Designing, testing, and shipping an AI product is no small feat. How you organize your team — from roles and responsibilities to planning and process… Read More »DSC Webinar Series: Organize a Winning AI Team from Design to Deployment
Performing analytics at the edge is needed in today’s distributed landscape. Edge Computing allows the flexibility of virtualized computation, network and storage resources to the… Read More »DSC Webinar Series: Edge Computing with Real-time Analytics at Scale
Some things are best learned through real-world experience. Machine learning is no different. Getting machine learning right requires evolving your analytics platform to support moving… Read More »DSC Webinar Series: ML/AI Models: Continuous Integration & Deployment
Knowledge workers typically a) get information b) perform logic on that information and c) finally reach a conclusion and can take action. The time to… Read More »DSC Webinar Series: How Bank of America Uses Data Prep for Faster Reporting
In IoT, understanding the health of thousands of devices is critical for deployment at scale, especially when troubleshooting an issue. Customers need visibility into their… Read More »IoTC Webinar Series: Real-Time Actionable Data Analytics
Mathematical optimization (AKA Mixed Integer Programming) and Machine Learning (ML) are different but complementary technologies. Simply put – Mixed Integer Programming (MIP) answers questions that… Read More »DSC Webinar Series: Mathematical Optimization + ML: Featuring Forrester Survey Insights
Mathematical optimization, specifically Mixed Integer Programming (MIP), is a technology that is used to solve a large variety of problems within multiple industries, including supply… Read More »DSC Webinar Series: Adding Optimization to Your Analytics Toolbox
Running data science workloads is a challenge regardless of whether you are running them on your laptop, on an on-premises cluster, or in the cloud.… Read More »DSC Webinar Series: Patterns for Successful Data Science Projects
Financed smartphones are a magnet for identity theft, leaving retailers in the digital and telecommunication industry vulnerable to fraud. Consensus, a Target-owned subsidiary, has developed… Read More »DSC Webinar Series: Data Prep & Automated ML: Better Predictions for Consensus
A machine learning algorithm isn’t worth much without great training data to power it. After all, algorithms learn from data, discovering relationships, developing understanding, making… Read More »DSC Webinar Series: The Essentials of Training Data for Machine Learning
