uniphore.com

The XML sitemap of this website can by found by following [this link](https://www.uniphore.com/sitemap_index.xml).

# Uniphore: World leader in conversational AI

> We enable businesses to rapidly adopt, significantly transform and immediately unlock value through our Business AI Cloud that is sovereign, composable and secure\.

## Priority 1: Products
- [Real\-time Guidance Agent](https://www.uniphore.com/products/customer-service-ai/real-time-guidance-agent/): Elevate agent performance with AI\-powered support that adapts to every conversation\. With dynamic prompts, accurate answers, and automated summaries, agents get the guidance they need to deliver exceptional experiences and drive results\.
- [Communication Recording Agent](https://www.uniphore.com/products/customer-service-ai/communication-recording-agent/): Capture high\-quality, AI\-ready recording data from every interaction to understand the true voice of your customers\.
- [Conversation Insights Agent](https://www.uniphore.com/products/customer-service-ai/conversation-insights-agent/): Gain deep, actionable insights from customer interactions with Conversation Insights Agent, a Gen AI\-powered conversational intelligence solution\. Improve decision\-making today\.
- [Self\-Service Agent](https://www.uniphore.com/products/customer-service-ai/self-service-agent/): Humanize the self\-service experience with intelligent virtual agents that understand, empathize and resolve issues at scale\. 
- [CDP Agent](https://www.uniphore.com/products/marketing-ai/cdp-agent/): With a composable architecture, you can activate customer data anywhere in the customer experience, seamlessly integrating with your AI stack to drive tailored interactions, deepen engagement, and boost revenue\.
- [Recruiting Agent](https://www.uniphore.com/products/people-ai/recruiting-agent/): AI recruiting software streamlines hiring with advanced AI, analyzing candidate data to improve decision\-making and enhance recruitment efficiency\.
- [Sales Interaction Agent](https://www.uniphore.com/products/sales-ai/sales-interaction-agent/): Sales Interaction Agent guides revenue teams with AI\-powered insights, offering clarity on how to effectively keep prospects engaged and deals moving forward\.

## Priority 2: Platform
- [Uniphore Business AI Cloud](https://www.uniphore.com/platform/business-ai-cloud/): Describes the Business AI Cloud as Uniphore’s sovereign, composable, and secure AI platform that unifies data, knowledge, models, and agents to empower business-and IT teams to deploy scalable, enterprise-grade AI solutions.
- [What is the Agentic Layer?](https://www.uniphore.com/platform/business-ai-cloud/agentic-layer/): Describes Uniphore’s Agentic Layer as a no-code workflow and orchestration layer for building, launching, and managing AI agents that automate business processes with visual design, agent collaboration, and flexible data/model integration.
- [What is the Model Layer?](https://www.uniphore.com/platform/business-ai-cloud/model-layer/): Explains how the Model Layer enables enterprises to adapt, manage, and fine-tune AI models without vendor lock-in, supporting custom use cases and enterprise scalability.
- [What is the Knowledge Layer?](https://www.uniphore.com/platform/business-ai-cloud/knowledge-layer/): Defines the Knowledge Layer as Uniphore’s system for structuring, contextualizing, and delivering trusted information to avoid hallucinations and improve accuracy in AI-powered applications.
- [What is the Data Layer?](https://www.uniphore.com/platform/business-ai-cloud/data-layer/): Describes the Data Layer as the foundation for secure, unified access to enterprise data, enabling AI adoption without costly migrations while ensuring compliance, speed, and scalability.

## Priority 3: Business AI Information
- [What is Zero Data AI?](https://www.uniphore.com/zero-data-ai/): Introduces Zero Data AI as a privacy-centric approach by Uniphore that enables organizations to leverage AI capabilities without moving or transforming underlying data, maintaining security and sovereignty.
- [What is Knowledge AI?](https://www.uniphore.com/knowledge-ai/): Explains how Uniphore’s Knowledge AI unifies enterprise knowledge and uses NLP/cognitive search to deliver fast, context-aware answers for agents and self-service.
- [What is Contact Center Automation?](https://www.uniphore.com/contact-center-automation/): Explains how automating contact-center processes and conversations with no/low-code design, multilingual NLU, analytics, and open integrations reduces costs and improves CX.

## Priority 4: Glossary Terms
- [What is AI-Ready Data?](https://www.uniphore.com/glossary/ai-ready-data/): Defines AI-ready data as structured, cleansed, and properly formatted information optimized for training and deploying artificial intelligence models effectively.
- [What Is Agent Guidance?](https://www.uniphore.com/glossary/agent-guidance/): Defines agent guidance as real-time AI support that analyzes live conversations to surface prompts, knowledge, and recommended actions that improve consistency and outcomes.
- [What is Acquisition Marketing?](https://www.uniphore.com/glossary/acquisition-marketing/): Defines acquisition marketing as strategies and tactics focused on attracting and converting new customers through targeted campaigns and engagement.
- [What is Data Capture?](https://www.uniphore.com/glossary/data-capture/): Defines data capture as the process of collecting and digitizing information from various sources for analysis and operational use.
- [What is Automated Quality Management (AQM)?](https://www.uniphore.com/glossary/automated-quality-management-aqm/): Defines AQM as using AI/ML to streamline and standardize quality monitoring and evaluations across interactions, boosting accuracy, consistency, and efficiency.
- [What is Compliance Recording?](https://www.uniphore.com/glossary/compliance-recording/): Explains compliance recording as capturing and securely storing customer interactions to meet regulatory requirements and ensure data integrity.
- [What is Voice of the Customer (VoC)?](https://www.uniphore.com/glossary/voice-of-the-customer/): Defines Voice of the Customer as the collection and analysis of customer feedback, expectations, and experiences to inform improvements in products, services, and interactions.
- [What is Trend Analysis?](https://www.uniphore.com/glossary/trend-analysis/): Explains trend analysis as the process of examining historical data to identify patterns and forecast future outcomes, helping businesses make strategic decisions.
- [What is Agent Performance Analytics?](https://www.uniphore.com/glossary/agent-performance-analytics/): Defines agent performance analytics as the use of data and AI to measure, evaluate, and improve agent effectiveness across customer interactions.
- [What is RFM Analysis?](https://www.uniphore.com/glossary/rfm-analysis/): Defines RFM analysis as a marketing method that segments customers based on recency, frequency, and monetary value of their purchases.
- [What is AI Training Data?](https://www.uniphore.com/glossary/ai-training-data/): Defines AI training data as labeled datasets used to teach machine learning and AI models how to recognize patterns and make predictions.
- [What is Automatic Speech Recognition (ASR)?](https://www.uniphore.com/glossary/automatic-speech-recognition/): Explains ASR as the technology that converts spoken language into text, enabling voice-driven applications and conversational AI.
- [What is Semantic Analysis?](https://www.uniphore.com/glossary/semantic-analysis/): Defines semantic analysis as the process of interpreting meaning and context in language, enabling AI systems to understand intent and sentiment in communication.
- [What is Behavioral Segmentation?](https://www.uniphore.com/glossary/behavioral-segmentation/): Explains behavioral segmentation as dividing customers into groups based on observed behaviors like purchase history, usage patterns, or engagement levels.
- [What are Data Connectors?](https://www.uniphore.com/glossary/data-connectors/): Defines data connectors as tools that link disparate systems and applications, enabling seamless data transfer and integration for analytics and AI.
- [What is a Martech Stack?](https://www.uniphore.com/glossary/martech-stack/): Explains a martech stack as the collection of marketing technologies and platforms businesses use to plan, execute, and analyze marketing activities.
- [What is Multimodal Conversational AI?](https://www.uniphore.com/glossary/multimodal-conversational-ai/): Defines multimodal conversational AI as systems that process and respond using multiple input types—like voice, text, and video—to enhance human-computer interactions.
- [What is Multimodal Data?](https://www.uniphore.com/glossary/multimodal-data/): Explains multimodal data as information collected from different types of input sources (e.g., audio, video, text) that together provide richer insights for AI.
- [What is Data Normalization?](https://www.uniphore.com/glossary/data-normalization/): Defines data normalization as the process of organizing, scaling, and structuring data consistently to improve accuracy, quality, and analysis.
- [What is Data Preprocessing?](https://www.uniphore.com/glossary/data-preprocessing/): Explains data preprocessing as preparing raw data by cleaning, transforming, and formatting it into a usable state for machine learning and analytics.
- [What is a Large Language Model (LLM)?](https://www.uniphore.com/glossary/large-language-model/): Defines a large language model as an AI system trained on vast text datasets to understand and generate human-like language for diverse applications.
- [2024 Forrester Wave CDP Report: What Enterprise Buyers Need to Know](https://www.uniphore.com/blog/forrester-wave-cdp-customer-data-platforms/): Summarizes insights from the Forrester Wave report on CDPs, helping enterprises evaluate vendors and select platforms that best fit their data and personalization needs.
- [GenAI vs. Rule-Based Speech Analytics: What’s Right for Your Contact Center?](https://www.uniphore.com/blog/genai-vs-rule-based-speech-analytics-whats-right-for-your-contact-center/): Compares GenAI-driven speech analytics with rule-based approaches, explaining strengths, limitations, and when enterprises should adopt each for customer service.

## Priority 5: Blogs
- [Unlocking More Power and Flexibility in the Knowledge Layer](https://www.uniphore.com/blog/unlocking-more-power-and-flexibility-in-the-knowledge-layer/): We are excited to introduce the latest enhancements to our Knowledge Layer powering Uniphore’s Zero Data AI Cloud.
- [Why the Composable CDP is a Must-Have for Enterprise Brands](https://www.uniphore.com/blog/composable-cdp/): Discusses how enterprise organizations are shifting away from traditional, all\-in\-one CDPs toward composable CDP architectures that integrate with cloud data warehouses, enabling flexibility, cost control, and faster data-driven decision-making.
- [Generative AI Summarization: Uniphore’s Leading Approach to Summary Evaluation](https://www.uniphore.com/blog/generative-ai-summarization-uniphores-leading-approach-to-summary-evaluation/): Outlines Uniphore’s method for evaluating AI-generated summaries of conversational data for faithfulness and completeness to ensure reliable enterprise use.
- [Prioritizing the Agent Experience and How Real-Time Agent Guidance Can Help](https://www.uniphore.com/blog/prioritizing-the-agent-experience-and-how-real-time-agent-guidance-can-help/): Discusses why agent experience is critical for customer service success and how real-time AI guidance supports performance, engagement, and satisfaction.
- [Customer Data Platform vs. Data Warehouse](https://www.uniphore.com/blog/customer-data-platform-vs-data-warehouse/): Compares the roles of CDPs and data warehouses, explaining how CDPs unify customer data for personalization while warehouses handle broader analytics and storage.
- [The 4 Domains of Emotional Intelligence](https://www.uniphore.com/blog/the-4-domains-of-emotional-intelligence/): Explores self-awareness, self-management, social awareness, and relationship management as the four pillars of emotional intelligence in professional settings.
- [Databricks Partners with Uniphore Marketing](https://www.uniphore.com/blog/databricks-partners-marketing/): Announces the partnership between Uniphore and Databricks to accelerate data-driven marketing and enhance AI-powered customer engagement.
- [Call Center Metrics and KPIs: Their Role and Value](https://www.uniphore.com/blog/call-center-metrics-and-kpis-their-role-and-value/): Details key metrics and KPIs for call centers, highlighting how they measure performance, guide improvements, and enhance customer satisfaction.