Machine Learning as a Service (MLaaS) is machine learning technology that is conscripted from another business. This is similar to SaaS (Software as a Service) or PaaS (Platform as a Service), allowing the use of services rather than wholly creating your own.
Using MLaaS means the computation is handled outside of your company – you pay for the machine learning services needed, and data storage may be handled on your servers or in the cloud.
Key Features
- Automated analysis of online reviews
- Process streamlining
- Enabling self-driving technologies
Segmentation by Type
- Natural Language Processing (NLP)
- Image and Video Analysis
- Computer Vision
Segmentation by Application
- Retail
- Aviation
- Finance
- IT
- Medical Health Care
- Government
- Others
Market by Region
- Americas
- APAC
- Europe
- Middle East & Africa
Company Coverage
- MonkeyLearn
- BigML
- TensorFlow
- IBM Watson
- Apache Mahout
- Azure
- Google Cloud ML
Key Questions Addressed in this Report
Frequently Asked Questions
What is the USP of the report? expand_more
MLaaS Platform report offers great insights of the market and consumer data and their interpretation through various figures and graphs. Report has embedded global market and regional market deep analysis through various research methodologies. The report also offers great competitor analysis of the industries and highlights the key aspect of their business like success stories, market development and growth rate.
What are the key content of the report? expand_more
MLaaS Platform report is categorised based on following features:
- Global Market Players
- Geopolitical regions
- Consumer Insights
- Technological advancement
- Historic and Future Analysis of the Market
What are the value propositions and opportunities offered in this market research report? expand_more
MLaaS Platform report is designed on the six basic aspects of analysing the market, which covers the SWOT and SWAR analysis like strength, weakness, opportunity, threat, aspirations and results. This methodology helps investors to reach on to the desired and correct decision to put their capital into the market.