1. Artificial Intelligence (AI)
Gerald Nthebolan
Head of Information Management

2. Tremendous advantages accrues to those who can predict the future

3. Agenda The Evolution of AI – Where are we now .. Use Cases
Impact on Organisations and you

4. Most AI Technologies are reaching Maturity

5. AI takes many forms but it is …
Mimics Humans
Narrow
Can Learn
Based on good knowledge
Requires Big Data
Can Predict what will happen next
Augments Human Performance

6. Artificial Intelligence – Core of the Digital Transformation
Digitise and
improve customer
engagements
Deep analytics
Machine Learning
Cloud offerings
IoE includes people
Intelligence at Edge
Overlay with analytics
and automation

7. Towards Actionable Outcomes Through AI
Predictable
Structured
AI Engine
Actionable Outcomes
Algorithms
Learning
Take informed action
Optimize process
Natural Language
Heuristics
“Science” of Knowledge

8. Data Becomes a Key Asset for Business Performance
DEFINE
Source : Social Media, Documents
Tools: Application Programming Interfaces (APIs), Advance Analytics
DISCOVER
Source: Internet of Things (IoT), physical files
Tools: Deep Learning
ANALYZE
Source: IT Systems
Tools: Traditional Business Intelligence apps
INTEGRATE
Source: IoT
Tools: Machine Learning
Unstructured
Structured
Data Structure
Complexity
Structured
Known
Unknown
Data State

9. Example of Rules – Linguistics (Universal Grammar)
We are all born with an innate knowledge of grammar that serves as the basis for all language acquisition.
Set of general principles that apply to all grammars and that leave certain parameters open
Chomsky (American Linguist)

10. + = X = + X Find X Smart Phone Sedilame Smart Worker
Joe Blogg aka Average Joe

11. Machines Outperform Humans but ……
Average Person
Good Algorithms
Average Person(Joe Blogg) with Good Algorithms
Smarter Employee
BUT
Algorithms with Employee will produce SUPERIOR OUTCOMES

12. Agenda The Evolution of AI – Where are we now .. Use Cases
Impact on Organisations and you

13. Use Case : Robotic Process Automation (RPA)
Can be deployed in any operational and administrative function
IT Operations
AI and automation improves manning ratios from 1 to servers
Respond to service calls and resolve customer faults
Financial Transactions
Reconcile bank statements especially when errors occur
Process invoices
HR Services
Screening and processing of recruitment applications
Payroll processing and error resolution

14. Use Case : Digital Twin – Formula One Car Racing
Real Race Car
Race Car with its Twin
The car’s digital twin enables optimisation of car and driver performance
Race can be simulated under different scenarios: wetness, windy, heat etc
Improved performance for Team

15. Current Tests on Open Roads
Use Case : Autonomous Trucks – Mining Operations
Been in Operation in Australia for years
Improvements in production levels, safety and maintenance costs
Enable remote operations
GAME CHANGER
Current Tests on Open Roads

16. Use Case : AI in Ecosystems – A Tale of Two Tech Giants
Uses intelligent ecosystem to disrupt retail
Moves from pure online – reinvents retail with a cashless stores driven by technology
Breaths life into US the postal services !
Market Cap 1 Trillion
Extensive e-commence market systems – links suppliers to consumers
Uses AI to extent lines of credit in real time
Market Cap ½ Trillion

17. Agenda The Evolution of AI – Where are we now .. Use Cases
Impact on Organisations and you

18. The Future Organisation - Systems of Intelligence
"Every business will become a software business, build applications, use advanced analytics and provide SaaS services"
CEO Microsoft, Satya Nadella
“The dictum was – there are no IT projects just business projects … now we understand that all projects are essentially IT projects"
Head of Information Debswana, Gerald Nthebolan

19. Overall Net Creator of Jobs after 2020 BUT
70+% of jobs reconfigured (creative destruction)
25% of non-routine work, will be fundamentally augmented

20. The half-life of each qualification will continue to shrink
Entry Levels for Formal Work will continue to rise …
The half-life of each qualification will continue to shrink

21. AI will enable Training and Education to scale
Assume being taught by machines or software

22. Impact mostly at Operational Level
Strategic
(AI Strategic to delivery)
Tactical
(40% task impact, AI performance augmentation)
Operational
(70% tasks impacted, Raises job entry levels)

23. Key Recommendations for Employees
Organisational culture remains the top obstacle to change
Learn, un-learn and re-learn
Manage and manipulate data as self service
Immerse yourself in digital – augment your performance with software