Complexity, Compute & Storage
Lawrence Spracklen
Data Growth Well Understood
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
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%
Coding
Complexity Has Broken Legacy Analytics
4
Questions DataAnalysts Insight
Weeks/Months/Years/Never
Complexity is Reflected in Shapes
5
Regression Cluster
Flared
Loop
Most Data Has ALL These Shapes
6
The Answer is Topological Data Analysis
7
Continuous Improvement
Data
Actionable
Insights
Topological
SummariesAlgorithms
Machine Intelligence For Business
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
Modeling Institutional Risk
9
Correlation with Business Performance
High Low
10
Segmenting Customers
Returning Customers
High Low
Country 1
Country 5
Sequencing for Optimal Outcomes
11
Interfaces for Practitioners
12
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
TDA Demands Compute
14
Corporate Headquarters
4400 Bohannon Drive
Suite #200
Menlo Park, CA 94025
ayasdi.com
15
Questions?
lawrence@ayasdi.com

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