- Find out Gartner's definitions, analysis, advice, and projected business impacts of more than 25 data science and machine learning technologies.
- Understand the technologies generating excitement and any significant movements in adoption and maturity.
- Gain insights to help evaluate your current capabilities and technology adoption prospects, and achieve greater success with data and analytics initiatives by focusing on the right investments.
- Get comprehensive assessments of technologies that might be too expensive, risky, or overhyped to justify adoption.
- Read about the relative benefits of each technology, including a projection of which ones will have the greatest mainstream impact over the next two to ten years.
Hype Cycle for Data Science and Machine Learning
Download the Gartner Hype Cycle report
Resource ‘Hype Cycle for Data Science and Machine Learning’ is not available in English (UK). The information is available in English (US).