Kevin Han - Oracle Presentation

Transcript

1. Copyright © 2018, Oracle and/or its affiliates. All rights reserved. Cloud & Autonomous Overview Kevin Han
2. Copyright © 2018 Oracle and/or its affiliates. All rights reserved. Oracle Confidential. Internal Use Only. Copyright © 2018, Oracle and/or its affiliates. All rights reserved. 2 Why Oracle
3. Copyright © 2018 Oracle and/or its affiliates. All rights reserved. Oracle Confidential. Internal Use Only. Oracle Confidential – Internal/Restricted/Highly Restricted 3 Copyright © 2018, Oracle and/or its affiliates. All rights reserved. | 3 Amazon Web Services (AWS) Hidden Costs: • Complex • Operational Facets • Encourages requests for more services • Unused Resources • No Usage Oversight Service Limitations: • IaaS • Lacks Database or Middleware • Limited PaaS • Lack native app development • No Oracle or Microsoft License (BYOL) Support • Self-Service
4. Copyright © 2018 Oracle and/or its affiliates. All rights reserved. Oracle Confidential. Internal Use Only. Oracle Confidential – Internal/Restricted/Highly Restricted 4 Copyright © 2018, Oracle and/or its affiliates. All rights reserved. | 4 Amazon Web Services (AWS) Customer Reviews: • Spend ~300k annually to monitor and manually decommission resources • Additional computational power and storage needed to compete with other cloud services • Data transfer and storage request are extremely costly • Billing does not provide enough detail
5. Copyright © 2018 Oracle and/or its affiliates. All rights reserved. Oracle Confidential. Internal Use Only. Overview 5
6. Copyright © 2018 Oracle and/or its affiliates. All rights reserved. Oracle Confidential. Internal Use Only. 6
7. Copyright © 2018 Oracle and/or its affiliates. All rights reserved. Oracle Confidential. Internal Use Only. 7 Copyright © 2018 Oracle and/or its affiliates. All rights reserved. CLOUD The Most Complete Cloud
8. Copyright © 2018 Oracle and/or its affiliates. All rights reserved. Oracle Confidential. Internal Use Only. 8 Copyright © 2018 Oracle and/or its affiliates. All rights reserved. What we provide… • Move → Connect → Transform • Workloads, on-premises, predictive insights • Compatibility • New, Legacy, Hybrid • Latest and Emerging Technology • AI, Machine Learning, IoT • Built in Best Modern Practices and Data-Driven intelligence
9. Copyright © 2018 Oracle and/or its affiliates. All rights reserved. Oracle Confidential. Internal Use Only. 9 Copyright © 2018 Oracle and/or its affiliates. All rights reserved. CLOUD The Most Complete Cloud CLOUD The Most Complete Cloud Oracle Data Cloud • Understand your Audience • Leverage data from Oracle and Third-Party Sources • Connect with 99% of the Media Landscape • Determine Best Environments • Brand Safety Solutions • Predictive Contextual Targeting • Improve ROI
10. Copyright © 2018 Oracle and/or its affiliates. All rights reserved. Oracle Confidential. Internal Use Only. Oracle Confidential – Internal/Restricted/Highly Restricted 10 Copyright © 2018, Oracle and/or its affiliates. All rights reserved. | 10 Pinterest • 100 Million Users • Better understand their customers • Great Place to Advertise • Measure Performance • Used Oracle’s DaaS product • Results: Double in sales from Media
11. Copyright © 2018 Oracle and/or its affiliates. All rights reserved. Oracle Confidential. Internal Use Only. 11 Copyright © 2018 Oracle and/or its affiliates. All rights reserved. CLOUD The Most Complete Cloud Software-as-a-Service • 1000+ Products that Covers All Major Categories • Supply Chain, ERP/EPM, Modern HR, Marketing, Sales, Service, and more • Complete Cloud Suite • Data Silos, Multiple order to cash processes, etc. • Future Proof • New technology, automatic updates, no data scientists • Secure at Every Layer • Data Isolation Architecture, Global Operation • Scalability • Noisy Neighbor
12. Copyright © 2018 Oracle and/or its affiliates. All rights reserved. Oracle Confidential. Internal Use Only. Oracle Confidential – Internal/Restricted/Highly Restricted 12 Copyright © 2018, Oracle and/or its affiliates. All rights reserved. | 12 Pandora • 80 Million users , 1 billion ad impressions per month • Modernize finance function to support growth • Real Time Views and Robust Financial Reports led to better strategic decisions • Results: Enhanced listener experience, expansion of product portfolio, met advertiser needs
13. Copyright © 2018 Oracle and/or its affiliates. All rights reserved. Oracle Confidential. Internal Use Only. 13 Copyright © 2018 Oracle and/or its affiliates. All rights reserved. CLOUD The Most Complete Cloud Platform-as-a-Service • Offerings in major categories: • data management, application development, enterprise and data integration, business analytics, and more • Comprehensive • All Layers + On-Premise • Adaptive – Workloads & Applications • Secure • Super-users & Cloud Administrators • Choice • Public or Private • Future-Ready • Analytical Services • Data Ingest & Governance, reporting, ML models
14. Copyright © 2018 Oracle and/or its affiliates. All rights reserved. Oracle Confidential. Internal Use Only. Oracle Confidential – Internal/Restricted/Highly Restricted 14 Copyright © 2018, Oracle and/or its affiliates. All rights reserved. | 14 GE (General Electric) • Revolutionize Maintenance • Database, Java, Integration, IoT Sensors • Result: Securely ingest machine grade data at scale and quickly analyze it, improving scheduling of maintenance which reduced cost and provided better customer service
15. Copyright © 2018 Oracle and/or its affiliates. All rights reserved. Oracle Confidential. Internal Use Only. 15 Copyright © 2018 Oracle and/or its affiliates. All rights reserved. Infrastructure-as-a-Service • Faster than AWS • Compute & Storage Hops • Public Cloud + On-premise benefits • Demand, scalability, price, predictability, scalability • Products in many areas: • Compute, Storage, Networking, Fastconnect, Containers, Security, Edge Services, Ravello Service • Use Cases: • Move to Cloud, Exceed on-premise performance, data protection, leverage cloud for development, test, and production
16. Copyright © 2018 Oracle and/or its affiliates. All rights reserved. Oracle Confidential. Internal Use Only. Oracle Confidential – Internal/Restricted/Highly Restricted 16 Copyright © 2018, Oracle and/or its affiliates. All rights reserved. | 16 Tippet Studio • Star Wars – Han Solo • Used Oracle Storage and Archive to store and connect digital files • Result: Quick and secure access to digital files by artists anytime and anywhere, experienced a 10x cost reduction compared to old cloud provider
17. Copyright © 2018 Oracle and/or its affiliates. All rights reserved. Oracle Confidential. Internal Use Only. Copyright © 2018, Oracle and/or its affiliates. All rights reserved. Recently… 17 • Cisco Tetration’s switch to Oracle Cloud Infrastructure, from on-premises appliance, boosted CPU utilization and performance by 2.5x • Companies using Oracle’s manageability solution experienced a 4x return increase on investments • Companies using Oracle’s integrated, cloud-based management solutions lowered total cost of ownership by 61% • And more…
18. Copyright © 2018, Oracle and/or its affiliates. All rights reserved. Questions?
19. How can we effectively identify potential bias and misinformation? 1
20. The idea 2 Text Overall Score Political Bias Classification Sensationalism Score Propaganda Classification
21. 3 Data sources ◉ Reddit comments ◦ Scraped from political subreddits (r/Conservative, r/Liberal, etc.) ◦ Midterm Election (November 2018) ◉ Russian Twitter propaganda ◦ 3 million tweets posted by Russian trolls ◦ Labeled tweet content ▪ type of bot (including left and right leaning) ▪ 20 other features not used ◦ Presidential Election ◉ “Normal” tweets ◦ 5k tweets collected by Sanders Analytics Propaganda Tweets Reddit Comments “Normal” Tweets Propaganda dataset Political bias dataset
22. Datasets Political Bias ◉ 20,000 records ◦ 10,000 Reddit comments ◦ 10,000 tweets from labeled Russian Twitter propaganda ◉ Two fields ◦ Text ◦ Political leaning (right or left) 4 Propaganda ◉ 10,000 records ◦ 5000 tweets from Russian Twitter propaganda ◦ 5000 tweets from “normal” tweet dataset ◉ Two fields ◦ Tweet ◦ “bot” or “not-bot”
23. 5 Extracting relevant data Filter Transform Clean ◉ Remove records with empty content (NAs) ◉ Replace non-ASCII and non-english characters with spaces ◉ Ensure balance of class labels (base rate of 50%) ◉ Word stemming (Porter algorithm) ◉ Term-frequency inverse document frequency (TF-IDF) ◉ Remove features (words) mentioned very infrequently ◉ Reduced features by about 90% ◉ Significant model performance increase
24. 6 Political bias results ◉ Accuracy: 84.6% ◉ Important features ◉ Darwin model and parameters ◦ XGBoost ◉ Accuracy: 99.4% ◉ Important features ◉ Darwin model and parameters ◦ XGBoost
25. Thank You 7