Hockey insights / Independent perspective
Hockey judgment. Technical questions. A closer look at the data, tools and decisions connecting them.
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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…
Establishing a common vocabulary for hockey scouting and coaching enhances communication, supports effective data integration, and streamlines decision-making. This article presents a practical approach to developing,…
Integrating video footage with event data in hockey analytics offers significant potential to enhance decision-making, but it requires careful evaluation of vendor offerings, data compatibility, and…
Discrepancies between hockey data vendors complicate decision-making for teams and analysts. Establishing a systematic reconciliation framework improves confidence in insights and guides workflow integration. This article…
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