An Introduction to Data Everything You Need to Know About Big Data by Francesco Corea

An Introduction to Data by Francesco Corea

PDF Free Download | 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
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