The two-page document covers a wide range of topics, beginning with contact information for Eduardo Kassner and then moving to discuss industry trends in areas like IoT, data

1. Eduardo Kassner
C h i e f T e c h n o l o g y & I n n o v a t i o n O f f i c e r
O n e C o m m e r c i a l P a r t n e r
M i c r o s o f t C o r p o r a t i o n
I t w i l l b e m y p l e a s u r e t o c o n n e c t w i t h y o u ,
e d u a r d o k @ m i c r o s o f t . c o m
t w i t t e r . c o m / e k a s s n e r
w w w . l i n k e d i n . c o m / i n / e k a s s n e r

3. Industry
Trends

4. IoT
Source: Keystone Strategy, 2016
$100M average increase in operating
income among the most digitally
transformed enterprises
73% of companies survey are actively
investing in IoT
Data Growth
Source: link
Less than 1% is analyzed
$200 billion global
market by 2020
Less than 20% is secured
Huge amounts
of Data
Cloud shift will affect more than
$1 trillion in IT spending by 2020
60% computing in the
public cloud by 2025
4.4
50
163
2013 2020 2025
1 Zettabyte =
1 Billion Terabytes
1.3 Zettabyte: Estimated to be
all Internet traffic in 2016
Huge Opportunity to secure & learn
Cyber Threats
63% of confirmed data breaches involve
weak, default, or stolen passwords
>80% of employees admit using non-
approved SaaS apps for work purposes
32% of businesses reported to be affected
by cybercrimes
2 Billion records compromised in the
last year
99+ DAYS between infiltration and
detection
$17 MILLION of cost/business impact
per breach
Cybercrimes
Data Breaches
Shadow IT
Access to Technology
Source: http://www.gartner.com/newsroom/id/3142917
1 million/hour new devices coming
online by 2020
Source: World Economic Forum
Drones
3D
Printing
Industrial
Robots
DNA
Sequencing
Solar
2000 – $2.7 BN
2007 - $10 M
2017 - $50
2007 – $100K
2013 - $700
2007 – $40K
2014 - $100
2007 – $550K
2014 - $20
1984 – $30
2014 - $0.16
Cost per kWh

5. 4.4
50
163
2013 2020 2025
1 Zettabyte = 1 Billion Terabytes
1.3 Zettabyte: Estimated to be all Internet traffic in 2016
Data Growth
Smart City
250 PB per day
Connected Factory
1 PB per day
Autonomous Vehicle
5 TB per day
Smart Office
150 GB per day
68
Smart Home
50 GB per day
Smart Devices
20B IoT devices
Stadium
200 TB per game
People
1.5 GB per day

6. It’s our recognition that if you go to
bed as an industrial company, you
will wake up as a software company.
Jeffrey Immelt, CEO, GE
Silicon Valley is coming. We are going
to work hard to make our services as
seamless and competitive as theirs.
Jamie Dimon, JP Morgan CEO
BDMS ARE BECOMING
THE REAL BUYERS OF
DIGITAL
45%
55%
Business
Decision
Makers
IT
Decision
Makers
2018 IT Spend
Nearly half of all IT spend will be
controlled by BDMs by 2018
Source: IDC Futurescape,
“Worldwide IT Industry 2016
Predictions”
FOCUS
By Year-End 2017, Over 70% of the G500
Will Have Dedicated Digital Transformation
and Innovation Teams 1
BENEFIT
“Businesses that use AI, big data and IoT
technologies to uncover new business insights
“will steal $1.2 trillion per annum from their
less informed peers by 2020” 2
PUBLIC CLOUD GROWTH
By 2019, 3rd Platform Technologies
(cloud, mobile, social, and big data
technologies) and Services Will Drive Nearly
75% of IT Spending — Growing at Twice the
Rate of the Total IT Market 1
INVESTMENT
By 2020, 50% of the G2000 Will See the
Majority of Their Business Depend on Their
Ability to Create Digitally Enhanced Products,
Services, and Experiences1
(1) IDC FutureScape: Worldwide IT Industry 2017 Predictions (2) IDC: Worldwide IT industry FutureScape, Nov.

7. The Opportunity

8. Blockchain
Trend:

9. Blockchain
Financial
Trading
Deal origination
POs for new securities
Derivatives trading
Total Return Swaps (TRS)
2nd
generation derivatives
Collateral management
Settlements
Payments
Transferring of value
Crowd Funding
Peer-to-peer lending
Trade reporting & risk visualizations
Betting & prediction markets
Insurance
Claim filings
MBS/Property payments
Claims processing & admin
Fraud prediction
Telematics & ratings
Medical
Records sharing
Prescription sharing
Compliance
Personalized medicine
DNA sequencing
Media
Digital rights mgmt
Game monetization
Art authentication
Purchase & usage monitoring
Ticket purchases
Fan tracking
Ad click fraud reduction
Resell of authentic assets
Real time auction & ad placements
Computer Science
Micronization of work (pay for
algorithms, tweets, ad clicks, etc.)
Expanse of marketplace
Disbursement of work
Direct to developer payments
API platform plays
Notarization & certification
P2P storage & compute sharing
DNS
Asset Titles
Diamonds
Designer brands
Car leasing & sales
Home Mortgages & payments
Land title ownership
Digital asset records
Identity
Personal
Objects
Families of objects
Digital assets
Multifactor Auth
Refugee tracking
Education & badging
Purchase & review tracking
Employer & Employee reviews
Government
Voting
Vehicle registration
WIC, Vet, SS, benefits, distribution
Licensing & identification
Copyrights
Supply Chain
Dynamic ag commodities pricing
Real time auction for supply delivery
Pharmaceutical tracking & purity
Agricultural food authentication
Shipping & logistics management
IoT
Device to Device payments
Device directories
Operations (e.g. water flow)
Grid monitoring
Smart home & office management
Cross-company maintenance markets
Payments
Micropayments (apps, 402)
B2B international remittance
Tax filing & collection
Rethinking wallets & banks
Consumer
Digital rewards
Uber, AirBNB, Apple Pay
P2P selling, craigslist
Cross company, brand, loyalty tracking

10. Big Data (Databricks)
Trend:

11. Business problems that are ripe for Databricks prototyping
Health & Life Sciences
SOCIAL ANALYTICS
• Real-time patient feedback via topic modelling
• Analytics across publication data
IoT DEVICE ANALYTICS
• Aggregation of streaming events
• Predictive Maintenance
• Anomaly Detection
GPU IMAGE PROCESSING
• Graphic Intensive workloads
• Deep learning using Tensor Flow
• Pattern recognition
CLINICAL & CLAIMS DATA
• Claims Data Warehouse
• Readmission Predictions
• Efficacy and Comparative analytics
• Prescription Adherence
• Market Access Analysis
GENOMICS & PRECISION MEDICINE
• Single Cell Sequencing
• Biomarker, Genetic, Variant & Population Analytics
• ADAM & HAIL on Databricks
Financial Services
MARKETING ANALYTICS
• Recommendation Engine
• Predictive Analytics and Targeted Advertising
• Fast Marketing and Multi-channel
engagement
• Customer Sentiment Analysis
CREDIT ANALYTICS
• Enterprise DataHub
• Regulatory and Compliance Analysis
• Credit Risk Management
• Automated Credit Analytics
RISK AND FRAUD, THREAT DETECTION
• Real-time anomaly detection
• Card Monitoring and Fraud Detection
• Security Threat Identification
• Risk Aggregation
FINANCIAL MODELING
• Commercial/Retail Banking, Securities, Trading
& Investment models
• Decision Science, Simulations and Forecasting
• Investment recommendations
CUSTOMER ANALYTICS
• Customer 360
• Customer Segmentation
• Reduce Customer Churn
• Underwriting, Servicing
• and Delinquency Handling
• Insights for new Products
Security
CYBER SECURITY & PREDICTIVE ANALYTICS
• Prevention of DDoS attacks
• Threat Classifications
• Data Loss/anomaly detection in Streaming
• Cybermetrics and changing use patterns
FINE-GRAINED DATA ANALYTICS SECURITY
• Role-based access controls
• Auditing and Governance
• File Integrity Monitoring
• Row level and Column level Access
permissions
SECURITY COMPLIANCE REPORTING
• Ad-hoc/Historic incident reports
• SOC/NOC dashboards
• Deep OS Auditing
• Data Loss Detection in IoT
• User behavior Analytics
FRAUD DETECTION AND PREVENTION
• e-Tailing
• Inventory monitoring
• Social media monitoring
• Phishing scams
• Piracy protection
SECURITY INTELLIGENCE
• Real-time data correlation
• Anomaly detection
• Security context, enrichment
• Offence scoring, prioritization
• Security Orchestration

12. AI
Trend:

16. Design AI Responsibly
Fairness Reliability
& Safety
Privacy &
Security
Inclusiveness Transparency Accountability
Bias Evolve Good use Accessibility
Consent &
Explanation
Responsibility
Partnership on AI
Set of companies Tech Industry and outside that has
come together to formulate best practices and
principles around the engagement and influence of
AI on people and society
Defining the principles to AI
• How to design AI Systems Responsibly?
• What principles do we need to protect people?
• How do we Govern AI’s use?
• Impact of AI on Economies and Jobs?
Progress to date:
Internally established Aether board
Industry: Partnership on AI, OpenAI, AI Now
Institute.
news.microsoft.com/futurecomputed
Drive
To Avoid

17. Why is Microsoft
different

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19. >90%
of Fortune 500 use
the Microsoft Cloud

20. Applications
Infrastructure
Management
Databases &
middleware
App frameworks
& tools
DevOps

21. USGovGlobalRegionalIndustry
 ISO 27001:2013
 ISO 27017:2015
 ISO 27018:2014
 ISO 22301:2012
 ISO 9001:2015
 ISO 20000-1:2011
 SOC 1 Type 2
 SOC 2 Type 2
 SOC 3
 CSA STAR Certification
 CSA STAR Attestation
 CSA STAR Self-Assessment
 WCAG 2.0
 FedRAMP High
 FedRAMP Moderate
 EAR
 DoD DISA SRG Level 5
 DoD DISA SRG Level 4
 DoD DISA SRG Level 2
 DFARS
 DoE 10 CFR Part 810
 NIST SP 800-171
 NIST CSF
 Section 508 VPATs
 PCI DSS Level 1
 GLBA
 FFIEC
 Shared Assessments
 FISC (Japan)
 FCA (UK)
 MAS + ABS (Singapore)
 23 NYCRR 500
 HIPAA BAA
 HITRUST
 21 CFR Part 11 (GxP)
 MARS-E
 NHS IG Toolkit (UK)
 NEN 7510:2011 (Netherlands)
 FERPA
 CDSA
 MPAA
 FACT (UK)
 DPP (UK)
 SOX
 Argentina PDPA
 Australia CCSL / IRAP
 Canada Privacy Laws
 China GB 18030:2005
 China DJCP (MLPS) Level 3
 Germany C5
 India MeitY
 Japan CS Mark Gold
 Japan My Number Act
 Netherlands BIR 2012
 New Zealand Gov CIO Fwk
 Singapore MTCS Level 3
 Spain ENS
 Spain DPA
 UK Cyber Essentials Plus
 UK G-Cloud
 UK PASF
 FIPS 140-2
 ITAR
 CJIS
 IRS 1075
Azure covers 71 compliance offerings… more than any cloud provider
Deepest and most comprehensive compliance coverage in the industry
 China TRUCS / CCCPPF
 EN 301 549
 EU ENISA IAF
 EU Model Clauses
 EU – US Privacy Shield
 Germany IT-Grundschutz workbook
https://aka.ms/AzureCompliance

22. Lets Envision
Success

23. Please help me take this order

27. Media Backup and Archival for a Large Movie Studio
Need
Post-production / visual effects processing for
a major upcoming movie was halted due to
inaccessibility of production media content
Technical Solution:
Individual Studios encrypt and backup media content
to low-cost Azure Blob Storage. They use a mixture of
hardware, OS and software platform - MacOS, Linux,
Windows, Synology NAS, Aspera Servers
Connectivity to Azure is vital from across world-wide
shooting locations, often with low-connectivity speeds
Production Media from various shooting locations
were constantly backed up to Azure Blob Storage
using Synology NAS Cloud Backup.
Customer wanted to recovery large data volumes
(~25TBs of Data) from Azure Backup.
Benefit:
The media was recovered in 1.5 hours and movie
production resumed
Studio/ Show 1
Microsoft
Azure
Azure
West US
Studio/ Show 2
Studio/ Show 3
Backup Extraction
Azure
Blob
Backup Extraction
Azure
Blob
Azure
Blob
Backup Extraction
Azure
Blob
Azure
Blob
Azure
Blob
(Cool)
Azure
Blob

28. Home Banking for credit card and loan provider
European Bank
Need
A Credit card management and loan issuing company needed to modernize
their Home Banking portal and application, so they decided to move it to
the cloud.
Solution
The solution for migrating to Azure had to initially consider all the legacy
systems in use, feasibility of said migration and inherent impacts and risks to
service availability. This was therefore a top priority in which migration, code
refactoring and compatibilities where analyzed and when applicable quantified
in terms of effort for project planning and implementation.
The final architecture and project included the upgrade of various legacy
systems such as HIS from 2003 version to 2012, the inclusion of Highly Available
Barracuda WAF's (for enhanced security) and application and data layers with an
ExpressRoute circuit for communication with backend.

29. Container Orchestrator on Azure for Core Banking Platform
Cloud Integration in the German Financial Services Industry
Need
A large German bank recognized that more flexibility was needed for
defining their infrastructure as code and deploying their dev and test
containerized environments of their Core Banking Platform on-demand in
the cloud. Jenkins CI/CD Pipelines were the ideal integration point for Azure
infrastructure as code, and significantly increased the flexibility and
efficiency of the dev/test architecture.
Business Impact
Faster delivery times. The development team can more flexibly deploy
and test their web and backend core banking platform without waiting for
limited on-premise hardware to be available.
Cheaper and more efficient. Because dev and test environments can be
easily deleted when they are no longer needed (in contrast to on-premise
hardware), the team is making their development and test environments
more efficient and economical, and helping drive cost savings at the
bank.
Ease of future expansion. The solution can be further expanded for
production environments, and grow with the development, test and
deployment needs of the team.

30. Private Banker Assistant Bot
Problem
Private banking to VIPs is a very valuable business. Time spend by private
bankers on email requests from VIPs is expensive. Validation of email request
is needed.
Solution
Use private banker bot to intercept mails to private banker. Bot can execute on
low value transactions and inform private banker. Bot can setup high value
transactions and only execute on approval from private banker. Multifactor
Auth is used to validated mail from VIP.
Value
Quicker response for high value customers (VIP) at lower cost
Notes
Bot is invisible to customers it is there to assist private banker. Various service
are looked at like enquiries, invites to events, responses, banking
transactions etc.
Private Banker Assistant
VIP interaction Understanding Routing Personal BankerFunction
Customer request
email
Understand
customer intent
(balance, transfer,
new service
Unique request
Mail gets
forwarded to
Personal Banker
Balance enquiry
Response email to
VIP
Inform Personal
Banker
New Service
Information
New Service
Activation
Transfer funds
Personal Banker
Authorize
VIP verifies
request
Logic App
Multi-Factor
Authentication
Office 365
Office 365
Office 365
LUIS
Execute
Transaction
Execute
Transaction
Prepare
Transaction
Logic App
Logic App
Execute
Transaction Logic App
Web App
Linguistics API
New queryAudit Info

31. Analytics for calls of Contact Centers company with 90K+ Customer
Agents
Need
extract full text from low quality audios
generated by IVR
Solution Offering:
Audio files are compressed in a proprietary
format and uploaded onto Azure. Once in
Azure, we have built an open architecture to
process this audio (merge different audios
together). Transcribed the call, send data to a
data lake and the analysis and predictions.
Queue controlling this process to automate as
much as possible.
Benefits:
Other vendors have similar solutions but:
- They use a small subset of the calls. We do
all
- Detect an agent who is not cordial enough,
or is not following a script. …and so on .
The insights help on boot creation, agent
ranking and training among others.

32. Lost Package Finding Systems based on Cognitive Services
Need
Everyday this company transports ~13M
packages. Of those, approximately 3,000
don’t make it to their destination for
various reasons such as bad labels,
packaging or damage. The team in
charge of lost packages can recover 45%
but they wanted more.
Technical Solution :
use Cognitive APIs such as Vision to
search from pictures of the “lost” items as
well as improve upon the matches via
advanced text analysis segmenting the
problem by attribute Azure
Search
DocumentDB
Vision API
Color
Model
Storage blob
App Service
User
Phone
website
(generic)
User
Vision API
Texture
Model
Text API
Entity
Extraction
Custom API
Word2Vec
Custyom API
Future 1
Microsoft
Azure
Enhanced Info Posted
Cognitive Services APIs
Azure ML Workbench
Models
Search Example:
Color (Black)
& Texture (Smooth)
& Category (Electronics)
-> It might be a cell phone

33. Designed to Disrupt eBook by MS Press
htttp://aka.ms/designedtodisrupt
Designed to Disrupt: Reimagine Your Apps and Transform
Your Industry, to help you:
• Use cloud technology to give your company a competitive edge by
accessing new markets, enhancing your customers’ e perience, and
increasing operational efficiency.
• Learn from companies who have successfully used innovative
technologies—such as cognitive services, Internet of Things (IoT)
and bots—to grow their businesses.
• Create a digital journey roadmap, with envisioning sessions to
reimagine your company’s goals and practical tools to bring your
visions to life.

34. ?

35. Cloud Migration &
Operational Best
Practices

36. Azure Expert MSP
Migrations (esp. App and DC migration
competency)
Cloud architecture – Scalable, fail-over
etc.
App re-platforming
Business health assessment
Among other capabilities to be determined in this
process
Multi-layer subscription management
App assessment and optimization
Automated ticketing and support
(ITSM)
DR strategy for NOC/SOC
Change management et.), Among other capabilities
to be determined in this process
Managed billing
PaaS expertise, automated
provisioning and decommissioning of
environments
Audit management
And succession planning for people (IAM, security,
stability)
Enhanced cloud SLAs
Cloud assessments
Security by design
Cloud native app development
Expectation that partners have the DevOps, SecOps and SysOps capabilities across all to offer Managed
Services
A well configured, secure, reliant, and best performing application or infrastructure
Migrations (esp. App and DC migration competency)
Cloud architecture – Scalable, fail-over
etc.
App re-platforming
Business health assessment
Among other capabilities to be determined in this process
Multi-layer subscription management
App assessment and optimization
Automated ticketing and support
(ITSM)
DR strategy for NOC/SOC
Change management et.), Among other capabilities to be
determined in this process
Managed billing
PaaS expertise, automated provisioning
and decommissioning of environments
Audit management
And succession planning for people (IAM, security,
stability)
Enhanced cloud SLAs
Cloud assessments
Security by design
Cloud native app development
Expectation that partners have the DevOps, SecOps and SysOps capabilities across all to offer Managed Services
A well configured, secure, reliant, and best performing application or infrastructure

37. Cloud Migration
(Simple, Complex,
Packaged, Innovation)
Application
Catalogue
SaaS - Contract
PaaS – Re architect
IaaS - Migrate
Secure - Comply
Automate - Resilience
Operate - Optimize
Debt - Sprawl
Optimization
Migration Testing
Migration - Roadmap
Operation Playbooks
Cost Optimization
Center of Excellence
Compliance Playbooks
Security Playbooks
Workshops (Apps, Security, Migration)
Business Case – Metrics - Objectives
Requirements (Data, Sec, Compliance, Ops)
Define Tools - Approach – App & Data Discovery
CLOUD APPROACH (Start with 3-5 apps)
Subscription Setup (IAM, Security, Network, Data)
Ops Setup (Monitoring, Automation, Cost Mgmt, Support)
Org Change Mgmt – Skills Enablement Plan
• SOC 1 Type 2 (SSAE 16) attestation
report
• SOC 2 Type 2 (AT 101) attestation report
• SOC 3 report
• ISO/IEC 27001:2013 detailed audit report
• ISO/IEC 27001:2013 Statement of
Applicability (SoA)
• PCI DSS 3.1 Report on Compliance (RoC)
• FedRAMP System Security Plan
• UK G-Cloud Risk Management Accredit.
Document Set (RMADS)
• FISC Reference/EULA
• Platform Penetration Test
• Risk Management SOP
• Microsoft Information Security Policy
• Cloud Security Alliance CCM v3.0.1
• 21 CFR Part 11 FDA (GxP) qualification
guidelines
• Content Delivery and Security
Association certification
• Many more at aka.ms/azurebom
MICROSOFT TRUST CENTER
Sample Compliance Bill of Materials
CLOUD TOOLING
*not intended as an endorsement or as a complete list
MS Azure Portal
Azure Policy
Cost Management
Azure Monitor
Backup
Site Recovery
Azure Migration
Network Watcher
Cloud Shell
Azure Service health
Azure Advisor
Application Insights
Log Analytics
Scheduler
Security Center
Azure Managed Apps
OMS

38. Cloud Operations P95 CPU utilizationBENEFITS OF CLOUD
Automation
Insight
Optimization
Agility & Innovation
0
20
40
60
80
100
12:00
AM
2:00
AM
4:00
AM
6:00
AM
8:00
AM
10:00
AM
12:00
PM
2:00
PM
4:00
PM
6:00
PM
8:00
PM
10:00
PM
CPU Utilization
CLOUD SERVICE MANAGEMENT MANIFESTO
✓ Business Service Management Focus
✓ Azure Technical Expertise, IaaS, PaaS, and SaaS
Experience
✓ Cloud Lifecycle Tooling
✓ Assessment and Design Practice (Center of Excellence)
✓ Build and Migration Practice (Center of Excellence)
✓ Cloud Operations and Service Management
✓ Security and Governance Practice (Center of
Excellence)
✓ Cloud SLAs, Customer Satisfaction, and Cost
Optimization
✓ Continual Improvement and Process Optimization
✓ Telemetry Usage and Adherence
IT vs CLOUD PROVIDER
DevOps
Teams
Global
Support
Security &
Compliance
Service
Management
Microsoft
Azure
• Envisioning & Automation
• Customer Satisfaction
• Billing & show back
• Cost & Perf Optimization
• Incident & problem management
• SLA Management
• Continuous Improvement
• Security, IAM, Data
• Migration Services
• Data Lifecycle
Infrastructure
• Subscription &
Governance
• Telemetry, Monitoring
• Networking Connectivity
IaaS PaaS
Services
IT
12% Pause
savings
82% Total savings
70% Resize savings

39. Providing experiences for customers where they want it
Data Governance
Balanced DecentralizedFederatedSelectiveCentralized
Data Data Management Reporting & Analytics
Decisions
and
activities are
jointly
shared
between IT
and the
business
Business
users
operate with
autonomy
The business
exerts contr
ol over
decision
making and
activities,
with limited
input
from IT
Selective
decisions
and
activities are
owned by
the business
Single point
of control
and decision
making;
limited input
from outside
IT
Information Risk Management Council
Security Governance
Risk
Management
Policy &
Procedures
Metrics &
Reporting
Training &
Awareness
Operations
Leadership/Roles
& Responsibilities
Executive Sponsors
Extended Team
Core Team
OS &
Devices
Legal
• Regulatory
• Privacy
Finance
• Compliance
• Internal
Audit

40. Results of a Multi Year
• Faster and better decisions on adoption
• Azure service providers anticipate cloud
needs
• IT readily has the knowledge required for
adoption
• IT readily has mitigation plans for
inhibitors
• IT is the reference customer for
Microsoft cloud services
• IT actively adjusts efforts based on
progress
ACCELERATE
SIMPLIFY
SHOWCASE
MIGRATION FACTORY APPROACH - MULTI YEAR
CIO Progress Dashboard
Application Consolidation Dashboard
REPORT ON SUCCESS AND BENEFITS

41. Enterprise Cloud Strategy eBook by MS Press
http://aka.ms/enterprisecloudstrategybook or http://tinyurl.com/
Lead the journey to the cloud and drive innovation! Discover
what makes the cloud so compelling to enterprises; with
which applications you should start your cloud journey; how
your organization will change, and how skill sets will evolve;
how to measure progress; how to think about security,
compliance, and business buy-in; and how to exploit the
ever-growing feature set that the cloud offers to gain
strategic and competitive advantage.

42. THANK YOU.
I t w i l l b e m y p l e a s u r e t o c o n n e c t w i t h y o u ,
e d u a r d o k @ m i c r o s o f t . c o m
t w i t t e r . c o m / e k a s s n e r
w w w . l i n k e d i n . c o m / i n / e k a s s n e r

45. Inspiration Purchasing
Experience
Departure
Experience
In-Flight
Experience
ReflectionArrival
Experience
Reimagining the customer experience
Anywhere Anywhere Lobby
Lounge
Gate
Airplane Destination
Flight Operations Ground Operations Airport Operations
Gate
Arrivals
Ground

46. MS Airlines architecture

48. Citizen experience journey map
Digital Hotspots
• Sensor Networks and City Dashboards
• Open Data Portals
• Intelligent Parking Systems
• Intelligent Building Systems
• Smart Street Lighting
• Social Listening and Sentiment Analysis
Systems
• Integrated CRM Based Services
• Student Information Systems and
Student Analytics
• Population Health Mgmt Solutions
• Augmented Reality Solutions
Using city services Using city buildings Participating in city life

49. Consolidation of a Data Warehouse to run multiple analysis and
ML experiments concurrently
Need
Data Scientist Team needed the agility to use different
tools & versions, to reduce resource contention between
teams and even with other stakeholders, as well as to
easily present results to business.
They where currently replicating very large data to
different data estates in order to run analysis and
experiments, as each wanted to interface to the data with
different tools and APIs. This generated a LOT of waste.
Solution
Azure Data Warehouse proved both, faster and cheaper
centralization of data than Hive and other similar
approaches. Creative approaches like Cosmos DB +
Search opened the door for non traditional data
exploration.
Business Benefits
Large consolidation and reduction of the storage and
optimal utilization of resources.
On Premises
Data Lake
Data Factory
Raw Data Azure Data
Lake Store
Raw Data
Azure Data
Warehouse
Raw Data
Filtered, Classified
& Reshaped Data
HDInsight
Cooked Data
Segmentation
Cosmos DB
Samples
Azure
Search
Facets &
Exploration
HDInsight
Cooked Data
Tableau
BI
HDInsight
Cooked Data
Modelling
Azure SQL
Data
Scientists
Results Power BI
Dashboarding &
Result Presentation

50. Dynamically shipping routes change system
Blob
Storage
HD
Insight
Blob
Storage
Data
Lake
SQL
DW
Power
BI
Data Factory
Input Raw Data Extraction
Extracted
Data
Storage
Query
Layer
Output
• Shipment data
• Vessel schedules
• Key words
• News & Weather
from web Event
Hub
Stream
Analytics
Key words
Mobile
App
The current situation does not allow a customer to change the selected
route for a shipment, that has the potential to delay shipments due to
disruptions along the selected route.
The solution allows the company and its customers to change a
specific route based on disruptions along the current route. I.e.
change from sea shipping to land shipping, due to a weather, or
threat conditions (typhoon, terror attacks, etc) along the route.