Creating Machine Learning Models Takes too Much Time
Once a use case is actually defined, it takes 66% of organizations more than a month to develop an ML model. For 64% of organizations, it takes at least another month to deploy that model.
Tag: Artificial intelligence
How Long Does a Machine Learning Deployment Take?
On average, 40% of companies said it takes more than a month to deploy an ML model into production, 28% do so in eight to 30 days, while only 14% could do so in seven days or less.
Whose Hardware Will Run Analytics, AI and ML Workloads?
42% of respondents exclusively rely on third-party cloud providers’ hardware built to build AI/ML models, but only 12% will do so three years from now. Instead, a majority will use a combination of both on-premises and public cloud. Many companies may have gone first to cloud providers because they wanted to quickly launch AI/ML activities. These same companies may migrate to on-premises environments for specialized workloads to reduce costs as they scale-up into production or use proprietary data.
Machine Learning Developers Don’t Predict
A majority of developers involved with machine learning do not use models to generate predictions.
Data Scientists, Not Developers, Lead Machine Learning Efforts
51% of data specialists that are doing ML said their models are created by an internal data science team.
Alternative Approach to Assessing the Cloud Market
Every earnings season we realize how little is known about the competitive positions of the major cloud vendors. Instead of relying on vendor-provided information and surveys, we looked at data collected by HG Data, which utilized machine learning and artificial intelligence techniques. To some extent, the results validated surveys […]