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AI Agents Reshaping Enterprise Productivity for Digital and Intelligent Transformation

Shifting from model-centric training to inference adoption, the AI industry is moving beyond simple-dialogue and single-task technologies toward a new paradigm of autonomous, multi-task AI agents. Being able to proactively understand requirements, break down tasks, invoke tools, and handle complex work in a closed-loop manner, AI agents have become core productivity tools for enterprises to significantly reduce costs, improve efficiency, accumulate industry assets, and liberate human workforce.

Factors Determining Large-Scale Commercial Use of AI Agents

  • Dedicated Knowledge Base

    Enables AI agents to understand industry- and enterprise-specific services and provide professional and trustworthy answers without AI hallucinations.
  • KV-Cache-Driven Acceleration

    Boosts AI agent performance by shortening the response latency in long-sequence inference and high-concurrency scenarios.
  • Memory Capability

    Ensures coherent and personalized multi-turn interactions, driving the autonomous iteration and evolution of AI agents.

Challenges in Industry Adoption of AI Agents

Poor Knowledge Use

Poor Knowledge Use

Delayed data updates, difficulties in generating multi-modal knowledge, and inaccurate knowledge retrieval

Slow Inference

Slow Inference

Prolonged time to first token (TTFT) and reduced inference throughput due to increasing sequence length and insufficient KV cache storage

Lack of Memory

Lack of Memory

Lack of effective memory generation and management systems impeding AI agent evolution

Huawei Solution

Huawei Solution

Huawei AI Data Platform integrates the knowledge base, KV cache store, and memory bank, and collaborates with Unified Cache Manager (UCM) to provide three key capabilities for AI agents: knowledge generation and retrieval, KV-cache-driven inference acceleration, and memory extraction and recall. This makes AI agents more accurate, efficient, and intelligent while speeding up the adoption of enterprise AI applications.

Huawei Solution
Huawei

Huawei AI Data Platform Speeds up AI Agent Adoption

More Accurate

More Accurate

Support for multi-modal data, knowledge generation in minutes, and >95% retrieval accuracy

More Efficient

More Efficient

PB-level KV cache store, multi-level cache flow through UCM collaboration, TTFT shortened by 90%, and doubled inference throughput

More Intelligent

More Intelligent

Accumulated working and experiential memory improves AI agent inference accuracy by 30%

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