"Domino helps us deliver more value to the business by putting more powerful tools in the hands of our analysts."
“We’ve implemented a multi-cloud strategy, along with Domino’s Enterprise MLOps platform, to increase our model velocity so we can address customer needs in a quarter of the time it used to take us.”
"You should be able to use the same service design, service transition, all the governance processes. Model monitoring is the key different thing that you have to put in place."
"We've been able to bring models to production and automate more than 75,000 claims with only a few expert data scientists."
“The path that we’re taking at Gap is to leverage third parties like Domino to help us quickly solve problems that we couldn’t solve on our own.”
"Domino on Kubernetes gives our data science team the flexibility we need while offering peace of mind to our partners in IT. We can now run Domino across diverse infrastructure, including both on-premises and cloud-based environments, while also plugging into existing monitoring, logging, and enterprise security tools that our IT team knows and trusts. It's a big step forward on the path to make Data Science a first-class citizen that's aligned with Enterprise IT."
"Our investment in Domino has led to a return of around 10x in terms of efficiency for our data science community."
“We’re streamlining the development and deployment of deep learning models to mitigate supply chain risk, analyze manufacturing defects, predict maintenance needs, and more. Domino makes it easy for our data scientists to rapidly spin up NVIDIA GPUs so we can support complex use cases like training deep neural networks.”
“We’ve announced a validated design in our Ready Solutions for AI portfolio using Domino’s new Kubernetes-based compute grid on top of Dell infrastructure to serve customers’ unique data science needs.”
"We run models in production where data drift critically impacts the predictions of those models. We need to know what has drifted and by how much. In a data driven organization, the chances of knowing every change to the data, by the business or others in the organization, are practically zero. Having an automated tool to monitor this drift against the training data is very important. Domino Model Monitor will save us significant time previously spent on maintenance and investigation."
“We built a flexible platform that really allows us to iterate through different model training, and do that also in a distributed fashion.”
“We are on track to deliver an estimated €2 million in incremental profit. This would not be possible without Domino to help us accelerate the work.”
"Data drift can have a critical impact on predictions and ultimately, our business. Domino Model Monitor saves us significant time previously spent on maintenance and investigation, and enables us to monitor model performance in real time and compare it to our expectations."
“Domino and Snowflake are critical to the future of our business. They allow new use cases to keep flowing, so we can empower individuals to manage their health better before they become patients.”
"We can now spend more time on research and innovation, which enables us to serve more clients and provide more insights."