Suppliers United States DataRobot

	DataRobot
HQ Location	United States
HQ City	Boston
Year Founded	2012
Company Type	Private
Revenue	$10-100m
Employees	201 - 1,000
Website	Open website

DataRobot

HQ Location

United States

HQ City

Boston

Year Founded

2012

Company Type

Private

Revenue

$10-100m

Employees

201 - 1,000

Website

Open website

Company Description	DataRobot offers a Machine Learning platform for data scientists of all skill levels to build and deploy accurate predictive models in a fraction of the time it used to take. The technology addresses the critical shortage of data scientists by changing the speed and economics of predictive analytics.The DataRobot platform uses massively parallel processing to train and evaluate 1000's of models in R, Python, Spark MLlib, H2O and other open-source libraries. It searches through millions of possible combinations of algorithms, pre-processing steps, features, transformations, and tuning parameters to deliver the best models for your dataset and prediction target. The DataRobot platform evaluates hundreds of cutting-edge Machine Learning algorithms to discover, deploy, and customize the best Machine Learning models for every situation. It also delivers the most accurate insights at scale, providing the fastest path to Data Science success for organizations of all sizes. DataRobot was founded in June 2012 and is headquartered in Boston, Massachusetts, USA. Read More
IoT Solutions	Automated Machine Learning Automate the creation of advanced Machine Learning models that incorporate our world-class Data Science expertise. Automated Time Series Automate the development of sophisticated time series models that predict the future values of a data series based on its history and trend. Organizations of all sizes will improve forecasts for sales volume, product demand by SKU, staffing, inventory, and a host of financial applications. MLOps Delivering the capabilities that Data Science and IT Ops teams need to work together to deploy, monitor, and manage Machine Learning models in production. Read More Log in to view content
Key Customers	Accenture, Aegon, Deloitte, Havard Business School, Panasonic, Lenovo, United Airlines Read More Log in to view content
Contents

Company Description

DataRobot offers a Machine Learning platform for data scientists of all skill levels to build and deploy accurate predictive models in a fraction of the time it used to take. The technology addresses the critical shortage of data scientists by changing the speed and economics of predictive analytics.The DataRobot platform uses massively parallel processing to train and evaluate 1000's of models in R, Python, Spark MLlib, H2O and other open-source libraries. It searches through millions of possible combinations of algorithms, pre-processing steps, features, transformations, and tuning parameters to deliver the best models for your dataset and prediction target. The DataRobot platform evaluates hundreds of cutting-edge Machine Learning algorithms to discover, deploy, and customize the best Machine Learning models for every situation. It also delivers the most accurate insights at scale, providing the fastest path to Data Science success for organizations of all sizes. DataRobot was founded in June 2012 and is headquartered in Boston, Massachusetts, USA.

IoT Solutions

Automated Machine Learning
Automate the creation of advanced Machine Learning models that incorporate our world-class Data Science expertise.

Automated Time Series
Automate the development of sophisticated time series models that predict the future values of a data series based on its history and trend. Organizations of all sizes will improve forecasts for sales volume, product demand by SKU, staffing, inventory, and a host of financial applications.

MLOps
Delivering the capabilities that Data Science and IT Ops teams need to work together to deploy, monitor, and manage Machine Learning models in production.

Key Customers

Accenture, Aegon, Deloitte, Havard Business School, Panasonic, Lenovo, United Airlines

DataRobot is a provider of Industrial IoT infrastructure as a service (iaas), platform as a service (paas), and analytics and modeling technologies, and also active in the finance and insurance, healthcare and hospitals, oil and gas, retail, and security and public safety industries.

Technologies

Analytics & Modeling

Machine Learning

Robotic Process Automation (RPA)

Predictive Analytics

Infrastructure as a Service (IaaS)

Hybrid Cloud

Private Cloud

Platform as a Service (PaaS)

Data Management Platforms

Use Cases

Demand Planning & Forecasting

Predictive Maintenance

Functions

Discrete Manufacturing

Product Research & Development

Industries

Finance & Insurance

Healthcare & Hospitals

Oil & Gas

Retail

Security & Public Safety

Services

Data Science Services

DataRobot’s Technology Stack maps DataRobot’s participation in the infrastructure as a service (iaas), platform as a service (paas), and analytics and modeling IoT technology stack.

Application Layer
Functional Applications

Cloud Layer
Platform as a Service

Infrastructure as a Service

Edge Layer
Automation & Control

Processors & Edge Intelligence

Actuators

Sensors

Devices Layer
Robots

Drones

Wearables

Supporting Technologies
Analytics & Modeling

Application Infrastructure & Middleware

Cybersecurity & Privacy

Networks & Connectivity

Technological Capability

None

Minor

Moderate

Strong

Number of Case Studies4

	Demystifying Data Science: A Case Study on DemystData and DataRobot DemystData, a New York-based software company, is dedicated to demystifying data for its clients, particularly financial institutions. Despite the increasing use of data in the financial sector, it is still heavily underutilized, leading to business decisions being made based on suboptimal or incomplete data. DemystData aims to close this gap by providing clients with access to new and more data. However, as datasets grow larger and data sources become more varied, the complexity increases, leading to more time-consuming work for the limited pool of data science resources at the company. The challenge was to manage this increasing complexity and workload without compromising the quality of data analysis and insights.
	Accelerates Data Discovery, Testing, and Deployment As datasets get bigger and data sources more varied, complexity increases and work processes become more time-consuming. Demyst clients need help identifying which external data attributes are predictive in marketing, risk, and portfolio management use cases across the vast ocean of external data.
	84.51° Enhances Personalized Shopping Experience for Kroger Shoppers with DataRobot 84.51°, a retail data science, insights, and media company, was faced with the challenge of creating more personalized and valuable experiences for shoppers across the path to purchase. This included the entire customer journey, from initial awareness to activation, retention, and beyond. The company's goal was to leverage 1st-party retail data from over 62 million U.S. households to fuel a more customer-centric journey. However, the sheer volume of data and the complexity of creating personalized experiences for such a large customer base presented a significant challenge. The company needed a solution that would enable better production, deployment, and interpretation of data science models to meet its objectives.

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Overview

DataRobot

IoT Snapshot

Technology Stack

Case Studies

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