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We strive to change the conversation – literally – about data, information, and technology. Join the Great Data Minds team, advisors and special guests as we discuss topics that are at the forefront of the data world.
Based on 5 episodes we listened to · September 2026
Great Data Minds makes data strategy concrete by tracing AI governance, modernization and analytics back to ownership, usability and implementation.
Great Data Minds turns workplace data problems into moderated event conversations, moving from generative AI governance to public-sector modernization and financial data monetization. The discussions treat technology as an organizational problem as much as a technical one.
An AI answer lands on your desk: who owns it, and which documents did it read?
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Short reviews from the PlayNext desk, based on the episodes we processed.
A grounded look at how government data teams build trust by tackling pain points first and growing data literacy step by step.
Adam Carpenter treats government data modernization as a trust-building exercise: start by listening to agency pain points, focus on the quickest wins, and keep working down the list.
Governance gets practical here, with ownership and accountability treated as the real AI controls.
Data and AI governance is treated as an operating problem, not a slogan. The conversation stays focused on the questions that matter inside an organization: who owns the model, who controls what goes in, who owns what comes out, and who is answerable when things go wrong.
A practical case for turning data into usable, customer-facing value.
The piece frames data monetization as a distribution problem: making internal data useful enough that customers and employees actually use it.
AI rollout works best when ethics, governance, and security are planned together.
Generative AI is treated here less as a flashy tool than as an organizational problem. The discussion keeps ethics, governance, and security in the same frame, arguing that they need to be planned together at the macro level before the work is broken into narrower tasks.
Grounding GenAI in a narrow set of sources is the safer path when accuracy matters.
How to Navigate Generative AI in State and Local Government treats public-sector AI as a problem of accuracy and governance before it becomes a problem of models.
AI research, explained by the people doing it.
Talking shop with the people behind data products
Specialists walking through software's tradeoffs, one system at a time.
Founders and engineers on AI coding agents like Claude Code, and supply chain security.
Great Data Minds opens with Kalia Garrido welcoming listeners and introducing the organization as a Hike2 company and a collective of data activists working to modernize the world of data.
Kelly Garrido opens the session and tees up a conversation on data and AI governance frameworks.
Great Data Mines opens a live Data Monetization 101 session by treating data monetization as a real business problem, not a slogan.
The webinar opens by naming the elephant in the room: AI has a darker side too.
Kalia Garrido opens the episode by introducing Great Data Mines as part of Hike2 and outlining the services, education, events, and community content behind the brand.
A webinar introduction discussing data modernization and digital transformation services.
A webinar introduction discussing generative AI with a guest from CBRE.