Microsoft sees huge potential for artificial intelligence (AI) and views data as critical for powering AI. Some key points: 1) Data is growing exponentially from various digital sources and AI helps make sense of this data. AI gives machines human-like abilities such as understanding language. 2) Microsoft's approach to AI includes developing frameworks and models while also providing AI services on Azure. Their goal is to make AI accessible to developers and organizations. 3) Case studies show how AI is helping companies like Carnival Cruises optimize operations through predictive analytics, and how AI helps Uber and airlines improve customer experiences and business operations.

1. Data & AI
Data and Artificial Intelligence on Azure
Phil Harvey
Cloud Solution Architect for Data & AI
One Commercial Partner UK

2. Today…
Data is important
Microsoft’s approach to AI
Case studies

3. Data is important
For everyone

4. THEREISALOTOFDATA
CLOUD
MOBILE
INTERNET CONNECTED
DIGITAL
ANALOG
1985 1990 1995 2000 2005 2010 2015 2020
30 years
Why is this important?

5. DATAISIMPORTANT
Data gives us new
ways of knowing and
new things to know.
Data makes software
smarter through AI. It
is how machines know.

6. AIOPPORTUNITY
“$2.5tr Potential contribution to the global economy in Europe by 2030 from AI”
- PwC analysis
“Natural language processing among technology segment are expected to dominate
the market”
- Stratistics MRC
“According to ‘Research and Markets’, the global chat bot market is set to reach
$1.2B by 2025.”
~ CognitionX News letter.
$1.2tr Estimated additional revenue/shifting revenue driven by AI in three years
“40% boost in labour productivity in developed nations by 2035 through AI potential”
~ Accenture
“38% Boost in rates of profitability in developed nations by 2034 through AI potential.”
~ Accenture
It is a huge
opportunity
now!

7. Microsoft’s approach
Artificial Intelligence

10. LEADERSHIP • “Our goal is to democratise AI to
empower every person and every
organisation to achieve more.
• “The core currency of any business
going forward will be the ability to
convert their data into AI that drives
competitive advantage”
• “Every developer can be an AI
developer, and every company can
become an AI company”

11. DIGITALFEEDBACKLOOP

12. MICROSOFTAI

13. Popular frameworks
To build advanced deep learning solutions
TensorFlow KerasPytorch Onnx
Sophisticated pretrained models
To simplify solution development LanguageSpeech
…
SearchVision
Azure
Databricks
Machine Learning
VMs
Azure
Machine Learning
Productive services
To empower data science and development teams
Powerful infrastructure
To accelerate deep learning
On-premises Cloud Edge
Flexible deployment
To deploy and manage models on intelligent cloud and edge
MLONAZURE

14. ADVANCEMENTS
5.1%
Switchboard speech
recognition test
96%
RESNET vision test
152 layers
88.493%
SQuAD reading
comprehension test
69.9%
MT
research system
Object recognition
Human parity
2016
Machine reading
comprehension
Human parity
Jan 2018
Speech recognition
Human parity
2017
Machine translation
Human parity
March 2018
Microsoft AI

15. AIPRINCIPLES
http://microsoft.ai
Fairness Reliability &
Safety
Privacy &
Security
Transparency
Accountability
Download: http://aka.ms/futurecomputed

16. Case studies
Let’s have a look at AI in action

17. AIFORGOOD
Ethical AI

19. Customer Experience
Improved with AI

20. ENGAGEYOURCUSTOMERS
ENGAGE
throughout the path
to purchase
BRIDGE
physical and digital
experiences
PREDICT
what customers want
PROFIT
from optimized
engagement

21. ▪ 85,000 items with 5,000 new ones added each week
▪ Microsoft Azure SQL Database to store relational customer data.
▪ Azure Cosmos DB supporting numerous microservices with low latency.
▪ Machine learning models generate real-time recommendations
http://customers.microsoft.com/en-us/story/asos-retail-and-consumer-goods-azure
Hyper focused on customer experience.

22. CASESTUDY Uber is using driver selfies to enhance security,
powered by Microsoft Cognitive Services
Professional
Services
Employees:
6,700
Cognitive Services
Technologies Size Industry

24. AIRLINES
Deliver powerful
new experiences to
customers
Solve age old
customer issues
with data and AI
Lost Luggage
Staff collaboration
to share customer
service tips

25. Optimisation
Efficiency through AI

26. OPTIMISEOPERATIONS
MODERNISE
for a responsive
supply chain
STREAMLINE
business processes,
commerce and
supply chain
PREDICT
demand, optimize
supply and assets
PROTECT
business, customer
and employee data

27. CASESTUDY
• Customer need
Carnival cruise line struggled to accurately
predict water usage onboard ships, leading to
costly water storage or production.
• Impact
Advanced Analytics model optimizes onboard
water storage, saving $200k per ship annually
Historical and real-time data analysis enables
predictive maintenance
SAVING $5.2M WITH
INTELLIGENT WATER
UTILIZATION
Advanced Analytics and AI predict water usage
https://enterprise.microsoft.com/en-us/customer-
story/industries/hospitality-and-transportation/carnival-cruises-
testing-waters-machine-learning-cortana-intelligence-suite/

28. Challenge
• Help aviation customers
minimize the cost and
disruption of
maintenance activities
• Help customers better
manage fuel costs
Solution
• Use IoT technology
to collect, aggregate,
and analyze engine
and other data
• Provide dashboard for
insights from data
Benefits
• Improves the efficiency of
maintenance activities and fuel
usage for customers
• Delivers insights to the right
stakeholders at the right time
• Saves customers money and time
“We can use data and insight in new ways to refine our customers’ operations to
add more value to them and allow them to do more with less.”
— Nick Farrant, Senior Vice President, Rolls-Royce
Engine manufacturer delivers advanced
operational intelligence to airlines

30. Data & AI at the heart
Of digital transformation

31. DIGITALFEEDBACKLOOP

32. © Copyright Microsoft Corporation. All rights reserved.