Closing the confidence gap to maximize value from AI

Businesses are struggling to find the right tools to maximize their technology investments. Leading AI technology company DataRobot is helping to fill the gaps in their AI toolkit.

As enterprises work to keep up with the AI revolution, the demand for smarter, more efficient AI solutions is greater than ever. Yet, many companies still struggle to connect their AI ambitions to actual business results. Today, two-thirds of AI teams say they lack the necessary tools to achieve their business objectives, and 71% of AI practitioners aren’t confident in the solutions they have.

“Despite unprecedented AI innovation and billions invested in AI tools and infrastructure, businesses continue to struggle with consistent outcomes and fail to realize returns that justify the scale of their investments,” says Debanjan Saha, CEO of DataRobot, a leading AI technology company. “To overcome this obstacle, they don’t need to have deep AI expertise; they need AI solutions that are designed to meet their unique needs.”

Creating business value with AI has been the primary mission for DataRobot since the early days of the AI boom. Founded in 2012, the company has devoted its efforts to addressing some of the most common hurdles businesses have with generative AI adoption, such as verifying the authenticity of data, protecting proprietary company data, and monitoring the performance and reliability of new models. Trusted by more than 1,000 organizations worldwide—including BCG, Boston Children’s Hospital, and the U.S. Army—DataRobot has played a crucial role in ramping up effective AI integration across industries, from banking and finance to health care and the public sector.

“Leaders today are often stuck choosing between two flawed options: building AI from the ground up or purchasing a point solution that falls short of meeting their needs,” says Saha. “DataRobot is changing how organizations approach and adopt AI, empowering teams to achieve outcomes that truly matter, with AI that works where and how they need it.” 

DataRobot’s enterprise AI suite is a comprehensive solution made up of customizable AI applications built on a flexible platform. To help organizations tackle multiple use cases with confidence, DataRobot allows teams to apply the AI techniques that align with specific business goals, whether it’s agentic flows, predictive insights, or retrieval-augmented generation. By providing a unified environment, DataRobot ensures that teams can move efficiently from development to deployment, fostering collaboration and building trust in the process. These solutions and more have helped organizations shave years off AI research and development phases and build the complex internal workflows needed to deploy AI at scale with high impact and minimal risk.

DataRobot’s efforts have earned several awards for robust governance, rapid deployment, and cutting-edge innovation, the latest being a placement on the Fortune 2024 Future 50 list.

To continue helping companies confidently and effectively use AI, DataRobot is committed to delivering AI that addresses critical enterprise needs. “Organizations worldwide rely on DataRobot for AI that makes sense for their businesses,” says Saha. “We’re going to keep building tools and services that help data scientists, AI developers, and machine learning engineers focus on what they do best—driving business value.”