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The latest Tech Capsule session highlighted a pivotal shift in the technology landscape, moving beyond theoretical AI experimentation toward deep, structural integration. Here is a breakdown of the key trends shaping our industry:

https://youtu.be/EwGTW72Weew

For Jira administrators and power users, automation rules are essential for maintaining efficient workflows. However, a frequent stumbling block is the seemingly complex task of retrieving a sprint name within these rules. While standard fields are easily accessible, sprint data often feels hidden, leading to frustration when trying to create dynamic, context-aware notifications or updates.

https://youtu.be/qkWqW37ZgQ8

The narrative surrounding Artificial Intelligence is undergoing a fundamental transformation. As we move past the initial wave of experimental hype, recent industry developments signal a shift toward a more practical, integrated, and infrastructure-supported era of enterprise AI adoption.

https://youtu.be/E73sGQWcfFM

Jira self transitions are a powerful workflow feature where a work item moves from a specific status back to the exact same status. While the issue status does not technically change, Jira records the event as a valid transition, enabling the triggering of automation rules without forcing an issue into a new state.
https://youtu.be/DkmwvWvguZ4

The landscape of technology is rapidly evolving, with disparate industries converging on a common goal: the seamless integration of AI, software, and hardware. A recent technology trends session highlighted three key areas where this transformation is becoming reality.

https://youtu.be/xgmwMe_xV-8

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.

https://youtu.be/PKUpc3KieDc

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.
https://youtu.be/FcJAzfH14lY

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.

https://youtu.be/9dWJPkzA_HU

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.

https://youtu.be/LjMmEf1la80

trategic Shifts Shaping the Future | Ravi Sagar 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.

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.

https://youtu.be/FW6287ZSrL8