Large-scale, unstructured data preparation and handling functionality accelerates generative and predictive AI development and deployment

DataRobot, the provider of AI that makes business sense, today announced large and unstructured data preparation and handling functionality to accelerate generative and predictive AI development, empowering AI teams with faster time-to-model, higher-quality outputs, and built-in cost optimization.

“Many AI teams today lack the right tools to develop, deliver and govern AI applications that successfully meet business needs, and the gap between their needs and available solutions continues to widen," said Michael Schmidt, Chief Technology Officer, DataRobot. “Our new tools close this gap by streamlining data preparation, eliminating time-consuming processes, and enabling AI teams to collaborate and focus on the impactful work that drives results.”

New and enhanced functionality empowers AI teams to:

Accelerate AI-ready data prep.

• Automate data quality assessment, remediation, and healing: Model with raw data and skip manual data preparation with automated data quality reports, bias detection, and specialized feature engineering and techniques for time series, image data and tabular data.
• Automated relationship detection: Build training datasets without repetitive or complex coding using automated relationship detection to identify and join similar features across datasets, discover new features, and reduce complexity.

Generate higher-quality RAG outputs.

• Out-of-the-box generative AI-ready data: Automatically transform unstructured documents into generative AI-ready data with built-in optical character recognition (OCR).
• Faster and more accurate LLM responses: Build highly-performant vector databases to speed up data retrieval and improve response accuracy with advanced techniques such as indexing embeddings with metadata, semantically chunking text, enabling multiple retrievals for complex queries, and rewriting queries based on chat history.

Scale efficiently and optimize costs.

• Build highly accurate models at scale with industry-leading incremental learning: Process data in iterations and avoid overfitting on large datasets with incremental learning for all data types.
• Adapt to any workflow: Provide seamless connection to tools like the GPU-optimized NVIDIA RAPIDS AI libraries included in the NVIDIA AI Enterprise software platform.
• Rapidly scale deployment: Shorten development time and reduce iterations by bringing in NVIDIA NIM microservices, part of the NVIDIA AI Enterprise.

Justin Boitano, Vice President of Enterprise AI Software, NVIDIA: “Easy-to-use and scalable AI development solutions are essential for organizations to accelerate the transformation of business data into AI- powered applications. DataRobot’s integration with NVIDIA AI Enterprise and pre-configured NVIDIA NIM microservices enables more businesses to streamline development and simplify delivery of production-grade AI across the enterprise.”

Ray Fager, Chief Data and Analytics Officer, King's Hawaiian: “DataRobot enables us to redefine and streamline key business processes at King’s Hawaiian. We no longer need to wait for months to gain insights into price elasticity — we cut production time by over 50% with our AI models, and we now have confidence in the accuracy of the data. This means our sales teams can implement strategies three months earlier, providing the business with clear actions to fine-tune our promotion strategy and deliver measurable outcomes for our business.”

DataRobot also announced today generative AI applications and agents, and industry-first generative AI tooling. To learn more, read the blog “The DataRobot enterprise AI suite: Driving the next evolution of AI for business” and register for the webinars, “Infuse AI into your business: How to deliver the AI applications your end users need” and “Secure your AI outcomes: eliminate AI risks and scale with confidence.”

About DataRobot

DataRobot delivers AI that maximizes impact and minimizes business risk. Our AI applications and platform integrate into core business processes so teams can develop, deliver, and govern AI at scale. DataRobot empowers practitioners to deliver predictive and generative AI, and enables leaders to secure their AI assets. Organizations worldwide rely on DataRobot for AI that makes sense for their business — today and in the future. For more information, visit our website and connect with us on LinkedIn.

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