Hockey insights / Independent perspective
Hockey judgment. Technical questions. A closer look at the data, tools and decisions connecting them.
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Managing data contracts between hockey organizations and vendors involves clear identification schemes, unambiguous data definitions, rights management for AI training and use, and systematic processes for…
This consulting perspective explores how hockey organizations can foster staff adoption of new technologies by integrating analytic tools directly into existing meeting workflows, minimizing dashboard proliferation.…
This article explores the challenge of data ownership and roadmap coordination among coaching, analytics, and IT groups in hockey organizations. It offers a structured consulting viewpoint…
As hockey organizations increasingly integrate vendor-supplied AI technologies into their operations, clear agreements regarding AI training data and usage rights are essential. This article outlines key…
This article presents a practical framework for hockey organizations assessing AI assistants, focusing on evidence-based validation, the importance of abstaining under uncertainty, and balancing human review…
Exploring practical criteria and considerations for initiating AI-based pilot projects within hockey operations, focusing on manageable scope, human oversight, and clear acceptance standards.
This article outlines a pragmatic AI governance checklist tailored for hockey operations. It highlights key considerations for integrating AI tools within coaching, scouting, and front-office workflows…
Effective integration of hockey data and video from multiple sources requires a carefully designed source identification crosswalk. This article outlines practical methodologies, acceptance criteria, and buyer…
This article outlines essential acceptance criteria and evaluation methods for implementing coaching video workflow pilots in hockey. It provides practical guidance for aligning technology capabilities with…
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