Digital transformation is the topic of the day and it’s here to stay…it’s a phenomenon that is actively fueling both the success and the failure of every organization. Industry after industry is being transformed as we speak and this is perhaps more so than ever in our history where technology is not just adding capability but it’s changing business models. Almost every company is grappling with how to embrace new trends such as Big Data driving the digitization of “things” and advances in data analytics and intelligence, cloud computing placing limitless computing and storage power into the hands of organizations of all sizes, and of course the explosion and ubiquity of mobile computing. Topic was presented at a joint event of Munich Datageeks and Women in Big Data Munich https://munich-datageeks.de/ https://www.womeninbigdata.org/ For more content like this, visit IT Knowledge Bank website: https://www.itknowledgebank.com/ Video You can watch the recording of the presentation in our YouTube channel: https://youtu.be/TX8y8mVOsyw About Olga Roj Olga Roj has joined Microsoft 7 years ago after completing her MBA at INSEAD Business School, and from the beginning has worked with Microsoft’s Azure Cloud Platform, first as the Azure Open Source Product Marketing Manager, and then as the Azure Go to Market Partner Lead, covering multiple countries in the EMEA region. She has experienced firsthand the explosive growth of Cloud Computing, and how partnering with Microsoft and embracing Cloud Computing has helped many organizations, big and small, truly transform their businesses and grow beyond expectations. She is excited about all the amazing opportunities that Cloud Computing presents for every single business on the planet.

2. 91%
of business leaders see Digital Transformation as a
way of sparking innovation and finding efficiencies
68%
say Digital Transformation is increasing profits
85%
say they must offer digital services or
become irrelevant
64%
say they have less than 4 years to
complete a Digital Transformation
or they may go out of business
transformationDigital
Sources for statistics in speaker notes

3. Applications and Data have shifted to the cloud
Past
Long application cycles
Monolithic apps
Servers and VMs
Less data – structured data
Desktop
Distinct infrastructure and operations teams
Today
AI driven rapid innovation
Loosely-coupled apps, IOT, Bots, microservices, and containers
Serverless, Massively Parallel Processing (MPP)
Big Data – Unstructured, semi-structured and structured
Mobile
Service-focused DevOps teams
CaaS
Container Platform
On-Premises
Infrastructure Platform
PaaS
Application Platform
FaaS
Serverless Platform
IaaS
Infrastructure Platform

5. Estonia Uses Cloud to Reinforce
Critical E-government Functions
Did you know?
- Estonia is probably the only country in
the world where 99% of the public
services are available online 24/7.
- More digital signatures have been
used in Estonia than in the rest of the
European Union altogether?
- Estonia uses blockchain technology to
ensure healthcare data security?
- You can establish a company in
Estonia just in 3 hours?
- Twice as many students pursue IT
careers than on avg in OECD countries?

6. Constellation of unprecedented forces

7. Machines showing capabilities that are
typically associated with human intelligence
Wikipedia
Perception
Interpret meaning of data
including text, voice, images
Cognition
Form conclusions
with imperfect data
Learning
Learn over time without
direct intervention

8. 1PWC, 2017
3Ignite, 2016
of executives across the
globe expect AI to have a
positive impact on growth290%
Satya Nadella
We want to pursue
democratizing AI
just like we pursued
information at your
fingertips.3
potential contribution to
the global economy by
2030 from AI1$15.7T
boost in global GDP as a
result of AI by 2030114%UP
TO
2Economist Intelligence Unit, 2018

9. 1 Source: Gartner, 2019.
2 Source: Gartner, 2019.
3 Source: Gartner, 2018.
91%
of Enterprises will be
using AI in 3 years1
37%
Have started or are
planning to start their AI
initiatives in the near
term2
Base: Answered Artificial Intelligence (AI) section; n = 890
Q43. What are the top three challenges to the adoption of AI within your organization?
ID: 355907 3
Value measurement 24%
Understanding what AI is 20%
Security/Privacy 37%
Risk/Liabilities 32%
79% Fear of the unknown
Strategy
definition 30%
Finding
Funding 24%
Finding use
cases 30%
63% Finding their starting point
Confusion over vendor offerings 20%Integration complexity 33%
48% Vendor strategy
Governance issues 20% Lack of staff skills 23%
40% Enterprise maturity
What’s holding organizations back when it comes to AI?

10. Microsoft AI

12. Instead of looking in the rearview mirror, with analytics people are
now able to predict the future. It’s really completely changed the
culture of our company”
JANE MORAN
CIO, Unilever
Transform
products
customers
Empower
employees
Optimize
operations
➢ Digitally rewiring supply
chain
➢ Artificial intelligence
planning
➢ Capitalizing on robotics
➢ Digitally connected
factories
➢ 8 digital twins across
Americas, Europe and Asia
➢ Streaming data from 15 of
its 300 plants, with plans
to connect 100 in 2020

13. Happiness
Meaningful
Innovation
Empowering
People
Responsible AI
“We are not pursuing AI to beat humans at games. We are pursuing AI so that we can empower every person and every
institution that people build with tools of AI, so that they can go on to solve the most pressing problems of our society and
our economy.” – Satya Nadella

14. MSR Beijing
MSR Cambridge
MSR Redmond MSR Montreal
MSR New EnglandMSR New York
Microsoft Research
Turning ideas into reality for 27 years
MSR India
MSR Shanghai
MSR Labs Researchers WW Patents PapersFields

15. MSR Beijing
MSR Cambridge
MSR Redmond MSR Montreal
MSR New EnglandMSR New York
Fueled by breakthrough research
96% on RESNET
vision test
94.9% on
Switchboard test
89.4% on Stanford
CoQA test
69.9% with MT
Research system
39.5 Teraflops with
Intel Stratix 10
MSR India
MSR Shanghai
Machine translation
human parity
Object detection
human parity
Switchboar
d
Switchbo
ard
cellular
Meeting
speech
IBM
Switchboard
Broadcast
speech
Speech recognition
human parity
Conversational Q&A
human parity
First FPGA deployed
in a datacenter

16. 35
Million
Bot Service
messages every day
.
Billions
of pages
indexed with
Bing machine
reading
1.3M
Developers
Using Azure
Cognitive Services
60
languages
supported by
PowerPoint
Translator
660M
users
using social
bot Xiaoice
155+
Million
Office 365 users
Speech
RecognitionVision TranslationReading
Speech
Synthesis
Language
Understanding

17. The most comprehensive pre-trained AI
Language
Vision
Speech
Decision
Web search
Bing Spell Check
Custom
Vision
Personalizer
Form Recognizer
Neural Text-to-Speech
Anomaly Detector
Content
Moderator
Content Moderator
Custom speech
Speech transcription
Text-to-Speech
Conversation
transcription capability
Face
Video
Indexer
Ink Recognizer
Computer
Vision Language
Understanding
QnA Maker
Text Analytics
Translator Text
Bing Web
Search
Bing Custom
Search
Bing
Video Search
Bing Image Search
Bing
Local Business
Search
Bing Visual Search
Bing Entity Search
Bing News
Search
Bing Autosuggest
Immersive Reader

18. Bring AI to every application
Build the next generation of smart
applications
Chatbot
Content creation
Predictive analytics
Recommendation engine

19. “Just like their relationship with
a barista, customers receive the
same care and personalized
recommendations when it
comes from our digital
platforms.”
Jon Francis, SVP Analytics and Market
Research

21. Bring AI to every process
Enable predictive
maintenance and minimize
production disruptions
Make relevant offers and
spot hidden risks
Forecast demand and
increase personalization
Identify infrastructure
maintenance needs
Individualize treatment
plans, improve early risk
assessment
Financial
Services
Retail Healthcare Manufacturing Government Education
Increase student
collaboration and
administrative efficiency

22. © Microsoft Corporation
General University Hospital in Prague (project Inner Eye)

23. Customer stories: Artificial Intelligence
Record-breaking
performance with
cloud-powered AI
Logistics:
Uklon, Ukraine
AI gives internet taxi startup
real competitive edge
• 18% more taxi bookings
• Reduces driver wait time by
15h a month
• Increased Net Promoter
Score Index
• More accurate real-time feed
of performance metrics
Case study (ENG) | Case study (UKR) | Assets
HR Services:
Grupa Pracuj, Poland
“Use of analytics and Machine Learning has directly boosted average
successful taxi bookings by 18% at peak times.” Daniel Vakhovskyi:
Chief Marketing Officer, Uklon

24. Customer stories: Artificial Intelligence
Case Study (ENG) | Case Study (RUS) | Assets
Retail: Sarafan
Technology, Russia
AI-powered fashion and
beauty recommendation
tool delights
• 8x faster image/video
processing
• Fast scaling and high-
speed server requests
• Capacity to test new
features at scale in Azure
test environment

25. $7 billion
Market value from
a start-up
to global ISV
($1B funding)
500%
Year-on-year
revenue growth
2,500+
Employees
worldwide
3,700+
Customers
worldwide
400,000
Developer
community

26. Happiness
Responsible AI

27. „ Ultimately the
question is not only
what computers can
do.
It’s what computers
should do.” *
* The Future Computed book

28. For customers
For business partners
Contoso
Imagine a seemingly
innocent project…ping
Center

29. Some examples of
potential concerns
End user
Partner

30. AI for GoodResponsible AI
Our
approach

31. In partnership with
Visitors250K
Countries182
Engagement670%
Avg Rating4.8/5.0
http://aka.ms/aibs

32. Thanks for joining us at
Datageeks and Women
in Big Data Meetup
Our AI raccoon has prepared some
content for you that you will hopefully
like.
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