Integration & Orchestration in the Age of AI: From Copilots to Executable Decisions
January 14, 2026
Enterprise AI is shifting from insight to execution, and integration is becoming mission-critical.
Constellation analyst Mike Ni and IBM's Scott Brokaw discuss why yesterday’s human-centric, storage-first data architectures are failing AI agents and how unifying structured and unstructured data with strong governance, lineage, and access control unlocks real business impact.
Learn why data & AI leaders must simplify their tooling, adopt a horizontal integration control plane, and design for deterministic, reliable execution at scale so AI can safely close the loop between data, decisions, and actions.
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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…
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Published
January 14, 2026
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