A Strategic Roadmap for Artificial Intelligence in Social Sector considering the challenges and constraints of 2020. A survey of global reference case studies, key pillars, maturity models, growth markets, revenue projections, use cases etc.

1. Imaging Intelligent
Information Machines
AI Strategy Blueprint 2020

3. Pillars of AI Strategy
Interdisciplinary data science team
Robust data strategy
Robust data ecosystem
Established business processes
Commitment to IT best practices
High risk tolerance
Experimental thinking

4. Benefits of AI
Creating New Products and Services
Increasing Workforce Productivity
Winning more market share
Better Customer Segmentation
Better Business Intelligence
Efficient Business Models

5. AI Revenue Projections

6. Growth Markets for AI
Asia Pacific
North America
Western Europe
Middle East

7. Top Challenges
Skills of Staff
Data Quality
Data Relevance
Use Case Clarity
Integration Complexity

8. AI Maturity Model
Awareness in AI
Activism in AI
Vitality in AI
Operationalising AI
Systems of AI
Transformations through AI

9. Phase Wise Approach
Phase 1 : Data Strategy
Phase 2: Service Incubation
Phase 3 : Pilot Deployments
Phase 4: Product Incubation
Phase 5: Product Deployment
Phase 6: Platform Engineering
Phase 7: Ecosystem Integration

10. What problems do we want to solve through AI ?
Data Deluge
Content Clutter
Information loss
Rule Ambiguity
Lack of Optimisation
Lack of Efficiency

11. Top 10 AI Use Cases
Contract / Agreement Analysis
Object Detection & Navigation
Objects from Geospatial Images
Image Search Engines
Predictive Maintenance
Image Classification & Tagging
Algorithmic Trading Strategy

12. Long Term Objectives
Developing Smarter Products and Services
Making Business Processes and Functions Intelligent
Automating Repetitive and Mundane Tasks
Automating Manufacturing Processes

13. Required Capabilities
Conversational AI
Recommendation Systems
Anomaly Detection Systems
Speech Recognition Systems
Image Processing Systems
Video Analytics Systems

14. Roadmap for AI
Assisted Intelligence
Augmented Intelligence
Autonomous Intelligence

15. AI Priority Sectors
Travel, Transportation & Logistics
Retail, FMCG & Supply Chain
Chemical & Petroleum
Media & Entertainment
Construction
Agriculture
Financial Services
Public Sector

16. Business Value of AI
Public Sector - 0.2 Trillion ( 9 % )
Banking - 0.3 Trillion ( 4 % )
Construction - 0.2 Trillion ( 2%)
Oil & Gas - 0.2 Trillion ( 1.8 % )
Agriculture - 0.1 Trillion ( 3 % )

17. AI landscape in India
Good Consumer Awareness
Good Consumer Readiness
Growing StartUp Ecosystem
Early Adoption Businesses
Great Government Support
Access to Data Sets

18. AI & Industry Growth
Agriculture
Manufacturing
Social Services
Public Services
Education
Food Services

19. Global Use Cases
Intrusion Detection Systems for
Cyber Security Operation Centers
Anomaly Detection in Audit and
Assurance services in Government
Runbook Automation for Banking
and Financial Services
Automation of Vendor Evaluation
Automated Auction Systems

20. AI for B2B & B2C
AI for Product Development
● Predictive Maintenance
● Supply Chain Optimisation
● Operation Optimisation
● Asset Management
AI for App Development
● Billing Management
● Fraud Detection
● Customer Authentication
● HR Management

21. AI Use Cases for
Social Sector
Workflow Optimisation for
Agriculture Workflows
Predictive Maintenance for
Agriculture Machinery
Personalisation for Finance
Engineering Analytics for
Manufacturing Industry
Operational Analytics for
Construction Industry
Recommendation Systems for
Educational Platforms

22. Chatbot Use Cases
Emergency Response
Production Support
Customer Service
Bill Payment
Hotel Reservation
Purchase Assistant
Learning Assistant

23. AI IoT Convergence
Sensor Fusion through AI
Sensor Modelling through AI
Sensor Analytics through AI
Sensor Optimisation through AI

24. AI & Cybersecurity
AI for Biometric Pattern Recognition
AI for Malware Threat Detection
AI for Digital Forensics
AI based Authentication Frameworks

25. Next Steps
● AI Action Plan
● AI Methodology
● AI Reference Architecture
● AI Ecosystem
● AI Task Force
● AI Solution Accelerators
● AI Sales Accelerators
● AI Delivery Accelerators
● Skill Gap Analysis
● SWOT Analysis

26. Appendix

27. Emerging Use Cases
Medical Image Classification
Automated Insurance Claims
Self Navigating Drones
Autonomous Mining
Legal Advisors
Decentralized Data Marketplaces

28. AI Policies Across the Globe - A Reference

29. An AI Ops Framework

30. An AI Deployment Reference Model - PwC

31. An AI first Enterprise Model - Google

32. An AI Product Strategy Reference - Amazon

33. References
https://sloanreview.mit.edu/tag/artificial-intelligence-business-strategy/
http://www3.weforum.org/docs/WEF_National_AI_Strategy.pdf
https://towardsdatascience.com/ultimate-ai-strategy-guide-9bfb5e9ecf4e
https://towardsdatascience.com/ultimate-ai-strategy-guide-9bfb5e9ecf4e
https://sloanreview.mit.edu/article/five-management-strategies-for-getting-the-most-from-ai/