Internet of Things: Lightning Round, Hite


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Internet of Things: Lightning Round, Hite

  1. 1. Rodney Hite Lightning Round Product Manager, Big Data Solutions, ViON
  2. 2. Analytics in the Age of Big Data
  3. 3. Big Data #1 “Most Ambiguous Terms” Global Language Monitor
  4. 4. Big Data Is Not New 4 1976 – physical disk formats: hard-sectored 90 KB and soft- sectored 110 KB 1983 - single-sided media, with formatted capacities of 360 KB 1984 – double-sided media, with formatted capacities of 720 KB 1986 - What became the most common format, the double- sided, high-density (HD) 1.44 MB disk drive.
  5. 5. The New “Big Data” 5 Gartner. In 2001, a Meta (now Gartner) report noted the increasing size of data, the increasing rate at which it is produced and the increasing range of formats and representations employed. This report predated the term “Big Data” but proposed a three-fold definition encompassing the “three V’s”: Volume, Velocity and Variety. 2008 - Apache Hadoop is an open-source software framework for storage and large-scale processing of data-sets on clusters of commodity hardware.
  6. 6. 6 Semantic Extraction Sentiment Analysis Entity Extraction Link Analysis Temporal Analysis Geospatial Analysis Time Event Matrices Predictive Pattern Analysis Video/Imagery Analytics Machine Created - logs Email Video – Predator Surveillance Audio – Phone recordings Sensor - Weather Social Media - Twitter Databases – Structured Text Reports – Semi-Structured Text Documents – Unstructured Text Graphs – Graph Dbs Data Analytics A new world of analytical possibilities is opened. Data and Complexity
  7. 7. 7 It’s All About the Data
  8. 8. Getting Value 8 Visualization Is A Critical Accelerator For Data Exploration The Best Big Data integration technology allow visual exploration of data independent of the type of data or the source from which it came
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  10. 10. Gartner Hype Curve 10 What’s really new is the technology available that allows us to make sense of the data.
  11. 11. Visualization versus Analytics 11 Data Visualization - data that is available to those who know how to get it and make it presentation friendly and easier to digest by your average audience member. Data Analytics - is a multi- dimensional discipline using mathematics and statistics to gain valuable knowledge from data - data analysis.
  12. 12. Top 100 NFL Players of All Time 12
  13. 13. NFL Graphs 13 • Predictive Analytics used to determine probability of success based on Down and Distance. • Correlation Analytics conducted on Tom Brady’s individual statistics and his affect on game outcome.
  14. 14. MLB Pitching Analysis 14 Analyze multiple data sources to include video analytics to maximize the usage of the data providing valuable insight. TruMedia's MLB analytics platform Pitch Frequency Strikeout Pitches
  15. 15. Geospatial Analysis – Data Fusion 15 Data integration with mapping features allows interactive visualization of data fusion with Geospatial and Temporal references.
  16. 16. Cyber Security Analysis 16 • Analysis to identify tactics, techniques and processes to identify, isolate and eliminate risks to the environment. • Discover actionable, often unforeseen, insight because the Semantic Analysis highlights interdisciplinary relationships and unexpected data combinations
  17. 17. Fraud Detection Fraud involves cell phones, insurance claims, tax return claims, credit card transactions etc Combine historical and transactional data to detect fraudulent activity, identify transactional behavior that indicates a high likelihood of illegal activities. 17
  18. 18. Predictive Pattern Analytics Analytical tool for predicting the location of future incidents This analytic provides an awareness of the general situation, and additionally it provides a series of tools for decision support 18
  19. 19. Investigations - Pattern of Life 19 • Pattern-of-life analysis is a method of surveillance specifically used for documenting or understanding a subject’s habits. • This information can then be used to predict future actions by the subject(s) being observed.
  20. 20. Social Media Analysis – NLP & Entity Extraction Advanced text analytics tools analyze the unstructured text to gain understanding of the context, identify entities and their relationships, conduct topic clustering, determine contextual sentiment, and conduct time-event trending. 20
  21. 21. What Is A Successful Big Data Strategy Defined Desired Results – Design an Iterative Approach Future - Be future proof through design – Hadoop and NoSQL Cost - Understand the Licensing Model vs Professional Services Resources – Use your Data Scientist and Engineers on the Data not the Infrastructure Integration - Big Data integrations are built to be embedded in other environments
  22. 22. Thank You! Rodney Hite Product Manager – Big Data O: 571-353-6097/c: 919-604-0809