Available to the public at no cost, Pathfinder allows individuals to discover and develop the best AI solutions unique to their industry and business challenges
August 11, 2020 – BOSTON – DataRobot, the leader in enterprise AI, today announced DataRobot Pathfinder, a public library of more than 100 AI use cases that provide the know-how to maximize success and impact based on DataRobot’s experience with thousands of real world applications of AI. DataRobot Pathfinder offers the most comprehensive library of AI use cases on the market, enabling individuals to discover the best application of AI for their unique business needs.
Identifying and deploying the right use cases is critical for businesses to get real value from AI, yet remains one of the biggest challenges to AI adoption. To help more individuals successfully deploy AI, Pathfinder offers insight into which use cases are commonly implemented across 14 industries to illustrate the variety of problems that AI can solve. For a number of high-value use cases, Pathfinder also provides detailed guides on how organizations can implement them from both a technical and business perspective.
Developed by DataRobot’s customer-facing data science team, Pathfinder is built on decades’ worth of academic and industry experience to help users select and deploy the best AI use cases. The public library makes it easy for users to identify the AI use case that best fits their needs by allowing them to filter by vertical, problem type, and value driver. These use cases include industry-agnostic applications of AI, such as forecasting demand, scoring new leads, and reducing customer churn, as well as industry-specific applications of AI, including reducing hospital readmissions, predicting insurance claims’ severity, and preventing anti-money laundering.
“We are hyper-focused on enabling massively successful and impactful applications of AI,” said Michael Schmidt, Chief Scientist, DataRobot. “DataRobot Pathfinder is meant to help organizations—whether they’re customers or not—deeply understand specific applications of AI for use cases in their industry, and the right steps to create incredible value and efficiency. There is real depth here that encodes our experience deploying thousands of real industry use-cases where AI creates profound impact, and we’re looking forward to hearing how others are able to leverage this to make their applications of AI come to life.”
The launch of Pathfinder closely follows the release of the Use Case Value Tracker, a new feature to DataRobot’s enterprise AI platform that was introduced in June 2020. With the Use Case Value Tracker, DataRobot customers have a central hub to manage and organize machine learning project assets around use cases. The feature makes it easy for users to understand the ROI of the predictions the platform makes, enabling them to prioritize the use cases that generate the most value.
DataRobot Pathfinder is available today. To learn more or browse the library, visit: pathfinder.datarobot.com.
DataRobot is the leader in enterprise AI, delivering trusted AI technology and enablement services to global enterprises competing in today’s Intelligence Revolution. DataRobot’s enterprise AI platform democratizes data science with end-to-end automation for building, deploying, and managing machine learning models. This platform maximizes business value by delivering AI at scale and continuously optimizing performance over time. The company’s proven combination of cutting-edge software and world-class AI implementation, training, and support services, empowers any organization – regardless of size, industry, or resources – to drive better business outcomes with AI.
With a singular focus on AI since its inception, DataRobot has a proven track record of delivering AI with ROI. DataRobot has offices across the globe and $431 million in funding from top-tier firms, including New Enterprise Associates, Sapphire Ventures, Meritech, and DFJ Growth. For more information, visit www.datarobot.com, and join the conversation on the DataRobot Community, Twitter, and LinkedIn.