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  • SERVICES
    • Software Vendor Services
      • Vendor Profiles
      • Product Profiles
    • Data Management Consultancy
    • Market Research
    • IT Strategy Facilitation
    • Enterprise Services
  • Our Expertise
    • Research Agenda 2026
    • Focus Areas
      • Artificial Intelligence
      • Master Data Management
      • Data Quality
      • Data Governance
    • Landscapes
      • MDM Landscape Q2 2025
      • DQ Landscape Q2 2025
      • BDW Landscape Q4 2022
    • Product Evaluation Format
    • Mergers and Acquisitions
  • Books
    • Beyond the Hype, A realists guide to AI
  • ABOUT US
  • BLOG
  • CONTACT

Daily Archives: 23 November, 2025

A maze labeled “AI Success” filled with hurdles such as “Data Governance,” “Consistency,” “Security” and “Training,” highlighting the real-world “obstacles” on the path to value. The AI is visualized as both a bright light and a maze-like challenge at the journey’s end.

AI Blog – Best Practice for Corporations

Artificial Intelligence, Data Management and AIBy Mat Newcomb23 November, 2025

It is now three years since ChatGPT was launched, and introduced most of the world to generative AI. Corporations and public sector bodies alike have rushed to adopt this latest technology, but with limited success. The proportion of AI projects that actually succeed has been estimated at up to 20% (RAND) 13% (Gartner) and 5%…

AI-Powered Trading Bot at a Stock Exchange Terminal: An image showing a futuristic robot or AI entity executing trades on a digital exchange floor, with rapid-fire streams of data (tickers, charts, algorithms) swirling around. Subtle references to milliseconds, code, or neural nets emphasize automation and speed.

Trading Places: AI in Financial Markets

AI in Industry, Artificial IntelligenceBy Mat Newcomb23 November, 2025

One cutting-edge area where AI is used is financial market trading. The banking industry has always been an early adopter of technology, and algorithmic trading is nothing new. As far back as 2019, fully 92% of all foreign exchange trading was done by algorithms rather than humans. For stock trading, the percentage is lower, but…

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