development Transaction      Processing High-Availability Distributed Systems Kubernetes along with cloud providers and related            technologies Oracle database including RAC Game Developme... Read More →


Tuesday March 12, 2019 2:30pm - 3:20pm
4-Rm 105

3:35pm

Unlocking the meaning of unstructured content
Unstructured content is everywhere. [Gartner estimates upwards of 80% content in a enterprise is unstructured]. This content is valuable only when Content Creators and Content Consumers discover the right content at the right time. In this session, we introduce the use of machine learning technologies to improve content discoverability by unlocking meaning from unstructured content. Some of the areas we cover are:
  • Automatic tagging and classification that works for images, videos, and long form text content. This effort helps us improve search, organization and reduce duplication of content.
  • Visual search - Find similar looking images
  • Industry first smart authoring interface that finds relevant assets in real time during content authoring

Speakers
avatar for Sandip Ghoshal

Sandip Ghoshal

Senior Member Technical Staff, ORACLE INDIA PVT LTD
Sandip Ghoshal is a Senior Member Technical Staff at Oracle Corporation, since 2017.He is responsible for the Machine Learning and AI related development of Oracle Content and Experience Cloud and works closely with the Oracle Machine Learning Team.Sandip holds a Master's degree in... Read More →
avatar for Sree Kamireddy

Sree Kamireddy

Sr Principal Product Manager, Oracle
Sree Kamireddy is a PM on Oracle Content and Experience team. He isresponsible for product roadmap focused on unlocking value out of content using current state of the art ML technologies. Before Oracle he helped ship several products related to Personalization, Search, Big Data and... Read More →


Tuesday March 12, 2019 3:35pm - 4:05pm
1-Rm 102 350 Oracle Parkway, Redwood City, CA, United States

4:20pm

Introducing Oracle Machine Learning for Python
Oracle Machine Learning for Python (OML4Py), a component of the Oracle Advanced Analytics Option, makes the open source Python scripting language and environment ready for the enterprise and big data. Designed for problems involving both large and small volumes of data, Oracle Machine Learning for Python integrates Python with Oracle Database. Python users can run Python commands and scripts for statistical, machine learning, and graphical analyses on data stored in Oracle Database. Python users can develop, refine, and deploy Python scripts that leverage the parallelism and scalability of Oracle Database. Users can incorporate Python packages and operationalize Python scripts for analytical applications using Oracle Database spawned and controlled Python engines. Oracle Machine Learning for Python allows users to manipulate data in Oracle Database tables and views using Python syntax, but translating Python functions into SQL for in-database execution. Oracle Machine Learning for Python introduces automated model selection via hyperparameter tuning and automated feature selection to enhance model accuracy and performance.

Speakers
avatar for Mark Hornick

Mark Hornick

Director, Oracle
Mark Hornick is a Director for Oracle Advanced Analytics Product Management, focusing on Oracle R Enterprise (ORE), Oracle R Advanced Analytics for Hadoop (ORAAH), and the new Oracle Machine Learning for Python (OML4Py). He works with internal and external customers in the application... Read More →


Tuesday March 12, 2019 4:20pm - 5:10pm
1-Rm 102 350 Oracle Parkway, Redwood City, CA, United States
 
Wednesday, March 13
 

10:05am

Optimization of the Hotel Room Assignments with Room Upgrades
The project aims to provide Oracle's OPERA Property Management System (PMS) for hotels the ability to automate the room assignment process through a data-driven optimization algorithm. We build a multi-objective function which leverages several factors, such as reservation preferences, guest importance, and upgrade costs, to simulate the hard and soft business constraints for assignment, currently handled as time-consuming manual tasks by the hotel staff. The algorithm is designed to differentially weigh guests' satisfaction and hotel operational efficiency in order to provide a configurable solution for changing business dynamics. In our presentation, we describe the flow of our algorithm, the pre-optimization analytics, and how we manage the various constraints specific to the hospitality domain when solving this assignment problem, with minimal inputs from the PMS user.
 



Speakers
avatar for Dhruv Agarwal

Dhruv Agarwal

Software Engineer, Oracle HGBU
"Any sufficiently advanced technology is indistinguishable from magic." - Arthur C. Clarke's 3rd Law.I am a passionate Software Engineer in constant pursuit of this magic. Strongly skilled at programming in JAVA, C/C++, JavaScript, PHP, and Python amongst others, I have a demonstrated... Read More →
avatar for Anirban Banerjee

Anirban Banerjee

Software Engineer, Oracle
Avid programmer and tech enthusiast who loves tackling challenging problems. Currently working as a software developer at Oracle. Always on the look out for new learning opportunities.
avatar for Akash  Chatterjee

Akash Chatterjee

Software Engineer, Oracle HGBU
I am part of Oracle Hospitality's AI and Data Science team.Opportunities to create an efficient amalgam of machine learning techniques and domain specific use cases excite me.Always up for conversations on technological disruptions, music, football or simply a random espionage novel... Read More →


Wednesday March 13, 2019 10:05am - 10:30am
1-Rm 102 350 Oracle Parkway, Redwood City, CA, United States
  • Field 2 general

10:05am

Analysis and Interpretation of 3D Point Clouds Based on Machine Learning
Today, landscapes, cities, and infrastructure networks are commonly captured using LiDAR or image-based remote sensing technologies at regular intervals. The resulting 3D point clouds are digital twins of the captured sites and provide valuable information. Hence, 3D point clouds have become essential for a growing number of geo-spatial applications such as urban planning, environmental monitoring, and disaster management.
In this talk, we present techniques to manage, process, and analyze 3D point clouds. We discuss the potential of AI and demonstrate how a machine-learning-based interpretation can be used to classify data, derive semantics and create insights. We show how the Oracle Cloud Infrastructure with GPUs and Database Spatial and Graph allows for handling and processing of massive amounts of data. The implemented approach opens up new ways for the full potential of large-scale, dense, and time-variant point clouds as required by a growing number of applications and systems.

Speakers
avatar for Rico Richter

Rico Richter

Dr., Hasso-Plattner-Institut / Uni Potsdam
Rico Richter has many years of experience in the development of complex processing, analysis and visualization techniques for 3D spatial data. He studied IT Systems Engineering at the Hasso Plattner Institute in Germany and has written his PhD thesis entitled “Concepts and Techniques... Read More →


Wednesday March 13, 2019 10:05am - 10:30am
2-Rm 103

10:05am

Self Optimization and Autonomy with IoT and AI/ML
Internet of Things (IoT) is capable of transforming our personal, public and business experiences. Despite its potential and substantial market attention with more than 450 IoT specific solutions, news on IoT hasn’t been great with research reports suggesting failure of 75% of IoT projects. In this session, we discuss state of the IoT market with specifics of IoT solutions that address devices, data, and automation. Furthermore, we showcase the missing elements of the IoT solutions and discuss self optimization and autonomy as essential features of IoT’s success. We discuss architectural and artificial intelligence and machine learning elements of these essential IoT solution features with a demo of Oracle IoT applications.

Speakers
avatar for Nickolas Kavantzas

Nickolas Kavantzas

Chief Architect, Oracle Inc.
Mr. Kavantzas is Chief Technologist, focusing in product vision, strategy, definition and architecture in the IoT and Big/Real-time Data Analytics (Apache Spark, Kafka, NoSQL, Oracle RDBMS, Cloud) space.In the past, Mr. Kavantzas worked in Oracle’s Security & Identity Management... Read More →
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 →


Wednesday March 13, 2019 10:05am - 10:55am
4-Rm 105

10:05am

(HOL) Test-drive the R and Python interfaces to Oracle Database for Data Science
In this hands-on lab, experience both the R and Python interfaces to Oracle Database. The first part of the session focuses on Oracle R Enterprise (ORE). The second part focuses on the new Oracle Machine Learning for Python (OML4Py). Both are components of the Oracle Advanced Analytics option to Oracle Database.

Speakers
avatar for Mark Hornick

Mark Hornick

Director, Oracle
Mark Hornick is a Director for Oracle Advanced Analytics Product Management, focusing on Oracle R Enterprise (ORE), Oracle R Advanced Analytics for Hadoop (ORAAH), and the new Oracle Machine Learning for Python (OML4Py). He works with internal and external customers in the application... Read More →


Wednesday March 13, 2019 10:05am - 12:00pm
5-Rm 202 HOL

10:30am

Collaborative Filtering Approach to Profile Insights of the Hotel Guests
The goal of the project is to provide the users of Oracle's OPERA Property Management System (PMS) for hotels with a set of recommendations for guests based on their booking profiles, stated preferences, travel purposes, and spending history. Traditional approaches to profile insight estimation rely on manual data collection in the form of surveys, questionnaires, and hotel staff intuition, which limits their applicability due to the lack of the scalability. We propose a data-driven approach using Machine Learning to generate actionable insights and trends, which are reliable and explainable by leveraging OPERA PMS data and determining trends in guest similarity to output predictions. In our presentation, we describe the approach which utilizes Semantic Analysis and a hybrid Collaborative Filtering technique catering to the specific requirements of the Hotels domain. We also discuss the outcome of our computational experiments using the booking history from one of our customers.

Speakers
avatar for Dhruv Agarwal

Dhruv Agarwal

Software Engineer, Oracle HGBU
"Any sufficiently advanced technology is indistinguishable from magic." - Arthur C. Clarke's 3rd Law.I am a passionate Software Engineer in constant pursuit of this magic. Strongly skilled at programming in JAVA, C/C++, JavaScript, PHP, and Python amongst others, I have a demonstrated... Read More →
avatar for Anirban Banerjee

Anirban Banerjee

Software Engineer, Oracle
Avid programmer and tech enthusiast who loves tackling challenging problems. Currently working as a software developer at Oracle. Always on the look out for new learning opportunities.
avatar for Akash  Chatterjee

Akash Chatterjee

Software Engineer, Oracle HGBU
I am part of Oracle Hospitality's AI and Data Science team.Opportunities to create an efficient amalgam of machine learning techniques and domain specific use cases excite me.Always up for conversations on technological disruptions, music, football or simply a random espionage novel... Read More →


Wednesday March 13, 2019 10:30am - 10:55am
1-Rm 102 350 Oracle Parkway, Redwood City, CA, United States
  • Field 2 general

11:10am

Predictive Analytics for Maintenance and Repair
Oracle develops a number of business applications for organizations that deliver asset maintenance and/or repair. These applications provide planning, scheduling, optimization and controls that can save large organizations many millions of dollars, extend the lifespan of assets and ensure assets work when they are needed. Many maintenance and repair business cases are particularly well suited to using artificial intelligence (AI) and machine learning (ML) tools: optimizing maintenance schedules requires predicting when asset classes and parts will fail; predicting individual asset failures with enough time to prevent downtime requires identifying patterns and anomalies in the IoT sensor data stream; providing the right first-time fix requires predicting the root cause of failure and how best to fix it based on symptoms and circumstances; and many more examples. This session will explore Oracle's various applications, business cases and AI and ML tools for maintenance and repair.

Speakers
avatar for Kannan Balakrishnan

Kannan Balakrishnan

Senior Director, Oracle USA Inc
Kannan Balakrishnan is Senior Director of product development at Oracle Corporation and leads engineering and architecture for eCommerce, Mobile Field Service and Adaptive Intelligence cloud applications for CRM and Supply Chain Management. Mr Kannan has been with Oracle since 1996... Read More →
avatar for Lee Sacco

Lee Sacco

Senior Director, Applications Development, Oracle
Lee Sacco is Senior Director of Applications Development in Oracle's Supply Chain Applications group, working with maintenance, repair and reverse logistics solutions for Fusion Cloud and E-Business Suite. He has been with Oracle for nearly two decades, having previously worked with... Read More →
avatar for Charlie Berger

Charlie Berger

Senior Director, Product Management, 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 13, 2019 11:10am - 12:00pm
1-Rm 102 350 Oracle Parkway, Redwood City, CA, United States

11:10am

Analyzing binary data in Hadoop
While most data analysis is textual, this presentation discusses the use of Java Map-Reduce to extract the metadata from sonar files collected by UUV (Unmanned Underwater Vehicle) missions. The sheer volume of files generated makes this a good candidate for Hadoop divide and conquer. The geolocation and timestamp information is extracted and loaded into a Hive Database, followed by a Sqoop job to transfer the data to an Oracle Database. Oracle APEX (Application Express) is then used to visualize the information on a Google map. The motivation for this effort comes from a prior project that extracted event information from Windows Event logs (using Java Map-Reduce). In addition the depth information is also used with basic AI classification algorithms in Hadoop/Spark for prediction.





Speakers
AA

Abhinav Arya

Student, UC Berkeley
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 →
PK

Pyojeong Kim

Student, Naval postgraduate school


Wednesday March 13, 2019 11:10am - 12:00pm
4-Rm 105

11:25am

Manufacturing Management with Digital Twin
Manufacturing management with process digital twin is poised to be ubiquitous in future. Emerging technologies such as artifical intelligene (AI) and Mixed Reality not just result in better KPI’s but also bridge the gap between the shop floor and top-floor. Decentralized manufacturing marketplaces would be a necessity to accommodate small manufacturing enterprises and individual additive manufacturers. Digital process twins play a crucial role in integrating these technological aspects and systematizing the flow of information and physical goods. IoT devices and smart contracts together can supplant the current ERP systems and eliminate the need of clerical data entry tasks and proof reading. For instance, OEM (Original Equipment Manufacturer) may track and record on a distributed ledger the breakdown and maintenance data of a type of machine sold to different customers. An AI agent can learn from one machine’s breakdown conditions and avoid it happening in other machines.

Speakers
avatar for Nabeel Mehdi

Nabeel Mehdi

Graduate Student, North Carolina State University
Nabeel is a digital architect with over 5 year’s work experience in manufacturing and supply chain operations across UAE, India and US. He is currently pursuing MS in Industrial & Systems engineering from North Carolina State University (NCSU) and is research assistant at the Data... Read More →
avatar for Atin Angrish

Atin Angrish

PhD Candidate, North Carolina State University
PhD scholar @ NC State University specializing in deep learning for information retrieval in manufacturing domain and blockchain applications for the supply chain tracking. I am currently funded on an NSF grant working towards development of multimodal search techniques involving... Read More →


Wednesday March 13, 2019 11:25am - 11:40am
3-Rm 104
  • Field 2 general

1:00pm

Applied Machine Learning for Autonomous Database Health
This session focuses on how Oracle is applying various Machine Learning technologies to the area of AI Opts to prevent performance issues and maintain availability. Details about the architectures and algorithms used for this Autonomous Health initiative will be covered for both cloud and on-premise database deployments. Specific operational use cases will be covered detailing the strategies and algorithms used to proactively detect performance degradation through the phases of detection, root-cause analysis and targeted corrective actions. The first section focuses on detection based upon data from the operating system and software layers and how normality can be determined and deviations detected in realtime with the goal of preserving session, database, and infrastructure availability. The second section focuses on detection using log and trace file data were the analysis is based on anomalous events or log record signatures. The final section will cover integration into DevOps processes.

Speakers
avatar for Mark Scardina

Mark Scardina

Director, Oracle
Mark Scardina has been with Oracle for 20+ years and is currently the Director of Product Management of Oracle's Applied Machine Learning Technologies group responsible for Oracle's Autonomous Health Framework and Autonomous Health in the Oracle Cloud. Components and technology include... Read More →


Wednesday March 13, 2019 1:00pm - 1:50pm
1-Rm 102 350 Oracle Parkway, Redwood City, CA, United States

1:00pm

IoT Customer Panel
In this moderated IoT Panel including customers, practitioners and PM, we will discuss various aspects of Internet of Things - Platform and Applications on Oracle Cloud, Customer Case Studies of IoT and emerging use cases. Topics include the use of Digital Twin and Interoperability, industrial manufacturing, connected car and transportation and Supply chain and Logistics.

This session will include Panelists from GE, Honeywell, L&T,  Intel, L&T and Oracle
Gary Crisci, Principal Architect at GE
Maria Schwenger, VP DevSecOps & Strategy at Honeywell Connected Enterprise
Karen Perry, Chief Industrial IoT Architect at Intel
Sameer Joshi, IoT Strategy at L&T
Jai Suri, IoT Product Management at Oracle


Moderator - Shyam V Nath, Oracle - Author of the Book: Architecting the Industrial Internet                               (https://www.packtpub.com/application-development/architecting-industrial-internet)

Speakers
avatar for Shyam Varan Nath

Shyam Varan Nath

Director IoT and Cloud, Oracle
Shyam V Nath is author of the book titled Architecting the Industrial Internet. He is Oracle Cloud Infrastructure (OCI) Certified Architect. He specializes in IoT, Blockchain and Big Data Analytics for industry domains like Industrial Manufacturing, Aviation and Healthcare. Shyam... Read More →
avatar for Karen Perry

Karen Perry

Chief IoT Architect, Intel
avatar for Maria Schwenger

Maria Schwenger

VP of DevSecOps & Strategy, Honeywell
Maria is an innovative DevSecOps Leader responsible to implement the vision of modern DevSecOps and support the transformation of Honeywell from industrial to a software-industrial company supporting areas like IOT, AI, and Big Data Analytics.Competences: IOT, AI, DevOps for IOT... Read More →
avatar for Gary Crisci

Gary Crisci

Principle Architect, General Electric
Gary Crisci is a Senior Financial Systems Leader and Oracle ACE Director with over 20 years of finance and IT experience, specializing in enterprise management software systems. During his career, Gary has held various positions as a consultant and industry professional working for... Read More →
avatar for Sameer Joshi

Sameer Joshi

IoT, Strategy and Management, Larsen &Toubro / LTI
Experienced leader in IOT strategy, product management, program management, global deployment, change management, building partner ecosystem, and go-to-market strategy. Would love to connect with you if you have any IOT related problem to solve.
avatar for Jai Suri

Jai Suri

Sr. Director, Product Management, Oracle
Jai is Senior Director of Product Management, responsible for product strategy and technical roadmap of the Internet of Things (IoT) cloud offerings from Oracle. Jai leads definition of vision and product strategy for IoT at Oracle leveraging cloud and predictive analytics solutions... Read More →


Wednesday March 13, 2019 1:00pm - 1:50pm
6-Rm 203

1:00pm

Using Graph Analysis for Fraud Detection in Fintech at Paysafe
Paysafe provides simple and secure payment solutions to businesses of all sizes around the world. We process billions of payment dollars a year. This, combined with the focus of flawless customer experience and real-time money transfer makes us a candidate for the “dark side” of the payments – fraudsters, money launderers, etc. Every year, the financial industry loses billions because of fraud. To provide the best customer experience, we keep the time window to identify fraud patterns or networks extremely narrowly. Fraudsters bury their patterns in large volumes of data. With traditional data storage techniques such as relational technologies, it is almost impossible to see beyond individual accounts to the connections between them. This presentation will show how Paysafe has implemented Oracle property graph technologies in Oracle Spatial and Graph and Oracle Database, including its fast, built-in, in-memory graph analytics to perform fast graph queries that identify patterns of fraud.

Speakers
avatar for Stanka Dalekova

Stanka Dalekova

Senior Software Developer, Paysafe
Stanka Dalekova has been working in Paysafe as a software developer in the last 15 years. She is happy to be a part of an organization from the start and see it grows. During this long journey, she has gained experience in different technologies and business aspects.
avatar for Yavor Ivanov

Yavor Ivanov

Head of Database Administration, Paysafe
Currently focused at the beauty of a team working together. The art of Engaging, Enabling and Empowering team members to deliver their best under the many possible situations we face in our daily life. Delivering outstanding result in complex environment; overcoming challenges and... Read More →


Wednesday March 13, 2019 1:00pm - 1:50pm
2-Rm 103

1:15pm

Analysis of Sensor Data Using Oracle Advanced Analytics
Filtering out noise and minimizing inaccuracies of sensor data - challenges in the data cleaning process - can be performed by anomaly detection using the Oracle OAAgraph package, which enables Oracle R Enterprise users to interact with Oracle Spatial and Graph's Parallel Graph Analytics (PGX) engine. In addition, selecting features from sensor data, which is vital in interpreting sensor data and extracting patterns, can be achieved by Oracle graph analytics. Both applications of Oracle Advanced Analytics will help researchers achieve their goals and lead to findings in more diverse domains.




Speakers
avatar for Beiyu Lin

Beiyu Lin

Graduate Research Assistant, Washington State University
Beiyu Lin is a Ph.D. candidate in Computer Science at Washington State University, focusing on data mining and machine learning. She constructs computational models based on smart home sensor data for the purpose of identifying routine behavior patterns and assessing behavior changes... Read More →


Wednesday March 13, 2019 1:15pm - 1:30pm
3-Rm 104

2:20pm

Optimize Asset Maintenance with Machine Learning
Maximizing asset uptime is the main goal of large scale asset managers. To achieve that, asset managers typically adopt a maintenance program that helps them to maintain acceptable levels of performance across their assets. Maintenance programs are a double-edged sword: the cost can increase tremendously if assets are maintained too frequently or too seldom. Frequently executed maintenance causes unnecessary maintenance downtime and seldom executed maintenance results in unexpected asset failures and undesirable business disruption. Optimizing the maintenance program is one of the key business decisions an asset manager makes. In this talk, we discuss maintenance programs in large scale asset management businesses and showcase how artificial intelligence and machine learning-based optimization using assets' IoT and maintenance data help to maximize asset uptime and minimize the overall asset operational cost.

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 →
avatar for Lee Sacco

Lee Sacco

Senior Director, Applications Development, Oracle
Lee Sacco is Senior Director of Applications Development in Oracle's Supply Chain Applications group, working with maintenance, repair and reverse logistics solutions for Fusion Cloud and E-Business Suite. He has been with Oracle for nearly two decades, having previously worked with... Read More →
avatar for Jai Suri

Jai Suri

Sr. Director, Product Management, Oracle
Jai is Senior Director of Product Management, responsible for product strategy and technical roadmap of the Internet of Things (IoT) cloud offerings from Oracle. Jai leads definition of vision and product strategy for IoT at Oracle leveraging cloud and predictive analytics solutions... Read More →


Wednesday March 13, 2019 2:20pm - 3:10pm
1-Rm 102 350 Oracle Parkway, Redwood City, CA, United States

2:20pm

Building Consistent Crime Investigation Practices Using Big Data and Graph Technologies
Rio de Janeiro's Public Prosecutor Office, MPRJ, works for and on behalf of the people to monitor and prosecute crime. They use data    as a key resource.  MPRJ, built a several map approaches to support the fight against crime and corruption. The initiative called  'Public Prosecutor Office in Maps' includes several data-driven apps including a crime map, social index, etc.  Graph technologies are well-suited to modeling and analysis of datasets for crime analysis. The MPRJ team uses a variety and volume of raw data. Specifically, to build the entities relationships and graphs they use Oracle Big    Data Spatial and Graph, running on Oracle BDA infrastructure. Today they have half a billion nodes growing to 1 billion, adding new data    sources and metadata. In addition, they are using the Oracle's    solutions to fight corruption from an investigation perspective, using the same tool from the 'Car Wash' Federal case.



Speakers
avatar for Daniel Belchior

Daniel Belchior

Tech Lead Big Data, Public Prosecutor's Office - BR
Accomplished and skilled IT professional with a driving passion for providing solutions and problem solving.• Substantial experience in Cloudera ecosystem, such as HDFS, Hue, Hive, Impala, Solr, HBase, Sqoop, Flume, Kafka• GIS In-depth knowledge, including Geoserver, Postgis and... Read More →
avatar for Felipe Ferreira

Felipe Ferreira

Data Science Team Leader, Ministério Público do Rio de Janeiro
Data passionate, Python lover, working to provide and improve data-driven decisions.Senior Team Leader in the Data Science department of Public Prosecutor's Office, working on relationship analysis and intelligence reports using graph database and Cloudera/Hadoop suit. More than 15... Read More →
avatar for Rhenan Bartels

Rhenan Bartels

MPRJ
Currently, I am teaching machines to analyze Judicial documents at my job and working with Image            Processing in my Ph.D.


Wednesday March 13, 2019 2:20pm - 3:10pm
2-Rm 103

3:25pm

How Data Miner and Analytics Cloud can help FinTech Marketing team perform?
Forth Smart is a FinTech business based in Thailand, where we have more than 120,000 vending machines throughout the country. Our customers can top-up their mobile credits by cash, as well as transfer money and purchase game credits. Since the users only need mobile numbers for using our devices, we don't have much information about the users such as their names or ages. Therefore, our challenge is to understand our customers by extracting meaningful information from user activity information rather than their static profile data. For analyzing such data, we have used Oracle Data Miner GUI for building machine learning models. The work also involves generating engineered attributes to improve the model accuracy. I will talk about my journey to introduce Oracle Advanced Analytics platforms and also about our recent trials to introduce new technologies, such as notebook for running the workflows on ADWC and graph algorithms for deeper customer analysis.

Speakers
avatar for PAWARIT RUENGSUKSILP

PAWARIT RUENGSUKSILP

Business Development Analyst, Forth Corporation PCL
• Business Development Analyst/ Citizen Data Scientist • Industries: Technology and Air Separation • Past Projects - Building a control room to minimize the downtime of 120,000 online vending machines - Helping the Marketing Department to quantify the impact and performance... Read More →


Wednesday March 13, 2019 3:25pm - 4:15pm
1-Rm 102 350 Oracle Parkway, Redwood City, CA, United States

3:25pm

Extreme Data Visualization to Drive User Adoption
Accelerate business insights through data discovery, analytics and comprehensive Visualization delivered through Oracle BI. This session focuses on LAUSD deployment of an advanced, custom UI/UX framework on Oracle BI stack to deliver extreme Visualization and a live demonstration on how we adopted a simplified reporting platform for line-of-business users on key metrics, dazzling visualization and infographics delivered through BI dashboards to help improve the decision-making process across the organization.



Speakers
avatar for Grace Peng

Grace Peng

Technical Specialist, LAUSD
I am IT executive with specialized skills in enterprise information management and analytics for LAUSD. As dynamic information technology leader and certified Project Management Professional with success in program/project management, problem solving, strategic planning, and operations... Read More →
GS

Gautham Sampath

Executive Director, Innive Inc


Wednesday March 13, 2019 3:25pm - 4:15pm
4-Rm 105

4:30pm

Reviving 3D visualization through simplicity, and how ML can help
3D data visualization can earn its place in informing audiences. We showcase a touchscreen 3D data visualization tool piloted for field marketing at Oracle OpenWorld 2018, one of the largest tech conferences in the world. Discussion includes UX/UI design, as well as how latent variables obtained via simple machine learning can foster interpretability.


Speakers
avatar for Alex Firsov

Alex Firsov

Data Scientist, Oracle
I do marketing data spec ops. Predictive analytics, interpretable machine learning, marketing campaign design, and data driven creative.


Wednesday March 13, 2019 4:30pm - 5:00pm
1-Rm 102 350 Oracle Parkway, Redwood City, CA, United States

4:30pm

Translating Natural Language to Graph Queries for Financial Crime Investigation
Financial crime investigation is a labor-intensive task. Oracle provides tools (e.g., FCCM Studio) that allow investigators to analyze whether a case involves fraud. To do so, investigators query and analyze databases containing financial transactions through an easy-to-use interface. However, often this interface does not provide enough flexibility. In such cases, analysis may require the development of database queries in SQL or PGQL (for Graph databases). Having to do so is not desirable because (1) it requires business users to learn a (complex) query language and (2) business users need to know about the underlying database schema. To remedy this situation, we have developed a natural language interface to graph databases that provides business users with a natural way to query the databases. In this talk, we present NL2PGQL, which translates sentences in natural language into a PGQL query that can be executed using Oracle Spatial and Graph.




Speakers
avatar for Matthias Brantner

Matthias Brantner

Research Director, Oracle
Matthias is a Research Director at Oracle Labs. His research interests are at the cross road of data processing and language compilers. He holds a PhD from the University of Mannheim, Germany.
avatar for Jinha Kim

Jinha Kim

Principal Member of Technical Staff, Oracle Labs
Jinha Kim is a Principal Member of Technical Staff at Oracle Labs. He is interested in graph analytics and machine learning from designing through implementation to application. He obtained his PhD from Pohang University of Science and Technology, South Korea.


Wednesday March 13, 2019 4:30pm - 5:00pm
2-Rm 103
 
Thursday, March 14
 

8:45am

Developing Predictive Applications with Oracle's Machine Learning
Most machine learning projects fail to go beyond the data scientist. They hit a wall when they try to “operationalize” the ML models into enterprise production IT environments. Open source Python and R are great for data scientists but create problems with the DBA. This dichotomy between IT and data science is eliminated when the ML algorithms are part of the enterprise data management platform. By “moving algorithms to the data”, Oracle has extended the Oracle Database, Autonomous Database and Big Data platforms into hybrid data management and machine learning platforms. Data scientists and application developers can use their language or UI of choice (R, Python, SQL, “drag and drop” UIs and notebooks) to cooperatively build, develop and deploy ML models on premise or in the cloud. Learn how data scientists move beyond “ML tools” and now collaborate with IT, DBAs and application developers to deliver ML enabled applications. Several “Predictive Applications” will be shown.

Speakers
avatar for Charlie Berger

Charlie Berger

Senior Director, Product Management, 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 →


Thursday March 14, 2019 8:45am - 9:35am
1-Rm 102 350 Oracle Parkway, Redwood City, CA, United States

8:45am

Is it Corked? Wine Machine Learning Predictions with OAC
What do you know about Machine Learning and Artificial Intelligence? How deep do you need to study before you can actually start implementing it? Oracle Analytics Cloud (OAC) democratizes the concept of Data Science: data cleansing, enrichment, model training and evaluation are now tasks that can be performed visually in the tool lowering the barrier of Machine Learning. In this presentation, we demonstrate a live Machine Learning example with OAC. Starting from a Wine Rating Dataset, we will understand the features, enrich them, build a predictive model to score the wine rating and validate it against unseen data, all with a simple GUI and without having to write a single line of code! Are you ready to see Machine Learning in action? And understand all the steps involved in building and validating a model? Then check out this session!

Speakers
avatar for Francesco Tisiot

Francesco Tisiot

BI Tech Lead, Rittman Mead
Francesco is the BI Tech Lead at Rittman Mead and an Analytics enthusiast. Analyst, architect and developer, he built expertise in the Data Integration and Business Analytics over the years. He also delivers Oracle trainings for Rittman Mead. Francesco is involved in the Oracle Analytics... Read More →


Thursday March 14, 2019 8:45am - 9:35am
6-Rm 203

8:45am

(HOL) Try it live : Immediate Deep Insights on Any Data with Oracle DV
This hands-on session will walk any user (novice to expert) through the multiple capabilities of Oracle Analytics Cloud (OAC) to rapidly gain deep insight on any data. You will rapidly ramp up with basics of Oracle Data Visualization (DV) and learn many of the friendly OAC features to gain crucial insights on any dataset. There are no specific requirements for the lab, only a laptop with internet connection.

Speakers
avatar for Philippe Lions

Philippe Lions

Sr. Director, Product Management/Strategy, 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 14, 2019 8:45am - 10:40am
5-Rm 202 HOL

9:50am

Semantic Middleware - the Cornerstone of Your Next IT
Knowledge Graphs (KG) have recently been acknowledged as a critical innovation by leading industry analysts to providing an efficient IT stack and bringing AI to the next level. An RDF-based KG is an efficient means of harmonizing heterogeneous data environments, providing a multi-dimensional index and unified data gateway. Vertices modeled in RDF are referenceable to human and machine agents by standardized URIs. As entities may be explored with high precision within their context, they become first-class information citizens where today's access is mainly document based. While Knowledge Graphs have been adopted by the fastest-growing companies of the last decade, some still find it a challenge. PoolParty Semantic Suite provides an easy start and helps to smoothen the adoption of KGs. Connecting to Oracle Database 18c and Oracle Spatial and Graph, PoolParty facilitates a supervised self-learning system that helps to build an Enterprise Knowledge Graph efficiently and automate the process greatly.

Speakers
avatar for Sebastian Gabler

Sebastian Gabler

Head of Sales, Semantic Web Company
Originally trained as Recording Producer with a diploma degree from Berlin University of the Arts (UdK), Sebastian pursues a career in archive- and information management for over 15 years, after spending 5 years in music production for Radio, TV and Recording industry. Sebastian... Read More →


Thursday March 14, 2019 9:50am - 10:15am
2-Rm 103

9:50am

Cross-Validation & Model Selection in ML Classification: ORAAH and OAA examples
Cross-Validation is a great method to better estimate the expected quality of a model on future Scoring Datasets, and also to compare performance between models. From a Confusion Matrix generated for each model run, several useful statistics can be extracted, including Precision, Accuracy, Recall, True Positive Rate, F1 Score, Informedness, and others. In this session we will see an example of using k-Fold Cross-Validation to choose the best Model for several Examples, using the latest Oracle R Advanced Analytics for Hadoop (ORAAH) and Oracle Advanced Analytics (OAA). The sample R and SQL code will be explained, but familiarity with R or SQL is not crucial.

Speakers
avatar for Marcos Arancibia

Marcos Arancibia

Product Manager, 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 14, 2019 9:50am - 10:40am
1-Rm 102 350 Oracle Parkway, Redwood City, CA, United States

10:55am

Machine Learning & AI Applications for Smart Manufacturing
Learn about the recently announced Oracle Adaptive Intelligent (AI) Applications for Manufacturing. This SaaS offering collects, stores, and analyzes massive amounts of Operational Technology (OT) data coming from sensor enabled shop floor equipment and machines and contextualizes it with Information Technology (IT) data coming from enterprise applications such as ERP, HCM, SCM, MES, Quality, LIMS and analyzes it by applying machine learning, and artificial intelligence techniques to discover key patterns and correlations that affect manufacturing efficiencies and provides actionable predictive analytics to maximize yield and minimize defects, scrap, rework, costs, returns. It also provides comprehensive capabilities for backward and forward tracing of products and processes within manufacturing and supply chain spanning manpower, machine, material, method and management related information to facilitate rapid root cause, impact and containment analysis.

Speakers
avatar for Gopal Ratnam

Gopal Ratnam

Senior Director, Product Management & Strategy, Oracle
TBD


Thursday March 14, 2019 10:55am - 11:45am
1-Rm 102 350 Oracle Parkway, Redwood City, CA, United States

10:55am

Self-diagnosis and Management of Performance and Availability for Autonomous Database
Autonomous databases signal considerable advancement from manual processes previously required by legacy databases that have been prevalent in previous decades. Removal of the human operator and as such, associated human error, from the control loop is the basic premise of autonomous databases. Self-driving and virtually infallible software agents may now take control of management and administrative tasks relating to database function that were once completed manually. Modern databases can generate vast numbers of diverse streams of sensory data with important implications for database behavior and performance. Such sensory data range from expanded performance metrics to internal and external resource utilization to workload statistics and detailed process logs. Given that traditional hands-on inspection procedures are unable to match the expansive volume of this data, there now exists a unique opportunity to leverage this data and the application of machine learning techniques






Speakers
avatar for Yaser Suleiman

Yaser Suleiman

CMTS, Oracle
Yaser Suleiman, CMTS at Oracle HQ, Database RAC organization, developer in CHA team (part of the Autonomous Health).


Thursday March 14, 2019 10:55am - 11:45am
3-Rm 104

10:55am

When Graphs Meet Machine Learning
This session shows how graphs and machine learning (ML) together can enable new insights that could not be attained previously. Graph models and machine learning techniques are becoming popular for discovering relationships, classifying information, identifying patterns and anomalies in data, and improving understanding of information. By combining ML techniques with relationships in graphs, we can answer questions such as “How did other investigators approach similar cases?” “Does this malware have the same characteristics as prior attacks?” and “Do these symptoms seem similar to ones we’ve seen in other diseases?” We explain modern techniques for combining graphs and machine learning, so that signals in your irregular and unstructured data sets are properly captured by graph analysis, before feeding them into the machine learning pipeline.





Speakers
avatar for Rhicheek Patra

Rhicheek Patra

Oracle
I am interested in topics concerning distributed machine learning, recommender systems, online privacy,     and big data related problems. My research work has led to publications in many premier conferences in       the above-mentioned fields.
avatar for Sungpack Hong

Sungpack Hong

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


Thursday March 14, 2019 10:55am - 11:45am
2-Rm 103

12:00pm

Identifying Portfolio Variables using Machine Learning for developing Mortgage Prepayments predictor models in Banking and Finance
Portfolio Variables are variables which identify the fingerprint of a dataset. It is most advisable to separate a dataset into multiple dataset based on values of portfolio variables and build separate models since the relationship between the dependent variable and independent variables differs across the spectrum of portfolio variables.

Portfolio variables are generally identified by Subject Matter Experts in the Industry. However with changing datasets and large number of categorical and numeric variables, Machine Learning can go a long way in adding to such portfolio variables to achieve higher prediction accuracy.

We in OFSAA team have built an algorithm to identify and segregate such variables using ML techniques which will be a part of presentation.

Speakers
avatar for Jayesh Gokhale

Jayesh Gokhale

Snr Principal Software Developer, Oracle Financial Services Software Limited
Senior Principal Software Developer Development Lead - OFSAA Performance Analytics Suite     Worked on developing models for IPA/RPA, RCA and LLFP products. ML Techniques used in the models include Regression, Clustering, Time Series Forecasting, Neural Networks, Survival Models and Vintage M... Read More →


Thursday March 14, 2019 12:00pm - 12:30pm
6-Rm 203

12:00pm

Finding Malicious Network Packets Using Anomaly Detection with Graph Analytics
Finding unexpected patterns and results in data is a critical factor in discovering fraud, adverse reactions, and other suspicious behaviors. Graph analysis is an effective data analysis methodology that considers fine-grained relationships among data entities. This session explains how to use graph analysis algorithms to discover anomalous results to identify malicious network packets in network traces. We achieve this by constructing graphs from network traces and computing characteristics of those graphs by applying several graph algorithms with which we can construct a machine learning model for classification.


Speakers
avatar for Sungpack Hong

Sungpack Hong

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

Rhicheek Patra

Oracle
I am interested in topics concerning distributed machine learning, recommender systems, online privacy,     and big data related problems. My research work has led to publications in many premier conferences in       the above-mentioned fields.
avatar for Kevin Madden

Kevin Madden

Chief Software Engineer, Tom Sawyer Software
With more than 20 years of experience in the software industry, Kevin Madden brings an innovative approach to Tom Sawyer Software. Originally the third software engineer at Tom Sawyer Software, today he plays a strategic role in the direction of the company's server-based products... Read More →


Thursday March 14, 2019 12:00pm - 12:30pm
2-Rm 103
  • Field 2 general

1:30pm

Four awarded Brazilian use cases using Oracle Big Data, ML and Analytics
In this session Marcelo Bellorio, enterprise solutions architect for AI, Big Data and Analytics in Oracle Brazil, will drill down on the Architectures, Business Outcomes and what`s next for the four Oracle Open World 2018-awarded Brazilian companies use cases:
1 - United Health Group Brazil (Healthcare): Oracle Global Leaders 2018 Architect Leader of the Year Excellence Award for Latin America for the Healthcare and Legal cases on top of Oracle's Big Data architecture
2 - Nexel Brazil (Telco): OOW 2018 Oracle Excellence Award for Data Management Innovation AND Oracle Global Leaders 2018 DW & Big Data Leader of the Year Excellence Award for the Telco Machine Learning use cases on top of the Oracle's Big Data, ADW and Analytics Platforms
3 - Oi (Telco): OOW 2018 Oracle Excellence Award for Analytics Innovation for the Analytical Spatial's ML case on top of Oracle's DW and Analytics Platform
4 - GEQ (Gas & Consumer Goods): OOW 2018 excellence Award Finalist for the ML Tax Intelligence case

Speakers
avatar for Marcelo Bellorio

Marcelo Bellorio

Enterprise Solutions Architect, Oracle
I am a passionate individual about working within diverse and multicultural teams, strong believer in the value of people, data and technology within the organizations for business development and transformation. With experience in both the computer science and business fields, I... Read More →


Thursday March 14, 2019 1:30pm - 2:20pm
5-Rm 202 HOL

1:30pm

Oracle Cloud Infrastructure provides a Modern Infrastructure for Analytics
Do you want more agility for your AI and ML workloads? Oracle Cloud Infrastructure is built from the ground up for enterprise and next generation workloads. In this session, learn about infrastructure fundamentals and understand how to effectively deploy in cloud for improved agility. Hear about the latest services and offerings that enable analytics and help speed decision making. Get a demo on our GPU offerings and how that can be applied to analytics, learn about how storage can enable analytics and how the right network infrastructure can speed workload execution. Hear about what is coming next.


Speakers
avatar for Ed Beauvais

Ed Beauvais

Director Product Management, Oracle, Oracle Cloud Infrastructure
Ed Beauvais is Director of Product Management for Oracle Cloud Infrastructure. Ed's roles have spanned Product Management, Technology Strategy and Product Marketing. Ed is a strategic innovator with progressive experience in successfully directing new product initiatives, 1.0 product... Read More →


Thursday March 14, 2019 1:30pm - 2:20pm
1-Rm 102 350 Oracle Parkway, Redwood City, CA, United States

2:30pm

Empowering Data Driven Decisions for Sales Order & Revenue Leveraging DVCS
OneGlobe designed a solution leveraging Data Visualization Cloud Service made data transformations simpler, resulting in reduced manual effort and error-free data for one of the leading global suppliers of Industrial Automation and process control, measurement and data management solutions and service provider. Enabled APAC business leadership team to visualize Sales and Revenue Performance by their teams at a broader geographical level and at a granular Product Line and Customer Segment level with their respective data security restriction.


Speakers
avatar for Goushalya Kothai Nachiar Ayyappan

Goushalya Kothai Nachiar Ayyappan

Practice Director - Advanced Analytics, OneGlobe
Goushalya is a Business Analytics practitioner, Data Science evangelist, and a Certified Blockchain expert with over 12 years of experience who excels in looking under the hood of business with the Analytics & Data science lens. She enjoys the journey that at most times starts with... Read More →
avatar for Prakash Malmarugan

Prakash Malmarugan

Senior Solution Architect, OneGlobe Systems
Prakash Malmarugan is a Senior Solution Architect, Data Analyst, a Certified Blockchain Expert and a certified Oracle Enterprise Planning and Budgeting Cloud Service. He is passionate about leveraging analytics to solve business problems and deliver tangible value. He believes in... Read More →


Thursday March 14, 2019 2:30pm - 2:55pm
6-Rm 203

2:30pm

Modern Machine Learning with OAC and ADWC
Oracle has placed a major emphasis on Machine Learning, AI, and predictive analytics. AI is built in to OAC and most other Oracle cloud products, but do you know how to leverage it? We’ll contrast building machine learning models in data flows in OAC with Oracle Autonomous Data Warehouse Cloud service. You’ll learn the capabilities and advantages of the different places you can put machine learning models into production. We’ll also cover the business use cases for major machine learning algorithms such as market segmentation, next best product recommendations, and production forecasting._x000D_

Speakers
avatar for Tim Vlamis

Tim Vlamis

VP & Analytics Strategist, Vlamis Software Solutions
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 →
avatar for Dan Vlamis

Dan Vlamis

President, Vlamis Software Solutions, Inc.


Thursday March 14, 2019 2:30pm - 3:20pm
5-Rm 202 HOL

2:55pm

Deciphering insights from ATM using OAC
OneGlobe designed and delivered the solution to effectively identify, visualize, and analyze data to understand their customer behaviour and branch performance. The data insights deciphered, have empowered the bank with extremely critical information to their business functions using Oracle Analytics Cloud (OAC). The following solutions have been designed:
1. ATM Performance and Monitoring
2. Network Monitoring
3. Branch Performance Financial KPIs




Speakers
avatar for Goushalya Kothai Nachiar Ayyappan

Goushalya Kothai Nachiar Ayyappan

Practice Director - Advanced Analytics, OneGlobe
Goushalya is a Business Analytics practitioner, Data Science evangelist, and a Certified Blockchain expert with over 12 years of experience who excels in looking under the hood of business with the Analytics & Data science lens. She enjoys the journey that at most times starts with... Read More →
avatar for Prakash Malmarugan

Prakash Malmarugan

Senior Solution Architect, OneGlobe Systems
Prakash Malmarugan is a Senior Solution Architect, Data Analyst, a Certified Blockchain Expert and a certified Oracle Enterprise Planning and Budgeting Cloud Service. He is passionate about leveraging analytics to solve business problems and deliver tangible value. He believes in... Read More →


Thursday March 14, 2019 2:55pm - 3:20pm
6-Rm 203

3:40pm

I know what you mean: leveraging graph for linking entities into knowledge base
Entity linking is a cognitive task consisting in connecting entities (i.e., people, places, ...) mentioned in a passage of text to the relevant description in a knowledge base, such as DBpedia. Example applications of entity linking are automatic generation of hyperlinks to augment news articles and trending topics analysis in social media. The task is challenging because it often depends on contextual information, in particular to distinguish synonyms and ambiguous terms. In this session, we show how the quality of answer of an entity-linking service can be improved by applying graph analysis. We also introduce Oracle’s graph technology for quick and efficient development.

Speakers
avatar for Sungpack Hong

Sungpack Hong

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


Thursday March 14, 2019 3:40pm - 4:05pm
5-Rm 202 HOL

3:40pm

Changing Role of DBA: From Database Developer to Data Scientist in 6 Weeks
Oracle Autonomous Databases automate everything, right? So what’s a DBA to do now? DBAs spend the majority of their time on maintenance, security and outage issues leaving little time for innovation. Autonomous Databases are self-driving, self-securing and self-repairing. Autonomous Databases free database developers to leverage valuable data skills to extract more insights and make predictions. Oracle Machine Learning Zeppelin notebooks supports the six basic machine learning steps: business understanding, data understanding, data preparation, model building, model evaluation and model deployment. Database developers perform these tasks now, actually 80% of the work, but refer to them as ETL, data wrangling and production scripts. Come learn how Oracle Machine Learning enables you to transition from database developer to “data scientist” in 6 weeks.


Speakers
avatar for Penny Avril

Penny Avril

Vice President, Oracle
Penny Avril is a Vice President in Oracle Server Technology Division, leading product management for Oracle Database. Penny works with release and development management on taking the product from design spec through development to production. Her team runs the customer advisory board... Read More →
avatar for Charlie Berger

Charlie Berger

Senior Director, Product Management, 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 →


Thursday March 14, 2019 3:40pm - 4:30pm
1-Rm 102 350 Oracle Parkway, Redwood City, CA, United States