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At Oracle AI World, IBM emphasized that successful AI adoption in enterprises relies not on flashy models but on robust foundational preparations, governance, and aligned business processes, showcasing that scalable AI implementations require clean data and integrated workflows.

At a Salesforce roundtable, executives predicted that by 2026, companies will face a clear divide based on their adoption of AI agents as operational infrastructure, leading to significant changes in voice communication, engineering delivery models, governance structures, and user experiences.

Epic's development of a healthcare-native ERP aims to integrate seamlessly with its EHR and AI features, potentially disrupting the market by consolidating operational functions while forcing health systems to reflect on their existing application frameworks, though full capabilities are not expected until 2027.

Executives are shifting their focus from the hype of AI to practical implementation, emphasizing the importance of data activation, hybrid reasoning models, and effective change management to ensure AI agents deliver value in real-world applications.

The Salesforce 7th annual State of Service report reveals a rapid transformation in customer service driven by AI agents, predicting that by 2027 AI will resolve half of service cases, prompting organizations to enhance data integration and redefine service roles, ultimately positioning service as a blueprint for broader enterprise architecture change.

At the Agentforce Tour in NYC, Salesforce and MuleSoft emphasized a shift towards AI-driven automation, integrating APIs, RPA, and AI agents into a cohesive model for orchestrating intelligent workflows across systems.

Oracle's rebranding of CloudWorld to Oracle AI World emphasizes the integration of artificial intelligence as a fundamental aspect of ERP systems, shifting focus towards tangible AI-driven business outcomes and evolving the roles of ERP professionals into AI strategists.