Generative AI

Algorithms that create something new

There has been a surge in interest in generative artificial intelligence (AI): a wide range of AI algorithms that can generate original content by analysing training data.

These algorithms use large amounts of data to create something new and unique in response to a user prompt or query, which makes them useful tools for a wide range of applications.

Examples of generative AI

Text-based algorithms
OpenAI ChatGPTGoogle Bard
Image generators
DALL-EMidjourney

Digital experience

What generative AI means for digital experiences

For the people involved in shaping digital experiences, the rise of generative AI has significant implications.

Fortunately, we already have the necessary mindset for this task; the challenge is adapting it to incorporate new technologies in a meaningful way. That requires creating space to explore new approaches and applications that can unlock the full potential of generative AI.

Experience design

Optimizing digital experiences with AI

A successful experience design recognises two things, and keeps them in balance.

Empathy

Deep empathy for users and their goals.

Feasibility

Understanding what designs can achieve within technical and other limitations.

When approaching experience opportunities with AI, the path has three moves.

Understand the people

Start with a deep understanding of the human experiences of stakeholders.

Brainstorm the integration

From there, brainstorm innovative ways to integrate generative AI capabilities into processes and offerings.

Make room to experiment

The organizations most likely to benefit from AI create a space for experimentation and collaboration, to understand AI's capabilities and how it fits into contextual experiences.

Ultimately, finding the right balance between empathy and technological feasibility is key to success with AI-powered experiences.

In practice

Uses of artificial intelligence in customer experience

Examples of what is possible today, and of ways AI could be used more in the future.

Chatbots, around the clock

AI-powered chatbots provide 24/7 customer service with speed and accuracy, as seen in banks and other customer-facing industries.

Personal recommendations

Businesses use customer behaviour and preferences to offer customized recommendations, as music apps like Spotify do.

Conversational surveys

Conversational, personalized design makes surveys more engaging and returns accurate feedback for decision-making.

Marketing and sales journeys

Companies can streamline their marketing and sales journeys into a more efficient, personalized customer experience.

Natural language text

Generated text helps create tailored content for social media, websites and product descriptions.

Translation and conversation

Translation and human-like conversations engage customers in multiple languages and make communication more accessible.

Opportunities

Opportunities for AI and digital experience

Customer behaviour data, analysed with AI, opens four opportunities.

Customer segments

Understanding customer behaviour data lets companies identify segments and tailor experiences from a data-driven perspective.

Predictive insights

Historical sales data and trends help predict future customer behaviour.

Relevant ads

AI analysis of customer data and context creates targeted, relevant ads.

Listening posts

Analysing feedback across multiple listening posts identifies pain points and opportunities for improvement.

AI represents the frontier of computing, with new capabilities and possibilities that were out of reach until recently. By prioritizing deep empathy for the human experiences this technology will influence, organizations have the opportunity to gain significant advantages in their markets.

By using the full potential of generative AI, companies can stand out in an increasingly competitive market and put customer satisfaction first.

Total Experience

From digital experience to Total Experience

This is where the concept of Total Experience becomes crucial: integrating all the touchpoints across an organization into one complete experience.

By embracing a mindset of experimentation and breaking free from traditional corporate barriers, organizations can explore a wide range of ideas and concepts, and use AI to raise digital experiences to the level of Total Experience.

Next steps

AI and your IoT project

On Thinger.io, AI already works on connected devices: its MCP server, run by the Thinger CLI, lets an AI agent answer from live telemetry and take on routine operations. See AI & MCP.

If your company needs an IoT solution, you can contact an expert on our team. You can also follow Thinger.io's CEO on LinkedIn for more information and updates on Internet of Things subjects.

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