Find and compare the best Artificial Intelligence software for Oracle Analytics Cloud in 2026
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Use the comparison tool below to compare the top Artificial Intelligence software for Oracle Analytics Cloud on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.
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Rayven
$0 43 RatingsMost organisations already have the data. The problem is it sits in disconnected systems - ERPs, databases, SCADA, IoT devices, files, and APIs - and nobody has built the layer that ties it all together in real-time. AI makes this worse. Models need clean, integrated, multi-source data to work. Most data environments are not ready. 95% of AI projects never reach production. Rayven builds that layer. It connects IT, OT, IoT, cloud systems, files, data streams, APIs, and proprietary protocols into a single managed data platform - then executes automation, AI models + agentic AI directly on live data. Five unified layers: integration (600+ connectors, bidirectional, real-time), data (processing, storage, AI-ready structuring), execution (automation, AI models, and agentic AI), presentation (custom apps, dashboards, and conversational interfaces), and security, governance + hosting (role-based access, audit trails, and data residency - built in as standard). What gets built on top: custom software, AI agents, predictive analytics, field applications, workflow automations, dashboards, and portals - all from one platform with no external tooling required. Serves businesses from growth-stage to enterprise across 24+ industries globally. Delivery: DIY, Done-For-You (fixed scope, fixed price, two to 12 weeks) + Hybrid. More than 600 pre-built connectors. Ten native AI capabilities. More than 240 deployments live. Rated 5/5 across more than 140 independent reviews. -
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The Oracle Fusion Data Intelligence platform represents the evolution of the Oracle Fusion Analytics Warehouse, specifically designed for Oracle Fusion Cloud Applications; it seamlessly integrates business data with readily available analytics and prebuilt AI and machine learning models to enhance insights and expedite the transformation of decision-making into actionable outcomes. By moving past traditional dashboards and reports, users can utilize prebuilt applications that provide insights and AI/ML-driven recommendations for more effective actions. With access to over 2,000 best-practice key metrics, dashboards, and reports related to ERP, SCM, HCM, and CX, organizations can effectively assess their performance against set objectives. Additionally, the platform offers comprehensive 360-degree views of essential business entities by linking data from various Fusion Cloud Applications and other sources. Users can harness the power of prebuilt AI/ML models to forecast business outcomes and gain critical insights while also having the flexibility to create custom content tailored to their own data, analytics, and applications. This versatility makes the platform an invaluable tool for businesses looking to enhance their operational effectiveness and strategic planning.
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The Oracle AI Data Platform integrates the entire data-to-insight workflow, incorporating artificial intelligence, machine learning, and generative features within its various data stores, analytics, applications, and infrastructure. It encompasses the full spectrum, from data collection and governance to feature engineering, model development, and deployment, allowing organizations to create reliable AI-driven solutions on a large scale. With its cohesive architecture, this platform provides intrinsic support for vector search, retrieval-augmented generation, and large language models, while facilitating secure and traceable access to business data and analytics for all enterprise roles. Users can delve into, visualize, and make sense of data using AI-enhanced tools in the analytics layer, where self-service dashboards, natural-language inquiries, and generative summaries significantly expedite the decision-making process. Additionally, the platform's capabilities empower teams to derive actionable insights swiftly and efficiently, fostering a data-driven culture within organizations.
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