Data Science at Oracle OpenWorld

Register now to attend sessions on data science, machine learning, deep learning, and artificial intelligence at Oracle's premiere business and technology event.

 

Register now  

October 22 - 25, 2018 | Moscone Center | San Francisco

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About Oracle OpenWorld 

At Oracle OpenWorld you will be surrounded by the new, the cutting-edge, and the sometime unfamiliar. From today’s most-trusted products to tomorrow’s technologies, you will leave infused with inspiration, new ideas and relationships. Whether you attend for a day or four, you’ll engage in free-flowing ideas that will help you and your business achieve tomorrow’s business goals, today!

With a portfolio of keynotes, product demos, collective learning sessions, and so much more, you won’t want to miss out on today’s premiere business and technology event. Below, you will find a selection of sessions related to data science, machine learning, deep learning, and artificial intelligence. 

Birds of a Feather (BOF) Sessions
An Interactive Journey Through Data Science [BOF5402]
Monday, Oct 22, 8:30 p.m. - 9:15 p.m. | Moscone West - Room 2001

This session takes the audience through the rising field of data science. In their careers, the speakers have come across many different companies looking for ways of leveraging analytics, big data pipelines, and data science techniques to keep up with the huge demand and to stay ahead of the competition. The presentation shows data science approaches and demos created in Python and R in an interactive fashion to tackle business cases and shine light onto the world of data science. The subjects used in these business cases are linked to advanced techniques in AI, machine learning, and cognitive solutions.

Hosted by:

  • Abraham Theodoor Miedema, Data engineer & Data scientist, Atos
  • Vera Velt, Data Scientist, Atos
HOL (Hands-on Lab) Sessions
ML 101: Oracle Data Miner/Oracle Autonomous Data Warehouse Cloud Machine Learning Notebook - BYOL [HOL5759]
Monday, Oct 22, 2:45 p.m. - 4:45 p.m. | Moscone West - Overlook 2A (HOL)

PLEASE NOTE: YOU MUST BRING YOUR OWN LAPTOP (BYOL) TO PARTICIPATE IN THE HANDS-ON LABS.

In this hands-on lab, learn the fast and easy way to do machine learning with Oracle SQL Developer 17.4’s Oracle Data Miner drag-and-drop workflow UI. Learn from several experts who will provide one-on-one coaching, guidance, and instruction as requested in various hands-on tutorials. Ask questions, get answers, and come away with a comfort level for using Oracle’s machine learning capabilities in your use cases. Also try the new Oracle Machine Learning Zeppelin-based notebook for Oracle Autonomous Data Warehouse Cloud. Oracle Machine Learning extends Oracle’s offerings for data science in the cloud, and its collaborative notebook environment helps data scientists build, share, document, and automate data analysis methodologies that run in Oracle Autonomous Data Warehouse Cloud.

Hosted by:

  • Brendan Tierney, Oralytics
  • Charlie Berger, Sr. Director Product Management, Machine Learning, AI and Cognitive Analytics, Oracle
  • Derrick Cameron, Oracle
HOL (Hands-on Lab) Sessions
Audio Recognition on Oracle Data Science Cloud [HOL6313]
Tuesday, Oct 23, 12:45 p.m. - 1:45 p.m. | Marriott Marquis (Yerba Buena Level) - Salon 5/6
Wednesday, Oct 24, 8:00 a.m. - 9:00 a.m. | Marriott Marquis (Yerba Buena Level) - Salon 5/6

In this hands-on lab learn how to train an audio recognition model using Oracle Data Science Cloud. See how to access interactive tools, connect to data sources, and train a deep learning model to recognize different spoken words. Then deploy this model as an API so that it can be easily shared and integrated into different workflows and services.

Hosted by:

  • Praveen Deshpande, Director, Product Management, Oracle
  • JR Gauthier, Lead Data Scientist, Oracle
Keynote Sessions
Oracle Cloud Platform Strategy and Roadmap [PKN5769]
Monday, Oct 22, 9:00 a.m. - 9:45 a.m. | Yerba Buena Center for the Arts (YBCA) Theater

In this session learn about the strategy and vision for Oracle’s comprehensive and autonomous PaaS solutions. See demonstrations of some of the new and autonomous capabilities built into Oracle Cloud Platform including a trust fabric and data science platform. Hear how Oracle’s application development, integration, systems management, and security solutions leverage artificial intelligence to drive cost savings and operational efficiency for hybrid and multicloud ecosystems.

Hosted by:

  • Amit Zavery, Executive Vice President, Fusion Middleware and PaaS Development, Oracle
Keynote Sessions
Innovating with the Oracle Platform for Data Science and Big Data [PKN3898]
Tuesday, Oct 23, 5:45 p.m. - 6:30 p.m. | Yerba Buena Center for the Arts (YBCA) Theater

Data science is the key to exploiting all your data. In this general session learn Oracle’s strategy for data science: building, training, and deploying models to uncover the hidden value in your data. Topics covered include ingestion, management, and access to big data, the raw material for data science, and integration with PaaS services.

Hosted by:

  • Diwakar Goel, CIO - ERPs and CoEs, GE
  • Greg Pavlik, Senior Vice President and CTO, PaaS, Oracle
Keynote Sessions
The Next Big Things for Oracle Cloud Platform [PKN5770]
Wednesday, Oct 24, 11:15 a.m. - 12:00 p.m. | The Exchange @ Moscone South - The Arena

Attend this session to learn about cutting-edge solutions that Oracle is developing. With pervasive machine learning embedded into all Oracle PaaS offerings, the most exciting capabilities Oracle is developing include speech-based analytics, trust fabric, automated application development (leveraging AR and VR), and digital assistants. Find out how Oracle is innovating to bring you transformational PaaS solutions that will enhance productivity, lower costs, and accelerate innovation across your enterprise.

Hosted by: 

  • Lionel Louie, CCO, Cargosmart Ltd
  • Amit Zavery, Executive Vice President, Fusion Middleware and PaaS Development, Oracle
Business Use Case Sessions
Using Deep Learning and Neural Networks in Oracle Database 18c [BUS1891]
Monday, Oct 22, 9:00 a.m. - 9:45 a.m. | Moscone West - Room 3001

Oracle Database 18c comes with many new and exciting machine learning algorithms. This session explores these new features and presents live demonstrations of how to use them to gain deeper insights into your customer data. In addition to the in-database deep learning feature, this session also examines how additional deep learning can be embedded into the database using the R extensibility framework. Using RESTful services learn how you can now bring deep machine learning to developers, enabling them to build advanced applications utilizing the power of Oracle Database in the cloud.

Hosted by:

  • Brendan Tierney, Oralytics
  • Neil Chandler, Database Architect, Chandler Systems
Business Use Case Sessions
Big Data, Personally Identifiable Information, GDPR, Machine Learning, and the Cloud [BUS4264]
Monday, Oct 22, 11:30 a.m. - 12:15 p.m. | Moscone West - Room 3010

Delivering innovative business transformation while living in a world of increased regulatory compliance of personally identifiable information, and the General Data Protection Regulation (GDPR)—Oh My! This session draws back the curtain on the technology that enables the business use cases for big data: innovation, customer insight, operational efficiency, fraud, risk, and compliance. It examines real-world examples of each use case and the technical architecture that supports them.

Hosted by:

  • Marcos Arancibia Coddou, Product Manager, Oracle Data Science and Big Data, Oracle
  • Neil Mendelson, Oracle
Business Use Case Sessions
How to Compete in the AI Arms Race [BUS4629]
Monday, Oct 22, 12:30 p.m. - 1:15 p.m. | Moscone West - Room 3022

This session focuses on how business leaders can help their organizations better compete with artificial intelligence. While AI capabilities have become a “must have” for enterprises, many struggle with realizing value from their investments. These challenges go beyond hiring the right talent, they involve developing the tools, technology, and techniques needed to become an algorithm-driven company. In this session learn how your organization can identify gaps in its capabilities and develop strategies to deliver more value with artificial intelligence. Walk through how Oracle’s data science solutions can serve as a cornerstone for the development, deployment, and management of AI solutions.

Hosted By:

  • Ian Swanson, Oracle
Business Use Case Sessions
Use Data Science to Fight Fraud, Strengthen Security with ERP Advanced Controls [BUS4254]
Monday, Oct 22, 4:45 p.m. - 5:30 p.m. | Moscone South - Room 156

This session introduces business analysts to key data science concepts needed for audit and security analysis. Learn how to create audit algorithms with easy-to-use graphical tools that embed data science techniques such as anomaly detection, clustering, fuzzy matching, and so on to stop fraud and strengthen security.

Hosted by:

  • Siddharth Sinha, VP, Oracle Risk Cloud Product Strategy, Oracle
  • Didier Chabrerie, Directeur Contrôle Interne Comptable, Orange
  • Reza B'Far, Oracle
Business Use Case Sessions
Deep Learning 101 for Non–Data Scientists [BUS4257]
Wednesday, Oct 24, 12:30 p.m. - 1:15 p.m. | Moscone West - Room 3010

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.

Hosted by:

  • Peter Jeffcock, Big Data and Data Science, Cloud Business Group, Oracle
Developer Sessions
Getting Started with R and ROracle for Data Science with Oracle Database [DEV5049]
Monday, Oct 22, 11:30 a.m. - 12:15 p.m. | Moscone West - Room 2016

New to R and data science? In this session, see how to configure and efficiently use the “ROracle” driver for Oracle Database. Integration with data plotting modules makes it possible to create stunning visual representations of data.

Hosted by:

  • Rajendra Pingte, Director Software Develpment, Oracle
  • Christopher Jones, Senior Principal Product Manager, Oracle
  • Shubhangi Kumar, Senior Member of Technical Staff, Oracle
Developer Sessions
Developing Predictive Applications with Oracle’s Machine Learning [DEV5758]
Monday, Oct 22, 12:30 p.m. - 1:15 p.m. | Moscone West - Room 2003

Most data science projects don’t get beyond the data scientist and rarely “operationalize” their predictive models. By “moving algorithms to the data,” Oracle now embeds prebuilt analytical machine learning methodologies into applications. This presentation shows how it is done on premises or in the cloud and provides an inventory of current predictive applications, including HCM cloud, sales cloud, retail GBU and FinServ GBU applications, industry data models, and adaptive intelligence applications for manufacturing. Finally, it presents a preview of some new predictive applications in the pipeline. Come away with an understanding of how you too can build machine learning in to your applications.

Hosted by:

  • Charlie Berger, Sr. Director Product Management, Machine Learning, AI and Cognitive Analytics, Oracle
Developer Sessions
Machine Learning for Software Developers in 45 Minutes [DEV5090]
Monday, Oct 22, 1:30 p.m. - 2:15 p.m. | Moscone West - Room 2016

Technologists know that machine learning (ML) is a humongous, long-term trend for all applications. Many companies are now applying an “AI first” philosophy in all their applications and services. This session is designed for Java developers who are new to ML and need an overview of ML and where/how to apply it. You’ll learn about its relationship to AI and why ML is evolving at such a rapid pace. The session also describes the types of learning styles—supervised learning, unsupervised learning, and reinforcement learning—and also discusses “deep learning.” It covers use cases and the various ML services offerings from Oracle Cloud, AWS, Azure, and GCP. Most importantly, the focus is on how Java developers can take advantage of ML in their applications.

Hosted by:

  • Zoran Sevarac, Associate Professor, University of Belgrade, Faculty of Organisational Sciences
  • Frank Greco, Chairman, NYJavaSIG
Developer Sessions
Machine Learning Live: Let’s Build a Taxi Fare Predictor [DEV5424]
Monday, Oct 22, 4:00 p.m. - 4:45 p.m. | Moscone West - Room 2006

Regardless of what you’ve seen or heard, machine learning is not that complicated, and simple but valuable use cases that extend traditional analytical capabilities are easily unlocked. In this session, the presenters build a prediction model for taxi fares based on existing public data. Watch as they explore the dataset, derive estimates with basic analytics, and then train their model with several iterations of linear regression algorithms to outperform those estimates. You’ll understand the methods, tools, and algorithms used in this predictor and witness the live development and training of their machine learning model. Are you ready to finally understand what machine learning is all about?

Hosted by:

  • Stewart Bryson, Co-founder and CEO, Red Pill Analytics
  • Bjoern Rost, Principal Consultant, The Pythian Group Inc.
Developer Sessions
Machine Learning Applied: Contextual Chatbots Coding, Oracle JET, and TensorFlow [DEV4293]
Wednesday, Oct 24, 9:00 a.m. - 9:45 a.m. | Moscone West - Room 2007

Learn how to build a client-side chatbot with Oracle JavaScript Extension Toolkit (Oracle JET) on top of a contextual chatbot model implemented with the TensorFlow Learn library, using a deep neural network model. Context is king when you’re talking about intelligent chatbots. It is very important to keep context in mind; otherwise conversation becomes useless. This session focuses on three areas: user intent processing with TensorFlow machine learning, conversation context tracking, and chatbot UI implementation with Oracle JET. Communication between the Oracle JET client side and TensorFlow is implemented through REST with the Flask microframework for Python.

Hosted by:

  • Andrejus Baranovskis, Chief Executive Officer & Technical Expert, Red Samurai Consulting
Developer Sessions
Evaluation of Machine Learning in R and Python and In-Database Machine Learning [DEV4736]
Thursday, Oct 25, 9:00 a.m. - 9:45 a.m. | Moscone West - Room 2018

Machine learning is one of the most popular topics nowadays, and many organizations around the world are looking to see how they can use it. But there can be some confusion about what the best language or tool to use for machine learning is. This session examines three of the most common methods for performing machine learning. These include using the R and Python languages as well as the machine learning capabilities available in the database. Using examples from the well-known Kaggle competition website, the presentation shows how to perform machine learning with these three languages.

Hosted by:

  • Brendan Tierney, Oralytics
  • Heli Helskyaho, CEO, Miracle Finland Oy
Developer Sessions
Database-Driven Machine Learning [DEV4714]
Thursday, Oct 25, 12:00 p.m. - 12:45 p.m. | Moscone West - Room 2018

Databases store business-critical data. Rather than getting inputs for machine learning from log files, why not use the relational data that runs your company? This session focuses on the useful aspects of machine learning and data science that developers and DBAs can apply without requiring a PhD in AI or advanced statistics. It gives examples of using SQL analytics, ROracle, and Python for machine learning based on data in Oracle Database tables.

Hosted by:

  • Doug Hood, Cloud Product Manager, Oracle
Product Overview Sessions
The Modern Data Lake Platform for Data Science [PRO4261]
Monday, Oct 22, 9:00 a.m. - 9:45 a.m. | Moscone West - Room 3010

Data lakes have traditionally been built on Hadoop but with the advent of cloud-based object storage there’s a new architecture in town. In this session learn how to build an autonomous data lake that is more elastic and lower cost than a Hadoop-based lake. The session also covers the ecosystem surrounding the data lake including both data integration (ingestion, transformation) and data science.

Hosted by:

  • Praveen Deshpande, Director, Product Management, Oracle
Product Overview Sessions
Innovating with Oracle Data Science Cloud and Oracle Big Data Platform [PRO4285]
Monday, Oct 22, 10:30 a.m. - 11:15 a.m. | Moscone West - Room 3010

Have you developed a strategy for data science and artificial intelligence for your organization? 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? Join this session to see how machine learning, artificial intelligence, and Oracle Data Science Cloud work with Oracle Big Data Cloud to supercharge your ability to drive digital transformation in your company or organization. Through a combination of product updates from the product team, live demonstrations, and customer stories, see how Oracle is now delivering a cloud native, open, and intelligent cloud platform for data science and data lakes.

Hosted by:

  • Michael Lehmann, VP Product Management, Oracle
Product Overview Sessions
Big Data and Data Science Powering Smart Manufacturing [PRO4486]
Monday, Oct 22, 12:30 p.m. - 1:15 p.m. | Moscone West - Room 3009

Manufacturers generate massive amounts of data about their manufacturing operations using a heterogeneous mix of information. Traditional operational reporting and BI systems are not designed to provide actionable intelligence from these massive data sets. Learn how Oracle's big data and data science platform enables Oracle Adaptive Intelligent Applications for manufacturing to uncover hidden patterns and correlations for rapid root cause analysis and provide actionable predictions to improve yield and reduce defects, cycle times, scrap, rework, and costs.

Hosted by:

  • Gopal Ratnam, Oracle
  • Aali Masood, Senior Director, Big Data Go-To-Market, Oracle
Product Overview Sessions
Machine Learning and Artificial Intelligence for Smart Manufacturing [PRO4243]
Monday, Oct 22, 12:30 p.m. - 1:15 p.m. | Moscone North - Room 22

In this session get a sneak peek into Oracle's prepackaged cloud applications for smart manufacturing built on Oracle’s platform-as-as-service components to collect, store, and analyze massive amounts of data from shop floor systems such as manufacturing execution systems, quality systems, test stations, programmable logic controllers, and supervisory control and data acquisition systems. These data sets are contextualized with reference data in ERP systems into a consolidated operational data store and analyzed by applying advanced analytics and data mining/data science techniques and algorithms to discover patterns and correlations. This data can provide actionable insight to improve yield, reduce defects, minimize cycle times, reduce manufacturing costs, and minimize equipment downtime.

Hosted by:

  • Ramchand Raman, Oracle
Product Overview Sessions
Big Data Lab Powered by Data Science [PRO4258]
Monday, Oct 22, 5:45 p.m. - 6:30 p.m. | Moscone West - Room 3010

Experimenting with machine learning and deep learning capabilities is a key goal for data scientists. In this session learn how data scientists set up a data lab, build and populate a data lake, and apply machine learning models to address needs of the business.

Hosted by:

  • Wes Prichard, Oracle
  • Aali Masood, Senior Director, Big Data Go-To-Market, Oracle
Product Overview Sessions
Machine Learning with R and Zeppelin on Oracle Big Data Solutions [PRO4054]
Tuesday, Oct 23, 1:45 p.m. - 2:30 p.m. | Moscone West - Room 3005

High-performing machine learning algorithms come packaged in Oracle Big Data Cloud Service and Oracle Big Data Cloud at Customer. In this session learn how to interface with data lakes and large datasets using the Oracle Big Data manager UI, which contains a zeppelin notebook interface. Discover how this allows for the use of SQL queries and the R language to manipulate data from an object store and HDFS, HIVE, and IMPALA tables, and it can also be used to create machine learning algorithms using Spark and graph computations using Oracle Big Data Spatial and Graph—all from one simple interface.

Hosted by:

  • Marcos Arancibia Coddou, Product Manager, Oracle Data Science and Big Data, Oracle
Product Overview Sessions
Injecting AI into Applications to Make Them Smarter [PRO6268]
Thursday, Oct 25, 11:00 a.m. - 11:45 a.m. | Moscone West - Room 3024

This session takes a deep dive into how Oracle’s data science platform helps enterprise data scientists collaborate on building, training, and deploying models on Oracle Cloud. Explore the platform's ease of use, project-based workflows, and other features that help data scientists be more productive in helping application developers and business analysts consume more artificial intelligence and machine learning. In addition learn how the platform integrates with the various IaaS and PaaS offerings in Oracle Cloud to enable powerful and scalable data science workflows.

Hosted by:

  • Elena Albright, Principal Product Manager, Oracle
Product Roadmap Sessions
ModelOps: Best Practices for Enterprise Model Operations and Management [PRM6267]
Tuesday, Oct 23, 5:45 p.m. - 6:30 p.m. | Moscone West - Room 3022

For organizations that aspire to be AI-driven, it is critical to develop standardized practices for deploying predictive models into production, as well as monitoring and managing those models. While some teams may overlook this process in the early stages of their data science maturity, it is essential to lay the right ModelOps foundation so that your organization can efficiently scale from deploying and managing tens of models to hundreds or thousands. In this session learn how organizations can develop best-in-class ModelOps practices, and leverage Oracle’s data science platform to shorten time to deployment and ensure that models are continuing to deliver accurate predictions after deployment.

Hosted by:

  • JR Gauthier, Lead Data Scientist, Oracle
Product Training Sessions
A Deep Dive into Oracle's Artificial Intelligence Platform [TRN4631]
Tuesday, Oct 23, 3:45 p.m. - 4:30 p.m. | Moscone West - Room 3024

This session takes a deep dive into how the Oracle’s data science platform helps enterprise data scientists collaborate on building, training, and deploying models on Oracle Cloud. See the platform's ease of use, project-based workflows, and other features that help data scientists be more productive in helping application developers and business analysts consume more artificial intelligence and machine learning. Learn how the platform integrates with the various IaaS and PaaS offerings in Oracle Cloud to enable powerful and scalable data science workflows.

Hosted by:

  • Ian Swanson, Oracle
  • Elena Albright, Principal Product Manager, Oracle