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Copyr i g ht © 2016, SAS Ins t i tu t e Inc . A l l r ights reser ve d .
EMERGING TECH TRENDS AND ANALYTICS
OLIVER SCHABENBERGER
EVP & CHIEF TECHNOLOGY OFFICER
@OSCHABENBERGER
Copyr i g ht © 2016, SAS Ins t i tu t e Inc . A l l r ights reser ve d .
Open Source
Big Data
Data &
Analytics
Copyr i g ht © 2016, SAS Ins t i tu t e Inc . A l l r ights reser ve d .
OUR R&D JOURNEY
SAS®
High-Performance
Analytics
2010
SAS®
LASR
Analytic Server
2011
SAS®
Cloud Analytic
Services
20132009
SAS®
High-Performance
Risk
2016
In-memory
high-end analytics
SMP & MPP
Multi-user, in-memory
analytics w/ Hadoop
SMP & MPP
MPP, in-memory
risk calculations
and querying
Copyr i g ht © 2016, SAS Ins t i tu t e Inc . A l l r ights reser ve d .
Need to integrate technology
4
1Movement of data to cloud and edge
2Diversity in ways analytics are
consumed and approached
7Reduce technical debt
6Service-based architecture
5Extensibility, openness
3Simplicity in management,
deployment, monitoring, updates
FORCES THAT MOTIVATE SAS®
Viya™
Copyr i g ht © 2016, SAS Ins t i tu t e Inc . A l l r ights reser ve d .
SAS®
Viya™
• Analytical Lifecycle
• Governance
• Integrated
• Enabling
• Languages
• APIs and Services
Consumption Based
Private and Public
Elastic
Deploy, Provision, Use
Self Service
Innovative
Copyr i g ht © 2016, SAS Ins t i tu t e Inc . A l l r ights reser ve d .
SAS®
Viya™
…WITH SAS 9
&• It’s an AND strategy
• Each is designed to solve a different set of use cases
• Can co-exist on same hardware (physical or virtual)
• Incentives for existing customers
• Connective tissue bridges both platforms
Copyr i g ht © 2016, SAS Ins t i tu t e Inc . A l l r ights reser ve d .
SAS®
9
DataCode
BRIDGING SAS®
9 AND SAS®
VIYA™
DataModel
Code
1
2
3
• SAS®
9 data accessible within SAS®
Viya™
• SAS®
Viya™
models publishable to SAS®
9
• Remotely execute code from / to both3
2
1
Copyr i g ht © 2016, SAS Ins t i tu t e Inc . A l l r ights reser ve d .
2 SOFTWARE STREAMS: SAS®
9 AND SAS®
VIYA™
SAS Visual Data Mining and Machine
Learning 8.1
Data Management
SAS as an Open Platform
SAS Visual Investigator
Cyber Security
Event Stream Processing
Customer Intelligence 360
SAS 9.4M4
SAS Visual
Statistics
Event Stream Processing
SAS Visual
Analytics
Copyr i g ht © 2016, SAS Ins t i tu t e Inc . A l l r ights reser ve d .
FROM SOFTWARE TO SMARTWARE
type & run click & browse
point and click touch and swipe
Copyr i g ht © 2016, SAS Ins t i tu t e Inc . A l l r ights reser ve d .
MACHINE LEARNING PROCESSING
ARTIFICIALINTELLIGENCE
DEEP LEARNING
INFORMATIONCOMPUTATIONAL
PROGRAMMING
DATA
AUTOMATIC
DEEP
B R A I N
REALITY
DE
SIG
N
TE
CH
NO
LO
GY PERFORMANCE
ROBOTICS ALGORITHMS
CLASSIFICATION
ME
TH
OD
S
COMPUTATION
SCIENCE
QUALITYPROCESSING
INNOVATION
PY
TH
ON
PATTERN
MIN
ING
SOURCE PATTERN
RE
CO
GN
ITIO
N
MODELS
ANALYSIS
CLASSIFICATION
HIERARCHICAL
PREDICTIVETHEORYNEURAL
Copyr i g ht © 2016, SAS Ins t i tu t e Inc . A l l r ights reser ve d .
Copyr i g ht © 2016, SAS Ins t i tu t e Inc . A l l r ights reser ve d .
MACHINE LEARNING
Data-driven
Non-algorithmic
Techniques
Learning based
on deep neural
networks
“Data does the
programming"
Data-driven
Algorithmic
techniques
Data trains
algorithm
Training is the
process of
shaping
Know ledge Augmenta t ion
Copyr i g ht © 2016, SAS Ins t i tu t e Inc . A l l r ights reser ve d .
MACHINE LEARNING APPLICATIONS
1
Speech Recognition
3
Diagnostic of Mental Disorders
2
Natural Language Processing
4
Radiology Medical Imaging
Copyr i g ht © 2016, SAS Ins t i tu t e Inc . A l l r ights reser ve d .
f o r w a r d
Copyr i g ht © 2016, SAS Ins t i tu t e Inc . A l l r ights reser ve d .
@OSCHABENBERGER
LINKEDIN.COM/IN/OSCHABENBERGER
STAY IN TOUCH