In an effort to meet the growing demand for generative AI solutions, Boston-based startup DataRobot is expanding its platform with new capabilities and services. The company aims to provide an open and end-to-end solution for teams to experiment, build, deploy, and monitor enterprise-grade AI assistants. With this update, DataRobot hopes to help organizations overcome common challenges and unlock the potential value of generative AI.
The Need for Speed
In today’s competitive landscape, enterprise companies are under pressure to leverage generative AI technology to drive business impact. According to Jay Schuren, Chief Customer Officer at DataRobot, there is a sense of urgency among AI leaders and data teams to get generative AI solutions into the hands of business users. The ability to move quickly in developing and deploying these solutions can provide a significant competitive advantage.
However, despite the desire to move fast, organizations often face roadblocks along the way. Many companies have already invested time and resources into developing generative AI prototypes but have yet to see tangible business value. Common challenges include starting with the wrong problem, being locked into specific ecosystems, difficulties in maintaining models and vector databases, overlooking the last-mile usage, and lacking trust in the outputs of generative AI applications.
DataRobot’s Solution
To address these challenges, DataRobot is enhancing its platform to offer a comprehensive solution for building and deploying generative AI solutions. The updated platform allows users to develop end-to-end solutions with minimal coding and fewer personas. Users can integrate large language models, vector databases, and prompting strategies of their choice with internal contextual data. This flexibility enables teams to experiment and determine the best components for their specific use case.
To ensure trust in the applications being developed, DataRobot provides operational and data drift metrics as well as specific generative AI metrics such as toxicity and truthfulness. These metrics help track the performance and adherence to the desired outcomes of generative AI models. Additionally, the platform enables users to define custom performance metrics to monitor use-case-specific requirements and control costs.
Streamlined Feedback Process
DataRobot also introduces a Streamlit Application Sandbox to streamline the feedback process and iteration on prototypes. This tool allows users to quickly prototype, build, and deploy applications/assistants to their business stakeholders. By facilitating smooth feedback loops, teams can accelerate the development process and ensure that the final solution meets the needs of the end-users.
Applied AI Services
In addition to the platform enhancements, DataRobot offers applied AI services focused on enabling users to leverage generative AI effectively. These services cover three areas: training, ideation and roadmapping, and a trust and compliance framework. Training helps leaders establish the necessary skills and knowledge to remain competitive in the realm of generative AI. Ideation and roadmapping support teams in transforming use case ideas into practical implementations. The trust and compliance framework ensures responsible generative AI development and compliance with regulations.
DataRobot offers these services bundled or separately, depending on the specific needs and goals of each customer. Some teams may require training and ideation support, while others may need end-to-end delivery work or trust/compliance frameworks. The company works closely with each customer to determine the most suitable offering for their requirements.
Getting Started
Organizations interested in utilizing DataRobot’s generative AI capabilities and services can begin their journey immediately. The platform provides templated recipes with best practices, which can be customized to leverage the components that work best for each use case. Several organizations, including Baptist Health South Florida and FordDirect, have already started testing the offerings before the official launch.
DataRobot’s updated platform with new generative AI capabilities and applied services aims to meet the growing demand for enterprise AI solutions. By addressing common challenges and providing an end-to-end solution, the company is committed to helping organizations unlock the true business value of generative AI. With the ability to move fast and deploy in production, companies can gain a competitive advantage in today’s fast-paced business environment.
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