Mike Farrell on Muck Rack

Mike Farrell

New York, United States
As seen in: MSN, Yahoo Entertainment, BBC, BBC Mundo, Business Insider, MSN UK, Canadian Broadcasting Corporation (CBC), CBC Sports, New York Daily News, WWJ-TV (Detroit, MI) and
Former Sr. Finance Editor, Multichannel News, B-movie fan. Opinions are my own.
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Articles

Introducing Rules Automation: Stop rebuilding the same rule twice

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By Ben Brook, Mike Farrell, Adrian Scott Fine
| Transcend Field Trips
Every enterprise knows its data policies. But getting the answer to "can I use this data?" into connected systems, every workflow, and each team that needs it is a different problem entirely—one that gets rebuilt, re-routed, and re-engineered any time something new needs it. Privacy writes the policy. Legal approves it. Engineering builds a pipeline to apply it. And somewhere in that handoff, compliance slips or activation stalls. Rules Automation changes that pattern.
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Launch faster with the RACI Framework for AI Governance

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By Ben Brook, Mike Farrell, Morgan Sullivan
| Transcend Field Trips
One question is quietly stalling AI initiatives across enterprises today: Can I use this data? It sounds simple. In reality, answering that question requires coordination across IT, marketing, privacy, legal, and leadership. Each team owns part of the decision, but few organizations have clear ownership of how those decisions are made and enforced. Against this backdrop, requests get routed from team to team, approvals stall, and governance becomes a bottleneck.
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A three-stage maturity model for enterprise data permissioning

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By Ben Brook, Mike Farrell
| Transcend Field Trips
We are living through the single largest expansion of consumer data use cases in a generation. Every team in every business now wants to do something new with the customer data already held by the company. Marketing wants an agent that hyper-personalizes every message. Product wants to ship a copilot that knows everything the company knows about the user. Data science wants to fine-tune a foundation model on the company's data.
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