Generative AI: Personalization at scale

In the ever-evolving technology landscape, Artificial Intelligence (AI) and Generative AI have become almost synonymous with innovation and transformation. The widespread adoption of these technologies in our daily lives is nothing short of remarkable—from ChatGPT, Bard, Midjourney, and the flurry of tools that have popped up over the last year that (claim to) use the same.

The potential for disruption is immense, both in its current state and the promise it holds for the future. And this has been coming for a long time now. With these new generative models, which are able to create new (albeit “inspired”) pieces of work, the speed at which we are moving forward has gone up.

What does Generative AI really mean?

In simple words, Generative AI is a branch of AI that focuses on the creation or generation of new pieces of content and/or experiences. Unlike some other AI subfields that primarily involve learning from existing data, Generative AI has the remarkable ability to create something entirely new, and that’s where its true magic lies.

To put it into perspective, consider a generative image model as the artist of the AI world, constantly sketching, composing, and innovating, who is commissioned to sketch something just for you.

This is automation and personalization at scale, and opens up lots of possibilities.

Changing how we interact with the web

Generative AI is making waves in the world of web content. There is a debate around copyright and the originality of these media.

Here are some of the aspects of Gen AI that we are excited about, especially around how this is reshaping the way we consume and interact with online information.

Content Generation

Generative AI is changing how people generate and consume content. You are now able to craft content that speaks directly to your user’s interests, whether it is information, emails, or even presentations with analysis. You can customize the tone, emotion, style guide, or even the vocabulary to make this “generated” content really feel authentic.

Google, too, has shifted it’s take on this debate. In the latest iteration of Google Search’s “Helpful Content Update”, the phrase “written by people” has been updated to “content created for people”, focusing more on the quality of the content.

With tools like ChatGPT or deeper AI integration from Microsoft 365 and Google Workspace, or software solutions such as Canva, Microsoft Designer, Runway, and much more, this is already making a big splash in the content space.

Personalization at scale

User engagement and interaction are the cornerstones of a great online experience.

Visual Experiences: Have you ever visited a website that seemed to intuitively adjust its layout and color scheme based on your preferences? Generative AI is behind these AI-driven design adjustments, ensuring that your visual journey through the web is as captivating as it is seamless.

Generative AI is rewriting the rules of personalization, ushering in a new era of tailored user experiences. A/B testing—unchained. It can create a “market of one,” treating each user as a unique segment and providing them with content and recommendations that resonate on a deeply personal level. The result? More relevant content, better product/service recommendations, and an individualized web experience like never before.

Take a look at this demo of DALLE-3 which showcases really well the quality and “intelligence” these tools are pushing the boundaries for. You are in control, your characters, your storyline — your imagination is the limit.

Voice and Chat Interactions: Voice assistants and chatbots are becoming more human-like and intuitive. Conversations are now fluid and natural, making interactions with web-based AI feel less like a script and more like a genuine conversation.

We believe AI-enabled customer service, not just automation, is already showing lots of promise. We are already seeing some earlier work here when it comes to eCommerce and some banking sectors.

Code and Programming

Solutions such as GitHub Copilot which touts itself as an AI pair-programmer and plugs right into the code editor, greatly speed up repetitive and/or obvious things, and allow you to focus on what really matters.

Like many others, here at Axioned, we have been on this journey since it’s early private beta days, and we do see this as a new fixture in our toolkit.

While Generative AI holds immense promise, it’s crucial to ensure that customers understand how AI is used in tailoring their experiences. Addressing concerns about data privacy and usage is paramount. Transparency and ethical use of AI are at the forefront of responsible innovation.

Future of Web Experiences with Generative AI

Looking ahead, the possibilities seem endless. Generative AI could drive innovations like AI-generated video content or customize whole experiences for each user (think of uncapped A/B testing), and more. We are excited for it.

Yes, there will obviously be questions on what it means for us. And I think Kent Beck captured it remarkably well. These innovations aren’t here to replace us, they are here to greatly amplify what we can do instead.

Generative AI is not just a tool; it’s a gateway that opens up infinite possibilities for what you could be doing instead. You are in the driver’s seat!

At Axioned, we believe in leveraging the power of Generative AI to create web experiences that delight and engage users. We’re already leveraging AI capabilities in our work, from AI Workbenches, predictive analytics, and working with LLMs for conversational experiences. 

We recently worked starting to put together a mini showcase of the possibilities these tools could bring to you and your users. You can check it out below.

AI Integration Demo

A demo site to showcase AI integrations with some open APIs.

AI Integration Demo

We invite you to share your thoughts and feedback on how Generative AI can shape the future of web experiences. If you’d like to talk to us about this further then give us a visit.

References

4 Charts That Show Why AI Progress Is Unlikely to Slow Down

Three major inputs are the key to understanding how AI will likely progress

TimeWill Henshall

The next frontier of customer engagement: AI-enabled customer service

Customer experience has never mattered more, yet institutions often stumble in applying the most promising AI tools. Here’s how to overcome three top obstacles.

McKinsey & CompanyGreg Phalin