On-Demand Recordings

In this forward-looking session, learn how DataRobot is helping organizations generate more predictable and reliable forecasts and get a sneak peek at the new features that will give you the edge in a fierce, data-driven marketplace. You’ll also hear how our customers unleashed unimaginable growth when they stopped simply experimenting with AI and embraced the power of enterprise AI for their business.

Hear how they overcame their doubts and invested in enterprise AI—and see how that leap of faith supercharged their ROI. They’ll also share some hard-learned truths about what worked (and what didn’t) and give you advice on introducing AI to your organization.

Do you trust your AI? As businesses increasingly rely on AI to make predictions—sometimes with life or death outcomes—it’s essential that those forecasts are accurate and credible. And there are many ways an AI system can go wrong: inaccuracy, overconfidence, bias, and privacy concerns.

A revolution is coming to healthcare. The goal is to make health and wellness accessible to everyone—and many believe the first step is to give patients better access to their data. But access alone is not enough to bring about meaningful change.

With the rapid rise of AI, companies are looking for ways to apply these new technologies for social good. That’s why DataRobot created the AI for Good program. We’ve assembled an all-star panel of data scientists, nonprofit leaders, and experts in Trusted AI to discuss the role of AI in the nonprofit sector, the challenges nonprofits face when leveraging AI, and their experience with the AI for Good program.

We’ve assembled an all-star panel of seasoned industry leaders to share their insights on how to develop a coherent AI strategy that improves sales and customer satisfaction. It’s a must-see session for any business leader or product manager seeking AI success.

We’ve asked one of our customers to walk you through a case study that illustrates how real-world events like Covid-19 can disrupt your data and how monitoring data drift provides an early warning system that your models may need attention.

With an all-star team of dedicated data scientists, engineers, and analysts, Adecco UK uses AI to not only place candidates but also mitigate direct and indirect bias in the recruitment process.

You’ll learn the basics of automated model deployment, management, and monitoring and discover how our built-in guardrails prevent many machine learning errors. We’ll also give you tips on how to spot problems with your AI project and show you where to find solutions.

Introducing No-Code AI Apps, DataRobot’s intuitive platform that lets non-technical users develop AI Apps. In this demonstration, we’ll build an app live to solve a problem that’s familiar to any business dependent on a supply chain—handling late shipments.

Are you struggling to find AI success? We’ve invited some of our customers to share their secrets to building a valuable AI-driven enterprise. Hear practical advice on what to consider before starting any machine learning project and how to successfully deploy and manage AI at your organization.

When creating a model, data scientists evaluate many approaches to find the best solution for their AI challenges. But this rigorous analysis often stops after model deployment. Unexpected conditions can degrade performance and issues can arise when a model works with live data from an external system.

In this session, we’ll investigate the root cause of bias in machine learning and present DataRobot’s framework for implementing more trustworthy AI. You’ll come away with a greater awareness of how bias--both explicit and implicit--affects your organization and concrete plan to address it.

In this session, we’ll focus on how to compose a system that's under your control without having to reinvent the wheel for every new initiative. You’ll learn how to solve more complex problems with less code overall and change the way you overcome an obstacle.

Demand forecasting with DataRobot’s Automated Time Series solves these problems and more. This session is essential for anyone seeking to create reliable, data-driven insights for a post-pandemic world.

In this session, we’ll show you how to use DataRobot’s intuitive tools to standardize model monitoring and management, automate time-consuming tasks, and improve collaboration between data science and IT departments.

Organizations are investing heavily into data science to increase business value from their rapidly expanding data. But when model insights are not integrated into existing business processes, ROI can suffer.

The National Health Service (NHS) is the primary public health service of the United Kingdom. Working with DataRobot has enabled the NHS to use advanced AI to improve both their operations and the lives of their patients. Physicians, surgeons, nursing staff, and hospital administrators at all levels of technical expertise now have access to machine learning tools.

How will you find AI success? Invite a colleague from another team to partner with you. Are you a business analyst? Grab your friend from the data science team. Are you a data scientist? Pull up a chair beside the person who relies on your models.

You’ll learn five key questions to ask before starting any machine learning project and learn best practices for developing and deploying models. You’ll come away with a greater understanding of how to create AI projects that maximize ROI.