Ai Models In Digital Marketing Business 
Published 4/2024 
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz 
Language: English

| Size: 4.94 GB[/align]
| Duration: 8h 24m 
A powerful tool for efficiency and effectiveness

[b]What you'll learn[/b]

Learn about the concept, characteristics, development history, working principle, application fields and innovation possibilities of AI large models

Understand the value and challenges of AI models in digital marketing business

Learn how to leverage AI models to optimize your digital marketing business

Understand the advantages, application scenarios, and methods of intelligent marketing.

[b]Requirements[/b]

There is a certain basic knowledge of artificial intelligence and digital marketing, such as the basic concepts of artificial intelligence, the basic process of digital marketing, and commonly used data analysis and visualization tools

No in-depth expertise in AI or digital marketing is required

[b]Description[/b]

In today's digital age, marketing business faces unprecedented challenges and opportunities. With the popularity of the Internet and the development of mobile devices, consumer behavior and demand become more diverse and complex, and also generate massive data and information. How to effectively use these data and information, improve marketing efficiency and effectiveness, create more value and revenue, is every product manager and operator must think and solve the problem. Artificial intelligence, as a technology that can simulate and extend human intelligence, provides new ideas and methods for marketing business. Especially in recent years, an important branch of artificial intelligence - artificial intelligence large model, caused widespread attention and discussion. Artificial intelligence large model, refers to those with ultra-large-scale parameters and data of artificial intelligence model, they can in multiple domains and tasks show amazing performance and ability, even beyond the human level. Artificial intelligence large model, has achieved remarkable results in language, vision, audio, games and other fields, but also for digital marketing business brings new opportunities and challenges. So, what is artificial intelligence large model? How do they work? How do they change digital marketing business? What are their advantages and disadvantages? How will they affect the future of intelligent marketing? As product managers and operators, how should we understand and use artificial intelligence large model, to optimize our products and business? These questions, are the content of this course to explore and answer.

Overview

Section 1: Introduction to Large Models: Understanding the Heart of AI

Lecture 1 Characteristics of large AI models

Lecture 2 Several typical types of large AI models

Section 2: A Historical Review of the AI Model: How It's Changing the Digital Marketing

Lecture 3 Embryonic period (1950-2005)

Lecture 4 Exploratory precipitation period (2006-2019)

Lecture 5 Rapid development period (2020 to present)

Section 3: Decoding the Big Picture: The Future of Intelligent Marketing

Lecture 6 Decoding the Big Picture: The Future of Intelligent Marketing

Section 4: AI models: the evolution from assistants to collaborators

Lecture 7 Copilot mode

Lecture 8 Embedding mode

Lecture 9 Agent mode

Lecture 10 The architecture of the agent pattern

Lecture 11 The operation process of the agent model of the large artificial intellige

Lecture 12 The application of artificial intelligence large model agent model

Lecture 13 Comparison and advantages of the agent pattern versus the embedded mode

Section 5: AI models: pros and cons in marketing

Lecture 14 AI models: pros and cons in marketing

Section 6: Intelligent Marketing: The Revolution of AI Models

Lecture 15 Content generation: Generate marketing copy, slogans, etc. through large m

Lecture 16 User portraits: Analyze user data through large models to build user portr

Lecture 17 Marketing strategy: Analyze market trends through large models and formula

Lecture 18 Effectiveness evaluation: Evaluate the effectiveness of marketing activities

Product managers, operators, marketers, entrepreneurs, etc. who are interested in artificial intelligence and digital marketing,Other stakeholders who want to understand and leverage the AI model

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