Oracle Introduces 50 New GenAI Use Cases to Enhance Fusion Applications Suite

Oracle has recently expanded the capabilities of its Fusion Applications suite by introducing a remarkable fifty new uses for generative AI (GenAI). This advancement allows sophisticated vector-based statistical models to take on tasks such as creating narratives for financial reports, streamlining the job candidate selection process, and crafting detailed product descriptions. This integration is poised to transform existing business workflows in various areas including finance, supply chain, HR, sales, marketing, and service operations.

Collaboration with Cohere for AI Integration

The introduction of GenAI features has been made possible through Oracle's partnership with LLM company Cohere. This collaboration ensures that the gen AI capabilities are seamlessly incorporated into the current business processes of Oracle's customers. Despite the advancements, Oracle recognizes the importance of human oversight. They emphasize that before any GenAI-generated output is utilized within the business context, human intervention is essential to ensure its accuracy and relevance.

Oracle's spokesperson highlighted the need for such oversight: "There should be user intervention so nothing can get released until a user or a manager has interfered with the output… to judge whether it is valid. There are controls in there to mitigate the risks because we were very alive to that challenge," they explained. However, when pressed on the issue of liability for potential risks associated with LLM outputs, Oracle did not commit to taking responsibility for them, instead suggesting that they are focused on increasing productivity, though the effects have yet to be quantified with their clients.

Precedents in AI Adoption and Challenges

In September of the previous year, ServiceNow had also introduced similar LLM agents within its HR department. ServiceNow, much like Oracle, indicated it would not take responsibility for the AI's output. This raises questions for potential Oracle Fusion clients who may be more concerned with the intricacies of adopting core software rather than the additional features AI might provide.

Oracle Fusion's deployment has seen its share of difficulties in the past. Significant overruns in both cost and time marked the attempts to implement Fusion ERP and HR systems at Birmingham City Council and Edinburgh University. The former experienced a jump in implementation costs and the latter struggled with paying staff and suppliers post-implementation. While Oracle did not provide comments on these specific cases, they did celebrate many successful public sector rollouts.

As users and external integrators often handle Oracle Fusion's deployment, Oracle is being urged to address the underlying complexities that have led to implementation challenges for some of its customers.

Oracle, GenAI, Fusion