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Uniphore has rolled out X-Stream, a groundbreaking platform capability designed to accelerate enterprise digital transformation with Knowledge-as-a Service (KaaS). X-Stream empowers enterprises to build domain-specific AI applications using their own data—with all the tools, connectors, and access controls to transform raw data into usable, AI-ready knowledge—on one centralized platform.
Across the globe, enterprises are looking to harness the potential of generative AI (Gen AI) technologies. While many have made strides in implementing AI through demos and proofs of concept (POCs), most organizations struggle to scale these initiatives into production-ready applications.
The Challenges of Operationalizing AI
Transforming raw data into AI-ready knowledge is a resource-intensive process that requires specialized expertise from data scientists, data engineers, and AI/ML developers. Collecting data from various sources, preparing it for RAG-based systems, and training AI models—all while adhering to strict governance and compliance requirements—can take months to accomplish.
Gartner predicts that by the end of 2025, at least 30% of Gen AI projects will be abandoned after proof of concept due to poor data quality, inadequate risk controls, escalating costs or unclear business value.
Introducing X-Stream
X-Stream helps enterprises realize the value of AI initiatives by transforming raw enterprise data into knowledge that’s ready for Gen AI applications. Our unified approach optimizes every stage in the AI pipeline with best-of-breed components to simplify data integration, streamline preprocessing workflows, fine-tune models, and deploy Gen AI applications at scale. Part of Uniphore’s AI engine room, X-Stream empowers enterprises to shift from AI experimentation to AI industrialization.
Key Features of X-Stream:
- Advanced RAG Capabilities: X-Stream offers native support for Retrieval-Augmented Generation (RAG) 2.0 with end-to-end optimization, including embedding models, re-rankers, and pluggable LLM generators for enhanced AI performance.
- Multimodal Data ingestion and Enrichment: With real-time ingestion of structured, unstructured, and multimodal data, X-Stream intelligently merges unstructured data with semi-structured conversations for in-depth analytics and instruction fine-tuning.
- Enterprise-Scale Knowledge Graphs: Automatically extract topics and entities from documents with human-in-the-loop annotation and labeling for greater accuracy.
- Open Architecture & Extensibility: Maintain full control over your data and the models you build to innovate without limitations. Modular APIs facilitate the reuse of best-in-class components to save time and reduce duplication efforts.
- Governance & Guardrails: Role-based access controls (RBAC) and preprocessing guardrails ensure that enterprises can scale AI while adhering to security and privacy standards.
- Flexible AI Management: Fine-tune large language models (LLMs), build domain-specific AI models as a strategic moat, or leverage Uniphore’s library of fine-tuned small language models (SLMs) for faster time to market.
The launch of X-Stream represents a major leap forward for enterprises looking to accelerate their digital transformation journeys. By providing a unified platform with the tools, connectors, and governance to streamline AI development and deployment, X-Stream bridges the gap between AI experimentation and full-scale industrialization.
“As AI adoption accelerates across enterprises, harnessing its potential for scalable solutions has become a top priority for CIOs,” said Umesh Sachdev, CEO and Co-founder of Uniphore. “With X-Stream, Uniphore provides the world’s largest companies with a comprehensive toolkit to turn data into knowledge, unlocking the full power of AI within the evolving tech stack.”
Learn more about X-Stream
Are you ready to take your AI initiatives to the next level? Learn more about how X-Stream can help your enterprise scale AI while maintaining control, efficiency, and compliance