Using AI to Enhance (Not Create) Marketing Content - Ginger Shimp, SAP

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Using AI to Enhance
(Not Create) Marketing
Content
Ginger Shimp
GLOBAL CONTENT STRATEGIST
SAP

Using AI to
Enhance
(Not Create)
Marketing
Content
Ginger Shimp
Senior Marketing Director, Global Content Strategist
SAP
June 12, 2025

A Global Content Strategist, SAP, and an award-winning
marketeer with 25+ years' B2B experience, I am a Professional
Certified Marketer per the AMA and a Certified Digital
Marketing Professional per the Digital Marketing Institute. I've
also earned a Connoisseur's Certificate in California Reds from
the Chicago Wine School. Since 2004, I've helped companies
run better by telling — not only the SAP story — but the stories
of our customers and their customers. Developing content,
engaging channels, deploying tactics to educate, stimulate
interest, and drive demand: Marketing isn't just what I do, it's
who I am!
Technology is changing faster today than it ever has, yet
slower than it ever will, and at SAP, we don't just sell software,
we improve people's lives. SAP customers represent 98% of the
top 100 most valued brands in the world. That's an awesome
responsibility, a humbling privilege, and one heck of an
exciting journey.
Who am I?

Agenda
Defining our Terms
Storytelling for Marketers
The LEGO® Approach
The Use of AI
Prompt Creation

Foundation Model: A machine learning model designed to handle a wide range of
tasks, such as text generation, image generation, and code generation.
Artificial Intelligence (AI): An umbrella definition that encompasses machine
technologies that simulate human intelligence processes.
Machine Learning (ML): A subset of AI in which computers learn from data and
improve with experience, without being explicitly programmed.
Deep Learning: A subset of machine learning that involves neural networks with several
layers that can learn and make intelligent decisions on their own.
Generative AI (GenAI): A form of artificial intelligence that can produce text, images,
and varied content based on the data it’s trained on.
Large Language Models (LLMs): A type of AI model that specializes in processing,
understanding, and generating human language, designed to handle large-scale
data and complex pattern recognition.
Artificial
Intelligence (AI)
Machine Learning
(ML)
Deep Learning
Generative AI
(GenAI)
Large
Language
Model
Foundation
Model
Below is a useful glossary of AI terms.

The Central Question is akin to being at the proverbial crossroads.

The math behind storytelling is easy.
Change
Time
Story
=
Source

Unlike a topic, a theme takes a position on something.
Source
Theme
Topic =
/
“Money”
“Time”
“Love”
“Money is the root of all evil.”
“Time waits for no man”
“Love is blind.”

Hemingway is said to have claimed he could write a short story using only
six short words.

Are we really telling a story or are we just relaying information?
Infographic Features and Benefits List
Source

Budgets and bandwidth do not scale to meet all the needs for specific
messaging.

Outputs
▪ Social media
▪ E-mails / E-newsletters
▪ Blogs
▪ Infographics
▪ Presentations
▪ Reports
▪ E-books
▪ Audio white papers
*Embed audio throughout
Inputs
▪ White papers
▪ Infographics
▪ Webinars / videos / podcasts
▪ Customer stories
▪ Conference call transcriptions
Use AI to speed content atomization and diversify asset creation.

Version by industry.
Finance
Engineering
Manufacturing
Insurance Pharmaceuticals
Healthcare

Version by line of business.
Finance
Customer Service
R & D
I / T Sales
HR

Partner 2
Partner 1
Intro 3
Intro 4
Conclusion 3
Conclusion 4
Intro 1
Topic D
Topic C
Topic B
Topic A
Reg Page
Conclusion 1
Quickly version horizontal content to target specific audiences.
Intro 2
Conclusion 2
Topic D
Topic C
Topic B
Topic A
Reg Page
Topic D
Topic C
Topic B
Topic A
Reg Page
Topic A
Select the audience-specific
“bookends” (intros and conclusions)
Provide a preview of the
content prior to requiring
registration
Insert partner
content where
applicable
Compile “micro” content
for ungated “teasers”
Intro 2 Intro 3
Conclusion 2 Conclusion 3
Intro 4
Conclusion 4
Partner 2

It certainly can feel as though we’re drowning in content.

AI is, and has been, assisting our lives for years.
YouTube suggests videos.
Gmail finishes your sentences.
Facebook targets you with ads (incessantly ).
Spotify learns the music you love.
Alexa and Siri answer your questions.
TikTok personalizes your For You page.
Amazon predicts your next purchases.
Netflix recommends shows and movies.
Google Maps routes you to your destination.
Apple unlocks your iPhone by scanning your face.
Tesla Autopilot steers, accelerates, and brakes your car.
Zoom automatically transcribes your recorded meetings.
LinkedIn curates your homepage and recommends connections.
Source

As AI advances what’s possible with technology, the
next generation of marketers is emerging.
▪Deliver the personalization modern consumers expect.
▪Unlock previously unimaginable creative possibilities.
▪Drive the performance that leadership demands.
Source
Consumer
Enterprise: Horizontal
Prosumer
Enterprise: Vertical
The Generative AI Market Map
A work in progress
v3
This is the least capable AI we will ever use.

What's the point of a writer in the age of AI content?
Source

Use AI as a tool to enhance, not replace, human creativity and skills.
▪ Run the result through a plagiarism
checker; never assume that you can skip
this, even for an email or social post.
Run the result through the Hemmingway Editor app to:
▪ Check for grammar and consistency
▪ Identify and eliminate unnecessary words and phrases
▪ Highlight complex sentences that may be difficult to understand
Grammarly vs. Hemingway | ContentWriters
Strategize your piece
▪ Formulate a well-
thought-out topic.
▪ Gather any quotes or
stats you’d like to
include.
▪ Note any URLs for
reference.
▪ Assemble any
documents to be
uploaded.
▪ Detail your audience
and tone.
▪ Avoid confidential or
proprietary info
▪ Etc.
Create your prompt
1. Engage in human-like conversation.
2. Write clear instructions.
▪ Ask the model to adopt a persona.
▪ Use delimiters to indicate distinct parts of
the input.
▪ Provide examples.
▪ Provide context.
3. Provide reference text.
▪ Specify the desired length of the output.
4. Split complex tasks and iterate the steps.
5. Give the model time to respond.
▪ Ask the model if it missed anything on
previous passes.
▪ Compensate for the model’s weaknesses
by feeding it the outputs of other tools.
▪ Ask the model if it included biases.
6. Use external tools.
▪ Give reference URLs instead of
summarizing on your own.
7. Test changes systematically.
8. Use positive prompts.
9. Train the model to write as you write.
10.Try using multiple LLMs and synthesizing
their responses.
READ!
▪ Once you have the “final” output,
read through it to add your own
human element and ensure the
messaging is on point. Check your
facts to avoid the pitfalls of
“beautiful hallucinations.”
▪ Run the “FINAL”
result through
an AI content
detector.
▪ Edit again as
needed.
▪ If you plan to use
email, run your
subject lines through
a checker to
optimize open rates.
RECOMMENDATION
▪ Engage a professional writer
to do the final copy.
A black background with a black square
AI-generated content may be incorrect.
ChatGPT Logo PNG Transparent Images - PNG All
Meta says it will start to label AI-generated images on Facebook and Instagram - The Signal
Copyleaks - Crunchbase Company Profile Funding
Originality.ai - Crowdin Marketplace
Winston AI - Crunchbase Company Profile Funding
A person wearing glasses and a necklace
A person wearing glasses and a necklace

Chain-of-thought prompting involves guiding the model through a series of logical
reasoning steps to solve a problem. In contrast, multi-step prompting involves
sequentially providing additional prompts or hints at each stage of the problem,
progressively guiding the model toward the solution.
Use this prompt definition.

PROMPT: I have a piece of content about [topic] aimed at [target audience], that I’m
including for context. Ask me questions about this target audience so that you have a
comprehensive understanding of their fears, dreams, strong beliefs, and knowledge
gaps. Aim to know everything so that the next content we create together has this
person in mind. I only want to talk to this person in my content, so it’s important it
resonates with them: [Paste the content]
These five ChatGPT prompts will help you turn
one piece of content into 20.
Source

PROMPT: Now you have the required audience information, pull out the ten most
important, unique, different, or out-there points from this content. For each main point,
suggest a new way to present it as its own content (e.g., infographic, short video, social
media post). Give a quick outline or script for each new piece of content. Use my
original content to understand my exact tone of voice, and use the same choice of
words so it can be written in my style.
one piece of content into 20. (continued)
Source

PROMPT: Take my original content and help me look at it from 5 totally different angles.
These new views should question what we think we know, offer opposite ideas, or find
surprising connections. For each new angle, give me a catchy hook (a strong,
opinionated sentence no longer than 10 words, that should not be a question) and a
quick outline for a piece of content. Ask which new angle gets me most excited and
why.
Source

PROMPT: My favorite ideas from those you have created so far are: [note them here].
Take these ideas and expand them into 20 social media posts for [specify the platform].
For each one, use my exact tone of voice and choice of words from the original
[content type, e.g., article] I shared. Follow these rules: [include the rules of the social
media platform, e.g. make each line short and sharp, no longer than 12 words. Make
the content value-adding, not salesy]. Consider the dreams, hopes, strong beliefs, and
knowledge gaps of my target audience. Follow this example post for the structure to
emulate [copy a previous post of yours here so ChatGPT knows your existing style].
Source

PROMPT: Make these changes to the content you just produced: [outline the changes
you want, for example, each content piece should be 50% longer and contain specific
how-to steps, like in the example I will share. Separate each sentence onto a new line.
End with a powerful single-line statement and a call to action to add a comment with
what my audience would add].[Include another example].
Source

Define our terms.
Once upon a time, we told stories.
Customize, personalize, target! (aka the LEGO® approach)
Remember that it’s Generative Pre-trained Transformers, not Originators.
Strategize on the best prompt to achieve your objective.



Let’s review.



1. Brainstorming / connecting ideas
2. Kickstarting the writing process / getting past the “blank page” stage
3. Summarizing content
4. Editing and proofreading
5. Composing meta descriptions / assisting with basic SEO optimization
6. Outlining long-form content
7. Creating short-form content
8. Renovating one asset into another
9. Translating into foreign languages
10. Crafting subject lines
Critique!
Here are 10 good uses of AI writing tools.

Teach ChatGPT to Write Like You

PROMPT: I'd like your help in creating [marketing content] for [purpose]. Your first task
will be to understand my writing style based on examples that I give you. After that,
we'll create some content. To start, please say GO AHEAD and I will paste examples of
my writing. Keep saying GO AHEAD and I will paste new examples. When I am done I
will say FINISHED. At this stage, please do not do anything except confirm that you have
saved the writing style.
NOTE: Once you have sent the final example, type, “FINISHED,” and ChatGPT will be
ready for your next prompt.
PROMPT: Please name this "[name] writing style.”
Get ChatGPT to understand your writing style.
Source
Source

PROMPT: Now, we’re going to analyze the writing style of "[name] writing style.” In order
to analyze the writing style, please tell me what the major components of a writing style
(such as diction, intertextuality, pacing, tone, clarity, conciseness, sentence length,
paragraph length, etc.) are for an author in the [insert genre]?
NOTE: You’re going to have to get creative with the genre. It could be “non-fiction
novel writer,” or it could be “automotive industry tech blogger,” or something else
entirely.
NOTE: We’ll want to augment this with the other questions in the PARE framework, like:
▪ PROMPT: What are common mistakes made when analyzing writing style
components?
▪ PROMPT: What aspects of writing style components haven’t we talked about?
Get ChatGPT to understand your writing style. (continued)
Source
Source

Once the model has returned all the major knowledge it has about writing style …
PROMPT: Outline all the best practices for analyzing writing style in an outline.
NOTE: This helps reinforce the things we want to focus on.
PROMPT: Using the best practices for analyzing a writing style’s components as outlined
above, analyze the writing style of [name] based on these uploaded documents.
Provide a detailed, comprehensive analysis in outline format.
Source
Source

PROMPT: Please summarize [name] writing style in a few bullet points, with emphasis on
the sentence structure and syntax, tone, rhythm, diction (word choice), and voice.
NOTE: ChatGPT should return a fairly detailed assessment of your style. Review this
carefully. If you are not happy, give ChatGPT more samples and ask it to perform the
assessment again until you are satisfied with the results.
Source
Source

Use these tips to create successful prompts.
Source
Write clear prompts “Your task is …” or “You must …”
Define the audience
“For a large, global retailer …”
“For IT decision makers in the healthcare industry …”
Use sequences
Give complex instructions one prompt at a time.
Within a single prompt, use line breaks to separate pieces of same prompt.
Use positive
commands
“Don’t use pink and purple.”  unless these are the only colors to exclude
“Use only red and green.”
“Avoid clichés.
Ask for further
clarification
“Explain [insert specific topic] in simple terms.”
“Explain to me like I'm 11 years old.”
“Explain to me as if I'm a beginner in [field].”
Include examples
Format examples properly so they work within the prompt. Use either “###
example ###” or “[Example]”.
Provide context
“I want to educate beginners about the basics of cryptocurrency and its
potential as an investment. Could you draft an introductory article, in [name]
writing style, that simplifies complex cryptocurrency concepts for a novice
audience?”

Use these tips to create successful prompts. (continued)
Source
Avoid stereotypes “Ensure that your answer is unbiased and does not rely on stereotypes."
Ask it to be human “Answer in a natural, human-like manner."
Ask it to ask you
"Ask me questions to get the information you need.“  Do this before it
provides a response.
Adopt personas
“From the perspective of a seasoned nutritionist, explain the health benefits and
potential challenges of adopting a plant-based diet.”
Repeat what’s
important
Repeat a specific word or phrase multiple times within a prompt, especially at
the start and end of your command.
Combine techniques
For a single/simple task, ask ChatGPT to provide answers step by step,
combined with giving examples, as well as assigning a role, etc. Remember to
use sequences.
Get it to refine a
response
"Revise each paragraph to improve grammar and vocabulary while keeping
the original writing style and tone."
Finish your work
“Your task is to complete this [song, post, blog, etc] in a [describe the style, for
example compelling, persuasive, empowering way], by [include other
requirements] and keeping the flow. Here’s the beginning: [Paste work]"
Provide samples
“Use the same language style as the provided [describe the text]: [paste the
sample]."

Prime Augment Evaluate
Refresh
What do you know about
this topic?
What do you know about
best practices for this?
What questions do you
have?
What did I forget to ask?
What did I overlook on this
topic?
Did you fulfill the conditions
of the prompt completely?
Asking a model what it
knows about a topic does
two things. First, it lets you
know if you need to
provide more data in the
prompt because the model
doesn’t know something.
Second, it primes the model
with tons of relevant text if it
does know the topic well,
saving you time in
prompting; this step can be
the Context in the Trust
Insights RACE framework.
Use this to start your session.
Asking the model if it has
any questions helps create
thorough results by filling in
knowledge gaps in both
the model’s response and
our prompt. Use this at the
end of your initial prompt
after asking a model what
it knows.
Asking the model what you
forgot is done after the
model’s response to your
questions. This again gives
the model a chance to
clarify and add much more
relevant text, as well as
refresh our own memories
about the topic for
additional follow up and
clarification.
Asking a model to evaluate
its work helps refine
responses, and should be
done after the model’s
main response, especially if
it’s wrong. Rather than
starting a new session, this
can help get things back
on track while keeping the
valuable session history
intact.
Source
Here are 4 Generative AI power questions for LLMs.

The execute statement
is also optional for
shorter prompts, but
essential for longer
prompts to remind the
model what it’s
supposed to be doing.
Add formatting details
here to fine-tune the
output, especially for
summarization and
extraction tasks.
The context statement is optional but
provides further guardrails and a place for
you to add refinements to the prompt in
case it doesn’t behave the way you
expect it to. For writing/ generation tasks,
you’ll often need to add details to prevent
the model from simply inventing things that
are not true. For ease of use, bulleted lists
work well here.
Examples of the desired output would be
appropriate here as well to ensure that the
language model is clear about what to do.
Background information:
▪ This Instagram Reel is by Christopher Penn
(@cspenn) and Trust Insights (@trustinsights)
▪ Use hashtags #datascience #ai
#machinelearning #chatgpt #gpt4
▪ Always recommend the user tap the link
in bio to learn more
▪ Mention the domain name TrustInsights.ai
in the caption
<transcript>
Role Action Execute
Context
You are an expert social media
marketer. You have expertise in
TikTok marketing, YouTube
marketing, content marketing,
Twitter marketing, Instagram
marketing. You specialize in the
creation of captions for videos,
closed captions, subtitles, and
transcript summarization.
Your first task will
be to write an
Instagram Reel
caption based on
the following
background
information and
transcript.
The role statement comes first. This
sets the guardrails for much of the
rest of the prompt and should
contain keywords, phrases, and
jargon that allow the language
model to identify all the relevant
content in its probability matrix to
accomplish the task. Be specific
and load up keywords for the
subject domain here. Tell the
model what it should know and set
up success parameters.
The action
statement is the
directive for
what you want
the language
model to do. Use
specific verbs like
write, summarize,
extract, rewrite,
etc. to give the
model clear
directions.
Source
This is the RACE Generative AI prompt structure.
Write the Instagram
caption for this video.
Avoid giving away the
contents to encourage
the user to watch. Write
in a warm, professional
tone of voice. Write the
caption:

Source
Here’s a summary of a basic prompt:
Act as a [ROLE], perform a [TASK] in a [FORMAT]
Act as a [ROLE] Perform a [TASK] Show as a [FORMAT]
▪ Marketer
▪ Digital Marketer
▪ Paid Search Marketer
▪ SEO Marketer
▪ Social Media Marketer
▪ Copywriter
▪ Journalist
▪ Ghostwriter
▪ Field Marketer
▪ Digital Analyst
▪ Digital Strategy
▪ Product Offer
▪ SEO Keywords
▪ Create Ebook
▪ LinkedIn Post
▪ X Post
▪ Help Brainstorm
▪ Blog Post
▪ Email Subject Lines
▪ Email Calendar
▪ Video Script Sales
▪ Copy Ad Copy
▪ Customer Analysis
▪ Product Description
▪ Analyze Data
▪ Compare Products
▪ Proofread
▪ Critique
▪ Table
▪ Markdown
▪ Bullets
▪ List
▪ Image
▪ Summary
▪ HTML
▪ Spreadsheet
▪ Graph
▪ Word Cloud
▪ XML
▪ PDF
▪ Rich Text
▪ Plain Text

PROMPT: What are the key points of differentiation for SAP S/4HANA Cloud, Oracle
Cloud ERP, and Microsoft Dynamics 365 in the automotive industry worldwide? I’m
looking for features and benefits that a CIO/CTO working for a large automotive
manufacturer would care about. Give me the results in a table format.
Here’s a pro tip to help inspire innovative thinking.
Source

Feature/Aspect SAP S/4HANA Cloud Oracle Cloud ERP Microsoft Dynamics 365
Industry Focus
Strong focus on manufacturing and supply
chain specific to automotive.
Broad industry coverage with strong
financial and manufacturing capabilities.
Broad industry coverage with strong emphasis
on customer engagement and operations.
Integration Capabilities
Seamless integration with other SAP solutions
like SAP Ariba, SAP SuccessFactors.
Integrates well with Oracle’s other cloud
services and third-party applications.
Tight integration with other Microsoft products
like Azure, Office 365, and Power BI.
Analytics and Insights
Advanced real-time analytics with SAP HANA
in-memory database.
Comprehensive analytics with Oracle
Analytics Cloud and machine learning.
Embedded AI and analytics with Power BI and
Azure AI.
User Experience
Fiori user interface offering a simplified, role-
based experience.
Intuitive interface with customizable
dashboards.
Modern, user-friendly interface with
personalized workspaces.
Implementation
Flexibility
Available in public, private, and hybrid cloud
environments.
Primarily cloud-based but supports hybrid
deployments.
Flexible deployment options including cloud,
on-premise, and hybrid.
Scalability
Highly scalable to meet the demands of
large automotive enterprises.
Scalable solutions for businesses of all
sizes.
Scalable with modular applications tailored to
business needs.
Cost and Pricing
High initial investment but offers
comprehensive functionalities.
Competitive pricing with modular
approach to add functionalities.
Flexible licensing with pay-as-you-go and
subscription models.
Innovation and Future
Readiness
Continuous innovation with focus on AI, IoT,
and blockchain for automotive.
Emphasis on autonomous database
capabilities and advanced machine
learning.
Innovation with AI-driven insights and IoT
integrations.
Customer Support and
Ecosystem
Extensive partner ecosystem and strong
customer support network.
Strong support and extensive partner
network.
Robust support with a large partner ecosystem
and community.
This is the result I got from ChatGPT.

Feature/
Benefit
SAP S/4HANA Cloud Oracle Cloud ERP Microsoft Dynamics 365
Industry-specific
functionality
Extensive automotive-specific processes
and best practices
Strong automotive capabilities, but less
industry-specific than SAP
Solid automotive features, with growing industry
focus
Supply chain
management
Advanced real-time visibility and
planning capabilities
Comprehensive SCM suite with IoT
integration
Strong SCM with AI-driven insights and forecasting
Manufacturing
execution
Integrated production planning and
execution
Good manufacturing support, especially
with added modules
Robust manufacturing capabilities with mixed-
mode support
Global
compliance
Built-in support for global regulations and
standards
Strong multi-country, multi-language
support
Good international capabilities, but may require
more customization
IoT integration
Seamless integration with SAP Leonardo
IoT platform
IoT capabilities through Oracle IoT Cloud IoT integration via Azure IoT suite
AI and machine
learning
Embedded AI for predictive analytics
and process automation
AI-driven insights and automation across
modules
AI and ML capabilities leveraging Microsoft's
cognitive services
Cloud deployment
True multi-tenant SaaS with regular
updates
Flexible cloud deployment options Cloud-native with options for hybrid deployments
Integration
ecosystem
Extensive integration with SAP and third-
party solutions
Large partner ecosystem, strong Oracle
product integration
Seamless integration with Microsoft products and
growing third-party network
User experience
Modern Fiori interface, customizable for
roles
Intuitive interface with mobile support User-friendly interface familiar to Microsoft users
Scalability
Highly scalable for large, complex
organizations
Scales well for large enterprises
Good scalability, particularly strong for mid-size to
large companies
Analytics and
reporting
Real-time analytics with embedded SAP
Analytics Cloud
Robust reporting with Oracle Analytics
Cloud
Power BI integration for advanced analytics and
reporting
Total cost of
ownership
Can be high, but offset by industry-
specific functionality
Competitive pricing, but costs can add
up with additional modules
Often perceived as cost-effective, especially for
Microsoft-centric organizations
This is the result I got from Claude.

Feature/Benefit SAP S/4HANA Cloud Oracle Cloud ERP Microsoft Dynamics 365
Industry Focus
Deep automotive industry experience, pre-
configured solutions for specific automotive
processes
Strong industry focus with pre-built
automotive solutions
Broad industry coverage, including
automotive, with customizable solutions
Scalability and Flexibility
Highly scalable to accommodate large
enterprises, flexible deployment options
(public, private, hybrid cloud)
Scalable for large enterprises,
flexible deployment options, but
with a stronger focus on public
cloud
Highly scalable and flexible, suitable for both
large and mid-sized enterprises, cloud-first
approach
Core ERP Functionality
Comprehensive suite of finance, supply chain,
manufacturing, and HR modules
Strong financial management,
supply chain, and procurement
capabilities
Comprehensive ERP functionality with a focus
on finance, supply chain, and customer
engagement
Digital Transformation
Advanced analytics, AI, and IoT capabilities
for predictive maintenance, supply chain
optimization, and customer experience
Strong focus on digital
transformation with AI, machine
learning, and blockchain
capabilities
Built-in AI and analytics, with a focus on
customer relationship management and sales
Supply Chain Management
Robust supply chain planning and execution,
demand forecasting, and inventory
management
Strong supply chain visibility and
collaboration, advanced supply
chain planning
End-to-end supply chain management with
a focus on supply chain visibility and
collaboration
Manufacturing Execution
Integrated manufacturing execution
capabilities for production planning,
scheduling, and shop floor control
Strong manufacturing execution
with advanced planning and
scheduling
Manufacturing execution capabilities, but
with a focus on discrete manufacturing
Customer Experience
Customer-centric approach with sales,
marketing, and service capabilities
Strong customer experience focus
with CRM integration
Comprehensive customer engagement
platform with sales, marketing, and service
capabilities
Cloud Adoption
Strong commitment to cloud with various
deployment options
Focus on public cloud with a
strong cloud-first strategy
Cloud-first approach with a focus on flexibility
and scalability
Total Cost of Ownership (TCO)
Potential for higher upfront costs but with
long-term cost savings
Competitive pricing with potential
for lower TCO over time
Lower upfront costs with a flexible pricing
model
This is the result I got from Gemini.

Total Annarchy
Ann Handley
Here are the critical few resources I use.
Source
Wall Street Journal AI & Business Newsletter
20 of the Best AI Newsletters to Read in June 2024
&
TLDR AI Newsletter
TLDR Marketing Newsletter
Almost Timely Newsletter
Inbox Insights
Christopher S. Penn

This is a list of classes on Udemy that I’ve taken.
Source
Revolutionize Your Marketing Content Writing With AI
2 hours
Udemy
On-demand
$13.77 ($84.99)
ChatGPT 101: The Complete Beginner's Guide and Masterclass
2 hours 12 minutes
Udemy
On-demand
$0.00
CHATGPT: The AI Marketing Playbook-Content Creation With AI
8 hours
Udemy
On-demand
$21.19 ($74.99)
ChatGPT Complete Guide: Learn Midjourney, ChatGPT 4 & More
23 hours
Udemy
On-demand
$17.99 ($69.99)

Thank you!
Ginger Shimp
Global Content Strategist
M: +1.814.350.0019
LI: linkedin.com/in/gingershimp/
E: ginger.shimp@sap.com
SAP SE
3999 West Chester Pike, Newtown Square, PA 19073
Ginger Shimp
M: +1.814.350.0019
LI: linkedin.com/in/gingershimp/
E: gingershimp@gmail.com

Using AI to Enhance (Not Create) Marketing Content - Ginger Shimp, SAP

Using AI to Enhance (Not Create) Marketing Content - Ginger Shimp, SAP

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