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How Big Companies plan to use Our Big Data 201610

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Underneath the shiny popular apps on tablets, smartphones, and entertainment channels are typically large cloud-based data centers. App developers leverage the cloud to provide advertisers with targeted sales opportunities, which has been accounting for an ongoing shift from paper to online media. This presentation will provide updated trends and statistics for 2016 on big data usage (based on consumer use), statistical concerns with big data, and the Microsoft big data story.

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How Big Companies plan to use Our Big Data 201610

  1. 1. Mark Tabladillo Ph.D. Orlando, FL 2016
  2. 2. Nova (PBS) 15 Years of Terror (September 7, 2016) Cyberwar Threat (October 14, 2015)
  3. 3. Intro to Big Data (2016)
  4. 4. What is Big Data (2016)
  5. 5. Salaries (2015) Retrieved October 2016 http://www.forbes.com/sites/louiscolumbus/2015/11/16/where-big-data-jobs-will-be-in-2016/#111ddf2cf7f1
  6. 6. Top Ten Industries (2015) Retrieved October 2016 http://www.forbes.com/sites/louiscolumbus/2015/11/16/where-big-data-jobs-will-be-in-2016/#111ddf2cf7f1
  7. 7. Top Employment Markets
  8. 8. Alexa’s Largest Websites
  9. 9. Google Monitoring (2016)
  10. 10. Big Data Predictions (2016)
  11. 11. Google Revenue (2011)
  12. 12. YouTube (2014)
  13. 13. Social Media Users (2016)
  14. 14. Why Success Depends on Data FOOD : DATA :: RECIPE : MODEL
  15. 15. Google Flu Trends (GFT): RIP 2008 • Published in Nature, searches could beat the Centers for Disease Control by two weeks 2013 • GFT missed the flu season peak by 140 percent • “Quietly Euthanized” 2014 • In Science, paper showed good performance for 2-3 years • Overfitted to terms like “high school basketball” Retrieved October 2016 https://www.wired.com/2015/10/can-learn-epic-failure-google-flu-trends/
  16. 16. Spurious Correlations
  17. 17. Spurious Correlations
  18. 18. We now face the next disruption – the fourth industrial revolution IntelligenceCloudBig Data
  19. 19. Data is a key strategic asset $ 1.6TAdditional business value captured by companies that are leaders in using data assets to their advantage Source: IDC, 2014 10%Percent of organizations expected to have a highly profitable business unit specifically for productizing and commercializing their data by 2020 Source: Gartner, 2016
  20. 20. The cloud offers limitless computing power Speed EconomicsScale
  21. 21. 67 Years 25 Years 15 Years The time to adapt to disruptions is shrinking Source: BBC A hundred years ago, the average lifespan of a company listed on the S&P 500 index was 67 years 75% of the S&P 500 will be new (not on the index today) 25% of the S&P 500 will be ones on the index today In the 2020s…
  22. 22. And incorporating industry-leading Microsoft solutions Action People Automated Systems Apps Web Mobile Bots Intelligence Dashboards & Visualizations Cortana Bot Framework Cognitive Services Power BI Information Management Event Hubs Data Catalog Data Factory Machine Learning and Analytics HDInsight (Hadoop and Spark) Stream Analytics Intelligence Data Lake Analytics Machine Learning Big Data Stores SQL Data Warehouse Data Lake Store Data Sources Apps Sensors and devices Data
  23. 23. Here are some examples of how our customers are staying ahead Exploring new business opportunities with data-driven services Improving visibility and making accurate predictions with remote monitoring Getting the right products to the right places with inventory management Offering customers exactly what they want, when they want it, with personalization Fixing problems proactively before they start with predictive maintenance
  24. 24. Bing Predicts

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