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Recent updates across the tech landscape highlight a move toward operational maturity and strategic focus. Here is a breakdown of the latest developments from Atlassian, ASML, and Samsung.

Jira Cloud automation is a powerful tool for managing workflows, but it can present challenges when dealing with specific field types or external data formats. In our recent session, we covered two key techniques to help you build more robust and dynamic automation rules: updating Insight custom fields via JSON and converting text strings into usable date objects.

In a recent session, Aaditya Kumar provided a comprehensive tutorial on Jira Cloud automation, aimed at resolving common confusion among new administrators regarding the differences between workflow triggers, workflow post functions, and Jira automation rules.

Manual data entry—copying server IDs, asset IDs, and order numbers from support tickets—creates significant operational bottlenecks. This process is not only repetitive and time-consuming but also introduces a high risk of human error when handling hundreds of daily tickets.

Date calculations are essential for operational insights, such as tracking ticket age or due dates. Manual calculations fail to scale, making Jira Cloud automation a vital tool for business efficiency.

Setting Up Your First Automation Flow

To calculate date differences, start by configuring a trigger—such as a status transition—and pairing it with an "Edit Issue" action. Target a custom field to store the result, ensuring you have a clean setup for your data.

In the latest Tech Capsule session, the overarching theme centered on how long-term strategic decisions—ranging from corporate licensing shifts to national energy policies and massive industry consolidations—are set to define the technological and economic landscape of the next decade.

The technology sector continues to evolve rapidly, with major developments from Atlassian, Apple, and OpenAI signaling a shift toward greater transparency, strategic domestic investment, and more intuitive human-AI interaction. Here is a breakdown of the latest updates.

Building automation rules from scratch can be a daunting and time-consuming task for project managers. The Jira Cloud automation template library offers an efficient alternative, providing readymade blueprints that replace manual rule creation. Instead of starting with a blank canvas, users can leverage pre-built templates designed by Atlassian to automate common business scenarios quickly.

The landscape of technology is shifting rapidly, from the way we format our documents to the hardware powering global intelligence and the models performing autonomous work. In this post, we explore three pivotal updates from Atlassian, SK Hynix, and xAI.

Every administrator knows the feeling: it's Monday morning, and suddenly, automation rules are failing across the board. The instinct is immediate—start debugging triggers, conditions, and smart values. But before you dive into the weeds of configuration, pause. The problem might not be your rule at all.