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Revolutionize Business Transformation with Google - Infosys Gen AI Living Labs

Overview

Infosys and Google Cloud are collaborating to help enterprises build AI-powered experiences leveraging Infosys Topaz offerings and Google Cloud’s generative AI capabilities. As part of Google – Infosys Gen AI Living Labs, enterprises can effectively infuse AI, backed by cloud technology, into their business processes.

Generative AI has opened multiple AI application areas, such as semantic search, document summarization, contact center transformation, and AI-augmented software development life cycle (SDLC), in key enterprise functions across industries.

Infosys Gen AI Living Labs, enterprises can effectively infuse AI, backed by cloud technology, into their business processes.

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Infosys Gen AI Living Labs

Through the collaboration, Infosys will get early access to some of the cutting-edge technologies from Google in the Gen AI space, like Vertex AI, Gen AI App builder, CCAI, Document AI, and Healthcare AI, to name a few.

Visit this event webpage to learn how iCETS is exploring the adoption of emerging technology solutions.

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Challenges & Solutions

Exploring GCP model capabilities on legacy code translation, documentation, and extraction of business rules.

Generate intelligent recommendations based on business dimensions, value levers, and recommendations for event streams and logs and perform causal analysis.

Explore GCP semantic search capability and understand how it can be integrated with enterprise data sources.

An Intelligent System providing a near real-time first response that can effectively reduce cost, effort, and time related to managing customer tweets.

Explore GCP capabilities for the activity of finetuning an open-source model on product-specific code for contextual code generation and completion.

Leverage seamless turn-by-turn intent identification, call summary generation, entity extraction, customer sentiment detection (Fraud prevention using sentiment analysis), and resolution recommendation to the agents.

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