Systems | Development | Analytics | API | Testing

2023 was a year of significant developments in the fields of business intelligence (BI) and analytics. With a 50% rise in overall adoption of self-service BI solutions, continued focus on data governance and data security, and ever-evolving integration of automation and artificial intelligence (AI) in analytics, many businesses have transformed their use of data considerably.

At our recent Snowday event, we announced a wave of Snowflake product innovations for easier application development, new AI and LLM capabilities, better cost management and more. If you missed the event or need a refresh of what was presented, watch any Snowday session on demand. Let’s dive into all new releases in September, October and November.

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.