DataRobot
How DataRobot benefits their customers
Customers evaluate the quality of DataRobot’s products using the following success metrics.
DataRobot’s Customers
See why customers chose DataRobot's products and services. DataRobot's customers include Harmoney, Stanley Black & Decker, and Blue Health Intelligence.
Harmoney is a consumer-direct online lender operating in the financial services industry. The company offers a range of personal loans for various pur…
The machine learning models that Harmoney has created with DataRobot are trained on data captured from more than 300,000 loan applications. These models have proven to be so accurate in their real time predictions of credit default that Harmoney has been able to improve profitability for lenders, reduce costs to borrowers, and sharpen the company's competitive position against incumbent lenders in our market...With DataRobot, we have decreased the time required to deploy predictive models from 12 16 weeks to minutes.
With our deployment of DataRobot, we’re now using artificial intelligence to reduce the risk for our lenders...Our marketplace, which has more than 15,000 members and has facilitated more than $700million in loans, will now feature the same credit risk assessment capabilities used by the best banks in the world.
This is just the next step in our process of disrupting both New Zealand and Australian banking industry and the financial institutions that currently dominate it...Our Australian business is on a bigger trajectory than the New Zealand business, and we are very excited about the opportunities for lending in both countries with machine learning a contributing factor.
Stanley Black & Decker provides tools and innovative solutions. The company offers a range of products that are used in various aspects of daily life,…
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Blue Health Intelligence is a data analytics company that operates in the healthcare sector. The company provides a range of services including transp…
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ThoughtSpot operates as a cloud analytics company. It offers automation in analysis, visualization, connects, operationalizes, and more services. The …
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Tokio Marine (TYO: 8766) is a global insurance group operating in the insurance and financial sectors. The company offers a range of services includin…
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CallMiner provides a platform that analyzes customer interactions across various channels, allowing organizations to interpret sentiment and identify …
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The SBI Group consists of three core businesses: financial services, asset management, and biotechnology-related business. The company provides financ…
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FOXO Technologies is a company focused on the intersection of epigenetic technology and artificial intelligence within the insurance industry. The com…
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Precision Marketing Asia Pacific is a financial consultancy firm based in Sydney, Australia, offering full spectrum, data-driven solutions to banks, r…
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Blue Health Intelligence is a data analytics company that operates in the healthcare sector. The company provides a range of services including transp…
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Adecco Group (VTX:ADEN) operates as a staffing firm. It offers a variety of services, including temporary staffing, permanent placement, career transi…
Challenge: The Adecco Group wanted to use machine learning (ML) and artificial intelligence (AI) to reduce time and speed to fill open positions and improve their hiring attraction pipeline for client talent pools. Solution: The Adecco Group’s initial project incorporated Automated Machine Learning to reduce the time it took for recruiters to fill jobs, while also building a more appealing pipeline for prospective talent. The project leveraged three metrics to gauge success: Productivity, Accuracy, and Interpretability.
Embrace Home Loans is a full-service mortgage lender operating in the financial services industry. The company offers a variety of home loans and refi…
Challenge: Maximize marketing spend and increase revenue across all marketing channels. Solution: Embrace uses DataRobot Zepl and Snowflake to develop APIs and make real time calls, return data, run a scoring algorithm, then customize product offerings in real-time. Result: The lender has decreased cycle times and increased close rates, doubling its ROMI.
U.S. Department of Defense focuses on national security and defense. Its main functions include maintaining military forces to deter war and ensuring …
The United States Army is the branch of the United States armed forces responsible for land-based military operations. It is the largest and oldest es…
GreenPark Sports focuses on the sports and entertainment industry. It provides a digital platform for sports fans to connect and interact with each ot…
DataRobot’s Partnerships
7/16/2024
Teradata operates as a cloud analytics and data platform. Teradata helps businesses make better decisions by providing them with insights into their data. It serves industries such as manufacturing, retail, healthcare, and more. It was founded in 1979 and is based in San Diego, California. show less
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- Predict emerging trends
- See competitors' playbooks
- Stalk the smart money
- Identify tomorrow's challengers
- Spot growing industries
- Kill analyst data work
- Predict emerging trends
- See competitors' playbooks
- Stalk the smart money
- Identify tomorrow's challengers
- Spot growing industries
- Kill analyst data work
Compare DataRobot to Competitors
Databricks is a data and AI company that specializes in unifying data, analytics, and artificial intelligence across various industries. The company offers a platform that facilitates data management, governance, real-time analytics, and the building and deployment of machine learning and AI applications. Databricks serves sectors such as financial services, healthcare, public sector, retail, and manufacturing, among others. It was founded in 2013 and is based in San Francisco, California.
H2O.ai delivers an advanced artificial intelligence (AI) cloud platform. It helps to solve complex business problems and instigate the discovery of new ideas. The company makes machine learning (ML) accessible to corporations and allows business users to extract key information from data with deployments in financial services, government, health, insurance, manufacturing, and other industries. It was formerly known as 0xdata. The company was founded in 2011 and is based in Mountain View, California.
Dataiku develops a centralized data platform. Its solutions include data preparation, visualization, machine learning, analytic applications, and more. The company serves the banking sector, pharmaceuticals, manufacturing telecommunication sector, and more. It was founded in 2013 and is based in New York, New York.
SAS focuses on artificial intelligence (AI) and analytics and operates within the technology sector. The company provides services that enable customers to analyze and interpret data more efficiently and productively. The primary market for SAS's services is businesses across various sectors that require data analysis and interpretation. It was founded in 1976 and is based in Cary, North Carolina.
Microsoft Azure is a cloud computing service created by Microsoft for building, testing, deploying, and managing applications and services through Microsoft-managed data centers.
Amazon Web Services (AWS) specializes in cloud computing services, offering scalable and secure information technology infrastructure solutions across various industries. It provides compute power, database storage, content delivery, and other functionalities to support the development of sophisticated applications. AWS caters to a diverse clientele, including sectors such as financial services, healthcare, telecommunications, and gaming, by providing industry-specific solutions and technologies like analytics, artificial intelligence, and serverless computing. It was founded in 2006 and is based in Duvall, Washington.
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