Emotional Footprint Awards 2024
Machine Learning Platforms
SoftwareReviews names MathWorks MATLAB, Microsoft Azure Machine Learning, Google Cloud Vertex AI, AWS Machine Learning, TensorFlow TFX, and Microsoft Fabric as Machine Learning Platforms Emotional Footprint Award Winners.
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Machine Learning Platforms
Emotional Footprint Awards
SoftwareReviews Emotional Footprint Awards evaluate and rank products based on emotional response ratings from IT and business professionals. Using our Emotional Footprint methodology, we aggregate emotional footprint scores across 26 dimensions of the vendor-client relationship and product effectiveness, creating a powerful indicator of overall user feeling toward the vendor and product.
Emotional Footprint Awards are proudly founded in 100% user review data and are free of traditional “magical” components such as market presence and analyst opinion, which are opaque in nature and may be influenced by vendor pressure, financial or otherwise.
Read The In-Depth Report
See how each vendor stacks up across each of the 26 dimensions and our thorough evaluation of vendor capabilities, product features, and overall satisfaction.
30+ pages
Measuring Emotional Footprint
Emotional Footprint is scored using our “Net Emotional Footprint” Index. This index tracks responses across 26 dimensions of emotional footprint that span 5 categories: Purchasing, Service Experience, Product Impact, Vendor Strategy, and Conflict Resolution. Then, the following calculation is done across this index:
% of Positive Reviews - % of Negative Reviews
For clarity, the total percentage of positive, neutral, and negative ratings is shown for each vendor as well.
Emotional Footprint Leaders
MathWorks
MathWorks MATLAB
MATLAB is a high-level language and interactive environment for numerical computation, visualization, and programming. It is a programming and numeric computing platform used by millions of engineers and scientists to analyze data, develop algorithms, and create models.
9.0
CX Score
CX
Score
+92
Net Emotional Footprint
Net Emotional
Footprint
86
Value Index
VALUE INDEX
Microsoft Corporation
Microsoft Azure Machine Learning
Machine Learning Studio is a powerfully simple browser-based, visual drag-and-drop authoring environment where no coding is necessary. Go from idea to deployment in a matter of clicks. Microsoft Azure Machine Learning Studio is a collaborative, drag-and-drop tool you can use to build, test, and deploy predictive analytics solutions on your data. Machine Learning Studio publishes models as web services that can easily be consumed by custom apps or BI tools such as Excel.
8.9
CX Score
CX
Score
+91
Net Emotional Footprint
Net Emotional
Footprint
88
Value Index
VALUE INDEX
Google Cloud Vertex AI
Cloud Machine Learning Engine is a managed service that lets developers and data scientists build and run superior machine learning models in production. Cloud ML Engine offers training and prediction services, which can be used together or individually. It has been used by enterprises to solve problems ranging from identifying clouds in satellite images, ensuring food safety, and responding four times faster to customer emails. The training and prediction services within ML Engine are now referred to as AI Platform Training and AI Platform Prediction.
8.9
CX Score
CX
Score
+92
Net Emotional Footprint
Net Emotional
Footprint
83
Value Index
VALUE INDEX
Amazon
AWS Machine Learning
Amazon Machine Learning is an Amazon Web Services product that allows a developer to discover patterns in end-user data through algorithms, construct mathematical models based on these patterns and then create and implement predictive applications.
8.7
CX Score
CX
Score
+88
Net Emotional Footprint
Net Emotional
Footprint
84
Value Index
VALUE INDEX
TensorFlow
TensorFlow TFX
TFX is an end-to-end platform for deploying production ML pipelines. A TFX pipeline is a sequence of components that implement an ML pipeline which is specifically designed for scalable, high-performance machine learning tasks. Components are built using TFX libraries which can also be used individually. When you're ready to move your models from research to production, TFX can be used to create and manage a production pipeline.
8.5
CX Score
CX
Score
+97
Net Emotional Footprint
Net Emotional
Footprint
89
Value Index
VALUE INDEX
Microsoft Corporation
Microsoft Fabric
Microsoft Fabric is a platform that allows users to get, create, share, and visualize data using an array of tools. Give your data teams all the tools they need in a unified experience that helps reduce the cost and effort of data integration, governance, and security.
8.5
CX Score
CX
Score
+98
Net Emotional Footprint
Net Emotional
Footprint
89
Value Index
VALUE INDEX
Other Evaluated Vendors
Databricks
Databricks Data Intelligence Platform
The Databricks Data Intelligence Platform allows your entire organization to use data and AI. It’s built on a lakehouse to provide an open, unified foundation for all data and governance, and is powered by a Data Intelligence Engine that understands the uniqueness of your data. From ETL to data warehousing to generative AI, Databricks helps you simplify and accelerate your data and AI goals.
8.4
CX Score
CX
Score
+95
Net Emotional Footprint
Net Emotional
Footprint
84
Value Index
VALUE INDEX
Dataiku
Dataiku
Dataiku is the platform democratizing access to data and enabling enterprises to build their own path to AI in a human-centric way. With Dataiku, everyone can get involved in data and AI projects on a single platform for design and production that delivers use cases in days, not months. No matter where they sit, they work in a safe and governed way that helps manage risk and create trust to drive high-quality outputs and value for your business.
8.2
CX Score
CX
Score
+94
Net Emotional Footprint
Net Emotional
Footprint
81
Value Index
VALUE INDEX
Eclipse Foundation Inc
Eclipse Deeplearning4j
Eclipse Deeplearning4j is the first commercial-grade, open-source, distributed deep-learning library written for Java and Scala. Integrated with Hadoop and Apache Spark, DL4J brings AI to business environments for use on distributed GPUs and CPUs.
8.1
CX Score
CX
Score
+99
Net Emotional Footprint
Net Emotional
Footprint
85
Value Index
VALUE INDEX
KNIME
KNIME Analytics Platform
KNIME offers a complete platform for end-to-end data science, from creating analytical models, to deploying them and sharing insights within the organization, through to data apps and services. The free and open source KNIME Analytics Platform allows users to easily build analyses with an intuitive, low-code/no-code interface. KNIME Business Hub enables users across different disciplines to collaborate and productionize analytical solutions created using KNIME Analytics Platform.
7.9
CX Score
CX
Score
+87
Net Emotional Footprint
Net Emotional
Footprint
82
Value Index
VALUE INDEX
DataRobot, Inc.
DataRobot AI Platform
The DataRobot Enterprise AI platform includes two independent but fully integrable machine learning model building products, and each can be deployed in multiple ways to match your business needs and IT requirements. All configurations feature a constantly expanding set of diverse, best-in-class algorithms from R, Python, H2O, Spark, and other sources, giving you the best set of tools for your machine learning and AI projects.
7.7
CX Score
CX
Score
+81
Net Emotional Footprint
Net Emotional
Footprint
82
Value Index
VALUE INDEX
Alteryx
Alteryx
Alteryx provides a single workflow for data blending, analytics, and reporting. This workflow allows the seamless blending of internal, third party and cloud-based data, and simple analysis using 60+ prebuilt tools for spatial and predictive analytics. With Alteryx Machine Learning’s automated insight generation, you’ll quickly uncover hidden signals and key relationships in your data.
7.7
CX Score
CX
Score
+87
Net Emotional Footprint
Net Emotional
Footprint
82
Value Index
VALUE INDEX
H2O.ai
H2O AI Cloud
H2O is a fully open source, distributed in-memory machine learning platform with linear scalability. H2O supports the most widely used statistical & machine learning algorithms including gradient boosted machines, generalized linear models, deep learning and more. H2O also has an industry leading AutoML functionality that automatically runs through all the algorithms and their hyperparameters to produce a leaderboard of the best models.
7.5
CX Score
CX
Score
+86
Net Emotional Footprint
Net Emotional
Footprint
84
Value Index
VALUE INDEX
Altair Engineering, Inc.
Altair RapidMiner
Regardless of where your organization is on its data journey, Altair RapidMiner can help overcome the most challenging obstacles in your way. We offer a path to modernization for established data analytics teams as well as a path to automation for teams just getting started. We do this without requiring your organization to radically change your people, processes, computing environment, or existing data landscape, helping you achieve your data goals without changing who you are or what you have.
7.3
CX Score
CX
Score
+80
Net Emotional Footprint
Net Emotional
Footprint
81
Value Index
VALUE INDEX
Altair Engineering, Inc.
Altair Data Analytics & AI
Altair Data Analytics enables organizations worldwide to compete more effectively by operationalizing data analytics and AI with secure, governed, and scalable strategies. We deliver world-class, self-service analytics solutions for data preparation, predictive modeling, stream processing, visualization and more. Our solutions are designed for many different skill sets: from data scientists and engineers to MLOps specialists to business analysts to executives. With a no-code, cloud-ready interface, organizations can harness the full power of analytics and AI throughout its complete data lifecycle, driving next-level business results.
7.0
CX Score
CX
Score
+79
Net Emotional Footprint
Net Emotional
Footprint
75
Value Index
VALUE INDEX
For the full list of vendors in this space, click here.
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