The AI × DATA Revolution
In the new era of intelligence, AI is not just a tool—it's a force for complete enterprise transformation. The deep integration of AI and data is reshaping competitive landscapes.
"A specific LLM will no longer be treated as the key differentiating factor of organizations' GenAI success. Instead, unique internal data that is difficult for other enterprises to obtain or replicate will become the only source of competitiveness for a successful AI journey."Gartner, Data Management Is the Sole Differentiator in a Commoditized and Multipolar LLM World, March 2025
The Hurdles of AI Adoption
While the promise of AI is immense, enterprises face significant, interconnected challenges that hinder ROI and successful implementation.
Data‑Level Pain Points
- 🧱Data Silos & Fragmentation: Critical knowledge remains locked in disparate systems or employee minds, preventing a unified data view for AI.
- 📉Poor Data Quality: Inaccurate and inconsistent data is the #1 reason for AI failure, with model accuracy dropping to as low as 30‑40%.
- 🔐Security & Compliance Risks: Data privacy laws and the risk of leakage prevent enterprises from using their most valuable asset—proprietary data.
Application‑Level Pain Points
- 💰Prohibitive Costs: Building applications point‑by‑point is unsustainable. 200 AI applications could cost over $15 million, exceeding most budgets.
- 🧩Complex Integration & Scarcity: Connecting AI to existing systems is difficult, while the explosive demand for AI faces a constant scarcity of GPU computing power.
- ⚙️Multi‑Model Management Nightmare:Enterprises struggle to select, tune, and manage a diverse landscape of AI models and hardware, increasing costs and time‑to‑market.
The Solution: AI Times's Unified AI Infra
We provide a full‑stack, integrated infrastructure that fuses AI and Data at every level, transforming challenges into competitive advantages.
AI‑Ready Data Platform
Data Hub, Unified Platform for Lakehouse and Data Mart, supporting 11 data models
Unified Resource Platform (Data Cloud)
Manages All Heterogeneous CPU/GPU Resources
This integrated stack eliminates complexity, reduces Total Cost of Ownership (TCO), and accelerates value creation by providing a single, seamless solution from hardware to AI application.
Unprecedented Performance & Efficiency
Our AI‑Ready Data Platform delivers game‑changing speed and cost savings, turning data into real‑time intelligence.
From Day to Second
Our unified architecture for lakehouse and data mart reduces end‑to‑end data latency from hours or days to mere seconds, enabling true real‑time AI.
Performance Leap
Distributed graph database delivers up to a 100‑fold performance increase for high‑concurrency queries, vital for complex knowledge graphs.
Lower Cost
Distributed vector database cuts storage costs by a factor of 10 while boosting performance 5x on Arm architecture with 95%+ recall accuracy.
Dominating the Benchmarks
AI Times consistently outperforms leading alternative solutions across TPC‑DS and other industry‑standard benchmarks, delivering superior performance at a fraction of the cost.
From Complex to Unified: The Architecture Evolution
Traditional Approach
Latency: Hours to Days
AI Times Unified Platform
(Data Hub)
Latency: Seconds
Our integrated platform eliminates data redundancy, simplifies architecture, and drastically cuts down latency, making your data AI‑Ready instantly.
The Proof: Tangible ROI for a Leading Financial Institution
By replacing a complex, multi‑vendor stack with AI Times's unified platform, a major financial institution achieved transformative results.
Storage Cost Reduction
Achieved a 6x reduction in overall storage costs by eliminating redundant data copies across systems.
Accelerated Analytics
Boosted interactive dashboard analysis performance by 10x, enabling faster executive insights.
Enhanced AI Accuracy
The AI‑powered data analytics assistant achieved over 95% accuracy, driven by high‑quality, real‑time data.
Negligible Security Overhead
Implemented full‑system national standard encryption with less than 5% performance impact, ensuring robust security.
This is not just a technology upgrade; it's a fundamental business capability rebuild that delivers measurable financial and competitive returns.