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Top generative AI use cases

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.

Conversational analytics
Analyze unstructured customer feedback from surveys, website comments, and call transcripts to identify key topics, detect sentiment, and surface emerging trends.

Personalization
Deliver better personalized experiences and increase customer engagement with individually curated offerings and communications.

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.

Code generation
Accelerate application development with code suggestions based on the developer’s comments and code.

Automated report generation
Generative AI can be used to automatically generate financial reports, summaries, and projections, saving time and reducing errors.

Marketing
Create engaging marketing content, such as blog posts, social media updates, or email newsletters, saving time and resources.

Sales
Generate personalized emails, messages based on a prospect's profile and behavior, improving response rates. Generate sales scripts or talking points based on the customer's segment, industry and the product or service.

Product development
AI can generate multiple design prototypes based on certain inputs and constraints, speeding up the ideation phase, or optimize existing designs based on user feedback and specified constraints.

Document processing
Improve business operations by automatically extracting and summarizing data from documents and insights through generative AI-powered question and answering.

Data augmentation
Generate synthetic data to train ML models, when the original dataset is small, imbalanced or sensitive.

Supply chain optimization
Improve logistics and reduce costs by evaluating and optimizing different supply chain scenarios.

Explore generative AI use cases for your industry

  • Ambient digital scribe

    Automatically create transcripts, extract key details, and create summaries from clinician-patient interactions.

    Interpret medical images and documentation

    Enhance, reconstruct, or even generate medical images like X-rays, MRIs, or CT scans, which can aid in better diagnosis. 

    Personalized medicine

    Based on a patient's genetics, lifestyle and symptoms, generative AI can create personalized treatment plans.

    Intelligent Health Assist

    Enable payor agent assist, call report summarization, agent performance assessment for health care insurance providers. 

    Automate medical coding

    Automate medical coding of medical claims to reduce timeframe for billing, errors, administrative tasks and to meet regulatory and compliance requirements.

  • Clinical development

    Analyze large data sets to identify potential adverse drug reactions for both clinical and in-market drugs.

    Drug discovery

    Use generative AI tools for protein folding, protein sequence design, docking and molecule design to accelerate drug discovery and the design process while reducing costs.

    Enhance clinical trials

    Augment and accelerate clinical trials by rapidly synthesizing vast amounts of combinatorial trial data, simulating patient populations, and optimizing protocol design.

    Automated research reporting

    Generate documents or narratives based on drug discovery research dataset, such as proprietary scientific reports. For example, collate phase 1 clinical trials for a candidate therapeutic.

    Optimized trial enrollment

    Use generative AI to match patients to clinical trials based on inclusion and exclusion criteria. For example, determine if the patient is eligible based on co-morbidities.

  • AI-managed portfolios

    Deploy generative AI to create highly tailored investment strategies and portfolios aligned to specific financial goals.

    Increase the business value of unstructured content

    Create on-demand structured data products (e.g., competitor maps, supply chain relationships, product & service catalogs) from large unstructured data sources such as emails, document repositories, and filings.

    Drive product innovation and automate business processes

    Use generative AI to develop new tools for end-users, e.g. stock screening using natural language search. Examples include wealth management and brokerage clients and advisors, and institutional investment analysis.

    Intelligent advisory

    With chatbots and call center assist, firms can automatically translate complex questions from internal users and external customers into their semantic meaning, analyze for context, and then generate highly accurate and conversational responses.

    Transform financial documentation

    Quickly draft investment research, loan documentation, insurance policies, regulatory communications, RFI, business correspondence, and more. 

  • Product design optimization

    Generative AI can quickly generate and assess countless design options, helping manufactures find the most optimized, efficient, and cost-effective solutions.

    Operational efficiency

    Generative AI can simulate production to identify improvements, find hidden insights, validate models with synthetic data, and boost predictive accuracy - all without disrupting operations.

    Real-time equipment diagnostics

    By ingesting historical data, generative AI can diagnose equipment failures in real time and recommend maintenance actions like input adjustments, repairs, or likely spare parts.

    Supply chain traceability

    Gain end-to-end traceability of component parts through multi-tier supply chains and identify anomalies or gaps in the supply chain data.

    AI-powered maintenance assistants

    Generative conversational agents can be trained on product manuals, troubleshooting guides, and maintenance notes to deliver swift technical support to workers, reducing downtimes.

  • Planogram optimization

    Dynamically update planograms based on new products, changing inventory levels, sales trends and competitor data.

    Virtual try-ons

    Generative AI can synthesize realistic images of people wearing different clothing items, enabling immersive virtual try-on experiences.

    Optimize pricing

    Continuously run simulations to set optimal pricing for goods based on expiration dates, competition, location, and others.

    Product descriptions

    Generative AI can automatically generate unique, high-quality product descriptions and listings based on product data.

    Personalized recommendations

    Analyze customer data to create customized promotions and personalized product recommendations for customers.

  • Produce high-quality content at scale

    Generate characters, animations, and visual effects tailored to specific themes, genres, or formats.

    Optimize subscriber experiences

    Create effective, personalized content that adapts in real-time based on user engagement and preference.

    Enrich broadcast content

    Enhance live broadcast content through automated graphics, speech, and video generation tailored to each program.

    Automated highlight generation

    For sports, generative AI can detect highlights and automatically generate polished packages and promos.

    Automatic content tagging

    Use generative AI to auto-tag and index massive media libraries for easier search and recommendation.

Explore generative AI use cases for your industry

  • Ambient digital scribe

    Automatically create transcripts, extract key details, and create summaries from clinician-patient interactions.

    Interpret medical images and documentation

    Enhance, reconstruct, or even generate medical images like X-rays, MRIs, or CT scans, which can aid in better diagnosis.

    Personalized medicine

    Based on a patient's genetics, lifestyle and symptoms, generative AI can create personalized treatment plans.

    Intelligent Health Assist

    Enable payor agent assist, call report summarization, agent performance assessment for health care insurance providers. 

    Automate medical coding

    Automate medical coding of medical claims to reduce timeframe for billing, errors, administrative tasks and to meet regulatory and compliance requirements.

  • Clinical development

    Analyze large data sets to identify potential adverse drug reactions for both clinical and in-market drugs.

    Drug discovery

    Use generative AI tools for protein folding, protein sequence design, docking and molecule design to accelerate drug discovery and the design process while reducing costs.

    Enhance clinical trials

    Augment and accelerate clinical trials by rapidly synthesizing vast amounts of combinatorial trial data, simulating patient populations, and optimizing protocol design.

    Automated research reporting

    Generate documents or narratives based on drug discovery research dataset, such as proprietary scientific reports. For example, collate phase 1 clinical trials for a candidate therapeutic.

    Optimized trial enrollment

    Use generative AI to match patients to clinical trials based on inclusion and exclusion criteria. For example, determine if the patient is eligible based on co-morbidities.

  • AI-managed portfolios

    Deploy generative AI to create highly tailored investment strategies and portfolios aligned to specific financial goals.

    Increase the business value of unstructured content

    Create on-demand structured data products (e.g., competitor maps, supply chain relationships, product & service catalogs) from large unstructured data sources such as emails, document repositories, and filings.

    Drive product innovation and automate business processes

    Use generative AI to develop new tools for end-users, e.g. stock screening using natural language search. Examples include wealth management and brokerage clients and advisors, and institutional investment analysis.

    Intelligent advisory

    With chatbots and call center assist, firms can automatically translate complex questions from internal users and external customers into their semantic meaning, analyze for context, and then generate highly accurate and conversational responses.

    Transform financial documentation

    Quickly draft investment research, loan documentation, insurance policies, regulatory communications, RFI, business correspondence, and more. 

  • Product design optimization

    Generative AI can quickly generate and assess countless design options, helping manufactures find the most optimized, efficient, and cost-effective solutions.

    Operational efficiency

    Generative AI can simulate production to identify improvements, find hidden insights, validate models with synthetic data, and boost predictive accuracy - all without disrupting operations.

    Real-time equipment diagnostics

    By ingesting historical data, generative AI can diagnose equipment failures in real time and recommend maintenance actions like input adjustments, repairs, or likely spare parts.

    Supply chain traceability

    Gain end-to-end traceability of component parts through multi-tier supply chains and identify anomalies or gaps in the supply chain data.

    AI-powered maintenance assistants

    Generative conversational agents can be trained on product manuals, troubleshooting guides, and maintenance notes to deliver swift technical support to workers, reducing downtimes.

  • Planogram optimization

    Dynamically update planograms based on new products, changing inventory levels, sales trends and competitor data.

    Virtual try-ons

    Generative AI can synthesize realistic images of people wearing different clothing items, enabling immersive virtual try-on experiences.

    Optimize pricing

    Continuously run simulations to set optimal pricing for goods based on expiration dates, competition, location etc.

    Product descriptions

    Generative AI can automatically generate unique, high-quality product descriptions and listings based on product data.

    Personalized recommendations

    Analyze customer data to create customized promotions and personalized product recommendations for customers.

  • Produce high-quality content at scale

    Generate characters, animations, and visual effects tailored to specific themes, genres, or formats.

    Optimize subscriber experiences

    Create effective, personalized content that adapts in real-time based on user engagement and preference.

    Enrich broadcast content

    Enhance live broadcast content through automated graphics, speech, and video generation tailored to each program.

    Automated highlight generation

    For sports, generative AI can detect highlights and automatically generate polished packages and promos.

    Automatic content tagging

    Use generative AI to auto-tag and index massive media libraries for easier search and recommendation.