The latest news about Continual, the modern data stack, and machine learning delivered up fresh for your enjoyment.
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Simplifying AI for Customer Experience Delivery with Continual and the Hightouch Personalization API

January 25, 2023
Modern Data Stack
The Snowballing of Connected Data Apps

What are data apps and connected apps, and where are they going?

Aug 30, 2022
Choosing a Team: Why I Joined Continual

Andrew Tsao discusses the main reasons he chose to join the Continual team.

Aug 16, 2022
Modernizing MLOps: Why I Chose Continual

Traditional AI platforms require users to manage complex data infrastructure and write bespoke ML pipelines for each case. We let users build predictive models using a declarative workflow that radically streamlines operational AI at scale. 

Aug 10, 2022
Continual Earns SOC 2 Type 2 Compliance

Continual is proud to announce that we are now SOC 2 Type 2 compliant.

Aug 4, 2022
Modern Data Stack
Introducing Databricks Support: Operational AI for the Lakehouse

Discover the easiest path to operational ML on Databricks.

Jun 28, 2022
Modern Data Stack
Building a Modern Data Team: From Analytics to AI

What's the secret to building a great data team and enabling AI use cases? We'll dive in during this article.

Jun 28, 2022
Modern Data Stack
Building a Churn Insights Dashboard with Continual and Streamlit on Snowflake

Build and deploy an interactive data app with Continual predictions and Streamlit

Jun 15, 2022
Continual's $14.5M Series A and General Availability

We’re excited to announce the general availability of Continual and our $14.5M Series A to bring AI to the modern data stack.

Jun 8, 2022
Modern Data Stack
The Modern Data Stack Ecosystem: Spring 2022 Edition

In this article, we take a peek at what is developing in the modern data stack ecosystem and summarize the main tools and vendors to consider when reaching for new functionality.

Apr 12, 2022
Data-Centric AI with Continual and Snowflake

The combination of Continual and Snowflake empowers customers to operationalize AI at scale to drive revenue, operate more efficiently, and build innovative products and services. Continual is the first operational AI platform built natively for cloud data warehouses and the modern data stack. Snowflake’s cloud data platform enables users to work with their data, virtually without limits on scale, performance, or flexibility. Operationalizing ML use cases has never been easier or faster.

Apr 6, 2022
Use Case
Getting Started with Continual and Snowflake

Step through an easy example of how to build an ML solution with Continual and Snowflake.

Apr 5, 2022
Continual is SOC 2 compliant

Continual is proud to announce that we are now SOC 2 Type 1 certified and compliant, with SOC 2 Type 2 in progress.

Mar 16, 2022
Machine Learning
Feature Engineering for Modern Data Teams

At Continual, we believe that feature engineering is the most impactful part of the ML process and the one that should have the most human intervention applied to it. In this article, we’ll break down feature engineering into several different concepts and provide our guidance on each. 

Mar 3, 2022
Use Case
Preventing Customer Churn with Continual, Snowflake, and dbt

In this use case deep dive, learn how to tackle the customer churn use case using Continual, Snowflake, and dbt.

Feb 8, 2022
Machine Learning
Choosing the Right Evaluation Metric

Model performance depends on the metric being used. Understanding the strengths and limitation of each metric and interpreting the value correctly is key to building high performing models. In part 1, we cover four evaluation metrics commonly used for regression problems and demonstrate how to use them when building models on Continual.

Feb 2, 2022
Announcing Our $4M Seed and Continual Public Beta

We’re excited to announce our public beta and $4M in seed, led by Amplify Partners, to bring operational machine learning and AI to the modern data stack.

Dec 16, 2021
Modern Data Stack
Introducing Continual Integration for dbt

Today we’re pleased to announce Continual Integration for dbt. We believe this is a radical simplification of the machine learning (ML) process for users of dbt and presents a well-defined path that bridges the gap between data analytics and data science.

Dec 14, 2021
Machine Learning
Where's the CI/CD in ML?

While many have called for stronger adherence to software development best practices in machine learning (ML) and artificial intelligence (AI) as well, today’s ML practitioners still lack simple tools and workflows to operate the ML deployment lifecycle on a level on par with software engineers. This article takes a trip down memory lane to explore the benefits of the CI/CD toolset and the detriment of their unfortunate absence in today’s ML development lifecycle. 

Dec 13, 2021
Machine Learning
Getting Started with CI/CD and Continual

While CI/CD is synonymous with modern software development best practices, today’s machine learning (ML) practitioners still lack similar tools and workflows for operating the ML development lifecycle on a level on par with software engineers. In this article, we'll explore how Continual provides a streamlined operational AI workflow that works seamlessly with the CI/CD approach and allows you to productionalize your AI workflows in a snap.

Dec 13, 2021
Modern Data Stack
The Modern Data Stack Ecosystem - Fall 2021 Edition

Continual presents a who's who of the Modern Data Stack. Interested in the emerging trends, or just looking to get started? We've got it all covered in this article.

Oct 28, 2021
Machine Learning
Operationalizing AI: Lessons from the Field

Why do some companies struggle to operationalize AI and others succeed? In this article, we will look at the common pitfalls to avoid and illuminate a path to success with operational AI.

Oct 20, 2021
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.

Oct 6, 2021
Machine Learning
Why You Need a Feature Store

Feature stores are driving a revolution in machine learning and are a key component to operationalizing AI. In this blog we'll discuss what they are, how they came to be, and why you need one.

Sep 28, 2021
Machine Learning
Is Data-Centric AI the Next Big Thing?

Data-centric AI is poised to drive the next generation of ML platforms. Read our take on how the ML platform landscape has evolved over the years and why the data-centric approach is here to stay.

Aug 11, 2021
Modern Data Stack
The Future of the Modern Data Stack

We've been thinking a lot about the future of the modern data stack. Here are five predictions about where we think it will go.

Jul 14, 2021
Introducing Continual – the missing AI layer for the modern data stack

Today, I’m extremely excited to introduce Continual. Continual is the easiest way to maintain predictions – from customer churn to inventory forecasts – directly in your cloud data warehouse. Read more.

Jun 2, 2021
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