How Generative AI is Transforming Enterprise Operations with Oracle Cloud
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Posted by Quest Customer Learning Team
- Last updated 12/04/24
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David Chaimson, an Oracle veteran with over 30 years of expertise, recently presented an in-depth overview of Oracle’s integration of artificial intelligence (AI) into its cloud applications. His discussion delved into both “classic AI” and the emerging potential of “generative AI.” Generative AI is revolutionizing the way businesses operate, and Oracle Cloud is at the forefront of this transformation.
The Evolution of AI in Oracle Applications
Oracle has long utilized classic AI to address the challenges posed by the explosion of data in modern enterprises. Classic AI underpins automation, predictive analytics, and process optimization within Oracle’s solutions. In recent years, generative AI has emerged as a transformative force, garnering significant interest among executives for its ability to revolutionize operations across industries.
What’s Next: AI Agents for Multi-Step Tasks
Oracle is taking generative AI a step further with AI agents designed for multi-step processes. Unlike single-step tools, these agents can handle complex workflows by interpreting requests, coordinating multiple tasks, and providing holistic solutions. This innovation has the potential to transform both front- and back-office operations, enabling users to perform more with less effort. Retrieval Augmented Generation (RAG) technology enhances both personalization and security, allowing AI to securely retrieve specific data, enabling detailed responses.
AI-Driven Solutions Across Business Functions
Oracle’s AI-powered tools enable organizations to uncover actionable insights, streamline workflows, and achieve substantial automation across critical business areas, such as supply chain operations, human resources, finance, and customer experience.
Streamlining the Supply Chain
Oracle’s sourcing application integrates generative AI to help organizations discover new suppliers for high-value purchases. By analyzing the details of a sourcing event, the AI recommends top suppliers, cutting hours of manual research. This feature levels the playing field by ensuring all suppliers have equal access to information while enabling procurement teams to make informed decisions faster than ever before.
Additionally, Oracle’s Fusion Analytics Warehouse (FAW), now rebranded as Fusion Data Intelligence (FDI), combines pre-configured KPIs and dashboards with “closed-loop analytics.” This approach links insights to operational systems, allowing users to optimize logistics, streamline inventory processes, and address critical issues—like overdue shipments—in real time.
Enhancing Human Resources
Managing employee performance reviews has always been a time-intensive process, but AI simplifies and accelerates it. Managers can use AI Assist to gather, summarize, and refine feedback from multiple sources, then quickly create tailored appraisals, saving hours of effort. This automation doesn’t replace human input—it enhances it, allowing managers to add heartfelt feedback and ensure the review aligns with their intentions.
Employees benefit from the AI options through better understanding of their benefits and opportunities. An employee querying their dental benefits can receive a detailed, personalized response about their coverage, ensuring more accurate and context-rich answers, while reducing the burden on internal help desks. As employees look to further their career development, AI can provide insights tailored to their goals and empowering them with immediate information.
Recruiters gain support from Oracle Fusion Cloud Procurement with AI candidate evaluations, time-to-fill estimates, and skills-matching recommendations.
Transforming Financial Reporting
Oracle’s AI-driven narrative reporting tool within Enterprise Performance Management (EPM) takes financial analysis to the next level. By examining variances in data, generative AI generates insightful explanations and potential reasons behind discrepancies. This not only simplifies the reporting process but also helps finance professionals uncover actionable insights that improve decision-making.
Businesses can streamline tedious tasks, such as invoice processing, by automating up to 80% of the work with Oracle’s advanced Intelligent Document Recognition (IDR) technology. By leveraging IDR to scan, extract, and learn from user corrections, organizations can efficiently identify discrepancies and anomalies in financial transactions and operational data through real-time alerts.
Revolutionizing the Customer Experience
In Oracle Service Cloud, AI is transforming customer support processes. Consider a customer service agent managing a complex ticket, such as a TV displaying distorted visuals. With AI, the agent can query the knowledge base and quickly identify relevant solutions, like an FAQ document addressing the issue. The agent can then have AI draft a personalized response for the customer, ensuring efficient and effective resolution. This streamlined workflow empowers agents to handle more requests in less time while delivering better service.
The Future of Work with Oracle AI
Generative AI is no longer a futuristic concept; it’s here, and Oracle is leading its practical application in enterprise environments. From HR to customer service, procurement, and finance, AI is helping organizations optimize their operations and deliver better results. As Oracle continues to evolve its AI offerings, businesses can look forward to even greater efficiencies and smarter decision-making in the years ahead.
To learn more about how Oracle Cloud can help your business operations, watch the Oracle Fusion Cloud Days presentation from David Chaimson, Leveraging AI and GenAI in Cloud Applications.