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Beyond Native Ads: The Agile Advantage

In a landscape shaped by privacy changes, fragmented platforms, and increasingly complex buying journeys, education marketers need more than isolated tactics. As Kassidy Kinner explains in this micro-segment from our Beyond Native Ads webinar, the real advantage comes from having a data foundation designed specifically for education—and that’s where Agile stands apart.

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The Realities of AI Data: AI Hallucination

In this micro-segment from our full webinar, The Realities of AI Data, Colton Meyers and Mike LeClare dig into one of the most misunderstood challenges in today’s AI landscape: hallucinations — and why even the most advanced models still fail when the underlying data isn’t accessible, accurate, or nuanced enough.

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The Realities of AI Data: Optimizing AI Outcomes

In this micro-segment from our full webinar, The Realities of AI Data, Colton Meyers breaks down one of the most important questions facing education organizations today: When is AI genuinely useful in a data workflow—and when can it actually compromise data accuracy and trust?

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The Realities of AI Data: Understanding the Risks of AI On Data Accuracy and Security

Artificial intelligence is becoming a central part of how organizations collect, enhance, and work with data. But as AI becomes more embedded in daily workflows, its risks are becoming clearer—especially when it comes to accuracy and security. In this 3.5-minute micro-segment from our full webinar, The Realities of AI Data, Agile’s Mike LeClare and Colton Meyers offer a candid look at how easily AI can misinterpret instructions, generate misleading outputs, or unintentionally expose vulnerabilities when not used deliberately.

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The Realities of AI Data: Districts of Distinction

When education data is used to measure progress, allocate funding, and guide district strategy, accuracy isn’t just important—it’s essential. But as Verlan Stevens explains in this micro-segment from our full webinar, The Realities of AI Data, even the cleanest datasets can tell the wrong story if the context behind them is missing.

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The Realities of AI Data: State Level Data Collection

When organizations think about data accuracy, they often focus on the outputs: dashboards, reports, or insights that shape big decisions. But as Mike LeClare explains in this micro-segment from our full webinar, The Realities of AI Data, accuracy starts long before the analysis—with disciplined, careful, and continuous data maintenance.

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