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Context engineering: managing context quality for more efficient, effective AI
In 2025, companies spent a collective $581 billion on AI. The results were underwhelming: according to a study by MIT, 95% of Enterprise AI pilots showed zero impact on organization’s bottom lines. In short, the vast majority of AI pilots are unsuccessful. The reflex is to blame the models. The evidence points somewhere easier to […]
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in Context
How a context graph makes enterprise AI more accurate and less expensive
What agent-ready knowledge bases require, and why connected retrieval changes the answer Enterprise leaders continue to be frustrated by the results they get from their AI systems and investments. Even with powerful models and extensive internal content, the answers received sound convincing but fall short on relevance and accuracy because they lack sufficient context on […]
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in Leadership
Millions of users moved to cloud in just one year thanks to FastShift
Guiding your organization through the next technological wave of intelligent work requires a platform built to scale innovation and accelerate cross-functional collaboration. The Atlassian Cloud Platform delivers that future today, with the context-rich Teamwork Graph and embedded AI experiences on an enterprise-grade foundation engineered for security and scale. Atlassian Cloud breaks silos to unlock faster […]