The latest interactive report from GartnerⓇ looks at the core technologies underpinning the GenAI revolution, including AI engineering tools which are helping to automate repetitive parts of the software development lifecycle such as boiler plate code creation and unit testing.
Recent innovations have made generative AI a top priority for the C-suite and has sparked tremendous proliferation in new tools beyond foundation models. This inaugural GenAI Hype Cycle guides technology innovation leaders through these fast-moving technologies and markets, and helps to demystify the core technologies underpinning this transformative trend. The technologies on Gartner’s Hype Cycle fall into four key areas:
- GenAI models: Pretrained AI models are at the core of the GenAI trend. They’re incorporating modalities beyond text and becoming tuned to handle a variety of use cases.
- AI engineering tools: A growing ecosystem of GenAI tools and techniques enables organizations to build, govern and customize GenAI applications.
- Applications and use cases: The huge number of GenAI applications and use cases provides great potential for rapid adoption and business value. But it also forces organizations to rethink GenAI trust, risk and security issues.
- Enablement techniques and infrastructure: GenAI exists and will progress because of both novel techniques and several preexisting AI techniques. Meanwhile, specialized infrastructure will accelerate model training and the inference process.
