Hype Cycle for Data Science and Machine Learning
Download the Gartner Hype Cycle report
Ongoing excitement around advanced analytics has produced a dense cluster of related technologies. Some have already achieved peak maturity, others never will, and still others show promise for guiding new levels of success of future data science endeavors.
- 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.