What is Gen AI?
Generative artificial intelligence, also known as generative AI or gen AI for short, is a type of AI that can create new content and ideas, including conversations, stories, images, videos, and music. It can learn human language, programming languages, art, chemistry, biology, or any complex subject matter. It reuses what it knows to solve new problems.
For example, it can learn English vocabulary and create a poem from the words it processes.
Your organization can use generative AI for various purposes, like chatbots, media creation, product development, and design.
Generative AI examples
Generative AI has several use cases across industries
Financial services
Financial services companies use generative AI tools to serve their customers better while reducing costs:
- Financial institutions use chatbots to generate product recommendations and respond to customer inquiries, which improves overall customer service.
- Lending institutions speed up loan approvals for financially underserved markets, especially in developing nations.
- Banks quickly detect fraud in claims, credit cards, and loans.
- Investment firms use the power of generative AI to provide safe, personalized financial advice to their clients at a low cost.
Healthcare and life sciences
One of the most promising generative AI use cases is accelerating drug discovery and research. Generative AI can create novel protein sequences with specific properties for designing antibodies, enzymes, vaccines, and gene therapy.
Healthcare and life sciences companies use generative AI tools to design synthetic gene sequences for synthetic biology and metabolic engineering applications. For example, they can create new biosynthetic pathways or optimize gene expression for biomanufacturing purposes.
Generative AI tools also create synthetic patient and healthcare data. This data can be useful for training AI models, simulating clinical trials, or studying rare diseases without access to large real-world datasets.
Read more about Generative AI in Healthcare & Life Sciences on AWS
Automotive and manufacturing
Automotive companies use generative AI technology for many purposes, from engineering to in-vehicle experiences and customer service. For instance, they optimize the design of mechanical parts to reduce drag in vehicle designs or adapt the design of personal assistants.
Auto companies use generative AI tools to deliver better customer service by providing quick responses to the most common customer questions. Generative AI creates new materials, chips, and part designs to optimize manufacturing processes and reduce costs.
Another generative AI use case is synthesizing data to test applications. This is especially helpful for data not often included in testing datasets (such as defects or edge cases).
Telecommunication
Generative AI use cases in telecommunication focus on reinventing the customer experience defined by the cumulative interactions of subscribers across all touchpoints of the customer journey.
For instance, telecommunication organizations apply generative AI to improve customer service with live human-like conversational agents. They reinvent customer relationships with personalized one-to-one sales assistants. They also optimize network performance by analyzing network data to recommend fixes.
Media and entertainment
From animations and scripts to full-length movies, generative AI models produce novel content at a fraction of the cost and time of traditional production.
Other generative AI use cases in the industry include:
- Artists can complement and enhance their albums with AI-generated music to create whole new experiences.
- Media organizations use generative AI to improve their audience experiences by offering personalized content and ads to grow revenues.
- Gaming companies use generative AI to create new games and allow players to build avatars.
