AI has the potential to enhance many aspects of business transactions and human interactions. AI-powered chatbots are used to provide customer service around the clock. AI-powered healthcare systems are used to diagnose diseases and develop personalized treatment plans, while autonomous vehicles improve transportation safety and efficiency. Additionally, AI is used to automate routine tasks in the workplace, freeing up time for employees to focus on more creative and strategic work.
But what about AI that improves how organizations run, grow and optimize their operations?
DataRobot and its release of DataRobot AI Platform 9.0 allow customers to leverage value-driven AI, a unique and collaborative approach that helps businesses deliver measurable value from their AI investments. With the new and expanded platform capabilities, DataRobot is enhancing the key features and functionalities trusted by global organizations.
Innovations inside the DataRobot AI Platform include capabilities that facilitate:
- Rapid experimentation and value identification using Workbench, DataRobot’s new collaborative experimentation experience. Workbench, equipped with integrated managed Notebooks, supports users with code-first and no-code approaches and the full spectrum of data science capabilities.
- Reduced enterprise risk and barriers to production through architected guard rails — from bias mitigation, centralized model monitoring, to automated model compliance documentation of DataRobot and non-DataRobot models.
- Value (right from the outset) with AI accelerators and new AI services packages that provide customers with years of DataRobot’s AI expertise to jumpstart AI projects and results.
One example of a company utilizing DataRobot is Polaris.
Prior to implementing DataRobot, Polaris relied heavily on manual processes which, although successful in certain areas, proved to be limited in terms of scalability. With the company's rapid growth, the adoption of DataRobot became an essential component for expanding machine learning capabilities across business units. This has significantly increased the productivity of the existing team and allowed for the maximization of AI-generated value.
By accelerating Polaris' experimentation speed and streamlining the iterative process, the DataRobot AI Platform enables the team to effectively discover insights and communicate them to business stakeholders while ensuring sustained value throughout production.
“Since our founding, we have been 100% focused on helping enterprises realize measurable value from AI by offering an AI lifecycle platform designed to solve business problems, and the applied AI expertise to help customers envision what’s possible – and achieve it,” said Debanjan Saha, CEO of DataRobot.
The DataRobot AI Platform innovations come with a DataRobot and SAP (News - Alert) partnership, which helps enterprises leverage business data from SAP HANA Cloud and other third-party data sources to build custom ML models in DataRobot and embed them into SAP application stack.
DataRobot AI Platform Single-Tenant SaaS (News - Alert) is available on AWS, Google Cloud and Microsoft Azure. For on-premises and private cloud customers, DataRobot supports Red Hat OpenShift for faster installations and deployments that integrate with existing enterprise IT investments.
Edited by Alex Passett