A Compendium of Stupendous Amazing Things.

How We Trained Your AI Agent, Part 2: Reinforcement Learning

To improve, AI agents need feedback on their performance (just like people do). This second phase is where the reinforcement learning begins.

Impossible Reports

Sometimes data pipelines can seem like they’re working, not trigger any alerts, and actually have something massively wrong. This is where we recommend Impossible Reports.

How We Trained Your AI Agent

Your approach to training an AI agent is just as important as your approach to training any new hire. While AI (obviously) learns differently than people do, setting it up for success with a solid foundation is crucial to making it an effective part of…

New Year, Who Dis

We’re diving into trending tech with a crash course on “Agentic AI,” celebrating the evolution of college sports, and sharing our own new year's resolution

What the heck is agentic AI, and how can it make your life better?

To sum it up briefly: agentic AI systems are trained on specialized data sets, and capable of independently solving multistep problems in service of a particular goal.

Moving the Chains: The Evolution of American College Sports

The NCAA isn’t done evolving - it’s expected that there will be even more shifts in compensation models, and that NIL laws will continue to broaden. This means there are a lot of new opportunities for brands and other companies to find entry into college…

Case Studies

Nexstar CDP Development, Event Data Schema, & Implementation

Nexstar needed a better way to understand user behavior, ad anomalies, and advertising performance across the hundreds of federated stations and websites that they operate from a mix of technology platforms built by them, or that they had acquired from multiple legacy parent companies over the years. The result was inconsistent and disparate reporting.

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Increasing Ad Revenue by Improved Reporting

With thousands of advertisers, this Publisher was spending several days each month configuring Google Data Studio to generate campaign-close reporting. Not only were the visualizations lackluster and off brand, but the Publisher was also running into significant INFOSEC concerns granting advertisers access to their data in a secure way.

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