2. Oracle’s Focus on AI: Current and Future Roadmap

Artificial intelligence (AI); it has been the core pillar of Oracle’s cloud strategy. Since last year, it has already embedded advanced machine learning (ML) and AI across many of its cloud platforms and applications, with the future roadmap to expand its offerings and incorporate predictive analytics. With the future on the horizon, these capabilities will allow organizations across industries to innovate faster and create more personalized customer experiences. Industries like retail, manufacturing, hospitality, construction, and engineering have already realized significant benefits. With this roadmap, Oracle is positioned to drive further AI adoption across enterprises, enabling them to automate processes, reduce costs, and make smarter, data-driven decisions.

As an example, with the integration of AI into Oracle’s Autonomous Database, businesses can leverage self-managing capabilities, including automated performance tuning, backups, and security patching. In addition, AI is playing a pivotal role in Oracle’s cloud security systems, enabling real-time threat detection and proactive responses to minimize risks in an increasingly complex cyber landscape. Oracle’s continued investment in AI infrastructure will support large-scale AI model training. This allows businesses across industries to tap into cutting-edge AI without building the infrastructure.

Oracle’s Ongoing Investment in OCI for AI

Oracle continues expanding its AI capabilities through Oracle Cloud Infrastructure (OCI). By expanding its AI services on OCI, Oracle allows enterprises to build, train, and deploy machine learning models at scale, making AI more accessible to a broader range of industries.

Oracle’s strategy for OCI, dubbed “Full Cloud and AI Where You Need It,” focuses on delivering AI-driven solutions that integrate seamlessly across cloud environments. This means businesses can access and deploy AI solutions wherever they operate, whether in the public cloud, hybrid environments, or on-premises. With these capabilities, Oracle aims to democratize AI and empower organizations to accelerate innovation, automate processes, and optimize performance across all their operations.

AI in Oracle Fusion Applications

Oracle is introducing advanced AI capabilities within its Fusion Applications. These new AI features bring automation and intelligence into daily workflows, making processes more efficient and reducing manual efforts.

One key innovation is Retrieval Augmented Generation (RAG) Agents, which use AI to deliver highly relevant and specific information based on the context of the query. Unlike traditional systems that provide general search results, RAG Agents combine large language models with specific data sources to generate precise responses tailored to the user’s needs. This results in faster, more accurate insights, empowering users to make better-informed decisions quickly.

By embedding AI directly into Fusion Apps, Oracle is making it easier for businesses to unlock the power of AI, driving productivity gains and improving operational efficiency across various application functions and industries.

Oracle CiC Group and Vertical-Specific AI Models

Oracle has launched a new initiative in collaboration with key clients to develop vertical-specific AI seed models, focusing on predictive risk management. This initiative aims to tailor AI solutions to the unique needs of different industries, enhancing accuracy and decision-making in risk assessment.

As part of this effort, Oracle is offering a free program for clients interested in adopting these AI models. This program provides them with the tools to integrate advanced predictive capabilities into their operations, accelerating AI adoption while delivering targeted, industry-specific insights to drive better business outcomes.

Accelerating Code Development with Generative AI

A key highlight from Oracle CloudWorld is using Oracle’s 23AI database and AI Assist tools to speed up code development. These tools leverage generative AI to automatically generate DDL schemas, JSON mappings, and even code logic, drastically reducing the need for manual coding.

This shift empowers developers to focus on higher-level tasks by automating complex, repetitive processes. With AI assisting in creating intricate code structures, developmentbecomes faster, more efficient, and less prone to human error, transforming how code is written in modern applications.

3. Simplifying SaaS Extensions with Oracle APEX

Oracle introduced enhancements that will make it easier to extend Fusion SaaS applications using Oracle APEX. These upcoming improvements aim to significantly reduce the complexity involved, particularly regarding authentication and accessing Fusion APIs.

Oracle APEX, a powerful low-code platform, will allow developers to build SaaS app extensions more quickly and efficiently. By streamlining the process, developers can focus on creating custom solutions that integrate seamlessly with Fusion SaaS without being bogged down by technical barriers. This enhancement allows businesses to rapidly create low-code app extensions, boosting productivity and meeting unique organizational needs with minimal effort.

4. Oracle’s Success Stories in Supply Chain Management

Oracle’s SCM Excellence Playbook showcases impressive results of adopting Oracle SCM Cloud. By streamlining supply chain processes, companies have experienced significant improvements in efficiency, including a 33% acceleration in supply planning and a 35% reduction in manual transactions.

One standout success is an 80% decrease in response times for data center equipment, highlighting the transformative impact of Oracle’s cloud-based solutions. These advancements demonstrate how Oracle SCM Cloud drives operational excellence and delivers measurable business outcomes.

5. Journey from Oracle Hyperion to Fusion Cloud EPM

The shift from Oracle Hyperion to Fusion Cloud EPM offers businesses a flexible transition tailored to their unique processes and requirements. Oracle Fusion Cloud EPM delivers advanced capabilities in financial planning, reporting, and analysis while accommodating various stages of adoption based on each organization’s specific needs. This flexibility ensures a smooth migration, enabling companies to modernize their enterprise performance management with minimal disruption while gaining the benefits of a cloud-based, scalable solution.

6. The Power of Multi-cloud

Oracle is emphasizing the importance of multi-cloud strategies in the evolving cloud landscape. It highlights how businesses can leverage multiple cloud platforms to optimize performance, enhance flexibility, and reduce risk. This approach allows organizations to integrate diverse cloud services and solutions seamlessly.

Looking ahead, Oracle’s leadership in the cloud space is poised to drive the future of AI, with innovations that will further empower businesses to harness the full potential of multi-cloud environments. As AI technologies advance, Oracle’s role will be crucial in shaping how these solutions are implemented across various cloud platforms.