MATLAB Features

Supports programming languages such as Java, C, or Python. Supports front-end languages such as HTML, CSS, and JavaScript

Offers the ability for developers to drag and drop pieces of code or algorithms when building models

Provides users with pre-built algorithms for simpler model development

Supplies large data sets for training individual models

Supports common databases such as MySQL and Oracle

Manage and support multiple languages

Transforms raw data into features that better represent the underlying problem to the predictive models

Offers image recognition services

Offers natural language processing services

Offers natural language generation services

Offers artificial neural networks for users

Offers natural language understanding services

Provides deep learning capabilities

Manages the intelligent application for the user, reducing the need of infrastructure

Allows users to insert machine learning into operating applications

Provides easily scaled machine learning applications and infrastructure

Facilitates analysis of high-volume, real-time data.

Allows user to query data through query languages like SQL.

View and track pertinent metrics to find patterns and gain insights from data

Predict future data based on historical data sets

Interact with data visualization elements, such as charts and graphs, to drill down into data

Aligns processing and distribution workflows on top of Apache Hadoop

Aligns processing and distribution workflows on top of Apache Spark

Integrates data from multiple external databases.

Facilitates the dissemination of collected big data throughout parallel computing clusters.

Receive data and information in real time

Import, collect, and capture data from multiple sources

Review data from past periods to reveal recurring tendencies and predict future performance

Provides varying estimates based on different scenarios

Apply statistical/mathematical models to sets of data

Merge data from multiple sources to a single data set

Set up connections to third-party platforms to improve business processes

Processes data and represents interpretations in a variety of graphic formats.

Strings together specific functions and datasets to automate analytics iterations.

Allows big data tool to run and record data within external applications.

Use notebooks for tasks such as creating dashboards with predefined, scheduled queries and visualizations

Discover and connect variety of data sources to the application for analysis

Ability to modify 3D primitives (parametric editing tools, free-form editing tools, symmetrical editing process, etc.)

Ability to access basic drawing tools (line, circle, polygons, etc.)

Ability to access basic editing tools (erase, trim, extend, undo, etc.)

Ability to access rendering tools (lighting tools, texture mapping, custom material creation, etc.)

probability model based on random variations of variables

Share and present designs

Ability to conduct computational fluid dynamics and thermal analysis

Ability to conduct finite element analysis test

Ability to conduct kinematics and dynamic analysis of mechanisms

Simulate physical behavior for a design or structure

Ability to model discrete event simulation such as analyzing event-driven system models and optimizing performance characteristics such as latency, throughput, and packet loss.

Ability to model continous event simulation

Ability to conduct mechanical event simulation

Ability to model a manufacturing processes like casting, molding and die press forming

Ability to integrate with CAD and PLM software

model to predict fluid dynamics, not limited to airflow

simulation based on physical movement

Ability to learn and adapt from interactions with environment and data, and to model varying behavior over time.

Representing and explaining real systems and occurrences using math formulas, descriptions, and approaches

Model actions and effects based on autonomous agents in a system

stochastic model based on repeated random sampling

Ability to support a sufficient number of hardware developers (by default or through the use of custom drivers).

Support for custom interfaces designed around specific design tasks, by default (out of the box) or through user customization.

Support for multiple user interface customizations. Can store and recall interfaces as required by a specific user without closing the application and without the need for scripting knowledge.

Names of basic commands are clear and easy to understand. On-cursor documentation, such as tool tips and pop-up descriptions, provide clarification of icons and other user interface elements.

Gives user ability to import a variety of data sources for immediate use

Receive data and information in real time

Allows users to generate text based on a text prompt.

Condenses long documents or text into a brief summary.

Provides the ability to generate images from a text prompt.

Use AI to generate content in the form of text, images, videos, etc.

Capability to perform complex tasks without constant human input

Ability to break down and plan multi-step processes

Works across multiple software systems or databases

Improves performance based on feedback and experience

Engages in human-like conversation for task delegation

Anticipates needs and offers suggestions without prompting

Makes informed choices based on available data and objectives

Set up connections to third-party platforms to improve business processes

Alter the layout and content of reports

Provides a channel for team members to share media files, communicate, and work together

Automatically retrieve and pull information from documents, websites, images, data sets, and other sources

Manage and store data in a database

Generate one-off reports that meet information requirements

View and track pertinent metrics to find patterns and gain insights from data

Predict future data based on historical data sets

Dashboard to view the status of ongoing processes, identify current incidents and track past activities

Define levels of authorization for access to specific files or systems

Interact with data visualization elements, such as charts and graphs, to drill down into data

Track the management and flow of data throughout the organization

Synchronizing data between two or more devices/systems and automatically updating changes to maintain consistency

Apply statistical/mathematical models to sets of data

Organize and group data or items based on various criteria

Review data from past periods to reveal recurring tendencies and predict future performance

Examines, analyzes, and organizes data to create relevant summaries or graphs.

Graphical representation of data

Application programming interface that allows for integration with other systems/databases

Allows users to manage data from a number of sources

Categorize emotions expressed in written text or images and identify if they are positive, negative or neutral

Search and filter data across systems to locate required information by entering keywords or certain criteria

Import and export data to and from software applications

Import, collect, and capture data from multiple sources

A virtual assistant that uses AI to pursue goals and complete tasks on behalf of users

Observe and track the demand, usage, progress or quality of a system, product, or user

Connect to big data sources

Transforming unstructured text into a structured format to identify meaningful patterns and new insights

Collection, analysis, and representation of numerical data and generation of reports to understand various patterns

Analyzing historical and current data and generating a model to help predict future outcomes.

Analyze and gain insights into data in real-time

Configure existing workflows to meet your organization's needs

Attach digital tags to documents and assets for identification, search, or monitoring purposes

Track status, assign actions, and control access to systems for devices within the organization

Drag and drop/visual interfaces that allow non-tech users to build without writing code

Transforming raw data to run it through machine learning algorithms to uncover insights or make predictions.

Examine established processes and records to ensure accuracy, compliance, and policy adherence

Examine large amounts of data to uncover hidden patterns, correlations, and other insights

Share, track, and store machine learning models and data.

Ability to handle large datasets

Track and document all activities across devices, networks, and other systems

Protect sensitive data for digital privacy

Create, design and manage workflows for repetitive tasks

Dashboard to view the status of ongoing processes, identify current incidents and track past activities

Configure existing workflows to meet your organization's needs

Application programming interface that allows for integration with other systems/databases

Process of checking different types of data for accuracy to avoid errors or inconsistencies

Graphical representation of data

Use AI to generate content in the form of text, images, videos, etc.

Representation of any object in 3D

Estimate or forecast of a future scenario based on the study of present trends

Import and export data to and from software applications

Collaborate on creating a product by sharing and adjusting designs through a shared portal

Assemble applications and processes by dragging over and arranging pre-built components

Active monitoring of systems, applications, or networks

Track revisions and updates made to files and navigate between different versions

Interact with data visualization elements, such as charts and graphs, to drill down into data

Set up connections to third-party platforms to improve business processes

Define levels of authorization for access to specific files or systems

Create, design and manage workflows for repetitive tasks

Capabilities within graphical user interfaces that allow users to interact directly with objects to perform a task

Develop potential scenarios to identify risks and opportunities

Capture, organize and track product-specific data and information in a centralized location

Predict future data based on historical data sets

Track and monitor efficient handling of all changes/transitions

Monitor and manage manufacturing and production processes.

Create labels for products that contain required information such as colors, sizes, dates, etc.

Centralized repository to store content and assets

Store, manage, and track all electronic documents in a centralized location

Receive data and information in real time

Collection, analysis, and representation of numerical data and generation of reports to understand various patterns

Automates and streamlines business processes by creating a sequence of predefined rules and actions that govern the flow of work

Create, save, and store files

Track and manage adherence to policies for any service, product, process, or supplier

Create, manage, and track policies and procedures within an organization

Visual representation of data using various graphical elements such as charts, graphs, maps & other visual aids

Alter the layout and content of reports

Create, design and modify the flow and processes of tasks in a project

View and track pertinent metrics to find patterns and gain insights from data

Database containing variables, data, and templates for mathematical analysis

Create, manage, or update project workflows.

A virtual assistant that uses AI to pursue goals and complete tasks on behalf of users

Organize and manage the accomplishments and development of employees or performance of applications or systems

Central repositories of integrated data from various sources

Assemble applications and processes by dragging over and arranging pre-built components

Dashboard to view the status of ongoing processes, identify current incidents and track past activities

Connect to big data sources

Generate one-off reports that meet information requirements

Alter the layout and content of reports

System alerts about the need to escalate an issue or request

Sample files or documents that could be customized as needed or used as is

Form predictions based on past and present data/trends

Move from one database to another, or upgrade the version of database software being used

Translate EDI formats into data suitable for use with company applications.

Define levels of authorization for access to specific files or systems

Application programming interface that allows for integration with other systems/databases

Removes data that is incomplete, inaccurate, or irrelevant from a dataset

Synchronizing data between two or more devices/systems and automatically updating changes to maintain consistency

A virtual assistant that uses AI to pursue goals and complete tasks on behalf of users

Creation and customization of dashboards

Automatically retrieve and pull information from documents, websites, images, data sets, and other sources

Protect sensitive data for digital privacy

Security protocol that ensures secure, encrypted communication over the internet, safeguarding sensitive data from unauthorized access

Provides a channel for team members to share media files, communicate, and work together

Drag and drop/visual interfaces that allow non-tech users to build without writing code

Process and analyze large volume of data

Supports common databases such as MySQL and Oracle

Search and filter data across systems to locate required information by entering keywords or certain criteria

Use AI to generate content in the form of text, images, videos, etc.