Samsung Puts Customer Experience at the Heart of AI Innovation

Samsung Puts Customer Experience at the Heart of AI Innovation

Samsung Electronics isn't chasing AI for its own sake. Instead, the tech giant views artificial intelligence as a powerful tool to meaningfully improve users' daily lives. In a comprehensive look at their strategy, Samsung reveals how they blend on-device, cloud, and generative AI to create practical solutions.

How Samsung's Hybrid AI Approach Works

The company uses a strategic mix of different AI technologies based on what serves customers best:

• On-device AI handles sensitive data processing locally, providing instant responses while keeping personal information secure
• Cloud-based AI manages complex tasks requiring extensive data and high-performance computing
• Edge AI operates in smart home environments, letting connected devices work together without cloud dependency

Galaxy AI exemplifies this hybrid approach, seamlessly switching between on-device and cloud processing depending on each task's specific needs.

Generative AI Features Now in Your Pocket

Samsung has integrated generative AI across its product ecosystem:

• Galaxy AI features include Chat Assist for translation, Note Assist for summarizing content, and Photo Assist for AI-powered image editing
• Smart home integration brings 4K generative wallpapers to Neo QLED TVs and AI-generated cover screens to Family Hub refrigerators
• Dynamic wallpapers in smartphones adapt to real-time conditions, showing snowfall or starlit skies based on weather and time

Samsung Gauss2: The Company's Proprietary AI Engine

Samsung recently unveiled Samsung Gauss2, their upgraded generative AI model that comes in three versions:

• Compact: Lightweight for on-device processing
• Balanced: Medium-sized for cloud-based text and code generation
• Supreme: Large-scale variant focused on workplace productivity

The model already powers Samsung's internal coding assistant and Gauss Portal, helping employees with document summarization, translation, and email drafting. Using advanced Mixture of Experts (MoE) technology, it activates only the necessary components for each task, making large AI models more efficient.