Complexity, Compute & Storage

Lawrence Spracklen

Data Growth Well Understood

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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

Complexity Trumps Size

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c Dataset

# of possible insights in the Dataset is exponential in size

# of possible insights in

the Dataset next year after it grows another 40%

Coding

Complexity Has Broken Legacy Analytics

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Questions Data Analysts Insight

Weeks/Months/Years/Never

Complexity is Reflected in Shapes

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Regression Cluster Flared

v v v v

v v v v

Loop

v v

v

v

v v v

v

v

v v

Most Data Has ALL These Shapes

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The Answer is Topological Data Analysis

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Continuous Improvement

Data Actionable

Insights Topological Summaries Algorithms

Machine Intelligence For Business

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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

Modeling Institutional Risk

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Correlation with Business Performance

High Low

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Segmenting Customers

Returning Customers

High Low

Country 1 Country 5

Sequencing for Optimal Outcomes

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Interfaces for Practitioners

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Company Confidential & Proprietary

Architected to Scale

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3rd Party Apps DB 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

TDA Demands Compute

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Corporate Headquarters 4400 Bohannon Drive Suite #200 Menlo Park, CA 94025 ayasdi.com

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Questions? lawrence@ayasdi.com