AI Agent & Copilot Podcast: BouMatic's Michael Fisher Shares Strategies for AI Deployment, User Adoption
In this episode of the AI Agent & Copilot Podcast, John Siefert
welcomes Michael Fisher, CIO, BouMatic, who shares how his company
is using and deploying AI, and gives his overall impressions of the
technology and how to address its challenges.
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Key Takeaways
Overview: Fisher gives an overview of his role
as Chief Information Officer at BouMatic, all within the
context of the dairy equipment industry that’s evolving toward
larger, consolidated operations. BouMatic is the "third largest
dairy equipment manufacturer in the world," and he gives
context on the difference in marketplaces.
AI: The rapid rollout of copilots and the pace
of AI innovation have created a constant need to catch up on
functionality, licensing, and deployment strategies, explains
Fisher, prompting teams to shift from intended roadmaps to more
flexible frameworks. As Fisher describes, “We're in a bit
of a catch-up game all the time... not just with AI in general,
but even in its deployment.”
Addressing deployment challenges: Deploying AI
has revealed long-standing data challenges, which Fisher
compares to uncovering a “junk drawer” of neglected
information. To address this, the BouMatic team uses sandbox
environments for testing and follows a "five-pillar approach."
Two of these pillars focus on user upskilling and cultural
change, highlighting successful deployment through use cases,
structured rollout plans, and ongoing support to ensure ROI.
AI experimentation: When exploring AI, sandbox
environments allow teams to experiment safely and securely,
learn from both successes and failures, and prepare for
production with a user-focused, iterative approach, notes
Fisher.
Contributors: John Siefert, Michael Fisher
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