Supports a variety of scripting environments This feature was mentioned in 20 Qlik Predict reviews.
Data Mining
Mines data from databases and prepares data for analysis 25 reviewers of Qlik Predict have provided feedback on this feature.
Algorithms
As reported in 26 Qlik Predict reviews. Applies statistical algorithms to selected data
Data Analysis (2)
Analysis
Analyzes both structured and unstructured data 31 reviewers of Qlik Predict have provided feedback on this feature.
Data Interaction
Based on 31 Qlik Predict reviews. Interacts with data to prepare it for visualizations and models
Decision Making (4)
Modeling
Offers modeling capabilities 29 reviewers of Qlik Predict have provided feedback on this feature.
Data Visualizations
Creates data visualizations or graphs 30 reviewers of Qlik Predict have provided feedback on this feature.
Report Generation
Based on 29 Qlik Predict reviews. Generates reports of data performance
Data Unification
Based on 26 Qlik Predict reviews. Unifies information on a singular platform
Model Development (4)
Drag and Drop
Based on 28 Qlik Predict reviews. Offers the ability for developers to drag and drop pieces of code or algorithms when building models
Pre-Built Algorithms
Based on 29 Qlik Predict reviews. Provides users with pre-built algorithms for simpler model development
Model Training
Supplies large data sets for training individual models 28 reviewers of Qlik Predict have provided feedback on this feature.
Feature Engineering
Transforms raw data into features that better represent the underlying problem to the predictive models This feature was mentioned in 27 Qlik Predict reviews.
Machine/Deep Learning Services (3)
Natural Language Processing
Offers natural language processing services 21 reviewers of Qlik Predict have provided feedback on this feature.
Natural Language Generation
Based on 11 Qlik Predict reviews. Offers natural language generation services
Natural Language Understanding
Based on 18 Qlik Predict reviews. Offers natural language understanding services
Deployment (3)
Managed Service
As reported in 27 Qlik Predict reviews. Manages the intelligent application for the user, reducing the need of infrastructure
Application
Based on 27 Qlik Predict reviews. Allows users to insert machine learning into operating applications
Scalability
Based on 28 Qlik Predict reviews. Provides easily scaled machine learning applications and infrastructure
System (1)
Data Ingestion & Wrangling
As reported in 26 Qlik Predict reviews. Gives user ability to import a variety of data sources for immediate use
Generative AI (5)
AI Text Generation
Allows users to generate text based on a text prompt.
AI Text Summarization
Condenses long documents or text into a brief summary.
AI Text Generation
Allows users to generate text based on a text prompt.
AI Text Summarization
Condenses long documents or text into a brief summary.
AI Text-to-Image
Provides the ability to generate images from a text prompt.
Agentic AI - Data Science and Machine Learning Platforms (7)
Autonomous Task Execution
Capability to perform complex tasks without constant human input
Multi-step Planning
Ability to break down and plan multi-step processes
Cross-system Integration
Works across multiple software systems or databases
Adaptive Learning
Improves performance based on feedback and experience
Natural Language Interaction
Engages in human-like conversation for task delegation
Proactive Assistance
Anticipates needs and offers suggestions without prompting
Decision Making
Makes informed choices based on available data and objectives
Data Ingestion & Preparation - Low-Code Machine Learning Platforms (3)
Automatic Data Profiling & Quality Assessment
Analyzes incoming datasets to surface missing values, distributions, outliers, and data quality issues automatically
Multi‑Source Connector Support
Enables users to ingest data from diverse sources (databases, APIs, cloud storage, spreadsheets) without custom coding
Schema Drift / Change Detection
Automatically alerts users when incoming data’s schema deviates from expected structure over time
Model Construction & Automation - Low-Code Machine Learning Platforms (3)
Guided Algorithm & Hyperparameter Recommendation
Suggests or auto‑selects candidate algorithms and hyperparameters based on dataset characteristics
Code Extensibility
Allows users to insert custom code (e.g. Python, R, SQL) or custom modules into pipeline stages for flexibility
Automated Feature Engineering
Automatically proposes or applies derived features to improve model performance
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