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Ayasdi strata
- 1. Complexity, Compute &Storage Lawrence Spracklen
- 2. Data Growth WellUnderstood 2 1,000,000,000,000 Gigabyte 1,000,000,000,000 Terabyte 1,000,000,000,000 Petabyte 1,000,000,000,000 Exabyte 1,000,000,000,000 Zetabyte 0 5 10 15 20 25 30 35 40 45 50 2013 2014 2015 2016 2017 2018 2019 2020 Data in Zettabytes
- 3. Complexity Trumps Size 3 Dataset #of possible insights in the Dataset is exponential in size # of possible insights in the Dataset next year after it grows another 40%
- 4. Coding Complexity Has BrokenLegacy Analytics 4 Questions DataAnalysts Insight Weeks/Months/Years/Never
- 5. Complexity is Reflectedin Shapes 5 Regression Cluster Flared Loop
- 6. Most Data HasALL These Shapes 6
- 7. The Answer isTopological Data Analysis 7 Continuous Improvement Data Actionable Insights Topological SummariesAlgorithms
- 8. Machine Intelligence ForBusiness 8 Continuous Improvement Medical Records Billing Demographic Transactions Population Optimized Clinical Pathways Profile Market Model Risk Management Healthcare Financial Services Find all significant patterns Explain underlying reasons Simplified visual representation Accelerated insight Improves with more data Retail Web Purchase Micro Segmentation
- 9. Modeling Institutional Risk 9 Correlationwith Business Performance High Low
- 10. 10 Segmenting Customers Returning Customers HighLow Country 1 Country 5
- 11. Sequencing for OptimalOutcomes 11
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- 13. Company Confidential &Proprietary Architected to Scale 13 3rd Party AppsDB Flat Files Custom Applications REST API Statistical, Machine Learning and Geometric Algorithms Topological Summaries DW CSV YARN Orchestration Analytics Platform Input Data User Applications Scalable Compute API
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- 15. Corporate Headquarters 4400 BohannonDrive Suite #200 Menlo Park, CA 94025 ayasdi.com 15 Questions? lawrence@ayasdi.com