Most data migrations run over time or budget. Here are the root causes, a gated phase-by-phase plan, AI guardrails, and a checklist for CEOs and CIOs.
The Model Is the Easy Part: Why the Agentic Harness Decides What Ships
The same AI model can cost 5x more depending on the harness around it. Here’s what an agentic harness is, what we’d build first, and the controls we won’t skip.
Transform Pub/Sub to Firestore Database in GCP
This year, the client I work with has started exploring the offerings in Google Cloud Platform (GCP) after investing years into the Microsoft Azure cloud. The opportunity has allowed me to explore a few new technologies that this post will cover and that you will hopefully find interesting.
In short, I was tasked with transforming Pub/Sub to Firestore Database in GCP. The scenario explored in this post takes an FHIR healthcare data feed, extracts telephone and email information, and then stores that in a Firestore database.
Predicting River Flow with a Supervised Learning Time Series Model
In this blog, we will build a flow rate prediction algorithm for the Norfork River in Arkansas. Both farmers and recreationists are heavily dependent on the flow rate of the river. As the river flows faster, the risk of flooding increases and flooding can destroy crops for farmers and ruin vacations for tourists.
My goal with this flow rate prediction algorithm was to give a better idea of what the next 4 days of river flow will look like. Below, I will discuss the data science process that I underwent to make these predictions.