Oracle Real-Time Decisions Description
Oracle Real-Time Decisions (RTD) integrates both rule-based systems and predictive analytics to create dynamic solutions for managing enterprise decisions in real-time. It facilitates the incorporation of immediate intelligence into various business processes or customer interactions as they occur. A robust transactional server ensures that decisions and recommendations are made in real-time. This server autonomously produces decisions within the business workflow, uncovering insights and transforming data in motion into actionable intelligence. Closed-loop decision-making allows organizations to apply comprehensive business logic effectively. Additionally, analytical decisions empower businesses to utilize established analytical resources for rules-based or predictive choices. Furthermore, self-adjusting processes enable organizations to create systems that evolve automatically in response to feedback over time, ensuring ongoing optimization and adaptability. Ultimately, this integration of technology fosters a more responsive and intelligent business environment.
Oracle Real-Time Decisions Alternatives
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SOX & GAAP compliance
Financial controls, forecasting & Reports, Treasury & tax
Process Automation (AI, Machine Learning, Robotic Process Automation)
Supply Chain & Inventory
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Manufacturing
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Fraud.net
Don't let fraud erode your bottom line, damage your reputation, or stall your growth. FraudNet's AI-driven platform empowers enterprises to stay ahead of threats, streamline compliance, and manage risk at scale—all in real-time. While fraudsters evolve tactics, our platform detects tomorrow's threats, delivering risk assessments through insights from billions of analyzed transactions.
Imagine transforming your fraud prevention with a single, robust platform: comprehensive screening for smoother onboarding and reduced risk exposure, continuous monitoring to proactively identify and block new threats, and precision fraud detection across channels and payment types with real-time, AI-powered risk scoring. Our proprietary machine learning models continuously learn and improve, identifying patterns invisible to traditional systems. Paired with our Data Hub of dozens of third-party data integrations, you'll gain unprecedented fraud and risk protection while slashing false positives and eliminating operational inefficiencies.
The impact is undeniable. Leading payment companies, financial institutions, innovative fintechs, and commerce brands trust our AI-powered solutions worldwide, and they're seeing dramatic results: 80% reduction in fraud losses and 97% fewer false positives. With our flexible no-code/low-code architecture, you can scale effortlessly as you grow.
Why settle for outdated fraud and risk management systems when you could be building resilience for future opportunities? See the Fraud.Net difference for yourself. Request your personalized demo today and discover how we can help you strengthen your business against threats while empowering growth.
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Decisimo
Decisimo is a powerful platform that allows you to make business decisions more efficiently. It allows you to easily create and update decision tables and rule sets, and tailor them to your needs. The platform has a drag-and drop builder that allows you to design decision flows. These can include components such as models, rule sets and data sources. Decisimo allows you to deploy decision flow to regional endpoints to speed up responses and comply with data protection regulations.
You can improve your decision flow by incorporating AI or machine learning models, as well as connecting to external data sources via REST APIs. Decisimo can be used for batch processing tasks like client segmentation and prescoring. It also supports data retrieval from FTP or Google Cloud Storage. The platform offers robust unit testing capabilities that ensure reliable and accurate decision-making.
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SAS Intelligent Decisioning
SAS Intelligent Decisioning empowers organizations to optimize their interactions with customers, partners, suppliers, and employees by facilitating well-informed decision-making. It allows for the delivery of relevant, real-time decisions based on business rules and advanced analytics, accommodating a vast array of use cases. Before implementation, users can easily test these decisions to confirm they will yield the desired outcomes. The platform includes strong governance features that ensure decisions are comprehensible and trustworthy throughout the organization. It can efficiently manage high volumes of data and decisions thanks to a cloud-based architecture that adapts to varying demands. Additionally, it supports decision-making at the edge and in-stream integration with IoT devices, enhancing its versatility. Users can effortlessly create and adjust decision-making processes, whether by utilizing a user-friendly drag-and-drop interface or by writing custom code. Decisions can be defined by exploring centralized repositories for data, models, and business rules, allowing users to leverage existing resources effectively. This comprehensive approach ensures that organizations can remain agile and responsive in a fast-paced business environment.
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Company Details
Company:
Oracle
Headquarters:
United States
Website:
www.oracle.com/middleware/technologies/real-time-decisions.html
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