With DataRobot AI Cloud, instead of spending all our time building models and taking the time to iterate through five or six combinations, we can now iterate through hundreds of models, and potentially thousands of predictive attributes, in minutes – far better and faster than ever before.
Though financial institutions are leveraging more data than ever, data is still underutilized – and there are a wealth of possibilities. That’s where Demyst comes in, helping the world’s leading financial institutions get data “out of the lab” and into production with its purpose-built external data deployment platform.
Demyst takes clients through the entire data deployment lifecycle, from data discovery, through initial testing and modeling, optimization, fine-tuning, and the productionalization of solutions – all to unlock innovation and drive business growth. Both data and models are equally important to the success of final predictive solutions.
As datasets get bigger and data sources more varied, complexity increases and work processes become more time-consuming.
Hundreds of Models in Minutes
The implementation of DataRobot AI Cloud, with its ability to generate hundreds of algorithmic-agnostic models in minutes, accelerated Demyst’s modeling capabilities.
“We could take a step back, and from a blank slate, find all the data we could and throw it into DataRobot’s platform and see what pops, what’s correlated, what’s truly predictive,” explained Julien Bonnier, Head of Product at Demyst
Prior to DataRobot, Demyst’s data services team spent hours structuring external data to input into powerful predictive models (e.g., random forest, neural networks).
DataRobot has revolutionized how we approach problem solving, both internally and with our clients.
“With the platform, instead of spending all our time building models and taking the time to iterate through five or six combinations, we can now iterate through hundreds of models, and potentially thousands of predictive attributes, in minutes – far better and faster than ever before,” Bonnier said.
Empowering Non-Data Scientists
The AI Cloud platform has encouraged a culture of predictive analytics and modeling across Demyst. In particular, members of the data services team became big proponents of DataRobot because it allowed them to work more efficiently on repetitive items and spend more time working on the interesting parts of data science.
By using the platform to automate and streamline the routine and repetitive aspects of data science, the overall productivity of Demyst’s data services team skyrocketed. And because of its simplicity and ease-of-use, even less-technical Demyst team members can now understand and contribute to machine learning projects.
“DataRobot AI Cloud makes data science accessible to everyone at Demyst,” Bonnier said. “We now have salespeople competing in Kaggle competitions to get a better feel for the software. They’re able to speak the language, upload the dataset, press one button, and get multiple results. This really gets them excited about data science.”
Focusing on Data Deployment
Now that Demyst has automated predictive analytics routines with the platform, the company can continue to focus on unlocking innovation and driving business growth for clients.
The platform makes everyone more efficient. We are able to do more with less. Perhaps most importantly, we can now grow our team in different directions and leave the building of models in DataRobot’s capable hands.