Systems | Development | Analytics | API | Testing

October 2021

The Modern Data Stack Ecosystem - Fall 2021 Edition

In our previous article, The Future of the Modern Data Stack, we examined the motivations of the modern data stack, its current state, and looked optimistically into the future to see where it is headed. If you’re new to the modern data stack, we highly recommend giving the aforementioned article a read. A question we often get from new adopters of the modern data stack is “What tech should we be looking into?”.

Operationalizing AI: Lessons from the Field

A casual stroll through recent tech headlines in the past few years makes two things abundantly clear: investment in AI is at an all-time high, and companies really struggle to get value out of AI technology. At first glance, these ideas seem to be at odds with each other: why consider investing in a field that hasn’t lived up to the hype? If you dig into the details, you’ll notice that a gap exists between the development and production use of AI in many companies.

Why I joined Continual

Today, I’m excited to share that I’ve joined Continual as Head of Marketing. Continual is radically simplifying the path to operational AI with the first continual AI platform built for the modern data stack. More in a bit on what that means, but the “so what?” is about opening the door for more organizations to embed AI across their business at scale.