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Chatbots and virtual assistants
Streamline customer self-service processes and reduce operational costs by automating responses for customer service queries through generative AI-powered chatbots, voice bots, and virtual assistants. Learn more about chatbot and virtual assistant use cases.
Conversational analytics
Analyze unstructured customer feedback from surveys, website comments, and call transcripts to identify key topics, detect sentiment, and surface emerging trends. Learn more about conversational analytics use cases.
Agent assist
Enhance agent performance and improve first contact resolution through task automation, summarization, enhanced knowledge base searches, and tailored cross-sell/upsell product recommendations. Learn more about agent assist use cases.
Personalization
Deliver better personalized experiences and increase customer engagement with individually curated offerings and communications. Learn more about personalization use cases.
Employee assistant
Improve employee productivity by quickly and easily finding accurate information, get accurate answers, summarize and create and summarizing content through a conversational interface. Learn more about the employee assistant service.
Code generation
Accelerate application development with code suggestions based on the developer’s comments and code. Learn more about the code generation.
Automated report generation
Generative AI can be used to automatically generate financial reports, summaries, and projections, saving time and reducing errors. Learn more about the automated report generation service.
Content creation
Boost ideation, productivity, and quality across marketing, sales, product management, and more. Work smarter and faster with AI-driven efficiency. Learn more about content creation use cases.
Document processing
Improve business operations by automatically extracting and summarizing data from documents and insights through generative AI-powered question and answering. Learn more about document processing use cases.
Data augmentation
Generate synthetic data to train ML models, when the original dataset is small, imbalanced or sensitive. Learn more about data augmentation.
Supply chain optimization
Improve logistics and reduce costs by evaluating and optimizing different supply chain scenarios. Learn more about supply chain optimization.