Pickaxe Foundry

Happy Opening Day to the Yankees and Red Sox, and our clients at GOTHAM, YES Network and NESN! ? ? https://www.mlb.com/

?? Why pay more for AI when you can optimize it for less? Here’s the key. The AI scene has been shaken up in the past few weeks thanks to DeepSeek, which spawned a lot of discourse around how cheap and available AI might become in the future. But what can you do *right now* to keep costs down? We’ve put together some practical ways you can implement an AI strategy without breaking the bank. #CostOptimization #CostEfficiency #DeepLearning #AIstrategies #TechInnovation #MachineLearning #ArtificialIntelligence #AIsolutions

Anyone working in data—whether you're a data engineer, analyst, or BI person—knows the pain of being told by a customer that something is wrong with your dashboard. The worst part? Realizing they were right. In our latest video, Eric Callahan highlights the benefits of data observability. Instead of manually checking every piece of data, observability tools monitor your pipelines, alerting you when issues like missing data or sudden outliers (like a data feed error or a rogue zero) pop up. It helps catch errors before they reach the customer, so you can fix them and keep your reputation intact. Check out our latest Voice Notes episode below:

? MEET THE TEAM - KINGA GIERCZYCKA ? After puzzling out efficient solutions all day at work, Kinga relaxes at home by... solving puzzles. Our Data Engineers just can't quit. Learn all about Kinga's role at Pickaxe Foundry and what she does in her spare time below.

What if you could teach your AI to think like your team? In our second phase of training your AI agent, we're focusing on RLHTF (Reinforcement Learning from Human Team Feedback). By gathering a diverse group of people to grade your AI agent's outputs, you can ensure that it will deliver responses that meet the needs of every department. Check out our latest blog post below!

This month, we're comparing the process of training AI agents to do your data analysis against training human analysts, exploring what the insurance industry has to do with your data stack, and learning how impossible reports can alert you to inaccuracies in your data.

Data engineering isn’t just technical – it’s business-critical for driving seamless operations and growth. In this video, gabe fabius dives into the complexities of data engineering and its role in automating and integrating systems. He explores how out-of-the-box tools and custom solutions work together, the challenges of handling data sources, and the importance of maintaining and refining these processes. He also discusses the critical role of monitoring and proactive communication to prevent and address issues before they impact customers. Whether you're dealing with InfoSec hurdles or operationalizing data, this video offers insights into the often overlooked but crucial work of data engineers and DevOps teams. Check out our latest Voice Notes episode below:

??Tired of data inaccuracies slipping through the cracks??? Even when data pipelines seem to be running smoothly, they can still have hidden issues that go unnoticed – until it's too late. That’s where we recommend Impossible Reports. Learn how to proactively identify and fix problems in your data before they reach your stakeholders.

Recently, we hired a new (and brilliant) data analyst. Around the same time, we began training an AI agent to do data analytics. It goes without saying that the process of training each one has been dramatically different! There are a lot of things that come naturally to our human analyst (like understanding context and the "question behind each question") that our AI agent needs some extra help to learn. So how are we teaching it? We wrote a blog post to outline the unique experience of training an AI agent, and how you can approach the process. Check it out below!

?? While we all wear a lot of hats here at Pickaxe, none of us do with as much aplomb as Roman. Meet our Lead Data Engineer! ??