An Introduction to Data Everything You Need to Know About AI, Big Data and Data Science by Francesco Corea
Contents of An Introduction to Data
- Introduction to Data
- Big Data Management: How Organizations Create and
- Implement Data Strategies
- Introduction to Artificial Intelligence
- Basic Definitions and Categorization
- A Bit of History
- Why AI Is Relevant Today
- AI Knowledge Map: How to Classify AI Technologies
- Advancements in the Field
- Machine Learning
- Neuroscience Advancements
- Hardware and Chips
- AI Business Models
- Hiring a Data Scientist
- AI and Speech Recognition
- Conversation Interfaces
- The Challenges Toward Master Bots
- How Is the Market Distributed?
- Final Food for Thoughts
- AI and Insurance
- A Bit of Background
- So How Can AI Help the Insurance Industry?
- Who Are the Sector Innovators?
- Concluding Thoughts
- AI and Financial Services
- Financial Innovation: Lots of Talk, Little Action?
- Innovation Transfer: The Biopharma Industry
- Introducing AI, Your Personal Financial Disruptor
- Segmentation of AI in Fintech
- AI and Blockchain
- Non-technical Introduction to Blockchain
- A Digression on Initial Coin Offerings (ICOs)
- How AI Can Change Blockchain
- How Blockchain Can Change AI
- Decentralized Intelligent Companies
- New Roles in AI
- Hiring New Figures to Lead the Data Revolution
- The Chief Data Officer (CDO)
- The Chief Artificial Intelligence Officer (CAIO)
- The Chief Robotics Officer (CRO)
- AI and Ethics
- How to Design Machines with Ethically-Significant
- Behaviors
- Data and Biases
- Accountability and Trust
- AI Usage and the Control Problem
- AI Safety and Catastrophic Risks
- Research Groups on AI Ethics and Safety
- AI and Intellectual Property
- Why Startups Patent Inventions (and Why Is Different for AI)
- The Advantages of Patenting Your Product
- Reasons Behind not Looking for Patent Protection
- The Patent Landscape
- AI and Venture Capital
- The Rationale
- Previous Studies
- Personal and Team Characteristics
- Financial Considerations
- Business Features
- Industry Knowledge
- An Outsider Study: Hobos and Highfliers
- Who Is Using AI in the Private Investment Field
- A Guide to AI Accelerators and Incubators
- Definitions
- Are They Worth Their Value?
- Entrepreneur Perspective: To Join or not to Join
- Investor Perspective: Should I Stay or
- Should I Go
- Accelerators Assessment Metrics: Is the Program
- Any Good?
- A Comparison Between Accelerators
- Final Thoughts
- Appendix A: Nomenclature for Managers
- Appendix B: Data Science Maturity Test
- Appendix C: Data Scientist Extended Skills List (Examples in Parentheses)
- Appendix D: Data Scientist Personality Questionnaire
