AI & Big Data: Concepts, Applications, and Ethics

Introduction

• The “fully” digital era is upon us, can we still escape it?
• How we are shifting from digital “unconsci...s” to digital “consciousness”?
• The traces we leave on the Internet (whether voluntarily or not) constitute our Digital Identity
• The digitization of our world continues, and con...vices are the next step (the Internet of Things)

What is Intelligence?

• Intelligence
• Artificial Intelligence
• How BI has developed

Digital Learning

• What is learning?
• Big Data and the Internet of Things will reshuffle the cards
• Artificial Intelligence linked to Big Data will undoubtedly be the keystone of digital learning
• Supervised learning
• Enhanced supervised learning
• Unsupervised learning

The Reign of Algorithms

• What is an algorithm?
• A brief history of AI
• Algorithms are based on neural networks, but what does this mean?
• Why do Big Data and AI work so well together?

Uses for Artificial Intelligence

• Customer experience management
• The transport industry
• The medical industry
• “Smart” personal assistant (or agent)
• Image and sound recognition
• Recommendation tools

Appendix A: Big Data

• The four Vs

Appendix B: Smart Data

Appendix C: Data Lakes

Appendix D: Comparison Between Machine Learning and Traditional Business Intelligence

Appendix E: Conceptual Outline of the Steps Requ...Customization Solution based on Machine Learning

Appendix F: Some Vocabulary Relevant to Artificial Intelligence

Artificial Intelligence: How AI is Reshaping Life and Business

• Introduction
• AI and Robotics
• History of Development of Artificial Intelligence
• Lessons from the Technology Revolutions of the Past Three Centuries
• New Competitive Advantage of AI
• Hype and Reality of AI
• Want to Solve a Problem, Think AI
• Continuous Improvement
• Will AI Pose a Threat to Sapiens?
• Concluding Remarks

Understanding Artificial Intelligence and Associated Technologies

• Artificial Intelligence
• General AI and Narrow AI
• Different Technologies under Artificial Intelligence
• What does AI involve?
• What AI can do?
• Specific Applications of AI
• Study of AI – A Multi- Disciplinary Approach
• AI and its Sub-sets
• What is Machine Learning (ML)?
• Reinforcement Learning
• Neural Networks—Study of Biological Neurons
• AI-powered Unmanned Aerial vehicles (Drones)
• Understanding Robotics
• Push for Robotization
• Internet of Things (IoT)
• Application of IoT
• Advantages of IoT
• Concluding Remarks

AI in the ‘Bull’ Run

• Artificial Intelligence is making a Rapid Progress
• Stanford University Report shows AI is progressing fast
• GPU Performance Speedup
• Rising Budget for Digital Transformation
• Lead Indicators show AI in ‘bull’ run
• Rise in VC Funding
• Spurt in Merger and Acquisition activity in AI
• Patent Filings in AI Growing
• Earnings Call- New Favorite is AI and Machine Learning
• Indian AI startups are a tipping point
• Every Company wants to become Intelligent
• Demand for top talent in AI Skills
• Business Perception for Job-skilling
• Publications in AI Research
• Business Feedback on Impact of AI
• Engaging with AI is Top Priority for the Tech Industry
• Conclusion

Data Engine of Artificial Intelligence

• Introduction
• Safeguards for Making Use of Data
• Data Security must be robust
• Policy Issues on Use of Data
• Big Players have big advantage, but why disturb them?
• Data ownership versus Control of Data
• Setting up a Data Authority
• Tim Burners Lee’s Project for data Storage and Transaction
• HAT Project
• Conclusion
• Annexure to Lesson 4
• Sanctions

Big Tech Bets Big on Artificial Intelligence

• Introduction
• Why Big Tech is betting big on AI
• What the US big tech companies are doing to Promote AI
• R&D Spend by the US based big tech companies
• Specifics of what the US Big Tech is doing
• Rise of China’s Big Tech in AI
• Summary of what 3AFIM and ABJT are doing collectively
• Concluding Remarks

AI Startups that Transformed Businesses

• Introduction
• Startups in different Industries
• Conclusion

AI Startups in Finance

• Introduction
• New Technology Trends in AI for Fintech
• Key Fintech verticals and Startups
• Returns on Investments in AI
• AI-based Startups in Fintech
• Detailed study of a few AI Startups in Finance
• Benefits of AI in Financial sector
• Regulatory limitations of AI based solutions
• Conclusion

AI Startups in Healthcare

• How AI is being applied in Healthcare
• AI Startups in Healthcare
• Advantages of AI in healthcare
• Limitations
• Conclusion

AI Startups in Human Resources

• How AI Changes the recruitment process
• Advantages of AI in HR
• Limitations of AI in HR
• Conclusion

AI Startups in Fashion, Law, Agriculture and Other Areas

• How AI Changes Fashion, Law and Agriculture et al
• AI in Fashion Retailing
• AI in Product Design
• AI and Analytics in Hospitality Industry
• Startups in Agriculture
• Startups in Law
• Startups in Conversational Platform
• Benefits of AI
• Conclusion

Ethical, Social and Political Issues in AI

• Ethics of Intelligent systems
• Job Losses- the biggest worry in the rise of AI
• Billions got Employment thanks to Technological Inventions
• Human-Machine Team Up
• The Inequality arising out of AI
• Bias of Algorithms
• Monopoly of the Big Tech
• Concerns on Privacy
• Fake News and Fake Videos: Need for Regulation
• Issue of Cyber Security and Hacking
• Over-indulgence on Social Media and Gaming
• AI for Public Good
• Dangers of Autonomy to Machines
• Tyranny of the Authoritarian Governments
• Focus on how AI succeeds in the market place
• Conclusion

Future of Artificial Intelligence

• How Current Technologies will expand
• How AI will emerge in longer term
• Can AI become Creative?
• Conclusion

Conclusion

• Artificial Intelligence is set to Change our World
• Our Personal Lives set to Change
• Businesses are experiencing a Revolution
• Businesses must adopt everything Digital
• Benefits of AI to Businesses
• Benefits in Agriculture, Health etc. for the Larger Society
• Technology will keep improving
• AI creates National and International Competition
• Social and Ethical Issues
• Humans will remain relevant
• Get ready for an AI-society
• Manage the Unexpected Developments
• AI Growth Engine Must Keep on Rolling
• Concluding Remarks