The Resource AI in marketing, sales and service : how marketers without a data science degree can use AI, big data and bots, Peter Gentsch

AI in marketing, sales and service : how marketers without a data science degree can use AI, big data and bots, Peter Gentsch

Label
AI in marketing, sales and service : how marketers without a data science degree can use AI, big data and bots
Title
AI in marketing, sales and service
Title remainder
how marketers without a data science degree can use AI, big data and bots
Statement of responsibility
Peter Gentsch
Creator
Contributor
Author
Subject
Language
eng
Cataloging source
NhCcYBP
http://library.link/vocab/creatorName
Gentsch, Peter
Index
index present
LC call number
HF5415.125
LC item number
.G45 2019
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
http://library.link/vocab/relatedWorkOrContributorName
ProQuest (Firm)
http://library.link/vocab/subjectName
  • Marketing
  • Artificial intelligence
  • Big data
Label
AI in marketing, sales and service : how marketers without a data science degree can use AI, big data and bots, Peter Gentsch
Instantiates
Publication
Copyright
Antecedent source
unknown
Bibliography note
Includes bibliographical references and index
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
Machine generated contents note: pt. I AI 101 -- 1.AI Eats the World -- 1.1.AI and the Fourth Industrial Revolution -- 1.2.AI Development: Hyper, Hyper... -- 1.3.AI as a Game Changer -- 1.4.AI for Business Practice -- Reference -- 2.A Bluffer's Guide to AI, Algorithmics and Big Data -- 2.1.Big Data---More Than "Big" -- 2.1.1.Big Data---What Is Not New -- 2.1.2.Big Data---What Is New -- 2.1.3.Definition of Big Data -- 2.2.Algorithms---The New Marketers? -- 2.3.The Power of Algorithms -- 2.4.AI the Eternal Talent Is Growing Up -- 2.4.1.AI---An Attempt at a Definition -- 2.4.2.Historical Development of AI -- 2.4.3.Why AI Is Not Really Intelligent---And Why That Does Not Matter Either -- References -- pt. II AI Business: Framework and Maturity Model -- 3.AI Business: Framework and Maturity Model -- 3.1.Methods and Technologies -- 3.1.1.Symbolic AI -- 3.1.2.Natural Language Processing (NLP) -- 3.1.3.Rule-Based Expert Systems -- 3.1.4.Sub-symbolic AI -- 3.1.5.Machine Learning -- 3.1.6.Computer Vision and Machine Vision -- 3.1.7.Robotics -- 3.2.Framework and Maturity Model -- 3.3.AI Framework---The 360° Perspective -- 3.3.1.Motivation and Benefit -- 3.3.2.The Layers of the AI Framework -- 3.3.3.AI Use Cases -- 3.3.4.Automated Customer Service -- 3.3.5.Content Creation -- 3.3.6.Conversational Commerce, Chatbots and Personal Assistants -- 3.3.7.Customer Insights -- 3.3.8.Fake and Fraud Detection -- 3.3.9.Lead Prediction and Profiling -- 3.3.10.Media Planning -- 3.3.11.Pricing -- 3.3.12.Process Automation -- 3.3.13.Product/Content Recommendation -- 3.3.14.Sales Volume Prediction -- 3.4.AI Maturity Model: Process Model with Roadmap -- 3.4.1.Degrees of Maturity and Phases -- 3.4.2.Benefit and Purpose -- 3.5.Algorithmic Business---On the Way Towards Self-Driven Companies -- 3.5.1.Classical Company Areas -- 3.5.2.Inbound Logistics -- 3.5.3.Production -- 3.5.4.Controlling -- 3.5.5.Fulfilment -- 3.5.6.Management -- 3.5.7.Sales/CRM and Marketing -- 3.5.8.Outbound Logistics -- 3.6.Algorithmic Marketing -- 3.6.1.AI Marketing Matrix -- 3.6.2.The Advantages of Algorithmic Marketing -- 3.6.3.Data Protection and Data Integrity -- 3.6.4.Algorithms in the Marketing Process -- 3.6.5.Practical Examples -- 3.6.6.The Right Use of Algorithms in Marketing -- 3.7.Algorithmic Market Research -- 3.7.1.Man Versus Machine -- 3.7.2.Liberalisation of Market Research -- 3.7.3.New Challenges for Market Researchers -- 3.8.New Business Models Through Algorithmics and AI -- 3.9.Who's in Charge -- 3.9.1.Motivation and Rationale -- 3.9.2.Fields of Activity and Qualifications of a CAIO -- 3.9.3.Role in the Scope of Digital Transformation -- 3.9.4.Pros and Cons -- 3.10.Conclusion -- References -- pt. III Conversational AI: How (Chat)Bots Will Reshape the Digital Experience -- 4.Conversational AI: How (Chat) Bots Will Reshape the Digital Experience -- 4.1.Bots as a New Customer Interface and Operating System -- 4.1.1.(Chat) Bots: Not a New Subject---What Is New? -- 4.1.2.Imitation of Human Conversation -- 4.1.3.Interfaces for Companies -- 4.1.4.Bots Meet AI---How Intelligent Are Bots Really? -- 4.1.5.Mitsuku as Best Practice AI-Based Bot -- 4.1.6.Possible Limitations of AI-Based Bots -- 4.1.7.Twitter Bot Tay by Microsoft -- 4.2.Conversational Commerce -- 4.2.1.Motivation and Development -- 4.2.2.Messaging-Based Communication Is Exploding -- 4.2.3.Subject-Matter and Areas -- 4.2.4.Trends That Benefit Conversational Commerce -- 4.2.5.Examples of Conversational Commerce -- 4.2.6.Challenges for Conversational Commerce -- 4.2.7.Advantages and Disadvantages of Conversational Commerce -- 4.3.Conversational Office -- 4.3.1.Potential Approaches and Benefits -- 4.3.2.Digital Colleagues -- 4.4.Conversational Home -- 4.4.1.The Butler Economy---Convenience Beats Branding -- 4.4.2.Development of the Personal Assistant -- 4.5.Conversational Commerce and AI in the GAFA Platform Economy -- 4.6.Bots in the Scope of the CRM Systems of Companies -- 4.6.1."Spooky Bots"---Personalised Dialogues with the Deceased -- 4.7.Maturity Levels and Examples of Bots and AI Systems -- 4.7.1.Maturity Model -- 4.8.Conversational AI Playbook -- 4.8.1.Roadmap for Conversational AI -- 4.8.2.Platforms and Checklist -- 4.9.Conclusion and Outlook -- 4.9.1.E-commerce---The Deck Is Being Reshuffled: The Fight for the New E-commerce Eco System -- 4.9.2.Markets Are Becoming Conversations at Last -- References -- pt. IV AI Best and Next Practices -- 5.AI Best and Next Practices -- 5.1.Sales and Marketing Reloaded---Deep Learning Facilitates New Ways of Winning Customers and Markets -- 5.1.1.Sales and Marketing 2017 -- 5.1.2.Analogy of the Dating Platform -- 5.1.3.Profiling Companies -- 5.1.4.Firmographics -- 5.1.5.Topical Relevance -- 5.1.6.Digitality of Companies -- 5.1.7.Economic Key Indicators -- 5.1.8.Lead Prediction -- 5.1.9.Prediction Per Deep Learning -- 5.1.10.Random Forest Classifier -- 5.1.11.Timing the Addressing -- 5.1.12.Alerting -- 5.1.13.Real-World Use Cases -- 5.2.Digital Labor and What Needs to Be Considered from a Costumer Perspective -- 5.2.1.Acceptance of Digital Labor -- 5.2.2.Trust Is the Key -- 5.2.3.Customer Service Based on Digital Labor Must Be Fun -- 5.2.4.Personal Conversations on Every Channel or Device -- 5.2.5.Utility Is a Key Success Factor -- 5.2.6.Messaging Is Not the Reason to Interact with Digital Labor -- 5.2.7.Digital Labor Platform Blueprint -- 3.3.Artificial Intelligence and Big Data in Customer Service -- 5.3.1.Modified Parameters in Customer Service -- 5.3.2.Voice Identification and Voice Analytics -- 5.3.3.Chatbots and Conversational UI -- 5.3.4.Predictive Maintenance and the Avoidance of Service Issues -- 5.3.5.Conclusion: Developments in Customer Service Based on Big Data and AI -- 5.4.Customer Engagement with Chatbots and Collaboration Bots: Methods, Chances and Risks of the Use of Bots in Service and Marketing -- 5.4.1.Relevance and Potential of Bots for Customer Engagement -- 5.4.2.Overview and Systemisation of Fields of Use -- 5.4.3.Abilities and Stages of Development of Bots -- 5.4.4.Some Examples of Bots That Were Already Used at the End of 2016 -- 5.4.5.Proactive Engagement Through a Combination of Listening and Bots -- 5.4.6.Cooperation Between Man and Machine -- 5.4.7.Planning and Rollout of Bots in Marketing and Customer Service -- 5.4.8.Factors of Success for the Introduction of Bots -- 5.4.9.Usability and Ability to Automate -- 5.4.10.Monitoring and Intervention -- 5.4.11.Brand and Target Group -- 5.4.12.Conclusion -- 5.5.The Bot Revolution Is Changing Content Marketing--- Algorithms and AI for Generating and Distributing Content -- 5.5.1.Robot Journalism Is Becoming Creative -- 5.5.2.More Relevance in Content Marketing Through AI -- 5.5.3.Is a Journalist's Job Disappearing? -- 5.5.4.The Messengers Take Over the Content -- 5.5.5.The Bot Revolution Has Announced Itself -- 5.5.6.A Huge Amount of Content Will Be Produced -- 5.5.7.Brands Have to Offer Their Content on the Platforms -- 5.5.8.Platforms Are Replacing the Free Internet -- 5.5.9.Forget Apps---The Bots Are Coming! -- 5.5.10.Competition Around the User's Attention Is High -- 5.5.11.Bots Are Replacing Apps in Many Ways -- 5.5.12.Companies and Customers Will Face Each Other in the Messenger in the Future -- 5.5.13.How Bots Change Content Marketing -- 5.5.14.Examples of News Bots -- 5.5.15.Acceptance of Chat Bots Is Still Controversial -- 5.5.16.Alexa and Google Assistant: Voice Content Will Assert Itself -- 5.5.17.Content Marketing Always Has to Align with Something New -- 5.5.18.Content Marketing Officers Should Thus Today Prepare Themselves for a World in Which ... -- 5.6.Chatbots: Testing New Grounds with a Pinch of Pixie Dust? -- 5.6.1.Rogue One: A Star Wars Story---Creating an Immersive Experience -- 5.6.2.Xmas Shopping: Providing Service and Comfort to Shoppers with Disney Fun -- 5.6.3.Do You See Us? -- 5.6.4.Customer Services, Faster Ways to Answer Consumers' Request -- 5.6.5.A Promising Future -- 5.6.6.Three Takeaways to Work on When Creating YourChatbot -- 5.7.Alexa Becomes Relaxa at an Insurance Company -- 5.7.1.Introduction: The Health Care Market---The Next Victim of Disruption? -- 5.7.2.The New Way of Digital Communication: Speaking -- 5.7.3.Choice of the Channel for a First Case -- 5.7.4.The Development of the Skill "TK Smart Relax" -- 5.7.5.Communication of the Skill -- 5.7.6.Target Achievement -- 5.7.7.Factors of Success and Learnings -- 5.8.The Future of Media Planning -- 5.8.1.Current Situation -- 5.8.2.Software Eats the World -- 5.8.3.New Possibilities for Strategic Media Planning -- 5.8.4.Media Mix Modelling Approach -- 5.8.5.Giant Leap in Modelling -- 5.8.6.Conclusion -- 5.9.Corporate Security: Social Listening, Disinformation and Fake News -- 5.9.1.Introduction: Developments in the Process of Early Recognition -- 5.9.2.The New Threat: The Use of Bots for Purposes of Disinformation -- 5.9.3.The Challenge: "Unkown Unknowns" -- 5.9.4.The Solution Approach: GALAXY---Grasping the Power of Weak Signals -- 5.10.Next Best Action---Recommender Systems Next Level -- 5.10.1.Real-Time Analytics in Retail -- 5.10.2.Recommender Systems -- 5.10.3.Reinforcement Learning -- 5.10.4.Reinforcement Learning for Recommendations -- 5.10.5.Summary -- 5.11.How Artificial Intelligence and Chatbots Impact the Music Industry and Change Consumer Interaction with Artists and Music Labels -- 5.11.1.The Music Industry -- 5.11.2.Conversational Marketing and Commerce -- 5.11.3.Data Protection in the Music Industry -- 5.11.4.Outlook into the Future -- References -- pt. V Conclusion and Outlook: Algorithmic Business---Quo Vadis? -- 6.Conclusion and Outlook: Algorithmic Business---Quo Vadis? -- 6.1.Super Intelligence: Computers Are Taking Over---Realistic Scenario or Science Fiction? -- 6.1.1.Will Systems Someday Reach or Even Surmount the Level of Human Intelligence? -- 6.2.AI: The Top 11 Trends of 2018 and Beyond -- 6.3.Implications for Companies and Society
Dimensions
unknown
Extent
1 online resource.
File format
unknown
Form of item
online
Isbn
9783319899572
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Quality assurance targets
not applicable
Reformatting quality
unknown
Reproduction note
Electronic reproduction.
Sound
unknown sound
Specific material designation
remote
Stock number
99979172834
System control number
(NhCcYBP)15801374
Label
AI in marketing, sales and service : how marketers without a data science degree can use AI, big data and bots, Peter Gentsch
Publication
Copyright
Antecedent source
unknown
Bibliography note
Includes bibliographical references and index
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
Machine generated contents note: pt. I AI 101 -- 1.AI Eats the World -- 1.1.AI and the Fourth Industrial Revolution -- 1.2.AI Development: Hyper, Hyper... -- 1.3.AI as a Game Changer -- 1.4.AI for Business Practice -- Reference -- 2.A Bluffer's Guide to AI, Algorithmics and Big Data -- 2.1.Big Data---More Than "Big" -- 2.1.1.Big Data---What Is Not New -- 2.1.2.Big Data---What Is New -- 2.1.3.Definition of Big Data -- 2.2.Algorithms---The New Marketers? -- 2.3.The Power of Algorithms -- 2.4.AI the Eternal Talent Is Growing Up -- 2.4.1.AI---An Attempt at a Definition -- 2.4.2.Historical Development of AI -- 2.4.3.Why AI Is Not Really Intelligent---And Why That Does Not Matter Either -- References -- pt. II AI Business: Framework and Maturity Model -- 3.AI Business: Framework and Maturity Model -- 3.1.Methods and Technologies -- 3.1.1.Symbolic AI -- 3.1.2.Natural Language Processing (NLP) -- 3.1.3.Rule-Based Expert Systems -- 3.1.4.Sub-symbolic AI -- 3.1.5.Machine Learning -- 3.1.6.Computer Vision and Machine Vision -- 3.1.7.Robotics -- 3.2.Framework and Maturity Model -- 3.3.AI Framework---The 360° Perspective -- 3.3.1.Motivation and Benefit -- 3.3.2.The Layers of the AI Framework -- 3.3.3.AI Use Cases -- 3.3.4.Automated Customer Service -- 3.3.5.Content Creation -- 3.3.6.Conversational Commerce, Chatbots and Personal Assistants -- 3.3.7.Customer Insights -- 3.3.8.Fake and Fraud Detection -- 3.3.9.Lead Prediction and Profiling -- 3.3.10.Media Planning -- 3.3.11.Pricing -- 3.3.12.Process Automation -- 3.3.13.Product/Content Recommendation -- 3.3.14.Sales Volume Prediction -- 3.4.AI Maturity Model: Process Model with Roadmap -- 3.4.1.Degrees of Maturity and Phases -- 3.4.2.Benefit and Purpose -- 3.5.Algorithmic Business---On the Way Towards Self-Driven Companies -- 3.5.1.Classical Company Areas -- 3.5.2.Inbound Logistics -- 3.5.3.Production -- 3.5.4.Controlling -- 3.5.5.Fulfilment -- 3.5.6.Management -- 3.5.7.Sales/CRM and Marketing -- 3.5.8.Outbound Logistics -- 3.6.Algorithmic Marketing -- 3.6.1.AI Marketing Matrix -- 3.6.2.The Advantages of Algorithmic Marketing -- 3.6.3.Data Protection and Data Integrity -- 3.6.4.Algorithms in the Marketing Process -- 3.6.5.Practical Examples -- 3.6.6.The Right Use of Algorithms in Marketing -- 3.7.Algorithmic Market Research -- 3.7.1.Man Versus Machine -- 3.7.2.Liberalisation of Market Research -- 3.7.3.New Challenges for Market Researchers -- 3.8.New Business Models Through Algorithmics and AI -- 3.9.Who's in Charge -- 3.9.1.Motivation and Rationale -- 3.9.2.Fields of Activity and Qualifications of a CAIO -- 3.9.3.Role in the Scope of Digital Transformation -- 3.9.4.Pros and Cons -- 3.10.Conclusion -- References -- pt. III Conversational AI: How (Chat)Bots Will Reshape the Digital Experience -- 4.Conversational AI: How (Chat) Bots Will Reshape the Digital Experience -- 4.1.Bots as a New Customer Interface and Operating System -- 4.1.1.(Chat) Bots: Not a New Subject---What Is New? -- 4.1.2.Imitation of Human Conversation -- 4.1.3.Interfaces for Companies -- 4.1.4.Bots Meet AI---How Intelligent Are Bots Really? -- 4.1.5.Mitsuku as Best Practice AI-Based Bot -- 4.1.6.Possible Limitations of AI-Based Bots -- 4.1.7.Twitter Bot Tay by Microsoft -- 4.2.Conversational Commerce -- 4.2.1.Motivation and Development -- 4.2.2.Messaging-Based Communication Is Exploding -- 4.2.3.Subject-Matter and Areas -- 4.2.4.Trends That Benefit Conversational Commerce -- 4.2.5.Examples of Conversational Commerce -- 4.2.6.Challenges for Conversational Commerce -- 4.2.7.Advantages and Disadvantages of Conversational Commerce -- 4.3.Conversational Office -- 4.3.1.Potential Approaches and Benefits -- 4.3.2.Digital Colleagues -- 4.4.Conversational Home -- 4.4.1.The Butler Economy---Convenience Beats Branding -- 4.4.2.Development of the Personal Assistant -- 4.5.Conversational Commerce and AI in the GAFA Platform Economy -- 4.6.Bots in the Scope of the CRM Systems of Companies -- 4.6.1."Spooky Bots"---Personalised Dialogues with the Deceased -- 4.7.Maturity Levels and Examples of Bots and AI Systems -- 4.7.1.Maturity Model -- 4.8.Conversational AI Playbook -- 4.8.1.Roadmap for Conversational AI -- 4.8.2.Platforms and Checklist -- 4.9.Conclusion and Outlook -- 4.9.1.E-commerce---The Deck Is Being Reshuffled: The Fight for the New E-commerce Eco System -- 4.9.2.Markets Are Becoming Conversations at Last -- References -- pt. IV AI Best and Next Practices -- 5.AI Best and Next Practices -- 5.1.Sales and Marketing Reloaded---Deep Learning Facilitates New Ways of Winning Customers and Markets -- 5.1.1.Sales and Marketing 2017 -- 5.1.2.Analogy of the Dating Platform -- 5.1.3.Profiling Companies -- 5.1.4.Firmographics -- 5.1.5.Topical Relevance -- 5.1.6.Digitality of Companies -- 5.1.7.Economic Key Indicators -- 5.1.8.Lead Prediction -- 5.1.9.Prediction Per Deep Learning -- 5.1.10.Random Forest Classifier -- 5.1.11.Timing the Addressing -- 5.1.12.Alerting -- 5.1.13.Real-World Use Cases -- 5.2.Digital Labor and What Needs to Be Considered from a Costumer Perspective -- 5.2.1.Acceptance of Digital Labor -- 5.2.2.Trust Is the Key -- 5.2.3.Customer Service Based on Digital Labor Must Be Fun -- 5.2.4.Personal Conversations on Every Channel or Device -- 5.2.5.Utility Is a Key Success Factor -- 5.2.6.Messaging Is Not the Reason to Interact with Digital Labor -- 5.2.7.Digital Labor Platform Blueprint -- 3.3.Artificial Intelligence and Big Data in Customer Service -- 5.3.1.Modified Parameters in Customer Service -- 5.3.2.Voice Identification and Voice Analytics -- 5.3.3.Chatbots and Conversational UI -- 5.3.4.Predictive Maintenance and the Avoidance of Service Issues -- 5.3.5.Conclusion: Developments in Customer Service Based on Big Data and AI -- 5.4.Customer Engagement with Chatbots and Collaboration Bots: Methods, Chances and Risks of the Use of Bots in Service and Marketing -- 5.4.1.Relevance and Potential of Bots for Customer Engagement -- 5.4.2.Overview and Systemisation of Fields of Use -- 5.4.3.Abilities and Stages of Development of Bots -- 5.4.4.Some Examples of Bots That Were Already Used at the End of 2016 -- 5.4.5.Proactive Engagement Through a Combination of Listening and Bots -- 5.4.6.Cooperation Between Man and Machine -- 5.4.7.Planning and Rollout of Bots in Marketing and Customer Service -- 5.4.8.Factors of Success for the Introduction of Bots -- 5.4.9.Usability and Ability to Automate -- 5.4.10.Monitoring and Intervention -- 5.4.11.Brand and Target Group -- 5.4.12.Conclusion -- 5.5.The Bot Revolution Is Changing Content Marketing--- Algorithms and AI for Generating and Distributing Content -- 5.5.1.Robot Journalism Is Becoming Creative -- 5.5.2.More Relevance in Content Marketing Through AI -- 5.5.3.Is a Journalist's Job Disappearing? -- 5.5.4.The Messengers Take Over the Content -- 5.5.5.The Bot Revolution Has Announced Itself -- 5.5.6.A Huge Amount of Content Will Be Produced -- 5.5.7.Brands Have to Offer Their Content on the Platforms -- 5.5.8.Platforms Are Replacing the Free Internet -- 5.5.9.Forget Apps---The Bots Are Coming! -- 5.5.10.Competition Around the User's Attention Is High -- 5.5.11.Bots Are Replacing Apps in Many Ways -- 5.5.12.Companies and Customers Will Face Each Other in the Messenger in the Future -- 5.5.13.How Bots Change Content Marketing -- 5.5.14.Examples of News Bots -- 5.5.15.Acceptance of Chat Bots Is Still Controversial -- 5.5.16.Alexa and Google Assistant: Voice Content Will Assert Itself -- 5.5.17.Content Marketing Always Has to Align with Something New -- 5.5.18.Content Marketing Officers Should Thus Today Prepare Themselves for a World in Which ... -- 5.6.Chatbots: Testing New Grounds with a Pinch of Pixie Dust? -- 5.6.1.Rogue One: A Star Wars Story---Creating an Immersive Experience -- 5.6.2.Xmas Shopping: Providing Service and Comfort to Shoppers with Disney Fun -- 5.6.3.Do You See Us? -- 5.6.4.Customer Services, Faster Ways to Answer Consumers' Request -- 5.6.5.A Promising Future -- 5.6.6.Three Takeaways to Work on When Creating YourChatbot -- 5.7.Alexa Becomes Relaxa at an Insurance Company -- 5.7.1.Introduction: The Health Care Market---The Next Victim of Disruption? -- 5.7.2.The New Way of Digital Communication: Speaking -- 5.7.3.Choice of the Channel for a First Case -- 5.7.4.The Development of the Skill "TK Smart Relax" -- 5.7.5.Communication of the Skill -- 5.7.6.Target Achievement -- 5.7.7.Factors of Success and Learnings -- 5.8.The Future of Media Planning -- 5.8.1.Current Situation -- 5.8.2.Software Eats the World -- 5.8.3.New Possibilities for Strategic Media Planning -- 5.8.4.Media Mix Modelling Approach -- 5.8.5.Giant Leap in Modelling -- 5.8.6.Conclusion -- 5.9.Corporate Security: Social Listening, Disinformation and Fake News -- 5.9.1.Introduction: Developments in the Process of Early Recognition -- 5.9.2.The New Threat: The Use of Bots for Purposes of Disinformation -- 5.9.3.The Challenge: "Unkown Unknowns" -- 5.9.4.The Solution Approach: GALAXY---Grasping the Power of Weak Signals -- 5.10.Next Best Action---Recommender Systems Next Level -- 5.10.1.Real-Time Analytics in Retail -- 5.10.2.Recommender Systems -- 5.10.3.Reinforcement Learning -- 5.10.4.Reinforcement Learning for Recommendations -- 5.10.5.Summary -- 5.11.How Artificial Intelligence and Chatbots Impact the Music Industry and Change Consumer Interaction with Artists and Music Labels -- 5.11.1.The Music Industry -- 5.11.2.Conversational Marketing and Commerce -- 5.11.3.Data Protection in the Music Industry -- 5.11.4.Outlook into the Future -- References -- pt. V Conclusion and Outlook: Algorithmic Business---Quo Vadis? -- 6.Conclusion and Outlook: Algorithmic Business---Quo Vadis? -- 6.1.Super Intelligence: Computers Are Taking Over---Realistic Scenario or Science Fiction? -- 6.1.1.Will Systems Someday Reach or Even Surmount the Level of Human Intelligence? -- 6.2.AI: The Top 11 Trends of 2018 and Beyond -- 6.3.Implications for Companies and Society
Dimensions
unknown
Extent
1 online resource.
File format
unknown
Form of item
online
Isbn
9783319899572
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Quality assurance targets
not applicable
Reformatting quality
unknown
Reproduction note
Electronic reproduction.
Sound
unknown sound
Specific material designation
remote
Stock number
99979172834
System control number
(NhCcYBP)15801374

Library Locations

  • African Studies LibraryBorrow it
    771 Commonwealth Avenue, 6th Floor, Boston, MA, 02215, US
    42.350723 -71.108227
  • Alumni Medical LibraryBorrow it
    72 East Concord Street, Boston, MA, 02118, US
    42.336388 -71.072393
  • Astronomy LibraryBorrow it
    725 Commonwealth Avenue, 6th Floor, Boston, MA, 02445, US
    42.350259 -71.105717
  • Fineman and Pappas Law LibrariesBorrow it
    765 Commonwealth Avenue, Boston, MA, 02215, US
    42.350979 -71.107023
  • Frederick S. Pardee Management LibraryBorrow it
    595 Commonwealth Avenue, Boston, MA, 02215, US
    42.349626 -71.099547
  • Howard Gotlieb Archival Research CenterBorrow it
    771 Commonwealth Avenue, 5th Floor, Boston, MA, 02215, US
    42.350723 -71.108227
  • Mugar Memorial LibraryBorrow it
    771 Commonwealth Avenue, Boston, MA, 02215, US
    42.350723 -71.108227
  • Music LibraryBorrow it
    771 Commonwealth Avenue, 2nd Floor, Boston, MA, 02215, US
    42.350723 -71.108227
  • Pikering Educational Resources LibraryBorrow it
    2 Silber Way, Boston, MA, 02215, US
    42.349804 -71.101425
  • School of Theology LibraryBorrow it
    745 Commonwealth Avenue, 2nd Floor, Boston, MA, 02215, US
    42.350494 -71.107235
  • Science & Engineering LibraryBorrow it
    38 Cummington Mall, Boston, MA, 02215, US
    42.348472 -71.102257
  • Stone Science LibraryBorrow it
    675 Commonwealth Avenue, Boston, MA, 02445, US
    42.350103 -71.103784
Processing Feedback ...