Systems | Development | Analytics | API | Testing

From online workshops and feature spotlights to customer stories that can inspire your own processes, we’re sure you’ll find something to love in this month’s update 👇

The app size on my phone is 1GB which is double the size of my next largest banking app and 10 times the size of the following two. Does SoFi care to optimize the app? I’m hoping getting rid of the crypto exchange will reduce the overall size.” Said Mizzo12 on Reddit For too long, have we sat silent and allowed our app sizes to grow too big! While some of us enjoy the luxury of 5G internet and what seems like infinite storage, not everyone does! So..

Segment is a popular customer data platform (CDP) that enables users to collect and manage customer data in different formats and from different sources. The platform hosts tools to transform, migrate, and manage data with third-party destinations, including data warehouses. Segment is a powerful tool that can appear complex.

Today, we're making global deployment more accessible than ever with our new Eco Instance types, starting at $1.61 per month ($0.0000006 per second). We're also increasing the resources of the Free Instance type, giving you more to work with at no cost.

In 2023, generative AI took the spotlight, emerging as the most talked-about technology of the year. This content creating powerhouse can do everything from text, image, and video generation to answering questions through natural language queries. And its potential uses are vast. While many industries are still in the experimental phase, the insurance sector is poised to benefit significantly from the integration of artificial intelligence into its ecosystem.

Platform Engineering vs. DevOps: While they both share similar goals, here are 3 key differentiating principles. See how they apply to your tech stack.

The data mesh approach has gained popularity over the last couple of years as organizations look for reliable ways to break down data silos. At first, data lakes looked like a good way to improve data management and make information more discoverable. Unfortunately, data lakes — and data warehouses — don’t always conform to business needs. They’re often slow and even unresponsive to queries. Potentially even worse, they can still lead to data silos.

This tutorial shows how to use ClearML to manage MONAI experiments. Originating from a project co-founded by NVIDIA, MONAI stands for Medical Open Network for AI. It is a domain-specific open-source PyTorch-based framework for deep learning in healthcare imaging. This blog shares how to use the ClearML handlers in conjunction with the MONAI Toolkit. To view our code example, visit our GitHub page.

At Integrate.io, we work with companies that build data pipelines. Some start cloud-native on platforms like Amazon Redshift, while others migrate from on-premise or hybrid solutions. What they all have in common is the one question they ask us at the very beginning: And so that’s why we decided to compile and publish a list of publicly available blog posts about how companies build their data pipelines.

You need metrics to do your job well as a marketer but getting clear, meaningful metrics is a huge challenge. While digital advertisers and paid media professionals are on the hook to build ample sales pipeline and maximize return on ad spend (ROAS), they’re also expected to deliver personalized advertising content while navigating evolving privacy requirements and adhering to consumer expectations—all while extracting insights from siloed ad platforms.