A naukri.com initiative
Pymnts
1M
109
Image Credit: Pymnts
Beyond Data Points: AI That Understands Images, Voice and Your Customer’s Journey
- Breakthroughs in AI models like natively multimodal AI and extended memory capabilities enable businesses to offer hyper-personalized experiences to customers.
- Multimodal AI can understand and respond to various data types beyond text, including images, audio, video, and code.
- Extended memory AI can retain contextual information over multiple interactions or sessions.
- Major companies like Meta, Google, OpenAI, and Anthropic have launched or announced advancements in multimodal and memory features in their AI models.
- These AI advancements allow for deep personalization and tailored experiences that meet customer expectations.
- Multimodal AI coupled with longer memory can offer seamless, personalized interactions across touchpoints by remembering customer preferences over time.
- The combination of multimodal AI and extended memory enables AI systems to provide human-like customer service, personalized offers, and scalable B2B customer support.
- AI's abilities to reason across modalities and remember context are beneficial for various industries, including aerospace, manufacturing, and financial services.
- Utilizing AI for hyper-personalization raises privacy concerns due to increased data collection and potential risks of data breaches.
- Businesses deploying AI must prioritize data privacy and consent management while blending personalization with trust for digital engagement.
Read Full Article
6 Likes
For uninterrupted reading, download the app