AWS GenAI Use Cases
Gen AI Use Cases
Generative AI has the potential to bring about sweeping changes to the global economy.
Goldman Sachs estimates that about two-thirds of US occupations will be enhanced by AI.
AI will likely drive the creation of new jobs and the emergence of new occupations for the vast majority of long-run employment growth.
The future forecasts to be a period of intense experimentation.
It is expected that new architectures will arise in the future, and this diversity will set off a wave of innovation.
Generative AI will play a transformational role in every industry.
Use cases for businesses
1. Healthcare
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Generative AI contributes to healthcare in the following ways:
- AWS HealthScribe: Empowers healthcare software vendors to build clinical applications that automatically generate clinical notes by analyzing patient-clinician conversations.
- 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.
2. Life sciences
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Generative AI contributes to life sciences in the following ways:
- Drug discovery: AI can generate new potential molecular structures for drugs, accelerating the process of drug discovery and reducing costs.
- Protein folding prediction: AI can 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.
3. Financial services
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Generative AI contributes to financial services in the following ways:
- Fraud detection mechanisms: Generative AI can help create synthetic datasets to improve AI/ML 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.
Across the banking industry, for example, AI technology can deliver value equal to an additional $200-$340 billion annually if the use cases above are fully implemented (McKinsey Report 2023).
4. Manufacturing
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Generative AI contributes to manufacturing in the following ways:
- 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, and so forth.
- Process optimization: AI can generate the most efficient production processes by modeling different scenarios and optimizing for variables such as cost, time, resource usage, and so forth.
- Preventative maintenance: By analyzing historical production data, AI can predict maintenance schedules that will provide the most efficient machine outputs and reduce downtimes.
- Material science: AI can help generate new material compositions with desired properties.
5. Retail
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Generative AI contributes to retail in the following ways:
- Pricing optimization: Generative AI can model different pricing scenarios to determine 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 the customer shopping experience and boost sales.
- Product review summaries: AI can generate review summaries for products so consumers can quickly find pertinent information.
In retail and consumer packaged goods, the potential generative AI impact is significant at $400 billion to $660 billion a year. (McKinsey Report 2023).
6. Media and entertainment
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Generative AI contributes to media and entertainment in the following ways:
- 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.
Amazon uses generative AI with Alexa
One of the ways Amazon is using generative AI is with the Create With Alexa feature.
Create With Alexa uses advances in conversational and generative AI to empower young storytellers to build unique stories with a narrative arc, colorful graphics, and fun, complementary background music.
The animated stories then come to life on the screen of Amazon Echo Show devices.
To build these stories, Alexa researchers created several different content generators using generative AI.
To learn more about the Create With Alexa feature, click the arrow buttons to display each of the following three steps.
Alexa interactive story-creation experience
The Alexa story creation experience uses AI to arrange visual elements on either artist-rendered or AI-generated backgrounds to illustrate stories that a separate AI module produces. (The images shown in this article are for illustration purposes.)
