The Rise of Generative AI in XR
Generative AI is transforming every part of the world as we know it. It’s revolutionizing customer experiences, enhancing productivity, and streamlining content creation. In the XR world, generative AI is accelerating the production of immersive spaces and assets and enhancing the creation of more unique experiences, like AI XR customer service interactions.
As the AI landscape and the extended reality space evolve, certain trends have emerged that bring the two technologies closer together. Today, we’re looking at some of the major trends you should know, whether you’re an XR developer, a technology enthusiast, or a company investing in new XR apps.
1. Generative AI Appears in More XR Apps
In recent years, generative AI has evolved from a futuristic concept into mainstream tech. Vendors are building generative AI capabilities into countless different types of software, from development tools to contact center solutions.
For the XR world, generative AI appears in various applications to help enhance user experiences. In the retail world, generative AI in XR shopping apps can guide customers through the purchasing experience, help them “try on” products in AR, and answer common questions.
In the customer experience space, generative AI in XR apps can offer personalized onboarding sessions to users, help them troubleshoot issues, or teach them how to use new tools. Generative AI solutions can even enhance XR training experiences, giving employees and students access to a real-time coach capable of offering personalized guidance and feedback.
2. Gen AI Simplifies Content Development
For many companies in the XR space, the biggest benefit of generative AI is its ability to streamline and enhance the content creation process. Leading generative AI tools built into AR software development kits and metaverse as a-service solution can create highly realistic content in seconds.
These solutions can draw on information provided by images and text prompts to create immersive digital twins of environments or design hyper-realistic avatars. Developers can even use generative AI solutions to create audio for extended reality applications, such as immersive soundscapes or voices for virtual characters.
Generative AI solutions can even enhance content delivery through extended reality applications. They can draw on huge amounts of data to intelligently position content in an interactive landscape and introduce powerful spatial audio experiences. Plus, generative AI can even provide insights to VR developers to help them design more ergonomic and intuitive wearables.
3. Gen AI XR Improves Immersive Collaboration
Immersive collaboration solutions have grown increasingly popular in the last few years. That’s particularly true as companies seek ways to reconnect distributed teams in the hybrid workplace. Already, countless extended reality applications support modern teams with virtual environments where they can share ideas, collaborate seamlessly on projects, and even engage in training exercises.
Adding generative AI to these applications can take collaboration to the next level. For instance, a generative AI assistant like Copilot in Microsoft Teams Immersive Spaces can transcribe and translate content in real time, summarize meetings with action items, and deliver personalized suggestions to team members.
Generative AI can even use prompts to create content for collaboration in seconds. It can design wireframes for new products, graphs, data visualizations, or images. Plus, generative AI tools can gather data from immersive collaboration sessions. This means they can share insights with business leaders to boost productivity and engagement.
4. Dynamic AI XR Content Personalization
Generative AI is more than an incredible tool for creating immersive content and assets. It can also enhance and personalize content for users in real-time. In the customer service landscape, for instance, a generative AI assistant can suggest products for customers based on previous purchases or adjust its tone of voice or language to suit different needs.
Generative AI can even adapt to specific user needs, using visual assets and instant content transcription to support people with hearing difficulties. Dynamic content personalization isn’t just valuable for customer service; it can also be extremely useful for XR training sessions.
Generative AI XR coaches built into training applications can adjust their approach to training based on each user’s needs and performance. They can offer real-time personalized feedback and even track performance metrics. This leads to more powerful, immersive educational experiences and better knowledge retention.
5. Growing Focus on Security, Compliance, and Ethics
Finally, as AI XR solutions evolve, we see a growing focus on security, privacy, and compliance for all use cases. Generative AI solutions rely on access to vast amounts of data to create personalized experiences for users in extended reality. This makes it crucial for business leaders and developers investing in this technology to prioritize security.
Ensuring all of the data collected by a generative AI system is kept secure and encrypted is essential. It’s the key to minimizing data breaches and mitigating non-compliance fines. Anyone building a solution with generative AI or adding generative AI to their XR workflows will need to ensure they have a comprehensive strategy for data governance.
Alongside security and compliance, we’ll also see an increased focus on ethics in AI. Companies creating generative AI assistants or using AI to build new content must avoid common concerns like AI bias. This will require a careful approach to training and customizing AI models.
The Evolution of AI XR Technologies
Generative AI can fundamentally transform the extended reality landscape on multiple levels. It will help creators to design more powerful applications and immersive experiences. Plus, it will lead to an increase in valuable applications that can enhance everything from customer experience to collaboration.
However, companies must take the right approach to AI XR adoption. A comprehensive focus on security, privacy, compliance, and ethics will be crucial.
Quelle:
