Current AI elaboration area and future scope.pptx

Why AI how it will bring revolution in different sector

1. AI in Governance: Why, What and How AI in government and public services — now and in the future Current AI: AI is rapidly evolving, but it's important to remember it's not some super-intelligence yet. Today's AI excels at specific tasks involving data analysis, pattern recognition, and automation. Surya Basnet Machine Learning and Data Science Community Nepal https://mldsnnepal.org

2. Four Phases of E-Government Mode

3. More people are connected (Internet, Web, Social Media, IoT) More machine intelligence is available More data is available (Big data, Open data, Linked data, Blockchain) 2030 2010 Citizen Services: Chatbots and virtual assistants can answer questions, guide people through processes, and even personalize service delivery. Data-Driven Decisions: AI can analyze vast datasets to identify trends, predict problems, and inform policy decisions. Law Enforcement: AI can sift through evidence, identify patterns in crime data, and even predict potential criminal activity

4. From Industry 1.0 to Industry 4.0

5. Industry 4.0

6. Government 1.0 Division of labor, rules of Economy, French Revolution, US Constitution Post Kingdom - democracies 1789 1870 1950 Government 2.0 Processes, Bureaucracy, M a n a g eme n t S cien c e, Workflow, Project Management, Logistics, Typewriter Post-Empire Dem o c r a cies Government 3.0 Computers, Information Systems, Software, Service science, Interoperability Standards, Mobile devices Postwar democracies Government 4.0 Cyber-physical Systems AI, IoT, Smart solutions, Bid Data, Analytics, Policy modelling and simulation, stance classification, opinion mining, sentiment analysis New forms of Democracy ? dGOV1.0 dGOV2.0 dGOV3.0 Connected Open Smart / Disruptive Governance Governance Governance From Gov 1.0 to Gov 4.0

7. The Domains of Digital Governance Digital Governance Digital Governance 1.0 (Service Provision) Digital Governance 2.0 (Open & Collaborative Governance) Digital Governance 3.0 / 4.0 (Smart & Disruptive) Service Automat i on and BPR Legal, Organisational, Semantic & Technical Interoperability e-Authentication Digital Signatures Service Portals Mobile applications Cloud Infrastructures Big Data-Driven Decision Making Artificial Intelligence in Governance e-Participation e-Voting Open Governmental Data (OGD) Linked Data e - Collaboration (Collaborative Service Design) Crowdsourcing Community Awareness Platforms Blockchain in Governance Internet of Things Policy modelling Societal Simulation Opinion Mining / Sentiment Analysis

8. PwC 4 Adoption> AI is automating, transforming, and disrupting all industries Value> AI is projected to contribute significant value to global GDP Operationalize AI > AI is moving from proof- of- concepts to operational systems Responsible AI> Responsible use of AI is gaining increased attention AI as a National Competitive Advantage> Countries are developing AI strategies to gain national competitive advantage Investments> Dramatic rise in deal value & volume is reshaping AI

9. AI Can be Explored Agriculture Health Education Construction Food and Beverage Fintech Logistics Retail Sports Automative Energy Life Sciences Manufacturing Software and Internet Gaming Why The AI market is huge: The current global market for AI is expected to hit  $42.6 billion by year's end . And that's just the start: consulting firm PwC forecasts that by 2030, AI will contribute $15.7 trillion to the global economy Explored Area Can Be:

10. Opportunities, Threats, Future of AI and Government Jobs   Opportunities: Boost Efficiency: Automating repetitive tasks frees up government workers to focus on more complex issues. Improve Transparency: AI can analyze data to identify and root out bias in decision-making. Enhance Public Safety: AI-powered crime prediction can help allocate resources more effectively. Threats: Job Displacement: Some government jobs with repetitive tasks might be automated. Algorithmic Bias: AI systems trained on biased data can perpetuate those biases in decision-making. Privacy Concerns: Large-scale data collection for AI raises privacy and security risks. Future of AI and Government Jobs: The future is uncertain, but it's likely AI will create new government jobs while automating some existing ones. The key will be to: Reskill and Upskill Workers: Governments need to invest in training programs to help workers adapt to the changing landscape. Develop Ethical Frameworks for AI Use: Clear guidelines are crucial to ensure AI is used responsibly and fairly.

11. Future & Recommendations Autonomous Vehicles & Robots Soft-Bots & C ha t bo t s Digital Twins Societal Modelling Se lf - adap t ing Simulation Automated Reasoners I n t e l ligent Systems Large Corpus Unders t and i ng D ec i s i on S uppo r t

12. Artificial intelligence (AI) market size worldwide in 2021 with a forecast until 2030 (in million U.S. dollars)

13. AI Initiatives in Nepal C ommunity called machine learning and data science network (MLDSN) Nepal in 2018. https://www.mldsnnepal.org/ 2. Naami Nepal Started in 2018 AI Winter School https://www.naamii.org.np/outreach/annual-nepal-ai-school/ 3. Fuse Machine Nepal Democratize AI https://fusemachines.com/ 4. Infusion AI-Driven Technology for Tomorrow’s Success https://treeleaf.ai/ 5. Kathmandu University Started BTech AI and Mtech AI program in 2021 6. Tribhuvan University Department of Mathematics Started Master in Data Science Program Many more college and university have also started to teach AI and Data Science related program

14. Thank you Q & A ?