Al in Marketing Sales and Service by Peter Gentsch

Al in Marketing Sales and Service by Peter Gentsch

PDF Free Download | Al in Marketing Sales and Service How Marketers without a Data Science Degree can Use AI, Big Data and Bots by Peter Gentsch

Contents of Al in Marketing Sales and Service

  • Part I AI
  • AI Eats the World
  • AI and the Fourth Industrial Revolution
  • AI Development: Hyper, Hyper…
  • AI as a Game Changer
  • AI for Business Practice
  • Reference
  • A Bluffer’s Guide to AI, Algorithmics and Big Data
  • Big Data—More Than “Big”
  • Big Data—What Is Not New
  • Big Data—What Is New
  • Definition of Big Data
  • Algorithms—The New Marketers?
  • The Power of Algorithms
  • AI the Eternal Talent Is Growing Up
  • AI—An Attempt at a Definition
  • Historical Development of AI
  • Why AI Is Not Really Intelligent—And Why
  • That Does Not Matter Either
  • Part II AI Business: Framework and Maturity Model
  • AI Business: Framework and Maturity Model
  • Methods and Technologies
  • Symbolic AI
  • Natural Language Processing (NLP)
  • Rule-Based Expert Systems
  • Sub-symbolic AI
  • Machine Learning
  • Computer Vision and Machine Vision
  • Robotics
  • Framework and Maturity Model
  • AI Framework—The ° Perspective
  • Motivation and Benefit
  • The Layers of the AI Framework
  • AI Use Cases
  • Automated Customer Service
  • Content Creation
  • Conversational Commerce, Chatbots
  • and Personal Assistants
  • Customer Insights
  • Fake and Fraud Detection
  • Lead Prediction and Profiling
  • Media Planning
  • Pricing
  • Process Automation
  • Product/Content Recommendation
  • Sales Volume Prediction
  • AI Maturity Model: Process Model with Roadmap
  • Degrees of Maturity and Phases
  • Benefit and Purpose
  • Algorithmic Business—On the Way Towards Self-Driven
  • Companies
  • Classical Company Areas
  • Inbound Logistics
  • Production
  • Controlling
  • Fulfilment
  • Management
  • Sales/CRM and Marketing
  • Outbound Logistics
  • Algorithmic Marketing
  • AI Marketing Matrix
  • The Advantages of Algorithmic Marketing
  • Data Protection and Data Integrity
  • Algorithms in the Marketing Process
  • Practical Examples
  • The Right Use of Algorithms in Marketing
  • Algorithmic Market Research
  • Man Versus Machine
  • Liberalisation of Market Research
  • New Challenges for Market Researchers
  • New Business Models Through Algorithmics and AI
  • Who’s in Charge
  • Motivation and Rationale
  • Fields of Activity and Qualifications of a CAIO
  • Role in the Scope of Digital Transformation
  • Pros and Cons
  • Conclusion
  • References
  • Part III Conversational AI: How (Chat)Bots Will
  • Reshape the Digital Experience
  • Conversational AI: How (Chat)Bots Will Reshape the Digital
  • Experience
  • Bots as a New Customer Interface and Operating System
  • (Chat)Bots: Not a New Subject—What Is New?
  • Imitation of Human Conversation
  • Interfaces for Companies
  • Bots Meet AI—How Intelligent Are Bots Really?
  • Mitsuku as Best Practice AI-Based Bot
  • Possible Limitations of AI-Based Bots
  • Twitter Bot Tay by Microsoft
  • Conversational Commerce
  • Motivation and Development
  • Messaging-Based Communication Is Exploding
  • Subject-Matter and Areas
  • Trends That Benefit Conversational Commerce
  • Examples of Conversational Commerce
  • Challenges for Conversational Commerce
  • Advantages and Disadvantages of Conversational
  • Commerce
  • Conversational Office
  • Potential Approaches and Benefits
  • Digital Colleagues
  • Conversational Home
  • The Butler Economy—Convenience Beats
  • Branding
  • Development of the Personal Assistant
  • Conversational Commerce and AI in the GAFA Platform
  • Economy
  • Bots in the Scope of the CRM Systems of Companies
  • “Spooky Bots”—Personalised Dialogues
  • with the Deceased
  • Maturity Levels and Examples of Bots and AI Systems
  • Maturity Model
  • Conversational AI Playbook
  • Roadmap for Conversational AI
  • Platforms and Checklist
  • Conclusion and Outlook
  • E-commerce—The Deck Is Being Reshuffled:
  • The Fight for the New E-commerce Eco System
  • Markets Are Becoming Conversations at Last
  • References
  • Part IV AI Best and Next Practices
  • AI Best and Next Practices
  • Sales and Marketing Reloaded—Deep Learning
  • Facilitates New Ways of Winning Customers and Markets
  • Sales and Marketing
  • Analogy of the Dating Platform
  • Profiling Companies
  • Firmographics
  • Topical Relevance
  • Digitality of Companies
  • Economic Key Indicators
  • Lead Prediction
  • Prediction Per Deep Learning
  • Random Forest Classifier
  • Timing the Addressing
  • Alerting
  • Real-World Use Cases
  • Digital Labor and What Needs to Be Considered from
  • a Costumer Perspective
  • Acceptance of Digital Labor
  • Trust Is the Key
  • Customer Service Based on Digital Labor
  • Must Be Fun
  • Personal Conversations on Every Channel or
  • Device
  • Utility Is a Key Success Factor
  • Messaging Is Not the Reason to Interact with
  • Digital Labor
  • Digital Labor Platform Blueprint
  • Artificial Intelligence and Big Data in Customer Service
  • Modified Parameters in Customer Service
  • Voice Identification and Voice Analytics
  • Chatbots and Conversational UI
  • Predictive Maintenance and the Avoidance of
  • Service Issues
  • Conclusion: Developments in Customer Service
  • Based on Big Data and AI
  • Customer Engagement with Chatbots and Collaboration
  • Bots: Methods, Chances and Risks of the Use of Bots in
  • Service and Marketing
  • Relevance and Potential of Bots for Customer
  • Engagement
  • Overview and Systemisation of Fields of Use
  • Abilities and Stages of Development of Bots
  • Some Examples of Bots That Were Already Used
  • at the End of
  • Proactive Engagement Through a Combination
  • of Listening and Bots
  • Cooperation Between Man and Machine
  • Planning and Rollout of Bots in Marketing
  • and Customer Service
  • Factors of Success for the Introduction of Bots
  • Usability and Ability to Automate
  • Monitoring and Intervention
  • Brand and Target Group
  • Conclusion
  • The Bot Revolution Is Changing Content Marketing
  • Algorithms and AI for Generating and Distributing
  • Robot Journalism Is Becoming Creative
  • More Relevance in Content Marketing
  • Through AI
  • Is a Journalist’s Job Disappearing?
  • The Messengers Take Over the Content
  • The Bot Revolution Has Announced Itself
  • A Huge Amount of Content Will Be Produced
  • Brands Have to Offer Their Content on the
  • Platforms
  • Platforms Are Replacing the Free Internet
  • Forget Apps—The Bots Are Coming!
  • Competition Around the User’s Attention Is High
  • Bots Are Replacing Apps in Many Ways
  • Companies and Customers Will Face Each
  • Other in the Messenger in the Future
  • How Bots Change Content Marketing
  • Examples of News Bots
  • Acceptance of Chat Bots Is Still Controversial
  • Alexa and Google Assistant: Voice Content Will
  • Assert Itself
  • Content Marketing Always Has to Align with
  • Something New
  • Content Marketing Officers Should Thus Today
  • Prepare Themselves for a World in Which …
  • Chatbots: Testing New Grounds with a Pinch of Pixie
  • Dust?
  • Rogue One: A Star Wars Story—Creating an
  • Immersive Experience
  • Xmas Shopping: Providing Service
  • and Comfort to Shoppers with Disney Fun
  • Do You See Us?
  • Customer Services, Faster Ways to Answer
  • Consumers’ Request
  • A Promising Future
  • Three Takeaways to Work on When Creating
  • Your Chatbot
  • Alexa Becomes Relaxa at an Insurance Company
  • Introduction: The Health Care Market—The
  • Next Victim of Disruption?
  • The New Way of Digital Communication:
  • Speaking
  • Choice of the Channel for a First Case
  • The Development of the Skill “TK Smart Relax”
  • Communication of the Skill
  • Target Achievement
  • Factors of Success and Learnings
  • The Future of Media Planning
  • Current Situation
  • Software Eats the World
  • New Possibilities for Strategic Media Planning
  • Media Mix Modelling Approach
  • Giant Leap in Modelling
  • Conclusion
  • Corporate Security: Social Listening, Disinformation
  • and Fake News
  • Introduction: Developments in the Process
  • of Early Recognition
  • The New Threat: The Use of Bots for Purposes
  • of Disinformation
  • The Challenge: “Unkown Unknowns”
  • The Solution Approach: GALAXY—Grasping
  • the Power of Weak Signals
  • Next Best Action—Recommender Systems Next Level
  • Real-Time Analytics in Retail
  • Recommender Systems
  • Reinforcement Learning
  • Reinforcement Learning for Recommendations
  • Summary
  • How Artificial Intelligence and Chatbots Impact
  • the Music Industry and Change Consumer Interaction
  • with Artists and Music Labels
  • The Music Industry
  • Conversational Marketing and Commerce
  • Data Protection in the Music Industry
  • Outlook into the Future
  • References
  • Part V Conclusion and Outlook: Algorithmic Business—Quo
  • Vadis?
  • Conclusion and Outlook: Algorithmic Business—Quo Vadis?
  • Super Intelligence: Computers Are Taking
  • Over—Realistic Scenario or Science Fiction?
  • Will Systems Someday Reach or Even
  • Surmount the Level of Human Intelligence?
  • AI: The Top Trends of and Beyond
  • Implications for Companies and Society
Share book:

Related Free Books

Al in Marketing Sales and Service by Peter Gentsch

Book Details

Author

Language

Pages

Size

Format

Al in Marketing Sales and Service by Peter Gentsch

Related Books

What's the problem with this file?

Attention !

Help us remove any copyrighted material that may be posted on our site.

We ask you to inform us of any infringing material that may be unintentionally published on our site to remove it.

Reach us at: [email protected]

Attention !

Help us remove any copyrighted material that may be posted on our site.

We ask you to inform us of any infringing material that may be unintentionally published on our site to remove it.

Reach us at: [email protected]