Our next speaker is @EllenGeraghty
—
Artificial intelligence and content strategy
#uxa2021 @UXAustralia
—
Artificial intelligence and content strategy
#uxa2021 @UXAustralia
Can AI help us communicate better in a digital context at work?
A bit about Elle 
Let's get a shared understanding of content strategy
The tools Elle will share is about the bottom of the triangle, but you need to be thinking strategically about what it might impact
Basic levels of AI
1. Robotic process automation (Not always considered AI)
2. Machine learning (most synonymous with AI)
3. Deep learning (almost science fiction)
4. Computer vision
5. Natural language processing (what we'll spend most of our time on today
1. Robotic process automation (Not always considered AI)
2. Machine learning (most synonymous with AI)
3. Deep learning (almost science fiction)
4. Computer vision
5. Natural language processing (what we'll spend most of our time on today
Why has AI taken off?
1. Huge data sets
2. Much cheaper / easier to store data
3. Much faster / better computer processing
4. More sophisticated algorithms
1. Huge data sets
2. Much cheaper / easier to store data
3. Much faster / better computer processing
4. More sophisticated algorithms
How does AI impact our work?
1. Edit & smart compose
2. Chat bots
3. Sentiment Analysis
4. GAN
5. AI writers
1. Edit & smart compose
2. Chat bots
3. Sentiment Analysis
4. GAN
5. AI writers
Natural language processing
A lot of what's happening in natural language processing is grammar rules.
A lot of what's happening in natural language processing is grammar rules.
Smart compose and editing.
Gmail, on your phone etc.
Gets names and grammar spelled right and suggests some useful things.
A lot of people find the suggestions aren't relevant
Gmail, on your phone etc.
Gets names and grammar spelled right and suggests some useful things.
A lot of people find the suggestions aren't relevant
There are a bunch of tools like grammarly, hemmingway or VT writer that help you edit your content quickly and cull the fluff.
Sentiment Analysis
Most likely to come from your Voice of Customer (VoC) part of the organisation trying to scrape huge data to get an idea of what people think.
Seems very blunt as an instrument and Elle questions if it actually works.
Most likely to come from your Voice of Customer (VoC) part of the organisation trying to scrape huge data to get an idea of what people think.
Seems very blunt as an instrument and Elle questions if it actually works.
Generative Adverse Networks (GAN)
They make deep fakes — maybe you could apply it internally to generate artefacts for your archetypes or personas.
They make deep fakes — maybe you could apply it internally to generate artefacts for your archetypes or personas.
AI Compose — The one Elle's really excited about
@AI21Labs — can generate headlines, blog topics etc based on inputs.
@AI21Labs — can generate headlines, blog topics etc based on inputs.
Some of the results
It helped Elle explore whether she could solve some common problems in content design.
Social media, Syndication, Jargon tolerance
Social media, Syndication, Jargon tolerance
List of tools to you could use:
1. @Grammarly
2. @HemingwayApp
3. @VisibleThread VT Writer
4. Generated Faces
5. @AI21Labs
6. AI Writer
1. @Grammarly
2. @HemingwayApp
3. @VisibleThread VT Writer
4. Generated Faces
5. @AI21Labs
6. AI Writer
Thanks @EllenGeraghty !!!
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