Personal Information

About Michael Ni

Michael Ni is Vice President and Principal Analyst at Constellation Research, covering the evolving Data-to-Decisions landscape—where CDOs, CIOs, and CPOs must modernize data infrastructure, integrate AI into decision-making, and scale automation to improve business outcomes.

Ni’s research examines how enterprises operationalize AI, automate decision-making, and integrate data management and analytics into core business processes. He focuses on the challenges of scaling AI-driven decision systems, aligning data strategy with business goals, and the growing role of data and decisioning “products” in enterprise ecosystems.

With 25+ years as a product and GTM executive across enterprise software, AI platforms, and analytics-driven technologies, Ni brings a practitioner’s perspective to research—balancing technical depth with execution strategies, product lifecycle management, and alignment to business models. His work helps enterprises and vendors develop AI-driven decisioning capabilities, structure automation frameworks, and align data strategy with business metrics.

Coverage Areas

  • Data and Analytics Platforms
  • Decision Automation Technologies
  • Artificial Intelligence and Machine Learning
  • Business Intelligence and Data Visualization
  • Data Integration and Orchestration
  • Real-Time Analytics and Decision Support

Previous Experience

25 years in product, marketing, channel/ecosystem management, and strategy in industries across Technology, Telco, Media, Professional Services, Online / Cloud Services, and B2B/B2C Retail industries. Prior roles span AI-driven decision automation, personalization platforms, application platforms/middleware, data operations, and revenue technology categories.

Professional Background

  • Chief Marketing Officer, Openprise
  • Chief Growth Officer, Coveo
  • Chief Marketing/Product, RichRelevance
  • Chief Product/Marketing Officer, Avangate/2Checkout (Verifone)
  • Vice President, Oracle & PeopleSoft

Education

  • BS, MIT
  • MS, Stanford
  • MBA, Harvard