Oracle launches new agentic AI to take on complex tasks such as supply chains

Oracle has unveiled new agentic AI applications capable of tackling intricate tasks across diverse sectors, including supply chains, shipping, and healthcare. These applications are part of Oracle Fusion Claw, a governed agentic execution platform introduced at Oracle AI World in Las Vegas. According to Oracle co-chief executive Mike Sicilia, AI has advanced to the point where it not only informs businesses of what is happening but also predicts potential future outcomes.

Instead of navigating applications and managing processes, users can now specify their goals, and the AI system, understanding the business context, determines how to achieve those objectives. Sicilia emphasized that the goal with AI is to enable people to focus more on human-centric tasks, such as creativity and problem-solving, rather than spending excessive time on software navigation.

Oracle's agentic AI applications are designed to operate within established governance controls, allowing organizations to reason, compute, adapt, and execute specialist-grade work such as deep research, computation, simulation, modelling, and continuous replanning. The system demonstrated the potential for significant cost savings, with a shipping company saving $58,000 through the AI's analysis of its data.

Sicilia also highlighted a personal anecdote where a doctor had more time to engage with his patients after implementing the agentic AI system. Oracle has pledged a $1 billion investment over the next four years to bolster its partner ecosystem, aiming to foster the development of AI-powered solutions and services. This investment includes various benefits and incentives for partners, such as training and certification, technical enablement, and development resources.

In the Middle East, AI adoption is rapidly growing, particularly in countries like the UAE, Saudi Arabia, and Qatar. According to a survey by data science and AI platform company Dataiku, 62% of UAE chief information officers reported having over 50 AI agents in their organizations, with 15% operating more than 500 agents. The Middle Eastern clients are ambitious in their use of AI, with examples including airline companies negotiating new locations and the building sector using AI to optimize project timelines and reduce costs.

The focus in the region is shifting from merely implementing AI to leveraging it for meaningful business improvements and efficiency gains.