The document discusses the SAS analytics platform and how it helps enterprises maximize the value of their data. It describes key trends shaping IT like human-machine interaction, big data, cloud computing, and artificial intelligence. The SAS platform provides a unified environment for accessing, preparing, governing, deploying, discovering, reporting on, exploring, forecasting, predicting, and optimizing data across multiple cloud and on-premise environments using a variety of interfaces. It also discusses how the platform supports new data types and analytics for artificial intelligence using techniques like machine learning, deep learning, and natural language processing.

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The SAS PlatformEngineered to maximise impact from your data
Gianluca Menconi // Architecture, Modernization & Cloud Practice Manager
CWIN 2017 // Rome // 28 SEP 2017

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What’s shaping IT now?
Human/Machine Interaction

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digital channels
e-commerce
mobile apps
social networks

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A world with (a lot)
less human
interaction

5. BigData
Cloud
Computation
AI
“It’s the science of training computers
through data to perform tasks
that typically require human
intelligence to complete.” Machine Learning

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The Analytics
Economy

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How enterprises should approach
analytics (economy)?

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Trust in Analytics
Analytics Culture

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Enterprise platforms
Operational
Platform
S u p p l y
C h a i n
F i n a n c e
M R P
C R M H R
Productivity
Platform
Analytics
Platform

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What’s inside an Analytics Platform?
(the SAS platform)

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Data
Access
Cleanse
Prepare
Govern
Deployment
Govern
Embed
Monitor
Automate
Discovery
Report
Explore
Forecast
Predict
Optimize
Automate
The SAS Platform

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Multi Cloud // On premise
Data Access // Push Down
Data Engines // Analytics Engines
API
Micro Services
Visual Interfaces Programming Interfaces
Platform
Control &
Share
Data
Governance
Analytics
Governance
Analytics
Deploy
Govern Produce Run
The SAS Platform

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DiversityBroadens
ScaleMagnifies
TrustExtends

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MicroservicesCAS engine
Core Components
SAS Viya
Parallel&Serial,Pub/Sub,Web
Services,MQs.
Source-based
Engines
APIs
In-Stream
In-Cloud
In-Hadoop
In-Database
CPU
solutions
Customer
Intelligence
Analytics
Business
Visualization
Fraud &
Security
Risk
Management
Data
Management
It runs on: or BareOS

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Supports new data
types to see beyond

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Multiple & Open
APIs

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Programming
Visual
Applications
Solutions
Products and Solutions
APIs
Developers
Editions
Apps
API Ecosystem
Business User Data Scientist Developer IT Administrator

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The SAS Approach to AI
Machine Learning Natural Language Processing
Deep Learning Natural Language Understanding
Pattern Recognition ● Prediction ● Classification ● Image Recognition ● Speech to Text ●
Cognitive Search ● Natural Language Interaction ● Natural Language Generation

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Demo

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Programming Interfaces

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Copyright © SAS Institute Inc. All rights reserved.

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Copyright © SAS Institute Inc. All rights reserved.
Gianluca Menconi – Architecture, Modernization & Cloud Practice Manager, SAS
Grazie!
Gianluca:Menconi@sas.com