Today, competitive organizations have high demands for data science teams to deliver business impact. Can you meet and exceed those demands with your current tech stack? Can you manage teams across data science platforms? Can you easily work with AutoML AI platforms within your processes? If your answer to any of these questions is no, read on.
With Domino’s Enterprise MLOps platform you can say goodbye to backlogs and hello to proactively driving results.
“If you don’t have the right infrastructure - you’re lost - we really needed a ML platform. You need a version of code running, who deployed what, and freedom to choose what open source tools they want. They’re free to do what they need to do, and they never have questions about Domino - because they just get on with it. Like playing a piano, or a violin.”
Stig Pedersen, Senior Project Manager, Machine Learning at Topdanmark
Let’s face it, scaling data science is hard and that has serious implications. Productivity suffers. Models don’t get deployed. Outdated models make outdated predictions. In fact, a recent survey found that only 21% of businesses are gaining a major competitive advantage through the use of data and analytics tools across their enterprise. The problem? It’s not about finding the right data science tool… it’s really a matter of finding the right way to scale adoption of your data and analytics tools, to then elevate your competitive advantage.
There are three categories of data science challenges that get in the way of effective data science management:
Beating competition, driving unprecedented growth and finding opportunities in unforeseen places - while upending industries - will belong to the organizations that put models at the heart of their business.
Domino’s Enterprise MLOps platform - built for data science management at scale - is the change agent in your data science practice that will help you drive your transformation to a model-driven business. With Domino, leaders can finally spearhead pervasive deployment of models throughout their businesses and realize the benefits of data science at scale.
Domino differentiators for scaling data science management successfully:
Domino’s MLOps platform delivers a 542% return on investment and is favored by over 20% of the Fortune 100. Domino can save tens of millions of dollars in costs, and has unlocked research that’s generated hundreds of millions in revenue. Read more in Forrester’s Total Economic Impact of the Domino Enterprise MLOps Platform.