How to use BigQuery multilingual embeddings, vector index and vector search to search and get results in a chosen language.

In today’s digital age, businesses face an ever-increasing array of risks, particularly fraud and cybersecurity threats. McKinsey states, “Cyberattacks will cause $10.5 trillion a year in damage by 2025.” That’s a 300% increase from 2015 levels. These risks can significantly impact a company’s bottom line, reputation, and customer trust.

Modern edge computing is transforming industries including manufacturing, healthcare, transportation, defense, retail, energy, and much more—pushing data management to far-reaching data sources to enable connected, low latency operations and enhanced decision making. These new use cases shift workloads to the left—requiring real-time data streaming and processing at the edge, right where the data is generated.

At the latest WWDC, Apple unveiled an exciting new feature: dynamic tinting for app icons. This update calls for developers to adjust their app icons to support this functionality, ensuring a more visually consistent experience across iOS. This change is significant for maintaining a seamless user interface, allowing app icons to adapt to various system-wide themes, including dark mode, and providing a cohesive look throughout the operating system.

Swift is a powerful open source programming language created by Apple in 2014 for the iOS, iPadOS, macOS, watchOS, and tvOS, known for its modern syntax, safety features and fast performance. Designed as a successor to Objective C, Swift has become a hugely popular choice for frontend and mobile app development, and it’s also shaping up to be an excellent choice for server-side development.

While cloud computing adoption continues to accelerate due to its tremendous value, it has also become clear that edge computing is better suited for a variety of use cases. Organizations are realizing the benefits of processing data closer to its source, leading to reduced latency, security and compliance benefits, and more efficient bandwidth utilization as well as supporting scenarios where networking has challenging constraints.

It’s 3 a.m., and your system just went down—again. That’s a nightmare scenario for any IT leader, whether due to a technical glitch or a security incident. This is exactly why incident case management matters. Think of it as air traffic control for your IT environment. Planes in the sky, tickets in the system—both must land safely. Incident case management is about tracking and managing those tickets—incidents—to ensure they get resolved swiftly.

Quality gates are just what they sound like: They ensure the delivery of high-quality software by serving as quality milestones (or “gates”) during various stages of the software development lifecycle (SDLC), preventing bad code from passing through. Here, we explain what are quality gates, how they work, and how to implement them using static analysis. Read along or jump ahead to the section that interests you most: Manage Your ci/cd pipeline with Static Analysis.

Despite the seemingly nonstop conversation surrounding AI, the data suggests that bringing AI into enterprises is still easier said than done. There’s so much potential and plenty of value to be captured — if you have the right models and tools. Implementing advanced AI today requires a solid data foundation as well as a set of solutions, each demanding its own tools and complex infrastructure.

Countly 24.05 is here, bringing many updates and enhancements to your favorite product analytics platform. In this article, we'll cover some of the most significant changes, including the introduction of Profile Groups, the revamped Alerts 2.0, redesigned Feedback Widgets, a strategic new Data Populator, and Date Picker Presets. Prefer watching instead of reading? Watch our YouTube video Countly 24.05.