1. Codit
May 28, 2019
Didier Ongena
Microsoft Belux

2. Process-driven
Data-driven

15. The wheel
4.000 BC
Printing press
1439
Electric light
1802
Stream engine
1698
Telephone
1856
Automobile
1885
Internet
1980s
Cloud
2000s
AI
Today
People (Workforce)Land Capital
1. Evolving towards a data-driven economy
The Platform Revolution – Becoming a Data Centric Organization (from being process-centric)
Data

16. 2. Digital feedback loop
Explosion of Data Signals – Understanding the different categories of data
Data
Data +
intelligence
Optimize
operations
Transform
products
Engage
customers
Empower
employees
Business Data (facts)
Captured through core systems
2
Observational Data
Signals (e.g. IOT)
Perception Data
Require interpretation

17. 3. Create Share Data model with rich semantics
From siloed approach to a shared data model

18. MarketplaceTransactions SocialIoT AdvertisingMobile/Web
3. Create Share Data model with rich semantics
From siloed approach to a shared data model

19. Patients
Merchandise
Trade
promotion
Planograms
Device
data
Forecast
Equipment
maintenance
Accounts
Opportunities
Service
requests
Orders
Support
case
Shipments
Meetings
Documents
Calendar
Email
Tasks
Message
People
Storage
Relationships
Skills
Professional
contacts
Job History
Talent
+ Office 365+ LinkedIn + Partner SolutionsDynamics 365
4. Unified processes and Data
Leveragethepower of theMicrosoftGraph

20. Digital feedback loop
Case - Tesla
Tesla
Transform
products
Engage
customers
Social Media
Car stability complaints
2
IOT Sensors
Breaking Intensity
2

21. Digital feedback loop
Case - Microsoft
Sales Efficiency
CRM Data
2
Microsoft
Engage
customers
Empower
employees2
Communication / Collaboration
O365 / Linkedin data

22. AI-driven

23. 1. Defining AI
HolisticStrategy, PeopleFirst

24. 2. Acceleration in AI breakthroughs
B2B focus, fromResearchtoProductDevelopment

25. 2. Acceleration in AI breakthroughs
AI thoughtsarenotnew

26. 3. Everything comes together
$5B Investment, 5000 Engineersdedicated

27. 3. Everything comes together
Comprehensivein our approach

28. 4. Status in Belgium
The majority of companies consider AI to be important – but rarely the most important
Not important
AI is not formalised
as a digital priority
Important
AI is one of many
digital priorities
Most important
AI is the most important
digital priority
1 3 542
5% 9%
38% 44%
0% 7%
52%
5% 12%
28%
15 European
Markets
Belgium and
Luxembourg

29. 4. Status in Belgium - AI Maturity Curve
We asked companies to self-report their current AI maturity level
15 European
Markets
Belgium and
Luxembourg

30. Data-centric Platform
Re-engineered Platform / Data-driven acquisitions
Big
Computing
Leadership
TrustCapabilities
Data
Powerful
Algos
• Linkedin Study
• AI-School
• AI-Business School
• EY Study
• Linkedin Study
• AI-School
• AI-Business School
• Aether Committee
• AI Ethics whitepaper
• Cyber-Geneva

32. Our view of the Future
One often over-estimates the impact of innovation
on the ST...
But ALWAYS under-estimates the impact on the LT

33. Investment Philosophy

34. Beyond the Cloud