AI

The Rise of Answer Engines: How to Maximize Your Data for the AI-Driven Future

By Dan Jaye | May 20, 2025

Answer engines reward clarity, authority, and structured data. They penalize vague claims, inconsistent terminology, and siloed systems. The companies that win in this next era ...

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The AI Data Enablement Challenge for Marketing Organizations

By Daniel Jaye | Feb 28, 2025

Organizations racing to implement AI solutions face a fundamental paradox: the very data infrastructure that has served them well for analytics and reporting is fundamentally misa...

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Breaking the Performance Ceiling: Marketing Data Needs its own Infrastructure

By Daniel Jaye | Feb 14, 2025

Marketing data needs its own infrastructure. Aqfer was designed to stress test the core components that define modern marketing data infrastructure.

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The AI Inflection Point: Challenges and Opportunities for Marketing Solution Providers

By Daniel Jaye | Feb 4, 2025

For years, marketing solution providers have accepted inefficiencies in their data processing workflows as the cost of doing business. Over-provisioning, rerunning failed jobs, and...

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Using Diverse Models to Overcome AI Hallucinations

By Daniel Jaye | Sep 24, 2024

The key to combating AI hallucinations lies in diversity – not just in data, but in the very models and algorithms we use.

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Navigating the AI Revolution in Marketing

By Mitch Paletz | Sep 18, 2024

The future of marketing is very likely AI-driven. But, a strong data foundation is critical to AI success.

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The Future of AI Decisioning Platforms

By Daniel Jaye | Sep 11, 2024

To maximize AI decisioning platforms, they need to be fed the right information. When paired with data warehouses for big data processing and knowledge graphs for contextual insigh...

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Unified Data: The Foundation for Effective AI in Marketing

By Wes Marsh | Sep 4, 2024

AI has the potential to revolutionize how businesses interact with their customers and optimize their marketing spend. But this potential can only be fully realized with a strong f...

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Reinforcement Learning in B2C Marketing: Maximizing Business Value

By Wes Marsh | Aug 21, 2024

Reinforcement learning is a type of machine learning where an AI agent learns to make decisions by interacting with its environment. In the context of B2C marketing, this approach ...

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Summer 2024’s Most Controversial Topics in AdTech and MarTech

By Claire Glisson | Jul 24, 2024

From the AI bandwagon to privacy woes to the ever-evolving Cookiepocalypse drama, there are a ton of contentious topics in the AdTech and MarTech industries to stay on top of. Thes...

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