11 Benefits of MLOps in 2025 based on 100 case studies

Harmoney, a marketplace lender in Australasia's personal loan market, uses DataRobot to automate the development and deployment of machine learning models. By using machine learning, Harmoney has improved the efficiency of credit applications, reduced the number of questions asked to borrowers, and created more accurate risk assessments. This has resulted in better value for borrowers, low default risk for lenders, and increased market share for Harmoney. Read More

Lenovo Brazil uses DataRobot to predict sell-out volume among retailers, improving supply and demand balance. The automated machine learning platform has helped Lenovo make proactive and precise decisions, resulting in increased inventory levels and meeting customer demand. DataRobot has also enabled Lenovo to involve more stakeholders in machine learning initiatives and has plans for further projects beyond sell-out volume prediction. Read More

Data Scientist Nathan Patrick Taylor used DataRobot to improve healthcare analytics at Symphony Post Acute Network. With DataRobot, Nathan was able to build and deploy highly accurate machine learning models in a fraction of the time, driving a more ambitious predictive analytics agenda. This resulted in more accurate results, cost savings, and revenue generation. Read More

US Foods, a food service distributor, used Snowflake and DataRobot to analyze transactions from 300,000 customers. By leveraging a cloud data platform and predictive analytics, US Foods gained data-driven insights, improved reporting efficiency, and reduced customer churn rate. The integration of Snowflake and DataRobot provided a single source of truth, enhanced collaboration, and cost savings. Read More

Euskaltel, a telecommunications company in Spain, used DataRobot AI Cloud to optimize offers for prospects and customers. They increased revenue, reduced churn, and rolled out more marketing initiatives without adding staff. The platform helped them retain customers, reduce payment defaults, and identify cross-selling opportunities. Read More

Turo, the world's largest car-sharing marketplace, uses DataRobot's AI Cloud Platform to optimize pricing, risk, and marketing. With AI insights, Turo achieves 80% of the performance with just 10% of the effort, reducing behavioral risk and fraud costs. The platform empowers Turo's team to focus on strategic data science applications, improving the overall experience for hosts and guests. Read More

Santéclair, a subsidiary of several supplementary health insurance companies, used Dataiku's solution to develop a fraud detection system. By leveraging big data and advanced machine learning algorithms, they were able to target actual fraud cases three times more effectively, saving their customers money and improving efficiency. Read More

Marlette Funding, a US-based financial services company, improved their fraud detection capacities by 10% by switching to a machine learning based model using Dataiku. The company's data science team collaborated with the fraud operations team to create a best-in-class fraud detection model. The deployment to production was made easier with one-click deployment and Dataiku's features for data blending, manipulation, and feature engineering. Read More

Skillup, a French company in the professional services industry, uses Valohai solution for machine learning to build and maintain a marketplace for professional trainings. They utilize web scraping and machine learning models to keep the marketplace up to date with the lowest possible cost. Valohai helps them with version control, sharing of results, and scalability, resulting in cost savings and enhanced collaboration. Read More

Nyris, a German IT/tech company, is developing a high-performance visual search engine that understands the content of an image. They use Valohai to efficiently train their machine vision models and manage different experiments. Nyris' team focuses on improving models rather than infrastructure management, thanks to Valohai's benefits such as access to a variable number of machines, compatibility with major cloud providers, and automatic management and versioning of experiments. Read More

EyeOn, a management consulting company based in the Netherlands, has shifted their data processes to keep up with the competitive and AI-driven world. They faced challenges with data quality and scalability, which led them to adopt Dataiku as their centralized tool. With Dataiku, they were able to shorten onboarding time, develop standard project templates, and improve data quality. EyeOn focuses on using data to make better decisions and drive business outcomes. Read More

Aviva, the UK's largest multi-line insurer, built a Customer Data Science Team using Dataiku to leverage data and artificial intelligence for fraud detection. The team focuses on good data, customer-centric projects, proper tooling, agility, and staying connected with the business. Dataiku has made the team 5x more efficient in developing data projects, providing a collaborative platform and increasing overall effectiveness. Read More

Webhelp, a professional services company based in France, developed the People First platform in collaboration with Gobeyond Partners and powered by Dataiku. The platform leverages machine learning to reduce staff attrition rates by 40% through care conversations. The project has been successful, with positive feedback from managers and employees. The People First model will be expanded globally and additional features will be integrated. Read More

Improving customer relations and service through the use of NLP technology, Malakoff Humanis collaborated with Dataiku on two projects. The first project focused on classifying customer claims through NLP algorithms, while the second project analyzed the content and sentiment of customer calls to improve telephone assistance. The projects resulted in improved management of telephone assistance, shorter calls, and improved customer satisfaction. Read More

ALMA Observatory in Chile has partnered with Dataiku to create a modern data science architecture, enabling advanced analytics and data science to improve operations efficiency and handle large scientific data sets. This collaboration has led to improved efficiency, decreased redundancies, and a shift towards a data-driven culture at the observatory. Read More

Seven West Media partnered with Cloudera and Contexti to deploy an advanced big data solution for audience engagement. The solution, running on Amazon Web Services, provided deeper insights into viewer behavior and personalized the viewer experience. It resulted in increased user engagement and improved audience metrics during the coverage of the 2016 Rio Olympic Games. Read More

IMS Health has chosen Cloudera Enterprise to support its Big Data Factory, a cloud-based platform that transforms data into intelligence for life sciences and healthcare clients. The collaboration with Cloudera will accelerate and enhance data acquisition, processing, and warehousing, enabling IMS Health to provide more comprehensive insights and drive healthcare performance. Read More

Globe Telecom, a telecommunications company based in the Philippines, implemented Cloudera's modern data platform to enhance customers' mobile experiences and deliver relevant advertising. With the new analytical environment, Globe Telecom achieved previously impossible customer segmentation and maintained a competitive edge in the industry. The company experienced significant mobile data volume growth and successfully managed and interpreted large amounts of data. Read More

comparethemarket.com, a leading price comparison website in the UK, centralized its customer data using Cloudera's enterprise data hub (EDH). By leveraging Hadoop software, the company aimed to provide a more personalized user experience and improve customer engagement. With Cloudera's EDH, comparethemarket.com can analyze and utilize vast amounts of data across multiple channels in near real-time, resulting in a more immersive and relevant customer experience. Read More