New Atlassian Marketplace Offerings Target Execution Visibility, Governance, and Strategic Alignment in the AI Era
artificial intelligence
Federal AI Security Push Signals New Expectations for Continuous Validation and Threat Readiness
For years, enterprise resource planning (ERP) teams have watched the AI race from the sidelines. Bigger models, faster inference and higher benchmark scores. Impressive on paper. Rarely useful when provisioned.
Artificial intelligence is rapidly moving from experimentation to execution across enterprise software. Yet many food manufacturers and distributors still face a familiar challenge: how to automate operational work without introducing
Enterprise AI has a context problem. Many organizations now use AI assistants across their business applications. But critical business logic often remains scattered across multiple systems. As a result, teams
As food and beverage manufacturers continue modernizing ERP environments, many organizations are discovering that operational visibility often depends less on collecting data and more on making ERP data usable across
As finance leaders face growing pressure to accelerate decision-making while reducing operational complexity, ERP vendors are increasingly embedding automation and AI directly into the workflows finance teams rely on every
Electronic Data Interchange (EDI) has been the backbone of supply chain, retail, logistics, and healthcare operations for decades. Yet despite its importance, EDI remains one of the least modernized components
How combining modular process transition, automated identity management, and continuous AI governance compressed a five-day manual bottleneck into 15 minutes.
Celonis has launched the Celonis Context Model and announced an agreement to acquire Ikigai Labs, a move the company says is designed to help enterprises make AI more reliable by
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