Top generative AI use cases

• Improve customer experiences

  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.

  Call analytics

  Analyze calls from your contact center to extract valuable insights to improve customer experience and loyalty.

  Agent assist

  Use AI and generative AI to support and enhance the capabilities of human agents in tasks such as customer service, problem-solving and decision-making.

• Boost employee productivity

  Conversational search

  Improve employee productivity by quickly and easily finding accurate information and summarizing content through a conversational interface.

  Code generation

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

  Automated report generation

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

• Enhance creativity & content creation

  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.

• Accelerate process optimization

  Document processing

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

  Fraud detection

  Generative AI models can learn the patterns of fraudulent transactions and create synthetic fraud patterns to train more robust fraud detection systems.

  Supply chain optimization

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

Explore generative AI use cases for your industry

• Healthcare

  Digital scribe

  Transcribe patient-clinician conversations and generate easy-to-review clinical notes and insights, reducing the workload on healthcare professionals.

  Personalized medicine

  By generating treatment plans based on a patient's specific genetic makeup, lifestyle, and disease progression, AI can contribute to more effective, personalized care.

  Medical imaging

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

• Life Sciences

  Drug discovery

  Generate new potential molecular structures for drugs, accelerating the process of drug discovery and reducing costs.

  Protein folding prediction

  Predict the 3D structures of proteins based on their amino acid sequence, which is crucial for understanding diseases and developing new therapies.

  Synthetic biology

  AI can generate designs for synthetic biological systems, such as engineered organisms or biological circuits.

• Financial Services

  Anti-Money Laundering (AML)

  Generative AI can help in creating synthetic datasets to improve AML systems by simulating various money-laundering patterns.

  Portfolio management

  Generative AI can simulate various market scenarios and help in the creation and management of robust investment portfolios.

  Debt collection

  AI can generate the most effective communication and negotiation strategies for debt collection, increasing the rate of successful collections.

• Manufacturing

  Product design

  Generative AI can be used to create new product designs based on set parameters and constraints. It can generate multiple design options and optimize for factors like cost, materials, performance, etc.

  Process optimization

  AI can generate the most efficient production processes by modeling different scenarios and optimizing for variables such as cost, time, resource utilization, etc.

  Material science

  AI can help in generating new material compositions with desired properties.

• Retail

  Pricing optimization

  Generative AI can model different pricing scenarios todetermine optimal pricing strategies that maximize profits.

  Virtual try-ons

  AI can generate virtual models of customers for virtual try-ons, improving the online shopping experience.

  Store layout optimization

  AI can generate the most efficient store layouts to improve customer shopping experience and boost sales.

• Media & Entertainment

  Content generation

  Generative AI can be used to create scripts, dialogues, or even complete stories for films, TV shows, and games.

  Virtual reality

  Generative AI can create immersive and interactive virtual environments for games or simulations.

  News generation

  AI can generate news articles or summaries based on raw data or events.