Across the Customer Journey: Role of Generative AI in Marketing
The newsletter has 6 sections: AI News Wrap, The Must Read, Quick Tips and Tricks, Playtime, Career Development Corner, and Hear It From an Expert

Across the Customer Journey: Role of Generative AI in Marketing

Welcome to Data Science Dojo's weekly newsletter, "The Data-Driven Dispatch".

How to Convert the Art of Marketing into a Science?

Marketing has undergone a significant transformation in recent decades, shifting from mass marketing techniques to personalized strategies. Cross-selling, up-selling, and laser-focused ads now reign supreme. Yet, as marketers walk the fine line of personalization, a burning question stays: How far can we truly customize?

Enter generative AI, the game-changer. With its automation and analytical power, it transforms campaigns into precision tools, pushing the boundaries of what's possible.

By 2028, AI in the marketing market is projected to reach $107.5 billion, underlining the significance of this technology in the industry.

Let's explore this exciting frontier!

A breakdown of AI news you can't miss.

Generative AI is making remarkable strides. Did you know:

  • OpenAI's ChatGPT Will 'See, Hear and Speak' in Major Update: OpenAI is introducing voice and image capabilities to ChatGPT. Users can now engage in dynamic voice conversations and analyze images, with initial access for Plus and Enterprise users. Read more
  • Senators and Tech CEOs Push for AI Regulation: At the AI Insight Forum, Senators stressed AI regulation urgency, and tech CEOs like Elon Musk, Bill Gates, Sundar Pichai, Mark Zuckerberg, and Sam Altman supported Washington's AI governance role. Despite other legislative priorities, the closed-door meeting reinforced the call for government intervention in AI. Read more
  • Google Nears Release of Gemini AI to Challenge OpenAI: Google has granted early access to a selected group of companies for its Large Language Model called Gemini, aimed at competing with OpenAI's GPT-4 model. While Google is currently offering access to a sizable version of Gemini, a larger version is in development. It plans to provide access to Gemini through its Google Cloud Vertex AI service. Read more

Compilation of informational blogs, articles, and papers.

Generative AI promises to reshape various aspects of marketing. Here are some areas that will thrive using generative AI.

The ability of generative AI to process and analyze huge amounts of data allows it to:

  • Excel over traditional AI-driven lead identification and targeting by using advanced algorithms to efficiently analyze and target high-quality leads.
  • Optimize marketing through A/B testing and automate lead nurturing campaigns based on customer patterns.
  • Offer continuous support in the sales process by generating personalized content, assisting with follow-up emails, and chatbot support.
  • Identify critical customer touchpoints through dynamic customer journey mapping.

Explore More on How Can You Foster AI-driven Personalization in Marketing:

The Business Case for Generative AI in Marketing

The adoption of generative AI in marketing is on the rise. 90% of commercial leaders expect frequent use of generative AI solutions in the next two years, yielding substantial revenue and sales ROI uplifts.

Moreover, successful companies tend to have a clear vision, and more than 20% of their digital budgets are invested in AI-related technologies.

Reference: McKinsey & Company

Want to learn more about AI??Our?blog?is the go-to source for the latest tech news.

Information that will make your life easier.

Are you curious about what tools you can use to incorporate generative AI in your marketing activities? Here's a quick guide.

Pro-tip: Use prompt engineering techniques to get the best output from the AI tools you use.

For more updates on generative AI and AI-powered tools, follow us on Instagram.

Time for a quick break.

Time to take a quick break from the information overload. Let us infuse some humor into the conversation while we step ahead.

A resource hub for career growth and skill-building.

Generative AI's economic potential is immense, and it's poised to redefine our lives. Mastering large language models and exploring the diverse domains within them is key to harnessing this technology effectively.

1) Gaining Proficiency in Large Language Models:

There are 9 essential domains that you need to master to become an expert in LLMs. These include generative AI, embeddings, vector databases, prompt engineering, semantic search, orchestration frameworks, agents, fine-tuning, and LLMOps.

Data Science Dojo's LLM Bootcamp offers a comprehensive learning experience, covering all essential domains in its 40-hour intensive training.

Large Language Model Bootcamp by Data Science Dojo

If you're interested to learn more about the curriculum of the bootcamp, visit our website now!

2) Level Up with Generative AI:

We invite you to attend this live tutorial by M. Ebad Ullah. It is a great chance to learn how to seamlessly integrate generative AI into your PowerPoint presentations using StreamLit.

Interested to attend the session? Go ahead and book yourself a slot now!

Live sessions and tutorial recommendations from experts.

Generative AI isn't just theoretical; it's transforming industries. A South Asian fashion brand "LAAM", for instance, harnessed generative AI to enhance product understanding, catalog tagging, personalized feeds, search optimization, design innovation, and production and inventory forecasting.

For a deeper dive into generative AI, visit our YouTube channel for tutorials and insights.


??We trust that you had a delightful and enriching experience with us this week, leaving you more knowledgeable than before! ??

?If you wish to use Python effectively for data analysis, check out our Python for Data Science Bootcamp.

? Don't forget to join?Data Science Dojo's Community?and stay tuned to our ongoing events all the time.

Until we meet again, take care!

Md. Shah Jahan

Network business

1 年

AL is now a personal appliance in favor of human manner

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