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Emotional Footprint Awards 2022

Machine Learning


SoftwareReviews names MathWorks Matlab, Databricks Lakehouse Platform, and Dataiku as Machine Learning Emotional Footprint Award Winners.


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Machine Learning

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.

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See how each vendor stacks up across each of the 26 dimensions and our thorough evaluation of vendor capabilities, product features, and overall satisfaction.

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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.

9.2

CX Score

CX
Score

+97

Net Emotional Footprint

Net Emotional
Footprint

87

Value Index

VALUE INDEX

0% Negative 97% Positive
Badge Winner
29Reviews

Databricks

Databricks Lakehouse Platform

The Databricks Lakehouse Platform combines the best elements of data lakes and data warehouses to deliver the reliability, strong governance and performance of data warehouses with the openness, flexibility and machine learning support of data lakes.

8.7

CX Score

CX
Score

+92

Net Emotional Footprint

Net Emotional
Footprint

81

Value Index

VALUE INDEX

1% Negative 93% Positive
Badge Winner
16Reviews

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.

8.5

CX Score

CX
Score

+92

Net Emotional Footprint

Net Emotional
Footprint

78

Value Index

VALUE INDEX

1% Negative 93% Positive
Badge Winner
19Reviews

Other Evaluated Vendors


KNIME

KNIME Analytics Platform

At KNIME, we build software to create and productionize data science using one easy and intuitive environment, enabling every stakeholder in the data science process to focus on what they do best. One enterprise-grade software platform, two complementary tools. Open source KNIME Analytics Platform for creating data science and commercial KNIME Server for productionizing data science.

8.3

CX Score

CX
Score

+84

Net Emotional Footprint

Net Emotional
Footprint

81

Value Index

VALUE INDEX

2% Negative 86% Positive
17Reviews

Google

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.

8.3

CX Score

CX
Score

+86

Net Emotional Footprint

Net Emotional
Footprint

79

Value Index

VALUE INDEX

4% Negative 90% Positive
29Reviews

RapidMiner

RapidMiner

Built for analytics teams, RapidMiner unifies the entire data science lifecycle from data prep to machine learning to predictive model operations.

8.2

CX Score

CX
Score

+82

Net Emotional Footprint

Net Emotional
Footprint

82

Value Index

VALUE INDEX

5% Negative 87% Positive
18Reviews

DataRobot, Inc.

DataRobot AI Cloud

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.

8.1

CX Score

CX
Score

+80

Net Emotional Footprint

Net Emotional
Footprint

82

Value Index

VALUE INDEX

4% Negative 84% Positive
22Reviews

Alteryx, Inc.

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.

8.1

CX Score

CX
Score

+81

Net Emotional Footprint

Net Emotional
Footprint

80

Value Index

VALUE INDEX

6% Negative 87% Positive
26Reviews

Amazon.com

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.

7.5

CX Score

CX
Score

+70

Net Emotional Footprint

Net Emotional
Footprint

79

Value Index

VALUE INDEX

7% Negative 77% Positive
19Reviews

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.

6.6

CX Score

CX
Score

+62

Net Emotional Footprint

Net Emotional
Footprint

70

Value Index

VALUE INDEX

12% Negative 74% Positive
14Reviews

For the full list of vendors in this space, click here.

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