Generative AI Use Cases Show Promise in Industry Segments

Three real-world generative AI use cases hint at enormous potential across sectors.

Generative AI use cases drive transformation across sectors

By enhancing efficiency, fostering innovation and improving service quality, generative AI is catalyzing transformative changes across industries. From automotive design to healthcare, organizations are implementing advanced AI strategies and techniques to tackle complex challenges and optimize operations.

These real-world examples showcase how leading companies are successfully using generative AI. The case studies highlight the diverse applications and benefits of AI, providing valuable insights for business leaders and organizations looking to adopt similar tactics.

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    Real-world generative AI applications across industries

    Use implementation examples like these to ensure your organization is AI ready and focused on valuable and feasible AI use cases.

    Accelerating vehicle production in the automotive industry

    By using AI tools to produce variations of initial vehicle sketches, Toyota Research Institute has:

    • Reduced time-to-design phase

    • Minimized unexpected late design changes

    • Enabled faster creation of sketches

    Their approach, in partnership with Stability AI, streamlined the design process and enhanced creative flexibility, leading to more innovative vehicle designs.

    Enhancing customer service in the banking industry

    Ally's contact center assistant, built on Microsoft Azure and Azure OpenAI Service, exemplifies how banks can leverage AI to improve customer service and operational efficiency. The AI assistant:

    • Automates note-taking and summarizing following customer calls

    • Reduces manual effort for call center associates

    • Frees up time for associates to focus on customer interactions

    This results in faster and more accurate call documentation, which improves the overall customer experience.

    Personalizing patient care among healthcare providers

    Mayo Clinic's collaboration with K Health demonstrates the potential of AI in healthcare. Its AI-enabled medical chatbot:

    • Conducts dynamic interviews with patients

    • Efficiently gathers symptom-related information and medical history

    • Quickly provides personalized care recommendations

    This streamlines the patient intake process and reduces clinician burnout.

    Generative AI use cases FAQs

    What are use cases of generative AI for industries?

    Generative AI use cases span industries, including automotive, banking, healthcare and industrial manufacturing. Applications include vehicle design, customer service enhancement and patient care.

    What problems can generative AI solve?

    Generative AI can increase efficiency, reduce manual tasks and enhance customer experiences.

    How are government agencies using generative AI?

    AI use in government is growing as heightened citizen demand for government services meets resource constraints. For example, the U.S. Department of Veterans Affairs uses AI to streamline the processing of veterans' benefits claims, significantly reducing wait times. Similarly, the Singapore government employs AI-driven chatbots to provide citizens with real-time information on and assistance with various public services.

    Drive stronger performance on your mission-critical priorities.