This is a quick overview slides that will give readers an understanding about Microsoft's offering in the Data and Artificial Intelligence space. For any questions, feel free to schedule a meeting or drop me a line.

1. 1
Tareq Mandou
Data & AI Specialist
Building a Data-driven culture

3. Digital
transformation

4. Enabling digital transformation

6. Action
Value
Data Maturity Model

8. Transform data into actionable insights
Data
Sources
Apps
Sensors
&
Devices
People
Data Intelligence
Cortana Intelligence
Actions
Apps
Automated
systems

9. Actions
People
Automated
Systems
Apps
Web
Mobile
Bots
Intelligence
Dashboards &
Visualizations
Cortana
Bot
Framework
Cognitive
Services
Power BI
Information
Management
Event Hubs
Data Catalog
Data Factory
Machine Learning
and Analytics
HDInsight
(Hadoop and
Spark)
Stream Analytics
Intelligence
Data Lake
Analytics
Machine
Learning
Big Data Stores
Data
Sources
Apps
Sensors
and
devices
Data
SQL Data
Warehouse
Data Lake Store
Data Lake
Microsoft’s Data & AI offering

10. End-to-end mobile BI
on any device
Choice of platform
and language
Most secure
over the last 7 years
0
20
40
60
80
100
120
140
160
180
200
1 2 3 4 5 6
Vulnerabilities(2010-2016)
A fraction of the cost
Self-serviceBIperuser
Only commercial DB
with AI built-in
Microsoft Tableau Oracle
$120
$480
$2,230
Industry-leading
performance
1/10
Most consistent data platform
#1 OLTP performance
#1 DW performance
#1 price/performance
T-SQL
Java
C/C++
C#/VB.NET
PHP
Node.js
Python
Ruby
R
R and Python +
in-memory at massive scale
Native T-SQL scoring
S Q L S E R V E R 2 0 1 7
I N D U S T R Y - L E A D I N G P E R F O R M A N C E A N D S E C U R I T Y N O W O N L I N U X A N D D O C K E R
Private cloud Public cloud
In-memory across all workloads
1/10th the cost of Oracle

11. L E A D E R I N
O P E R A T I O N A L D A T A B A S E M A N A G E M E N T S Y S T E M S
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