Machine Learning Platforms (ML) Platform
About
A comprehensive collection of tools, libraries and resources that allows data scientists and machine learning engineers to build and deploy Machine Learning (ML) powered business applications. ML tools automate the delivery life-cycle of predictive applications capable of processing big data using machine learning algorithms.
Common Features
- Data Ingestion
- Data Pre-Processing
- Feature Engineering
- Algorithm Diversity
- Model Training
- Model Tuning
- Model Monitoring and Management
- Performance and Scalability
- Ensembling
- Openness and Flexibility
- Explainability
- Data Exploration and Visualization
- Pre-Packaged AI/ML Services
- Data Labeling
- Algorithm Recommendation
Our Methodology
Composite Score
Vendors are ranked by the composite score, which is comprised of feature, capability, relationship, and overall satisfaction scores while factoring in the volume and recency of reviews.
CX Score
The CX score is comprised of the emotional footprint metrics, balanced by metrics related to the overall value of the software, while factoring in the volume and recency of reviews.
Data Quadrant
SoftwareReviews collects user insights that help organizations more effectively choose software that meets their needs, measure business value, and improve selection.
Rankings, results, and positioning on SoftwareReviews reports is based entirely on end-user feedback solicited from a proprietary online survey engine.
Leaders
Products that resonate strongest in the market, balancing features with a great user experience.
Product Innovators
Products that emphasize product features, gaining strong recommendations from their customers.
Service Stars
Products that emphasize a good user experience and build strong relationships with customers.
Challengers
Products that are strong performers in some areas and trail in others. Often up-and-coming vendors.
Emotional Footprint
SoftwareReviews collects user insights that help organizations more effectively choose software that meets their needs, measure business value, and improve selection.
Rankings, results, and positioning on SoftwareReviews reports is based entirely on end-user feedback solicited by a proprietary online survey engine.
Champions
Products that resonate highly with users at an emotional level. Users have specific emotional views towards these products like love, trust, and effectiveness.
Relationship Builders
Products that are bulletproof and focus on fulfilling core needs with steady support, not the latest feature.
Value Players
Products that succeed on cost and service effectiveness with users.
Contenders
Products seen as good in some areas and trailing in others. Users look to these for innovation at the edge but aren't fully committed.
Top Machine Learning Platforms (ML) Platform Software
2023 Data Quadrant Awards
2023 Emotional Footprint Awards
At SoftwareReviews, we take pride in recognizing excellence. Each year, we present the Data Quadrant Awards to top-performing software products based solely on authentic user reviews, without any paid placements or analyst opinions. These awards highlight software products that excel in terms of features, vendor capabilities, and customer relationships, earning them the highest overall rankings.
At SoftwareReviews, we take pride in recognizing excellence. Each year, we present the Emotional Footprint Awards to top-performing software products based solely on authentic user reviews, without any paid placements or analyst opinions. These awards shine a spotlight on software vendors who excel in crafting and nurturing strong customer relationships.
