Automated Model Building is a complex subject, but with SparkCognition's help you can be an expert too. Watch to see our four-part break down of exactly what automated model building is. But first, check out our Basics of Machine Learning here.
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Neuroevolution-based Automated Model Building
Common neural network architectures may work well for known, established data problems; however, they can fall short when modern machine learning applications demand more performance and higher levels
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.
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
Case Study: Improving Operational Efficiency and Returns in Oil and Gas
To remain competitive and maximize returns, oil and gas companies must utilize the massive amounts of data generated in the fields. The rise of the Internet of Things and smart sensors have created...
The Basics of Automated Model Building
By Marla Rosner and Keith Moore Previously, we’ve covered the basics of machine learning, including AI, deep learning, and neural networks. This time, we’re going to take a deep dive...
Automated Model Building is the Future of Predictive Maintenance for Oil and Gas
In an industry like oil and gas, where asset failures and unscheduled downtime can be catastrophic to the bottom line, few things are as critical as having an efficient and...
The Basics of Machine Learning
The Basics of Machine LearningHaving a hard time wrapping your head around machine learning? SparkCognition is here to help. In this video, we lay out the basics of machine learning so you can better
Cognitive Times Volume 4