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These intelligent agents will work in tandem with multimodal AI to create more adaptive and hyper-personalized customer experiences.
Multimodal AI represents a significant leap forward from traditional AI systems.
Agentic AI builds upon these capabilities, taking AI beyond responsive systems to proactive, decision-making agents.
These models can interpret inputs from multiple sources and learn user preferences to anticipate needs and take action autonomously.
Tobias Dengel, President of TELUS Digital Solutions.
These systems have evolved how customers engage with brands by offering unmatched flexibility in communication methods.
This adaptability creates a more natural and comfortable experience while maintaining conversational context across different modes of interaction.
With Agentic AI, these experiences become even smarter and more independent.
In the retail sector, multimodal AI is transforming online and in-store consumer experiences.
User-centric design:Organizations need to understand the preferences of their specific user base to deliver the best experience.
This approach not only serves users with different abilities but often leads to better solutions for all users.
This includes incorporating user feedback, adapting to new technological capabilities, and maintaining robustsecuritymeasures.
Leverage third-party expertise:Partnering with an expert provider can help organizations navigate the complexities of advanced AI implementation.
These providers bring specialized expertise, ensuring seamless integration, responsible innovation, and adherence to regulatory standards.
These collaborations can accelerate deployment while maximizing the technologys impact on customer experiences.
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The views expressed here are those of the author and are not necessarily those of TechRadarPro or Future plc.
