NASDAQ是全球第一個電腦化的證券交易所。
NASDAQ主要交易科技公司的股票。除了股票交易,NASDAQ也提供其他金融服務,如期貨和衍生品交易、資產管理和數據服務。
美國佔有全世界股票市值總額超過50%,聚集全球各產業的龍頭公司,而Nasdaq擁有超過 50% 美股成交量市佔。
百商數位是NASDAQ在台灣唯一的指定數據整合及介接商,將提供客戶最穩定、快速的美股行情資料及盤後數據資料。
ICE擁有並運營12個受監管的交易所與市場,包括美國、加拿大、歐洲的ICE期貨交易所、歐洲Liffe期貨交易所、紐約證交所、股票期權交易所,以及場外能源、信用和股票市場。
ICE數據庫(ICE Data Services)提供市場數據與分析服務,涵蓋多種資產類別,協助用戶進行投資、交易、合規與風險管理。其解決方案包含即時與歷史數據、指數與交易資料,並以安全靈活方式提供。
百商數位支援ICE資料庫及數據API介接,並可提供大型客服平台建置服務。
百商數位在GOOGLE環境下,提供AI系統整合與創新業務,強化算力介接及客製化中間層。
同時,支援AI客服、影音自動生成、研報產生、資料整合等平台,幫助客戶實現數據與AI應用的有效連接。
IBM與百商數位合作,為客戶提供證券、期貨交易整合平台,運用IBM主機(Mainframe)高效計算,處理大量數據與交易,並確保最高等級的安全性與可靠性。
主機在商業資料庫、交易服務器及需高彈性與安全性的應用中扮演關鍵角色,如 Linux on Power、Non-stop LinuxOne。
另提供地端AI解決方案,協助高監管企業實踐AI同時兼顧資安與個資保護。
MT Newswires 是一家專注於提供全球金融新聞的公司。該公司提供原創、實時、多資產類別的新聞,超過180個主題、觸及逾10億讀者。
MT Newswires 的新聞服務被全球最大的銀行、經紀公司、專業市場數據、金融門戶、交易、財富管理和研究應用所使用,並以其卓越的服務和實時市場知識而聞名。
百商數位 是MT Newswires 在台灣唯一的指定數據整合及介接商,將提供客戶穩定、快速的美股及海外商品即時新聞、目標價等資料。
IB盈透證券提供多元化的金融商品交易,包括股票、ETF、期貨、選擇權、債券、外匯、基金以及差價合約(CFD)等,覆蓋超過150個市場和34個國家,巳提供中文介面和客服。
百商與IB公司巳有企業用資產管理平台串接之合作,並提供國內企業用戶及機構法人系統整合服務。
SpeedyAI leverages ultra-fast C++ technology and FPGA architecture to achieve millisecond-level order processing.
Ideal for high-frequency and algorithmic trading, it enhances the efficiency and reliability of financial transactions.
Smarter, Faster, And Safer Access To U.S. And Global Markets—Built For The AI-Powered Future Of Trading.
A one-stop solution integrating Google Gemini’s cloud and on-premise architecture, providing end-to-end services from requirements assessment and hardware/software deployment to model governance, accelerating your AI application deployment and transformation.
Providing diverse, enterprise-grade AI solutions that can be rapidly deployed.
Built with Google AI and MDBS innovation to craft your brand identity.
Create a digital avatar that mirrors your appearance and voice.
Deliver seamless translations with original voice tone and lip-sync precision.
Instantly create professional video content using versatile templates
01 How To Use Big Data Solutions?
When using big data, enterprises often face challenges such as complexity, high costs, and difficulty in operation. Different teams also interpret data differently. As data volumes continue to grow, problems become increasingly complex. So, can big data really help us solve real problems?
02 The Concept Of Data Fridge
In marketing, access to real-time and simplified data is critical. The concept of MDBS Data Fridge is to make data simple—no need for heavy infrastructure. Just like grabbing a fresh beer or ice cream from your fridge, you can instantly get the data you want, whenever you need it.
03 Types Of Data Enterprises Should Collect
Enterprises should focus on collecting two main types of data: Unstructured Data: Machine logs (e.g., Apache, application servers, etc.) External Data: Data outside internal systems, such as third-party sources, social media platforms, and other external data streams.
04 How To Instantly Access Valuable Data?
We need to analyze rapidly changing data in real time, uncover new insights, improve existing models, and capture opportunities before they’re gone. That means shifting from traditional batch processing to real-time analytics and decision-making.
05 Data Fridge Simplifies Data Processing
With Data Fridge, you can easily collect and interpret data—making complex data processing simple and accessible.
Professional planning and innovative design to provide the best user experience.
RWD Multi-Screen Design, New UI/UX Compliant
Clean Flow, Flexible Code Structure
Combining Workflow, Prototypes, Interactive Design, Detailed Planning
Membership, Payment Modules, Content Upload & Legacy System Integration
AI-Enhanced Service Experience
Speedy Exchange & Broker Real-Time High-Speed Connection
SpiderNet FIX Trading Connection Interface
Orc Mapper Engine Component
JQue Trade Risk Control Module
Mass Data Collection, Real-Time Marketing, Social Media Tracking