Top generative AI use cases
Explore generative AI use cases for your industry
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Healthcare
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.
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Life Sciences
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.
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Financial Services
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.
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Manufacturing
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.
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Retail
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.
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Media & Entertainment
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
-
Healthcare
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.
-
Life Sciences
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.
-
Financial Services
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.
-
Manufacturing
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.
-
Retail
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.
-
Media & Entertainment
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.