33 no code AI Case Studies from 34 Enterprises by 2025

• -Sentiment analysis

• -Time saving

Social Status, a social media analytics platform, implemented sentiment analysis fast and efficiently with MonkeyLearn. They used MonkeyLearn's technology to automate the process of reporting on social comments, saving hours of manual work. The integration was seamless and MonkeyLearn's models analyzed over 2.5 million comments, providing valuable insights for marketers. Social Status found MonkeyLearn to be critical to their success and traction with users. Read More

• -Sentiment analysis

• -Time saving

Promoter.io added keyword analysis to save their users time processing NPS feedback. They used MonkeyLearn's Keyword Extractor model to extract relevant keywords from unstructured text responses, providing deeper insights to their customers and demonstrating the power of NPS surveys. Read More

• -Time series analysis

• -Increased visibility
• -Time saving

Raik-Ingo Lehr, a process manager at BLG Logistics in Germany, used DataRobot to improve weekly staffing predictions for their logistics center. By leveraging machine learning and time series analysis, Raik was able to achieve 3-5% more accurate staffing predictions, leading to improved ROI and employee satisfaction. Read More

• -Predictive modeling
• -Report automation
• -Time series analysis

• -Cost saving
• -Increased visibility
• -Time saving

CVS Health utilized augmented intelligence to efficiently administer over 60 million vaccines nationwide during the pandemic, ensuring effective testing and vaccine rollout. Read More

• -Predictive modeling
• -Time series analysis

• -Increased visibility
• -Time saving

MinterEllison, a multinational law and professional services firm, implemented DataRobot's AI Cloud Platform to gain predictive insights and improve decision-making. By using machine learning, the firm was able to reduce risks and take an incremental agile approach to understanding performance and opportunities. The adoption of AI and machine learning resulted in easy production of predictive models around performance measures, leading to improved business performance and decision-making. Read More

• -Cost saving
• -Increased visibility
• -Time saving

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, enhancing the overall guest and host experience. Read More

• -Predictive modeling
• -Report automation

• -Time saving
• -Scalability

Matmut, a major French insurance company, automated its manual predictive analytics process with DataRobot AI Cloud, resulting in a three times productivity gain. The company applied the solution to various business challenges, achieving greater collaboration and efficiency across functions. Read More

• -Fraud detection
• -Predictive modeling

• -Cost saving
• -Time saving

Valley Bank reduced anti-money laundering false positive alerts by 22% using DataRobot AI Cloud. The solution automated modeling for the bank's AML team, resulting in a 22% reduction in total alert volume and a 3% increase in alerts escalating to case. The bank was able to create new models or retrain models in a day, compared to weeks, and saved approximately 22% in total alert volume every month. Read More

• -Predictive modeling
• -Report automation

• -Time saving
• -Scalability
• -Cost saving

FOXO Technologies uses DataRobot's AI Cloud Platform to automate the creation of thousands of predictive models based on DNA methylation probes. This helps revolutionize the insurance industry by improving underwriting and mortality prediction while eliminating the need for invasive blood testing. In just a year, FOXO created over 119,800 models, saving time and money while attracting and retaining top data science talent. Read More

• -Predictive modeling
• -Fraud detection

• -Scalability
• -Time saving

Carbon, a fintech company based in Nigeria, used DataRobot's AI and machine learning technology to build credit risk models for the underbanked population. By leveraging data science, Carbon was able to offer consumer loans and credit solutions to millions of Nigerians. DataRobot's algorithmic engine powered Carbon's mobile app, providing credit ratings and adjusting lending terms based on risk. With DataRobot, Carbon increased the speed, volume, and accuracy of their credit risk models, leading to their success in the African financial market. Read More

• -Predictive modeling
• -Report automation

• -Scalability
• -Enhanced collaboration

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

• -Predictive modeling

• -Increased visibility
• -Time saving

Anacostia Riverkeeper partnered with DataRobot to develop a system using AI to predict water quality in the Anacostia River. By analyzing data from sensors and making frequent predictions, the system helps provide better oversight and monitoring of water quality. The results have been shared with stakeholders in the water quality field, potentially creating opportunities to replicate the project in other waterways. Read More

• -Predictive modeling

• -Increased visibility
• -Time saving

Kiva, a nonprofit organization, partnered with DataRobot to develop a machine learning solution that promotes loans at risk of going unfunded. By reordering loans daily based on predictive models, Kiva increased visibility for loans in underserved regions. The solution aims to increase funding rates and reduce barriers to lending. Read More

• -Predictive modeling
• -Time series analysis

• -Increased visibility
• -Time saving

UCSF-BASIC uses DataRobot to predict the outcomes of patients with traumatic spinal cord injuries. The TRACK-SCI team partnered with DataRobot to improve blood pressure management guidelines during surgery for SCI patients. Using patient data and predictive analytics from DataRobot, the team discovered that time spent in high blood pressure regimes has a significant impact on a patient's likelihood to improve. This insight will be used to develop guidelines for patient care. Read More

• -Predictive modeling
• -Report automation
• -Time series analysis

• -Increased visibility
• -Time saving
• -Enhanced collaboration

The Adecco Group, a talent advisory and solutions company, used DataRobot to revolutionize the recruitment industry and improve the candidate experience. By leveraging AI and machine learning, they were able to reduce time and speed to fill open positions, improve the hiring attraction pipeline, and increase productivity for both data scientists and recruiters. The project resulted in a significant reduction in the number of CVs to review and provided new insights for better decision making. Read More

• -Fraud detection

• -Time saving
• -Increased visibility
• -Reduced rework

Consensus Corporation, a subsidiary of Target, simplified data wrangling for machine learning in order to address fraudulent customer activity. By using Trifacta and DataRobot solutions, they were able to streamline data preparation and achieve a 24% improvement in fraud detection, a 55% decrease in False Positives, and a 19% gain in overall financial performance. Read More

• -Predictive modeling

• -Increased visibility
• -Time saving
• -Enhanced collaboration

The National Association of REALTORS® uses DataRobot to enhance outcomes for its members by building and deploying predictive models. They have improved productivity and efficiency by centralizing their data science team and utilizing DataRobot's AI platform. The team has worked on various use cases including predicting member churn, identifying members likely to achieve designations and certifications, and determining members' interest in commercial real estate. Read More

• -Predictive modeling
• -Report automation
• -Sentiment analysis

• -Time saving
• -Increased visibility
• -Enhanced collaboration

Beacon Street Services, a financial services company, used Snowflake and DataRobot to unlock the value of their data. By integrating Snowflake as the hub for all their data and leveraging DataRobot's AI platform, they were able to build models quickly and automatically, resulting in a 10% lift in their marketing campaigns. The seamless integration between Snowflake, DataRobot, and their business intelligence platforms allowed for efficient data processing and visualization, leading to significant business impact and additional sales. Read More

• -Predictive modeling

• -Time saving
• -Increased visibility

Data Scientist Nathan Patrick Taylor used DataRobot to improve healthcare analytics at Symphony Post Acute Network, driving a more ambitious predictive analytics agenda. With DataRobot, Nathan delivers more accurate results, drives cost savings, and generates revenue while offering transparency. Read More

• -Predictive modeling
• -Time series analysis

• -Increased visibility
• -Time saving

Ascendas-Singbridge Group, a real estate company based in Singapore, used DataRobot's automated machine learning platform to predict carpark capacity at their properties. By accurately forecasting carpark usage, they were able to optimize capacity and increase revenue by 20%. DataRobot's Time Series functionality made the modeling process easier and provided detailed insights into car park demand. Read More

• -Predictive modeling
• -Report automation

• -Time saving
• -Increased visibility

Domestic & General (D&G), an insurance company based in the United Kingdom, used DataRobot's automated machine learning platform to optimize pricing for their customers. By automating the process of building pricing models, D&G was able to deliver personalized and optimized price predictions for each customer. This resulted in significant uplifts from pricing optimization, increasing revenue from 1.5% to close to 4%. D&G plans to expand the use of machine learning to enhance other areas of their business and improve customer satisfaction. Read More

• -Predictive modeling
• -Report automation
• -Time series analysis

• -Increased visibility
• -Time saving
• -Enhanced collaboration

The Philadelphia 76ers, a professional basketball team, used DataRobot's machine learning solution to improve their modeling process for season ticket renewals. By building predictive models, they were able to optimize their sales renewal process and prioritize their calls to retain customers. The success of this project has led to plans of expanding machine learning capabilities to other parts of the business, such as lead scoring and targeted offers for fans. Read More

• -Predictive modeling
• -Report automation

• -Time saving
• -Increased visibility

Lenovo Brazil used DataRobot to predict sell-out volume among their retailers, improving supply and demand balance. By automating the machine learning process, Lenovo Brazil achieved faster and more accurate predictions, leading to proactive and precise decision-making. The use of DataRobot resulted in increased inventory levels, better marketing investments, and improved overall business knowledge. Lenovo Brazil plans to expand their machine learning initiatives beyond sell-out volume prediction. Read More

• -Predictive modeling

• -Time saving
• -Increased visibility

Evariant, a healthcare provider, used DataRobot's automated machine learning solution to speed up their predictive analytics process. By automating and semi-automating the predictive analytic processes, Evariant was able to generate thousands of validated predictive models, significantly increasing their output. This allowed them to better utilize resources, improve client involvement, and optimize marketing efforts, leading to increased ROI. Read More

• -Credit appraisal

• -Predictive modeling
• -Fraud detection

• -Time saving
• -Increased visibility

Avant, a leading online lending platform, used DataRobot's Managed AI Cloud solution to democratize data science and improve their loan decision-making process. By leveraging machine learning, Avant's models and underwriting process became more accurate and aligned with consumer behavior. DataRobot's platform allowed Avant's data scientists to focus on valuable long-term development work, evaluate new data sets, and easily integrate models into production. This resulted in cost savings, increased visibility, and time savings for Avant. Read More

• -Predictive modeling

• -Cost saving
• -Time saving

DonorBureau, a professional services company in the United States, used DataRobot's predictive analytics solution to improve the efficiency of their fundraising campaigns. By automating the predictive modeling process, DonorBureau achieved a 10% improvement in accuracy, reduced their total cost of ownership, and saved time. The company specializes in providing modeling and segmentation services to nonprofits and fundraising organizations, helping them increase their net income and maximize their return on investment. Read More

• -Predictive modeling

• -Time saving
• -Enhanced collaboration

Trupanion, an insurance company for cats and dogs, increased productivity by 10X with DataRobot. They were able to build models faster, optimize business processes, prevent customer churn, and gain new insights for strategic decision-making. DataRobot provided an intuitive and easy-to-use platform that allowed Trupanion to deliver more models with higher accuracy without hiring more data scientists. Read More

• -Credit appraisal

• -Predictive modeling
• -Fraud detection

• -Cost saving
• -Increased visibility

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• -Predictive modeling
• -Report automation
• -Time series analysis

• -Increased visibility
• -Time saving
• -Enhanced collaboration

ONE Marketing used DataRobot to improve email targeting efforts for DR Koncerthuset, resulting in an 83% increase in ticket sales. Personalized emails had higher open and click-through rates, and DataRobot models seamlessly integrated with the existing marketing automation system. The use of machine learning allowed for more accurate predictions of events that subscribers would be interested in, leading to improved customer satisfaction and stronger relationships. Read More

• -Credit appraisal

• -Predictive modeling
• -Fraud detection

• -Time saving
• -Increased visibility

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 achieved better value for borrowers and low default risk for lenders. The company's small team of data scientists found DataRobot to be a valuable tool in accelerating their innovation and staying ahead of big banks. Read More