A Compendium of Stupendous Amazing Things.

Hall of Shame: Save Yourself From Embarrassing AI

As AI takes on increasingly important jobs, mishaps have the potential to be more than just embarrassing - they can be catastrophic. So what can you do to make sure your AI doesn’t embarrass you (or worse)?

Spring Cleaning the Pickaxe Trophy Shelf

Generally speaking, we’re more focused on doing our work than talking about it, and so our victories sometimes slip through the cracks. But last year, we won or were finalists for not one, not two, but three awards, all celebrating work we’re proud of.

Remember That Time a Chatbot Engaged in Insider Training?

When [the AI] was then instructed to prevent the company's financial decline, it independently concluded that averting an organizational setback was more important than adhering to the rules, and leveraged the insider information to make a trade.

How to AI Without Breaking the Bank

Start by determining your use cases. What does your AI actually need to be able to do? How do you plan to use it on a daily basis, and who is going to be the one pressing the buttons? What do they need to be…

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.

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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