New framework and set of capabilities for benchmarking and red teaming AI evaluation  May 31, 2024 — SINGAPORE — DataRobot, the enterprise AI platform leader, today announced the integration of…

Customertimes is a dynamic consultancy firm combining the capabilities of a Global Systems Integrator with the personalized attention of a boutique agency. With over 15 years of experience in enterprise…

Open. Flexible. Built to adapt to your team’s AI needs. DataRobot brings all your generative and predictive workflows together into one powerful platform. Quickly deliver AI that your business needs,,…

We’re thrilled to share that our customers have recognized DataRobot in the TrustRadius Top Rated Award in the following categories: Data science, Machine learning, Predictive analytics. Learn more

Learn why this new era of AI requires you to think differently about your AI strategies. Walk away with the insights and tools to navigate these challenges with confidence.

Our new comprehensive feature suite equips organizations to confidently deploy and govern GenAI applications while maintaining brand integrity and minimizing risk. Learn more.

Join our technology experts, existing customers, and partners at Databricks Data + AI Summit June 10-13th!

Achieve full visibility, confidence and performance in the deployment of your AI assets across production environments. Register now!

New release enables organizations to detect and prevent unexpected AI behaviors at-scale across AI assets, environments and teams  May 2, 2024 — BOSTON — DataRobot, the enterprise AI platform, today…

DataRobot Spring ‘24 Platform update. Deploy and Govern GenAI Solutions, create production-grade AI applications, observe and intervene in real time, and govern and optimize infrastructure

Deploy DataRobot via our managed SaaS environments. Available as Single Tenant SaaS, which is available on Google Cloud, AWS, Azure, or as Multi-Tenant SaaS on AWS.

Quickly prepare data and vector databases for AI using customization, automated techniques and native integrations to all major cloud data warehouses and lakes.

Leverage generative and predictive AI tools to quickly try new data sources, build generative AI solutions or experiment with multiple problem framings, test thousands of models, identify key drivers, and…

Try different generative and predictive components, seamlessly build applications, and translate generative AI and predictive models into business insights and actions.

Organize, deploy, and version all generative and predictive AI assets from one registry. Bring approval workflows and auditability to all models across all cloud environments, automate performance tests and documentation,…

Deploy your generative and predictive AI into custom applications or integrate them into your business tools and processes.

Enable advanced automated strategies to ensure the performance of all generative AI and predictive AI models in production with the DataRobot AI Platform.

Build generative AI solutions end-to-end with the DataRobot AI platform. Learn more about the only open solution that delivers on both your generative and predictive AI needs from end-to-end across…

Collect valuable insights that will allow you to continuously optimize your predictive and generative AI models with the DataRobot AI Platform.

End-to-end generative AI and predictive AI lifecycle management with model lineage and governance for AI development and deployment with DataRobot.

The Generative AI Advantage by Forrester. Discover the most impactful generative AI use cases

Let’s dive in and see how you can easily set up endpoints for models, explore and compare LLMs, and securely deploy them, all while enabling robust model monitoring and maintenance…

CDAO Germany brings together the DACH region's most senior leaders within data and analytics from a cross-industry setting for a combination of learning, networking and discussion around topics commonly faced…

Dive into the latest developments in data, analytics, and AI in Singapore with DataRobot at CDAO Singapore on 16-17 April.

DataRobot is a full AI lifecycle platform for generative and predictive AI with broad ecosystem interoperability and a team of AI experts to ensure success.

April 9, 2024 — BOSTON — DataRobot, the AI lifecycle platform, today announced new integrations and accelerators with Google’s Gemini models, enabling organizations to jumpstart AI solutions and deliver immediate…

DataRobot AI Platform on Google Cloud

At this meetup, we’ll explore current applications of AI across industries, presented by deep subject matter experts in Healthcare, FMCG, and Financial Services.

Combine generative and predictive AI to improve and expand sales forecasting insights, built with DataRobot and Google Cloud.

As we celebrate Women’s History Month, we caught up with DataRobot AI Legends and asked them questions about confidence, resiliency, and career.

Learn, connect, and grow with 3800+ data scientists and speakers, both in-person and virtually, at ODSC East 2024.

Join our technology experts, existing customers, and partners at the Snowflake Summit, June 3-6, 2024.

March 18, 2024 – BOSTON, MA – DataRobot, the leading AI platform at the forefront of value-driven AI innovation, today announced that its enterprise-ready AI solutions will be supercharged with…

Bring GPU-accelerated AI to the enterprise with NVIDIA and DataRobot.

The European Parliament’s vote of support for the EU AI Act marks a watershed in the rapid evolution of AI technology. The EU AI Act establishes the regulatory standard for…

Discover how the DataRobot AI Platform empowers business leaders and AI professionals to maintain compliance, ensure accurate outputs, control costs, and mitigate a broad spectrum of AI risks.

This webinar will include the foundational steps you need to take, key observations and tips from industry experts, and tactical steps you can take to help accelerate your generative AI…

Join this webinar with our SI partner KUNGFU.AI as we showcase how we’re teaming up to fast-track the creation of tailor-made GenAI solutions.

When building a RAG application we often need to choose a vector embedding model, a critical component of many generative AI applications. Learn mor

We recently launched the DataRobot Generative AI Catalyst Program to help accelerate the generative AI journey and help customers like you build priority use cases.

By unifying AI MLOps, LLMOps, and AI observability, DataRobot gives you an end-to-end view of your entire AI landscape with a single mode of AI governance for all your predictive…

Join DataRobot at Data Festival Munich to discover the pros and cons of LLMs and how guard models can significantly reduce risks associated with live generative AI applications. Learn how…

As Black History Month comes to a close, it's essential to take a moment to reflect on this year's theme, "Black Art - The Infusion of African, Caribbean, and Black…

This AI Accelerator demonstrates how deep learning model trained and deployed with DataRobot platform can be used for object detection on the video stream (detection if person in front of…

This AI Accelerator demonstrates various ways for generating prediction intervals for any DataRobot model. The methods presented here are rooted in the area of conformal inference (also known as conformal…

In this notebook, we implement a very simple model based on the Q-learning algorithm. This notebook is intended to show a basic form of RL that doesn't require a deep…

t-SNE (t-Distributed Stochastic Neighbor Embedding) is a powerful technique for dimensionality reduction that can effectively visualize high-dimensional data in a lower-dimensional space.

As illustrated below, you will use the orchestration notebook to design and run the experiment notebook, with permutations of parameters handled automatically. At the end of the experiments, copies of…

This notebook outlines a repeatable framework for end-to-end production machine learning. It includes time-aware feature engineering across multiple tables, training dataset creation, model development, and production deployment.

This accelerator shares several Python functions which can take the DataRobot insights - specifically model error, feature effects (partial dependence), and feature importance (Shap or permutation-based) and bring them together…

This AI Accelerator demonstrates how one can leverage DataRobot's python client to extract predictions, compute custom metrics, and sort their DataRobot models accordingly.

Event Name January 6, 2022 (Thursday) at 6:00 pm EST, English Book 1:1 Meeting About Event Agenda Customers/Partners Resources Book 1:1 Meeting Discover DataRobot at Event name Description. Lorem ipsum…

This accelerator shows a simple example of how to use the Python threading library to build a model factory.

Our primary goal with this accelerator is to develop a powerful predictive model that utilizes historical customer and transactional data, enabling us to identify suspicious activities and generate crucial Suspicious…

This accelerator shows how to identify clients who are likely to miss appointments ("no-shows") and take action to prevent that from happening.

Dynamically enrich your current training datasets with information applicable to SouthAfrica Request a Demo Make use of geographic and time-based data relevant to South Africa By enrichingthe current data with…

This notebook will explore how to use historical user purchase data in order to create a recommendation model which will attempt to guess which products out of a basket of…

This demand forecasting what-if app allows users to adjust certain known in advance variable values to see how changes in those factors might affect the forecasted demand.

This accelerator will teach the problem framing and data management steps required before modelling begins. We will use two examples to illustrate concepts: a B2C retail example, and a B2B…

This second accelerator of a three-part series on demand forecasting provides the building blocks for cold start modeling workflow on series with limited or no history. This notebook provides a…

In this first installment of a three-part series on demand forecasting, this accelerator provides the building blocks for a time-series experimentation and production workflow.

This notebook illustrates an end-to-end FP&A workflow in DataRobot. Time series forecasting in DataRobot has a huge suite of tools and approaches to handle highly complex multiseries problems.

This accelerator aims to assist DataRobot trial users by providing a guided walkthough of the trial experience. DataRobot suggests that you complete the Flight Delays sample use case in the…

This notebook shows how to build an app presenting Datarobot predictions and explanation for your business stakeholders.

This accelerator shows how to use Predictive AI models in tandem with Generative AI models and overcome the limitation of guardrails around automating summarization/segmentation of sentiment text. In a nutshell,…

This notebook aims to provide an example of how generative AI models like GPT-3 can be used to augment predictions and provide customer friendly subject matter expert responses.

Meet the DataRobot leadership team of visionaries, data scientists, and seasoned veterans who are changing the face of technology.

DataRobot serves as founding member to help advance the development and deployment of safe, trustworthy AI under new U.S. government safety institute FEBRUARY 13, 2024 – BOSTON, MA – Today,…

Join us at GTC 2024 to learn how DataRobot and NVIDIA can accelerate your path to AI value with the hardware and software stack built for AI.

There are six common roadblocks to proving business value with generative AI — and we’ll show you how to steer clear of each one.

Use Object Detection techniques to quickly identify and locate product flaws.

Guiding and accelerating the implementation of tailor-made GenAI solutions.

This accelerator shows how you can easily enable observability in your AWS Bedrock-based Generative AI Solutions with the DataRobot LLMOps feature tools.

This accelerator shows how users can quickly and seamlessly enable LLMOps or Observability in their Anthropic Claude-based generative AI solutions without the need of code refactoring.

This accelerator shows how users can quickly and seamlessly enable LLMOps or Observability in their Azure OpenAI-based generative AI solutions without the need of code refactoring.

This accelerator shows how users can quickly and seamlessly enable LLMOps or Observability in their HuggingFace-based generative AI solutions without the need of code refactoring.

This accelerator shows how users can quickly and seamlessly enable LLMOps or Observability in their PaLM 2-based generative AI solutions without the need of code refactoring.

Just in Time Retrieval is a great approach to use when you need context aware answers for arbitrary documents. This acclerator shows how to build a deployment that accepts an…

This accelerator shows how users can quickly and seamlessly enable LLMOPs or Observability in their existing LLMChain-based generative AI solutions without the need of code refactoring.

This AI Accelerator shows how to extract cluster insights from DataRobot models, use prompt engineering to label clusters and then rename the clusters in the DataRobot project.

With DataRobot, we will show how to use Predictive Modeling to identify trusted research and then build a knowledge base for the conversational agent using the DataRobot Generative AI offering.

Build, govern, and operate any generative or predictive AI application seamlessly and align your AI initiatives with organizational goals.

Join us at Gartner Data & Analytics Summit 2024, UK to discover the latest expert advice, network with 4,000+ peers and vet new technologies at our exhibitor showcase.

DataRobot Introduces Catalyst Program to Help Organizations Accelerate Generative AI Into Production New service offering delivers a value-driven generative AI playbook with technical training, roadmapping workshops and execution support  JANUARY…

The dawn of a new year presents us with the opportunity to set intentions that go beyond personal aspirations—this year, let's make it a collective commitment to foster Diversity, Equity,…

Join this webinar to learn how this new solution will deliver enterprise-grade observability for both predictive Al and generative Al, help optimize and scale AI deployments, and accelerate business value for…

Discover how organizations can leverage a generative AI platform to start building a comprehensive generative AI strategy. Learn how this cutting-edge technology can be effectively implemented to create tangible business…

If you’re just getting started with AI, or scaling your initiatives throughout your organization, DataRobot will help you unlock every step in the journey.

In this webinar, Justin Swansburg, VP Applied AI Experts, and Josh Geron, AI Success Director, share real-world insights on the obstacles organizations face when implementing and driving real value from…

Gain access to the world-class DataRobot generative AI platform, deep technical expertise, and real-world customer experience of our applied generative AI experts to start driving real-world value with generative AI…

Data Kinetic specializes in Applied AI mission critical industry outcomes. We offer cold-start models that run privately in your environment, powered by DataRobot as well as delivery and strategic services…

Transform credit decisions with Evolve AI Labs and DataRobot. Our advanced scorecards, driven by cutting-edge machine learning technologies, guarantee precise borrower assessments, minimal default risk, and seamless compliance. Benefit from…

Vector databases each have their pros and cons - no one will be right for all of your organization's generative AI use cases. Learn more.

This blog post aims to shed light on the recent NAIAC recommendation and delineate how DataRobot customers can proactively leverage the platform to align their AI adaption with this recommendation.