Having 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 understand what it is, how it works, and how it's being used in the real world today. To learn more how SparkCognition is taking AI into the real world, visit our blog here.
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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.
Darwin Demo: Predicting Customer Churn with Artificial Intelligence
Predicting customer churn using machine learning. Darwin. Automated Model Building. Get Insights Faster.
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
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
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...
Cognitive Times Volume 4
SparkCognition's Darwin - Automated Model Building
SparkCognition's Darwin - Automated Model Building. The next generation of AI is here. Explore SparkCognition's newest product: Darwin. Experience the power of automated model building.
Time Machine Summit Reveals Emerging Trends in AI
At SparkCognition’s Time Machine conference, industry leaders from a variety of fields gathered to share insights into how AI is changing their business. Attendees were treated to two days of...
Time Machine Day 2 Recap
Our inaugural Time Machine summit is officially over, and it was definitely one for the books! Over 300 attendees joined us for two days in Austin to hear from leaders...
SparkCognition CEO on Using AI for Automated Modeling