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PAT Index™
 
1
RapidMiner Studio
 
2
KNIME Analytics Platform
 
3
Dataiku DSS
 
4
Microsoft Azure Machine Learning
 
5
Anaconda
 
6
Google Cloud Prediction API
 
7
Datumbox
 
8
H2O.ai
 
9
Blue Yonder Platform
 
10
GraphLab Create
 
11
Predixion Insight
 
12
indico
 
13
AgilOne Predictive Marketing Cloud
 
14
BigML
 
15
LinkedIn Sales Navigator
 
16
Logical Glue
 
17
Versium Predictive Scores
 
18
Elastic X-Pack
 
19
Lumiata
 
20
Apigee
 
21
Lattice Engines
 
22
PredicSis
 
23
Zementis
 
24
Intuitics
 
25
Swift
 
26
Yottamine
 
27
Ersatz
 
28
SalesForceIQ
 
29
InsideView
 
30
Zilliant
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Predictive Analytics API
Most Recent
 
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February 7, 2017

RapidMiner Studio

RapidMiner Studio is a visual design environment for rapidly building complete predictive analytic workflows. It provides a deep library of machine learning algorithms, data preparation and exploration functions, and model validation tools to support all your data science projects and use cases.Data science teams can easily re-use existing R and Python code, and add new functionality via a large marketplace of pre-built extensions. RapidMiner provides an integrated environment for machine learning, data mining, text mining, predictive analytics and business analytics and is used for business and industrial applications as well as for research, education, [...]

2393
 
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February 7, 2017

KNIME Analytics Platform

KNIME, the Konstanz Information Miner, is an open source data analytics, reporting and integration platform. KNIME integrates various components for machine learning and data mining through its modular data pipelining concept and provides a graphical user interface allows assembly of nodes for data preprocessing, for modeling and data analysis and visualization.

KNIME Collaborative Extensions and KNIME Analytics Platform includes KNIME TeamSpace, KNIME Server Lite,KNIME WebPortal, and KNIME Server.

KNIME Analytics Platform provides over 1000 data analytic routines, either natively or [...]

2318.5
 
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January 1, 2017

Elastic X-Pack

X-Pack installs as a single pack for Elasticsearch and Kibana, making it easy to do things like secure the data living in Elasticsearch or add a login screen via Kibana. X-Pack is available on Elastic Cloud, the service that lets you easily deploy the latest versions of Elasticsearch and Kibana and X-Pack features built by the creators of the Elastic Stack. X-Pack security features give the right access to the right people. IT, operations, and application teams rely on X-Pack to manage well-intentioned users and keep nefarious actors at bay, while executives and customers can rest easy knowing data stored in the Elastic Stack is safe and secure. The [...]

35.75
 
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December 19, 2016

GraphLab Create

GraphLab Create is a machine learning platform to build intelligent, predictive application involving cleaning the data, developing features, training a model, and creating and maintaining a predictive service. These intelligent applications provide predictions for use cases including recommenders, sentiment analysis, fraud detection, churn prediction and ad targeting. Trained models can be deployed on Amazon Elastic Compute Cloud (EC2) and monitored through Amazon CloudWatch. They can be queried in real-time via a RESTful API and the entire deployment pipeline is seen through a visual dashboard. The time from prototyping to production is dramatically [...]

108.5
 
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November 25, 2016

PredicSis

Predicsis provides state-of-the art automatic Predictive Analytics solutions (API or ML Studio) in order to increase business performance. Increase Customer Lifetime value, optimize campaigns performance or decrease fraud by focusing on the business not on the algorithm. PredicSis is a robust collection of strong disruptive Machine Learning algorithms, which automatically anticipates customer behaviors of all sorts with the goal of helping the businesses in increasing turnover. PredicSis artificial intelligence algorithms analyze past customer profiles and on their bases it predicts present and future customer behaviors and needs. PredicSis works very [...]

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