AI-Powered Analytics Help Oracle Fusion Applications Customers Achieve Better Business Outcomes

Rhea-AI Summary

Oracle announces new AI capabilities in Oracle Fusion Data Intelligence to enhance decision-making and action implementation for customers. These AI features provide advanced machine learning insights for finance, supply chain, HR, and customer service within Oracle Fusion Cloud Applications. The integration of AI-powered analytics aims to optimize operations and improve business outcomes.

Financial Analyst

The introduction of advanced AI capabilities into Oracle Fusion Data Intelligence presents a significant opportunity for Oracle's clientele. By enhancing decision-making processes and enabling rapid action based on insights, these new features could lead to improved operational efficiency and financial performance for users. As organizations seek to leverage data for a competitive edge, Oracle's integration of predictive analytics and machine learning directly into enterprise applications like ERP, SCM, HCM and CX is particularly noteworthy.

From a financial perspective, the ability to predict payment risks, optimize inventory and forecast sales with greater accuracy can translate into tangible benefits such as improved cash flow management, reduced capital tied up in inventory and higher sales conversion rates. These outcomes could potentially result in a positive impact on Oracle's revenue, as satisfied customers are likely to increase their investment in Oracle's cloud services and potentially attract new customers seeking similar benefits.

Moreover, the integration with Oracle Fusion Accounting Hub suggests a strategic move to provide a more comprehensive solution, thereby increasing the value proposition of Oracle's offerings. This can be seen as an attempt to drive up the adoption rates of Oracle's ERP Analytics, which could enhance the company's competitive position in the cloud analytics market.

Market Research Analyst

Oracle's announcement aligns with the broader market trend of integrating AI and machine learning into business intelligence platforms. The market for AI in business analytics is rapidly growing and Oracle's move to enhance its Fusion Data Intelligence with new AI capabilities is strategic in maintaining relevance and competitiveness. By offering prebuilt AI models tailored for specific business functions, Oracle is reducing the barrier to entry for organizations that may lack the expertise to develop these capabilities in-house.

The focus on predictive insights across various domains—finance, supply chain, HR and customer experience—indicates a deep understanding of the diverse needs of modern enterprises. As businesses increasingly demand real-time, actionable insights, Oracle's solution could gain traction, potentially influencing market dynamics by setting a new standard for integrated AI analytics solutions.

Furthermore, the emphasis on prebuilt analytical models and managed data pipelines highlights the importance of ease of use and scalability, which are critical factors for businesses when selecting a cloud analytics provider. Oracle's enhancements could shift customer expectations in the industry, prompting competitors to accelerate similar integrations to meet market demands.

Legal Expert

One of the notable AI capabilities introduced is the model that surfaces hidden biases in hiring, internal mobility and compensation practices. This feature not only has the potential to improve HR processes but also addresses a growing legal and ethical concern within the business community regarding workplace discrimination. By providing tools to identify and mitigate such biases, Oracle is proactively contributing to the creation of more equitable workplaces.

These enhancements could also have legal implications for Oracle's clients, as they may help in ensuring compliance with various regulations concerning fair hiring practices and equal pay. Companies using Oracle's AI-powered analytics could leverage this technology to demonstrate due diligence in their efforts to prevent discriminatory practices, which could be beneficial in the event of legal scrutiny.

It is important for Oracle and its customers to ensure that the AI models themselves are free from biases and that their use complies with data privacy regulations. As AI becomes more integrated into business processes, the legal landscape will likely evolve and Oracle will need to continuously update its offerings to align with new regulatory requirements.

New AI capabilities in Oracle Fusion Data Intelligence help improve decision-making and quickly turn insights into action

LONDON, March 14, 2024 /PRNewswire/ -- Oracle CloudWorld -- Oracle today announced new artificial intelligence (AI) capabilities in Oracle Fusion Data Intelligence that will help Oracle Fusion Cloud Applications customers improve decision making by combining data-driven insights with intelligent actions. Oracle Fusion Data Intelligence is a next-generation data, analytics, and AI solution powered by Oracle Cloud Infrastructure (OCI) services including Oracle Autonomous Database, OCI Data Lake, and Oracle Analytics Cloud. With the help of these new AI capabilities, organizations can make better decisions and improve business outcomes.

"Collecting, analyzing, and contextualizing data can be a time-consuming, error-prone process," said T.K. Anand, executive vice president, Analytics, Oracle. "With Oracle Fusion Data Intelligence, our customers can optimize this process by taking advantage of a comprehensive analytics offering that brings together data, ready-to-use analytics, and prebuilt AI models in the right business context. The new AI capabilities we are adding can help customers further improve decision making and rapidly turn insights into action."

The new AI capabilities in Oracle Fusion Data Intelligence are designed to expand existing services with analytics that go beyond day-to-day transactional reporting. Advanced machine learning capabilities provide insights and predict outcomes on specific questions for finance, supply chain, HR, and customer service. The Oracle-managed data pipelines and prebuilt analytical models help ensure that data is always current for robust predictive model training and accurate predictions. AI-powered analytics integrated directly into Oracle Fusion Applications include:

• ERP Analytics: Help finance teams improve decision-making with insights into operational and financial metrics across the organization. New AI capabilities will help Oracle Fusion Cloud Enterprise Resource Planning (ERP) customers analyze collection history to better predict risk and payment timing, gain deeper insights into business spend to identify appropriate classifications, and automatically detect and flag expense anomalies. One of these available models flags customers that are at risk of paying invoices late using historic data from aging receivables. Another new model identifies the risk of paying vendors late in order to maximize discounts and improve vendor relationships.
• SCM Analytics: Help supply chain leaders optimize their supply chain with insights from across their operations as well as external market data. New AI capabilities can help Oracle Fusion Cloud Supply Chain & Manufacturing (SCM) customers predict the actions needed to ensure on-time delivery, reduce supplier risks, optimize inventory management, and improve warehouse efficiency. By leveraging prebuilt analytics, organizations can connect insights from different areas of their supply chain and respond to changes faster.
• HCM Analytics: Help HR teams improve recruitment, talent retention, and growth while increasing the likelihood that resources are aligned with business needs. New AI capabilities can help Oracle Fusion Cloud Human Capital Management (HCM) customers predict staffing needs, identify next steps to close skills gaps, analyze workforce diversity, and provide actionable insights to improve time-to-hire. One of these available models surfaces hidden biases in hiring, internal mobility, and compensation practices across gender, age, and ethnicity. Another new model automatically identifies skill gaps to drive improvements in workforce planning.
• CX Analytics: Help sales teams efficiently engage customers with relevant offers that drive revenue and minimize customer churn. New AI capabilities can help Oracle Fusion Cloud Customer Experience (CX) customers to more accurately forecast sales, identify optimal pricing strategies, predict customer churn rates, and deliver data-driven recommendations for product pricing and sales strategies. One of these available models enables teams to leverage a single prebuilt, extensible analytical model for sales, marketing, contract, service, and subscription data for a 360-degree view of revenue and to further expand analysis with back-office ERP data.

In addition to the new AI capabilities, Oracle Fusion Data Intelligence now features an integration with and prebuilt analytics for Oracle Fusion Accounting Hub, part of Oracle Cloud ERP. Available as an add-on SKU to Oracle Fusion ERP Analytics, this integration enables customers to combine and analyze financial data from multiple accounting systems. Users can now discover correlations and irregularities across balances, journals, and sub-ledger transaction details, spanning accounting data from Oracle Cloud ERP and other systems.

Fusion Data Intelligence is an evolution of the Oracle Fusion Analytics Warehouse product that delivers business data-as-a-service with automated data pipelines, 360-degree data models for key business entities, rich interactive analytics, AI/ML models, and intelligent applications. To learn more about Oracle Fusion Data Intelligence, please visit: www.oracle.com/business-analytics/fusion-data-intelligence-platform

About Oracle
Oracle offers integrated suites of applications plus secure, autonomous infrastructure in the Oracle Cloud. For more information about Oracle (NYSE: ORCL), please visit us at www.oracle.com.

Trademarks
Oracle, Java, MySQL and NetSuite are registered trademarks of Oracle Corporation. NetSuite was the first cloud company—ushering in the new era of cloud computing.

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SOURCE Oracle

What are the new AI capabilities announced by Oracle in Oracle Fusion Data Intelligence?

Oracle announced new AI capabilities in Oracle Fusion Data Intelligence to enhance decision-making and action implementation for customers.

Which areas within Oracle Fusion Cloud Applications will benefit from the advanced machine learning capabilities provided by the new AI features?

Finance, supply chain, HR, and customer service will benefit from the advanced machine learning capabilities within Oracle Fusion Cloud Applications.

How can organizations leverage the new AI capabilities in Oracle Fusion Data Intelligence to improve business outcomes?

Organizations can leverage the new AI capabilities to make better decisions, predict outcomes, optimize supply chain operations, and enhance customer engagement.

What is the main goal of integrating AI-powered analytics into Oracle Fusion Cloud Applications?

The main goal is to optimize operations, improve business outcomes, and provide actionable insights for finance, supply chain, HR, and customer service.