Today, we announced DataRobot AI Cloud for Industries, a comprehensive solution that unites AI capabilities and best practices, integrations, and expanded partnerships for major industries. 

Leveraging our deep expertise working with many of the largest and most successful organizations in the world, including a third of the Fortune 50, DataRobot AI Cloud for Industries extends AI Cloud with tailored solutions for banks, healthcare companies, manufacturers and retailers to transform their operations and how they deliver services for their teams and customers. This will be further expanded to energy, life sciences, insurance, government, telecommunications and media organizations in 2022.

With DataRobot AI Cloud for Industries, we’re excited to announce expanded partner-delivered and partner-enabled offerings for these key industries with our growing ecosystem of strategic partners. These solutions are designed to integrate intelligent insights into data platforms, applications, and systems integrator services that provide customers with the critical capabilities they need to accelerate growth, operate at scale and meet the specific challenges facing their industry. 

Snowflake

DataRobot and Snowflake’s powerful integrations provide an end-to-end data and AI solution to solve critical challenges within the banking, retail, and healthcare industries. With the ability to unify datasets and deliver trusted prediction models at scale, banks are empowered to overcome complex challenges like fraud detection and customer personalization; retailers can seamlessly and efficiently create real-time, personalized customer experiences; and healthcare providers can dramatically improve patient outcomes and operational efficiency at scale, with the accuracy, fairness and governance that the industry requires. 

Learn more with our program of exclusive industry-events showcasing how DataRobot and Snowflake can help unleash the power of AI Cloud and the Data Cloud. 

AWS

DataRobot AI Cloud on AWS enables organizations across the banking and healthcare industry to easily build, deploy, and monitor machine learning models that yield actionable insights and ROI. Banking organizations can reduce overhead and scale machine learning services as required to deliver on critical use cases like model risk and validation, anti-money laundering, fraud detection, and credit and repayment risk. Healthcare providers are enabled with the predictive power to reduce healthcare costs, readmissions and improve patient outcomes. 

Palantir

DataRobot and Palantir have partnered to create a custom framework that will empower retailers and manufacturing companies to take on a more nimble strategy to demand forecasting, eliminating the time and resources spent on manual data cleansing and one-off manual modeling. The solution combines the best of Palantir Foundry and DataRobot model development capabilities to give customers the ability to create, test and update data-driven forecasting models in minutes, not months, from a single platform. 

Microsoft

Together with Microsoft, DataRobot is enabling manufacturers to deliver more connected, intelligent AI solutions at scale. With DataRobot AI Cloud and Azure Percept, manufacturers will soon be able to deliver predictive insights and intelligence right in the moments where decisions become mission critical, like detecting defects and ensuring worker safety. 

BCG

By combining BCG’s domain expertise in health care quality and AI with DataRobot’s end-to-end AI Cloud platform, health care companies have the human expertise and technical know-how needed to experience continuous value from their AI deployments. This empowers health care companies to develop and deploy trusted AI solutions to tackle their most important challenges.

FactSet

DataRobot on FactSet allows asset managers, banks, and hedge funds to produce predictions, automated insights, and forecasts from the expansive data within the FactSet platform. By providing access to hundreds of advanced machine learning models backed by the knowledge, experience, and best practices of the world’s leading data scientists directly to FactSet users, this partnership gives quantitative and fundamental research professionals alike the data and tools they need to build integrated AI-Driven investment decision processes quickly and easily, without writing any code.

InterSystems

Designed to accelerate the application of AI in healthcare, the integration between the InterSystems IRIS data platforms and DataRobot AI Cloud allows SQL developers to create accurate machine learning models without moving any data. It also enables powerful predictions and insights from machine learning models created by DataRobot to be called directly from within real-time, event-driven InterSystems IRIS healthcare applications. Together, DataRobot and Intersystems are making it easier for customers to integrate AI-driven insights into real-time workflows to deliver better outcomes, improve customer and patient experiences, and improve operational efficiencies.

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About the author

Nick King

Chief Marketing Officer, DataRobot

Nick King serves as Chief Marketing Officer of DataRobot, where he drives DataRobot’s brand and marketing strategy through trusted and impact-driven storytelling, and leads alliances and strategic partnerships. Prior to DataRobot, King held executive positions at Cisco, VMWare, Google, and Microsoft. He lives in San Francisco, CA.

Meet Nick King