MDBS Joins Forces with IBM and Chief Telecom to Accelerate Enterprise AI Adoption

On August 21, MDBS Digital Technology hosted the “Brain of Tomorrow: Financial AI Solutions × Intelligent Data Centers” seminar at Le Méridien Taipei. Addressing real-world enterprise needs, the event brought together IBM’s AI agent management and orchestration platform, MDBS’s practical expertise in financial data and trading systems, and Chief Telecom’s intelligent data center and computing infrastructure to present an end-to-end AI solution spanning foundational architecture through front-end applications.

IBM Highlights Scalable AI Agent Management for Financial Services

Under the theme “When AI Starts Taking Action: A New Era of AI Agents in Financial Services,” Helen Chen, General Manager of Target Markets and Ecosystem at IBM Taiwan, explained that as AI begins taking on business tasks, enterprise priorities must expand beyond model selection to include the development, deployment, monitoring, and continuous optimization of AI agents.

She outlined a three-stage roadmap for adopting AI agents in financial services:
·Stage 1 — Employee Empowerment Agents: Use publicly available information and individual work data to support employees in their daily tasks.
·Stage 2 — Shared-Service Agents: Integrate sensitive enterprise data and supply-chain information to support cross-functional needs across human resources, IT, procurement, finance, and other departments.
·Stage 3 — Domain-Specific Agents: Extend AI into core functions such as wealth management and claims processing, addressing high-value and highly specialized financial scenarios.

As AI agents become embedded in core business operations, enterprises must maintain full visibility into how tasks are performed. Beyond enabling AI to take action, organizations need traceable, measurable, and continuously improving governance mechanisms to ensure that AI agents can be integrated reliably into financial service workflows.

MDBS Integrates Financial Data, AI Applications, and Trading Infrastructure

Once computing resources and an AI platform are in place, the next critical question is how AI can access accurate, complete, and real-time financial data—and become meaningfully integrated into financial service workflows.

Simon Chang, Chairman of MDBS Digital Technology, presented the company’s financial AI solutions at the event. He noted that general-purpose AI models searching the internet directly for stock and market information often encounter incomplete data, inconsistent formats, and excessive token consumption. No matter how powerful the model may be, inaccurate source data will ultimately undermine the reliability of its analysis.

MDBS addresses this challenge through OWL AI, which provides structured financial data covering real-time market quotes, price and volume data, technical indicators, financial statements, financial ratios, and strategy components. This allows AI models to access high-quality data directly without the time-consuming process of web scraping and data cleansing.

Beyond data integration, MDBS extends these capabilities into practical use cases. During the event, Simon Chang personally demonstrated OWL AI and Lobster Manor, showing how AI can be used to retrieve market information, access individual stock data, and conduct in-depth research—highlighting the practical value of scenario-based financial AI applications.

At the infrastructure level, Speedy FPGA is designed to meet the financial trading sector’s demand for high performance and ultra-low latency. Together, these solutions demonstrate MDBS’s comprehensive capabilities across trading infrastructure, financial data, and AI applications.

Through its collaboration with IBM and Chief Telecom, MDBS deploys its financial data and application capabilities on an enterprise-grade AI platform supported by intelligent data center facilities and high-speed connectivity. Acting as the core integrator, MDBS connects computing resources, platforms, data, and financial use cases to help financial institutions shorten the journey from proof of concept to full-scale deployment.

Chief Telecom Builds High-Density AI Computing and Multi-Cloud Infrastructure

Under the theme “Chief AIDC Computing Power: Building a New Future for AI-Powered FinTech,” Tony Wang, Product Manager at Chief Telecom, introduced how the LY2 AI Intelligent Data Center is designed to meet high-performance computing demands.

Each rack supports power densities ranging from 10 kW to 150 kW, with both air-cooling and liquid-cooling configurations. The facility also features dual 20 MW power systems, multiple redundant UPS systems, and A/B dual-circuit power distribution to reduce the risk of single points of failure. Its structure supports floor loads of up to 2,000 kilograms per square meter and provides 0.4G seismic isolation, ensuring the safe and reliable operation of high-density servers.

By integrating data center facilities, power, cooling, and private multi-cloud connectivity, Chief Telecom provides financial institutions with more than just a space for AI computing. It delivers the essential infrastructure required to support the stable operation of mission-critical systems.

As AI agents become increasingly connected to enterprise data and financial service workflows, stable, secure, and scalable infrastructure will be essential for moving AI from testing environments into full production.

Connecting Technology with Financial Use Cases to Drive Real-World AI Adoption

The “Brain of Tomorrow: Financial AI Solutions × Intelligent Data Centers” seminar demonstrated how MDBS addresses real-world enterprise requirements by bringing together IBM’s AI agent platform capabilities, MDBS’s practical expertise in financial data and trading systems, and Chief Telecom’s intelligent data centers, computing resources, and multi-cloud connectivity.

This collaboration enables financial data, trading systems, and AI applications to operate on a stable and manageable architecture.

Looking ahead, MDBS will continue combining its financial industry expertise with AI technologies to support enterprises across data preparation, architecture planning, and application deployment. By delivering AI solutions that balance performance, cybersecurity, and scalability, MDBS aims to help organizations integrate AI more deeply into core business processes and create tangible, sustainable operational value.