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Oracle's Comprehensive Machine Learning Platform

Oracle's Comprehensive Machine Learning Platform

Get an inside look at Oracle's platform AI solutions including new approaches using machine learning and data science.

In this session learn Oracle’s strategy and solutions for AI across all of Oracle cloud platform and how they support both data scientists and the extended data science team of data engineers, business analysts, and application developers. Learn how to take advantage of the machine learning capabilities embedded in Oracle Database, Hadoop, and Oracle Analytics, and see how Oracle Data Science Cloud improves teamwork and shortens time to value.

Marcos Arancibia

December 11, 2019
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  1. With Mark Hornick, Senior Director, Product Management, Data Science and

    Machine Learning @MarkHornick Marcos Arancibia, Product Mgr. Data Science and Big Data @MarcosArancibia oracle.com/goto/machinelearning Oracle Machine Learning Office Hours Session #2, December 11, 2019 Copyright © 2019, Oracle and/or its affiliates. All rights reserved
  2. The following is intended to outline our general product direction.

    It is intended for information purposes only, and may not be incorporated into any contract. It is not a commitment to deliver any material, code, or functionality, and should not be relied upon in making purchasing decisions. The development, release, timing, and pricing of any features or functionality described for Oracle’s products may change and remains at the sole discretion of Oracle Corporation. Safe Harbor Copyright © 2019 Oracle and/or its affiliates.
  3. Next Sessions to look for: December 12th, 2019: Database Cloud

    Service Office Hours, 10AM US Pacific Using Machine Learning Results with APEX Tammy Bednar, Senior Director of Product Management, Database Cloud Services Charlie Berger, Sr. Dir. Product Mgt., Machine Learning, AI and Cognitive Analytics David Peake, Senior Principal Product Manager - Application Express January 8th, 2020: Oracle Machine Office Hours, 9AM US Pacific Oracle Machine Learning for Python, with Demos Mark Hornick, Senior Director, Product Management, Data Science and Machine Learning Marcos Arancibia, Product Manager, Oracle Data Science and Big Data Copyright © 2019, Oracle and/or its affiliates. All rights reserved
  4. Topics • News OAA Option now included free with Oracle

    Database • Web Questions • Guest speaker Wes Prichard – Oracle's Comprehensive Machine Learning Platform • Q&A Copyright © 2019 Oracle and/or its affiliates.
  5. Oracle Advanced Analytics Option now free with Oracle Database •

    As of December 5, 2019, the Machine Learning (Advanced Analytics), Spatial and Graph features of Oracle Database may be used for development and deployment purposes with all on-premises editions and Oracle Cloud Database Services without additional licenses • Aligns with Oracle’s multi-model converged architecture Multiple data types, data models, algorithms, and workload types within a single database • At no additional cost, take full advantage of the enterprise-class performance, reliability and security of Oracle Database • Encourage and enable greater use of the full breadth of Oracle Database • Technologies like machine learning, graph analytics, and spatial intelligence should be part of almost every modern application, and Oracle believes that these technologies should be broadly available to all Oracle customers Copyright © 2019 Oracle and/or its affiliates.
  6. For details see our blogs à blogs.oracle.com • Machine Learning,

    Spatial and Graph - No License Required! • Machine Learning in Oracle Database • Spatial now free with all editions of Oracle Database • Graph Database and Analytics for everyone Copyright © 2019 Oracle and/or its affiliates.
  7. Web Questions • Does the inclusion of OAA in the

    Oracle Database license also include OML4R (Oracle R Enterprise)? • What is the plan for the Oracle Data Miner user interface in SQL Developer? Copyright © 2019 Oracle and/or its affiliates.
  8. Today’s Session: Oracle's Comprehensive Machine Learning Platform with Wes Prichard

    • Learn about Oracle’s strategy and solutions for AI across all of the Oracle Cloud Platform and how they support both data scientists and the extended data science team of data engineers, business analysts, and application developers Copyright © 2019, Oracle and/or its affiliates. All rights reserved
  9. Safe harbor statement The following is intended to outline our

    general product direction. It is intended for information purposes only, and may not be incorporated into any contract. It is not a commitment to deliver any material, code, or functionality, and should not be relied upon in making purchasing decisions. The development, release, timing, and pricing of any features or functionality described for Oracle’s products may change and remains at the sole discretion of Oracle Corporation. Copyright © 2019 Oracle and/or its affiliates
  10. Challenges of Machine Learning Access to Data ▪ On-prem/cloud/hybrid data

    management ▪ Finding data ▪ Combining data Complex lifecycle to build models ▪ Multiple roles involved ▪ Reuse of past work ▪ Access to tools and infrastructure Operationalizing ML ▪ Packaging models for consumption ▪ Monitoring models ▪ Updating models Copyright © 2019 Oracle and/or its affiliates
  11. Machine Learning Made Easier For You More Simplicity More Time

    More Results Copyright © 2019 Oracle and/or its affiliates
  12. Machine Learning at Oracle ▪ Oracle Labs ▪ Exploratory Research

    ▪ Directed Research ▪ Consulting ▪ Incubation ▪ Developer Productivity ▪ Global Info Security ▪ Customer Support ▪ Sales ▪ Applications: Enterprise & Industry ▪ Platform Services and Technology ▪ ML Tools Copyright © 2019 Oracle and/or its affiliates PRODUCTS RESEARCH OPERATIONS ▪ ML Specialists ▪ Data Innovation Service ▪ Specialized Algorithms SERVICES
  13. Machine Learning in Oracle’s products Applications ▪ Adaptive Intelligent Apps

    ▪ Intelligent UX ▪ Conversational Agents Platform Services ▪ Autonomous Database ▪ Oracle Analytics Cloud ▪ Cloud Infrastructure ML Platform ▪ ML Tools ▪ Data Management ▪ Analytics ▪ 3rd Party Copyright © 2019 Oracle and/or its affiliates Ready-to-Go Ready-to-Build Ready-to-Work
  14. Building Machine Learning Solutions Copyright © 2019 Oracle and/or its

    affiliates Data Data Management Machine Learning Tools Consuming Systems & Users Business Needs Drives Solutions
  15. Oracle’s approach to Machine Learning Tools Copyright © 2019 Oracle

    and/or its affiliates Oracle Machine Learning OCI Data Science 3rd Party ML on Cloud Infrastructure • Supports multiple roles • Oracle’s optimized algorithms • Data in Oracle Data Management • Performance with your own tools • For data scientists collaborating with multiple roles • Open source algorithms • Data source agnostic
  16. Oracle’s Data Platform for ML Copyright © 2019 Oracle and/or

    its affiliates Data Integration Data Catalog Data Science Cloud SQL Business Analytics Analyze Metadata Process & Manage Data Store Block Storage. File Storage. Object Storage Streaming Database Migration Big Data Service Data Flow MySQL Database Exadata Autonomous Database Graph Machine Learning
  17. ML in Databases Copyright © 2019 Oracle and/or its affiliates

    Autonomous Database Oracle Database OML Notebooks Database Cloud Service OML4SQL Oracle Data Miner OML4R OML4Py* SQL Developer SQL*Plus SQL Developer R client Python client Data Management Platform Oracle Machine Learning Component Tool ML ML ML *Coming soon Apache Zeppelin (OML – Oracle Machine Learning)
  18. SQL Data Access Copyright © 2019 Oracle and/or its affiliates

    Autonomous Database Oracle Database Database Cloud Service Data Management Platform ML ML ML Oracle Cloud SQL Oracle Big Data SQL Oracle Database Oracle Object Storage Oracle Big Data Service Kafka Streams NoSQL Databases Azure Blog Storage Amazon S3 Data Sources
  19. ML on Apache Spark Clusters Copyright © 2019 Oracle and/or

    its affiliates Oracle Big Data Appliance Oracle Big Data Service* DIY Spark Clusters OML4Spark R client Data Management Platform *Coming soon Tool Supported by Oracle R Advanced Analytics for Hadoop (ORAAH) Oracle Machine Learning Component
  20. OCI Data Science Collaboration and scalability for data science teams

    Copyright © 2019 Oracle and/or its affiliates
  21. OCI Data Science: Building, Training, & Deploying AI/ML on Oracle

    Cloud Copyright © 2019 Oracle and/or its affiliates Oracle Cloud Infrastructure OCI Data Science* More Simplicity Project-driven UI enables teams to easily work together on end-to-end modeling workflows with self-service access to data and resources More Results Support for latest open source tools and tight integration with OCI Platform, infrastructure, developer, and data services More Time A fully-managed platform for the modern enterprise that you don’t have to build OCI Platform (Compute, Storage, Networking, Security) Object Storage Projects JupyterLab Notebook Sessions Open Source Languages & Libraries Model Catalog Expertise Content Model Training Model Deployment Model Management Accelerated Data Science SDK Autonomous Transaction Processing Autonomous Data Warehouse Data Flow (Spark) Functions as a Service *Coming soon
  22. Data Platforms AI & ML Data Lake Data Integration &

    Preparation BI & Visualization Edge Storage Containers Compute Network Database Oracle Cloud Infrastructure Third party ML on Oracle Cloud Infrastructure Copyright © 2019 Oracle and/or its affiliates
  23. Using Graph Analytics with Machine Learning Copyright © 2019 Oracle

    and/or its affiliates Graph Analytics Compute graph metric(s) Explore graph or compute new metrics using ML result Machine Learning Build predictive model using graph metric Build model(s) and score or classify data Add to structured data Add to graph
  24. Graph Integrated with ML in Data Management Copyright © 2019

    Oracle and/or its affiliates Autonomous Database Oracle Database with Spatial & Graph Option Database Cloud Service Data Management Platform ML Graph & ML Graph & ML Oracle Big Data Appliance Oracle Big Data Service* DIY Spark Clusters DIY Hadoop Clusters Data Management Platform Spatial & Graph Database option Big Data Spatial & Graph Graph Engine with data modeling, notebooks, visualization, REST APIs* *Coming soon
  25. Copyright © 2019 Oracle and/or its affiliates More Simplicity ✓

    Easier access to data ✓ Easier environment management ✓ Easier deployment More Time ✓ Collaborate more effectively ✓ Automate data science tasks ✓ High-performance tools More Results ✓ On-premises and cloud solutions ✓ Multiple data science languages ✓ Capabilities for more people