AI-Driven Personalization: Modern Business Leader's Guide
AI-Driven Personalization: Modern Business Leader's Guide, available at $44.99, has an average rating of 4.8, with 37 lectures, 8 quizzes, based on 10 reviews, and has 38 subscribers.
You will learn about The concept of one-to-one marketing and personalization at scale. The importance of personalization in modern businesses. The role of algorithms in personalization systems. The use of diverse data sources, including explicit, implicit, and contextual data. Measuring benefits and business value of personalization. Practical challenges faced when implementing AI-Driven personalization The algorithms: Collaborative filtering (user-based and item-based). Content-based filtering. Technologies required for implementing real-time personalization. Use of behavioral targeting, contextual personalization, dynamic pricing, search result reordering, and in-session messaging in real-time environments. Addressing technical and performance challenges in real-time personalization. Strategies for data collection, user consent, data usage, sharing practices, retention policies, and user control. Technical measures like encryption, access control, data segmentation, and API security to protect user data. Key takeaways from successful AI-driven personalization by companies like Netflix, Amazon, and Spotify. Strategies to scale personalization effectively. How to start small and progressively improve personalization efforts. Balancing innovation with privacy and data protection to build trust and value for customers. This course is ideal for individuals who are CEOs, CTOs, CMOs, and other C-suite executives who want to understand the strategic value of AI-driven personalization and how it can transform their business operations and customer engagement. or Professionals responsible for crafting and executing marketing strategies who wish to incorporate AI-driven personalization to improve customer targeting, engagement, and conversion rates. or Managers overseeing product development and user experience who need to understand how to integrate personalization features into their products. or Individuals managing online stores who want to optimize their platforms using AI-driven personalization to improve shopping experiences and increase sales. or Managers responsible for implementing and maintaining the technological infrastructure that supports AI-driven personalization solutions. or Business consultants and advisors who guide organizations on digital transformation and the adoption of AI technologies. or Founders and business owners of startups and SMEs who are looking to adopt advanced personalization techniques to compete with larger, established players. It is particularly useful for CEOs, CTOs, CMOs, and other C-suite executives who want to understand the strategic value of AI-driven personalization and how it can transform their business operations and customer engagement. or Professionals responsible for crafting and executing marketing strategies who wish to incorporate AI-driven personalization to improve customer targeting, engagement, and conversion rates. or Managers overseeing product development and user experience who need to understand how to integrate personalization features into their products. or Individuals managing online stores who want to optimize their platforms using AI-driven personalization to improve shopping experiences and increase sales. or Managers responsible for implementing and maintaining the technological infrastructure that supports AI-driven personalization solutions. or Business consultants and advisors who guide organizations on digital transformation and the adoption of AI technologies. or Founders and business owners of startups and SMEs who are looking to adopt advanced personalization techniques to compete with larger, established players.
Enroll now: AI-Driven Personalization: Modern Business Leader's Guide
Summary
Title: AI-Driven Personalization: Modern Business Leader's Guide
Price: $44.99
Average Rating: 4.8
Number of Lectures: 37
Number of Quizzes: 8
Number of Published Lectures: 37
Number of Published Quizzes: 8
Number of Curriculum Items: 45
Number of Published Curriculum Objects: 45
Original Price: $39.99
Quality Status: approved
Status: Live
What You Will Learn
- The concept of one-to-one marketing and personalization at scale.
- The importance of personalization in modern businesses.
- The role of algorithms in personalization systems.
- The use of diverse data sources, including explicit, implicit, and contextual data.
- Measuring benefits and business value of personalization.
- Practical challenges faced when implementing AI-Driven personalization
- The algorithms: Collaborative filtering (user-based and item-based). Content-based filtering.
- Technologies required for implementing real-time personalization.
- Use of behavioral targeting, contextual personalization, dynamic pricing, search result reordering, and in-session messaging in real-time environments.
- Addressing technical and performance challenges in real-time personalization.
- Strategies for data collection, user consent, data usage, sharing practices, retention policies, and user control.
- Technical measures like encryption, access control, data segmentation, and API security to protect user data.
- Key takeaways from successful AI-driven personalization by companies like Netflix, Amazon, and Spotify.
- Strategies to scale personalization effectively.
- How to start small and progressively improve personalization efforts.
- Balancing innovation with privacy and data protection to build trust and value for customers.
Who Should Attend
- CEOs, CTOs, CMOs, and other C-suite executives who want to understand the strategic value of AI-driven personalization and how it can transform their business operations and customer engagement.
- Professionals responsible for crafting and executing marketing strategies who wish to incorporate AI-driven personalization to improve customer targeting, engagement, and conversion rates.
- Managers overseeing product development and user experience who need to understand how to integrate personalization features into their products.
- Individuals managing online stores who want to optimize their platforms using AI-driven personalization to improve shopping experiences and increase sales.
- Managers responsible for implementing and maintaining the technological infrastructure that supports AI-driven personalization solutions.
- Business consultants and advisors who guide organizations on digital transformation and the adoption of AI technologies.
- Founders and business owners of startups and SMEs who are looking to adopt advanced personalization techniques to compete with larger, established players.
Target Audiences
- CEOs, CTOs, CMOs, and other C-suite executives who want to understand the strategic value of AI-driven personalization and how it can transform their business operations and customer engagement.
- Professionals responsible for crafting and executing marketing strategies who wish to incorporate AI-driven personalization to improve customer targeting, engagement, and conversion rates.
- Managers overseeing product development and user experience who need to understand how to integrate personalization features into their products.
- Individuals managing online stores who want to optimize their platforms using AI-driven personalization to improve shopping experiences and increase sales.
- Managers responsible for implementing and maintaining the technological infrastructure that supports AI-driven personalization solutions.
- Business consultants and advisors who guide organizations on digital transformation and the adoption of AI technologies.
- Founders and business owners of startups and SMEs who are looking to adopt advanced personalization techniques to compete with larger, established players.
This course provides a peek into the growing significance and implementation of AI-driven personalization in modern businesses. As consumers increasingly expect tailored experiences similar to those offered by giants like Netflix, Amazon, and Spotify, understanding and implementing AI-driven personalization has never been more important for business leaders.
You’ll learn the core characteristics of AI-driven personalization, including
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how algorithms predict user preferences
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the importance of tailored and context-specific content
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the types of data that empower these systems—behavioral, demographic, and contextual data
We will explore essential algorithms like collaborative filtering and content-based filtering, providing actionable insights into their strengths and limitations.
We define AI-driven personalization as using algorithms to customize experiences based on user data and preferences.
Highlights its key benefits such as:
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Improved customer engagement, experience, and satisfaction
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Higher conversion rates
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Stronger customer loyalty
Additionally, it discusses the strategies employed by major companies like Amazon, Netflix, and Spotify, including real-time recommendations and personalized content.
The course also tackles the challenges, such as data privacy concerns, data quality, and the technical complexities of scaling personalization.
It underscores the importance of maintaining high data quality, using modern systems, and adopting a holistic, iterative approach to succeed in AI-driven personalization.
It provides practical insights for personalized email campaigns, homepages, cross-selling, upselling, and creating scalable, omnichannel personalization strategies.
Join now to understand the use of artificial intelligence and transform your customer interaction into a dynamic, personalized journey that stands out in competitive business environment.
Course Curriculum
Chapter 1: Introduction to AI-Driven Personalization
Lecture 1: Welcome!
Lecture 2: Glossary of Terms
Lecture 3: Download the Slides
Lecture 4: What is AI-Driven Personalization?
Chapter 2: The Key Elements of Personalization
Lecture 1: Characteristics of AI-Driven Personalization
Chapter 3: Benefits and Value Proposition
Lecture 1: The Impact of Personalization on Customer Experience
Lecture 2: The Challenges of Personalization
Lecture 3: A User Journey
Lecture 4: Personalization Summary
Lecture 5: Share your progress
Chapter 4: Data Utilization in Personalization
Lecture 1: Types of Data Used in Personalization
Lecture 2: Behavioral Data
Lecture 3: Demographic Data
Lecture 4: Contextual Data
Lecture 5: Data Recap
Chapter 5: Algorithms and Techniques
Lecture 1: Algorithms for Personalization
Lecture 2: Collaborative Filtering in Personalization
Lecture 3: Content-Based Filtering in Personalization
Lecture 4: Hybrid Approaches and Real-World Applications
Lecture 5: Share your progress
Chapter 6: Real-Time Personalization
Lecture 1: What is Real-Time Personalization?
Lecture 2: Implementing Real-Time Personalization
Lecture 3: Addressing Technical and Performance Challenges
Chapter 7: Privacy and Data Protection
Lecture 1: Strategies for Privacy-First Personalization
Lecture 2: Technical Measures for Data Protection
Lecture 3: Share your progress
Chapter 8: Case Studies
Lecture 1: Case Study: Netflix
Lecture 2: Case Study: Amazon
Lecture 3: Case Study: Spotify
Lecture 4: Common Elements of Success
Chapter 9: Scaling Personalization Efforts
Lecture 1: Challenges in Scaling Personalization
Lecture 2: Balancing Automation and Human Oversight
Lecture 3: Omnichannel Personalization Strategies
Lecture 4: Content Generation at Scale
Lecture 5: Share your progress
Chapter 10: NEXT STEPS and THANK YOU!
Lecture 1: Starting Small and Scaling Up
Lecture 2: You Completed the Course!
Instructors
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Mayank K.
Data Science Educator -
BUSINESS x DATA
Data Management, Analytics, AI Innovation
Rating Distribution
- 1 stars: 0 votes
- 2 stars: 0 votes
- 3 stars: 1 votes
- 4 stars: 1 votes
- 5 stars: 8 votes
Frequently Asked Questions
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