The next generation of AI is here. Explore SparkCognition's newest product: Darwin. Experience the power of automated model building and revolutionize the data science process.
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Darwin the Tailor: Get Custom Models for Your Data
Darwin does the hard work of creating custom models by automating the task and quickly converting your data into usable resources for your industry.
The Darwin Difference: Why Darwin Stands Out From the AutoML Pack
Darwin™️ is an automated model building product that allows you to go from data to model in less time than traditional methods, enabling the rapid prototyping of scenarios and extraction of insights.
Use Case: A Full Framework for Automated Loan Processing
With AMB, lenders can expect an increase in loans offered, with optimized interest pricing and lower defaults, and a forecasted 20% ROI.
Customer Success Story: Predicting Customer Complaints for Telecom
With the power of NLP and auto ML a major telecom provider expects to reduce complaint call volume by 33%, all while increasing brand loyalty.
Darwin Demo: Fraud Detection
This video shows how Darwin, an automated model building tool, empowers data scientists by using historical data sets to build a model that detects fraudulent transactions.
Darwin Demo: Predicting Insurance Pricing
This video shows how Darwin, an automated model building tool, empowers data scientists by using historical data sets to build a model that predicts insurance pricing.
Darwin Demo: Predicting Customer Churn
This demo shows how Darwin creates a machine learning model to predict customer churn.
Darwin Demo: Automated Loan Approval
This video shows how Darwin, an automated model building tool, empowers data scientists to build a model that lending institutions can use to understand their customer base and better price loans.
Use Case: Preventing Customer Churn for Retail Banks
As competition, banks are expected to lose revenue due to customer churn. Natural language processing and automated machine learning generate insights into why customers churn and how to retain them.
Use Case: Predicting Financial Market Regimes with AI
The ability to more accurately predict market volatility, price changes, and price change directions comes with AI. To find the best possible methodology, one investment and trading company staged an
Use Case: Alternative Data for Investment Management
From hedge fund managers to mutual funds and even private equity managers, alternative data has the power to improve valuation of securities and boost the clarity of the investment process.
Darwin Efficacy Report
Darwin's automated model building capabilities offer unparalleled performance to generate highly accurate models. Thus, we sought to compare how Darwin performs against other platforms on the market.
Whitepaper: Neuroevolution Under the Hood
Neuroevolution amplifies a data scientist's work by enabling more effective model building, providing the ability to rapidly iterate through thousands of different models and architectures.
Use Case: Optimizing Energy Trading with Machine Learning
Utilities need to accurately forecast pricing for whole sales and retail markets to provide competitive offerings. Machine learning solutions allow utilities to move beyond the traditional approach.
Use Case: Improving Grid Reliability and Resiliency
The utility sector has already benefited from the use of machine learning by implementing predictive maintenance that predicts failures on critical equipment well in advance.
Predicting Customer Insurance Costs with Artificial Intelligence
Predict customer insurance costs using machine learning. Darwin builds neuroevolution tailored models that reduce the amount of tie spent building and maintaining models. Darwin. Automated Model
Reimagine Offshore Maintenance with AI
The oil and gas industry is a dynamic, ever changing arena. SparkCognition has developed AI-based predictive and prescriptive maintenance solutions to help companies adapt to the age of digitization.
Automating Model Building on the Google Cloud Platform
SparkCognition and Google Cloud Technology have partnered to weave artificial intelligence into the fabric of organizations by expanding the range of applications and tools optimized to run on GCP.
Case Study: Predicting Maintenance and Production in Oil Wells
Automated Model Building